电力系统保护与控制2025，Vol.53Issue(5)：47-58,12.DOI:10.19783/j.cnki.pspc.240457
基于雪消融算法的光伏并网逆变器低电压穿越模型多阶段参数辨识方法
A multi-stage parameter identification method for low-voltage ride-through model of grid-connected PV inverters based on a snow ablation algorithm
摘要
Abstract
To accurately identify the parameters of the low-voltage ride-through(LVRT)model of PV inverters to meet the requirements of safety and reliability of PV grid-connected systems,this paper proposes a multi-stage parameter identification method for that model based on the snow-ablation-optimizer(SAO)algorithm.First,based on the characteristics of output curves of a PV power generation system during LVRT,a mathematical model of PV LVRT control is established,and the transient fault process is analyzed to determine the key control parameters of the LVRT process.Next,a multi-stage identification strategy is proposed for the coupling and correlation between the inner-loop PI control parameters and LVRT.Finally,a PV inverter model is developed based on actual engineering parameters,and the SAO algorithm is used to identify the inner-loop control parameters and LVRT parameters.Simulation case studies demonstrate the effectiveness of the proposed identification method.关键词
光伏并网逆变器/低电压穿越/相关性分析/雪消融算法/参数辨识Key words
PV grid-connected inverter/low-voltage ride-through/correlation analysis/snow ablation optimizer(SAO)/parameter identification引用本文复制引用
程杉,蔡子威,张旭军,黄永章,徐恒山..基于雪消融算法的光伏并网逆变器低电压穿越模型多阶段参数辨识方法[J].电力系统保护与控制,2025,53(5):47-58,12.基金项目
This work is supported by the Natural Science Foundation of Ningxia(No.2023AAC03857). 宁夏自然科学基金项目资助(2023AAC03857) （No.2023AAC03857）
新能源电力系统全国重点实验室2024年开放课题资助(LAPS24006) （LAPS24006）
