A memetic algorithm for power system damping controllers design. (2018)

• Record Type: Journal Article
• Authors: Peres, Wesley; Silva, Valceres V.R.; Coelho, Francisco C.R.; Junior, Ivo C. Silva; Filho, João A. Passos
• Is Part Of: International journal of bio-inspired computation. Volume 11:Number 2(2018)
• Page Start: 110
• Page End: 122
• Publication Date: 2018
• Subjects: bat algorithm -- steepest descent method -- power system stabilisers -- PSSs -- small-signal stability; Biologically-inspired computing -- Periodicals; Computational biology -- Periodicals; 572.0285
• Languages: English
• ISSNs: 1758-0366

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.