MAXIMUM POWER POINT TRACKING OF PHOTOVOLTAIC SYSTEM USING FEEDBACK FUZZY SYSTEM

被引:0
|
作者
Chouksey, Luckey [1 ]
Saket, R. K. [1 ]
Pattanaik, P. Akash [1 ]
机构
[1] Banaras Hindu Univ, Indian Inst Technol, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India
关键词
MPPT; feedback fuzzy controller; photovoltaic panel;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a novel intelligent method to track the voltage corresponding to maximum power point of a photovoltaic system. Here, the solar model is tested under variable temperature & irradiance conditions using Fuzzy logic & compare it with conventional methods. The fuzzy control used in the system uses a change in power (error) and rate of change in power (Change in error) as the inputs to get the optimum reference voltage and optimum duty cycle to track the maximum operating point. This method assures fast tracking of a maximum power point with a high accuracy and the results is verified by using Simulink model in Matlab. The system mainly consists of a photovoltaic panel, boost converter and fuzzy controller.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] Maximum Power Point Tracking of a Photovoltaic System Using State Feedback Gain Fuzzy Control
    Chaibi, Redouane
    El Bachtiri, Rachid
    El Hammoumi, Karima
    Yagoubi, Mohamed
    [J]. 2022 10TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2022, : 119 - 124
  • [2] Fuzzy Maximum Power Point Tracking Algorithm for Photovoltaic System
    Aherkar, Arjun
    Deshpande, Amruta
    [J]. 2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 1564 - 1567
  • [3] A Fuzzy Control Maximum Power Point Tracking Photovoltaic System
    Purnama, Irwan
    Lo, Yu-Kang
    Chiu, Huang-Jen
    [J]. IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 2432 - 2439
  • [4] Maximum power point tracking using fuzzy logic control for photovoltaic system
    Soufi, Youcef
    Bechouat, Mohcene
    Kahla, Sami
    Bouallegue, Kais
    [J]. 2014 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATION (ICRERA), 2014, : 902 - 906
  • [5] Maximum Power Point Tracking of Photovoltaic System Using Adaptive Fuzzy Controller
    Refaat, Mohamed M.
    Atia, Yousry
    Sayed, M. M.
    Fattah, Hossam A. Abdel
    [J]. 2017 INTL CONF ON ADVANCED CONTROL CIRCUITS SYSTEMS (ACCS) SYSTEMS & 2017 INTL CONF ON NEW PARADIGMS IN ELECTRONICS & INFORMATION TECHNOLOGY (PEIT), 2017, : 127 - 131
  • [6] Maximum power point tracking in photovoltaic system by using adaptive fuzzy arithmetic
    Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China
    不详
    不详
    [J]. Taiyangneng Xuebao, 2008, 6 (657-661):
  • [7] Maximum Power Point Tracking for Photovoltaic System by Using Fuzzy Neural Network
    Hameed, Waleed, I
    Saleh, Ameer L.
    Sawadi, Baha A.
    Al-Yasir, Yasir I. A.
    Abd-Alhameed, Raed A.
    [J]. INVENTIONS, 2019, 4 (03)
  • [8] Fuzzy control for maximum power-point tracking of a photovoltaic system
    Ben Safia, Z.
    Allouch, M.
    Harrabi, N.
    Bahloul, M.
    Chaabane, M.
    Aitouche, A.
    [J]. 2018 7TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2018, : 263 - 269
  • [9] Tracking Maximum Power Point from Photovoltaic System Using Fuzzy Logic Technique
    Ravikumar, N.
    Kohila, J.
    [J]. 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT 2013), 2013, : 93 - 97
  • [10] Maximum power point tracking of a photovoltaic energy system using neural fuzzy techniques
    李春华
    朱新坚
    隋升
    胡万起
    [J]. Advances in Manufacturing, 2009, 13 (01) : 29 - 36