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Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller

This paper proposes a new population-based hybrid particle swarm optimized-gravitational search algorithm (PSO-GSA) for tuning the parameters of the proportional-integral-derivative (PID) controller of a two-area interconnected dynamic power system with the presence of nonlinearities such as generat...

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主要な著者: Veerasamy, Veerapandiyan, Abdul Wahab, Noor Izzri, Ramachandran, Rajeswari, Vinayagam, Arangarajan, Othman, Mohammad Lutfi, Hizam, Hashim, Satheeshkumar, Jeevitha
フォーマット: 論文
言語:English
出版事項: MDPI 2019
オンライン･アクセス:http://psasir.upm.edu.my/id/eprint/38212/1/38212.pdf
http://psasir.upm.edu.my/id/eprint/38212/
https://www.mdpi.com/2071-1050/11/24/6908
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spelling my.upm.eprints.382122020-05-04T15:58:42Z http://psasir.upm.edu.my/id/eprint/38212/ Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller Veerasamy, Veerapandiyan Abdul Wahab, Noor Izzri Ramachandran, Rajeswari Vinayagam, Arangarajan Othman, Mohammad Lutfi Hizam, Hashim Satheeshkumar, Jeevitha This paper proposes a new population-based hybrid particle swarm optimized-gravitational search algorithm (PSO-GSA) for tuning the parameters of the proportional-integral-derivative (PID) controller of a two-area interconnected dynamic power system with the presence of nonlinearities such as generator rate constraints (GRC) and governor dead-band (GDB). The tuning of controller parameters such as Kp, Ki, and Kd are obtained by minimizing the objective function formulated using the steady-state performance indices like Integral absolute error (IAE) of tie-line power and frequency deviation of interconnected system. To test the robustness of the propounded controller, the system is studied with system uncertainties, such as change in load demand, synchronizing power coefficient and inertia constant. The two-area interconnected power system (TAIPS) is modeled and simulated using Matlab/Simulink. The results exhibit that the steady-state and transient performance indices such as IAE, settling time, and control effort are impressively enhanced by an amount of 87.65%, 15.39%, and 91.17% in area-1 and 86.46%, 41.35%, and 91.04% in area-2, respectively, by the proposed method compared to other techniques presented. The minimum control effort of PSO-GSA-tuned PID controller depicts the robust performance of the controller compared to other non-meta-heuristic and meta-heuristic methods presented. The proffered method is also validated using the hardware-in-the-loop (HIL) real-time digital simulation to study the effectiveness of the controller. MDPI 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/38212/1/38212.pdf Veerasamy, Veerapandiyan and Abdul Wahab, Noor Izzri and Ramachandran, Rajeswari and Vinayagam, Arangarajan and Othman, Mohammad Lutfi and Hizam, Hashim and Satheeshkumar, Jeevitha (2019) Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller. Sustainability, 11 (24). art. no. 6908. pp. 1-20. ISSN 2071-1050 https://www.mdpi.com/2071-1050/11/24/6908 10.3390/su11246908
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/
language English
description This paper proposes a new population-based hybrid particle swarm optimized-gravitational search algorithm (PSO-GSA) for tuning the parameters of the proportional-integral-derivative (PID) controller of a two-area interconnected dynamic power system with the presence of nonlinearities such as generator rate constraints (GRC) and governor dead-band (GDB). The tuning of controller parameters such as Kp, Ki, and Kd are obtained by minimizing the objective function formulated using the steady-state performance indices like Integral absolute error (IAE) of tie-line power and frequency deviation of interconnected system. To test the robustness of the propounded controller, the system is studied with system uncertainties, such as change in load demand, synchronizing power coefficient and inertia constant. The two-area interconnected power system (TAIPS) is modeled and simulated using Matlab/Simulink. The results exhibit that the steady-state and transient performance indices such as IAE, settling time, and control effort are impressively enhanced by an amount of 87.65%, 15.39%, and 91.17% in area-1 and 86.46%, 41.35%, and 91.04% in area-2, respectively, by the proposed method compared to other techniques presented. The minimum control effort of PSO-GSA-tuned PID controller depicts the robust performance of the controller compared to other non-meta-heuristic and meta-heuristic methods presented. The proffered method is also validated using the hardware-in-the-loop (HIL) real-time digital simulation to study the effectiveness of the controller.
format Article
author Veerasamy, Veerapandiyan
Abdul Wahab, Noor Izzri
Ramachandran, Rajeswari
Vinayagam, Arangarajan
Othman, Mohammad Lutfi
Hizam, Hashim
Satheeshkumar, Jeevitha
spellingShingle Veerasamy, Veerapandiyan
Abdul Wahab, Noor Izzri
Ramachandran, Rajeswari
Vinayagam, Arangarajan
Othman, Mohammad Lutfi
Hizam, Hashim
Satheeshkumar, Jeevitha
Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
author_facet Veerasamy, Veerapandiyan
Abdul Wahab, Noor Izzri
Ramachandran, Rajeswari
Vinayagam, Arangarajan
Othman, Mohammad Lutfi
Hizam, Hashim
Satheeshkumar, Jeevitha
author_sort Veerasamy, Veerapandiyan
title Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
title_short Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
title_full Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
title_fullStr Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
title_full_unstemmed Automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid PSO-GSA-tuned PID controller
title_sort automatic load frequency control of a multi-area dynamic interconnected power system using a hybrid pso-gsa-tuned pid controller
publisher MDPI
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/38212/1/38212.pdf
http://psasir.upm.edu.my/id/eprint/38212/
https://www.mdpi.com/2071-1050/11/24/6908
_version_ 1665895964476440576
score 13.251813

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