Particle swarm optimization for multimachine power system stabilizer design

M. A. Abido

doi:10.1109/pess.2001.970272

Particle swarm optimization for multimachine power system stabilizer design

M. A. Abido^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

129 Scopus citations

Abstract

In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine Power System Stabilizers (PSSs) is proposed. The proposed approach develops and employs Particle Swarm Optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditions.

Original language	English
Pages (from-to)	1346-1351
Number of pages	6
Journal	Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume	3
Issue number	SUMMER
DOIs	https://doi.org/10.1109/pess.2001.970272
State	Published - 2001

Keywords

Dynamic stability
PSS
Particle swarm optimization

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/pess.2001.970272

Cite this

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title = "Particle swarm optimization for multimachine power system stabilizer design",

abstract = "In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine Power System Stabilizers (PSSs) is proposed. The proposed approach develops and employs Particle Swarm Optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditions.",

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year = "2001",

doi = "10.1109/pess.2001.970272",

language = "English",

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journal = "Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - Particle swarm optimization for multimachine power system stabilizer design

AU - Abido, M. A.

PY - 2001

Y1 - 2001

N2 - In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine Power System Stabilizers (PSSs) is proposed. The proposed approach develops and employs Particle Swarm Optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditions.

AB - In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine Power System Stabilizers (PSSs) is proposed. The proposed approach develops and employs Particle Swarm Optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditions.

KW - Dynamic stability

KW - PSS

KW - Particle swarm optimization

UR - https://www.scopus.com/pages/publications/0035792151

U2 - 10.1109/pess.2001.970272

DO - 10.1109/pess.2001.970272

M3 - Conference article

AN - SCOPUS:0035792151

SN - 2160-8555

VL - 3

SP - 1346

EP - 1351

JO - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

JF - Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

IS - SUMMER

ER -

Particle swarm optimization for multimachine power system stabilizer design

Abstract

Keywords

ASJC Scopus subject areas

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