New coordinated design of SVC and PSS for multi-machine power system using BF-PSO algorithm

Nowadays, flexible AC transmission system (FACTS) devices are increasingly used in power systems. They have remarkable effects on increasing the damping of the system. In this paper, a bacterial-foraging oriented by particle swarm optimization (BF- PSO) algorithm is employed to design the coordinated parameters of power system stabilizer (PSS) and static VAR compensator (SVC). With regard to nonlinearities of power system, linear methods can’t be used to design coordinated parameters of controllers. In this paper, nonlinear model of power system and SVC is used to design parameters of PSS and SVC. For this purpose, this design problem is firstly converted to an optimization problem and then the BF-PSO algorithm is used to solve it. Simulations are carried out on four machine 11 bus power system in MATLAB software. The results confirm the efficiency of the proposed method for stabilizing the power system oscillations. Comparing BF-PSO algorithm with other intelligent methods, (PSO, BFA) verifies better performance of the BF-PSO method