Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

被引：0
|
作者：
Patcharaprakiti, N [1 ]
Premrudeepreechacharn, S [1 ]
机构：
[1] Rajamagala Inst Technol, Dept Elect Engn, Chiang Rai 57120, Thailand
来源：
2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS | 2002年
关键词：
adaptive fuzzy logic; maximum power point tracking; photovoltaic system;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper proposed method of maximum power point tracking using adaptive fuzzy logic control for grid connected photovolatic system. The system composed of boost converter single-phase inverter connected to utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control MOSFET switch of boost converter and single phase inverter uses predicted current control to control four IGBTs switch for grid-connected control. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance and it can also change fuzzy parameter for improving control system. The fuzzy logic predicted current control provide current with sinusoidal waveshape and inphase with voltage. This system can provide energy with low harmonics and high power factor.
引用
收藏
页码：372 / 377
页数：6
相关论文
共 50 条
  • [1] Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system
    Patcharaprakitia, N
    Premrudeepreechacharn, S
    Sriuthaisiriwong, Y
    [J]. RENEWABLE ENERGY, 2005, 30 (11) : 1771 - 1788
  • [2] Maximum power point tracking for grid-connected photovoltaic system using Adaptive Fuzzy Logic Controller
    Ali, Majid
    Ahmad, Mujtaba
    Koondhar, Mohsin Ali
    Akram, Muhammad Sarfraz
    Verma, Aanchal
    Khan, Baseem
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2023, 110
  • [3] Maximum Power Point Tracking in Photovoltaic Grid-Connected Generation System by Using Fuzzy Control Algorithm
    Liu, Jie
    Yang, HaiZhu
    [J]. ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1, 2011, 104 : 245 - +
  • [4] The Research of Maximum Power Point Tracking Based on Fuzzy Control in Grid-Connected Photovoltaic System
    Xu, Qiang
    Zhang, Xiaochun
    Ren, Kaichun
    Zhang, Xingqi
    Liu, Xiaojun
    [J]. RENEWABLE AND SUSTAINABLE ENERGY II, PTS 1-4, 2012, 512-515 : 202 - +
  • [5] Grid-connected photovoltaic system with maximum power point tracking using self-organizing fuzzy logic controller
    Khaehintung, Noppadol
    Sirisuk, Phaophak
    Kunakorn, Anatawat
    [J]. TENCON 2005 - 2005 IEEE REGION 10 CONFERENCE, VOLS 1-5, 2006, : 1505 - 1508
  • [6] Study on Maximum Power Point Tracking for Grid-connected Photovoltaic System
    Zhang Housheng
    [J]. NANOTECHNOLOGY AND COMPUTER ENGINEERING, 2010, 121-122 : 93 - 96
  • [7] Adaptive Maximum Power Point Tracker in Photovoltaic Grid-connected System
    Wang, Haining
    Su, Jianhui
    Nayar, Chem
    Zhang, Peng
    [J]. IEEE PEDG 2010: THE 2ND INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS, 2010, : 374 - 377
  • [8] Maximum power point tracking using neural networks for grid-connected photovoltaic system
    Samangkool, K.
    Premrudeepreechacharn, S.
    [J]. 2005 INTERNATIONAL CONFERENCE ON FUTURE POWER SYSTEMS (FPS), 2005, : 93 - 96
  • [9] Maximum Power Point Tracking Using an Adaptive Perturbation and Observation Algorithm for a Grid-Connected Solar Photovoltaic System
    Huynh, Duy C.
    Dunnigan, Matthew W.
    [J]. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2015, 8 (03): : 97 - 110
  • [10] 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
12345