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PID controller tuning performance evaluation for an isolated power system

In this work, an isolated power system requiring a Load Frequency Control (LFC) by the application of a PID controller is designed in the MATLAB/Simulink environment. To acquire the PID gain parameters for an optimum dynamic load frequency control, several optimization procedures are applied. Geneti...

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Main Authors: Sabo, Aliyu, Yunus, Bashir, Sani, Eeman, Nwachukwu, Matthew, Auta, Daniel, Danladi, Abdulkadir, Mordi, Michael, Aliyu, Nura, David, Yammai, Oluwadamilare, Paul
Format: Conference or Workshop Item
Published: IEEE 2022
Online Access:http://psasir.upm.edu.my/id/eprint/37117/
https://ieeexplore.ieee.org/document/9929451
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spelling my.upm.eprints.371172023-08-29T04:09:08Z http://psasir.upm.edu.my/id/eprint/37117/ PID controller tuning performance evaluation for an isolated power system Sabo, Aliyu Yunus, Bashir Sani, Eeman Nwachukwu, Matthew Auta, Daniel Danladi, Abdulkadir Mordi, Michael Aliyu, Nura David, Yammai Oluwadamilare, Paul In this work, an isolated power system requiring a Load Frequency Control (LFC) by the application of a PID controller is designed in the MATLAB/Simulink environment. To acquire the PID gain parameters for an optimum dynamic load frequency control, several optimization procedures are applied. Genetic algorithms (GA) and Particle Swarm Optimization (PSO) technique were used to determine the proportional gain (KP), integral gain (KI), and deferential gain (KD) of the controller. Artificial Neural Network (ANN) training was is also caried out for the PID tuning and the comparative analysis of the results obtained shows that the Particle Swarm optimization (PSO) has the best performance, with an overshoot of 0.58 percent and a settling time of 0.52 seconds. IEEE 2022 Conference or Workshop Item PeerReviewed Sabo, Aliyu and Yunus, Bashir and Sani, Eeman and Nwachukwu, Matthew and Auta, Daniel and Danladi, Abdulkadir and Mordi, Michael and Aliyu, Nura and David, Yammai and Oluwadamilare, Paul (2022) PID controller tuning performance evaluation for an isolated power system. In: 2022 IEEE International Conference on Power Systems Technology (POWERCON), 12-14 Sept. 2022, Kuala Lumpur, Malaysia. . https://ieeexplore.ieee.org/document/9929451 10.1109/POWERCON53406.2022.9929451
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description In this work, an isolated power system requiring a Load Frequency Control (LFC) by the application of a PID controller is designed in the MATLAB/Simulink environment. To acquire the PID gain parameters for an optimum dynamic load frequency control, several optimization procedures are applied. Genetic algorithms (GA) and Particle Swarm Optimization (PSO) technique were used to determine the proportional gain (KP), integral gain (KI), and deferential gain (KD) of the controller. Artificial Neural Network (ANN) training was is also caried out for the PID tuning and the comparative analysis of the results obtained shows that the Particle Swarm optimization (PSO) has the best performance, with an overshoot of 0.58 percent and a settling time of 0.52 seconds.
format Conference or Workshop Item
author Sabo, Aliyu
Yunus, Bashir
Sani, Eeman
Nwachukwu, Matthew
Auta, Daniel
Danladi, Abdulkadir
Mordi, Michael
Aliyu, Nura
David, Yammai
Oluwadamilare, Paul
spellingShingle Sabo, Aliyu
Yunus, Bashir
Sani, Eeman
Nwachukwu, Matthew
Auta, Daniel
Danladi, Abdulkadir
Mordi, Michael
Aliyu, Nura
David, Yammai
Oluwadamilare, Paul
PID controller tuning performance evaluation for an isolated power system
author_facet Sabo, Aliyu
Yunus, Bashir
Sani, Eeman
Nwachukwu, Matthew
Auta, Daniel
Danladi, Abdulkadir
Mordi, Michael
Aliyu, Nura
David, Yammai
Oluwadamilare, Paul
author_sort Sabo, Aliyu
title PID controller tuning performance evaluation for an isolated power system
title_short PID controller tuning performance evaluation for an isolated power system
title_full PID controller tuning performance evaluation for an isolated power system
title_fullStr PID controller tuning performance evaluation for an isolated power system
title_full_unstemmed PID controller tuning performance evaluation for an isolated power system
title_sort pid controller tuning performance evaluation for an isolated power system
publisher IEEE
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/37117/
https://ieeexplore.ieee.org/document/9929451
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score 13.223943

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