Power system oscillations damping by optimal coordinated design between PSS and STATCOM using PSO and ABC algorithms

Abstract

Coordinated design of the power system stabilizer (PSS) and static synchronous compensator controller parameters (STATCOM) using artificial bee colony algorithm (ABC) to improve power system stability as an optimizations problem has been proposed in this study. ABC algorithm is a collective intelligence based on optimization algorithm inspired by the feeding behavior of bees in finding food. Rapid convergence and high precision are the capabilities of this algorithm which in this study to demonstrate its effectiveness and robustness, a two zone - four machines system is used and analyzed through non-linear simulation of time-domain and the results are compared with particle swarm optimization (PSO) algorithm. The optimization after a large turbulence shows that the coordinated design of the STATCOM and PSS controllers' parameters using the ABC algorithm considerably improves the system stability together with rapid damping of the system fluctuations as compared to the state without optimization. On the other hand, the optimization results using the ABC algorithm shows the superiority of this method over the PSO algorithm.