电力系统保护与控制2025，Vol.53Issue(11)：105-115,11.DOI:10.19783/j.cnki.pspc.241013
基于S-Koopman能量矩阵的互联电网扰动事件分类及区域定位
Disturbance event classification and regional localization in interconnected power grids based on the S-Koopman energy matrix
摘要
Abstract
The classification of disturbance event types and the identification of their regional locations are critical for the stability analysis and control of interconnected power grids.To address this,a disturbance event classification and localization method based on the S-Koopman energy matrix is proposed.This method uses the subspace optimal mode decomposition algorithm(Sub-OpMD)to calculate the optimal low dimensional matrix of the S-Koopman operator,which captures the dynamic information of the stochastic system.The S-Koopman energy matrix is then constructed according to the eigen decomposition results of the optimal low dimensional matrix.The S-Koopman energy matrix reflects the dynamic behavior of the system;its row/column vectors can extract different feature data following disturbance events,as well as the fluctuation strengths of PMU data at different positions.Furthermore,by analyzing the dynamic variation patterns of PMU data under different disturbance types and regions,quantitative indicators of disturbance event classification and regional localization are proposed.The calculation and analysis of the New England 10-generator 39-bus simulation system and the CEPRI-SSFS 197-bus real-world system verify the rationality,effectiveness,and accuracy of the proposed method.关键词
扰动事件分类/扰动区域定位/S-Koopman能量矩阵/量化指标Key words
disturbance event classification/disturbance regional localization/S-Koopman energy matrix/quantitative indicator引用本文复制引用
周书宇,杨晶莹,蔡国伟,刘铖,姜超..基于S-Koopman能量矩阵的互联电网扰动事件分类及区域定位[J].电力系统保护与控制,2025,53(11):105-115,11.基金项目
This work is supported by the National Key Research and Development Program of China(No.2021YFB2400800). 国家重点研发计划项目资助(2021YFB2400800)"响应驱动的大电网稳定性智能增强分析与控制技术" （No.2021YFB2400800）
