An overview of control techniques for wind turbine systems

被引:71
|
作者
Apata, O. [1 ]
Oyedokun, D. T. O. [1 ]
机构
[1] Univ Cape Town, Private Bag X3, ZA-7701 Rondebosch, South Africa
关键词
Wind turbine; Wind turbine control; Pitch control; MPPT strategies; POWER POINT TRACKING; ENERGY-CONVERSION SYSTEMS; OF-THE-ART; CONTROL STRATEGIES; PITCH CONTROL; MPPT; ALGORITHMS; MODE; OPTIMIZATION; MITIGATION;
D O I
10.1016/j.sciaf.2020.e00566
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Renewable energy is being embraced globally as a viable alternative to conventional fossil fuels generators. This is in direct response to the challenge of depleting fossil fuel reserves and its impact on environmental pollution. Wind energy has continued to play a significant role and can be regarded as the most deployed renewable energy source, however the efficiency level and cost effectiveness of a wind turbine (WT) system with regards to wind application is very much dependent on its control. This research paper reviews the various control methods associated with wind energy control. More recently there has been an attempt to review these control techniques but the authors have focused more on the maximum power point tracking (MPPT) techniques and pitch angle control of WTs however discussions around stall control of the WT is not presented in these research papers. This review paper presents a detailed review of the various operational control strategies of WTs, the stall control of WTs and the role of power electronics in wind system which have not been documented in previous reviews of WT control. This research aims to serve as a detailed reference for future studies on the control of wind turbine systems. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Adaptive and Predictive Control Strategies for Wind Turbine Systems: A Survey
    Magdi S.Mahmoud
    Mojeed O.Oyedeji
    IEEE/CAAJournalofAutomaticaSinica, 2019, 6 (02) : 364 - 378
  • [32] Adaptive Sliding Mode Control for PMSG Wind Turbine Systems
    Lee, Sung-Won
    Chun, Kwan-Ho
    ENERGIES, 2019, 12 (04)
  • [33] Adaptive Sliding Mode Speed Control for Wind Turbine Systems
    Merabet, Adel
    Beguenane, Rachid
    Thongam, Jogendra S.
    Hussein, Ibrahim
    IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011, : 2461 - 2466
  • [34] Robust Tuning of the Control Loops of DFIG Wind Turbine Systems
    de Oliveira, R. V.
    Zamadei, J. A.
    Hossi, C. H.
    2011 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (CCA), 2011, : 1294 - 1301
  • [35] Wind Turbine Monitoring and Control Systems Using Internet of Things
    Kalyanraj, D.
    Prakash, S. Lenin
    Sabareswar, S.
    2016 INTERNATIONAL CONFERENCE ON 21ST CENTURY ENERGY NEEDS - MATERIALS, SYSTEMS AND APPLICATIONS (ICTFCEN), 2016,
  • [36] Performance enhancement of wind turbine systems with vibration control: A review
    Rahman, Mahmudur
    Ong, Zhi Chao
    Chong, Wen Tong
    Julai, Sabariah
    Khoo, Shin Yee
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 51 : 43 - 54
  • [37] Adaptive and Predictive Control Strategies for Wind Turbine Systems: A Survey
    Mahmoud, Magdi S.
    Oyedeji, Mojeed O.
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 6 (02) : 364 - 378
  • [38] Sensor Fault-Tolerant Control Of Wind Turbine Systems
    Saberi, Amir
    Salmasi, Farzad R.
    Najafabadi, Tooraj Abbasian
    2014 5TH CONFERENCE ON THERMAL POWER PLANTS (CTPP), 2014, : 45 - 50
  • [39] An overview of active load control techniques for wind turbines with an emphasis on microtabs
    Johnson, Scott J.
    Baker, Jonathon P.
    van Dam, C. P.
    Berg, Dale
    WIND ENERGY, 2010, 13 (2-3) : 239 - 253
  • [40] New wind turbine manufacturing techniques
    Sainz, J. A.
    MESIC MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE 2015, 2015, 132 : 880 - 886