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Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm
In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FD...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678963/ https://www.ncbi.nlm.nih.gov/pubmed/33216787 http://dx.doi.org/10.1371/journal.pone.0242428 |
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author | Daraz, Amil Malik, Suheel Abdullah Haq, Ihsan Ul Khan, Khan Bahadar Laghari, Ghulam Fareed Zafar, Farhan |
author_facet | Daraz, Amil Malik, Suheel Abdullah Haq, Ihsan Ul Khan, Khan Bahadar Laghari, Ghulam Fareed Zafar, Farhan |
author_sort | Daraz, Amil |
collection | PubMed |
description | In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FDO) algorithm is employed for the optimization of proposed controller with various performance criteria including Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE). The effectiveness of the proposed approach has been assessed on a two-area network with individual source including gas, hydro and reheat thermal unit and then collectively with all three sources. Further, to validate the efficacy of the proposed FDO based PID and I-PD controllers, comprehensive comparative performance is carried and compared with other controllers including Differential Evolution based PID (DE-PID) controller and Teaching Learning Based Optimization (TLBO) hybridized with Local Unimodal Sampling (LUS-PID) controller. The comparison of outcomes reveal that the proposed FDO based I-PD (FDO-I-PD) controller provides a significant improvement in respect of Overshoot (Osh), Settling time (Ts), and Undershoot (Ush). The robustness of an I-PD controller is also verified by varying parameter of the system and load variation. |
format | Online Article Text |
id | pubmed-7678963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-76789632020-12-02 Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm Daraz, Amil Malik, Suheel Abdullah Haq, Ihsan Ul Khan, Khan Bahadar Laghari, Ghulam Fareed Zafar, Farhan PLoS One Research Article In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FDO) algorithm is employed for the optimization of proposed controller with various performance criteria including Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE). The effectiveness of the proposed approach has been assessed on a two-area network with individual source including gas, hydro and reheat thermal unit and then collectively with all three sources. Further, to validate the efficacy of the proposed FDO based PID and I-PD controllers, comprehensive comparative performance is carried and compared with other controllers including Differential Evolution based PID (DE-PID) controller and Teaching Learning Based Optimization (TLBO) hybridized with Local Unimodal Sampling (LUS-PID) controller. The comparison of outcomes reveal that the proposed FDO based I-PD (FDO-I-PD) controller provides a significant improvement in respect of Overshoot (Osh), Settling time (Ts), and Undershoot (Ush). The robustness of an I-PD controller is also verified by varying parameter of the system and load variation. Public Library of Science 2020-11-20 /pmc/articles/PMC7678963/ /pubmed/33216787 http://dx.doi.org/10.1371/journal.pone.0242428 Text en © 2020 Daraz et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Daraz, Amil Malik, Suheel Abdullah Haq, Ihsan Ul Khan, Khan Bahadar Laghari, Ghulam Fareed Zafar, Farhan Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title | Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title_full | Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title_fullStr | Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title_full_unstemmed | Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title_short | Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
title_sort | modified pid controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678963/ https://www.ncbi.nlm.nih.gov/pubmed/33216787 http://dx.doi.org/10.1371/journal.pone.0242428 |
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