Application of Particle Swarm Optimization Approach to Optimal Tuning of Load Frequency Controller

Abstract:

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The task of load frequency controller (LFC) is to maintain the area generation–demand balance by adjusting the outputs on regulating units in response to deviations of frequency and tie-line power exchange. In this paper, the gain of an integral controller for a two area interconnected power system is designed based on the particle swarm optimization (PSO) technique. PSO is a population based stochastic optimization technique derived from simulation of simplified social model. Simulation results on a two area network revealed that the proposed approach optimizes the parameter of integral controller by selecting the optimal gain, which dampens the frequency oscillations and change in tie-line power to zero following a step disturbance.

Info:

Periodical:

Advanced Materials Research (Volumes 62-64)

Edited by:

Prof. A.O. Akii Ibhadode, A.I. Igbafe and B.U. Anyata

Pages:

60-66

DOI:

10.4028/www.scientific.net/AMR.62-64.60

Citation:

G.A. Bakare et al., "Application of Particle Swarm Optimization Approach to Optimal Tuning of Load Frequency Controller", Advanced Materials Research, Vols. 62-64, pp. 60-66, 2009

Online since:

February 2009

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Price:

$35.00

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