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

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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Bibliographic Details
Main Authors: Hao JIAO, Yanyan YIN, Chen WU, Jian LIU, Chunlei XU, Xian XU, Guoqiang SUN
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2024-03-01
Series:Zhongguo dianli
Subjects:
active distribution network
active and reactive power coordination optimization
safety reinforcement learning
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202311065
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