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.
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页数:13
相关论文
共 81 条
  • [1] Abdullah MA, 2014, AUSTR UNIV POWER ENG
  • [2] Abdullah MA, 2012, 2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), P65, DOI 10.1109/PECon.2012.6450296
  • [3] A review of maximum power point tracking algorithms for wind energy systems
    Abdullah, M. A.
    Yatim, A. H. M.
    Tan, C. W. A.
    Saidur, R.
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2012, 16 (05) : 3220 - 3227
  • [4] Ackermann T, 2005, WIND POWER IN POWER SYSTEMS, P1, DOI 10.1002/0470012684
  • [5] Improvement in Perturb and Observe Method Using State Flow Approach
    Ahmed, Rana
    Namaane, A.
    M'Sirdi, N. K.
    [J]. MEDITERRANEAN GREEN ENERGY FORUM 2013: PROCEEDINGS OF AN INTERNATIONAL CONFERENCE MGEF-13, 2013, 42 : 614 - 623
  • [6] [Anonymous], 2008, P IEA TOP EXP M APPL
  • [7] [Anonymous], 2012, P IFAC C ADV PID CON
  • [8] [Anonymous], 2013, P ANN C EXH EUR WIND
  • [9] [Anonymous], 2011, P INT C EL MACH SYST
  • [10] [Anonymous], 2012, P INN SMART GRID TEC