All Synthetic Challenge 3 datasets are available on this page. Industry datasets will not be posted.

The intervals for each Division are not the same.

Division 1: Real-Time Market with 8-hour look ahead -- 8 0.25-hour periods, 8 0.5-hour periods, 2 1-hour periods
Division 2: Day-Ahead Market with 48-hour look ahead -- 48 1-hour periods
Division 3: Week-Ahead Advisory with 7-day (168-hour) look ahead -- 42 4-hour periods.

All time periods are given in hours.

Ch2-MoM uses the 84 synthetic scenarios used by the Challenge 2 Final Event, available on the Challenge 2 Dataset page (C2_Final)

Members of approved Challenge teams may submit algorithms to the GO Competition Platform’s Sandbox using the Sandbox datasets described on the Challenge Datasets page. To participate in an Event, the team leader must also submit Team and Individual Registration documentation from the leader's Account (login) page for approval by ARPA-E. Teams need to reconstitute themselves for each Challenge.

If you do not see the blue Submit button and submissions are OPEN (see Sandbox page), you are not part of an approved Team.

All Synthetic Challenge 1 datasets are available on this page.

Industry datasets will not be posted.

The Real-Time datasets used with Divisions 1 and 3 contained information that could be used as a starting point. The Offline datasets used will Divisions 2 and 4 were missing that information.

All Synthetic Challenge 2 datasets are available on this page.

Industry datasets will not be posted.

Unlike Challenge 1, a given scenario is the same for all 4 Divisions.

C3 Event 4

The 591 synthetic Challenge 3 Event 4 datasets from 9 network models (3.6 GB total) are downloadable from the table below; the 39 industry datasets (grand total of 630) are not available. Each dataset consists of 3 files; scenario.json, pop_solution.json, and popsolution.log. Unless otherwise indicated, each zip file contains data for all divisions (1-3). Event 4 used 39 Industry scenarios that will not be made public. An additional 39 scenarios from the set of 630 industry and synthetic were also run without allowing switching for a total of 669 scenarios used in scoring.

Dataset Links, Sizes, and Number of Synthetic Scenarios
C3E4N00073_20231002.zip	13.5 MB	88 scenarios
C3E4N00617_20231002.zip	84.8 MB	87 scenarios
C3E4N01576_20231002.zip	79.4 MB	48 scenarios
C3E4N02000_20231002.zip	130.7 MB	39 scenarios
C3E4N04224_20231002.zip	317.6 MB	72 scenarios
C3E4N06049D1_20231002.zip	428.8 MB	36 scenarios
C3E4N06049D2_20231002.zip	481.4 MB	18 scenarios
C3E4N06049D3_20231002.zip	275.1 MB	24 scenarios
C3E4N06717D1_20231002.zip	261.5 MB	36 scenarios
C3E4N06717D23_20231002.zip	328.9 MB	21 scenarios
C3E4N08316D1_20231002.zip	311.7 MB	48 scenarios
C3E4N08316D2_20231002.zip	333.2 MB	24 scenarios
C3E4N08316D3A_20231002.zip	304.3 MB	24 scenarios
C3E4N08316D3B_20231002.zip	328.8 MB	20 scenarios
C3E4N23643_20231002.zip	51.8 MB	6 scenarios

Number of Unique Synthetic Scenarios per Division per Network
Synthetic Network	Buses	D1	D2	D3	all
C3E4N00073	73	24	40	24	88
C3E4N00617	617	39	24	24	87
C3E4N01576	1,576	24	0	24	48
C3E4N02000	2,000	18	18	3	39
C3E4N04224	4,224	24	24	24	72
C3E4N06049	6,049	36	18	24	78
C3E4N06717	6,717	36	18	3	57
C3E4N08316	8,316	48	24	44	116
C3E4N23643	23,643	2	2	2	6
total scenarios		251	168	172	591

C3_Sandbox

Sandbox submissions are open.

S0

***THIS DATASET IS OBSOLETE, IT NO LONGER CONFORMS TO THE PROBLEM FORMULATION*** Use S0.1 instead.

Download the revised (12/8/2022) S0 Sandbox datasets (3.1 MB). It contains 4 network models consisting of 3-, 14-, 37- and 73-buses. Each S0 network model in this set consists one scenario with 4 JSON files for each division as follows:

scenario_nnn.json contains the problem input data,
scenario_nnn_summary.json contains information about the problem input data, including the length and number of periods as in the table below,
scenario_nnn_solution.json contains a feasible solution file produced by the Benchmark program for this scenario, and
scenario_nnn_evaluation.json, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

Download the S0.1 Sandbox datasets (8/4/2023, 4 network models, 12 scenarios, 36 files; 0.5 MB). Each S0.1 network model in this set consists of one scenario with 3 files for each division as follows:

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

The question has arisen to what extent did the changes from S0 to S0.1 affect the results. We recalculated using the S0.1 data and have appended the results to the right of the table below. The changes from the S0 objective to S0.1 can probably be explained as resulting from the evolution of the Benchmark code, with a notable exception, the 73-bus D1 case and perhaps D2 and D3 as well. Here, at least for D1, the changes clearly affect the character of the problem, for D2 and D3 less so, although the Benchmark team believes this too could be due to a change in the Benchmark.

**S0 datasets released December 8, 2022**
Division	network model	scenario	buses	ac lines	dc lines	transformers	shunts	simple dispatchable devices	producing devices	consuming devices	real power reserve zones	reactive power reserve zones	intervals	contingencies	hours duration	Objective "z" from (feasible) Benchmark solution	S0.1 Benchmark objective
1	C3S0N00003	3	3	2	0	2	2	3	2	1	1	1	18	2	8	143,164.98	143,275.23
2	C3S0N00003	3	3	2	0	2	2	3	2	1	1	1	48	2	48	907,176.92	907,887.74
3	C3S0N00003	3	3	2	0	2	2	3	2	1	1	1	42	2	168	2,943,776.23	2,955,859.62
1	C3S0N00014	3	14	17	0	3	1	17	6	11	2	2	18	12	8	369,670.34	369,842.67
2	C3S0N00014	3	14	17	0	20	1	17	6	11	2	2	48	12	48	2,231,247.62	2,232,386.54
3	C3S0N00014	3	14	17	0	3	1	17	6	11	2	2	42	12	168	7,808,744.45	7,813,029.49
1	C3S0N00037	3	37	43	0	14	8	34	8	26	2	2	18	40	8	1,787,896.16	1,789,046.05
2	C3S0N00037	3	37	43	0	14	8	34	8	26	2	2	48	40	48	10,697,172.61	10,703,727.01
3	C3S0N00037	3	37	43	0	14	8	34	8	26	2	2	42	40	168	37,469,492.15	37,492,278.94
1	C3S0N00073	2	73	105	1	15	73	208	157	51	1	1	18	2	8	1,218,124.58	8,498,839.91
2	C3S0N00073	2	73	105	1	15	73	208	157	51	1	1	48	2	48	55,569,951.09	58,940,044.10
3	C3S0N00073	2	73	105	1	15	73	208	157	51	1	1	42	2	168	195,862,934.29	201,621,502.56

These small datasets are intended to help entrants create solvers that can correctly handle Challenge 3 data formats. The solutions produced by the Benchmark are not intended to be anywhere near optimal. Their purpose is to demonstrate that feasible solutions do exist and what a valid solution file would look like.

S1

***THIS DATASET IS OBSOLETE, IT NO LONGER CONFORMS TO THE PROBLEM FORMULATION*** Use S1.1 instead.

Download the S1 Sandbox datasets (55.5 MB) released December 22, 2022. It contains 4 network models consisting of 600-, 1576-, 4200- and 6049-buses. Each S1 network model in this set consists one scenario with 3 JSON files for each division as follows:

scenario_nnn.json contains the problem input data,
scenario_nnn_pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn_pop_eval_summary.json, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

Download the S1.1 Sandbox datasets (8/7/2023, 4 network models, 12 scenarios, 32 files; 37.7 MB). Each S1.1 network model in this set consists of one scenario with 2 files for Division 1 and 3 files for Divisions 2 and 3 as follows:

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario. (Not available in Division 1, basically the same as S1)

As with S0.1, we recalculated using the S1.1 data and have appended the results to the right of the table below. The changes from the S1 objective to S1.1 can probably be explained as resulting from the evolution of the Benchmark code. In some cases the newer Benchmark code takes longer so the strict time limits were removed to obtain the result.

**S1 datasets released December 22,2022**
network model	scenario	buses	ac lines	dc lines	transformers	shunts	simple dispatchable devices	producing devices	consuming devices	real power reserve zones	reactive power reserve zones	intervals	contingencies	hours duration	Objective "z" from (feasible) Benchmark solution 1/24/23	S1.1 Benchmark objective
C3S1N00600D1	1	617	723	0	130	22	499	94	405	10	10	18	562	8	42,226,325	44,842,983
C3S1N00600D2	1	617	723	0	130	22	499	94	405	10	10	48	562	48	272,379,900	275,171,405
C3S1N00600D3	1	617	723	0	130	22	499	94	405	10	10	42	562	168	956,326,855	966,076,124
																* extra time
C3S1N01576D1	1	1576	2227	0	144	68	2064	615	1449	2	2	18	219	8	1,611,632	2,032,806*
C3S1N01576D2	1	1576	2227	0	144	68	2064	615	1449	2	2	48	219	48	8,868,527	10,247,108*
C3S1N01576D3	1	1576	2227	0	144	68	2064	615	1449	2	2	42	219	168	30,371,197	36,655,236

C3S1N04200D1	1	4224	2605	0	2325	436	2151	478	1673	2	2	18	2313	8	256,604,444	280,677,840*
C3S1N04200D2	1	4224	2605	0	2325	436	2151	478	1673	2	2	48	2313	48	1,619,066,741	1,687,192,177
C3S1N04200D3	1	4224	2605	0	2325	436	2151	478	1673	2	2	42	2313	168	5,381,415,727	5,907,193,284

C3S1N06049D1	1	6049	4920	0	3086	236	3836	468	3368	6	6	18	3884	8	214,346,894	232,123,101*
C3S1N06049D2	1	6049	4920	0	3086	236	3836	468	3368	6	6	48	3884	48	1,369,855,103	1,137,028,044*
C3S1N06049D3	1	6049	4920	0	3086	236	3836	468	3368	6	6	42	3884	168	4,798,688,125	4,690,386,737

E1

***THIS DATASET IS NOT OBSOLETE, IT IS THE SAME AS E1.1***

Download the E1 Sandbox datasets (312.5 MB) released February 14, 2023. It contains 257 scenarios comprised of 8 network models consisting of 3-, 14-, 37-, 73-, 600-, 1576-, 4200- and 6049-buses from the S0 and S1 datasets, with variations on load profiles. No industry dataset was used for Event 1.

Each E1 network model in this set consists of multiple scenarios, each with 3 files (771 total files):

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. If positive and feasible, this will be the score for the scenario.

The solutions produced by the Prior Operating Point (POP) program are not intended to be anywhere near optimal. Their purpose is to demonstrate that feasible solutions do exist and what a valid solution file would look like. The E1 results demonstrate that positive feasible solutions are possible for every scenario (see the Best results in column E). See the Event 1 Leaderboard for more results.

S2

***THIS DATASET IS NOT OBSOLETE, IT IS THE SAME AS S2.1***

Download the (3/16/2023) S2 Sandbox datasets (15.5 MB). The zip file contains 2 network models consisting of 2000- and 6717-buses intended for use with Event 2. Each network model consists one scenario with 3 JSON files for each division as follows:

scenario_001.json contains the problem input data,
scenario_001.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_001.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

**S2 datasets released March 16, 2023**
Network Model	scenario	buses	ac lines	dc lines	transformers	shunts	simple dispatchable devices	producing devices	consuming devices	real power reserve zones	reactive power reserve zones	intervals	contingencies	hours duration	Benchmark solution "z"	Benchmark seconds
C3S2N02000D1	1	2000	2345	0	861	157	1894	544	1350	20	30	18	2756	8	167,849,195	860*
C3S2N02000D2	1	2000	2345	0	861	157	1894	544	1350	20	30	48	2756	48	980,180,768	1987
C3S2N02000D3	1	2000	2345	0	861	157	1894	544	1350	20	30	42	2756	168	3,428,929,639	2262
C3S2N06717D1	1	6717	7173	0	1967	634	5826	731	5095	30	50	18	2670	8	41,608,836	4991*
C3S2N06717D2	1	6717	7173	0	1967	634	5826	731	5095	30	50	48	2670	48	176,799,819	32646*
C3S2N06717D3	1	6717	7173	0	1967	634	5826	731	5095	30	50	42	2670	168	466,572,608	19046*
																*exceeds time limit

E2

***THIS DATASET IS OBSOLETE, IT NO LONGER CONFORMS TO THE PROBLEM FORMULATION*** Use E2.1 instead.

The E2 Sandbox datasets released May 10, 2023 are available as three downloads (one for each Division): C3E2D1 (65 MB); C3E2D2 (320 MB); and C3E2D3 (245 MB). Together they contain 175 scenarios comprised of 8 network models consisting of 73-, 617-, 1576-, 2000-, 4224-, 6049-, 6708-, and 6717-buses from the S1 and S2 datasets, with variations on load profiles. The 6708-bus network is an industry dataset and is not included in the download but is available for use in the Sandbox, although results will be limited to the objective value produced by the Evaluation program. The 6708-bus dataset makes use of the "additional_shunt" feature described on page 15 of the Data Format document.

Each E2 network model in this set consists of multiple scenarios, each with 3 files as in E1:

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. If positive and feasible, this will be the score for the scenario.

E2.1

A requirement on problem data that the penalty coefficients on certain soft constraints be strictly positive has been added to the Problem Formulation. These constraints are bus real and reactive power balance, line apparent power flow limits, multi-interval energy production and consumption limits, and reserve balance constraints on regulation down, regulation up, synchronized reserve, non-synchronized reserve, ramping reserve down, ramping reserve up, reactive power reserve down, and reactive power reserve up. This requirement is posted in the May 15, 2023 version of the Problem Formulation document, and the change is mentioned in the change log item for May 15, 2023. The data checker code in C3DataUtilities now checks for positivity of these coefficients and reports an error if they are not positive. Two public datasets, the E2 2000- and 6717-bus systems released May 10, do not meet this positivity requirement and therefore fail the current data checker. We have modified these datasets by setting the relevant coefficients equal to 1 ($/pu-h), and the modified datasets pass the data checker. Download the (5/15/2023) E2.1 Sandbox datasets (276 MB) with the updated 2000- and 6717-bus systems.

S3.1

Download the (06/06/2023) S3.1 Sandbox datasets (104 MB); specify dataset=S3.1 in submission.conf, not S3. The zip file contains 6 network models consisting of 14-, 37-, 1576-, 2000-, 8,316- and 23,643-buses and 41 scenarios (123 files). Event 3 will use the 73-bus and larger networks from E2 as well as the two new detailed below, with a caveat: the 23,643-bus system is very difficult and its use is still under discussion. There are two issues: memory and time. The current evaluation platform has 256 GB of memory per node but this is not enough for the current benchmark. One of the Event 2 codes was able to find a positive feasible solution for Division 1, but it took 11.6 hours (Divisions 2 and 3 ran out of memory). Another Event 2 code found negative feasible solutions but took 2.54-, 4.16-, 2.83-hours for D1, D2, D3. Only the D3 time was within our current limits. A third code produced no results for any division after 72 hours. We may raise the time limits for this one or just see what the teams can do with it as is. The two smaller networks incorporate the features seen in other networks, including the industry network used in E2 and will be used again in E3. Putting these features in the small networks is intended to aid debugging. As with E2.1 above, these datasets only satisfy versions of the data checker later than 4/25/2023. The 06/05/2023 version of S3.1 should be deleted. It has some files mislabeled.

Do not use the following. They have some invalid data uncovered by the June 7 version of the checker and have been removed from the Sandbox.

S3.1/D*/C3S3N00037D*/scenario_001.json; S3.1/D1/C3S3N01576D1/scenario_007.json; and S3.1/D*/C3S3N23643D*/scenario_001.json.

>>>S3.1/D*/C3S3N23643D*/scenario_003.json is now available as a replacement for scenario 1 in the Sandbox.

Each network model consists one scenario with 3 JSON files for each division as follows:

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

**New S3.1 datasets released June 5, 2023**
Network	Scenario	Buses	AC lines	DC lines	Transformers	Shunts	Contingencies	dispatchable devices	consuming devices	producing devices	real power reserve zones	reactive power reserve zones	time periods	hours duration	POP objective
C3S3N08316D1	1	8316	7723	0	4249	1179	6289	5583	4457	1126	7	7	18	8	909,330,189
C3S3N08316D2	1	8316	7723	0	4249	1179	6289	5585	4457	1128	7	7	48	48	5,458,579,856
C3S3N08316D3	1	8316	7723	0	4249	1179	6289	5589	4457	1132	7	7	42	168	19,081,976,871
C3S3N23643D1	3	23643	23797	1	9942	2717	26870	18005	11731	6274	16	36	18	8	-5,274,566,816
C3S3N23643D2	3	23643	23797	1	9942	2717	26870	18005	11731	6274	16	36	48	48	-31,658,669,942
C3S3N23643D3	3	23643	23797	1	9942	2717	26870	18005	11731	6274	16	36	42	168	-110,805,378,386

New in the Sandbox 8/21/23

There will be many generation/load variations in E4 based on a base configuration for each network model. Here are the base configurations (or a derivative if the base is not available) being used for Event 4. For 73-bus D2 and D3, use any of the dataset=E1.1 scenarios. Download the new data (33.88 MB, 10 scenarios).

dataset=S3.1
model	scenario	Benchmark z
C3S3N00073D1*	302	25,979,609
C3S3N01576D1*	128	98,260,979
C3S3N01576D2*	27	514,270,938
C3S3N01576D3*	27	1,837,814,658
C3S3N02000D1	2	-171,731,077
C3S3N02000D2	2	237,219,384
C3S3N02000D3	2	162,063,017
C3S3N06049D1*	1	228,643,784
C3S3N06049D2*	1	1,334,108,821
C3S3N06049D3*	1	4,613,243,007
C3S3N06717D1*	1	25,939,903
C3S3N06717D2*	1	210,472,159
C3S3N06717D3*	1	781,883,683
C3S3N08316D1	1	1,166,808,367
C3S3N08316D2	1	6,949,928,493
C3S3N08316D3	1	24,394,181,787
*new for S3.1

This applies to the 6708-bus industry network as well and we suggest you practice on the scenarios in the Sandbox from previous Events.

E3.1

Due to its size, the (06/29/2023) E3.1 Sandbox datasets come in 3 files: Division 1 (28 datasets, 124 MB), Division 2 (41 datasets, 171 MB), and Division 3 (28 datasets, 106 MB).

The Division 1 network models are C3E3N00617D1, C3E3N01576D1, C3E3N04224D1, C3E3N06049D1, C3E3N06717D1, C3E3N08316D1, and C3E3N23643D1.

The Division 2 network models are C3E3N00073D2, C3E3N00617D2, C3E3N01576D2, C3E3N04224D2, C3E3N06049D2, C3E3N08316D2, and C3E3N23643D2.

The Division 3 network models are C3E3N00073D3, C3E3N00617D3, C3E3N01576D3, C3E3N04224D3, C3E3N06049D3, C3E3N08316D3, and C3E3N23643D3.

The industry network, C3E3N06708D[1|2|3], is not available for download but may be run in the Sandbox. See the E3 Leaderboard for the list of all scenarios.

Each network model consists one or more scenarios with 3 JSON files:

scenario_nnn.json contains the problem input data,
scenario_nnn.json.pop_solution.json contains a feasible solution file produced by the POP (Prior Operating Point) program for this scenario, and
scenario_nnn.json.popsolution.log, the output from the Evaluation program that calculates the objective ("z") from the solution file. This will be the score for the scenario.

Specify dataset=E3.1 in submission.conf

S4

Download the (08/03/2023) S4X_20230803.zip Sandbox datasets (9 617-bus scenarios; 2.2 MB), the X indicates these are switching enhanced datasets. This set of 9 617-bus Division 1 scenarios was constructed to demonstrate the advantages of using line switching. As stated on the Languages page, setting the submission.conf parameter experiment controls the use of switching during a Sandbox run. Similar cases will be used in Event 4.

experiment = [SW0 | SW1], where SW0 indicates that the AllowSwitching parameter passed as a runtime parameter is set to 0 (switching not allowed and if detected will result in an infeasible determination for the solution). The default is SW1, i.e., switching is allowed. To access this dataset, specify dataset=S4 in submission.conf, as well as the desired model and scenario number given in the table below.

We have run the 9 S4X datasets using the Benchmark code with and without switching and observed the following results.

**Impact of Line Switching**
model	scenario	SW0 Benchmark objective	SW1 Benchmark objective	improvement	switches set
C3S4N00617D1	941	38,848,261	45,269,561	17%	5
C3S4N00617D1	942	32,477,958	45,114,499	39%	10
C3S4N00617D1	943	29,697,452	44,525,029	50%	14
C3S4N00617D1	951	44,026,474	45,269,390	3%	5
C3S4N00617D1	952	41,049,750	45,205,788	10%	10
C3S4N00617D1	953	39,739,924	45,283,140	14%	14
C3S4N00617D1	961	45,270,027	45,269,485	0%	5
C3S4N00617D1	962	44,742,081	45,284,207	1%	10
C3S4N00617D1	963	44,183,223	45,310,245	3%	14

Download the (08/09/2023) S4X_20230809.zip Sandbox datasets (above plus 4 73-bus scenarios; 2.85 MB).

We know that there are opportunities for beneficial switching in these scenarios beyond the numerical results we have shown, particularly for the 73-bus scenarios. For each scenario, we solved it with the benchmark solver with no switching allowed. Then we modified the initial on/off status of some branches and ran the benchmark solver again and observed improvement in the objective. In some scenarios this improvement was well over 100%. On its own, so far, the benchmark solver simply turns on branches that are off. The 73-bus scenarios have cases where a branch needs to be turned off, so the benchmark solver sees no improvement.

**difficult switching scenarios**
network model	scenario	SW0 or SW1 Benchmark objective
C3S4N00073D2	991	340,722
C3S4N00073D2	992	1,298,867
C3S4N00073D2	996	3,832,781
C3S4N00073D2	997	1,196,651

C1_Final_Event

The Final Event dataset, posted December 3, 2019, has two parts: Real-Time (used with Divisions 1 and 3; 10 minute time limit for code1) and Offline (used with Divisions 2 and 4; 45 minute time limit for code1). Each part consists of 17 Network Models with 20 scenarios each. The * in the Network Model name is replaced with either R for Real-Time (Divisions 1 and 3), or O for Offline (Divisions 2 and 4). The only difference is the starting information (5 variables) in the raw files. The relative problem difficulty presentation is available here.

The Real-Time dataset may be downloaded from

https://dtn2.pnl.gov/arpacomp/F1/Challenge_1_Final_Event_Real-Time.zip (170 MB).

The Offline dataset may be downloaded from

https://dtn2.pnl.gov/arpacomp/F1/Challenge_1_Final_Event_Offline.zip (145 MB).

Please note that the number of contingencies for Network_13 is incorrect in the results information sent to the entrant teams. The values below are correct.

Network Model	Scenario	Buses	Loads	Fixed Shunts	Generators	Nontransformer Branches	Transformers	Areas	Switched Shunts	Contingencies	Slack Score
Network_02*-173	1	500	281	5	224	540	193	1	31	724	31,546,034,610.69
Network_02*-173	5	500	281	5	224	540	193	1	31	714	34,218,030,414.34
Network_02*-173	9	500	281	5	224	540	193	1	31	731	37,040,315,056.69
Network_02*-173	15	500	281	5	224	540	193	1	31	760	38,270,696,330.34
Network_02*-173	33	500	281	5	224	540	193	1	31	709	32,293,790,039.37
Network_02*-173	65	500	281	5	224	540	193	1	31	744	37,662,891,967.82
Network_02*-173	67	500	281	5	224	540	193	1	31	693	33,172,853,748.16
Network_02*-173	72	500	281	5	224	540	193	1	31	742	38,106,723,531.24
Network_02*-173	75	500	281	5	224	540	193	1	31	735	34,881,073,087.75
Network_02*-173	123	500	281	5	224	540	193	1	31	761	40,951,281,699.53
Network_02*-173	128	500	281	5	224	540	193	1	31	719	37,110,335,825.41
Network_02*-173	131	500	281	5	224	540	193	1	31	725	35,579,808,858.27
Network_02*-173	135	500	281	5	224	540	193	1	31	738	35,445,862,949.84
Network_02*-173	136	500	281	5	224	540	193	1	31	732	33,126,792,638.46
Network_02*-173	140	500	281	5	224	540	193	1	31	708	32,259,854,336.50
Network_02*-173	156	500	281	5	224	540	193	1	31	713	34,751,021,199.53
Network_02*-173	159	500	281	5	224	540	193	1	31	703	32,990,049,213.23
Network_02*-173	165	500	281	5	224	540	193	1	31	722	34,610,474,767.91
Network_02*-173	167	500	281	5	224	540	193	1	31	723	35,686,942,005.45
Network_02*-173	169	500	281	5	224	540	193	1	31	758	38,932,235,245.92

Network_03*-200	12	793	568	49	214	770	143	1	50	100	13,805,752,103.30
Network_03*-200	15	793	568	49	214	770	143	1	50	91	11,300,972,644.36
Network_03*-200	25	793	568	49	214	770	143	1	50	100	14,021,408,231.40
Network_03*-200	55	793	568	49	214	770	143	1	50	100	14,026,804,794.49
Network_03*-200	62	793	568	49	214	770	143	1	50	92	12,004,991,659.64
Network_03*-200	65	793	568	49	214	770	143	1	50	90	10,936,783,020.75
Network_03*-200	68	793	568	49	214	770	143	1	50	92	12,132,585,244.72
Network_03*-200	72	793	568	49	214	770	143	1	50	98	13,535,187,088.22
Network_03*-200	111	793	568	49	214	770	143	1	50	89	10,820,831,519.45
Network_03*-200	121	793	568	49	214	770	143	1	50	91	11,628,800,330.37
Network_03*-200	135	793	568	49	214	770	143	1	50	89	10,567,659,039.22
Network_03*-200	148	793	568	49	214	770	143	1	50	86	10,103,128,145.17
Network_03*-200	154	793	568	49	214	770	143	1	50	86	10,208,372,645.64
Network_03*-200	156	793	568	49	214	770	143	1	50	85	10,107,685,829.30
Network_03*-200	159	793	568	49	214	770	143	1	50	85	10,111,947,795.33
Network_03*-200	165	793	568	49	214	770	143	1	50	89	11,593,521,511.44
Network_03*-200	166	793	568	49	214	770	143	1	50	89	11,541,546,133.36
Network_03*-200	185	793	568	49	214	770	143	1	50	88	10,733,356,206.09
Network_03*-200	190	793	568	49	214	770	143	1	50	91	11,918,819,235.78
Network_03*-200	195	793	568	49	214	770	143	1	50	86	10,101,716,348.97

Network_06*-124	5	2,000	1,010	0	384	2,743	896	3	124	2,535	68,902,633,103.21
Network_06*-124	10	2,000	1,010	0	384	2,743	896	3	124	2,459	55,824,788,031.66
Network_06*-124	17	2,000	1,010	0	384	2,743	896	3	124	2,535	69,221,939,121.93
Network_06*-124	25	2,000	1,010	0	384	2,743	896	3	124	2,421	56,807,274,215.48
Network_06*-124	35	2,000	1,010	0	384	2,743	896	3	124	2,449	56,838,940,566.04
Network_06*-124	36	2,000	1,010	0	384	2,743	896	3	124	2,479	59,275,446,882.61
Network_06*-124	40	2,000	1,010	0	384	2,743	896	3	124	2,530	67,225,835,166.27
Network_06*-124	45	2,000	1,010	0	384	2,743	896	3	124	2,490	58,865,992,129.28
Network_06*-124	50	2,000	1,010	0	384	2,743	896	3	124	2,497	62,644,187,748.48
Network_06*-124	63	2,000	1,010	0	384	2,743	896	3	124	2,521	65,701,204,718.33
Network_06*-124	64	2,000	1,010	0	384	2,743	896	3	124	2,520	66,511,316,611.01
Network_06*-124	65	2,000	1,010	0	384	2,743	896	3	124	2,466	56,999,952,490.67
Network_06*-124	72	2,000	1,010	0	384	2,743	896	3	124	2,471	58,306,772,232.97
Network_06*-124	75	2,000	1,010	0	384	2,743	896	3	124	2,487	58,931,976,500.34
Network_06*-124	95	2,000	1,010	0	384	2,743	896	3	124	2,469	58,661,357,239.33
Network_06*-124	96	2,000	1,010	0	384	2,743	896	3	124	2,535	68,883,704,414.11
Network_06*-124	98	2,000	1,010	0	384	2,743	896	3	124	2,493	62,086,099,958.61
Network_06*-124	105	2,000	1,010	0	384	2,743	896	3	124	2,530	67,096,259,600.71
Network_06*-124	117	2,000	1,010	0	384	2,743	896	3	124	2,470	58,178,152,635.67
Network_06*-124	124	2,000	1,010	0	384	2,743	896	3	124	2,442	56,969,616,777.38

Network_70*-422	21	2,312	1,529	121	444	2,156	857	1	201	982	34,574,053,527.01
Network_70*-422	60	2,312	1,529	121	444	2,156	857	1	201	1,017	44,672,214,207.17
Network_70*-422	71	2,312	1,529	121	444	2,156	857	1	201	999	39,111,678,079.32
Network_70*-422	85	2,312	1,529	121	444	2,156	857	1	201	1,012	43,943,240,758.31
Network_70*-422	162	2,312	1,529	121	444	2,156	857	1	201	986	35,297,807,088.21
Network_70*-422	172	2,312	1,529	121	444	2,156	857	1	201	987	35,834,534,852.40
Network_70*-422	175	2,312	1,529	121	444	2,156	857	1	201	987	35,923,172,831.39
Network_70*-422	189	2,312	1,529	121	444	2,156	857	1	201	986	35,153,850,122.89
Network_70*-422	215	2,312	1,529	121	444	2,156	857	1	201	1,002	40,331,463,025.32
Network_70*-422	251	2,312	1,529	121	444	2,156	857	1	201	1,028	46,404,784,410.47
Network_70*-422	259	2,312	1,529	121	444	2,156	857	1	201	1,010	41,045,467,131.70
Network_70*-422	275	2,312	1,529	121	444	2,156	857	1	201	1,008	41,826,887,636.72
Network_70*-422	289	2,312	1,529	121	444	2,156	857	1	201	1,037	50,307,049,049.59
Network_70*-422	303	2,312	1,529	121	444	2,156	857	1	201	1,001	39,244,258,274.62
Network_70*-422	305	2,312	1,529	121	444	2,156	857	1	201	1,021	44,164,920,758.13
Network_70*-422	335	2,312	1,529	121	444	2,156	857	1	201	1,035	49,326,514,774.16
Network_70*-422	352	2,312	1,529	121	444	2,156	857	1	201	993	36,692,554,402.20
Network_70*-422	355	2,312	1,529	121	444	2,156	857	1	201	1,003	40,357,607,909.69
Network_70*-422	375	2,312	1,529	121	444	2,156	857	1	201	994	37,113,370,652.41
Network_70*-422	411	2,312	1,529	121	444	2,156	857	1	201	997	38,634,940,539.19

Network_75*-040	2	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,836,713.55
Network_75*-040	5	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,852,855.29
Network_75*-040	7	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,846,313.13
Network_75*-040	8	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,886,614.00
Network_75*-040	9	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,900,439.63
Network_75*-040	10	2,742	1,831	0	182	3,071	1,602	1	15	2,154	90,386,833,169.46
Network_75*-040	12	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,450,627.13
Network_75*-040	14	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,486,432.51
Network_75*-040	15	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,463,062.53
Network_75*-040	16	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,475,460.01
Network_75*-040	17	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,462,449.14
Network_75*-040	18	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,493,908.75
Network_75*-040	20	2,742	1,830	0	180	3,070	1,602	1	15	2,151	89,715,454,108.98
Network_75*-040	25	2,742	1,834	0	180	3,070	1,602	1	15	2,151	89,894,744,438.74
Network_75*-040	28	2,742	1,834	0	180	3,070	1,602	1	15	2,151	89,894,775,128.52
Network_75*-040	31	2,742	1,834	0	192	3,070	1,602	1	15	2,163	89,362,621,642.32
Network_75*-040	35	2,742	1,834	0	192	3,070	1,602	1	15	2,163	89,362,635,681.87
Network_75*-040	36	2,742	1,834	0	192	3,070	1,602	1	15	2,163	89,362,650,329.88
Network_75*-040	39	2,742	1,834	0	192	3,070	1,602	1	15	2,163	89,362,679,822.39
Network_75*-040	40	2,742	1,834	0	192	3,070	1,602	1	15	2,163	89,362,623,206.99

Network_08*-373	35	3,022	1,793	129	637	2,838	1,297	1	402	1,935	133,169,489,445.25
Network_08*-373	45	3,022	1,793	129	637	2,838	1,297	1	402	1,937	126,035,767,916.07
Network_08*-373	69	3,022	1,793	129	637	2,838	1,297	1	402	1,947	130,320,778,165.02
Network_08*-373	136	3,022	1,793	129	637	2,838	1,297	1	402	1,903	117,182,865,815.96
Network_08*-373	147	3,022	1,793	129	637	2,838	1,297	1	402	1,897	113,071,996,934.03
Network_08*-373	151	3,022	1,793	129	637	2,838	1,297	1	402	1,903	115,165,588,784.79
Network_08*-373	156	3,022	1,793	129	637	2,838	1,297	1	402	1,895	114,171,311,590.07
Network_08*-373	175	3,022	1,793	129	637	2,838	1,297	1	402	1,887	111,565,325,793.63
Network_08*-373	188	3,022	1,793	129	637	2,838	1,297	1	402	1,884	110,804,697,025.79
Network_08*-373	195	3,022	1,793	129	637	2,838	1,297	1	402	1,877	109,302,727,095.38
Network_08*-373	196	3,022	1,793	129	637	2,838	1,297	1	402	1,877	109,338,868,863.44
Network_08*-373	216	3,022	1,793	129	637	2,838	1,297	1	402	1,928	123,415,977,404.63
Network_08*-373	243	3,022	1,793	129	637	2,838	1,297	1	402	1,972	138,910,312,863.70
Network_08*-373	245	3,022	1,793	129	637	2,838	1,297	1	402	1,966	136,782,863,478.12
Network_08*-373	247	3,022	1,793	129	637	2,838	1,297	1	402	1,963
Network_08*-373	261	3,022	1,793	129	637	2,838	1,297	1	402	1,970	139,543,432,827.35
Network_08*-373	268	3,022	1,793	129	637	2,838	1,297	1	402	1,929	121,853,135,374.29
Network_08*-373	275	3,022	1,793	129	637	2,838	1,297	1	402	1,970	140,067,056,232.01
Network_08*-373	305	3,022	1,793	129	637	2,838	1,297	1	402	1,932	122,729,618,323.20
Network_08*-373	365	3,022	1,793	129	637	2,838	1,297	1	402	1,907	116,829,434,831.29

Network_82*-010	3	4,601	3,502	0	408	5,145	2,054	1	17	2,528	18,952,016,434.26
Network_82*-010	5	4,601	3,502	0	408	5,145	2,054	1	17	2,528	18,951,976,645.40
Network_82*-010	9	4,601	3,502	0	408	5,145	2,054	1	17	2,528	18,952,169,115.91
Network_82*-010	10	4,601	3,502	0	408	5,145	2,054	1	17	2,528	18,951,967,962.10
Network_82*-040	2	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,343,798.15
Network_82*-040	3	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,373,262.92
Network_82*-040	4	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,447,028.26
Network_82*-040	5	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,349,055.90
Network_82*-040	7	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,292,726.22
Network_82*-040	9	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,428,500.06
Network_82*-040	10	3,970	2,868	0	393	4,505	2,138	1	13	2,501	18,960,342,684.46
Network_82*-040	13	3,970	2,868	0	392	4,505	2,138	1	13	2,500	18,377,359,453.62
Network_82*-040	19	3,970	2,868	0	392	4,505	2,138	1	13	2,500	18,377,418,932.01
Network_82*-040	27	3,970	2,868	0	391	4,505	2,138	1	13	2,499	17,650,516,462.80
Network_82*-040	28	3,970	2,868	0	391	4,505	2,138	1	13	2,499	17,650,616,356.15
Network_82*-040	29	3,970	2,868	0	391	4,505	2,138	1	13	2,499	17,650,639,084.10
Network_82*-040	33	3,970	2,868	0	383	4,505	2,138	1	13	2,491	16,793,126,904.63
Network_82*-040	34	3,970	2,868	0	383	4,505	2,138	1	13	2,491	16,793,190,114.15
Network_82*-040	39	3,970	2,868	0	383	4,505	2,138	1	13	2,491	16,793,279,938.30
Network_82*-040	40	3,970	2,868	0	383	4,505	2,138	1	13	2,491	16,793,100,712.75

Network_83*-130	4	4,020	2,691	0	345	4,650	2,338	1	43	3,026	76,930,949,459.73
Network_83*-130	5	4,020	2,691	0	345	4,650	2,338	1	43	3,026	76,930,917,069.20
Network_83*-130	19	4,020	2,691	0	345	4,650	2,338	1	43	3,026	77,725,639,720.35
Network_83*-130	26	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,989,533,079.09
Network_83*-130	28	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,989,513,255.16
Network_83*-130	46	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,570,208,561.16
Network_83*-130	47	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,570,158,945.42
Network_83*-130	50	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,570,122,557.28
Network_83*-130	55	4,020	2,691	0	352	4,650	2,338	1	43	3,033	78,570,328,645.59
Network_83*-130	66	4,020	2,691	0	352	4,649	2,338	1	43	3,032	79,095,258,716.75
Network_83*-130	71	4,020	2,691	0	345	4,650	2,338	1	43	3,026	76,894,450,226.71
Network_83*-130	82	4,020	2,691	0	349	4,649	2,338	1	43	3,030	76,563,969,816.83
Network_83*-130	85	4,020	2,691	0	349	4,649	2,338	1	43	3,030	76,564,115,306.33
Network_83*-130	96	4,020	2,691	0	349	4,622	2,338	1	43	3,003	76,652,287,696.24
Network_83*-130	100	4,020	2,691	0	349	4,622	2,338	1	43	3,003	76,652,116,250.03
Network_83*-130	102	4,020	2,691	0	352	4,648	2,338	1	43	3,031	77,702,890,600.62
Network_83*-130	110	4,020	2,691	0	352	4,648	2,338	1	43	3,031	77,702,886,706.05
Network_83*-130	116	4,020	2,691	0	352	4,648	2,338	1	43	3,031	78,644,619,412.27
Network_83*-130	117	4,020	2,691	0	352	4,648	2,338	1	43	3,031	78,644,416,802.59
Network_83*-130	125	4,020	2,691	0	352	4,649	2,338	1	43	3,032	78,362,744,537.19

Network_86*-040	1	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,435,533.39
Network_86*-040	4	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,513,581.15
Network_86*-040	5	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,467,444.16
Network_86*-040	6	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,485,778.07
Network_86*-040	7	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,454,089.95
Network_86*-040	8	4,619	3,292	0	384	5,739	2,413	1	206	3,061	160,295,537,578.89
Network_86*-040	11	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,638,227.60
Network_86*-040	12	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,637,531.85
Network_86*-040	13	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,657,169.83
Network_86*-040	15	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,663,905.30
Network_86*-040	16	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,685,561.77
Network_86*-040	17	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,641,263.30
Network_86*-040	19	4,619	3,291	0	347	5,739	2,411	1	205	3,026	154,768,722,018.88
Network_86*-040	23	4,619	3,292	0	352	5,739	2,411	1	205	3,031	154,970,138,914.14
Network_86*-040	25	4,619	3,292	0	352	5,739	2,411	1	205	3,031	154,970,142,602.89
Network_86*-040	29	4,619	3,292	0	352	5,739	2,411	1	205	3,031	154,970,206,494.54
Network_86*-040	35	4,619	3,292	0	353	5,739	2,411	1	205	3,032	156,732,854,680.07
Network_86*-040	37	4,619	3,292	0	353	5,739	2,411	1	205	3,032	156,732,832,107.56
Network_86*-040	38	4,619	3,292	0	353	5,739	2,411	1	205	3,032	156,732,891,149.16
Network_86*-040	39	4,619	3,292	0	353	5,739	2,411	1	205	3,032	156,732,910,514.61

Network_88*-030	2	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,829,555.23
Network_88*-030	3	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,867,328.12
Network_88*-030	6	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,967,535.56
Network_88*-030	7	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,796,299.80
Network_88*-030	8	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,913,124.11
Network_88*-030	9	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,952,825.28
Network_88*-030	10	4,837	2,753	0	332	4,746	3,019	1	48	3,435	54,163,834,067.64
Network_88*-030	11	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,433,032.99
Network_88*-030	12	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,431,010.82
Network_88*-030	13	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,465,833.92
Network_88*-030	17	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,399,486.86
Network_88*-030	19	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,549,539.33
Network_88*-030	20	4,837	2,753	0	331	4,746	3,019	1	48	3,434	53,402,441,511.00
Network_88*-030	23	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,094,736.58
Network_88*-030	24	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,167,427.70
Network_88*-030	25	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,136,406.57
Network_88*-030	26	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,188,499.21
Network_88*-030	28	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,139,561.16
Network_88*-030	29	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,205,813.94
Network_88*-030	30	4,836	2,753	0	327	4,746	3,016	1	49	3,429	49,315,072,239.18

Network_09*-195	27	4,918	3,070	243	1,340	4,412	2,315	31	486	5,077	222,452,689,889.85
Network_09*-195	31	4,918	3,070	243	1,340	4,412	2,315	31	486	5,077	222,198,893,951.80
Network_09*-195	39	4,918	3,070	243	1,340	4,412	2,315	31	486	5,077	240,101,022,658.56
Network_09*-195	40	4,918	3,070	243	1,340	4,412	2,315	31	486	5,077	240,830,713,647.35
Network_09*-195	50	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	224,092,797,148.03
Network_09*-195	85	4,918	3,070	243	1,340	4,412	2,315	31	486	5,078	220,449,777,625.48
Network_09*-195	86	4,918	3,070	243	1,340	4,412	2,315	31	486	5,078	222,973,423,869.29
Network_09*-195	99	4,918	3,070	243	1,340	4,412	2,315	31	486	5,078	227,659,955,850.28
Network_09*-195	105	4,918	3,070	243	1,340	4,412	2,315	31	486	5,078	227,428,910,888.50
Network_09*-195	125	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	229,616,627,857.31
Network_09*-195	131	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	227,638,879,111.57
Network_09*-195	134	4,918	3,070	243	1,340	4,412	2,315	31	486	5,075	216,262,531,541.78
Network_09*-195	149	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	224,453,949,400.50
Network_09*-195	165	4,918	3,070	243	1,340	4,412	2,315	31	486	5,075	217,754,650,065.05
Network_09*-195	167	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	236,802,656,391.73
Network_09*-195	175	4,918	3,070	243	1,340	4,412	2,315	31	486	5,072	214,970,773,651.74
Network_09*-195	177	4,918	3,070	243	1,340	4,412	2,315	31	486	5,072	214,689,045,265.67
Network_09*-195	185	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	239,133,518,684.86
Network_09*-195	187	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	235,484,031,962.05
Network_09*-195	188	4,918	3,070	243	1,340	4,412	2,315	31	486	5,080	233,519,809,294.31

Network_12*-050	2	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,623,438,468.97
Network_12*-050	4	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,623,560,052.03
Network_12*-050	5	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,623,509,776.56
Network_12*-050	6	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,623,576,122.27
Network_12*-050	16	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,570,242,396.40
Network_12*-050	17	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,570,083,810.33
Network_12*-050	20	8,718	5,819	0	365	9,928	4,897	1	107	5,001	48,570,119,065.82
Network_12*-050	21	8,754	5,833	0	365	10,090	4,986	1	107	5,303	48,629,240,611.16
Network_12*-050	27	8,754	5,833	0	365	10,090	4,986	1	107	5,303	48,629,205,646.81
Network_12*-050	29	8,754	5,833	0	365	10,090	4,986	1	107	5,303	48,629,370,012.90
Network_12*-050	32	9,591	6,659	0	365	10,927	4,988	1	122	5,303	49,689,165,871.79
Network_12*-050	33	9,591	6,659	0	365	10,927	4,988	1	122	5,303	49,689,207,739.53
Network_12*-050	37	9,591	6,659	0	365	10,927	4,988	1	122	5,303	49,689,140,099.80
Network_12*-050	39	9,591	6,659	0	365	10,927	4,988	1	122	5,303	49,689,311,987.46
Network_12*-050	40	9,591	6,659	0	365	10,927	4,988	1	122	5,303	49,689,174,948.54
Network_12*-050	42	9,591	6,653	0	365	10,927	4,988	1	122	5,303	47,855,368,427.21
Network_12*-050	45	9,591	6,653	0	365	10,927	4,988	1	122	5,303	47,855,449,050.30
Network_12*-050	46	9,591	6,653	0	365	10,927	4,988	1	122	5,303	47,855,507,715.60
Network_12*-050	47	9,591	6,653	0	365	10,927	4,988	1	122	5,303	47,855,343,046.52
Network_12*-050	49	9,591	6,653	0	365	10,927	4,988	1	122	5,303	47,855,508,786.27

Network_13*-103	5	10,000	3,984	64	2,089	10,819	2,374	6	500	8,911	133,350,013,458.95
Network_13*-103	15	10,000	3,984	64	2,089	10,819	2,374	6	500	9,005	142,928,043,471.92
Network_13*-103	25	10,000	3,984	64	2,089	10,819	2,374	6	500	8,895	131,572,422,279.65
Network_13*-103	28	10,000	3,984	64	2,089	10,819	2,374	6	500	8,910	133,316,696,813.78
Network_13*-103	43	10,000	3,984	64	2,089	10,819	2,374	6	500	8,893	131,614,081,154.02
Network_13*-103	45	10,000	3,984	64	2,089	10,819	2,374	6	500	8,908	132,940,892,455.09
Network_13*-103	46	10,000	3,984	64	2,089	10,819	2,374	6	500	8,922	134,315,911,797.37
Network_13*-103	47	10,000	3,984	64	2,089	10,819	2,374	6	500	8,942	136,373,317,143.83
Network_13*-103	51	10,000	3,984	64	2,089	10,819	2,374	6	500	8,975	140,361,244,173.07
Network_13*-103	52	10,000	3,984	64	2,089	10,819	2,374	6	500	8,984	140,929,468,209.46
Network_13*-103	55	10,000	3,984	64	2,089	10,819	2,374	6	500	9,677	213,672,263,675.98
Network_13*-103	63	10,000	3,984	64	2,089	10,819	2,374	6	500	9,587	170,664,411,261.85
Network_13*-103	68	10,000	3,984	64	2,089	10,819	2,374	6	500	9,671	208,339,321,493.28
Network_13*-103	72	10,000	3,984	64	2,089	10,819	2,374	6	500	9,636	187,091,589,446.25
Network_13*-103	75	10,000	3,984	64	2,089	10,819	2,374	6	500	9,605	174,847,703,690.90
Network_13*-103	81	10,000	3,984	64	2,089	10,819	2,374	6	500	9,618	181,134,786,396.74
Network_13*-103	83	10,000	3,984	64	2,089	10,819	2,374	6	500	9,677	213,163,124,463.02
Network_13*-103	84	10,000	3,984	64	2,089	10,819	2,374	6	500	9,677	211,942,059,003.98
Network_13*-103	85	10,000	3,984	64	2,089	10,819	2,374	6	500	9,656	197,033,227,025.88
Network_13*-103	86	10,000	3,984	64	2,089	10,819	2,374	6	500	9,646	191,411,430,405.13

Network_14*-050	5	10,480	6,871	0	777	12,743	5,186	1	248	8,561	117,147,491,822.22
Network_14*-050	6	10,480	6,871	0	777	12,743	5,186	1	248	8,557	117,147,541,942.89
Network_14*-050	7	10,480	6,871	0	777	12,743	5,186	1	248	8,553	117,147,569,089.48
Network_14*-050	9	10,480	6,871	0	777	12,743	5,186	1	248	8,566	117,147,720,388.44
Network_14*-050	10	10,480	6,871	0	777	12,743	5,186	1	248	8,556	117,147,438,309.69
Network_14*-050	11	10,480	6,871	0	782	12,743	5,186	1	248	8,566	116,101,919,068.82
Network_14*-050	12	10,480	6,871	0	782	12,743	5,186	1	248	8,561	116,101,918,393.14
Network_14*-050	14	10,480	6,871	0	782	12,743	5,186	1	248	8,553	116,102,134,697.89
Network_14*-050	16	10,480	6,871	0	782	12,743	5,186	1	248	8,561	116,102,019,488.36
Network_14*-050	27	10,480	6,858	0	775	12,740	5,186	1	248	8,557	114,045,671,712.37
Network_14*-050	28	10,480	6,858	0	775	12,740	5,186	1	248	8,557	114,045,888,704.30
Network_14*-050	30	10,480	6,858	0	775	12,740	5,186	1	248	8,557	114,045,564,808.86
Network_14*-050	35	10,480	6,849	0	772	12,740	5,186	1	248	8,556	112,274,613,831.83
Network_14*-050	38	10,480	6,849	0	772	12,740	5,186	1	248	8,557	112,274,887,022.55
Network_14*-050	39	10,480	6,849	0	772	12,740	5,186	1	248	8,553	112,274,836,496.79
Network_14*-050	43	10,480	6,850	0	775	12,741	5,186	1	248	8,557	111,202,078,332.41
Network_14*-050	45	10,480	6,850	0	775	12,741	5,186	1	248	8,557	111,202,066,403.68
Network_14*-050	47	10,480	6,850	0	775	12,741	5,186	1	248	8,557	111,202,124,733.57
Network_14*-050	48	10,480	6,850	0	775	12,741	5,186	1	248	8,557	111,202,358,808.75
Network_14*-050	49	10,480	6,850	0	775	12,741	5,186	1	248	8,557	111,202,290,361.67

Network_20*-100	13	19,402	12,928	0	973	22,944	11,754	1	2,451	13,390	176,691,475,307.78
Network_20*-100	15	19,402	12,928	0	973	22,944	11,754	1	2,451	13,390	176,691,582,648.82
Network_20*-100	16	19,402	12,928	0	973	22,944	11,754	1	2,451	13,390	176,691,705,622.25
Network_20*-100	21	19,402	12,906	0	972	22,948	11,754	1	2,451	13,392	173,193,227,288.47
Network_20*-100	25	19,402	12,906	0	972	22,948	11,754	1	2,451	13,392	173,193,383,610.58
Network_20*-100	32	19,402	12,906	0	971	22,948	11,754	1	2,451	13,391	172,479,978,725.18
Network_20*-100	42	19,402	12,905	0	971	22,950	11,754	1	2,451	13,392	174,199,574,656.49
Network_20*-100	45	19,402	12,905	0	971	22,950	11,754	1	2,451	13,392	174,199,740,431.99
Network_20*-100	51	19,399	12,904	0	973	22,949	11,746	1	2,452	13,391	173,507,474,927.54
Network_20*-100	55	19,399	12,904	0	973	22,949	11,746	1	2,452	13,391	173,507,628,474.86
Network_20*-100	57	19,399	12,904	0	973	22,949	11,746	1	2,452	13,391	173,507,533,892.50
Network_20*-100	60	19,399	12,904	0	973	22,949	11,746	1	2,452	13,391	173,507,468,404.86
Network_20*-100	65	18,916	12,467	0	927	22,062	11,446	1	2,444	13,238	157,752,588,933.87
Network_20*-100	69	18,916	12,467	0	927	22,062	11,446	1	2,444	13,238	157,752,768,208.58
Network_20*-100	82	18,889	12,452	0	921	22,011	11,424	1	2,437	13,167	154,756,363,374.94
Network_20*-100	85	18,889	12,452	0	921	22,011	11,424	1	2,437	13,167	154,756,530,899.01
Network_20*-100	89	18,889	12,452	0	921	22,011	11,424	1	2,437	13,167	154,756,703,713.65
Network_20*-100	91	18,877	12,445	0	921	21,998	11,416	1	2,432	13,157	154,479,562,736.74
Network_20*-100	95	18,877	12,445	0	921	21,998	11,416	1	2,432	13,157	154,479,721,343.17
Network_20*-100	96	18,877	12,445	0	921	21,998	11,416	1	2,432	13,157	154,479,839,136.33

Network_25*-060	3	24,465	15,810	18,717	1,589	27,463	10,346	1	633	3,700	210,832,453,267.76
Network_25*-060	9	24,465	15,810	18,717	1,589	27,463	10,346	1	633	3,700	210,832,914,835.82
Network_25*-060	10	24,465	15,810	18,717	1,589	27,463	10,346	1	633	3,700	210,832,318,261.80
Network_25*-060	11	24,464	15,810	18,719	1,587	27,464	10,345	1	633	3,699	209,273,459,035.76
Network_25*-060	15	24,464	15,810	18,719	1,587	27,464	10,345	1	633	3,699	209,273,654,336.36
Network_25*-060	17	24,464	15,810	18,719	1,587	27,464	10,345	1	633	3,699	209,273,486,502.36
Network_25*-060	23	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,651,975,969.44
Network_25*-060	25	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,652,034,328.20
Network_25*-060	27	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,651,878,596.92
Network_25*-060	37	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	210,428,494,948.67
Network_25*-060	39	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	210,429,055,683.43
Network_25*-060	42	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	211,164,590,453.20
Network_25*-060	43	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	211,164,726,524.52
Network_25*-060	44	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	211,164,977,877.90
Network_25*-060	45	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	211,164,783,964.73
Network_25*-060	50	24,464	15,809	18,735	1,591	27,472	10,344	1	605	3,703	211,164,578,113.02
Network_25*-060	54	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,949,456,436.88
Network_25*-060	55	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,949,151,960.16
Network_25*-060	56	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,949,306,845.44
Network_25*-060	59	24,464	15,811	18,709	1,588	27,463	10,345	1	634	3,700	208,950,057,706.63

Network_30*-048	2	30,000	10,648	95	3,526	32,020	3,373	16	1,138	21,954	251,334,329,734.46
Network_30*-048	5	30,000	10,648	98	3,526	32,020	3,373	16	1,138	21,960	254,539,900,980.12
Network_30*-048	9	30,000	10,648	95	3,526	32,020	3,373	16	1,138	21,951	250,010,813,369.36
Network_30*-048	10	30,000	10,648	85	3,526	32,020	3,373	16	1,139	21,933	244,876,756,574.01
Network_30*-048	12	30,000	10,648	100	3,526	32,020	3,373	16	1,138	21,960	254,615,896,194.45
Network_30*-048	13	30,000	10,648	95	3,526	32,020	3,373	16	1,138	21,956	252,655,869,856.78
Network_30*-048	14	30,000	10,648	99	3,526	32,020	3,373	16	1,138	21,960	254,641,743,556.30
Network_30*-048	15	30,000	10,648	122	3,526	32,020	3,373	16	1,136	10,810	254,267,969,966.40
Network_30*-048	19	30,000	10,648	119	3,526	32,020	3,373	16	1,139	21,960	254,871,437,694.20
Network_30*-048	20	30,000	10,648	119	3,526	32,020	3,373	16	1,139	21,960	254,872,078,439.22
Network_30*-048	24	30,000	10,648	130	3,526	32,020	3,373	16	1,138	10,810	254,180,642,166.17
Network_30*-048	25	30,000	10,648	127	3,526	32,020	3,373	16	1,138	10,810	254,132,580,944.89
Network_30*-048	26	30,000	10,648	135	3,526	32,020	3,373	16	1,138	10,810	254,642,696,775.99
Network_30*-048	32	30,000	10,648	124	3,526	32,020	3,373	16	1,138	10,810	254,215,838,435.96
Network_30*-048	34	30,000	10,648	128	3,526	32,020	3,373	16	1,138	10,810	254,289,902,398.99
Network_30*-048	35	30,000	10,648	124	3,526	32,020	3,373	16	1,138	10,810	254,316,968,208.86
Network_30*-048	36	30,000	10,648	136	3,526	32,020	3,373	16	1,138	10,810	254,514,202,599.64
Network_30*-048	39	30,000	10,648	132	3,526	32,020	3,373	16	1,138	10,810	254,394,648,993.33
Network_30*-048	41	30,000	10,648	124	3,526	32,020	3,373	16	1,138	10,810	254,671,485,029.51
Network_30*-048	45	30,000	10,648	130	3,526	32,020	3,373	16	1,138	10,810	254,808,802,723.72

C1_Trial_3

Download Trial3.zip (47.9 MB)

Initial Release: September 27, 2019

This Trial 3 dataset contains two sets (Real-Time and Offline) of 30 scenarios, 5 for each of 6 networks.

Network Model Name	Scenario Number	Buses	Contingencies
Network_09R-064	21	4,918	5,069
Network_09R-064	6	4,918	5,074
Network_09R-064	54	4,918	5,052
Network_09R-064	3	4,918	5,074
Network_09R-064	61	4,918	5,055

Network_11R-056-2	22	8,688	11,629
Network_11R-056-2	54	8,466	11,157
Network_11R-056-2	3	8,733	11,864
Network_11R-056-2	45	8,686	11,627
Network_11R-056-2	34	8,688	11,620

Network_13R-088	1	10,000	6,634
Network_13R-088	16	10,000	6,649
Network_13R-088	62	10,000	6,603
Network_13R-088	47	10,000	6,619
Network_13R-015	11	10,000	9,004

Network_15R-030	11	11,615	8,707
Network_15R-010	4	11,612	8,747
Network_15R-030	16	11,615	8,707
Network_15R-030	30	11,615	8,653
Network_15R-030	19	11,615	8,707

Network_20R-100	35	19,402	13,391
Network_20R-100	50	19,402	13,392
Network_20R-100	75	18,889	13,167
Network_20R-100	56	19,399	13,391
Network_20R-100	97	18,877	13,157

Network_30R-025	17	30,000	10,810
Network_30R-044	24	30,000	10,810
Network_30R-044	36	30,000	10,810
Network_30R-044	10	30,000	10,810
Network_30R-025	25	30,000	10,810

C1_Trial_2_A

Download T2-10x14.zip (121.92 MB)

Initial Release: August 20, 2019

This Trial 2 dataset contains two sets (Real-Time and Offline) of 140 scenarios, 10 for each of 14 networks.

C1_T1-39S

Download T1-39S.zip (15.33 MB)

Initial Trial 1 Real-Time Release: May 21, 2019; Initial Trial 1 Offline Release: June 6, 2019

We recommend running check_data.py (see Evaluation Source Code) on these datasets to identify problems.

This Trial 1 dataset contains two sets (Real-Time and Offline) of 39 scenarios, a subset of the 718 scenarios in the full Trial Event 1 dataset. This set was chosen by taking 3 scenarios (easier, medium, harder) from each of the 13 network models contained in Trial Event 1 dataset. (Real-time and Offline)

Here is an overview of the entire Trial 1 dataset:

Network Model	Buses	Generators	Loads	Branches	Minimum Contingencies	Maximum Contingencies	Transformers	Areas	Fixed Shunts	Switched Shunts	Scenarios
1	500	90	200	468	349	422	131	1	0	17	40
2	500	224	281	540	784	786	193	1	5	39	60
3	793	210	568	769	86	97	143	1	49	50	50
5	2000	544	1125	2359	3139	3189	847	1	0	153	18
6	2000	384	1010	2743	2594	2618	896	3	32	141	50
7	2312	617	1529	2156	942	1014	857	18	121	201	122
70	2312	444	1529	2156	1008	1015	857	18	121	201	8
8	3013	865	1793	2836	1957	1968	1290	20	129	405	70
81	3288	379	4236	3421	4563	4650	1455	1	0	23	50
84	4601	408	3501	5135	7075	7094	2180	1	0	17	100
9	4918	1340	3070	4412	5058	5085	2315	31	246	486	70
12	9591	365	6659	10927	4377	4377	4988	1	0	122	30
13	10000	2089	3982	10819	9519	9622	2374	6	99	434	50

										Total	718

The names of the Network Models available in this dataset are Network_01?-3, Network_02?-3, Network_03?-3, Network_05?-3, Network_06?-3, Network_07?-3, Network_70?-3, Network_08?-3, Network_81?-3, Network_84?-3, Network_09?-3, Network_12?-3, and Network_13?-3, where the question mark symbol (?) can be either R for real-time (used with Division 1 or 3) or O for offline (used with Division 2 or 4). The "-3" indicates the Network Model has 3 scenarios. One of these names must be used in selecting the Network Model parameter in submission.conf when making a submission with this dataset.

C2_Final

Download (68.4 MB) the 16 synthetic networks composed of 84 scenarios used in Challenge 2 Final Event. The 6 industry datasets, composed of 36 scenarios, will not be made publicly available.

The full Challenge 2 Final Event dataset consists of 22 networks and 120 scenarios.

Model	Scenario	MSpp	Type	Buses	Loads	Generators	Lines	Transformers	Fixed Shunts	Switched Shunts	Generator Contingencies	Branch Contingencies
C2FEN00403	8	931,329	Industry	403	384	139	438	112	9	0	138	276
C2FEN00403	301	762,110	Industry	403	384	139	438	112	9	0	138	276
C2FEN00403	307	782,630	Industry	403	384	139	438	112	9	0	138	276
C2FEN00403	315	794,794	Industry	403	384	139	438	112	9	0	138	276
C2FEN00403	320	825,010	Industry	403	384	139	438	112	9	0	138	276
C2FEN00617	5	834,872	Synthetic	617	404	94	723	130	0	50	51	54
C2FEN00617	17	664,840	Synthetic	617	405	94	723	130	0	50	18	85
C2FEN00617	24	1,016,926	Synthetic	617	404	94	723	130	0	50	24	80
C2FEN00617	62	970,209	Synthetic	617	404	94	723	130	0	50	18	85
C2FEN00617	73	752,941	Synthetic	617	405	94	723	130	0	50	23	84
C2FEN02020	25	3,991,893	Synthetic	2020	1392	194	2318	538	0	98	42	250
C2FEN02020	121	6,231,581	Synthetic	2020	1392	194	2318	538	0	98	80	220
C2FEN02020	134	4,738,473	Synthetic	2020	1392	194	2318	538	0	98	66	234
C2FEN02020	260	5,855,728	Synthetic	2020	1392	194	2318	538	0	98	69	231
C2FEN02020	262	5,683,457	Synthetic	2020	1392	194	2318	538	0	98	80	220
C2FEN02312	3	5,470,569	Synthetic	2312	1435	479	2188	857	121	201	56	439
C2FEN02312	18	4,933,138	Synthetic	2312	1435	479	2187	857	121	201	52	439
C2FEN02312	21	4,517,098	Synthetic	2312	1435	479	2188	857	121	201	53	439
C2FEN02312	40	7,308,063	Synthetic	2312	1435	479	2193	857	121	201	70	439
C2FEN02312	44	5,979,268	Synthetic	2312	1435	479	2192	857	121	201	64	439
C2FEN03288	9	16,534,983	Synthetic	3288	3870	707	3577	1455	0	22	173	2052
C2FEN03288	29	9,198,385	Synthetic	3288	3871	707	3531	1447	0	22	129	2197
C2FEN03288	35	9,374,063	Synthetic	3288	3871	707	3536	1447	0	22	129	2197
C2FEN03288	41	10,061,767	Synthetic	3288	3872	706	3541	1447	0	22	128	2197
C2FEN03288	43	8,954,498	Synthetic	3288	3871	707	3553	1447	0	22	128	2197
C2FEN03411	205	15,622,772	Industry	3411	2959	969	3628	871	56	0	968	2220
C2FEN03411	305	13,882,054	Industry	3411	2959	969	3628	871	56	0	968	2220
C2FEN03411	309	14,267,049	Industry	3411	2959	969	3628	871	56	0	968	2220
C2FEN03411	311	14,592,579	Industry	3411	2959	969	3628	871	56	0	968	2220
C2FEN03411	314	14,573,501	Industry	3411	2959	969	3628	871	56	0	968	2220
C2FEN03593	1	7,061,666	Industry	3593	1355	602	2160	2004	0	370	79	421
C2FEN03593	2	6,647,611	Industry	3593	1355	602	2160	2004	0	370	79	421
C2FEN03593	7	6,964,681	Industry	3593	1355	602	2160	2004	0	370	79	421
C2FEN03593	9	6,820,275	Industry	3593	1355	602	2160	2004	0	370	80	420
C2FEN03593	10	7,648,611	Industry	3593	1355	602	2160	2004	0	370	80	420
C2FEN03593	16	7,024,493	Industry	3593	1355	602	2160	2004	0	370	79	421
C2FEN03593	20	7,206,276	Industry	3593	1355	602	2160	2004	0	370	79	421
C2FEN03970	22	53,845	Synthetic	3970	2744	391	4563	2138	0	13	196	1054
C2FEN03970	23	93,521	Synthetic	3970	2744	391	4572	2138	0	13	196	1054
C2FEN04200	9	4,337,640	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	10	4,594,847	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	14	4,318,340	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	55	5,364,933	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	56	5,654,390	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	57	5,718,338	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04200	60	5,289,093	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2FEN04601	105	3,401,780	Synthetic	4601	3369	408	5204	2180	0	17	204	3338
C2FEN04601	122	896,988	Synthetic	4601	3369	410	5215	2180	0	17	200	3338
C2FEN04601	127	893,679	Synthetic	4601	3369	410	5212	2180	0	17	200	3338
C2FEN06100	9	2,518,348	Synthetic	6049	3368	406	4920	3086	0	224	3	157
C2FEN06100	13	1,797,970	Synthetic	6049	3368	406	4920	3086	0	224	3	157
C2FEN06100	21	2,513,182	Synthetic	6049	3368	406	4920	3086	0	224	3	157
C2FEN06100	26	2,936,876	Synthetic	6103	3368	406	4980	3086	0	224	3	330
C2FEN06100	49	2,205,440	Synthetic	6179	3368	406	5050	3086	0	225	3	328
C2FEN06705	202	16,954,811	Industry	6705	5696	2042	7384	1578	77	0	2024	4555
C2FEN06705	304	14,086,925	Industry	6705	5696	2042	7384	1578	77	0	2024	4555
C2FEN06705	307	14,446,247	Industry	6705	5696	2042	7384	1578	77	0	2024	4555
C2FEN06705	308	14,434,436	Industry	6705	5696	2042	7384	1578	77	0	2024	4555
C2FEN06705	320	15,150,737	Industry	6705	5696	2042	7384	1578	77	0	2024	4555
C2FEN07000	10	6,947,756	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	11	9,180,035	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	13	9,335,143	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	16	9,353,303	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	22	7,039,088	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	23	9,315,403	Synthetic	6889	4625	609	4248	3619	1	211	0	390
C2FEN07000	41	9,167,052	Synthetic	6889	4625	609	4251	3619	1	211	0	390
C2FEN08300	3	21,022,001	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	12	10,129,481	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	13	10,298,867	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	22	12,598,812	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	43	10,447,931	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	52	12,362,242	Synthetic	8316	4457	813	7723	4249	6	1173	41	566
C2FEN08300	166	12,553,239	Synthetic	8316	4460	813	7728	4249	6	1194	37	566
C2FEN08718	2	204,294	Synthetic	8718	5816	368	9991	4897	0	107	183	2318
C2FEN08718	6	142,945	Synthetic	8718	5816	368	9997	4897	0	107	183	2318
C2FEN08718	10	270,592	Synthetic	8718	5816	368	10007	4897	0	107	183	2318
C2FEN08718	11	381,832	Synthetic	8718	5816	368	9998	4897	0	107	183	2318
C2FEN08718	20	463,466	Synthetic	8718	5816	368	10003	4897	0	107	183	2318
C2FEN10480	4	372,127	Synthetic	10480	6871	777	12895	5816	0	248	389	3892
C2FEN10480	7	344,485	Synthetic	10480	6871	777	12889	5816	0	248	389	3892
C2FEN10480	8	446,398	Synthetic	10480	6871	777	12898	5816	0	248	389	3892
C2FEN10480	9	180,065	Synthetic	10480	6871	777	12907	5816	0	248	389	3892
C2FEN10480	17	368,421	Synthetic	10480	6871	782	12922	5816	0	248	391	3892
C2FEN12209	2	4,683,835	Synthetic	12209	6986	2009	13216	2184	0	724	2009	499
C2FEN12209	42	4,542,324	Synthetic	12209	6990	2009	13216	2184	0	724	0	1804
C2FEN12209	88	5,094,468	Synthetic	12209	6989	2009	13216	2184	0	724	0	1708
C2FEN12209	96	5,056,754	Synthetic	12209	6988	2009	13216	2184	0	724	2007	625
C2FEN12209	97	5,149,579	Synthetic	12209	6987	2009	13216	2184	0	724	2009	428
C2FEN16955	1	16,092,498	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	2	15,876,228	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	3	15,129,689	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	4	14,712,065	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	6	23,349,476	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	7	22,653,213	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN16955	8	22,277,308	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2FEN17700	19	8,477,450	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	20	8,577,388	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	21	8,460,435	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	89	8,758,945	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	94	8,736,097	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	106	8,664,844	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	107	8,459,550	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN17700	115	10,008,362	Synthetic	16789	7846	1209	14724	8654	7	1723	15	223
C2FEN19402	6	152,989	Synthetic	19402	12744	968	23145	11754	0	2451	484	6209
C2FEN19402	10	275,971	Synthetic	19402	12744	968	23127	11754	0	2451	484	6209
C2FEN19402	69	712,739	Synthetic	18916	12286	927	22239	11446	0	2444	464	6156
C2FEN19402	77	155,651	Synthetic	18889	12273	921	22192	11424	0	2437	461	6123
C2FEN19402	95	203,325	Synthetic	18877	12267	921	22165	11416	0	2432	461	6118
C2FEN22700	1	64,572,122	Industry	22723	8369	4062	17859	10041	2	1558	100	900
C2FEN22700	2	67,705,837	Industry	22720	8319	4203	17859	10110	2	1633	100	900
C2FEN22700	3	46,067,275	Industry	22722	8340	4062	17859	10040	1	1486	100	900
C2FEN22700	4	55,828,011	Industry	22723	8369	4062	17859	10041	2	1558	100	900
C2FEN22700	5	62,970,971	Industry	22720	8319	4203	17859	10110	1	1632	100	900
C2FEN22700	6	65,561,149	Industry	22723	8369	4062	17859	10041	2	1558	100	900
C2FEN22700	7	60,326,886	Industry	22723	8369	4062	17859	10041	2	1558	99	894
C2FEN31777	11	126,234,555	Synthetic	31777	16578	4663	34715	6858	0	1995	200	1800
C2FEN31777	12	58,579,598	Synthetic	31777	16578	4663	34715	6858	0	1995	200	1800
C2FEN31777	15	120,042,011	Synthetic	31777	16578	4663	34715	6858	0	1995	200	1800
C2FEN31777	19	104,009,338	Synthetic	31777	16578	4663	34715	6858	0	1995	200	1800
C2FEN31777	51	110,829,998	Synthetic	31777	16578	4663	34715	6858	0	1995	200	1800

The following synthetic datasets were developed for Challenge 2, but NOT USED.

They may be of interest for training purposes.

C2FEN08300_unused.zip (130 MB) Contains 171 scenarios.

C2FEN0xxxx_unused.zip (104 MB) Includes C2FEN00617 (74 scenarios), C2FEN02020 (159 scenarios), C2FEN02312 (10 scenarios), C2FEN03288 (27 scenarios), and C2FEN04200 (170 scenarios).

C2FEN12209_unused.zip (111 MB) Contains 91 scenarios.

C2FEN17700_unused.zip (146 MB) Contains 109 scenarios.

C2FeN1xxxx_unused.zip (256 MB) Includes C2FEN10480 (24 scenarios), C2FEN12209 (93 scenarios), and C2FEN19402 (63 scenarios).

C2FEN31777_unused.zip (101 MB) Contains 44 scenarios.

C2_Trial_3

Download (43MB) the 11 synthetic networks composed of 54 scenarios used in Challenge 2 Trial Event 3 was released July 16, 2021. The 3 industry datasets, composed of 12 scenarios, will not be made publicly available.

Challenge 2 Trial 3 had 14 network models with a total of 66 scenarios (54 synthetic and 12 industry)

Model	Scenario	MSpp	Type	Buses	Loads	Generators	Lines	Transformers	Fixed Shunts	Switched Shunts	Generator Contingencies	Branch Contingencies
C2T3N02020	6	1,694,150	Synthetic	2020	1392	194	2318	538	0	98	155	1833
C2T3N02020	9	1,905,789	Synthetic	2020	1392	194	2318	538	0	98	155	1833
C2T3N02020	13	2,464,576	Synthetic	2020	1392	194	2318	538	0	98	155	1833
C2T3N02020	207	2,268,094	Synthetic	2020	1392	194	2318	538	0	98	155	1833
C2T3N02020	222	1,955,735	Synthetic	2020	1392	194	2318	538	0	98	155	1833
C2T3N03022	122	114,467,086	Synthetic	3022	1625	730	2959	1297	129	399	118	857
C2T3N03022	162	66,986,776	Synthetic	3022	1625	730	2964	1297	129	399	91	857
C2T3N03022	292	122,680,195	Synthetic	3022	1625	730	2965	1297	129	399	126	857
C2T3N03022	362	86,258,974	Synthetic	3022	1625	730	2958	1297	129	399	99	857
C2T3N03022	812	93,842,332	Synthetic	3022	1625	730	2854	1297	129	399	109	857
C2T3N03593	2	6,647,611	Industry	3593	1355	602	2160	2004	0	370	79	421
C2T3N03593	5	7,070,007	Industry	3593	1355	602	2160	2004	0	370	79	421
C2T3N03593	9	6,820,275	Industry	3593	1355	602	2160	2004	0	370	80	420
C2T3N03593	10	7,648,611	Industry	3593	1355	602	2160	2004	0	370	80	420
C2T3N03593	22	7,206,288	Industry	3593	1355	602	2160	2004	0	370	79	421
C2T3N04200	9	1,954,615	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2T3N04200	16	1,382,473	Synthetic	4224	1673	399	2605	2325	0	436	12	443
C2T3N04200	28	197,167	Synthetic	4224	1673	399	2605	2325	0	436	13	448
C2T3N04200	59	509,943	Synthetic	4258	1673	399	2639	2325	0	436	12	447
C2T3N04200	83	598,308	Synthetic	4258	1674	399	2639	2325	0	436	12	438
C2T3N04917	72	143,925,579	Synthetic	4917	2821	1495	4646	2314	243	482	229	2309
C2T3N04917	112	207,390,092	Synthetic	4917	2821	1495	4675	2314	243	482	232	2309
C2T3N04917	132	159,038,251	Synthetic	4917	2821	1495	4649	2314	243	482	232	2309
C2T3N04917	192	136,392,228	Synthetic	4917	2821	1495	4660	2314	243	482	229	2309
C2T3N04917	602	173,741,598	Synthetic	4917	2821	1495	4415	2314	243	482	231	2309
C2T3N06100	14	787,115	Synthetic	6049	3368	406	4923	3086	0	224	2	371
C2T3N06100	39	-32,449	Synthetic	6179	3368	406	5050	3086	0	225	3	328
C2T3N06100	101	472,148	Synthetic	6103	3368	406	4980	3086	0	224	3	330
C2T3N06100	112	719,898	Synthetic	6476	3371	406	5337	3086	0	231	3	2464
C2T3N06100	115	968,240	Synthetic	6476	3371	406	5337	3086	0	231	3	2464
C2T3N07000	11	383,856	Synthetic	6867	4618	609	4199	3618	0	161	11	371
C2T3N07000	20	628,475	Synthetic	6888	4618	609	4236	3619	1	211	11	382
C2T3N07000	56	1,005,590	Synthetic	6889	4625	609	4246	3619	1	211	11	380
C2T3N07000	60	776,437	Synthetic	6889	4625	609	4246	3619	1	211	11	382
C2T3N07000	65	-20,974	Synthetic	7117	4625	609	4456	3620	0	206	23	378
C2T3N08300	27	2,655,913	Synthetic	8316	4456	813	7707	4249	7	1171	40	585
C2T3N08300	32	2,960,989	Synthetic	8316	4456	813	7707	4249	7	1171	40	585
C2T3N08300	34	-33,145	Synthetic	8316	4456	813	7707	4249	7	1171	40	585
C2T3N08300	52	3,080,056	Synthetic	8318	4458	813	7710	4238	7	1171	40	584
C2T3N08300	91	3,709,973	Synthetic	8318	4459	813	7711	4236	7	1171	40	583
C2T3N10000	502	7,023,401	Synthetic	10000	3984	2089	10919	2374	66	500	655	3801
C2T3N10000	510	8,354,098	Synthetic	10000	3984	2089	10913	2374	83	500	702	3801
C2T3N10000	602	15,319,149	Synthetic	10000	3982	2089	10971	2374	99	433	1010	3801
C2T3N10000	713	8,909,399	Synthetic	10000	3984	2089	10958	2374	74	483	1013	2293
C2T3N10000	723	9,002,527	Synthetic	10000	3984	2089	10950	2374	77	483	1021	2293
C2T3N12209	6	4,210,669	Synthetic	12209	6990	2009	13216	2184	0	723	0	1023
C2T3N12209	14	4,596,546	Synthetic	12209	6987	2009	13216	2184	0	724	1	1013
C2T3N12209	27	4,808,542	Synthetic	12209	6988	2009	13216	2184	0	724	0	1586
C2T3N12209	32	5,189,855	Synthetic	12209	6991	2009	13216	2184	0	724	0	1589
C2T3N12209	63	4,554,434	Synthetic	12209	6989	2009	13216	2184	0	724	0	1762
C2T3N16955	5	11,942,335	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2T3N16955	6	11,719,434	Industry	16955	9419	1868	16071	4675	72	1558	0	3803
C2T3N22700	2	67,705,837	Industry	22720	8319	4203	17859	10110	2	1633	100	900
C2T3N22700	3	46,067,275	Industry	22722	8340	4062	17859	10040	1	1486	100	900
C2T3N22700	4	55,828,011	Industry	22723	8369	4062	17859	10041	2	1558	100	900
C2T3N22700	7	60,326,886	Industry	22723	8369	4062	17859	10041	2	1558	99	894
C2T3N22700	8	44,912,670	Industry	22722	8339	4062	17859	10040	1	1486	100	900
C2T3N30000	631	9,548,670	Synthetic	30000	10648	3526	32211	3373	136	1138	1763	3642
C2T3N30000	635	7,052,459	Synthetic	30000	10648	3526	32235	3373	115	1138	1763	3642
C2T3N30000	714	6,195,537	Synthetic	30000	10648	3526	32222	3373	99	1138	1763	9217
C2T3N30000	724	7,533,649	Synthetic	30000	10648	3526	32233	3373	130	1138	1763	3642
C2T3N30000	740	8,008,640	Synthetic	30000	10648	3526	32208	3373	131	1138	1763	3642
C2T3N31777	3	124,030,158	Synthetic	31777	16572	4663	34713	6858	0	1996	121	1162
C2T3N31777	8	170,308,897	Synthetic	31777	16572	4663	34713	6858	0	1996	128	1102
C2T3N31777	10	169,149,348	Synthetic	31777	16572	4663	34713	6858	0	1996	101	1133
C2T3N31777	12	168,723,423	Synthetic	31777	16572	4663	34713	6858	0	1996	119	1165

Note that 3 scenarios (highlighted above) have negative values for MSpp. This was allowed because the base contribution from the prior operating point was positive and only the contingency part was negative.

Follow the link for C2T3N06100/115 to see a diagram of the network in Dan Bienstock's talk at the 2022 FERC Software Conference

C2_Trial_2

Download (47 MB) the 13 synthetic networks composed of 54 scenarios used in Challenge 2 Trial Event 2 was released May 20, 2021. The 4 industry datasets, composed of 14 scenarios, will not be made publicly available.

Model	Scenario	MSpp	Type	Buses	Loads	Fixed Shunts	Generators	Nontransformer Branches	Transformer Branches	Impedance Tables	Switched Shunts	Contingencies	Branches	Generator Contingencies	Branch Contingencies
C2T2N00617	185	1,004,392	Synthetic	617	405	0	94	723	130	53	50	108	853	15	93
C2T2N00617	203	1,342,314	Synthetic	617	404	0	94	723	130	53	50	102	853	14	88
C2T2N00617	311	1,014,008	Synthetic	617	404	0	94	723	130	53	50	108	853	9	99
C2T2N00617	420	1,116,223	Synthetic	617	405	0	94	723	130	53	50	139	853	0	139
C2T2N00617	464	1,101,306	Synthetic	617	405	0	94	723	130	53	50	104	853	68	36
C2T2N01737	51	212,452,148	Industry	1737	1584	53	397	1846	504	7	0	1565	2350	397	1168
C2T2N01737	151	195,660,751	Industry	1737	1584	53	397	1846	504	7	0	1565	2350	397	1168
C2T2N01737	181	204,293,198	Industry	1737	1584	53	397	1846	504	7	0	1565	2350	397	1168
C2T2N02020	5	1,708,829	Synthetic	2020	1392	0	194	2318	538	53	98	1988	2856	155	1833
C2T2N02020	59	2,207,928	Synthetic	2020	1392	0	194	2318	538	53	98	1988	2856	155	1833
C2T2N02020	85	2,208,707	Synthetic	2020	1392	0	194	2318	538	53	98	1988	2856	155	1833
C2T2N02020	182	3,228,823	Synthetic	2020	1392	0	194	2318	538	53	98	1988	2856	155	1833
C2T2N02020	208	3,317,783	Synthetic	2020	1392	0	194	2318	538	53	98	1988	2856	155	1833
C2T2N03022	261	211,162,297	Synthetic	3022	1793	129	730	2850	1297	0	401	985	4147	128	857
C2T2N03022	361	97,730,419	Synthetic	3022	1793	129	730	2844	1297	0	401	952	4141	95	857
C2T2N03022	641	80,039,206	Synthetic	3022	1793	129	730	2848	1297	0	401	952	4145	95	857
C2T2N03022	781	99,783,440	Synthetic	3022	1793	129	730	2850	1297	0	401	970	4147	113	857
C2T2N03593	21	11,294,527	Industry	3593	1355	0	602	2160	2004	53	370	489	4164
C2T2N04200	1	1,421,859	Synthetic	4224	1673	0	399	2605	2325	46	436	461	4930	13	448
C2T2N04200	12	1,487,467	Synthetic	4224	1673	0	399	2605	2325	46	436	455	4930	12	443
C2T2N04200	35	303,411	Synthetic	4224	1673	0	399	2605	2325	46	436	461	4930	13	448
C2T2N04200	75	733,040	Synthetic	4258	1673	0	399	2639	2325	46	436	459	4964	12	447
C2T2N04200	85	3,745,483	Synthetic	4258	1674	0	399	2639	2325	46	436	450	4964	12	438
C2T2N04917	1	292,337,915	Synthetic	4917	3070	243	1495	4419	2314	0	482	2539	6733	230	2309
C2T2N04917	81	245,371,507	Synthetic	4917	3070	243	1495	4416	2314	0	482	2540	6730	231	2309
C2T2N04917	161	211,002,200	Synthetic	4917	3070	243	1495	4413	2314	0	482	2538	6727	229	2309
C2T2N04917	581	158,443,065	Synthetic	4917	3070	243	1495	4416	2314	0	482	2540	6730	231	2309
C2T2N04917	681	171,193,394	Synthetic	4917	3070	243	1495	4414	2314	0	482	2541	6728	232	2309
C2T2N06100	4	700,409	Synthetic	6049	3368	0	406	4923	3086	46	236	373	8009	2	371
C2T2N06100	21	190,674	Synthetic	6049	3368	0	406	4920	3086	46	236	160	8006	3	157
C2T2N06100	43	42,398	Synthetic	6179	3368	0	406	5050	3086	46	236	331	8136	3	328
C2T2N06100	93	394,874	Synthetic	6049	3368	0	406	4920	3086	46	236	160	8006	3	157
C2T2N06100	107	561,087	Synthetic	6478	3371	0	406	5341	3086	46	244	1763	8427	3	1760
C2T2N06705	1	172,667,314	Industry	6705	5696	77	2042	7384	1578	9	0	6492	8962	2005	4487
C2T2N06705	131	225,215,225	Industry	6705	5696	77	2042	7384	1578	9	0	6492	8962	2005	4487
C2T2N06705	201	241,459,921	Industry	6705	5696	77	2042	7384	1578	9	0	6492	8962	2005	4487
C2T2N06705	281	260,916,980	Industry	6705	5696	77	2042	7384	1578	9	0	6492	8962	2005	4487
C2T2N06705	351	191,161,278	Industry	6705	5696	77	2042	7384	1578	9	0	6492	8962	2005	4487
C2T2N07000	1	378,723	Synthetic	6867	4618	0	609	4199	3618	46	161	382	7817	11	371
C2T2N07000	16	309,295	Synthetic	6867	4618	0	609	4199	3618	46	161	382	7817	11	371
C2T2N07000	31	685,246	Synthetic	6889	4625	1	609	4246	3619	46	211	393	7865	11	382
C2T2N07000	52	779,114	Synthetic	6889	4625	1	609	4246	3619	46	211	393	7865	11	382
C2T2N07000	70	45,498	Synthetic	7117	4625	0	609	4456	3620	46	207	401	8076	23	378
C2T2N08300	1	3,239,041	Synthetic	8237	4456	7	813	7620	4252	46	1165	611	11872	33	578
C2T2N08300	9	50,044,645	Synthetic	8237	4456	7	813	7620	4252	46	1165	611	11872	33	578
C2T2N08300	20	50,003,232	Synthetic	8286	4456	7	813	7673	4252	46	1171	622	11925	40	582
C2T2N08300	37	3,048,258	Synthetic	8317	4458	7	813	7708	4240	46	1171	624	11948	40	584
C2T2N08300	75	49,989,684	Synthetic	8318	4458	7	813	7710	4238	46	1171	624	11948	40	584
C2T2N10000	702	9,284,076	Synthetic	10000	3984	80	2089	10956	2374	0	483	3316	13330	1023	2293
C2T2N10000	841	8,351,159	Synthetic	10000	3984	77	2089	10900	2374	0	500	4474	13274	673	3801
C2T2N12209	26	5,909,640	Synthetic	12209	6988	0	2009	13216	2184	53	724	1694	15400	0	1694
C2T2N12209	36	7,487,358	Synthetic	12209	6990	0	2009	13216	2184	53	724	1485	15400	0	1485
C2T2N12209	111	14,463,085	Synthetic	12209	7610	0	2009	13216	2184	53	724	1100	15400	0	1100
C2T2N12209	152	10,528,027	Synthetic	12209	7610	0	2009	13216	2184	53	724	1100	15400	0	1100
C2T2N12209	195	12,738,104	Synthetic	12209	7610	0	2009	13216	2184	53	724	1100	15400	0	1100
C2T2N17700	1	8,617,584	Synthetic	16789	7840	7	1210	15728	7640	46	1710	1594	23368
C2T2N17700	2	7,413,327	Synthetic	17717	7840	7	1210	16656	7640	46	1710	1903	24296
C2T2N30000	504	5,580,251	Synthetic	30000	10648	130	3526	32217	3373	0	1138	5405	35590	1763	3642
C2T2N30000	606	6,970,657	Synthetic	30000	10648	122	3526	32222	3373	0	1136	5405	35595	1763	3642
C2T2N30000	726	9,042,693	Synthetic	30000	10648	135	3526	32234	3373	0	1138	5405	35607	1763	3642
C2T2N31777	9	5,269,257	Synthetic	31777	16572	0	4663	34713	6858	53	1996	1280	41571	121	1159
C2T2N31777	20	1,180,109	Synthetic	31777	16572	0	4663	34713	6858	53	1996	1036	41571	0	1036
C2T2N31777	29	9,478,806	Synthetic	31777	16572	0	4663	34713	6858	53	1996	1165	41571	109	1056
C2T2N34363	94	4,420,332	Industry	34363	2959	56	969	40850	871	7	0	3192	41721
C2T2N34363	102	635,721	Industry	34363	2959	56	969	40850	871	7	0	3192	41721
C2T2N34363	108	1,866,674	Industry	34363	2959	56	969	40850	871	7	0	3192	41721
C2T2N34363	114	3,253,657	Industry	34363	2959	56	969	40850	871	7	0	3192	41721
C2T2N34363	144	3,574,163	Industry	34363	2959	56	969	40850	871	7	0	3192	41721

C2_Trial_1

Download (36.5 MB) the 11 synthetic networks composed of 63 scenarios used in Challenge 2 Trial Event 1 was released January 22, 2021. The 4 industry datasets, composed of 20 scenarios, will not be made publicly available.

Network model	Scenarios	Type
C2T1N00403	218,219,222,256,300	Industry
C2T1N00500	45,47,52,56,103	Synthetic
C2T1N00617	6,33,36,42,47	Synthetic
C2T1N00768	9,29,44,80,177	Synthetic
C2T1N02020	8,34,3856,70	Synthetic
C2T1N02055	3,8,21,32,34	Synthetic
C2T1N02312	1,142,160,254,278,370,416	Synthetic
C2T1N03411	11,134,140,145,149	Industry
C2T1N04441	1,12,221,224,292	Industry
C2T1N05746	6,11,15,25,29	Synthetic
C2T1N06469	3,7,16,41,42	Synthetic
C2T1N08028	1,2,13,16,26,27,30	Synthetic
C2T1N14204	2,12,13,27,31,31	Synthetic
C2T1N15810	2,13,16,34,41,46,56,59	Synthetic
C2T1N16955	3,4,5,6,8	Industry

C2_Sandbox

Download (3.17 MB) the Version 9 Sandbox (C2S9N*) datasets; 1 model, 4 scenarios posted July 20, 2021. These synthetic datasets reflect a unique data feature for phase shifting transformers that is within the problem formulation but was not well-represented in the synthetic examples in the trial events. It is, however, present in some of the industry scenarios planned for the Final event.

Model	Scenario	MSpp	Type	Buses	Loads	Generators	Lines	Transformers	Fixed Shunts	Switched Shunts	Generator Contingencies	Branch Contingencies
C2S9N02020	250	4,131,867	synthetic	2020	1392	194	2318	538	0	98	54	202
C2S9N02020	255	5,228,247	synthetic	2020	1392	194	2318	538	0	98	80	182
C2S9N02020	260	5,855,728	synthetic	2020	1392	194	2318	538	0	98	69	190
C2S9N02020	270	4,943,650	synthetic	2020	1392	194	2318	538	0	98	67	191

Download (56.5 MB) the Version 7 Sandbox (C2S7N*) datasets; 16 models, 80 scenarios posted March 5, 2021. These synthetic datasets represent the kinds of problems that will be used in Trial 2, with the exception of the industry datasets. A spreadsheet listing the characteristics of each of the 80 scenarios is also available. The differences between Divisions 1 & 3 and between Division 2 & 4 will represent the impact of line switching. None of the Version 7 datasets are exactly the same as the corresponding Version 6 datasets. Be sure to download the latest Evaluation code, described at the bottom of the Evaluation page, to score your own results.

Note on scenarios with negative values of z^inf: Scenarios with a negative z^inf(defined in section D.2 of the Problem Formulation) are possible and generally reflect high penalties imposed on the solution by a poor prior operating point. The GO Competition does not intend to use such scenarios in any Trial or Final Events. There were, however, 3 such scenarios in C2S7N*, specifically, C2S7N12209 scenario 4 (-16,673,022) and scenario 8 (-99,958) and C2S7N14212 scenario 3 (-13,205,325,795). The first two are the result of legitimate, but poor, prior operating points. The later, however, was the result of an error in constructing the data that resulted in a bad power balance. This scenario has been replaced with one with a z^inf value of 7,610,313. The only difference between the new scenario and the old is better values in the raw file for the VM and VA parameters in the Bus Data block and PG and QG parameters in the Generator Data block. The new scenario replaces C2S7N14212 scenario 3 when making Sandbox submissions after March 12, 2021.

Download (665 kB) the Sandbox network model (C2S6N00617) with 10 scenarios. Added February 1, 2021. This new sandbox dataset has gone through more rigorous testing and validation to ensure that the new features included in Challenge 2 will have an impact on the best solutions.

Download (13.1 MB) the Sandbox set of 12 network models and 38 scenarios. Caution: The zip file from 11/20 padded the end C2S6N11152/scenario_001/case.json with many null bytes for unknown reasons. Do not use it.

This version (C2S6N*, posted Nov. 22, 2020) fixes some cost function and transformer tap issues and an error introduced in C2S5N*. It includes a csv file with details about each of the 38 scenarios (references to C2S5 should be C2S6). Fixing the transformer taps changed the number of buses in some network models so the naming is slightly different from the C2S4N* version as are the z^infvalues given in the csv file.

C1 Original Dataset 2

Download Original_Dataset_2-3.zip (9.96 MB)

Last Updated: March 25, 2019 (see Change Log for release notes)
Initial Release: January 8, 2019

We recommend running check_data.py (see Evaluation Source Code) on these datasets to identify problems.

The Original Dataset 2 consists of two parts:

Original_Dataset_Offline_Edition_2 with Network Models
1. Network_01R-020
2. Network_03R-020
3. Network_05R-010
4. Network_07R-020
Original_Dataset_Real-Time_Edition_2 with Network Models
1. Network_01O-020
2. Network_03O-020
3. Network_05O-010
4. Network_07O-020

These two parts are the same except for the base case operating point. This point is represented by 5 variables (bus voltage magnitude in pu,VM; bus voltage angle in degrees, VA; generator real power output, PG; generator reactive power output, QG; and initial switched shunt susceptance, BINT) described in Appendix D.4 of the Formulation. These variables are mapped to the raw file in Appendices C.3 (Bus Data; A2.2), C.6 (Generator Data; A2.5), and C.9 (Switched Shunt Data, A2.8) This information can be used as a starting point for various algorithms. In general we make no assertion of feasibility or optimality for this starting point. We make no assertion of feasibility for the Offline version but the Real-Time version, which is derived from an economical unconstrained solution, should be feasible but not optimal.

The Real-Time version has a runtime limit of 10 minutes and is used for Divisions 1 and 3 scoring.

The Offline version has a runtime limit of 45 minutes and is used for Divisions 2 and 4 scoring.

Each of the two parts consists of 4 separate network models; Network_01*-020, Network_03*-020, Network-05*-010, and Network_07*-020. The last three digits indicate the number of scenario instances associated with each network. The * can be either R for Real-Time or O for Offline. The files in both parts are the same except for the raw files, which contain the starting information variables VM, VA, PG, QG, and BINT.

Associated with each scenario instance are four case files (case.con, case.inl, case.raw, case.rop). Two of the case files change with each scenario instance (case.con and case.raw). These are kept in the scenario_n folders (n is 1 to 10 or 20). Case files that do not change (case.inl and case.rop) are kept in the network folder. The file inputfiles.ini in the network folder summarizes where each type of case file is to be found. Within each Network folder is a readme.txt file with network configuration information (the number of buses, loads, generators, transformers, contingencies, etc.) and an explanation of inputfiles.ini.

These network models are the same as the ones with the same name in the Original Dataset 1, but with different scenario instances. The same will be true of future datasets such as Trial 1, Trial 2, and Final.

C1 Original Dataset 1

Download Original_Dataset_1-5.zip (14.01 MB)

Last Updated: March 22, 2019 (see Change Log for release notes)
Initial Release: October 30, 2018

We recommend running check_data.py (see Evaluation Source Code) on these datasets to identify problems.

The Original Dataset 1 consists of two parts:

Original_Dataset_Offline_Edition_1 with Network Models
1. Network_01R-10
2. Network_03R-10
3. Network_05R-10
4. Network_07R-10
5. Network_10R-10
Original_Dataset_Real-Time_Edition_1 with Network Models
1. Network_01O-10
2. Network_03O-10
3. Network_05O-10
4. Network_07O-10
5. Network_10O-10

The Real-Time version has a runtime limit of 10 minutes and is used for Divisions 1 and 3 scoring.

The Offline version has a runtime limit of 45 minutes and is used for Divisions 2 and 4 scoring.

Each of the two parts consists of 5 separate network models with 10 scenario instances each; Network_01*-10, Network_03*-10, Network-05*-10, Network_07*-10, and Network_10*-10. The last two digits indicate the number of scenario instances associated with each network (ten). The * can be either R for Real-Time or O for Offline. The files in both parts are the same except for the raw files, which contain the starting information variables VM, VA, PG, QG, and BINT. The first scenario from each network model is available as a Real-Time dataset in the Sandbox, along with additional configuration information. Please use the Sandbox version for algorithm development before running all 100 scenarios in this dataset.

Associated with each scenario instance are four case files (case.con, case.inl, case.raw, case.rop). Two of the case files change with each scenario instance (case.con and case.raw; also case.inl for Network_10*-10). These are kept in the scenario_n folders (n is 1 to 10). Case files that do not change (case.inl, except for Network_10-10, and case.rop) are kept in the network folder. The file inputfiles.ini in the network folder summarizes where each type of case file is to be found. Within each network folder is a readme.txt file with network configuration information (the number of buses, loads, generators, transformers, contingencies, etc.) and an explanation of inputfiles.ini.

These network models are the same as the ones with the same name in the Original Dataset 2, but with different scenario instances. The same will be true of future datasets such as Trial 1, Trial 2, and Final.

The use of the term scenario is not to be interpreted as involving time coupling or stochastic variation. These scenarios are separate instances and not time coupled—they are completely independent and need to be solved individually. There is only one case.raw for each scenario instance--no separate base case.