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A PARTICLE SWARM-AIDED APPROACH FOR STABILITY ENHANCEMENT OF A SUPERCONDUCTING GENERATOR USING AN SVC-BASED STABILIZER

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Last updated: 25 Dec 2024

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Abstract

An important aspect in developing superconducting generator (SCG) concerns stability following a major system disturbance. This paper presents a method for enhancing stability of a SCG connected to an infinite-bus system using one of FACTS devices. In this method, a static VAR compensator (SVC)-based stabilizer is designed in coordination with a governor controller (GC) to effectively damp the mechanical oscillations which arise in the system when subjected to a disturbance. A time response-based objective function is defined and the design problem of SVC-based stabilizer and GC is formulated into an optimization problem. Particle swarm optimization (PSO) technique is employed to find out an optimal set of parameters for SVC-based stabilizer and GC. Simulation results, damping torque analysis, and small signal analysis show that the proposed PSO-based control scheme provides more damping to the SCG, and enhances its stability over a range of operating conditions.

DOI

10.21608/erjm.2011.67261

Keywords

Superconducting generator, Transient stability, FACTS, Particle Swarm Optimization

Authors

First Name

R. A. F.

Last Name

Saleh

MiddleName

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Affiliation

Electrical Engineering Dept., College of Engineering, Qassim University, Qassim, Saudi Arabia

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Volume

34

Article Issue

2

Related Issue

10163

Issue Date

2011-04-01

Receive Date

2020-01-02

Publish Date

2011-04-01

Page Start

103

Page End

110

Print ISSN

1110-1180

Online ISSN

3009-6944

Link

https://erjm.journals.ekb.eg/article_67261.html

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https://erjm.journals.ekb.eg/service?article_code=67261

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1

Type

Original Article

Type Code

1,118

Publication Type

Journal

Publication Title

ERJ. Engineering Research Journal

Publication Link

https://erjm.journals.ekb.eg/

MainTitle

A PARTICLE SWARM-AIDED APPROACH FOR STABILITY ENHANCEMENT OF A SUPERCONDUCTING GENERATOR USING AN SVC-BASED STABILIZER

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Article

Created At

22 Jan 2023