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

Hong, Tao, David Wenzhong Gao, Tom Laing, Dale Kruchten, and Jorge Calzada. "Training energy data scientists: universities and industry need to work together to bridge the talent gap." IEEE Power and Energy Magazine 16, no. 3 (2018): 66-73, May-June 2018, doi: https://doi.org/10.1109/MPE.2018.2798759

Hou, Ashley M., and Line A. Roald. "Data-driven tuning for chance constrained optimization: analysis and extensions." Top 30, no. 3 (2022): 649-682. https://doi.org/10.1007/s11750-022-00639-z

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

Huang, Zhenyu and Yousu Chen. "High Performance Analytics for Grid Flexibility." Journal of Global Energy Interconnection. 2019(01) Page:1-7. https://www.cnki.net/kcms/doi/10.19705/j.cnki.issn2096-5125.2019.01.001.html

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

Jereminov, Marko, and Larry Pileggi. "Equivalent circuit programming for power flow analysis and optimization." arXiv preprint arXiv:2112.01351 (2021). https://doi.org/10.48550/arXiv.2112.01351

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

Karangelos, Efthymios, and Louis Wehenkel. "An Iterative AC-SCOPF Approach Managing the Contingency and Corrective Control Failure Uncertainties With a Probabilistic Guarantee," in IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3780-3790, Sept. 2019. https://doi.org/10.1109/TPWRS.2019.2902486

Kaviani, Ramin, and Kory W. Hedman. "A detection mechanism against load-redistribution attacks in smart grids." IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 704-714, Jan. 2021. https://doi.org/10.1109/TSG.2020.3017562

Kilwein, Zachary, Jordan Jalving, Michael Eydenberg, Logan Blakely, Kyle Skolfield, Carl Laird, and Fani Boukouvala. "Optimization with Neural Network Feasibility Surrogates: Formulations and Application to Security-Constrained Optimal Power Flow." Energies 16, no. 16 (2023): 5913. https://doi.org/10.3390/en16165913

Lan, Shuyue, Zhilu Wang, Ermin Wei, Amit K. Roy-Chowdhury, and Qi Zhu. "Collaborative Multi-Agent Video Fast-Forwarding." IEEE Transactions on Multimedia (2023). https://doi.org/10.1109/TMM.2023.3275853

Leveringhaus, Thomas, Leonard Kluss, Iwo Bekker, and Lutz Hofmann. "Solving Combined Optimal Transmission Switching and Optimal Power Flow sequentially as convexificated Quadratically Constrained Quadratic Program." Electric Power Systems Research 212 (2022): 108534. https://doi.org/10.1016/j.epsr.2022.108534

Li, Shiming, Jiangang Lu, Zhiwen Yu, Yue Dai, Shudi Liu, Wenjun Tang, and Ye Guo. "A review of security-constrained optimal power flow calculation method." In AIIPCC 2022; The Third International Conference on Artificial Intelligence, Information Processing and Cloud Computing, pp. 1-6. VDE, 2022. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10025882

Listopada, Sergey. "Laboratory Prototype of the Hybrid Intelligent Multi-Agent System of Heterogeneous Thinking." In CEUR Workshop Proceedings, pp. 186-193. 2020. https://ceur-ws.org/Vol-2782/paper_26.pdf

Maeght, Jean. "Recent methods for Optimal Power Flow with discrete variables." (March 3, 2021). https://www.trr154.fau.de/wp-content/uploads/2021/03/Maeght_Jean.pdf

Mansoori, Fatemeh, and Ermin Wei. "FlexPD: A flexible framework of first-order primal-dual algorithms for distributed optimization." IEEE Transactions on Signal Processing 69 (2021): 3500-3512. https://doi.org/10.1109/TSP.2021.3083981

McNamara, Timothy, Amritanshu Pandey, Aayushya Agarwal, and Lawrence Pileggi. "Two-stage homotopy method to incorporate discrete control variables into AC-OPF." Electric Power Systems Research 212 (2022): 108283. https://doi.org/10.1016/j.epsr.2022.108283

Meliopoulos, A. P., Gad Monga Ilunga, and George Cokkinides. "Optimal Reactive Power Dispatch Formulated as Quadratic OPF and Solved via CS-SLP." (2023). https://hdl.handle.net/10125/102945

Molzahn, Daniel. "A Review of Recent Developments in Nonlinear Optimization of Electric Power Systems." PSERC Webinar 2020. https://documents.pserc.wisc.edu/documents/general_information/presentations/pserc_seminars/webinars_2020/Molzahn___PSERC_Webinar_2020__1_.pdf

Moreira, A. Valenzuela and M. Heleno, "Solving Market-Based Large-Scale Security-Constrained AC Optimal Power Flows," in IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5088-5101, Nov. 2023. https://doi.org/10.1109/TPWRS.2022.3228211

Nadeem, Muhammad, Ahmad F. Taha. "Sorta Solving the OPF by Not Solving the OPF: DAE Control Theory and the Price of Realtime Regulation." arXiv:2304.03699v2, 7 Apr 2023. https://doi.org/10.48550/arXiv.2304.03699

Nagarajan, Harsha, Mowen Lu, and Russell Bent. "Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow." Semantic Scholar.org (2019). https://pdfs.semanticscholar.org/0efe/1da00ffabe7f4fdbeb13b7b47f9d79bfd4b6.pdf

Neira, David E., Carl D. Laird, Stuart M. Harwood, Dimitar Trenev, and Davide Venturelli. "Impact of Emerging Computing Architectures and Opportunities for Process Systems Engineering Applications." In Foundations of Computer-Aided Process Operations (FOCAPO)/Chemical Process Control (CPC) 2023. 2023. https://ntrs.nasa.gov/api/citations/20220010956/downloads/emerging_hardware_pse.pdf

Niu, Xiaochun, and Ermin Wei. "FedHybrid: A hybrid federated optimization method for heterogeneous clients." IEEE Transactions on Signal Processing 71: 150-163, 2023, https://doi.org/10.1109/TSP.2023.3240083

Ozdemir, Alex, Fraser Brown, and Riad S. Wahby. "CirC: Compiler infrastructure for proof systems, software verification, and more." 2022 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2022, pp. 2248-2266. https://doi.org/10.1109/SP46214.2022.9833782

Pandey, Amritanshu, Aayushya Agarwal, and Larry Pileggi. "Incremental model building homotopy approach for solving exact ac-constrained optimal power flow." arXiv preprint arXiv:2011.00587 (2020). https://doi.org/10.48550/arXiv.2011.00587

Pandey, Amritanshu, Mads R. Almassalkhi, and Samuel Chevalier. "Large-Scale Grid Optimization: the Workhorse of Future Grid Computations." Current Sustainable/Renewable Energy Reports (2023): 10, 139–153 (2023). https://doi.org/10.1007/s40518-023-00213-6 

Park, Byungkwon, and Christopher L. Demarco. "Optimal Network Topology for Node-Breaker Representations With AC Power Flow Constraints," in IEEE Access, vol. 8, pp. 64347-64355, 2020. https://doi.org/10.1109/ACCESS.2020.2984521

Park, Byungkwon, Jesse Holzer, and Christopher L. DeMarco. "A sparse tableau formulation for node-breaker representations in security-constrained optimal power flow." IEEE Transactions on Power Systems 34, no. 1 (2018): 637-647, Jan. 2019. https://doi.org/10.1109/TPWRS.2018.2869705

Park, Seonho, Wenbo Chen, Terrence WK Mak, and Pascal Van Hentenryck. "Compact optimization learning for AC optimal power flow." arXiv preprint arXiv:2301.08840 (2023). https://doi.org/10.48550/arXiv.2301.08840

Park, Seonho, and Pascal Van Hentenryck. "Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow." arXiv preprint arXiv:2311.18072 (2023). https://doi.org/10.48550/arXiv.2311.18072

Parker, Robert Brunato, and Carleton James Coffrin. The Grid Optimization Competition Benchmark Algorithm. No. LA-UR-23-31646. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023. https://doi.org/10.2172/2202592

Petra, Cosmin G., and Ignacio Aravena. "Solving realistic security-constrained optimal power flow problems." arXiv preprint arXiv:2110.01669 (2021). https://doi.org/10.48550/arXiv.2110.01669

Petra, Cosmin G., and Ignacio Aravena. "A surrogate-based asynchronous decomposition technique for realistic security-constrained optimal power flow problems." Operations Research (2023). https://doi.org/10.1287/opre.2022.0229

Rahman, Jubeyer, Cong Feng, and Jie Zhang. "Machine learning-aided security constrained optimal power flow." In 2020 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5. IEEE, 2020. https://doi.org/10.1109/PESGM41954.2020.9281941

Rahman, Jubeyer, Cong Feng, and Jie Zhang. "A learning-augmented approach for AC optimal power flow." International Journal of Electrical Power & Energy Systems 130 (2021): 106908. https://doi.org/10.1016/j.ijepes.2021.106908

Rodríguez Medina, Diego Fernando. "Fast security constraint optimal power flow using parallel and heterogenous computing" (Doctoral dissertation, Universidad Nacional de Colombia). https://repositorio.unal.edu.co/handle/unal/80849

Rodriguez, Diego, Juan M. Gers, Diego Gómez, Wilmer Garzón, David Alvarez, and Sergio Rivera. "A Fast Decomposition Method to Solve SCOPF Empowered by Parallel Computing." In 2022 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5. IEEE, 2022. https://doi.org/10.1109/PESGM48719.2022.9916694

Roland, Marius. "Adaptive Refinement Algorithms for Optimization Problems in Energy Transport Networks." PhD diss., Trier University, 2022. https://ubt.opus.hbz-nrw.de/opus45-ubtr/frontdoor/deliver/index/docId/2009/file/Dissertation_Roland.pdf

Ryu, Minseok, Kibaek Kim. "Differentially Private Distributed Convex Optimization." arXiv:2302.14514v1, 28 Feb 2023. https://doi.org/10.48550/arXiv.2302.14514

Sadat, Sayed Abdullah. "Evaluating the Performance of Various ACOPF Formulations Using Nonlinear Interior-Point Method," 2021 IEEE International Smart Cities Conference (ISC2), Manchester, United Kingdom, 2021, pp. 1-7, https://doi.org/10.1109/ISC253183.2021.9562928

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

Sadat, Sayed Abdullah. "Towards Computationally Tractable Optimal Power Flow: Analysis, Development, and Implementation." PhD diss., The University of Utah, 2022. https://www.proquest.com/openview/5bbb8121891a184b6a06dc6f8d5b9ee9/1?pq-origsite=gscholar&cbl=18750&diss=y

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.

Sadat, Sayed Abdullah, and Mostafa Sahraei-Ardakani. "Customized sequential quadratic programming for solving large-scale ac optimal power flow." In 2021 North American Power Symposium (NAPS), pp. 1-6. IEEE, 2021. https://doi.org/10.1109/NAPS52732.2021.9654571

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

Safdarian, Farnaz, Sanjana Kunkolienkar, Jonathan Snodgrass, Adam Birchfield, and Thomas J. Overbye. "Creating a Portfolio of Large-Scale, High-Quality Synthetic Grids: A Case Study." 23 Nov 2023. Preprint Available at SSRN: https://ssrn.com/abstract=4642630 or http://dx.doi.org/10.2139/ssrn.4642630

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