Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition

作     者：Aygul, Kemal Cikan, Murat Demirdelen, Tugce Tumay, Mehmet 

作者机构：Cukurova Univ Elect & Elect Engn Adana Turkey Cumhuriyet Univ Elect & Elect Engn Sivas Turkey Adana Alparslan Turkes Sci & Technol Univ Elect & Elect Engn Adana Turkey 

出 版 物：《ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS》 (能源A辑：回收、利用与环境影响)

年 卷 期：2023年第45卷第3期

页      面：8337-8355页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0817[工学-化学工程与技术] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Research Fund of Cukurova University [:10587] 

主　　题：Partial shading photovoltaic solar energy butterfly optimization algorithm MPPT 

摘      要：Because of dust, trees, high buildings in the surrounding area, partial shading conditions (PSC) occur in photovoltaic (PV) systems. This condition affects the power output of the PV system. Under PSC there is a global maximum power point (GMPP) besides there are a few local maximum power points (LMPP). This condition makes the maximum power point tracking (MPPT) procedure a challenging task. In order to solve this issue, soft computing techniques such as gray wolf optimization (GWO), particle swarm optimization (PSO) and Gravitational Search Algorithm (GSA) are implemented. However, the performance of MPP trackers still needs to be improved. The main contribution of this paper is improving the tracking speed by implementing BOA to the MPPT of the PV system under PSC. Thus, in real-time applications a promising alternative presented to the literature to improve the performance of the PV systems under variable PSC because of its fast tracking speed. PV system consists of PV array, boost converter and load are modeled and simulated in MATLAB/Simulink. BOA algorithm is implemented for three different insolation scenarios on the PV array. The results of the BOA algorithm verified by a comparative analysis with PSO-GSA and GWO algorithms. The results show that BOA can give high accuracy and better tracking speed than these algorithms in recent literature.