Title: A multi-objective GA method for generating Pareto solutions for coordinated design of PSS and TCSC
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 Sankaracharya College of Engineering & Technology, SSCET, Bhilai, Chatisgarh, India
Abstract: This paper presents a Multi-objective Genetic Algorithm (MGA) approach to generate Pareto solution set for coordinated design of a Power System Stabiliser (PSS) and a Flexible AC Transmission System (FACTS) 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 FACTS controller. The optimal controller parameters are coordinately determined in a generator-infinite-bus test system. Simulation results are presented to show the effectiveness of the proposed approach in damping the power system oscillations and improving the system voltage profile.
Keywords: MGA; multi-objective genetic algorithms; Pareto solution set; TCSC; thyristor controlled series compensator; PSS; power system stabiliser; power system stability; optimal control.
International Journal of Intelligent Systems Technologies and Applications, 2009 Vol.7 No.4, pp.430 - 445
Published online: 03 Sep 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article