Paper Title:
Variable Pitch Controller Design Based Swarm Particle Optimizing Clonal Algorithm for Wind Power Generation System
  Abstract

In this paper, a new controller of the pitch angle of the wind turbine is designed based on particle swarm optimizing clonal algorithm(PSOCA), which combined the clonal selection mechanism of the immune system with the evolution equation of particle swarm optimization. The simulation results demonstrate that the proposed controller can efficiently and steady control the output power of the wind power generation system. Compared with the traditional PID controller, the controller has better control performance.

  Info
Periodical
Chapter
Chapter 7: Mechanical & Automation
Edited by
Robin G. Qiu and Yongfeng Ju
Pages
1108-1113
DOI
10.4028/www.scientific.net/AMM.135-136.1108
Citation
Q. Wang, J. Sun, J. X. Xiao, "Variable Pitch Controller Design Based Swarm Particle Optimizing Clonal Algorithm for Wind Power Generation System", Applied Mechanics and Materials, Vols. 135-136, pp. 1108-1113, 2012
Online since
October 2011
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Price
$35.00
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