Learner Phase of Partial Reinforcement Optimizer with Nelder-Mead Simplex for Parameter Extraction of Photovoltaic Models  

作　　者：Jinpeng Huang Zhennao Cai Ali Asghar Heidari Lei Liu Huiling Chen Guoxi Liang 

机构地区：[1]Department of Computer Science and Artificial Intelligence,Wenzhou University,Wenzhou,325035,China [2]School of Surveying and Geospatial Engineering,College of Engineering,University of Tehran,Tehran,1417935840,Iran [3]College of Computer Science,Sichuan University,Chengdu,610065,Sichuan,China [4]Department of Artificial Intelligence,Wenzhou Polytechnic,Wenzhou,325035,China

出　　处：《Journal of Bionic Engineering》2024年第6期3041-3075,共35页仿生工程学报(英文版)

基　　金：supported in part by the Natural Science Foundation of Zhejiang Province(LTGS23E070001).

摘　　要：This paper proposes an improved version of the Partial Reinforcement Optimizer(PRO),termed LNPRO.The LNPRO has undergone a learner phase,which allows for further communication of information among the PRO population,changing the state of the PRO in terms of self-strengthening.Furthermore,the Nelder-Mead simplex is used to optimize the best agent in the population,accelerating the convergence speed and improving the accuracy of the PRO population.By comparing LNPRO with nine advanced algorithms in the IEEE CEC 2022 benchmark function,the convergence accuracy of the LNPRO has been verified.The accuracy and stability of simulated data and real data in the parameter extraction of PV systems are crucial.Compared to the PRO,the precision and stability of LNPRO have indeed been enhanced in four types of photovoltaic components,and it is also superior to other excellent algorithms.To further verify the parameter extraction problem of LNPRO in complex environments,LNPRO has been applied to three types of manufacturer data,demonstrating excellent results under varying irradiation and temperatures.In summary,LNPRO holds immense potential in solving the parameter extraction problems in PV systems.

关 键 词：Partial reinforcement optimizer Learner phase Nelder-Mead simplex algorithm Parameter extraction 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]