现代电力2017，Vol.34Issue(6)：79-84,6.
基于非线性最小二乘法的光伏电池参数辨识
Parameter Identification Method for Photovoltaic Cells Based on Nonlinear Least Square Method
摘要
Abstract
The accuracy of the photovoltaic (PV) array model directly influences the validity of the simulation results,and the parameters of the PV array model may change with the operation conditions.Therefore,it is important to identify the parameters of the PV array model according to the measured data.In this paper,four-parameter model is used to model the PV module.Firstly,a nonlinear-least-squares based parameter identification method of PV cell is proposed to identify parameters of the PV cell based on stepwise linear searching method.The feasibility of the method is proved by comparing the identification curve and the measured data,its identification accuracy is high,and its realization is simple.Then,three parameters (α,β and γ) in the four-parameter model are optimized,and the parameter identification-coefficient optimization (PI-CO) iterative method is proposed through combing parameter identification and model coefficient optimization of the PV cell.In the iterative process,the parameter values and the system values can be converged to the optimal points,and the objective function value is decreased,which shows that PI-CO iterative method can further improve the simulation accuracy.关键词
光伏电池/参数辨识/非线性最小二乘/PI-CO迭代法Key words
PV cell/parameter identification/nonlinear least squares/PI-CO iterative method分类
信息技术与安全科学引用本文复制引用
张海宁..基于非线性最小二乘法的光伏电池参数辨识[J].现代电力,2017,34(6):79-84,6.基金项目
青海省电力公司项目(52280714001D) （52280714001D）
青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A) （2014-Z-Y34A）
