Implementation of an innovative cuckoo search optimizer in multimachine power system stability analysis

Abstract

Abstract – Power system stabilizers are implemented in power system networks to mitigate the low frequency inertial oscillations effectively. This paper provides an efficient approach to damp the oscillations experienced in multi-machine power system using an innovative cuckoo search optimization algorithm based controller design, to improve the system stability. The proposed controller design is formulated as a Tri-objective optimization criterion to compute the optimal controller parameters. To show the effectiveness of the proposed controller, time domain simulations under various operating conditions has been carried out. The performance of the cuckoo search controller is compared with conventional lead lag controller and particle swarm optimization based controller designs.