Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network

Md Saber Hossen; Md Rashidul Islam; Md Shafiullah; Mir Fahim-Ul-Haque; Amjad Ali

doi:10.1109/ICAIS53314.2022.9743091

Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network

Md Saber Hossen
, Md Rashidul Islam
, Md Shafiullah
, Mir Fahim-Ul-Haque
, Amjad Ali

Interdisciplinary Research Center for Sustainable Energy Systems

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

4 Scopus citations

Abstract

In this paper tunicate swarm algorithm is employed to tune the power system stabilizer's (PSS) parameters in a single machine infinite bus (SMIB) network incorporated with a unified power flow controller (UPFC). To enhance the damping of the system, the objective function based on the minimization of the damping ratio is addressed, and a widely utilized lead-lag compensator-type PSS structure is adopted. The algorithm's ability to lead the PSS's model regardless of the initial guess illustrates its robustness. The approach's performance is investigated under three-phase faults, and the simulation findings verify the effectiveness of the proposed technique. The simulation results are compared to the backtracking search algorithm (BSA), a well-known population-based approach, in this sector that provides resilience in the suggested technique.

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	1767-1772
Number of pages	6
ISBN (Electronic)	9781665400527
DOIs	https://doi.org/10.1109/ICAIS53314.2022.9743091
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

BSA
Electromechanical oscillations (EMO)
LFO
PSS
TSA
Unified power flow controller (UPFC)

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/ICAIS53314.2022.9743091

Cite this

Hossen, M. S., Islam, M. R., Shafiullah, M., Fahim-Ul-Haque, M., & Ali, A. (2022). Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network. In Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022 (pp. 1767-1772). (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/ICAIS53314.2022.9743091

Hossen, Md Saber ; Islam, Md Rashidul ; Shafiullah, Md et al. / Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network. Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1767-1772 (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022).

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title = "Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network",

abstract = "In this paper tunicate swarm algorithm is employed to tune the power system stabilizer's (PSS) parameters in a single machine infinite bus (SMIB) network incorporated with a unified power flow controller (UPFC). To enhance the damping of the system, the objective function based on the minimization of the damping ratio is addressed, and a widely utilized lead-lag compensator-type PSS structure is adopted. The algorithm's ability to lead the PSS's model regardless of the initial guess illustrates its robustness. The approach's performance is investigated under three-phase faults, and the simulation findings verify the effectiveness of the proposed technique. The simulation results are compared to the backtracking search algorithm (BSA), a well-known population-based approach, in this sector that provides resilience in the suggested technique.",

keywords = "BSA, Electromechanical oscillations (EMO), LFO, PSS, TSA, Unified power flow controller (UPFC)",

author = "Hossen, \{Md Saber\} and Islam, \{Md Rashidul\} and Md Shafiullah and Mir Fahim-Ul-Haque and Amjad Ali",

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year = "2022",

doi = "10.1109/ICAIS53314.2022.9743091",

language = "English",

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

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Hossen, MS, Islam, MR, Shafiullah, M, Fahim-Ul-Haque, M & Ali, A 2022, Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network. 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. 1767-1772. https://doi.org/10.1109/ICAIS53314.2022.9743091

Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network. / Hossen, Md Saber; 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. 1767-1772 (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 - Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network

AU - Hossen, Md Saber

AU - Islam, Md Rashidul

AU - Shafiullah, Md

AU - Fahim-Ul-Haque, Mir

AU - Ali, Amjad

PY - 2022

Y1 - 2022

N2 - In this paper tunicate swarm algorithm is employed to tune the power system stabilizer's (PSS) parameters in a single machine infinite bus (SMIB) network incorporated with a unified power flow controller (UPFC). To enhance the damping of the system, the objective function based on the minimization of the damping ratio is addressed, and a widely utilized lead-lag compensator-type PSS structure is adopted. The algorithm's ability to lead the PSS's model regardless of the initial guess illustrates its robustness. The approach's performance is investigated under three-phase faults, and the simulation findings verify the effectiveness of the proposed technique. The simulation results are compared to the backtracking search algorithm (BSA), a well-known population-based approach, in this sector that provides resilience in the suggested technique.

AB - In this paper tunicate swarm algorithm is employed to tune the power system stabilizer's (PSS) parameters in a single machine infinite bus (SMIB) network incorporated with a unified power flow controller (UPFC). To enhance the damping of the system, the objective function based on the minimization of the damping ratio is addressed, and a widely utilized lead-lag compensator-type PSS structure is adopted. The algorithm's ability to lead the PSS's model regardless of the initial guess illustrates its robustness. The approach's performance is investigated under three-phase faults, and the simulation findings verify the effectiveness of the proposed technique. The simulation results are compared to the backtracking search algorithm (BSA), a well-known population-based approach, in this sector that provides resilience in the suggested technique.

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KW - TSA

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DO - 10.1109/ICAIS53314.2022.9743091

M3 - Conference contribution

AN - SCOPUS:85128167090

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

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Hossen MS, Islam MR, Shafiullah M, Fahim-Ul-Haque M, Ali A. Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network. In Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1767-1772. (Proceedings of the 2nd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2022). doi: 10.1109/ICAIS53314.2022.9743091

Tunicate Swarm Algorithm for Power System Stability Enhancement in a SMIB-UPFC Network

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this