Parameter identification and generality analysis of photovoltaic module dual-diode model based on artificial hummingbird algorithm  

作　　者：Zhen Li Jianke Hu Yifeng Han Hefeng Li Jun Wang Peter D.Lund 

机构地区：[1]Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology,School of Energy&Environment,Southeast University,Nanjing 210096,China [2]PowerChina Huadong Engineering Corporation Limited,No.201 Gaojiao Road,Hangzhou 311122,China [3]School of Science,Aalto University,FI-00076,Aalto(Espoo),Finland

出　　处：《Clean Energy》2023年第6期1219-1232,共14页清洁能源（英文）

摘　　要：The aim of this study is to propose a photovoltaic(PV)module simulation model with high accuracy under practical working conditions and strong applicability in the engineering field to meet various PV system simulation needs.Unlike previous model-building methods,this study combines the advantages of analytical and metaheuristic algorithms.First,the applicability of various metaheuristic algorithms is comprehensively compared and the seven parameters of the PV cell under standard test conditions are extracted using the double diode model,which verifies that the artificial hummingbird algorithm has higher accuracy than other algorithms.Then,the seven parameters under different conditions are corrected using the analytical method.In terms of the correc-tion method,the ideal factor correction is added on the basis of previous methods to solve the deviation between simulated data and measured data in the non-linear section.Finally,the root mean squared error between the simulated current data and the measured current data of the proposed model under three different temperatures and irradiance is 0.0697,0.0570 and 0.0289 A,respectively.

关 键 词：photovoltaic modules dual-diode model parameter identification metaheuristic algorithms parameter correction 

分 类 号：TP39[自动化与计算机技术—计算机应用技术] TN31[自动化与计算机技术—计算机科学与技术]