Fuzzy Based Maximum Power Point Tracking on a PV System

被引:0
|
作者
Vinifa, R. [1 ]
Kavitha, A. [1 ]
机构
[1] Guindy Anna Univ, Coll Engn, Chennai 600025, Tamil Nadu, India
关键词
Maximum power point tracking; PV array characteristics; fuzzy logic controller; PHOTOVOLTAIC ARRAYS;
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
A substantial rise in global energy demand and growing concern about shortage on conventional energy reserves as well as environmental issues have drawn more attention to renewable energy sources. The photo voltaic (PV) cell has optimum operating point to be able to get maximum power. To obtain maximum power from photovoltaic power system usually requires Maximum Power Point Tracking (MPPT) Controller. In this work fuzzy based MPPT is proposed. The photovoltaic generator exhibits a nonlinear - characteristic and its maximum power (MP) point varies with solar insolation. Fuzzy logic is a natural way of expressing uncertain information and can be finely tuned to certain nonlinearities. The algorithm is verified for various atmospheric conditions in MATLAB/SIMULINK environment.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Fuzzy system based maximum power point tracking for PV system
    Wilamowski, BM
    Li, XL
    [J]. IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 2002, : 3280 - 3284
  • [2] Fuzzy Logic Controller based Maximum Power Point Tracking for PV System
    Narendiran, S.
    Sahoo, Sarat Kumar
    Das, Raja
    Sahoo, Ashwin Kumar
    [J]. 2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES), 2016, : 29 - 34
  • [3] A Maximum Power Point Tracking of PV System by Scaling Fuzzy Control
    Chang, Yuen-Haw
    Chang, Chia-Yu
    [J]. INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III, 2010, : 1212 - 1216
  • [4] Fuzzy Logic Control for the tracking of maximum power point of a PV system
    Bouchafaa, F.
    Hamzaoui, I.
    Hadjammar, A.
    [J]. IMPACT OF INTEGRATED CLEAN ENERGY ON THE FUTURE OF THE MEDITERRANEAN ENVIRONMENT, 2011, 6 : 633 - 642
  • [5] Maximum power point tracking of PV system using ANFIS prediction and fuzzy logic tracking
    Aldobhani, Abdulam M. S.
    John, Robert I.
    [J]. IMECS 2008: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2008, : 1359 - 1366
  • [6] Maximum Power Point Tracking of PV System Based on Machine Learning
    Takruri, Maen
    Farhat, Maissa
    Barambones, Oscar
    Antonio Ramos-Hernanz, Jose
    Turkieh, Mohammed Jawdat
    Badawi, Mohammed
    AlZoubi, Hanin
    Sakur, Maswood Abdus
    [J]. ENERGIES, 2020, 13 (03)
  • [7] Maximum Power Point Tracking for Solar PV System
    Gupta, Subhash
    Kalika, S.
    Cabigting, Luisito R.
    [J]. MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7, 2012, 110-116 : 2034 - 2037
  • [8] PV Module Modeling and Maximum Power Point Tracking Based on Asymmetric Fuzzy Control
    Xiao, Hongjun
    Li, Xianxiang
    Wu, Jun
    Luo, Zhongliang
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 : 1518 - 1524
  • [9] Optimisation of Fuzzy Controller for Tracking the Maximum Power Point in PV Systems
    Haraoubia, Mohamed Amine
    Essounbouli, Najib
    Hamzaoui, Abdelaziz
    [J]. PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC'15), 2015, : 88 - 95
  • [10] Design and Simulation of Intelligent Maximum Power Point Tracking (MPPT) based on Fuzzy Logic Controller for PV System
    Jabber, Noor H.
    Ridha, Amel A.
    Al-Baghdadi, Maher A. R. Sadiq
    [J]. PROCEEDING OF THE 2ND 2022 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSASE 2022), 2022, : 157 - 162