Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control

被引:0
|
作者
Druet, C. [1 ]
Ernest, D. [1 ]
Wehenkel, L. [1 ]
机构
[1] Univ Liege, Inst Montefiore, Dept Elect & Comp Engn, B-4000 Liege, Belgium
来源
关键词
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy Monte Carlo control to determine a discrete switching control law to trip generators so as to avoid loss of synchronism. The proposed approach is tested on a model of a real large scale power system and results are compared with a quasi-optimal control law designed by a brute force approach for this system.
引用
收藏
页码:86 / 95
页数:10
相关论文
共 50 条
  • [1] Closed-loop control of a noisy qubit with reinforcement learning
    Ding, Yongcheng
    Chen, Xi
    Magdalena-Benedito, Rafael
    Martin-Guerrero, Jose D.
    [J]. MACHINE LEARNING-SCIENCE AND TECHNOLOGY, 2023, 4 (02):
  • [2] Deep Reinforcement Learning for Closed-Loop Blood Glucose Control
    Fox, Ian
    Lee, Joyce
    Pop-Busui, Rodica
    Wiens, Jenna
    [J]. MACHINE LEARNING FOR HEALTHCARE CONFERENCE, VOL 126, 2020, 126 : 508 - 535
  • [3] Closed-Loop Control of Fluid Resuscitation Using Reinforcement Learning
    Estiri, Elham
    Mirinejad, Hossein
    [J]. IEEE ACCESS, 2023, 11 : 140569 - 140581
  • [4] UTILIZATION OF A CLOSED-LOOP EMERGENCY CONTROL SYSTEM.
    Barkan, Ya.D.
    [J]. Power engineering New York, 1981, 19 (01): : 51 - 57
  • [5] Reinforcement learning fbr mixed open-loop and closed-loop control
    Hansen, EA
    Barto, AG
    Zilberstein, S
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE, 1997, 9 : 1026 - 1032
  • [6] Power system security enhancement by HVDC links using a closed-loop emergency control
    Benasla, Mokhtar
    Allaoui, Tayeb
    Brahami, Mostefa
    Sood, Vijay K.
    Denai, Mouloud
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2019, 168 : 228 - 238
  • [7] Closed-Loop Control of Facts Devices in Power System
    Jebaseelan, S. D. Sundarsingh
    Ravi, C. N.
    Nagarajan, G.
    Marlin, S.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING SYSTEMS, ICSCS 2015, VOL 1, 2016, 397 : 361 - 369
  • [8] Closed-Loop Control of Direct Ink Writing via Reinforcement Learning
    Piovarci, Michal
    Foshey, Michael
    Xu, Jie
    Erps, Timmothy
    Babaei, Vahid
    Didyk, Piotr
    Rusinkiewicz, Szymon
    Matusik, Wojciech
    Bickel, Bernd
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2022, 41 (04):
  • [9] Reinforcement learning based closed-loop reference model adaptive flight control system design
    Yuksek, Burak
    Inalhan, Gokhan
    [J]. INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2021, 35 (03) : 420 - 440
  • [10] Development and Application of Closed-Loop Control Performance Evaluation System for Nuclear Power Plant
    Luan, Zhen-Hua
    Yang, Zong-Wei
    Liu, Peng
    Liang, Jun
    [J]. NUCLEAR POWER PLANTS: INNOVATIVE TECHNOLOGIES FOR INSTRUMENTATION AND CONTROL SYSTEMS (ISNPP 2019), 2020, 595 : 335 - 344