Adaptive second order sliding mode control of doubly fed induction generator in wind energy conversion system

被引:15
作者
Dash, P. K. [1 ]
Patnaik, R. K. [1 ]
机构
[1] Siksha O Anusandhan Univ, Dept Elect Engn, Bhubaneswar 751030, Orissa, India
关键词
ROBUST POWER-CONTROL; DYNAMIC PERFORMANCE; TURBINE; IMPROVEMENT;
D O I
10.1063/1.4899193
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A dynamic synchronous d-q reference frame based modeling and a novel adaptive higher order sliding mode control theory for doubly fed induction generator (DFIG) based wind energy conversion system (WECS) have been proposed in this paper. As depicted from the literature, the sliding mode control strategy involving computation of converter currents introduces some inaccuracies for optimal extraction of the power references of the DFIG. On the contrary, the proposed method contributes with some important features such as chatter-free performance and heftiness in terms of transient response of the non-linear systems subjected to dynamic conditions such as lower and higher wind speeds. Consequently, a higher order sliding mode controller using the active and reactive power of the DFIG as controller inputs has been proposed in this paper. As compared with the other two methods, the proposed higher order sliding mode power control souvenirs a significantly improved as well as stable performance of the DFIG based WECS in terms of reduced settling time as well as quickly damping out the oscillations exhibited by the system. The robustness and stability of the proposed control strategy has been validated in MATLAB environment, in terms of the comparison of its performance with traditional proportional-integral and existing first-order sliding mode controller (employing converter current as input) subjected to a wide range of disturbances for sub and super synchronous mode of operation of the DFIG subjected to lower and higher wind speeds along with the available practical wind speed data, as depicted in the simulation and result section. (C) 2014 AIP Publishing LLC.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Grid Ancillary Services From Doubly Fed Induction Generator-Based Wind Energy Conversion System: A Review
    Debouza, Mahdi
    Al-Durra, Ahmed
    IEEE ACCESS, 2019, 7 : 7067 - 7081
  • [22] Efficiency Increase in a Wind System with Doubly Fed Induction Generator
    Karakasis, Nektarios
    Jabbour, Nikolaos
    Tsioumas, Evaggelos
    Mademlis, Christos
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 4091 - 4096
  • [23] A Highly Effective Fault-Ride-Through Strategy for a Wind Energy Conversion System With a Doubly Fed Induction Generator
    Jabbour, Nikolaos
    Tsioumas, Evangelos
    Mademlis, Christos
    Solomin, Evgeny
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (08) : 8154 - 8164
  • [24] Robust Control for a Complete Wind Energy Conversion System Via High Order Sliding Mode
    Roberto Rosas, J.
    Canedo, Jose M.
    Loukianov, Alexander G.
    2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 4411 - 4416
  • [25] A sensorless control strategy for automatic start-up and grid-synchronization of doubly fed induction generator in wind energy conversion system
    Rauth, Sheshadri Shekhar
    Kastha, Debaprasad
    Bajpai, Prabodh
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 2024, 52 (04) : 1733 - 1753
  • [26] Second-Order Fast Terminal Sliding Mode Control for MPPT of PMSG-based Wind Energy Conversion System
    Dursun, Emre Hasan
    Kulaksiz, Ahmet Afsin
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2020, 26 (04) : 39 - 45
  • [27] Super-twisting sliding mode control for brushless doubly fed induction generator based on WECS
    Moussa, Oussama
    Abdessemed, Rachid
    Benaggoune, Said
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2019, 10 (05) : 1145 - 1157
  • [28] Bacteria foraging optimisation algorithm based optimal control for doubly-fed induction generator wind energy system
    Bakir, Hale
    Merabet, Adel
    Dhar, Rupak Kanti
    Kulaksiz, Ahmet Afsin
    IET RENEWABLE POWER GENERATION, 2020, 14 (11) : 1850 - 1859
  • [29] Study of a double fed induction generator using matrix converter: Case of wind energy conversion system
    Becloud, K.
    Rhif, A.
    Bahi, T.
    Merabet, H.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2018, 43 (25) : 11432 - 11441
  • [30] Optimized deep learning neural network model for doubly fed induction generator in wind energy conversion systems
    Rajasingam, N.
    Rasi, D.
    Deepa, S. N.
    SOFT COMPUTING, 2019, 23 (18) : 8453 - 8470