您当前的位置:
首页 >
文章列表页 >
Review of research on new distribution system optimization operation based on deep reinforcement learning
Electric Power Automation Equipment   Vol. 45, Issue 9, Pages: 152-164(2025)
SUMMARY AND SURVEY | 更新时间:2025-09-09
    • Review of research on new distribution system optimization operation based on deep reinforcement learning

    • “In the context of a high proportion of new energy access, the optimization technology for the operation of new distribution systems is facing challenges. Deep reinforcement learning technology is expected to solve key problems and promote the development of multi time scale collaboration, model generalization, and intelligent interaction.”
    • DOI:10.16081/j.epae.202505008    

      CLC: TM715;TP18
    • Received:14 September 2024,

      Revised:2025-04-07,

      Published Online:23 May 2025,

      Published:10 September 2025

    移动端阅览

  • WANG Renjun,GAO Hongjun,LUO Longbo,et al.Review of research on new distribution system optimization operation based on deep reinforcement learning[J].Electric Power Automation Equipment,2025,45(09):152-164. DOI: 10.16081/j.epae.202505008.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Outline
No Sections

Related Articles

Reactive power coordination optimization scheduling of distribution network based on improved multi-agent deep deterministic policy gradient algorithm
Deep reinforcement learning method for voltage control considering topology change of distribution system
Uncertain event-driven fault recovery strategy based on multi-agent deep reinforcement learning
Optimal scheduling of hydrogen coupled electrothermal integrated energy system based on deep reinforcement learning algorithm
Nash bargaining based transaction model for multi-type entities on distribution network side under electricity market environment

Related Author

LI Cheng
ZHOU Jiazhe
LI Jiacheng
CHU Tianfeng
WANG Shunjiang
DENG Yehang
DOU Xun
ZHANG Youbing

Related Institution

Research Institute of State Grid Liaoning Electric Power Co.,Ltd.
State Grid Liaoning Electric Power Co.,Ltd.
College of Electrical Engineering and Control Science,Nanjing Tech University
School of Electrical Engineering,Zhejiang University
College of Information Engineering,Zhejiang University of Technology
0