A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system

Abstract One of the characteristics of a robust power grid is minimal variations in its frequency to load change or loss in generating unit(s). From the perspective of optimal control theory, the issue of load frequency control in the context of the interconnected functioning of power systems is inv...

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Main Authors: Ebunle Akupan Rene, Willy Stephen Tounsi Fokui
Format: Article
Language:English
Published: SpringerOpen 2023-08-01
Series:Journal of Engineering and Applied Science
Subjects:
Online Access:https://doi.org/10.1186/s44147-023-00271-z
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author Ebunle Akupan Rene
Willy Stephen Tounsi Fokui
author_facet Ebunle Akupan Rene
Willy Stephen Tounsi Fokui
author_sort Ebunle Akupan Rene
collection DOAJ
description Abstract One of the characteristics of a robust power grid is minimal variations in its frequency to load change or loss in generating unit(s). From the perspective of optimal control theory, the issue of load frequency control in the context of the interconnected functioning of power systems is investigated in this work, and a novel load frequency controller is proposed for a single area isolated power network. This novelty incorporates all the primary characteristics of the solutions that are based on a mixture of optimal controller designs by establishing a linear quadratic regulator optimized with quantum particle swarm optimization to design a proportional integral derivative (PID) controller unlike the conventional PID controller designs that are based on a combined Ziegler-Nichols and root locus (ZN-RL) method and manual tuning. The simulation results of the proposed controller using MATLAB show its efficacy in not only ensuring that there is no steady-state error in terms of the system frequency with load changes but also in achieving smoother transients. Following these landmark achievements, a transfer function model of the resulting power grid is constructed. The outcome of the model reveals that the system transients have been improved while keeping the intended steady-state characteristics. Furthermore, it is observed that the proposed load frequency controller has the best performance when compared with the combined ZN-RL method and the manual PID designs. This, therefore, demonstrates the superiority of the proposed design for load frequency control in power systems.
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spelling doaj.art-a964d19933764fa4976b86d24b2c15e52023-11-26T13:27:50ZengSpringerOpenJournal of Engineering and Applied Science1110-19032536-95122023-08-0170112210.1186/s44147-023-00271-zA quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power systemEbunle Akupan Rene0Willy Stephen Tounsi Fokui1Department of Electrical and Electronic Engineering, Catholic University of Central Africa (UCAC-ICAM)Teleconnect GmbHAbstract One of the characteristics of a robust power grid is minimal variations in its frequency to load change or loss in generating unit(s). From the perspective of optimal control theory, the issue of load frequency control in the context of the interconnected functioning of power systems is investigated in this work, and a novel load frequency controller is proposed for a single area isolated power network. This novelty incorporates all the primary characteristics of the solutions that are based on a mixture of optimal controller designs by establishing a linear quadratic regulator optimized with quantum particle swarm optimization to design a proportional integral derivative (PID) controller unlike the conventional PID controller designs that are based on a combined Ziegler-Nichols and root locus (ZN-RL) method and manual tuning. The simulation results of the proposed controller using MATLAB show its efficacy in not only ensuring that there is no steady-state error in terms of the system frequency with load changes but also in achieving smoother transients. Following these landmark achievements, a transfer function model of the resulting power grid is constructed. The outcome of the model reveals that the system transients have been improved while keeping the intended steady-state characteristics. Furthermore, it is observed that the proposed load frequency controller has the best performance when compared with the combined ZN-RL method and the manual PID designs. This, therefore, demonstrates the superiority of the proposed design for load frequency control in power systems.https://doi.org/10.1186/s44147-023-00271-zLoad frequencyTransfer functionLinear quadratic regulatorParticle swarm optimizationPID controllerZiegler-Nichols
spellingShingle Ebunle Akupan Rene
Willy Stephen Tounsi Fokui
A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
Journal of Engineering and Applied Science
Load frequency
Transfer function
Linear quadratic regulator
Particle swarm optimization
PID controller
Ziegler-Nichols
title A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
title_full A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
title_fullStr A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
title_full_unstemmed A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
title_short A quantum particle swarm optimization-based optimal LQR-PID controller for load frequency control of an isolated power system
title_sort quantum particle swarm optimization based optimal lqr pid controller for load frequency control of an isolated power system
topic Load frequency
Transfer function
Linear quadratic regulator
Particle swarm optimization
PID controller
Ziegler-Nichols
url https://doi.org/10.1186/s44147-023-00271-z
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