Simultaneous Coordinated Tuning of Power System Stabilizers Using Artificial Bee Colony Algorithm

In this paper an Artificial Bee Colony (ABC) Algorithm is employed for simultaneous coordinated tuning of two power system stabilizers (PSSs) to damp the power system inter-area oscillations. ABC is a populationbased optimization algorithm inspired by the foraging behavior of bee colony and proven its superior capabilities, such as faster convergence and better global minimum achievement. For this, two conventional PSSs are designed in which a lead-lag structure is considered for each PSS and its parameters are tuned using ABC. To illustrate the feasibility of the proposed method, a 2-area 4- machine system is considered. To show the effectiveness of the designed PSSs, the study power system is tested under two conditions: applying a line-to-ground fault at a bus and a three phase fault at a bus. Also, to validate the results obtained by ABC algorithm, Genetic Algorithm (GA) and Shuffled Frog Leaping algorithm (SFLA) are applied for comparison. Simulation studies show that the designed PSSs have good capability in damping the power systems low frequency oscillations.

Keywords:

Artificial Bee Colony Algorithm , Low frequency oscillation , Power system stabilizer