An Improved MPPT Method Based on Fuzzy Logic Controller for a PV System

Muhannad ALSHAREEF
Department of Communication and Electronics Engineering, College of Engineering in Al-Qunfudhah,
Umm al-Qura University, Mecca, Saudi Arabia
mjshareef@uqu.edu.sa

Abstract: This paper proposes, implements and incorporates a new maximum power point tracking (MPPT) method for controlling photovoltaic systems (PV). The structure and characteristics of conventional hill-climbing based MPPT are analysed. Moreover, the simplicity of its implementation in the environment of the MATLAB software is dues to using the C-block in order to simulate the algorithm and the PV system. The proposed fuzzy logic controller (FLC) based on the variable step-size hill-climbing MPPT method provides a rapid and precise convergence to the maximum power point (MPP) under normal and varying weather conditions in comparison with the conventional hill-climbing method. The simulation results are provided in order to validate the performance and feasibility of the proposed controller, while taking into consideration different conditions for the solar irradiation operation.

Keywords: Fuzzy-logic controller (FLC), Maximum power point tracking (MPPT), Hill-climbing, Energy efficiency, Photovoltaic system.

>>FULL TEXT: PDF

CITE THIS PAPER AS:
Muhannad ALSHAREEF, An Improved MPPT Method Based on Fuzzy Logic Controller for a PV System, Studies in Informatics and Control, ISSN 1220-1766, vol. 30(1), pp. 89-98, 2021. https://doi.org/10.24846/v30i1y202108