Performance Analysis of Neural Network and Fuzzy Logic Based MPPT Techniques for Solar PV Systems

被引：0
|
作者：
Gupta, Ankit [1 ]
Kumar, Pawan [1 ]
Pachauri, Rupendra Kumar [1 ]
Chauhan, Yogesh K. [1 ]
机构：
[1] Gautam Buddha Univ, Sch Engn, Dept Elect Engn, Greater Noida 201308, Uttar Pradesh, India
来源：
2014 6TH IEEE POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2014年
关键词：
Maximum power point tracking (MPPT); Photovoltaic (PV) system; Neural network; Fuzzy logic; DC/DC Boost converter; TRACKING CONTROLLER; POWER;
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：
The maximum power point tracking (MPPT) technique in the photovoltaic (PV) system is used to achieve maximum power through the solar PV system. Therefore, the interest is generated to design a more effective and efficient MPPT to achieve maximum power transfer to the load. In this context, two MPPT techniques, i.e. artificial neural network (ANN) and fuzzy logic control (FLC) are implemented and their performance is analysed. Both the MPPT techniques are investigated in terms of efficiency and response and they are developed in MATLAB/Simulink environment. Their performance is investigated under variable irradiation conditions and found satisfactory for both the techniques.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Analyses of PO-Based Fuzzy Logic-Controlled MPPT and Incremental Conductance MPPT Algorithms in PV Systems
    Cakmak, Fevzi
    Aydogmus, Zafer
    Tur, Mehmet Rida
    ENERGIES, 2025, 18 (02)
  • [22] Fuzzy-based MPPT control for solar PV applications
    Yadlapalli R.T.
    International Journal of Innovative Computing and Applications, 2023, 14 (04) : 220 - 229
  • [23] An Improved MPPT Method Based on Fuzzy Logic Controller for a PV System
    Alshareef, Muhannad
    STUDIES IN INFORMATICS AND CONTROL, 2021, 30 (01): : 89 - 98
  • [24] Reconfigurable generic FPGA implementation of fuzzy logic controller for MPPT of PV systems
    Youssef, Ayman
    El Telbany, Mohammed
    Zekry, Abdelhalim
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 : 1313 - 1319
  • [25] Comparison of fuzzy logic and neural network in maximum power point tracker for PV systems
    Ben Salah, Chokri
    Ouali, Mohamed
    ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (01) : 43 - 50
  • [26] A Fuzzy Logic based MPPT Method for Solar Power Generation
    Prasad, Bhanu C.
    Reddy, Raja Gopal B.
    Sonam, Soma Keerthi
    Harika, Padamati
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2017, : 1182 - 1186
  • [27] System Parameter Based Performance Optimization of Solar PV Systems with Perturbation Based MPPT Algorithms
    Angadi, Sachin
    Yaragatti, Udaykumar R.
    Suresh, Yellasiri
    Raju, A. B.
    ENERGIES, 2021, 14 (07)
  • [28] Performance Analysis of Brain Tumor Detection based on Fuzzy Logic and Neural Network Classifier
    Anbumozhi, Selladurai
    CURRENT MEDICAL IMAGING, 2016, 12 (04) : 304 - 312
  • [29] Neural Network based MPPT system for Standalone PV system
    Pindi, Nikhil
    Joshi, Siddharth
    Mehta, Bhinal
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 1866 - 1871
  • [30] Fuzzy Logic Based MPPT for PV Array under Partially Shaded Conditions
    Chin, Chia Seet
    Chin, Yit Kwong
    Chua, Bih Lii
    Kiring, Aroland
    Teo, Kenneth Tze Kin
    2012 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT), 2012, : 133 - 138
12345