Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system

被引：206
|
作者：
Larbes, C. [1 ]
Cheikh, S. M. Ait [1 ]
Obeidi, T. [1 ]
Zerguerras, A. [1 ]
机构：
[1] Ecole Natl Polytech, Lab Dispositifs Commun & Convers Photovolta, Dept Elect, El Harrach 16200, Alger, Algeria
来源：
RENEWABLE ENERGY | 2009年 / 34卷 / 10期
关键词：
Photovoltaic system; MPPT; Fuzzy logic; Genetic algorithm; DC-DC converter; DESIGN;
D O I：
10.1016/j.renene.2009.01.006
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 presents an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and irradiance conditions. First, for the purpose of comparison and because of its proven and good performances, the perturbation and observation (P&O) technique is briefly introduced. A fuzzy logic controller based MPPT (FLC) is then proposed which has shown better performances compared to the P&O MPPT based approach. The proposed FLC has been also improved using genetic algorithms (GA) for optimisation. Different development stages are presented and the optimized fuzzy logic MPPT controller (OFLC) is then simulated and evaluated, which has shown better performances. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2093 / 2100
页数：8
相关论文
共 50 条
  • [21] Maximum power point tracking using fuzzy logic control
    Algazar, Mohamed M.
    AL-monier, Hamdy
    Abd EL-Halim, Hamdy
    Salem, Mohamed Ezzat El Kotb
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 39 (01) : 21 - 28
  • [22] Fuzzy Maximum Power Point Tracking Algorithm for Photovoltaic System
    Aherkar, Arjun
    Deshpande, Amruta
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 1564 - 1567
  • [23] Maximum Power Point Tracking of Photovoltaic Water Pumping System Using Fuzzy Logic Controller
    Aashoor, F. A. O.
    Robinson, F. V. P.
    2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC), 2013,
  • [24] Improved Maximum Power Point Tracking Algorithm using a Fuzzy Logic Controller for a Photovoltaic System
    Na, Woonki
    Chen, Pengyuan
    Kim, Jonghoon
    Jung, Hong-Ju
    2016 IEEE 7TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG), 2016,
  • [25] Fuzzy Logic Approach for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System
    Napole, Cristian
    Derbeli, Mohamed
    Barambones, Oscar
    APPLIED SCIENCES-BASEL, 2021, 11 (13):
  • [26] A fuzzy logic control scheme for a solar photovoltaic system for a maximum power point tracker
    Ansari, Md Fahim
    Chatterji, S.
    Iqbal, Atif
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2010, 29 (04) : 245 - 255
  • [27] Implementation of Photovoltaic Maximum Power Point Tracking Fuzzy Logic Controller on FPGA
    Abbes, Hanen
    Loukil, Kais
    Abid, Hafedh
    Abid, Mohamed
    Toumi, Ahmad
    JOURNAL OF INFORMATION ASSURANCE AND SECURITY, 2016, 11 (02): : 97 - 106
  • [28] Maximum power point tracking for a photovoltaic solar panel, using fuzzy logic
    Robles, Carlos
    Villa, Gabriel
    TELEMATIQUE, 2011, 10 (02): : 54 - 72
  • [29] Maximum power point tracking of fuel cell power system using fuzzy logic control
    Punctul maxim de urmǍrire a puterii la sistemul celulelor de combustibil cu control vag logic
    Jiao, J. (jiaotlu@sina.com), 1600, Editura ELECTRA (62):
  • [30] Optimization of Fuzzy Logic Controller Based Maximum Power Point Tracking Using Hierarchical Genetic Algorithms
    Guenounou, Ouahib
    Belkaid, Abdelhakim
    Colak, Ilhami
    Dahhou, Boutaib
    Chabour, Ferhat
    2021 9TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID, 2021, : 207 - 211
12345