Variable Pitch Controller Design Based Swarm Particle Optimizing Clonal Algorithm for Wind Power Generation System

Qiang Wang; Jian Sun; Jian Xiu Xiao

doi:10.4028/www.scientific.net/AMM.135-136.1108

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 135-136Variable Pitch Controller Design Based Swarm...

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.

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Periodical:

Applied Mechanics and Materials (Volumes 135-136)

Pages:

1108-1113

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.135-136.1108

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Online since:

October 2011

Authors:

Qiang Wang, Jian Sun, Jian Xiu Xiao

Keywords:

Clone Selection, Particle Swarm Optimization Algorithm (PSO), Variable Pitch Control, Wind Power Generation System

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