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Article:An Adaptive Particle Swarm Optimization Applied to Optimum Controller Design for AVR Power Systems

by M. Pourmahmood Aghababa, A.M. Shotorbani, R. M. Shotorbani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 11 - Number 10
Year of Publication: 2010
Authors: M. Pourmahmood Aghababa, A.M. Shotorbani, R. M. Shotorbani
10.5120/1618-2176

M. Pourmahmood Aghababa, A.M. Shotorbani, R. M. Shotorbani . Article:An Adaptive Particle Swarm Optimization Applied to Optimum Controller Design for AVR Power Systems. International Journal of Computer Applications. 11, 10 ( December 2010), 22-29. DOI=10.5120/1618-2176

@article{ 10.5120/1618-2176,
author = { M. Pourmahmood Aghababa, A.M. Shotorbani, R. M. Shotorbani },
title = { Article:An Adaptive Particle Swarm Optimization Applied to Optimum Controller Design for AVR Power Systems },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 11 },
number = { 10 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume11/number10/1618-2176/ },
doi = { 10.5120/1618-2176 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:00:12.516213+05:30
%A M. Pourmahmood Aghababa
%A A.M. Shotorbani
%A R. M. Shotorbani
%T Article:An Adaptive Particle Swarm Optimization Applied to Optimum Controller Design for AVR Power Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 11
%N 10
%P 22-29
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes an improved version of particle swarm optimization (PSO) method, called adaptive particle swarm optimization (APSO), for solving engineering optimization problems especially in power system fields. This algorithm uses a novel PSO algorithm to increase convergence rate and avoid being trapped in local optimum. The APSO algorithm efficiency is verified using some benchmark functions. Numerical simulation results demonstrate that the APSO is fast and has much less computational cost. Then, the proposed APSO method is used for determining the parameters of the optimal proportional-integral-derivative (PID) controller for an AVR power system. The proposed approach has superior features including easy implementation, stable and fast convergence characteristics and good computational efficiency. Also, the proposed method is indeed more efficient and robust in improving the step response of the AVR system.

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Index Terms

Computer Science
Information Sciences

Keywords

Particle Swarm Optimization Fast Convergence Local Optimum PID Controller AVR Power System