Modified Gravitational Search Algorithm Based Load Frequency Control Incorporated with Renewable Energy Sources

Controlling and operating a multi-area interconnected power plant effectively involves one of the most important tasks of returning area frequency to its steady-state value after variations in load. This study proposes the load frequency control (LFC) of two area interconnected power system (IPS) having energy sources solar and wind integrated with thermal plant. An integral time derivative (ITD) controller is proposed here to minimize the area control error (ACE). Modified gravitational search algorithm (MGSA) is proposed for better tuning of proposed ITD controller. Objective function Integral of time absolute error (ITAE) is considered to minimize the ACE. The performance of ITD controller is proven here in comparison with tilt- integral-derivative (TID) and proportional-integral-derivative (PID) controller. Finally, a comparison is made between MGS and JAYA algorithm to prove the efficacy of proposed algorithm optimized by ITD controller. The simulation results are carried out through Matlab/Simulink environment.