Title: A multi-objective genetic algorithm approach for adaptive PSS and TCSC-based controller design
Authors: Sidhartha Panda, Narayana Prasad Patidar, Rishi Kumar Singh
Addresses: Department of Electrical and Electronics Engineering, National Institute of Science and Technology, Palur Hills, Berhampur, Orissa-761008, India. ' Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal-462051, India. ' Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal-462051, India
Abstract: This paper presents a multi-objective evolutionary algorithm approach for adaptive design of a power system stabiliser (PSS) and a thyristor controlled series compensator (TCSC)-based controller. The design objective is minimisation of both angle and voltage time trajectory deviations with respect to a post-contingency equilibrium point for a power system installed with a PSS and a TCSC controller. The optimal controller parameters of proposed controllers are coordinately designed. To show the adaptive capabilities of proposed approach, simulation results are presented at various loading conditions with parameter variations. Also, the results are compared with single objective GA approach to show the superiority of the proposed approach.
Keywords: multi-objective optimisation; evolutionary algorithms; thyristor controlled series compensator; power system stabilisers; PSS; power system stability; adaptive design; genetic algorithms; controller design.
DOI: 10.1504/IJAIS.2010.032275
International Journal of Adaptive and Innovative Systems, 2010 Vol.1 No.2, pp.121 - 138
Published online: 28 Mar 2010 *
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