Robust design of fuzzy logic power system stabilizer using multiobjective genetic algorithm

  • Authors:

  • Manisha Dubey;Aalok Dubey;Nikos E. Mastorakis

  • Affiliations:

  • Electrical Engineering Department, Maulana Azad National Institute of Technology, Bhopal, India;Dainik Bhaskar, Group of Publications, Bhopal, India;Military Institutes of Univ. Education(ASEI), Hellenic Naval Academy, Piraeus, Greece

  • Venue:
  • EC'06 Proceedings of the 7th WSEAS International Conference on Evolutionary Computing
  • Year:
  • 2006

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Abstract

Optimal multiobjective design of robust fuzzy logic power system stabilizer is presented in this paper. The fuzzy logic power system stabilizer is designed using GA. The proposed controller enhances both small and large perturbation stabilities. A multiobjective problem is formulated to optimize a set of objective functions comprising the speed deviation error subjected to small and large perturbation. The problem of selection of optimal parameters of fuzzy logic power system stabilizer is converted into an optimization problem and which is solved by genetic algorithm with the Integral of square time square error (ISTSE) based multiobjective function. Simulation results reveal the effectiveness of the proposed controller over a wide range of loading conditions under small as well as large perturbation.