Cited By
The following cite https://gocompetition.gov or dervivative as a reference as of December 5, 2023.
Agarwal, Aayushya, Priya L. Donti, J. Zico Kolter, and Larry Pileggi. "Employing adversarial robustness techniques for large-scale stochastic optimal power flow." Electric Power Systems Research 212 (2022): 108497. https://doi.org/10.1016/j.epsr.2022.108497
Agarwal, Aayushya, Amritanshu Pandey, Naeem Turner Bandele, and Larry Pileggi. "Generalized Smooth Functions for Modeling Steady-State Response of Controls in Transmission and Distribution." Electric Power Systems Research 213 (2022): 108657. https://doi.org/10.1016/j.epsr.2022.108657
Agarwal, Aayushya, Amritanshu Pandey, and Larry Pileggi. "Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge," 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021, pp. 1-5. https://doi.org/10.1109/PESGM46819.2021.9637903
Ahunbay, Mete Şeref, Martin Bichler, and Johannes Knörr. "Pricing Optimal Outcomes in Coupled and Non-Convex Markets: Theory and Applications to Electricity Markets." arXiv preprint arXiv:2209.07386 (2022). https://doi.org/10.48550/arXiv.2209.07386
Ahunbay, Mete Şeref, Martin Bichler, and Johannes Knörr. "Challenges in Designing Electricity Spot Markets." NBER Chapters (2023). https://www.nber.org/system/files/chapters/c14932/c14932.pdf
Aigner, Kevin-Martin, Robert Burlacu, Frauke Liers, and Alexander Martin. "Solving AC optimal power flow with discrete decisions to global optimality." INFORMS Journal on Computing 35, no. 2 (2023): 458-474. https://doi.org/10.1287/ijoc.2023.1270
Anjos, Miguel F. "Semidefinite Optimization Approaches for Reactive Optimal Power Flow Problems." https://www.irt-systemx.fr/wp-content/uploads/2022/10/Anjos-Seminar@Sx.pdf
Aravena, Ignacio, Quentin Lété, Anthony Papavasiliou, and Yves Smeers. "Transmission capacity allocation in zonal electricity markets." Operations Research 69, no. 4 (2021): 1240-1255. https://doi.org/10.1287/opre.2020.2082
Aravena, Ignacio, Daniel K. Molzahn, Shixuan Zhang, Cosmin G. Petra, Frank E. Curtis, Shenyinying Tu, Andreas Wächter, Ermin Wei, Elizabeth Wong, Amin Gholami, Kaizhao Sun, Xu Andy Sun, Stephen T. Elbert, Jesse T. Holzer, Arun Veeramany. "Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition." Operations Research 0(0). Published Online:1 Sep 2023. https://doi.org/10.1287/opre.2022.0315
Arévalo Bonilla, Juan Camilo. "Comparación de flujo óptimo de potencia con métodos heurísticos en sistemas de potencia con alta penetración de energía renovable." diss. 2020. https://repositorio.unal.edu.co/handle/unal/78178
Arrigo, Adriano, Jalal Kazempour, Zacharie De Grève, Jean-François Toubeau, and François Vallée. "Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5156-5169, Nov. 2023. https://doi.org/10.1109/TPWRS.2022.3221348
Avramidis, Iason-Iraklis, Florin Capitanescu, Stavros Karagiannopoulos, and Evangelos Vrettos. "A novel approximation of security-constrained optimal power flow with incorporation of generator frequency and voltage control response." IEEE Transactions on Power Systems 36, no. 3 (2020): 2438-2447. https://doi.org/10.1109/TPWRS.2020.3028427
Avramidis, Iason-Iraklis, Georgios Cheimonidis, and Pavlos Georgilakis. "Ineffective control actions in OPF problems: Identification, suppression and security aspects." Electric Power Systems Research 212 (2022): 108228. https://doi.org/10.1016/j.epsr.2022.108228
Babaeinejadsarookolaee, Sogol, Adam Birchfield, Richard D. Christie, Carleton Coffrin, Christopher DeMarco, Ruisheng Diao, Michael Ferris, Stephane Fliscounakis, Scott Greene, Renke Huang, Cedric Josz, Roman Korab, Bernard Lesieutre, Jean Maeght, Terrence W. K. Mak, Daniel K. Molzahn, Thomas J. Overbye, Patrick Panciatici, Byungkwon Park, Jonathan Snodgrass, Ahmad Tbaileh, Pascal Van Hentenryck, Ray Zimmerman. "The power grid library for benchmarking ac optimal power flow algorithms." arXiv preprint arXiv:1908.02788 (2019). https://doi.org/10.48550/arXiv.1908.02788 Frequently cited as Competition Data reference instead of citing Competition directly. Cited by 206
Baldick, Ross, Steven Low, Richard O’Neill, Daniel Ralph, and Golbon Zakeri. "Preface to Special Issue on Computational Advances in Short-Term Power System Operations." Operations Research (2023). Published Online: 20 Nov 2023. https://doi.org/10.1287/opre.intro.v71.n6
Bazrafshan, Mohammadhafez, Kyri Baker, and Javad Mohammadi. "Computationally efficient solutions for large-scale security-constrained optimal power flow." arXiv preprint arXiv:2006.00585 (2020). https://doi.org/10.48550/arXiv.2006.00585
Bienstock, Daniel. "15 Uncertainty-Aware Power Systems Operation." Advanced Data Analytics for Power Systems (2021): 363. https://books.google.com/books?hl=en&lr=&id=0b4OEAAAQBAJ&oi=fnd&pg=PA363&dq=%22gocompetition%22&ots=4d8PnHQ4S7&sig=5CkrLPb6hINP0lQOVJemaMp9Vhw#v=onepage&q&f=false
Bichler, Martin, Hans Ulrich Buhl, Johannes Knörr, Felipe Maldonado, Paul Schott, Stefan Waldherr, and Martin Weibelzahl. "Electricity Markets in a Time of Change: A Call to Arms for Business Research." Schmalenbach J Bus Res 74, 77–102 (2022). https://doi.org/10.1007/s41471-021-00126-4
Bichler, Martin, and Johannes Knörr. "Getting prices right on electricity spot markets: On the economic impact of advanced power flow models." Energy Economics 126 (2023): 106968. https://doi.org/10.1016/j.eneco.2023.106968
Birchfield, Adam B., Thomas J. Overbye. "A Review on Providing Realistic Electric Grid Simulations for Academia and Industry. Current Sustainable Renewable Energy Rep 10, 154–161 (2023). https://doi.org/10.1007/s40518-023-00212-7
Bose, Anjan, Thomas J Overbye. "Electricity Transmission System Research and Development: Grid Operations", "Transmission Innovation Symposium." (2021). https://overbye.engr.tamu.edu/wp-content/uploads/sites/146/2022/11/Grid-...
Capitanescu, Florin, "Evaluating reactive power reserves scarcity during the energy transition toward 100% renewable supply," Electric Power Systems Research, Volume 190, 2021, 106672, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2020.106672.
Chevalier, Samuel. "A Parallelized, Adam-Based Solver for Reserve and Security Constrained AC Unit Commitment." arXiv:2310.06650v1, 10 Oct 2023. https://doi.org/10.48550/arXiv.2310.06650
Crozier, Constance, and Kyri Baker. "Data-driven Probabilistic Constraint Elimination for Accelerated Optimal Power Flow," 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5, https://doi.org/10.1109/PESGM48719.2022.9916838
Crozier, Constance, Kyri Baker, Yuhan Du, Javad Mohammadi, and Meiyi Li. "Data-driven contingency selection for fast security constrained optimal power flow." In 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1-6. IEEE, 2022. https://doi.org/10.1109/PMAPS53380.2022.9810574
Crozier, Constance, Kyri Baker, and Bridget Toomey. "Feasible region-based heuristics for optimal transmission switching." Sustainable Energy, Grids and Networks 30 (2022): 100628. https://doi.org/10.1016/j.segan.2022.100628
Curtis, Frank E., Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, and Elizabeth Wong. "A Decomposition Algorithm for Large-Scale Security-Constrained AC Optimal Power Flow." arXiv preprint arXiv:2110.01737 (2021). https://doi.org/10.48550/arXiv.2110.01737
Curtis, Frank E., Daniel K. Molzahn, Shenyinying Tu, Andreas Wächter, Ermin Wei, and Elizabeth Wong. "A decomposition algorithm with fast identification of critical contingencies for large-scale security-constrained AC-OPF." Operations Research (2023). https://doi.org/10.1287/opre.2023.2453
Coffrin, C. J. (2021). ARPA-E Grid Optimization Competition: Benchmark algorithm overview (No. LA-UR-21-29904). Los Alamos National Lab.(LANL), Los Alamos, NM (United States). https://www.osti.gov/servlets/purl/1825378
Coffrin, Carleton. "A Brief Introduction to Mathematical Optimization in Julia (Part 1)." No. LA-UR-21-20278. Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2021. https://cnls.lanl.gov/External/GSSlides2021/Coffrin%20-%202.pdf Cited by 257
Coffrin, Carleton, Russell Bent, Kaarthik Sundar, Yeesian Ng, and Miles Lubin. "Powermodels. jl: An open-source framework for exploring power flow formulations." In 2018 Power Systems Computation Conference (PSCC), pp. 1-8. IEEE, 2018. https://doi.org/10.23919/PSCC.2018.8442948
Coffrin, Carleton, Bernard Knueven, Jesse Holzer, and Marc Vuffray. "The impacts of convex piecewise linear cost formulations on AC optimal power flow." Electric Power Systems Research 199 (2021): 107191. https://doi.org/10.1016/j.epsr.2021.107191
Davoodi, Elnaz, Florin Capitanescu, and Louis Wehenkel. "A Methodology to Evaluate Reactive Power Reserves Scarcity during the Energy Transition." IEEE Transactions on Power Systems, Sept. 2023. https://doi.org/10.1109/TPWRS.2022.3216639
Dawson, Charles, and Chuchu Fan. "Adversarial optimization leads to over-optimistic security-constrained dispatch, but sampling can help." arXiv preprint arXiv:2310.06956 (2023). https://doi.org/10.48550/arXiv.2310.06956
Dawson, Charles, and Chuchu Fan. "A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling." arXiv preprint arXiv:2309.08052 (2023). https://doi.org/10.48550/arXiv.2309.08052
Diao, Ruisheng, Di Shi, Bei Zhang, Siqi Wang, Haifeng Li, Chunlei Xu, Tu Lan, Desong Bian, and Jiajun Duan. "On Training Effective Reinforcement Learning Agents for Real-time Power Grid Operation and Control." arXiv preprint arXiv:2012.06458 (2020). https://doi.org/10.48550/arXiv.2012.06458
Donti, Priya. "Bridging Deep Learning and Electric Power Systems." PhD diss., Carnegie Mellon University, 2022. https://kilthub.cmu.edu/ndownloader/files/37907025
Donti, Priya, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry Pileggi, and J. Zico Kolter. "Adversarially robust learning for security-constrained optimal power flow." Advances in Neural Information Processing Systems 34 (2021): 28677-28689. https://proceedings.neurips.cc/paper_files/paper/2021/hash/f0f07e680de407b0f12abf15bd520097-Abstract.html
Donti, Priya L., Inês Lima Azevedo, and J. Zico Kolter. "Inverse optimal power flow: Assessing the vulnerability of power grid data." In NeurIPS Workshop on AI for Social Good. 2018. https://aiforsocialgood.github.io/2018/pdfs/track1/118_aisg_neurips2018.pdf
Donti, Priya L., and J. Zico Kolter. "Machine learning for sustainable energy systems." Annual Review of Environment and Resources 46 (2021): 719-747. https://doi.org/10.1146/annurev-environ-020220-061831
Eldridge, Brent, Anya Castillo, Bernard Knueven, and Manuel Joseph Garcia. Sparse Dense and Compact Linearizations of the AC OPF (Online Supplement). No. SAND-2020-13322R. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Johns Hopkins Univ., Baltimore, MD (United States); Federal Energy Regulatory Commission, Washington, DC (United States); National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020. https://doi.org/10.2172/1734445
Eldridge, Brent C., and Abhishek Somani. Impact of FERC Order 2222 on DER Participation Rules in US Electricity Markets. No. PNNL-33383. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2022. https://doi.org/10.2172/1968796
Geth, Frederik, Marta Vanin, Werner Van Westering, Terese Milford, and Amritanshu Pandey. "Making Distribution State Estimation Practical: Challenges and Opportunities." arXiv preprint arXiv:2311.07021 (2023). https://doi.org/10.48550/arXiv.2311.07021
Gholami, Amin, Kaizhao Sun, Shixuan Zhang, and Xu Andy Sun. "An ADMM-based distributed optimization method for solving security-constrained AC optimal power flow." arXiv preprint arXiv:2202.06787 (2022). https://doi.org/10.1287/opre.2023.2486
Gholami, Amin, Kaizhao Sun, Shixuan Zhang, and Xu Andy Sun. "An Alternating Direction Method of Multipliers-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow." Operations Research (2023). https://doi.org/10.1287/opre.2023.2486
GIACOMARRA, FRANCESCO. "Generating Synthetic Power Grids using Exponential Random Graph Models." Masters diss. https://thesis.unipd.it/handle/20.500.12608/34901
Haghighat, Hossein, Wei Wang, and Bo Zeng. "Robust Microgrid Capacity Investment With Endogenous and Exogenous Uncertainties," in IEEE Transactions on Smart Grid, doi: https://doi.org/10.1109/TSG.2023.3326834
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Huang, Hao, Zeyu Mao, Astrid Layton, and Katherine R. Davis. "An Ecological Robustness Oriented Optimal Power Flow for Power Systems’ Survivability," in IEEE Transactions on Power Systems, vol. 38, no. 1, pp. 447-462, Jan. 2023, doi: https://doi.org/10.1109/TPWRS.2022.3168226
Huang, Zhenyu, Renke Huang, Yuri V. Makarov, Stephen J. Young, Rui Fan, Ahmad Tbaileh, Zhangshuan Hou, James O'Brien, Jason C. Fuller, Jacob Hansen, Laurentiu D. Marinovici. Sustainable Data Evolution Technology (SDET) for Power Grid Optimization. No. PNNL-28338. Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2018. https://doi.org/10.2172/1524091
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Jayawardene, Iroshani, Pramod Herath, and Ganesh Kumar Venayagamoorthy. "A Graph Theory-Based Clustering Method for Power System Networks," 2020 Clemson University Power Systems Conference (PSC), Clemson, SC, USA, 2020, pp. 1-8, https://doi.org/10.1109/PSC50246.2020.9131307
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Jiang, Tao, Alessandra Parisio, Guodong Liu, Qianwen Xu, Qinglai Guo, Feifei Bai, Zakir Rather, Gengfeng Li, and Vladimir Terzija. "Guest Editorial: Special issue on flexible and resilient urban energy systems." International Journal of Electrical Power & Energy Systems 154 (2023): 109439. https://doi.org/10.1016/j.ijepes.2023.109439. https://doi.org/10.1016/j.ijepes.2023.109439
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Sadat, Sayed Abdullah, Kibaek Kim, "Numerical Performance of Different Formulations for Alternating Current Optimal Power Flow," 2021 31st Australasian Universities Power Engineering Conference (AUPEC), Perth, Australia, 2021, pp. 1-6, https://doi.org/10.1109/AUPEC52110.2021.9597816
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Sadat, Sayed Abdullah, Xinyang Rui, and Mostafa Sahraei-Ardakani. "Computational Impacts of SVCs on Optimal Power Flow using Approximated Active-Set Interior Point Algorithm," 2021 North American Power Symposium (NAPS), College Station, TX, USA, 2021, pp. 1-6, https://doi.org/10.1109/NAPS52732.2021.9654705.
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Sadat, Sayed Abdullah, and Mostafa Sahraei-Ardakani. "Tuning successive linear programming to solve AC optimal power flow problem for large networks." International Journal of Electrical Power & Energy Systems 137 (2022): 107807. https://doi.org/10.1016/j.ijepes.2021.107807Get rights and content
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