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

11Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.
Get full text

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.

Cite

CITATION STYLE

APA

ALSHAREEF, M. (2021). An Improved MPPT Method Based on Fuzzy Logic Controller for a PV System. Studies in Informatics and Control, 30(1), 89–98. https://doi.org/10.24846/v30i1y202108

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free