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...
| Main Authors: | , , , , , , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/37117/ |
| _version_ | 1848848522401546240 |
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| author | Sabo, Aliyu Yunus, Bashir Sani, Eeman Nwachukwu, Matthew Auta, Daniel Danladi, Abdulkadir Mordi, Michael Aliyu, Nura David, Yammai Oluwadamilare, Paul |
| 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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T09:35:50Z |
| format | Conference or Workshop Item |
| id | upm-37117 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:35:50Z |
| publishDate | 2022 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | PID controller tuning performance evaluation for an isolated power system |
| title_sort | pid controller tuning performance evaluation for an isolated power system |
| url | http://psasir.upm.edu.my/id/eprint/37117/ http://psasir.upm.edu.my/id/eprint/37117/ http://psasir.upm.edu.my/id/eprint/37117/ |