Title: A memetic algorithm for power system damping controllers design

Authors: Wesley Peres; Valceres V.R. Silva; Francisco C.R. Coelho; Ivo C. Silva Junior; João A. Passos Filho

Addresses: Department of Electrical Engineering, Federal University of São João del-Rei, Minas Gerais, Brazil ' Department of Electrical Engineering, Federal University of São João del-Rei, Minas Gerais, Brazil ' Department of Electrical Engineering, Federal University of São João del-Rei, Minas Gerais, Brazil ' Department of Electrical Engineering, Federal University of Juiz de Fora, Minas Gerais, Brazil ' Department of Electrical Engineering, Federal University of Juiz de Fora, Minas Gerais, Brazil

Abstract: This paper presents a hybrid algorithm for robust and coordinated design of power system stabilisers. Power system stabilisers are controllers installed on synchronous generators for excitation control in order to damp power system oscillations. The tuning procedure (gain and phase compensation stage) is cast as an optimisation problem which aims at maximising the damping coefficients in closed-loop operation. Robustness is dealt with by using multiple operating scenarios. For the optimisation problem solution, the bio-inspired Bat Algorithm is combined with the steepest descent method for local search capability enhancement. The proposed algorithm is applied to benchmark systems for validation.

Keywords: bat algorithm; steepest descent method; power system stabilisers; PSSs; small-signal stability.

DOI: 10.1504/IJBIC.2018.091235

International Journal of Bio-Inspired Computation, 2018 Vol.11 No.2, pp.110 - 122

Received: 04 Feb 2016
Accepted: 13 Jul 2016
Published online: 17 Apr 2018 *

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