A memetic algorithm for power system damping controllers design
by Wesley Peres; Valceres V.R. Silva; Francisco C.R. Coelho; Ivo C. Silva Junior; João A. Passos Filho
International Journal of Bio-Inspired Computation (IJBIC), Vol. 11, No. 2, 2018

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.

Online publication date: Tue, 17-Apr-2018

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