Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm

Jahid Hasan Tayeb; Md Rashidul Islam; Md Shafiullah; Sayed Md Abrar Gani; Md Ismail Hossain

doi:10.1109/ICAIS53314.2022.9741828

Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm

Jahid Hasan Tayeb, Md Rashidul Islam, Md Shafiullah, Sayed Md Abrar Gani, Md Ismail Hossain

Interdisciplinary Research Center for Sustainable Energy Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

As a result of the multiple interruptions induced by low-frequency oscillations in power systems, they may lead to system instability. This research employs the tunicate swam algorithm (TSA), a metaheuristic optimization approach, to design the power system stabilizers (PSSs) for the multi-machine power system networks. To increase system damping, a damping ratio-based objective function is proposed and a commonly utilized traditional lead-lag type PSS structure is adopted. The effectiveness of the TSA-based PSS architecture is illustrated by two systems: one with four machines and another with ten machines. The effectiveness and robustness of the proposed method are demonstrated using many performance tests. An additional measure of trustworthiness is provided by the comparison of the simulation results to the well-known particle swarm optimization (PSO) approach for swarm intelligence in this field.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1761-1766
Number of pages	6
ISBN (Electronic)	9781665400527
DOIs	https://doi.org/10.1109/ICAIS53314.2022.9741828
State	Published - 2022

Publication series

Name	Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Damping ratio
Low-frequency oscillations
Multi-machine
PSO
PSS
Power system stability
TSA

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Information Systems and Management
Renewable Energy, Sustainability and the Environment
Control and Optimization

Access to Document

10.1109/ICAIS53314.2022.9741828

Cite this

Tayeb, J. H., Islam, M. R., Shafiullah, M., Gani, S. M. A., & Hossain, M. I. (2022). Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm. In Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022 (pp. 1761-1766). (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIS53314.2022.9741828

Tayeb, Jahid Hasan ; Islam, Md Rashidul ; Shafiullah, Md et al. / Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm. Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1761-1766 (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022).

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title = "Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm",

abstract = "As a result of the multiple interruptions induced by low-frequency oscillations in power systems, they may lead to system instability. This research employs the tunicate swam algorithm (TSA), a metaheuristic optimization approach, to design the power system stabilizers (PSSs) for the multi-machine power system networks. To increase system damping, a damping ratio-based objective function is proposed and a commonly utilized traditional lead-lag type PSS structure is adopted. The effectiveness of the TSA-based PSS architecture is illustrated by two systems: one with four machines and another with ten machines. The effectiveness and robustness of the proposed method are demonstrated using many performance tests. An additional measure of trustworthiness is provided by the comparison of the simulation results to the well-known particle swarm optimization (PSO) approach for swarm intelligence in this field.",

keywords = "Damping ratio, Low-frequency oscillations, Multi-machine, PSO, PSS, Power system stability, TSA",

author = "Tayeb, \{Jahid Hasan\} and Islam, \{Md Rashidul\} and Md Shafiullah and Gani, \{Sayed Md Abrar\} and Hossain, \{Md Ismail\}",

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year = "2022",

doi = "10.1109/ICAIS53314.2022.9741828",

language = "English",

series = "Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022",

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Tayeb, JH, Islam, MR, Shafiullah, M, Gani, SMA & Hossain, MI 2022, Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm. in Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1761-1766. https://doi.org/10.1109/ICAIS53314.2022.9741828

Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm. / Tayeb, Jahid Hasan; Islam, Md Rashidul; Shafiullah, Md et al.
Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1761-1766 (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm

AU - Tayeb, Jahid Hasan

AU - Islam, Md Rashidul

AU - Shafiullah, Md

AU - Gani, Sayed Md Abrar

AU - Hossain, Md Ismail

PY - 2022

Y1 - 2022

N2 - As a result of the multiple interruptions induced by low-frequency oscillations in power systems, they may lead to system instability. This research employs the tunicate swam algorithm (TSA), a metaheuristic optimization approach, to design the power system stabilizers (PSSs) for the multi-machine power system networks. To increase system damping, a damping ratio-based objective function is proposed and a commonly utilized traditional lead-lag type PSS structure is adopted. The effectiveness of the TSA-based PSS architecture is illustrated by two systems: one with four machines and another with ten machines. The effectiveness and robustness of the proposed method are demonstrated using many performance tests. An additional measure of trustworthiness is provided by the comparison of the simulation results to the well-known particle swarm optimization (PSO) approach for swarm intelligence in this field.

AB - As a result of the multiple interruptions induced by low-frequency oscillations in power systems, they may lead to system instability. This research employs the tunicate swam algorithm (TSA), a metaheuristic optimization approach, to design the power system stabilizers (PSSs) for the multi-machine power system networks. To increase system damping, a damping ratio-based objective function is proposed and a commonly utilized traditional lead-lag type PSS structure is adopted. The effectiveness of the TSA-based PSS architecture is illustrated by two systems: one with four machines and another with ten machines. The effectiveness and robustness of the proposed method are demonstrated using many performance tests. An additional measure of trustworthiness is provided by the comparison of the simulation results to the well-known particle swarm optimization (PSO) approach for swarm intelligence in this field.

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KW - Low-frequency oscillations

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KW - Power system stability

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DO - 10.1109/ICAIS53314.2022.9741828

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T3 - Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

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BT - Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

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Tayeb JH, Islam MR, Shafiullah M, Gani SMA, Hossain MI. Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm. In Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1761-1766. (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022). doi: 10.1109/ICAIS53314.2022.9741828

Robust Power System Stabilizer for Multi-machine Power Networks using Tunicate Swarm Algorithm

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this