Tuning of power system stabilizer employing differential evolution optimization algorithm

Authors:
Subhransu Sekhar Tripathi;Sidhartha Panda
Affiliations:
Department of Electrical and Electronics Engineering, National Institute of Science and Technology (NIST), Berhampur, Orissa, India;Department of Electrical and Electronics Engineering, National Institute of Science and Technology (NIST), Berhampur, Orissa, India
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

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Abstract

In this paper, differential evolution (DE) optimization algorithm is applied to design robust power system stabilizer (PSS). The design problem of the proposed controller is formulated as an optimization problem and DE is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions; disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.