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Fault Identification in Power Network Based on Deep Reinforcement Learning

Mengshi Li Huanming Zhang Tianyao Ji Q.H.Wu

中国电机工程学会电力与能源系统学报(英文版)2022,Vol.8Issue(3):721-731,11.
中国电机工程学会电力与能源系统学报(英文版)2022,Vol.8Issue(3):721-731,11.DOI:10.17775/CSEEJPES.2020.04520

Fault Identification in Power Network Based on Deep Reinforcement Learning

Fault Identification in Power Network Based on Deep Reinforcement Learning

Mengshi Li 1Huanming Zhang 1Tianyao Ji 1Q.H.Wu1

作者信息

  • 1. School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China
  • 折叠

摘要

关键词

Artificial intelligence/deep Q network/deep reinforcement learning/fault diagnosis/fault identification/parameter identification/power network

Key words

Artificial intelligence/deep Q network/deep reinforcement learning/fault diagnosis/fault identification/parameter identification/power network

引用本文复制引用

Mengshi Li,Huanming Zhang,Tianyao Ji,Q.H.Wu..Fault Identification in Power Network Based on Deep Reinforcement Learning[J].中国电机工程学会电力与能源系统学报(英文版),2022,8(3):721-731,11.

基金项目

This work is supported by Fundamental Research Funds Program for the Central Universities(No.2019MS014)and Key-Area Research and Development Program of Guangdong Province(No.2020B010166004). (No.2019MS014)

中国电机工程学会电力与能源系统学报(英文版)

OACSCDCSTPCDEISCI

2096-0042

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