EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems

Flynn, Thomas; Sharma, Himanshu; Suetterlein, Joshua D.; Lakshmiranganatha, Sumathi; Vrabie, Draguna; Sweeney, Christine; Ramakrishniah, Vinay

doi:10.1145/3599733.3600261

EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems

Conference · 20 June 2023

DOI:https://doi.org/10.1145/3599733.3600261· OSTI ID:2204148

Flynn, Thomas; Sharma, Himanshu; Suetterlein, Joshua D.; Lakshmiranganatha, Sumathi; Vrabie, Draguna; Sweeney, Christine; Ramakrishniah, Vinay

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (SC-21)

DOE Contract Number:: SC0012704

OSTI ID:: 2204148

Report Number(s):: BNL-224923-2023-COPA

Resource Relation:: Conference: e-Energy '23: The 14th ACM International Conference on Future Energy Systems, Orlando FL USA, 6/20/2023 - 6/23/2023

Country of Publication:: United States

Language:: English

References (11)

Implicit - integration dynamics simulation with the GridPACK framework Abhyankar, Shrirang; Huang, Renke; Jin, Shuangshuang 2021 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM46819.2021.9637909	conference	July 2021
An analysis of previous blackouts in the world: Lessons for China׳s power industry Bo, Zeng; Shaojie, Ouyang; Jianhua, Zhang Renewable and Sustainable Energy Reviews, Vol. 42 https://doi.org/10.1016/j.rser.2014.10.069	journal	February 2015
Decision Tree-Based Preventive and Corrective Control Applications for Dynamic Security Enhancement in Power Systems Genc, Istemihan; Diao, Ruisheng; Vittal, Vijay IEEE Transactions on Power Systems, Vol. 25, Issue 3 https://doi.org/10.1109/TPWRS.2009.2037006	journal	August 2010
Adaptive Power System Emergency Control Using Deep Reinforcement Learning Huang, Qiuhua; Huang, Renke; Hao, Weituo IEEE Transactions on Smart Grid, Vol. 11, Issue 2 https://doi.org/10.1109/TSG.2019.2933191	journal	March 2020
Accelerated Derivative-Free Deep Reinforcement Learning for Large-Scale Grid Emergency Voltage Control Huang, Renke; Chen, Yujiao; Yin, Tianzhixi IEEE Transactions on Power Systems, Vol. 37, Issue 1 https://doi.org/10.1109/TPWRS.2021.3095179	journal	January 2022
Deep Reinforcement Learning for Autonomous Driving: A Survey Kiran, B. Ravi; Sobh, Ibrahim; Talpaert, Victor IEEE Transactions on Intelligent Transportation Systems https://doi.org/10.1109/TITS.2021.3054625	journal	January 2021
Reinforcement learning in robotics: A survey Kober, Jens; Bagnell, J. Andrew; Peters, Jan The International Journal of Robotics Research, Vol. 32, Issue 11 https://doi.org/10.1177/0278364913495721	journal	August 2013
An Efficient Optimal Control Method for Open-Loop Transient Stability Emergency Control Li, Zhihao; Yao, Guoqiang; Geng, Guangchao IEEE Transactions on Power Systems, Vol. 32, Issue 4 https://doi.org/10.1109/TPWRS.2016.2629620	journal	July 2017
Blackout Prevention in the United States, Europe, and Russia Makarov, Y. V.; Reshetov, V. I.; Stroev, A. Proceedings of the IEEE, Vol. 93, Issue 11 https://doi.org/10.1109/JPROC.2005.857486	journal	November 2005
GridPACK^TM: A framework for developing power grid simulations on high-performance computing platforms Palmer, Bruce; Perkins, William; Chen, Yousu The International Journal of High Performance Computing Applications, Vol. 30, Issue 2 https://doi.org/10.1177/1094342015607609	journal	October 2015
Applications of reinforcement learning in energy systems Perera, A. T. D.; Kamalaruban, Parameswaran Renewable and Sustainable Energy Reviews, Vol. 137 https://doi.org/10.1016/j.rser.2020.110618	journal	March 2021

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