电测与仪表2026，Vol.63Issue(4)：1-10,10.DOI:10.19753/j.issn1001-1390.2026.04.001
基于NSGA-II参数辨识算法的分布式光伏动态分群等值建模方法研究
Research on the equivalent modeling method of distributed photovoltaic dynamic grouping based on NSGA-II parameter identification algorithm
摘要
Abstract
With the continuous increase in the penetration rate of distributed photovoltaics,traditional photovoltaic modeling methods are no longer able to meet modeling needs.To establish a model for large-scale regional distribu-ted photovoltaic systems and study their operational characteristics,a dynamic clustering multi-machine equivalent modeling method for distributed photovoltaic power generation systems is proposed.Firstly,representative feature points of the fault curve are selected as clustering indicators.Then,based on the improved FCM(fuzzy-C means)clustering algorithm,the distributed photovoltaic systems in the region are clustered using the selected feature points as indicators.Subsequently,the parameters design of the equivalent model is carried out.For control parameters that are difficult to obtain,a multi-objective optimization algorithm based on NSGA-II(non-dominated sorting genet-ic algorithm II)and principal component analysis is used to identify them.Other parameters are obtained using ca-pacity weighting method.Thus a multi-machine equivalent model for regional distributed photovoltaic systems is constructed.Finally,the feasibility and accuracy of the proposed equivalent modeling scheme of distributed photo-voltaic equivalent model is significantly improved using Simulink simulation tools.关键词
光伏发电/聚类/分群等值建模/改进的FCM算法/NSGA-II/主成分分析Key words
photovoltaic/clustering/grouping equivalent modeling/improved FCM algorithm/NSGA-II/principal component analysis分类
信息技术与安全科学引用本文复制引用
熊雪君,张雅君,杨心刚,潘爱强,杨秀,李文豪..基于NSGA-II参数辨识算法的分布式光伏动态分群等值建模方法研究[J].电测与仪表,2026,63(4):1-10,10.基金项目
国家电网有限公司科技项目(52094022004L) （52094022004L）
