Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel

被引：1

作者：

Ourahou M. ^{[1
]}

Ayrir W. ^{[1
]}

Haddi A. ^{[1
]}

机构：

[1] Laboratory of Innovative Technologies, National School of Applied Sciences, Abdelmalek Essaâdi University, Tangier

来源：

International Journal for Simulation and Multidisciplinary Design Optimization | 2019年 / 10卷

关键词：

Current correction; Fuzzy logic; MPPT; Perturb & Observe algorithm; Photovoltaic energy;

D O I：

10.1051/smdo/2019007

中图分类号：

学科分类号：

摘要：

This paper presents a two-way optimization of the Perturb & Observe (P&O) maximum power point tracking (MPPT) technique using current correction and fuzzy logic techniques. In fact, photovoltaic (PV) energy has become more and more coveted today. In the future, it will become a necessity. To ensure its optimization, maximum operating point tracking method is considered as a technological key in PV systems. One of the most used MPPT methods is the P&O technique. In this paper, we will focus on optimizing this method based on two techniques. A first attempt has been made to estimate a current correction of the P&O algorithm in case of illumination variation. Then, fuzzy logic optimization attempt had been highlighted to improve power loss. It is shown that both proposed techniques are very effective and allow considerable improvement of accuracy and are less affected by sudden variation of climatic parameters. The proposed approaches are tested via Matlab software and compared the classical P&O algorithm. Through applications, we could conclude that the two optimized proposed methods offer a remarkable improvement concerning power losses. © M. Ourahou et al., published by EDP Sciences, 2019.

引用

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