A tool for optimal PSS tuning for the Colombian power system

Abstract

This work presents the development and comparison of three heuristics optimization algorithms to adjust the parameters of power system stabilizers (PSS). These methods are Tabu Search, PSO (Particle Swarm Optimization) and EPSO (Evolutionary Particle Swarm Optimization). The performance of these techniques is evaluated in terms of improvement in the system damping of Colombian power system oscillations, through simulations in Matlab and DigSilent Power Factory. The cost function for every algorithm is based on the minimization of the phase lag between the Automatic Voltage Regulator, and the electrical torque. This approach, supported in the frequency domain analysis, ensures the best performance of the PSS along a very wide range of oscillation modes avoiding high time consuming analytical calculations and improving Colombian power system stability margins.