A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System
作者机构：Department of Electrical EngineeringUmm Al-Qura UniversityMakkah21955Saudi Arabia College of Engineering at Wadi AddawaserPrince Sattam Bin Abdulaziz UniversityWadi Ad-Dawasir11991Saudi Arabia Electrical Engineering DepartmentFaculty of EngineeringMinia UniversityMinia61111Egypt
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2021年第37卷第4期
页 面：63-71页
核心收录：
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Optimization marine predators algorithm photovoltaic system battery charging applications partial shading condition MPPT
摘 要：A robust single-sensor global maximum power point tracking(MPPT)strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this *** proposed strategy is designed for battery charging applications and direct current(DC)*** normal operation,the curve of photovoltaic(PV)output power versus PV voltage contains only a single peak *** point can be simply captured using any traditional tracking method like perturb and ***,this situation is completely different during the shadowing effect where several peaks appear on the power voltage *** of these peaks are local with only a single *** condition leads to the incapability of traditional tracking approaches to extract the global peak power due to their inability to distinguish between the local and global peak *** are trapped in the first peak point even when the point is ***,global tracking approaches based on modern optimization are highly required.A recent marine predators algorithm(MPA)has been used to solve the problem of tracking the global MPP under shadowing *** shadowing scenarios are used to test and evaluate the performance of MPA based *** obtained results are compared with particle swarm optimization(PSO)and ant lion optimizer(ALO).The results of the comparison con-firmed the effectiveness and robustness of the proposed global MPPT-MPA based tracker over PSO and ALO.
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