Optimal tuning of PSS parameters for damping improvement in SMIB model using random drift PSO and network reduction with losses concept

One of the disturbance types in the power system is the occurrence of fluctuations in demand for power on the load side. Changes in power demand can cause oscillations inside the generator. One of the additional equipment that is used to damp the oscillation is power system stabilizer. In this paper, power system stabilizer parameter is tuned using random drift particle swarm optimization algorithm. It hopefully can improve on oscillations reduction in the single machine infinite bus model of power system. Based on previous approach, equivalent impedance in single machine infinite bus is obtained using REI-Dimo, which is relatively a complicated method. It is commonly used to model multi-machine and also a kind of method that has some parameter needed to be adjusted subjectively. In this paper, the calculation method to approach the value of equivalent impedance is conducted using losses analysis contributed by a single machine that can be calculated with a much simpler way. The simulation results of power system stabilizer tuning using random drift particle swarm optimization will be compared with the method of conventional particle swarm optimization. Based on the simulation results using drift particle swarm optimization, damping ratio can be improved better than other algorithms.