Fuzzy logic control approach of a maximum power point employing SEPIC converter for standalone photovoltaic system

被引：13
|
作者：
El Khateb, Ahmad H. [1 ]
Rahim, Nasrudin Abd [1 ]
Selvaraj, Jeyraj [1 ]
机构：
[1] Univ Malaya, Wisma R&D, UM Power Energy Dedicated Adv Ctr UMPEDAC, Kuala Lumpur 59990, Malaysia
来源：
3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE FUTURE FOR HUMAN SECURITY, SUSTAIN 2012 | 2013年 / 17卷
关键词：
Fuzzy logic controller (FLC); Maximum power point tracker (MPPT); Photovoltaic (PV);
D O I：
10.1016/j.proenv.2013.02.068
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 a new fuzzy logic controller as a maximum power point tracker employing single-ended primary-inductor (SEPIC) converter. The new controller improves perturb and observe search method with rules to fuzzify and eliminate its drawbacks. An accurate and fast converging to maximum power point is offered by fuzzy logic tracker during both steady-state and varying weather conditions compared to conventional maximum power point tracking methods. The performance of the proposed maximum power point tracker is demonstrated in both simulation and experiment at different operating conditions. (C) 2013 The Authors. Published by Elsevier B.V.
引用
收藏
页码：529 / 536
页数：8
相关论文
共 50 条
  • [21] Standalone Photovoltaic System with Maximum Power Point Tracking: Modeling and Simulation
    Yatimi, Hanane
    Aroudam, Elhassan
    INTERNATIONAL JOURNAL OF SYSTEM DYNAMICS APPLICATIONS, 2018, 7 (03) : 94 - 111
  • [22] Extraction of Maximum Power from Photovoltaic System using Fuzzy Logic Control
    Rajesh
    Mabel, M. Carolin
    2013 INTERNATIONAL CONFERENCE ON ENERGY EFFICIENT TECHNOLOGIES FOR SUSTAINABILITY (ICEETS), 2013,
  • [23] Tracking Maximum Power Point from Photovoltaic System Using Fuzzy Logic Technique
    Ravikumar, N.
    Kohila, J.
    2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT 2013), 2013, : 93 - 97
  • [24] Evaluation of Fuzzy Logic Subsets Effects on Maximum Power Point Tracking for Photovoltaic System
    Hajighorbani, Shahrooz
    Radzi, M. A. M.
    Ab Kadir, M. Z. A.
    Shafie, S.
    Khanaki, Razieh
    Maghami, M. R.
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2014, 2014
  • [25] Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm
    Mahamudul, Hasan
    Saad, Mekhilef
    Henk, Metselaar Ibrahim
    INTERNATIONAL JOURNAL OF PHOTOENERGY, 2013, 2013
  • [26] A photovoltaic powered electrolysis converter system with maximum power point tracking control
    Sahin, Mustafa Ergin
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 45 (16) : 9293 - 9304
  • [27] Enhancing the Photovoltaic System Output Performance Through the Use of Maximum Power Point Tracking and Fuzzy Logic Control
    Attayah, Baqer Turki
    Alzaidi, Ali Idham
    Fasel, Naib
    Rava, Mohammad
    2021 IEEE INTERNATIONAL CONFERENCE IN POWER ENGINEERING APPLICATION (ICPEA 2021), 2021, : 68 - 72
  • [28] Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
    Patcharaprakiti, N
    Premrudeepreechacharn, S
    2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, : 372 - 377
  • [29] Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
    Patcharaprakitia, N
    Premrudeepreechacharn, S
    Sriuthaisiriwong, Y
    RENEWABLE ENERGY, 2005, 30 (11) : 1771 - 1788
  • [30] A Photovoltaic-Based SEPIC Converter with Dual-Fuzzy Maximum Power Point Tracking for Optimal Buck and Boost Operations
    Ramalu, Tanaselan
    Radzi, Mohd Amran Mohd
    Zainuri, Muhammad Ammirrul AtiqiMohd
    Wahab, Noor Izzri Abdul
    Rahman, Ribhan Zafira Abdul
    ENERGIES, 2016, 9 (08):
12345