Robustness and Stability Analysis of Renewable Energy Based Two Area Automatic Generation Control

Automatic generation control (AGC) plays a vital role in power system operation and control. In this study, an attempt is made to apply a successful evolutionary optimization technique named as firefly algorithm to minimize the Area Control Error (ACE). The firefly algorithm reduces the required control effort for achieving the dynamic response of system like settling time, overshoot and integral square error. The stability aspects of the system are taken care of by applying different criteria and analysis. The execution of firefly algorithm based Proportional Integral Derivative (PID) enhances the perfounance of the controller in contrast with PID, and Differential Evolution (DE-PID) with reference to stability, overshoot and damping. Further a renewable energy source (RES) such as wind turbine system (WTS) is integrated into the thermal unit in each area to increase the complexity of the system.