基于准最小二乘法的光伏阵列模型鲁棒参数估计方法  

Robust Parameter Identification Method of Photovoltaic Array Model Based on Quasi-least Squares

作　　者：朱香如 史毅 洪智慧 张正江[1] 胡文 ZHU Xiangru;SHI Yi;HONG Zhihui;ZHANG Zhengjinag;HU Wen(National-Local Joint Engineering Research Center of Electrical Digital Design Technology,Wenzhou University,Wenzhou 325035,China)

机构地区：[1]温州大学电气数字化设计技术国家地方联合工程研究中心,浙江温州325035

出　　处：《计算机测量与控制》2023年第12期180-187,共8页Computer Measurement &Control

基　　金：国家自然科学基金项目(61703309);温州市基础性科研项目(H20220006,H20220007);工业控制技术国家重点实验室(浙江大学)开放课题(ICT2022B65)。

摘　　要：光伏阵列的模型参数估计在光伏发电系统的仿真、输出功率预测、最大功率点跟踪等方面有重要意义;当测量数据中只含随机误差时,以加权最小二乘(WLS)为优化函数的参数估计方法有较好的辩识效果;但是当测量数据中含有显著误差时,WLS参数辩识的效果较差;为解决此问题,提出了一种以准加权最小二乘法(QWLS)为优化函数的参数估计方法来减小显著误差的影响,采用了赤池信息量准则(AIC)设计QWLS最优参数,将该方法应用于光伏阵列中构造模型鲁棒参数估计问题;最后将WLS和QWLS分别结合序列二次规划(SQP)算法,进行光伏阵列模型的参数估计仿真与实验测试;测试结果显示QWLS参数估计结果更准确,验证了准最小二乘法的鲁棒性与有效性.The parameter identification of photovoltaic array model is of great significance in the simulation,the output power pre-diction and maximum power point tracking of the photovoltaic array in a photovoltaic power generation system.Weighted least squares(WLS),as a commonly used parameter identification optimization function,has a good recognition effect when the measurement data only contains random errors.When there are obvious errors in the measurement data,the effect of parameter identification with the WLS is poor.To solve this problem,a quasi-weighted least squares(QWLS)method as a optimization function is proposed to reduce the influence of obvious errors,Akaike information criterion is used to design the optimal parameter of the QWLS,and the method is applied in the model of photovoltaic arrays to construct the robust parameter estimation problem.Finally,the WLS and QWLS are combined with the sequential quadratic programming(SQP)algorithm to carry out the simulation and experimental testing of parame-ter identification of the photovoltaic aray model.The results show that the parameter estimation of the QWLS is more accurate,which further verifies the robustness and effectiveness of the quasi-least squares method.

关 键 词：光伏模型 参数估计 最小二乘法 准最小二乘法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]