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Robust damping control system design for TCSC using particle swarm optimization

Robust damping control system design for TCSC using particle swarm optimization Purpose – Modern power systems suffer from a well‐known problem of low‐frequency oscillations. Flexible AC transmission systems devices are used to overcome this problem. The aim of this paper is to develop a particle swarm optimization (PSO) based supplementary damping control system design for thyristor control series compensator (TCSC). Design/methodology/approach – The problem is formulated as an optimization problem with an eigenvalue‐based multi‐objective function. PSO is then used to find optimal set of controller parameters by minimizing the objective function. Findings – The performance and robustness of the proposed approach is validated through small signal and large signal for different loading conditions of a multi‐machine power system. Originality/value – The paper presents a novel PSO‐based control system design that exhibits robustness and excellent damping performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

Robust damping control system design for TCSC using particle swarm optimization

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Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0332-1649
DOI
10.1108/03321640810861052
Publisher site
See Article on Publisher Site

Abstract

Purpose – Modern power systems suffer from a well‐known problem of low‐frequency oscillations. Flexible AC transmission systems devices are used to overcome this problem. The aim of this paper is to develop a particle swarm optimization (PSO) based supplementary damping control system design for thyristor control series compensator (TCSC). Design/methodology/approach – The problem is formulated as an optimization problem with an eigenvalue‐based multi‐objective function. PSO is then used to find optimal set of controller parameters by minimizing the objective function. Findings – The performance and robustness of the proposed approach is validated through small signal and large signal for different loading conditions of a multi‐machine power system. Originality/value – The paper presents a novel PSO‐based control system design that exhibits robustness and excellent damping performance.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringEmerald Publishing

Published: May 9, 2008

Keywords: Optimization techniques; Electric power systems; Stability (control theory)

References