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State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System

Hongxia Wang Bo Wang Peng Luo Fuqi Ma Yinyu Zhou Mohamed A.Mohamed

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(4)：983-992,10.

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(4)：983-992,10.DOI:10.17775/CSEEJPES.2021.01270

State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System

Hongxia Wang ¹Bo Wang ¹Peng Luo ¹Fuqi Ma ¹Yinyu Zhou ²Mohamed A.Mohamed³

作者信息

1. School of Electrical Engineering and Automation,Wuhan University,Wuhan 430074,China
2. Huizhou Power Supply Bureau Co.,Ltd.,Huizhou 516001,Guangdong Province,China
3. Electrical Engineering Department,Faculty of Engineering,Minia University,Minia 61519,Egypt
折叠

摘要

关键词

Data characteristics/evolution direction/random matrix theory/real-time evaluation/resilient power system

Key words

Data characteristics/evolution direction/random matrix theory/real-time evaluation/resilient power system

引用本文复制引用

Hongxia Wang,Bo Wang,Peng Luo,Fuqi Ma,Yinyu Zhou,Mohamed A.Mohamed..State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System[J].中国电机工程学会电力与能源系统学报（英文版）,2022,8(4):983-992,10.

基金项目

This paper is supported by National Natural Science Foundation of China under Grant No.51907096. （）

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

ISSN：2096-0042

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