A nonlinear maximum power point tracking technique for DFIG-based wind energy conversion systems

被引：40
|
作者：
Rezaei, Mohammad Mahdi [1 ]
机构：
[1] Islamic Azad Univ, Dept Elect & Comp Engn, Khomeinishahr Branch, Esfahan, Iran
来源：
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH | 2018年 / 21卷 / 05期
关键词：
Nonlinear control; Backstepping method; Wind energy conversation system (WECS); Doubly fed induction generator (DFIG); Maximum power point tracking (MPPT); Wind turbine; GENERATION SYSTEM; TURBINES; MPPT; CONVERTER; DESIGN; CURVE;
D O I：
10.1016/j.jestch.2018.07.005
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents a nonlinear control method for maximum power point tracking (MPPT) of doubly fed induction generator-based wind energy conversation systems. The proposed control structure is wind speed sensorless and independent from turbine characteristics and parameters such as optimal power-speed curve and optimum tip-speed-ratio. The presented MPPT scheme is designed based on adaptive backstepping control method and shown to be robust and stable against parametric uncertainties and wind speed disturbances. The validity, effectiveness and robustness of the proposed MPPT control method is demonstrated through simulation studies in the MATLAB (R) software environment. (C) 2018 Karabuk University. Publishing services by Elsevier B.V.
引用
收藏
页码：901 / 908
页数：8
相关论文
共 50 条
  • [31] Wind Speed Sensorless Maximum Power Point Tracking Control of Variable Speed Wind Energy Conversion Systems
    Thongam, J. S.
    Bouchard, P.
    Ezzaidi, H.
    Ouhrouche, M.
    2009 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE, VOLS 1-3, 2009, : 1826 - +
  • [32] A Modified perturb-and-observe-based Maximum Power Point Tracking Technique for Photovoltaic Energy Conversion Systems
    Mohammad Mahdi Rezaei
    Hassan Asadi
    Journal of Control, Automation and Electrical Systems, 2019, 30 : 822 - 831
  • [33] Nonlinear control strategies with maximum power point tracking for hybrid renewable energy conversion systems
    Mansouri, Adil
    El Magri, Abdelmounime
    Lajouad, Rachid
    Giri, Fouad
    Watil, Aziz
    ASIAN JOURNAL OF CONTROL, 2024, 26 (02) : 1047 - 1056
  • [34] Coordinated Control of Wind Energy Conversion Systems for Mitigating Subsynchronous Interaction in DFIG-Based Wind Farms
    Karaagac, Ulas
    Faried, Sherif O.
    Mahseredjian, Jean
    Edris, Abdel-Aty
    IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (05) : 2440 - 2449
  • [35] Maximum-Power Tracking of Wind Energy Conversion Systems Based on Fuzzy Algorithms
    Azzouz, Maher
    Elshafei, Abdel-latif
    Emara, Hasan
    2010 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2010, : 481 - 486
  • [36] DFIG-Based Wind Power Conversion With Grid Power Leveling for Reduced Gusts
    Ganti, Vijay Chand
    Singh, Bhim
    Aggarwal, Shiv Kumar
    Kandpal, Tara Chandra
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (01) : 12 - 20
  • [37] A Maximum Power Point Tracking For a PMSG Based Variable Speed Wind Energy Conversion System
    Kumari, Sangeeta
    Kushwaha, Vineet
    Gupta, Tripurari Nath
    2018 INTERNATIONAL CONFERENCE ON POWER ENERGY, ENVIRONMENT AND INTELLIGENT CONTROL (PEEIC), 2018, : 789 - 794
  • [38] Design and Control of Solar-Wind Integrated Conversion System with DFIG for Maximum Power Point Tracking
    Kumar, Arjun G. B.
    Shivashankar
    Keshavamurthy
    2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS ON ELECTRONICS, INFORMATION, COMMUNICATION & TECHNOLOGY (RTEICT-2020), 2020, : 292 - 298
  • [39] Novel Control technique to capture maximum power in wind energy based on DFIG
    Devabhakthuni, Swathi
    Reddy, Venkata Subba C.
    2022 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS, PEDES, 2022,
  • [40] Adaptive fixed-time sensorless maximum power point tracking control scheme for DFIG wind energy conversion system
    Wang, Jie
    Bo, Didi
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 135
12345