Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Robust damping control system design for tcsc using particle swarm optimization

Khan, L. and Saeed, T. and Lo, K.L. (2008) Robust damping control system design for tcsc using particle swarm optimization. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 27 (3). pp. 593-612. ISSN 0332-1649

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

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). 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. 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. The paper presents a novel PSO-based control system design that exhibits robustness and excellent damping performance.