Fuzzy Soliding Mode Control for Maximum Power Point Tracking of Wind Power Generation System

被引:0
|
作者
Zhao Liang [1 ]
Han Hualing [1 ]
Chen Ning [1 ]
Zhu Lingzhi [1 ]
机构
[1] State Grid Elect Power Res Inst, Res Inst Clean Energy Generat, Nanjing, Jiangsu, Peoples R China
关键词
wind power generation system; maximum wind power tracking; sliding mode control; fuzzy control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To tackle maximum wind power tracking problems, a fuzzy sliding mode control strategy was developed in this paper. This method established sliding mode surface based on state variable of generator rotational speed and electromagnetic torque, and equivalent control law and switch control law were obtained. Meanwhile, fuzzy rule inference method was proposed based on state of sliding surface to flexible on-off component in order to weaken sliding mode control chattering, and then fuzzy sliding mode control law was gained. Furthermore, optimal operating region of wind turbine was introduced and maximum wind power capture control of a 1.5MW wind power generator unit was studied. The simulation results show that the improved fuzzy sliding mode control can adjust wind turbine rotational speed to follow wind speed accurately, and make wind turbine output power in optimal operating region, with maintaining optimal tip-speed ratio and maximum power coefficient, and reduce mechanical load of the unit under the capture of maximum wind energy.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Fractional sliding mode control of wind turbine for maximum power point tracking
    Ardjal, Aghiles
    Mansouri, Rachid
    Bettayeb, Maamar
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (02) : 447 - 457
  • [22] Variable univers adaptive fuzzy control for maximum power point tracking of photovoltaic generation system
    Wang, Yiwang
    Cao, Fengwen
    Gao, Jinsheng
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2012, 33 (03): : 473 - 477
  • [23] Fuzzy control for maximum power-point tracking of a photovoltaic system
    Ben Safia, Z.
    Allouch, M.
    Harrabi, N.
    Bahloul, M.
    Chaabane, M.
    Aitouche, A.
    2018 7TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2018, : 263 - 269
  • [24] A Maximum Power Point Tracking of PV System by Scaling Fuzzy Control
    Chang, Yuen-Haw
    Chang, Chia-Yu
    INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS (IMECS 2010), VOLS I-III, 2010, : 1212 - 1216
  • [25] Fuzzy Logic Control for the tracking of maximum power point of a PV system
    Bouchafaa, F.
    Hamzaoui, I.
    Hadjammar, A.
    IMPACT OF INTEGRATED CLEAN ENERGY ON THE FUTURE OF THE MEDITERRANEAN ENVIRONMENT, 2011, 6 : 633 - 642
  • [26] Investigation of the control strategy for tracking maximum power point in VSCF wind generation
    Du, Zhiwei
    Zhao, Feng
    Du, Xiaoya
    2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 654 - +
  • [27] Maximum power point tracking algorithms for wind power generation system: Review, comparison and analysis
    Zhang, Xinge
    Jia, Junru
    Zheng, Liming
    Yi, Wenwu
    Zhang, Zhen
    ENERGY SCIENCE & ENGINEERING, 2023, 11 (01) : 430 - 444
  • [28] Research on Control Strategy of Maximum Power Point Tracking of VSCF Wind Generation
    Dai, Wenjin
    Liu, Haijing
    APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3, 2010, 29-32 : 2176 - 2181
  • [29] Terminal sliding mode control for maximum power point tracking of photovoltaic power generation systems
    Chiu, Chian-Song
    Ouyang, Ya-Lun
    Ku, Chan-Yu
    SOLAR ENERGY, 2012, 86 (10) : 2986 - 2995
  • [30] Maximum Power Point Tracking of a Wind Power System Based on The PMSG Using Sliding Mode Direct Torque Control
    Errami, Youssef
    Maaroufi, Mohamed
    Ouassaid, Mohammed
    PROCEEDINGS OF 2013 INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2013, : 218 - 223