Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems

Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to m...

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Autores principales:	N. Anwar, A. Hanif, M.U. Ali, A. Zafar
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2021
Materias:	proportional integral derivative (pid) tuning chaotic particle swarm optimization (cpso) robustness analysis automatic voltage regulator (avr) transient response Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/ca09d5ca06ee460aa3b50cf7a58fd531
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spelling	oai:doaj.org-article:ca09d5ca06ee460aa3b50cf7a58fd5312021-12-02T16:18:39ZChaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems10.20998/2074-272X.2021.1.082074-272X2309-3404https://doaj.org/article/ca09d5ca06ee460aa3b50cf7a58fd5312021-02-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/225187/225159https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to maintain its terminal voltage at rated voltage. Several control techniques utilized to improve the response of the automatic voltage regulator system, however, proportional integral derivative (PID) controller is the most frequently used controller but its parameters require optimization. Novelty. In this paper, the chaotic sequence based on the logistic map is hybridized with particle swarm optimization to find the optimal parameters of the PID for the automatic voltage regulator system. The logistic map chaotic sequence-based initialization and global best selection enable the algorithm to escape from local minima stagnation and improve its convergence rate resulting in best optimal parameters. Purpose. The main objective of the proposed approach is to improve the transient response of the automatic voltage regulator system by minimizing the maximum overshoot, settling time, rise time, and peak time values of the terminal voltage, and eliminating the steady-state error. Methods. In the process of parameter tuning, the Chaotic particle swarm optimization technique was run several times through the proposed hybrid objective function, which accommodates the advantages of the two most commonly used objective functions with a minimum number of iterations, and an optimal PID gain value was found. The proposed algorithm is compared with current metaheuristic algorithms including conventional particle swarm optimization, improved kidney algorithm, and others. Results. For performance evaluation, the characteristics of the integral of time multiplied squared error and Zwe-Lee Gaing objective functions are combined. Furthermore, the time-domain analysis, frequency-domain analysis, and robustness analysis are carried out to show the better performance of the proposed algorithm. The result shows that automatic voltage regulator tuned with the chaotic particle swarm optimization based PID yield improvement in overshoot, settling time, and function value of 14.41 %, 37.91 %, 1.73 % over recently proposed IKA, and 43.55 %, 44.5 %, 16.67 % over conventional particle swarm optimization algorithms. The improvement in transient response further improves the automatic voltage regulator system stability for electrical power systems.N. AnwarA. HanifM.U. AliA. ZafarNational Technical University "Kharkiv Polytechnic Institute"articleproportional integral derivative (pid) tuningchaotic particle swarm optimization (cpso)robustness analysisautomatic voltage regulator (avr)transient responseElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 1, Pp 50-59 (2021)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	proportional integral derivative (pid) tuning chaotic particle swarm optimization (cpso) robustness analysis automatic voltage regulator (avr) transient response Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	proportional integral derivative (pid) tuning chaotic particle swarm optimization (cpso) robustness analysis automatic voltage regulator (avr) transient response Electrical engineering. Electronics. Nuclear engineering TK1-9971 N. Anwar A. Hanif M.U. Ali A. Zafar Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
description	Introduction. In an electrical power system, the output of the synchronous generators varies due to disturbances or sudden load changes. These variations in output severely affect power system stability and power quality. The synchronous generator is equipped with an automatic voltage regulator to maintain its terminal voltage at rated voltage. Several control techniques utilized to improve the response of the automatic voltage regulator system, however, proportional integral derivative (PID) controller is the most frequently used controller but its parameters require optimization. Novelty. In this paper, the chaotic sequence based on the logistic map is hybridized with particle swarm optimization to find the optimal parameters of the PID for the automatic voltage regulator system. The logistic map chaotic sequence-based initialization and global best selection enable the algorithm to escape from local minima stagnation and improve its convergence rate resulting in best optimal parameters. Purpose. The main objective of the proposed approach is to improve the transient response of the automatic voltage regulator system by minimizing the maximum overshoot, settling time, rise time, and peak time values of the terminal voltage, and eliminating the steady-state error. Methods. In the process of parameter tuning, the Chaotic particle swarm optimization technique was run several times through the proposed hybrid objective function, which accommodates the advantages of the two most commonly used objective functions with a minimum number of iterations, and an optimal PID gain value was found. The proposed algorithm is compared with current metaheuristic algorithms including conventional particle swarm optimization, improved kidney algorithm, and others. Results. For performance evaluation, the characteristics of the integral of time multiplied squared error and Zwe-Lee Gaing objective functions are combined. Furthermore, the time-domain analysis, frequency-domain analysis, and robustness analysis are carried out to show the better performance of the proposed algorithm. The result shows that automatic voltage regulator tuned with the chaotic particle swarm optimization based PID yield improvement in overshoot, settling time, and function value of 14.41 %, 37.91 %, 1.73 % over recently proposed IKA, and 43.55 %, 44.5 %, 16.67 % over conventional particle swarm optimization algorithms. The improvement in transient response further improves the automatic voltage regulator system stability for electrical power systems.
format	article
author	N. Anwar A. Hanif M.U. Ali A. Zafar
author_facet	N. Anwar A. Hanif M.U. Ali A. Zafar
author_sort	N. Anwar
title	Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
title_short	Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
title_full	Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
title_fullStr	Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
title_full_unstemmed	Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems
title_sort	chaotic-based particle swarm optimization algorithm for optimal pid tuning in automatic voltage regulator systems
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2021
url	https://doaj.org/article/ca09d5ca06ee460aa3b50cf7a58fd531
work_keys_str_mv	AT nanwar chaoticbasedparticleswarmoptimizationalgorithmforoptimalpidtuninginautomaticvoltageregulatorsystems AT ahanif chaoticbasedparticleswarmoptimizationalgorithmforoptimalpidtuninginautomaticvoltageregulatorsystems AT muali chaoticbasedparticleswarmoptimizationalgorithmforoptimalpidtuninginautomaticvoltageregulatorsystems AT azafar chaoticbasedparticleswarmoptimizationalgorithmforoptimalpidtuninginautomaticvoltageregulatorsystems
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Chaotic-based particle swarm optimization algorithm for optimal PID tuning in automatic voltage regulator systems

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