Efficiency optimization of optimum torque maximum power point tracking based on gradient approximation for wind turbine generator system

被引:0
作者
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing [1 ]
102206, China
机构
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing
来源
Zhongguo Dianji Gongcheng Xuebao | / 10卷 / 2367-2374期
关键词
Maximum power point tracking (MPPT); Optimum torque control (OTC); Rotational inertia; Small signal model; Wind turbine generator system (WTGS);
D O I
10.13334/j.0258-8013.pcsee.2015.10.001
中图分类号
学科分类号
摘要
The efficiency of the conventional optimum torque maximum power point tracking (MPPT) algorithm is reduced by large rotational inertia, and the transient time of the control system becomes longer. The problem was analyzed by studying the mechanism of wind turbine. A novel optimum torque MPPT optimization algorithm was proposed to reduce the transient process time caused by high rotational inertia. The solution presented here used gradient estimation to compensate electromagnetic torque reference. A small signal model was presented with a doubly-fed induction generator based wind turbine for the performance analysis of closed-loop poles, step response and frequency-domain characteristics. From the analysis and simulation results, the novel algorithm combines stability of conventional method and high response rate of tip-speed ratio method, and has good stability, dynamic behavior and high efficiency. ©2015 Chin. Soc. for Elec. Eng.
引用
收藏
页码:2367 / 2374
页数:7
相关论文
共 50 条
  • [41] Real-Time Maximum Power Point Tracking Method Based on Three Points Approximation by Digital Controller for PV System
    Kim, Seung-Tak
    Bang, Tae-Ho
    Lee, Seong-Chan
    Park, Jung-Wook
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2014, 9 (05) : 1447 - 1453
  • [42] Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment
    Wang, Meng-Hui
    Huang, Mei-Ling
    Jiang, Wei-Jhe
    ENERGIES, 2016, 9 (02):
  • [43] Application of Swarm Optimization Algorithms for Maximum Power Point Tracking of Photovoltaic System - A comparative study
    Hoang Thi Thom
    JOURNAL OF ELECTRICAL SYSTEMS, 2021, 17 (04) : 542 - 558
  • [44] A NOVEL MAXIMUM POWER POINTS TRACKING (MPPT) OPERATION OF DOUBLY-FED INDUCTION GENERATOR (DFIG) WIND POWER SYSTEM
    Zou, Yu
    Elbuluk, Malik
    Sozer, Yilmaz
    2012 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING (IAS), 2012,
  • [45] Particle Swarm Optimization-Based Control for Maximum Power Point Tracking Implemented in a Real Time Photovoltaic System
    del Rio, Asier
    Barambones, Oscar
    Uralde, Jokin
    Artetxe, Eneko
    Calvo, Isidro
    INFORMATION, 2023, 14 (10)
  • [46] A STUDY ON INTELLIGENT ALGORITHMS FOR MAXIMUM POWER POINT TRACKING IN FIELD OF WIND ENERGY CONVERSION SYSTEM (REVIEW)
    Vinod, Adla
    Kumar, Ashoke
    2014 INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS), 2014,
  • [47] Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG
    Ali El Yaakoubi
    Kamal Attari
    Adel Asselman
    Abdelouahed Djebli
    Frontiers in Energy, 2019, 13 : 742 - 756
  • [48] Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG
    El Yaakoubi, Ali
    Attari, Kamal
    Asselman, Adel
    Djebli, Abdelouahed
    FRONTIERS IN ENERGY, 2019, 13 (04) : 742 - 756
  • [49] An Improved Mechanical Sensorless Maximum Power Point Tracking Method for Permanent-Magnet Synchronous Generator-Based Small Wind Turbines Systems
    Balbino, Anderson Jose
    Nora, Bruno da S.
    Lazzarin, Telles B.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (05) : 4765 - 4775
  • [50] Particle Swarm Based Optimization Algorithm for Maximum Power Point Tracking in Photovoltaic (PV) Systems
    Gavali, Saurabh
    Deshpande, Amruta
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 1583 - 1586