Optimization of the Fuzzy MPPT Controller by GA for the Single-Phase Grid-Connected Photovoltaic System Controlled By Sliding Mode

被引：7

作者：

Abdelhalim, Borni ^{[1
]}

Abdelhak, Bouchakour ^{[1
]}

Noureddine, Bessous ^{[2
]}

Thameur, Abdelkrim ^{[1
]}

Abdelkader, Lakhdari ^{[1
]}

Zaghba, Layachi ^{[1
]}

机构：

[1] CDER, URAER, Ghardaia 47133, Algeria

[2] Univ Hamma Lakhder El Oued, El Oued, Algeria

来源：

TECHNOLOGIES AND MATERIALS FOR RENEWABLE ENERGY, ENVIRONMENT AND SUSTAINABILITY: TMREES19GR | 2019年 / 2190卷

关键词：

Photovoltaic generator; single-phase; MPPT; fuzzy logic_GA; sliding mode;

D O I：

10.1063/1.5138489

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper focuses on the performance of a single-phase inverter coupled to the grid in terms of optimal photovoltaic transfer, using the concept of sliding-mode variable structure systems. Moreover, a fuzzy logic control technique optimized by genetic algorithm (GA) associated with a boost converter is used to extract the Maximum Power Point Tracking (MPPT).The validation of the results using Matlab/Simulink software is carried under different environmental and operating conditions to verify the satisfactory performance of the proposed control strategies.

引用

页数：9

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