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
Affiliations:
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
Venue:
International Journal of Intelligent Systems Technologies and Applications
Year:
2009

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Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization

Proceedings of the 5th International Conference on Genetic Algorithms

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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.