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Tytuł:
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Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm.
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Autorzy:
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Daraz A; Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
Malik SA; Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
Haq IU; Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
Khan KB; Department of Telecommunication Engineering, Faculty of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
Laghari GF; Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
Zafar F; Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
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Źródło:
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PloS one [PLoS One] 2020 Nov 20; Vol. 15 (11), pp. e0242428. Date of Electronic Publication: 2020 Nov 20 (Print Publication: 2020).
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: San Francisco, CA : Public Library of Science
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MeSH Terms:
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Computer Simulation*
Electric Power Supplies*
Electricity*
Algorithms ; Power Plants
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References:
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PLoS One. 2017 Apr 25;12(4):e0175901. (PMID: 28441390)
ISA Trans. 2018 Sep;80:475-490. (PMID: 30122501)
PLoS One. 2019 Feb 14;14(2):e0211642. (PMID: 30763331)
ISA Trans. 2020 May;100:126-135. (PMID: 31813557)
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Entry Date(s):
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Date Created: 20201120 Date Completed: 20210104 Latest Revision: 20210104
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Update Code:
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20240105
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PubMed Central ID:
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PMC7678963
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DOI:
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10.1371/journal.pone.0242428
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PMID:
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33216787
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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.
Competing Interests: The authors have declared that no competing interests exist.
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