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 81 条
  • [71] Modeling of small wind turbines based on PMSG with diode bridge for sensorless maximum power tracking
    Urtasun, Andoni
    Sanchis, Pablo
    San Martin, Idoia
    Lopez, Jesus
    Marroyo, Luis
    [J]. RENEWABLE ENERGY, 2013, 55 : 138 - 149
  • [72] Vasquez S., 2017, IEEE T CONTROL SYST
  • [73] Wagner H., 2018, P63
  • [74] Synthesis on PI-based pitch controller of large wind turbines generator
    Wang, Junsong
    Tse, Norman
    Gao, Zhiwei
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2011, 52 (02) : 1288 - 1294
  • [75] An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems
    Wang, QC
    Chang, LC
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2004, 19 (05) : 1242 - 1249
  • [76] Wind Turbine Power Coefficient Analysis of a New Maximum Power Point Tracking Technique
    Xia, Yuanye
    Ahmed, Khaled H.
    Williams, Barry W.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (03) : 1122 - 1132
  • [77] System frequency regulation in doubly fed induction generators
    Xue Yingcheng
    Tai Nengling
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 43 (01) : 977 - 983
  • [78] Petri Net Model and Reliability Evaluation for Wind Turbine Hydraulic Variable Pitch Systems
    Yang, Xiyun
    Li, Jinxia
    Liu, Wei
    Guo, Peng
    [J]. ENERGIES, 2011, 4 (06): : 978 - 997
  • [79] Design, modeling and implementation of a novel pitch angle control system for wind turbine
    Yin, Xiu-xing
    Lin, Yong-gang
    Li, Wei
    Gu, Ya-jing
    Wang, Xiao-jun
    Lei, Peng-fei
    [J]. RENEWABLE ENERGY, 2015, 81 : 599 - 608
  • [80] Yu Kuo Nan, 2015, J. appl. res. technol, V13, P238