Designing of SSSC, TCSC and STATCOM controllers with using AVURPSO, GSA and GA for transient stability improvement of multi-machine power system with PV and wind farms

Abstract

In this paper, the effects of three FACTS controllers, static synchronous series compensator (SSSC), thyristor controlled series compensator (TCSC) and static synchronous compensator (STATCOM) on transient stability of multi-machine power system in presence of two 200 MW wind farms based on doubly fed induction generator (DFIG) and a 120 MW photovoltaic (PV) solar plant will be studied. Also, power system stabilizers (PSSs) are installed on four synchronous machines. It is generally accepted that there is a threat to the stability of power system with penetration of wind farm and PV plant. Therefore, in order to improve transient stability in power system, the paper proposes using of PI controllers in PV and wind farms controllers and combination of the PSS and FACTS controllers; thus, their coordination is very impo¬r¬tant. The design problem of the PSS, FACTS and PI controllers are formulated as an optimization problem, and adapt¬ive velocity update relaxation particle swarm optimiz¬a¬tion (AVURPSO) algorithm, gravitational search algorithm (GSA) and genetic algorithm (GA) are employed to search for the optimal controllers parameters. These three approaches identify the solution to a given objective function, but they employ different strategies and computational effort; therefore, a comparison of their performance is needed.