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
下载
收藏
页数:4
相关论文
共 50 条
  • [1] Overview of Maximum Power Point Tracking Control Method for Wind Power Generation System
    Yu Li
    Li Chengxin
    3RD INTERNATIONAL CONFERENCE ON AUTOMATION, CONTROL AND ROBOTICS ENGINEERING (CACRE 2018), 2018, 428
  • [2] New Fuzzy Control System Design for Maximum Power Point Tracking of Wind Turbine
    Heydari-doostabad, Hamed
    Keypour, Reza
    Eskandarian, Naser
    Khalghani, Mohammadreza
    2013 18TH CONFERENCE ON ELECTRICAL POWER DISTRIBUTION NETWORKS (EPDC), 2013,
  • [3] Maximum Power Point Tracking for Wind Generator System Using Sliding Mode Control
    Alsumiri, M. A.
    Tang, W. H.
    Wu, Q. H.
    2013 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2013,
  • [4] Sliding Mode Extremum Seeking Control for Maximum Power Point Tracking in Wind System
    Shen, Dan
    Khayyer, Pardis
    Izadian, Afshin
    2016 IEEE POWER AND ENERGY CONFERENCE AT ILLINOIS (PECI), 2016,
  • [5] Research on maximum power point tracking of wind power generation system based on fuzzy inference optimal gradient
    Zhang, Xiuling
    Tan, Guangzhong
    Zhang, Shaoyu
    Dou, Chunxia
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2011, 31 (02): : 119 - 123
  • [6] Maximum power point tracking with nonlinear disturbance rejection control for DPMSG wind power generation system
    Fang Y.
    Zeng Z.
    Liu Q.
    Wang K.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (05): : 145 - 151
  • [7] Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system
    Ullah, Kifayat
    Ishaq, Muhammad
    Tchier, Fairouz
    Ahmad, Hijaz
    Ahmad, Zubair
    RESULTS IN ENGINEERING, 2023, 20
  • [8] Intelligent speed sensorless maximum power point tracking control for wind generation system
    Chen, Chiung Hsing
    Hong, Chih-Ming
    Cheng, Fu-Sheng
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 42 (01) : 399 - 407
  • [9] Robust Adaptive Control of Maximum Power Point Tracking for Wind Power System
    Chen, Peng
    Han, Dezhi
    Li, Kuan-Ching
    IEEE ACCESS, 2020, 8 : 214538 - 214550
  • [10] A Fuzzy Control Maximum Power Point Tracking Photovoltaic System
    Purnama, Irwan
    Lo, Yu-Kang
    Chiu, Huang-Jen
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 2432 - 2439