Review of research on new distribution system optimization operation based on deep reinforcement learning
Electric Power Automation EquipmentVol. 45, Issue 9, Pages: 152-164(2025)
SUMMARY AND SURVEY|更新时间:2025-09-09
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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.”
作者机构:
1.四川大学 电气工程学院,四川 成都 610065
2.广东电网有限责任公司广州供电局,广东 广州 510620
作者简介:
基金信息:
the National Natural Science Foundation of China(52077146)
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.
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.
Review of research on new distribution system optimization operation based on deep reinforcement learning