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

被引：6
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.
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页数：9
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