Automatic generation control of multi-area thermal power system using TLBO algorithm optimized fuzzy-PID controller

This paper deals with design and performance scrutiny of automatic generation control (AGC) of a multi area interconnected power system. Here three thermal systems with equal ratings have been considered. Single input Fuzzy proportional integral-derivative (FPID) controller is used to study the transient response of the proposed system. In order to get realistic approach turbine time constant along with the governor dead band are used in all the three areas. The gains of FPID controller is optimized by using Teaching Learning Based Optimization (TLBO) technique & Particle Swarm Optimization (PSO). Step load perturbation (SLP) of 1 % is applied in area 1 to study the performance of the proposed controller. Finally it is observed that TLBO algorithm yields better dynamic performance.