Optimal control based RST controller for Maximum Power Point Tracking of Wind Energy Conversion System

被引：0
|
作者：
Soufi, Y. [1 ]
Kahla, S. [2 ]
Sedraoui, M. [2 ]
Bechouat, M. [2 ]
机构：
[1] Univ Larbi Tebessi, Dept Elect Engn, Labget Lab, Tebessa, Algeria
[2] Univ 8 May 1945 Guelma, Dept Elect & Telecommun, Guelma, Algeria
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA) | 2016年
关键词：
Wind energy conversion system; Induction generator (IG); LQ optimal control; RST controller; TURBINE;
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：
This paper presents an LQ optimal control based RST controller for maximum power tracking in a wind energy conversion system (WECS) connected to the electrical grid through a back-to-back converter. Input-output discrete WECS model has been used to implement the input-output optimal control approach. The performance criterion has two terms: the first one is involved for maximum power tracking and the other one for the mechanical fatigue loading (control input) minimization. The obtained simulation results with the considered control and a variable wind profile show an adequate dynamic of the considered conversion system.
引用
收藏
页码：1168 / 1172
页数：5
相关论文
共 50 条
  • [31] Design of a chaos synchronisation-based maximum power tracking controller for a wind-energy-conversion system
    Zhan, Tung-Sheng
    Chen, Jian Liung
    Chen, Shi-Jaw
    Huang, Cong-Hui
    Lin, Chia-Hung
    IET RENEWABLE POWER GENERATION, 2014, 8 (06) : 590 - 597
  • [32] Maximum power point tracking control based on combined MPC for the wind energy conversion system with permanent magnet synchronous generator
    Shi, Yanqiu
    Li, Shengquan
    Li, Juan
    Wu, Yuanwang
    Wang, Ziniu
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2018, : 288 - 293
  • [33] Reinforcement-Learning-Based Intelligent Maximum Power Point Tracking Control for Wind Energy Conversion Systems
    Wei, Chun
    Zhang, Zhe
    Qiao, Wei
    Qu, Liyan
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (10) : 6360 - 6370
  • [34] Maximum Power Point Tracking of Wind Energy Conversion Systems Based on Sliding Mode Extremum Seeking Control
    Pan, Tinglong
    Ji, Zhicheng
    Hang, Zhenhua
    2008 IEEE ENERGY 2030 CONFERENCE, 2008, : 279 - +
  • [35] Maximum power point tracking control for wind energy conversion systems considering loss torque
    Zhu, Ying
    Cheng, Ming
    Hua, Wei
    Zhang, Bangfu
    Wang, Wei
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2013, 33 (19): : 39 - 46
  • [36] A New Adaptive Control Algorithm for Maximum Power Point Tracking for Wind Energy Conversion Systems
    Hui, Joanne
    Bakhshai, Alireza
    2008 IEEE POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-10, 2008, : 4003 - 4007
  • [37] Maximum power point tracker of wind energy conversion system
    Kesraoui, M.
    Korichi, N.
    Belkadi, A.
    RENEWABLE ENERGY, 2011, 36 (10) : 2655 - 2662
  • [38] Comparison of Speed Control Strategies for Maximum Power Tracking in a Wind Energy Conversion System
    Zaragoza, J.
    Staines, C. Spiteri
    Arias, A.
    Pou, J.
    Robles, E.
    Ceballos, S.
    MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, 2010, : 961 - 966
  • [39] Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for Wind Energy Conversion System
    Abdullah, M. A.
    Yatim, A. H. M.
    Tan, C. W.
    Samosir, A. S.
    2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), 2012, : 65 - 70
  • [40] An online Optimum-Relation-Based Maximum Power Point Tracking Algorithm for Wind Energy Conversion System
    Abdullah, M. A.
    Yatim, A. H. M.
    Tan, C. W.
    2014 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2014,
12345