摘要
光伏发电作为一种清洁且可再生的能源,已被大规模并网运行,然而,其故障穿越特性依然难以准确解析。因此,提出基于故障穿越控制特征分群的多机等值方法,通过解析保护动作特性建立单机光伏板故障暂态模型,并采用灰狼优化算法辨识光伏组群关键等值参数。仿真结果表明,所建等值模型在不同工况下与详细模型具有良好一致性,其中无功功率在穿越期间因控制系数偏差导致等值模型输出略低,但误差低于10%,其余电气量均能准确复现详细模型特性。该方法有效提升了光伏场站暂态仿真精度,为规模化光伏并网系统的稳定性分析提供了可靠的理论支撑。
As the photovoltaic(PV)power generation is clean and renewable,it has been widely put into grid-connected 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).Simulation 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 simulation accuracy of PV stations and provides reliable theoretical support for the stability analysis of large-scale grid-connected PV systems.
作者
赫嘉楠
马燊丙
张旭
栗磊
牛健
梁亚波
HE Jianan;MA Shenbing;ZHANG Xu;LI Lei;NIU Jian;LIANG Yabo(Ningxia Electric Power Research Institute,State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan Ningxia 750011,China;School of Mechanical and Electrical Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)
出处
《宁夏电力》
2025年第2期32-40,共9页
Ningxia Electric Power
基金
国网宁夏电力有限公司科技项目(5229DK230003)。
关键词
光伏发电
故障穿越
多机分群等值
灰狼参数辨识
photovoltaic power generation
fault ride through
multi-machine grouping equivalent
grey wolf parameter identification
