SIMULATION OF TWO AREA POWER SYSTEM USING SOFT COMPUTING TECHNIQUES IN A DEREGULATED POWER SYSTEM

Abstract: In recent years, power quality and efficiency are major attributes for a power industry especially after deregulation laws have been adopted. This paper presents a comparative view of the Soft Computing techniques i.e., Fuzzy Logic Control (FLC) and Genetic Algorithm (GA) based Fuzzy PID Controllers have been used in Two Area Power System for Load Frequency Control (LFC) under deregulation. Two Area Power System with two GENCOS and two DISCOS in each area have been taken for analysis. Load Frequency Control of the two areas of power system and tie-line power flow are the parameters observed by simulating the model. During the sudden load changes the load frequency control is the major issue i.e., to maintain the real frequency and the desired power output in interconnected power system and to control the change in tie-line power between two control areas. The two area power system model has been analysed under time domain parameters which shows the requirements for load frequency control under Genetic Algorithm (GA) based Fuzzy PID controller improves as compared to Fuzzy Logic Control Technique.

Keywords: Load Frequency Control (LFC), Two Area Power System, Deregulation, Fuzzy Logic control (FLC), Genetic Algorithm (GA), Fuzzy-PID controller, MATLAB/SIMULINK.