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A multi-model management approach for power system transient stability assessment based on multi-moment feature clustering

Xiaoyu Han Tao Liu Defu Cai Rusi Chen Erxi Wang Jinfu Chen

全球能源互联网（英文）2025，Vol.8Issue(5)：847-857,11.

全球能源互联网（英文）2025，Vol.8Issue(5)：847-857,11.DOI:10.1016/j.gloei.2025.01.009

A multi-model management approach for power system transient stability assessment based on multi-moment feature clustering

Xiaoyu Han ¹Tao Liu ¹Defu Cai ²Rusi Chen ²Erxi Wang ²Jinfu Chen¹

作者信息

1. School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,PR China
2. Power Science Research Institute of State Grid Hubei Electric Power Co.,Wuhan 430074,PR China
折叠

摘要

关键词

Transient stability assessment/Artificial intelligence/Convolutional neural network/Clustering algorithm/Power system/Model management

Key words

Transient stability assessment/Artificial intelligence/Convolutional neural network/Clustering algorithm/Power system/Model management

引用本文复制引用

Xiaoyu Han,Tao Liu,Defu Cai,Rusi Chen,Erxi Wang,Jinfu Chen..A multi-model management approach for power system transient stability assessment based on multi-moment feature clustering[J].全球能源互联网（英文）,2025,8(5):847-857,11.

基金项目

This work was supported by the Science and Technol-ogy Project of SGCC(5100-202199558A-0-5-ZN). （5100-202199558A-0-5-ZN）

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ISSN：2096-5117

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