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作 者:程杉[1] 蔡子威 张旭军 黄永章 徐恒山 CHENG Shan;CAI Ziwei;ZHANG Xujun;HUANG Yongzhang;XU Hengshan(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;Electric Power Science Research Institute,State Grid Gansu Electric Power Company,Lanzhou 730070,China;State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
机构地区:[1]三峡大学电气与新能源学院,湖北宜昌443002 [2]国网甘肃省电力公司电力科学研究院,甘肃兰州730070 [3]新能源电力系统国家重点实验室(华北电力大学),北京102206
出 处:《电力系统保护与控制》2025年第5期47-58,共12页Power System Protection and Control
基 金:宁夏自然科学基金项目资助(2023AAC03857);新能源电力系统全国重点实验室2024年开放课题资助(LAPS24006)。
摘 要:为获得准确的光伏逆变器低电压穿越(low-voltage-ride-through,LVRT)模型参数以满足光伏并网系统安全可靠的要求,提出了基于雪消融算法(snow-ablation-optimizer,SAO)的光伏并网逆变器低电压穿越模型多阶段参数辨识方法。首先,基于光伏发电系统低电压穿越输出曲线特性,建立了光伏低电压穿越控制数学模型并分析故障暂态过程,明确了低电压穿越过程的核心控制参数。其次,针对内环PI控制参数与LVRT的耦合性和相关性问题,提出多阶段辨识策略。最后,依据实际工程参数对光伏逆变器建模,利用雪消融算法对内环控制参数与LVRT参数进行辨识,仿真算例表明了所提辨识方法的有效性。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.
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