Stabilizing Frequency Oscillations Of A Two Area Thermal-Thermal Power System In Deregulated Environment Using Particle Swarm Optimized Fuzzy Logic Controller

Abstract

The Automatic Generation Control (AGC) of power systems is one of the challenges faced under deregulated conditions. This article proposes a solution for the AGC of two area thermal-thermal power systems under deregulated conditions. The controller used is fuzzy logic controller and it is tuned using Particle Swarm Optimization (PSO) technique. The regions are interrelated by means of standard AC tie-lines. The effects of bilateral agreements between distribution companies (DISCOs) and generation companies (GENCOs) are also considered. To enhance optimization synthesis and to minimize the fuzzy system work the membership functions of the FLC are tuned by PSO technique. The optimal tuning is obtained by optimizing the scaling gains of the FLC. The proposed controller is evaluated under various operating conditions in a deregulated two area environment. The simulation is carried out using Simulink/MATLAB. The PSO tuned controller showed better performance with respect to conventional Proportional Integral (PI) controller and non-tuned FLC controller.