Power capture optimization of variable-speed wind turbines using an output feedback controller

被引:57
|
作者
Asl, Hamed Jabbari [1 ]
Yoon, Jungwon [1 ]
机构
[1] Gyeongsang Natl Univ, Sch Mech & Aerosp Engn & ReCAPT, Robots & Intelligent Syst Lab, Jinju Si, Gyeongsangnam D, South Korea
基金
新加坡国家研究基金会;
关键词
Variable-speed wind turbine; Output feedback control; Robust control; Uncertainty; DESIGN; SYSTEM; TRACKING;
D O I
10.1016/j.renene.2015.08.040
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
One of the major factors that can increase the efficiency of wind turbines is through control of the rotor speed to track the optimal value. A high performance controller can significantly increase the amount of energy that can be captured from wind. The main problem associated with controller design is the presence of uncertainties in the dynamic model of the system, which can be associated with unknown constant parameters and/or unmodeled dynamics such as external disturbances, several adaptive and robust control approaches have been developed to account for these uncertainties. In this paper, a robust controller is presented that compensates for both types of uncertainties; the full mechanical and electrical dynamics of the turbine are considered. These dynamics require acceleration of the rotor to provide feedback information which is not available in sufficiently accurate form during practice. Therefore, in this approach, an observer estimates this information using the speed of the rotor as the output, with the estimation error considered during the stability analysis. This presents one of the main advantages of the approach; the simulation results illustrate the effectiveness of the controller. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:517 / 525
页数:9
相关论文
共 50 条
  • [1] An optimal fuzzy PI controller to capture the maximum power for variable-speed wind turbines
    Sheikhan, Mansour
    Shahnazi, Reza
    Yousefi, Ali Nooshad
    [J]. NEURAL COMPUTING & APPLICATIONS, 2013, 23 (05): : 1359 - 1368
  • [2] An optimal fuzzy PI controller to capture the maximum power for variable-speed wind turbines
    Mansour Sheikhan
    Reza Shahnazi
    Ali Nooshad Yousefi
    [J]. Neural Computing and Applications, 2013, 23 : 1359 - 1368
  • [3] Adaptive control of variable-speed wind turbines for power capture optimisation
    Asl, Hamed Jabbari
    Yoon, Jungwon
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2017, 39 (11) : 1663 - 1672
  • [4] Aerodynamic optimization for variable-speed wind turbines based on wind energy capture efficiency
    Yin, Minghui
    Yang, Zhiqiang
    Xu, Yan
    Liu, Jiankun
    Zhou, Lianjun
    Zou, Yun
    [J]. APPLIED ENERGY, 2018, 221 : 508 - 521
  • [5] Power Control Design for Variable-Speed Wind Turbines
    Vidal, Yolanda
    Acho, Leonardo
    Luo, Ningsu
    Zapateiro, Mauricio
    Pozo, Francesc
    [J]. ENERGIES, 2012, 5 (08) : 3033 - 3050
  • [6] Nonlinear control of variable-speed wind turbines for generator torque limiting and power optimization
    Boukhezzar, B.
    Siguerdidjane, H.
    Hand, M. Maureen
    [J]. JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME, 2006, 128 (04): : 516 - 530
  • [7] Multimodel LQ controller design for variable-speed and variable pitch wind turbines at high wind speeds
    Khezami, Nadhira
    Guillaud, Xavier
    Braiek, Naceur Benhadj
    [J]. INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2012, 15 (02) : 117 - 124
  • [8] Multimodel LQ controller design for variable-speed and variable pitch wind turbines at high wind speeds
    Khezami, Nadhira
    Guillaud, Xavier
    Braiek, Naceur Benhadj
    [J]. 2009 6TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS AND DEVICES, VOLS 1 AND 2, 2009, : 227 - +
  • [9] An adaptive neuro-fuzzy inertia controller for variable-speed wind turbines
    Hafiz, Faizal
    Abdennour, Adel
    [J]. RENEWABLE ENERGY, 2016, 92 : 136 - 146
  • [10] Pitch Control Design for Optimum Energy Capture in Variable-Speed Wind Turbines
    Abdullah, Alshehri
    Fekih, Afef
    [J]. 2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2013,