Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer
Automatic voltage regulator (AVR) represents the basic voltage regulator loop in power systems. The central part of this loop is the regulator, which has parameters that define the speed of the voltage regulation, quality of responses, and system stability. Furthermore, it has an impact on the excit...
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2021
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oai:doaj.org-article:0c188635e31a40dcac73ba9d74511b152021-11-25T18:12:08ZOptimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer10.3390/machines91102652075-1702https://doaj.org/article/0c188635e31a40dcac73ba9d74511b152021-10-01T00:00:00Zhttps://www.mdpi.com/2075-1702/9/11/265https://doaj.org/toc/2075-1702Automatic voltage regulator (AVR) represents the basic voltage regulator loop in power systems. The central part of this loop is the regulator, which has parameters that define the speed of the voltage regulation, quality of responses, and system stability. Furthermore, it has an impact on the excitation voltage change and value, especially during transients. In this paper, unlike literature approaches, the experimental verifications of the impact of regulator parameters on the excitation voltage and current value are presented. A novel hybrid metaheuristic algorithm for obtaining regulator parameters determination of the AVR system, and a novel regulator design taking into account excitation voltage limitation are presented. The proposed algorithm combines the properties and characteristics of equilibrium optimizer and evaporation rate water cycle algorithms. The proposed algorithm is effective, fast, and accurate. Both experimental and simulation results show that the limitation of the excitation voltage increases the settling time of the generator voltage during reference change. Additionally, the simulation results show that the optimal values of PID parameters are smaller for limited excitation voltage values.Martin ĆalasanMihailo MicevMilovan RadulovićAhmed F. ZobaaHany M. HasanienShady H. E. Abdel AleemMDPI AGarticleautomatic voltage regulatorequilibrium–evaporation rate water cycle algorithmexcitation voltageexperimental testingoptimizationPID parametersMechanical engineering and machineryTJ1-1570ENMachines, Vol 9, Iss 265, p 265 (2021) |
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DOAJ |
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topic |
automatic voltage regulator equilibrium–evaporation rate water cycle algorithm excitation voltage experimental testing optimization PID parameters Mechanical engineering and machinery TJ1-1570 |
spellingShingle |
automatic voltage regulator equilibrium–evaporation rate water cycle algorithm excitation voltage experimental testing optimization PID parameters Mechanical engineering and machinery TJ1-1570 Martin Ćalasan Mihailo Micev Milovan Radulović Ahmed F. Zobaa Hany M. Hasanien Shady H. E. Abdel Aleem Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
description |
Automatic voltage regulator (AVR) represents the basic voltage regulator loop in power systems. The central part of this loop is the regulator, which has parameters that define the speed of the voltage regulation, quality of responses, and system stability. Furthermore, it has an impact on the excitation voltage change and value, especially during transients. In this paper, unlike literature approaches, the experimental verifications of the impact of regulator parameters on the excitation voltage and current value are presented. A novel hybrid metaheuristic algorithm for obtaining regulator parameters determination of the AVR system, and a novel regulator design taking into account excitation voltage limitation are presented. The proposed algorithm combines the properties and characteristics of equilibrium optimizer and evaporation rate water cycle algorithms. The proposed algorithm is effective, fast, and accurate. Both experimental and simulation results show that the limitation of the excitation voltage increases the settling time of the generator voltage during reference change. Additionally, the simulation results show that the optimal values of PID parameters are smaller for limited excitation voltage values. |
format |
article |
author |
Martin Ćalasan Mihailo Micev Milovan Radulović Ahmed F. Zobaa Hany M. Hasanien Shady H. E. Abdel Aleem |
author_facet |
Martin Ćalasan Mihailo Micev Milovan Radulović Ahmed F. Zobaa Hany M. Hasanien Shady H. E. Abdel Aleem |
author_sort |
Martin Ćalasan |
title |
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
title_short |
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
title_full |
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
title_fullStr |
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
title_full_unstemmed |
Optimal PID Controllers for AVR System Considering Excitation Voltage Limitations Using Hybrid Equilibrium Optimizer |
title_sort |
optimal pid controllers for avr system considering excitation voltage limitations using hybrid equilibrium optimizer |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/0c188635e31a40dcac73ba9d74511b15 |
work_keys_str_mv |
AT martincalasan optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer AT mihailomicev optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer AT milovanradulovic optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer AT ahmedfzobaa optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer AT hanymhasanien optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer AT shadyheabdelaleem optimalpidcontrollersforavrsystemconsideringexcitationvoltagelimitationsusinghybridequilibriumoptimizer |
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1718411481597345792 |