Distribution Network Dual Time Scale Voltage Control Strategy Based on Multi-Agent Deep Reinforcement Learning
System Analysis & Operation|更新时间:2025-07-29
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Distribution Network Dual Time Scale Voltage Control Strategy Based on Multi-Agent Deep Reinforcement Learning
“In the field of new power systems, experts have proposed a dual time scale active reactive power coordinated voltage control strategy for distribution networks based on MADRL, which effectively reduces voltage fluctuations and provides a solution for the stability of distribution networks.”
Southern Power System TechnologyVol. 19, Issue 2, Pages: 68-79(2025)
作者机构:
上海电力大学电气工程学院, 上海 200090
作者简介:
基金信息:
the National Natural Science Foundation of China(52007112)
ZHAO Jingjing,ZHANG Chaoli,WANG Han,et al.Distribution Network Dual Time Scale Voltage Control Strategy Based on Multi-Agent Deep Reinforcement Learning[J].Southern Power System Technology,2025,19(02):68-79.
ZHAO Jingjing,ZHANG Chaoli,WANG Han,et al.Distribution Network Dual Time Scale Voltage Control Strategy Based on Multi-Agent Deep Reinforcement Learning[J].Southern Power System Technology,2025,19(02):68-79. DOI: 10.13648/j.cnki.issn1674-0629.2025.02.008.
Distribution Network Dual Time Scale Voltage Control Strategy Based on Multi-Agent Deep Reinforcement Learning