A GMPPT design using the following optimization algorithm for PV systems

Abstract

Summary In this study, the problem of tracking the global maximum power point (GMPP) in partially shaded conditions (PSCs) is considered as an optimization problem and solved by a novel optimization algorithm on the basis of the following optimization algorithm (FOA). This article examines a new way of using social relations based on optimization among members of a community in which members of the community as search factors try to improve the community by “following” each other. The proposed FOA has only one adjustable parameter, which leads to a simple structure and easy to implement. To validate the suggested method, some PSC scenarios with several peaks in the P‐V curve are executed. The MATLAB/SIMULINK is employed to implement a photovoltaic (PV) system comprising a PV array, a boost converter, and the suggested FOA. Besides, the effectiveness of the suggested method is confirmed by an experimental set‐up. The main limitation of the proposed approach is the accuracy of the measuring sensors.