Using Neuro Fuzzy PI Techniques in Wind Turbine Control

被引：0
|
作者：
Aissaoui, Abdel Ghani [1 ]
Tahour, Ahmed [1 ]
Abid, Mohamed [1 ]
Essounbouli, Najib [2 ]
Nollet, Frederic [2 ]
机构：
[1] Univ Djilali Liabes, Fac Engn Sci, IRECOM Lab, Sidi Bel Abbes 22000, Algeria
[2] IUT Troyes, CReSTIC Lab, F-10026 Troyes, France
来源：
2013 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2013年
关键词：
Wind energy; Induction generator; Neuro-Fuzzy control; Power control;
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, we develop the overall model of the wind energy conversion systems (WECS) structure based on induction generator (IG). The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on Neuro-fuzzy technique in order to control the power of the WECS. The main drawback is that the WECS is highly nonlinear. An adaptive Neuro-Fuzzy-PI power controller is proposed to overcome this problem. A Simulation study is done to validate the strategy used in power control.
引用
收藏
页码：605 / 610
页数：6
相关论文
共 50 条
  • [1] Neuro fuzzy control on horizontal axis wind turbine
    Lenz, Wagner Barth
    Tusset, Angelo Marcelo
    Ap Ribeiro, Mauricio
    Balthazar, Jose Manoel
    [J]. MECCANICA, 2020, 55 (01) : 87 - 101
  • [2] Neuro fuzzy control on horizontal axis wind turbine
    Wagner Barth Lenz
    Angelo Marcelo Tusset
    Mauricio Ap. Ribeiro
    Jose Manoel Balthazar
    [J]. Meccanica, 2020, 55 : 87 - 101
  • [3] Torque and pitch angle control of a wind turbine using multiple adaptive neuro-fuzzy control
    Sahoo, Satyabrata
    Subudhi, Bidyadhar
    Panda, Gayadhar
    [J]. WIND ENGINEERING, 2020, 44 (02) : 125 - 141
  • [4] Control of Wind Turbine Based on DFIG Using Fuzzy-PI and Sliding Mode Controllers
    Hamane, B.
    Doumbia, M. L.
    Bouhamida, M.
    Benghanem, M.
    [J]. 2014 NINTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2014,
  • [5] Rotor Current Control Design for DFIG-based Wind Turbine Using PI, FLC and Fuzzy PI Controllers
    Al Zabin, O.
    Ismael, A.
    [J]. 2019 INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTING TECHNOLOGIES AND APPLICATIONS (ICECTA), 2019,
  • [6] Speed Control of a Wind Turbine Using Fuzzy Logic
    Garduno, Raul
    Borunda, Monica
    Hernandez, Miguel A.
    Zubeldia, Gorka
    [J]. ADVANCES IN SOFT COMPUTING, MICAI 2019, 2019, 11835 : 522 - 536
  • [7] A novel fuzzy self-coupled PI for wind turbine MPPT control
    He, Shenghua
    Fan, Bishuang
    Xiahou, Zhicong
    Wu, Jiangping
    Huai, Xiaowei
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2023, 51 (09): : 46 - 55
  • [8] A Fuzzy-PI control to extract an optimal power from wind turbine
    Aissaoui, Abdel Ghani
    Tahour, Ahmed
    Essounbouli, Najib
    Nollet, Frederic
    Abid, Mohamed
    Chergui, Moulay Idriss
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2013, 65 : 688 - 696
  • [9] Control for Variable Speed Wind Turbine Driving a Doubly Fed Induction Generator using Fuzzy-PI Control
    Hamane, B.
    Benghanem, M.
    Bouzid, A. M.
    Belabbes, A.
    Bouhamida, M.
    Draou, A.
    [J]. TERRAGREEN 2012: CLEAN ENERGY SOLUTIONS FOR SUSTAINABLE ENVIRONMENT (CESSE), 2012, 18 : 476 - 485
  • [10] Fuzzy-PI Control, PI Control and Fuzzy Logic Control Comparison Applied to a Fixed Speed Horizontal Axis 1.5 MW Wind Turbine
    Torres Salomao, Luis Alberto
    Gamez Cuatzin, Hugo
    Anzurez Marin, Juan
    Lazar Castillo, Isidro I.
    [J]. WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2012, VOL II, 2012, : 1181 - 1186
12345