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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 350367, 11 pages
http://dx.doi.org/10.1155/2014/350367
Research Article

The Virtual Resistance Control Strategy for HVRT of Doubly Fed Induction Wind Generators Based on Particle Swarm Optimization

School of Electric Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Received 17 January 2014; Revised 9 May 2014; Accepted 25 May 2014; Published 10 July 2014

Academic Editor: Marcelo M. Cavalcanti

Copyright © 2014 Zhen Xie and Xue Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Grid voltage swell will cause transient DC flux component in the doubly fed induction generator (DFIG) stator windings, creating serious stator and rotor current and torque oscillation, which is more serious than influence of the voltage dip. It is found that virtual resistance manages effectively to suppress rotor current and torque oscillation, avoid the operation of crowbar circuit, and enhance its high voltage ride through technology capability. In order to acquire the best virtual resistance value, the excellent particle library (EPL) of dynamic particle swarm optimization (PSO) algorithm is proposed. It takes the rotor voltage and rotor current as two objectives, which has a fast convergence performance and high accuracy. Simulation and experimental results verify the effectiveness of the virtual resistance control strategy.