宁夏电力Issue(2)：32-40,9.DOI:10.3969/j.issn.1672-3643.2025.02.006
采用灰狼优化算法的光伏场站故障穿越暂态等值建模方法
Method of transient equivalent modeling of fault ride-through by the grey wolf optimization at PV power plant
摘要
Abstract
As the photovoltaic(PV)power generation is clean and renewable,it has been widely put into grid-con-nected operation.However,it is difficult to accurately analyze the properties of the fault ride-through for the PV power plant.So the study focuses on proposing a multi-machine equivalence method based on fault ride-through control feature clustering,establish a single-machine PV panel fault transient model by resolving the protection action characteristics,and identify the key equivalence parameters of PV clusters by using the grey wolf optimization algorithm(GWO).Simu-lation results show that the constructed equivalence model has good consistency with the detailed model under different operating conditions,in which the reactive power output of the equivalence model is slightly lower due to the deviation of control coefficients during the traversal period,but the error is less than 10%,and the rest of the electrical quantities can accurately reproduce the characteristics of the detailed model.This method effectively improves the transient simula-tion accuracy of PV stations and provides reliable theoretical support for the stability analysis of large-scale grid-connected PV systems.关键词
光伏发电/故障穿越/多机分群等值/灰狼参数辨识Key words
photovoltaic power generation/fault ride through/multi-machine grouping equivalent/grey wolf parameter identification分类
动力与电气工程引用本文复制引用
赫嘉楠,马燊丙,张旭,栗磊,牛健,梁亚波..采用灰狼优化算法的光伏场站故障穿越暂态等值建模方法[J].宁夏电力,2025,(2):32-40,9.基金项目
国网宁夏电力有限公司科技项目(5229DK230003) （5229DK230003）
