Designing lead-lag PSS employing backtracking search algorithm to improve power system damping

Md Shafiullah; Md Juel Rana; L. S. Coelho; M. A. Abido; Ahmad Al-Subhi

doi:10.1109/IEEEGCC.2017.8447921

Designing lead-lag PSS employing backtracking search algorithm to improve power system damping

Md Shafiullah, Md Juel Rana, L. S. Coelho, M. A. Abido, Ahmad Al-Subhi

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

13 Scopus citations

Abstract

The power system is a complex network having highly nonlinear dynamics. Being electrically interconnected power systems are vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations (LFOs) originated from small disturbances in any part of the network may cause the outage of the whole system. Power System Stabilizer (PSS) with optimal parameter settings is an efficient tool for the suppression of these oscillations. In this paper, a novel approach is proposed to tune lead-lag controller based PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to suppress LFOs through improvement of power system damping. The efficacy of BSA tuned PSS has been investigated by comparing the simulation results with fixed gain conventional PSS. In addition, the damping ratio and eigenvalues of the same network have been compared with genetic algorithm (GA) based tuned PSS.

Original language	English
Title of host publication	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538627563
DOIs	https://doi.org/10.1109/IEEEGCC.2017.8447921
State	Published - 27 Aug 2018

Publication series

Name	2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Backtracking Search Algorithm
Damping Ratio
Eigenvalues
Genetic Algorithm
Low-Frequency Oscillations
Power System Stabilizer
Single Machine Infinite Bus System

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Information Systems and Management
Media Technology
Instrumentation

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10.1109/IEEEGCC.2017.8447921

Cite this

Shafiullah, M., Rana, M. J., Coelho, L. S., Abido, M. A., & Al-Subhi, A. (2018). Designing lead-lag PSS employing backtracking search algorithm to improve power system damping. In 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017 Article 8447921 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEEGCC.2017.8447921

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title = "Designing lead-lag PSS employing backtracking search algorithm to improve power system damping",

abstract = "The power system is a complex network having highly nonlinear dynamics. Being electrically interconnected power systems are vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations (LFOs) originated from small disturbances in any part of the network may cause the outage of the whole system. Power System Stabilizer (PSS) with optimal parameter settings is an efficient tool for the suppression of these oscillations. In this paper, a novel approach is proposed to tune lead-lag controller based PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to suppress LFOs through improvement of power system damping. The efficacy of BSA tuned PSS has been investigated by comparing the simulation results with fixed gain conventional PSS. In addition, the damping ratio and eigenvalues of the same network have been compared with genetic algorithm (GA) based tuned PSS.",

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author = "Md Shafiullah and Rana, \{Md Juel\} and Coelho, \{L. S.\} and Abido, \{M. A.\} and Ahmad Al-Subhi",

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doi = "10.1109/IEEEGCC.2017.8447921",

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Shafiullah, M, Rana, MJ, Coelho, LS, Abido, MA & Al-Subhi, A 2018, Designing lead-lag PSS employing backtracking search algorithm to improve power system damping. in 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017., 8447921, 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/IEEEGCC.2017.8447921

Designing lead-lag PSS employing backtracking search algorithm to improve power system damping. / Shafiullah, Md; Rana, Md Juel; Coelho, L. S. et al.
2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017. Institute of Electrical and Electronics Engineers Inc., 2018. 8447921 (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017).

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

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AU - Rana, Md Juel

AU - Coelho, L. S.

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AU - Al-Subhi, Ahmad

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N2 - The power system is a complex network having highly nonlinear dynamics. Being electrically interconnected power systems are vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations (LFOs) originated from small disturbances in any part of the network may cause the outage of the whole system. Power System Stabilizer (PSS) with optimal parameter settings is an efficient tool for the suppression of these oscillations. In this paper, a novel approach is proposed to tune lead-lag controller based PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to suppress LFOs through improvement of power system damping. The efficacy of BSA tuned PSS has been investigated by comparing the simulation results with fixed gain conventional PSS. In addition, the damping ratio and eigenvalues of the same network have been compared with genetic algorithm (GA) based tuned PSS.

AB - The power system is a complex network having highly nonlinear dynamics. Being electrically interconnected power systems are vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations (LFOs) originated from small disturbances in any part of the network may cause the outage of the whole system. Power System Stabilizer (PSS) with optimal parameter settings is an efficient tool for the suppression of these oscillations. In this paper, a novel approach is proposed to tune lead-lag controller based PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to suppress LFOs through improvement of power system damping. The efficacy of BSA tuned PSS has been investigated by comparing the simulation results with fixed gain conventional PSS. In addition, the damping ratio and eigenvalues of the same network have been compared with genetic algorithm (GA) based tuned PSS.

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KW - Damping Ratio

KW - Eigenvalues

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Shafiullah M, Rana MJ, Coelho LS, Abido MA, Al-Subhi A. Designing lead-lag PSS employing backtracking search algorithm to improve power system damping. In 2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017. Institute of Electrical and Electronics Engineers Inc. 2018. 8447921. (2017 9th IEEE-GCC Conference and Exhibition, GCCCE 2017). doi: 10.1109/IEEEGCC.2017.8447921

Designing lead-lag PSS employing backtracking search algorithm to improve power system damping

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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