Coordinated Optimization of Active and Reactive Power of Active Distribution Network Based on Safety Reinforcement Learning

A safe reinforcement learning method based on offline strategies is proposed. Through offline training of a large amount of historical operating data of the distribution network, it gets rid of the traditional optimization method. Dependence on complete and accurate models. First, combined with the...

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Hlavní autoři:	Hao JIAO, Yanyan YIN, Chen WU, Jian LIU, Chunlei XU, Xian XU, Guoqiang SUN
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	State Grid Energy Research Institute 2024-03-01
Edice:	Zhongguo dianli
Témata:	active distribution network active and reactive power coordination optimization safety reinforcement learning
On-line přístup:	https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311065
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