Automatic Generation Control of an Interconnected Power System Using Fuzzy Logic Control

Abstract

A worldwide trend in the development of power systems is to build interconnections with the goal to achieve economical benefits. Interconnections of power systems may offer significant technical, economical and environmental advantages, such as pooling of large power generation stations. Generation scheduling and control is an important component of daily power system operations. The overall objective is to control the electrical output of generating units in order to supply the continuously changing customer power demand, in an economical manner. Much of this functionality is provided by Automatic Generation Control (AGC) and related functions operating within a utility control centre Energy Management System (EMS). The Automatic Generation Control (AGC) problem has been a major subject in electrical power system design/operation and is becoming more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice AGC systems use simple proportional-integral controllers. At present fuzzy logic control is receiving an increasing emphasis in control applications. This research describes the application of fuzzy logic control in an Automatic Generation Control (AGC) to quench the deviations in frequency and tie-line power flow due to load disturbances; considering two area power system, having two steam turbines tied together through power lines, in the continuous mode. The simulation results of these controllers are analysed and compared with those obtained through the conventional PID controllers, considering a step-load perturbation in area1.