The first system represents a basic synchronous generator model connected to a grid. It allows monitoring of key parameters like active power (Peo), reactive power (Qeo), and rotor speed (wm). However, it operates in a relatively simple setup without advanced control mechanisms for grid variations.
The second system is a more advanced synchronous generator model with a turbine governor, designed to handle dynamic grid conditions. This system can regulate mechanical input power (Pm) and excitation voltage (Vf) based on grid variations. This model interacts with a grid that experiences frequency changes, but this is more advanced for get real grid variation. Therefore, our supervisor advised using actual grid data for more accurate performance analysis and control strategies.