On the rejection of internal and external disturbances in a wind energy conversion system with direct-driven PMSG

被引:61
作者
Li, Shengquan [1 ,2 ]
Zhang, Kezhao [1 ]
Li, Juan [1 ]
Liu, Chao [1 ]
机构
[1] Yangzhou Univ, Sch Hydraul Energy & Power Engn, Yangzhou 225127, Jiangsu, Peoples R China
[2] Yangzhou Univ, Jiangsu Prov Key Lab Hydrodynam Engn, Yangzhou 225029, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Permanent magnet synchronous generator; Maximum power tracking; Active disturbance rejection controller; Wind energy conversion system; Model-compensation; DIRECT-TORQUE CONTROL; CONTROLLER; GENERATOR;
D O I
10.1016/j.isatra.2015.12.014
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the critical issue in a wind energy conversion system (WECS) based on a direct driven permanent magnet synchronous generator (PMSG): the rejection of lumped disturbance, including the system uncertainties in the internal dynamics and unknown external forces. To simultaneously track the motor speed in real time and capture the maximum power, a maximum power point tracking strategy is proposed based on active disturbance rejection control (ADRC) theory. In real application, system inertia, drive torque and some other parameters change in a wide range with the variations of disturbances and wind speeds, which substantially degrade the performance of WECS. The ADRC design must incorporate the available model information into an extended state observer (ESO) to compensate the lumped disturbance efficiently. Based on this principle, a model-compensation ADRC is proposed in this paper. Simulation study is conducted to evaluate the performance of the proposed control strategy. It is shown that the effect of lumped disturbance is compensated in a more effective way compared with the traditional ADRC approach. (C) 2015 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:95 / 103
页数:9
相关论文
共 41 条
[1]   Improved direct torque control of an induction generator used in a wind conversion system connected to the grid [J].
Abdelli, Radia ;
Rekioua, Djamila ;
Rekioua, Toufik ;
Tounzi, Abdelmounaim .
ISA TRANSACTIONS, 2013, 52 (04) :525-538
[2]  
[Anonymous], IEEE T AUTOM CONTROL
[3]  
Chen J, 1999, ROBUST MODEL BASED F, P375
[4]  
Chen JW, 2009, IEEE T IND ELECTRON, V61, P4022
[5]   A Review of the State of the Art of Power Electronics for Wind Turbines [J].
Chen, Zhe ;
Guerrero, Josep M. ;
Blaabjerg, Frede .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2009, 24 (08) :1859-1875
[6]   Offset-Free Predictive Control for Variable Speed Wind Turbines [J].
Dang, D. Q. ;
Wang, Y. ;
Cai, W. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (01) :2-10
[7]   Sensor less adaptive output feedback control of wind energy systems with PMS generators [J].
El Magri, A. ;
Giri, F. ;
Besancon, G. ;
El Fadili, A. ;
Dugard, L. ;
Chaoui, F. Z. .
CONTROL ENGINEERING PRACTICE, 2013, 21 (04) :530-543
[8]   Neural-network-based model reference adaptive systems for high-performance motor drives and motion controls [J].
Elbuluk, ME ;
Tong, L ;
Husain, I .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2002, 38 (03) :879-886
[9]   On the centrality of disturbance rejection in automatic control [J].
Gao, Zhiqiang .
ISA TRANSACTIONS, 2014, 53 (04) :850-857
[10]  
Gao ZQ, 2003, P AMER CONTR CONF, P4989