Design and Analysis of Novel Complex Order Optimal Power System Stabilizers

Abstract

This paper focuses on using a novel Complex order Power System Stabilizer (CoPSS) to damp out the small signal oscillations in a Single Machine Infinite Bus (SMIB) power system. The parameters of the proposed PSS are optimized using Particle Swarm Optimization (PSO) algorithm by performing the simulation using MATLAB. While designing the optimal CoPSS, the Integral Time multiplied by Absolute Error (ITAE) performance index is taken as an objective function and parameter bounds as constraints. The comparison between Conventional PSS tuned by PSO (PSOCPSS), Fractional order PSS tuned by PSO (PSOFoPSS), and Complex order PSS tuned by PSO (PSOCoPSS) is carried out through the MATLAB/Simulink platform. The comparative analysis depicts that PSOCoPSS outperforms PSOFoPSS and PSOCPSS.