A new hybrid method based on Fuzzy Logic for maximum power point tracking of Photovoltaic Systems

被引:22
|
作者
Parvaneh, Mohammad Hasan [1 ,2 ]
Khorasani, Pouria Goharshenasan [1 ]
机构
[1] West Reg Elect Co, Kermanshah, Iran
[2] Bu Ali Sina Univ, Dept Elect Engn, Fac Engn, Hamadan, Hamadan, Iran
关键词
Maximum power point tracking (MPPT); Photovoltaic system; Short Circuit Current (SCC); Fuzzy Logic (FL); INCREMENTAL CONDUCTANCE MPPT; HARDWARE IMPLEMENTATION; NEURAL-NETWORK; PV SYSTEMS; ALGORITHM; SIMULATION; CONVERTER; CONTROLLER; MODULES;
D O I
10.1016/j.egyr.2020.06.010
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
Solar panels have non-linear voltage-current features with only one distinctive point where maximum power is obtained. This optimal power point alters with oscillations in temperature and radiation intensity. Various techniques have been proposed for online, offline and hybrid maximum power point tracking. In this paper a new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems has been proposed. At first, this algorithm presents a comparison of two components, including work point calculation and accurate adjustment. Then, work point calculation estimates the maximum power point. Finally, accurate adjustment follows the accurate value of maximum power based on Fuzzy Logic (FL) method. The method proposed in this study is simulated in MATLAB/SIMULINK work space. The proposed method is able to improve the dynamic response and steady-state response of the PV systems and a comparison is made between the results of simulation and the existing techniques and the efficacy of the proposed method has been discussed. (C) 2020 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:1619 / 1632
页数:14
相关论文
共 50 条
  • [1] A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems
    Al-Majidi, Sadeq D.
    Abbod, Maysam F.
    A-Raweshidy, Hamed S.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2018, 43 (31) : 14158 - 14171
  • [2] A hybrid maximum power point tracking method for photovoltaic systems
    Moradi, Mohammad H.
    Reisi, Ali Reza
    SOLAR ENERGY, 2011, 85 (11) : 2965 - 2976
  • [3] Evaluation of Fuzzy Logic based Maximum Power Point Tracking for Photovoltaic Power System
    Yetayew, T. T.
    Jyothsna, T. R.
    2015 IEEE POWER, COMMUNICATION AND INFORMATION TECHNOLOGY CONFERENCE (PCITC-2015), 2015, : 217 - 222
  • [4] A robust hybrid method for maximum power point tracking in photovoltaic systems
    Moradi, Mohammad H.
    Tousi, S. M. Reza
    Nemati, Milad
    Basir, N. Saadat
    Shalavi, N.
    SOLAR ENERGY, 2013, 94 : 266 - 276
  • [5] A fuzzy logic controller with beta parameter for maximum power point tracking of Photovoltaic systems
    Li, Xingshuo
    Went, Huiqing
    2016 IEEE 8TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (IPEMC-ECCE ASIA), 2016,
  • [6] Maximum Power Point Tracking of Photovoltaic Generation Based on the Type 2 Fuzzy Logic Control Method
    Gheibi, Amir
    Mohammadi, S. M. A.
    Maghfoori, M.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE 2011), 2011, 12
  • [7] A New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System
    Boutabba, T.
    Drid, S.
    Chrifi-Alaoui, L.
    Benbouzid, M. E.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2018, 31 (04): : 580 - 587
  • [8] A novel method of fuzzy controlled maximum power point tracking in photovoltaic systems
    Yaragatti, Udayakumar R.
    Naik, Anantha
    Ballal, Rajkiran
    Shreesha, C.
    2005 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY - (ICIT), VOLS 1 AND 2, 2005, : 1485 - 1490
  • [9] 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
  • [10] Hybrid maximum power point tracking control method for photovoltaic power generation systems
    Yun Zhang
    Haisen Wang
    Xinshan Zhu
    Journal of Power Electronics, 2023, 23 : 1542 - 1550