Paper Title:
Application of Particle Swarm Optimization Approach to Optimal Tuning of Load Frequency Controller
  Abstract

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
A.O. Akii Ibhadode, I.A. Igbafe and B.U. Anyata
Pages
60-66
DOI
10.4028/www.scientific.net/AMR.62-64.60
Citation
G.A. Bakare, A.K. Inyanda, M. Kunduli, "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
$32.00
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