电力需求侧管理2025，Vol.27Issue(1)：101-106,6.DOI:10.3969/j.issn.1009-1831.2025.01.016
考虑配电网三相电压特征的IHPO-CSSVM电压暂降源识别
Voltage sag source identification using IHPO-CSSVM with consideration of three-phase voltage characteristics on the distribution network
摘要
Abstract
With the extensive integration of distributed power sources and power electronic devices into distribution networks,new charac-teristics are manifesting in aspects of energy supply and load demand.A voltage sag source identification method combining complete en-semble empirical mode decomposition with adaptive noise(CEEMDAN)and improved hunter-prey optimizer cost sensitive support vector machine(IHPO-CSSVM)is proposed to address the difficulties in selecting hyperparameters for support vector machine(SVM)and the imbalance of voltage sag source signal data categories.By simulating circuits on the Matlab/Simulink simulation platform,different types of voltage sag sources are obtained.The CEEMDAN is used to extract the feature vectors of the three-phase voltage of the voltage sag source signal,and its approximate entropy is calculated.A new feature vector is constructed and input into the IHPO-CSSVM classifier for training.Compared with SVM,CSSVMand extreme learning machine,simulation results show that IHPO-CSSVM has the highest recogni-tion accuracy.This method can accurately extract useful features from complex voltage signals and improve recognition accuracy by opti-mizing model parameters,providing an effective solution for voltage sag problems in power systems.关键词
完全集合经验模态分解与自适应噪声/改进的猎人猎物优化算法/代价敏感支持向量机/配网侧电压暂降Key words
complete ensemble empirical mode decomposition with adaptive noise/improved hunter-prey optimizer/algorithm-cost-sensi-tive support vector machine/distribution network side voltage sag sources分类
信息技术与安全科学引用本文复制引用
许超,李永刚,张书伟,赵丽萍,赵会超..考虑配电网三相电压特征的IHPO-CSSVM电压暂降源识别[J].电力需求侧管理,2025,27(1):101-106,6.基金项目
国家电网有限公司科技项目(SGJBZJ00PDJS2310916) （SGJBZJ00PDJS2310916）
