MPPT of Wind Energy Conversion System Based on Fuzzy Control

被引：0
|
作者：
Fang, Ke [1 ]
Su, Yanjun [2 ]
Liu, Xindong [1 ]
机构：
[1] Jinan Univ, Coll Elect Informat Engn, Zhuhai 519070, Peoples R China
[2] Dali Elect Power Supply Bur, Dali 671000, Peoples R China
来源：
PROGRESS IN RENEWABLE AND SUSTAINABLE ENERGY, PTS 1 AND 2 | 2013年 / 608-609卷
基金：
中国国家自然科学基金;
关键词：
wind energy conversion system; MPPT; fuzzy control;
D O I：
10.4028/www.scientific.net/AMR.608-609.734
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 output characteristics of wind energy conversion system are affected by the wind speed stochastic nonlinearity and uncertainty. To improve conversion efficiency, the method of realizing maximum power point tracking (MPPT) based on fuzzy control is proposed. Through adjusting the speed of the wind turbine by output power, the system approximates the maximum power operating point without wind speed sensor. The method constantly revises the system parameter in operation so that the parameter can be constantly optimized. Simulation results are given and discussed with MATLAB/SEMULINK to validate that the proposed control strategy has the good performance in terms of dynamic response and steady property.
引用
收藏
页码：734 / +
页数：2
相关论文
共 50 条
  • [1] A MPPT Strategy Based on Fuzzy Control for a Wind Energy Conversion System
    El Yaakoubi, Ali
    Asselman, Adel
    Djebli, A.
    Aroudam, El Hassan
    [J]. 9TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2015, 2016, 22 : 697 - 704
  • [2] MPPT Control Based Fuzzy for Wind Energy Generating System
    Fu, Chenghao
    Pan, Tinglong
    Liu, Hui
    Wu, Dinghui
    Shen, Yanxia
    Hao, Zeliang
    [J]. 2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 7465 - 7470
  • [3] Fuzzy Logic Based MPPT for a Wind Energy Conversion System Using Sliding Mode Control
    Heshmatian, Saeed
    Kazemi, Ahad
    Khosravi, Mahyar
    Khaburi, Davood A.
    [J]. 2017 8TH POWER ELECTRONICS, DRIVE SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC), 2017, : 335 - 340
  • [4] Hybrid Fuzzy Logic-Based MPPT for Wind Energy Conversion System
    Chowdary, Vankayalapati Govinda
    Sankar, V. Udhay
    Mathew, Derick
    Basha, C. H. Hussaian
    Rani, C.
    [J]. SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2018, VOL 2, 2020, 1057 : 951 - 968
  • [5] MPPT fuzzy logic controller of a wind energy conversion system based on a PMSG
    Marmouh, S.
    Boutoubat, M.
    Mokrani, L.
    [J]. PROCEEDINGS OF 2016 8TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION & CONTROL (ICMIC 2016), 2016, : 296 - 302
  • [6] Fuzzy Logic Based MPPT Control for a PV/Wind Hybrid Energy System
    Zebraoui, Otmane
    Bouzi, Mostafa
    [J]. PROCEEDINGS OF 2017 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 17), 2017, : 881 - 887
  • [7] Variable universe fuzzy controller used in MPPT based on DFIG wind energy conversion system
    Hou, Guolian
    Jiang, Zhuo
    Yang, Yu
    Zhang, Jianhua
    [J]. PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 5871 - 5875
  • [8] FUZZY LOGIC BASED MPPT FOR PERMANENT MAGNET SYNCHRONOUS GENERATOR IN WIND ENERGY CONVERSION SYSTEM
    Tiwari, Ramji
    Babu, Ramesh N.
    [J]. IFAC PAPERSONLINE, 2016, 49 (01): : 462 - 467
  • [9] MPPT Control for Current Source Converter Based PMSG Wind Energy Conversion System
    Bao, Jianyu
    Bao, Weibing
    Gong, Jie
    [J]. ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2013, 614-615 : 1460 - +
  • [10] MPPT algorithm for wind energy conversion system based on PMSG
    Tounsi, Asma
    Abid, Hafedh
    Kharrat, Maher
    Elleuch, Khaled
    [J]. 2017 18TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA), 2017, : 533 - 538
12345