Design and Analysis of Renewable Energy based Generation Control in a Restructured Power System

Interconnected power systems require more intelligent and flexible ways to balance and monitor a generation load. Power generated from single source is becoming less reliable and therefore, movement from single energy source to hybrid system has been preferred in recent time. Inclusion of renewable energy sources in automatic generation control (AGC) is a major concern on account of intermittent nature of renewable energy sources. In this work, we intend to study an AGC with diversified renewable energy sources (RES) integrated such as solar and wind in association with thermal reheat system. In the present work an AGC with hybrid thermal-solar and thermal-wind power generation system is simulated. The AGC is studied with traditional Proportional Integral Derivative (PID) controller and Fractional order PID (FOPID) controller. The gains of the FOPID controller are optimized by firefly algorithm (FA) algorithm. Further, the performances of all the controllers have been investigated and compared based on which it is suggested that FA optimized FOND controller is showing much better performance amongst all other controllers. In addition to that, sensitivity analysis is performed using various loading and parameter variation to access the robustness of the proposed controllers. The study reveals that, the system performance is better using FA optimized FOND controller with different solar radiation and different wind speed. Finally, to validate the proposed hybrid system the real time hardware in-the loop (HIL) emulation is carried out using Typhoon HIL 402.