Shahin Masouminejad - Rouzbahan University, Department of Electrical Engineering, Sari, Iran
Majid Aghababaie - Imam Khomeini University of Maritime Sciences, Department of Electrical Engineering,Noshahr, Iran
Mehrdad Ahmadi Kamarposhti - Islamic Azad University Jouybar Branch, Department of Electrical Engineering, Jouybar, Iran

Load frequency control (LFC) in power systems operation has been a major issue of concern to power system operators. This study presents the design and implementation of intelligent controllers, based on fuzzy logic (FL), for automatic generation control (AGC) of a two area hydrothermal power system. The AGC performance with intelligent controllers is compared with the performance of conventional proportional integral (PI) and proportional integral derivative (PID) controllers under a load disturbance. Comparative analysis of results shows considerable improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The fuzzy controller gives better dynamic response, reduced error magnitude and minimized frequency transients.

Automatic Generation Control (AGC), Fuzzy Logic Controller (FLC), Conventional Proportional Integral (PI), Proportional Integral Derivative (PID)