Power system stability enhancement by designing optimal PSS employing backtracking search algorithm

Md Shafiullah; Md Juel Rana; L. S. Coelho; M. A. Abido

doi:10.1109/ICCEP.2017.8004769

Power system stability enhancement by designing optimal PSS employing backtracking search algorithm

Md Shafiullah
, Md Juel Rana
, L. S. Coelho
, M. A. Abido

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

29 Scopus citations

Abstract

Interconnected power systems are critically vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations and small disturbances may lead to an outage of the system. Properly tuned Power System Stabilizer (PSS) is an effective tool for the suppression of these oscillations. This paper proposes a novel approach to tune proportional-integral (PI), proportional-integral-derivative (PID) and lead-lag PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to damp out low-frequency oscillation. 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 6th International Conference on Clean Electrical Power
Subtitle of host publication	Renewable Energy Resources Impact, ICCEP 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	712-719
Number of pages	8
ISBN (Electronic)	9781509046829
DOIs	https://doi.org/10.1109/ICCEP.2017.8004769
State	Published - 8 Aug 2017

Publication series

Name	2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Backtracking Search Algorithm
Damping Ratio
Eigenvalues
Genetic Algorithm
Power System Stabilizer
Single Machine Infinite Bus System

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ICCEP.2017.8004769

Cite this

Shafiullah, M., Rana, M. J., Coelho, L. S., & Abido, M. A. (2017). Power system stability enhancement by designing optimal PSS employing backtracking search algorithm. In 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017 (pp. 712-719). Article 8004769 (2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCEP.2017.8004769

Shafiullah, Md ; Rana, Md Juel ; Coelho, L. S. et al. / Power system stability enhancement by designing optimal PSS employing backtracking search algorithm. 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 712-719 (2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017).

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title = "Power system stability enhancement by designing optimal PSS employing backtracking search algorithm",

abstract = "Interconnected power systems are critically vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations and small disturbances may lead to an outage of the system. Properly tuned Power System Stabilizer (PSS) is an effective tool for the suppression of these oscillations. This paper proposes a novel approach to tune proportional-integral (PI), proportional-integral-derivative (PID) and lead-lag PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to damp out low-frequency oscillation. 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.",

keywords = "Backtracking Search Algorithm, Damping Ratio, Eigenvalues, Genetic Algorithm, Power System Stabilizer, Single Machine Infinite Bus System",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = aug,

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doi = "10.1109/ICCEP.2017.8004769",

language = "English",

series = "2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017",

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Shafiullah, M, Rana, MJ, Coelho, LS & Abido, MA 2017, Power system stability enhancement by designing optimal PSS employing backtracking search algorithm. in 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017., 8004769, 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017, Institute of Electrical and Electronics Engineers Inc., pp. 712-719. https://doi.org/10.1109/ICCEP.2017.8004769

Power system stability enhancement by designing optimal PSS employing backtracking search algorithm. / Shafiullah, Md; Rana, Md Juel; Coelho, L. S. et al.
2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 712-719 8004769 (2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017).

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

TY - GEN

T1 - Power system stability enhancement by designing optimal PSS employing backtracking search algorithm

AU - Shafiullah, Md

AU - Rana, Md Juel

AU - Coelho, L. S.

AU - Abido, M. A.

PY - 2017/8/8

Y1 - 2017/8/8

N2 - Interconnected power systems are critically vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations and small disturbances may lead to an outage of the system. Properly tuned Power System Stabilizer (PSS) is an effective tool for the suppression of these oscillations. This paper proposes a novel approach to tune proportional-integral (PI), proportional-integral-derivative (PID) and lead-lag PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to damp out low-frequency oscillation. 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 - Interconnected power systems are critically vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations and small disturbances may lead to an outage of the system. Properly tuned Power System Stabilizer (PSS) is an effective tool for the suppression of these oscillations. This paper proposes a novel approach to tune proportional-integral (PI), proportional-integral-derivative (PID) and lead-lag PSS for a single machine infinite bus (SMIB) network by using backtracking search algorithm (BSA) to damp out low-frequency oscillation. 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

KW - Genetic Algorithm

KW - Power System Stabilizer

KW - Single Machine Infinite Bus System

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DO - 10.1109/ICCEP.2017.8004769

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T3 - 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017

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BT - 2017 6th International Conference on Clean Electrical Power

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Shafiullah M, Rana MJ, Coelho LS, Abido MA. Power system stability enhancement by designing optimal PSS employing backtracking search algorithm. In 2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 712-719. 8004769. (2017 6th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, ICCEP 2017). doi: 10.1109/ICCEP.2017.8004769

Power system stability enhancement by designing optimal PSS employing backtracking search algorithm

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this