Title: Application and comparison of intelligent optimisation techniques for SSSC-based controller design

Authors: Sidhartha Panda, Narayana Prasad Padhy, R.N. Patel

Addresses: National Institute of Science and Technology, Berhampur, Orissa-761008, India. ' Indian Institute of Technology, Roorkee, Uttaranchal-247667, India. ' Shri Shankaracharya College of Engineering & Technology, Bhilai, Chatisgarh-490 020, India

Abstract: This paper presents the application and performance comparison of Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO) optimisation techniques in designing a Static Synchronous Series Compensator (SSSC)-based controller. The design problem is formulated as an optimisation problem and both the techniques are employed to design the proposed controller. The results are presented and compared to show the effectiveness of both the techniques. It is observed that, in terms of computational time, GA approach is faster than PSO. However, PSO seems to arrive at its final parameter values in fewer generations than GA.

Keywords: GAs; genetic algorithms; PSO; particle swarm optimisation; SSSC control; static synchronous series compensator; power system stability; low frequency oscillations; intelligent optimisation; controller design.

DOI: 10.1504/IJISTA.2010.034319

International Journal of Intelligent Systems Technologies and Applications, 2010 Vol.9 No.2, pp.169 - 184

Published online: 31 Jul 2010 *

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