摘要
针对风电机组低电压穿越特性参数不易获取问题,提出了一种基于最小二乘法混合麻雀智能算法的网侧变流器低电压穿越特性参数辨识方法。首先,考虑电压跌落深度对机组性能的影响,利用风电机组运行过程中可测量的电气量,建立直驱风电机组低电压穿越的数学模型;其次,根据直驱风电机组网侧变流器正常运行状态下控制策略与故障穿越控制策略,对参与低电压穿越过程的参数进行解耦,确定待辨识低电压穿越特性参数;最后,提出用最小二乘估计混合麻雀算法辨识低电压穿越特性参数,以避免局部最优与收敛速度慢等辨识问题。算例仿真验证了该辨识方法的有效性及在不同故障条件下的适应性。
Aiming at the difficulty in obtaining characteristic parameters during low voltage ride through(LVRT)process of wind turbines,an identification method for characteristic parameters during LVRT process of grid-side converters based on least squares and sparrow search algorithm is proposed.Firstly,considering the impact of voltage sag depth on turbine performance,a mathematical model for LVRT of direct-drive wind turbines is established using measurable electrical quantities during the operation of wind turbines.Then,based on the control strategies during normal operation and fault ride through of the grid-side converter in direct-drive wind turbines,the parameters involved in the LVRT process are decoupled to identify the characteristic parameters during LVRT process to be identified.Finally,a hybrid approach using least squares estimation and sparrow search algorithm is proposed to identify the LVRT characteristic parameters,aiming to avoid issues such as local optima and slow convergence speed.Arithmetic simulation verifies the effectiveness of this identification method and its adaptability under different fault conditions.
作者
万佳
王晓东
付德义
刘颖明
杨斌
周晓飞
WAN Jia;WANG Xiaodong;FU Deyi;LIU Yingming;YANG Bin;ZHOU Xiaofei(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China;State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems,China Electric Power Research Institute,Beijing 100192,China)
出处
《电力科学与工程》
2025年第6期11-18,共8页
Electric Power Science and Engineering
基金
国家电网有限公司总部管理科技项目资助(4000-202355454A-3-2-ZN)。
关键词
直驱风电系统
参数辨识
灵敏度分析
网侧变流器
低电压穿越
direct-drive wind power system
parameter identification
sensitivity analysis
grid-side converters
LVRT
