首页|期刊导航|清华大学学报自然科学版(英文版)|Hybrid Nature-Inspired Approach for Distribution Network Fault Recovery

Hybrid Nature-Inspired Approach for Distribution Network Fault RecoveryOA

Hybrid Nature-Inspired Approach for Distribution Network Fault Recovery

Chao-Yang Chen;Chengwei Liu;Hongping Zhu;Ying Zou;Pei Li;Zuguo Chen;Ling Wang

Sanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaSanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaSanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaSanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaSanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaSanya Institute of Hunan University of Science and Technology,Sanya 572025,China||Department of Information and Electrical Engineering,Hunan University of Science and Technology,Xiangtan 411100,ChinaDepartment of Automation,Tsinghua University,Beijing 100084,China

distribution networkfault recoveryimmune mechanismNorthern Goshawk Optimization algorithm(NGO)reconfiguration

distribution networkfault recoveryimmune mechanismNorthern Goshawk Optimization algorithm(NGO)reconfiguration

《清华大学学报自然科学版(英文版)》 2026 (5)

2432-2448,17

This work was supported by the National Natural Science Foundation of China(Nos.62222306 and 62203165),the Hunan Young Talents Science and Technology Innovation Project(No.2020RC3048),the Natural Science Found for Distinguished Young Scholars of Hunan Province(No.2021JJ10030).

10.26599/TST.2024.9010248

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