The simulation results show that the proposed system can improve not only small signal stability (steady state stability) but also dynamic stability. The rotor angle and frequency deviation of the power system are compared without a controller, with a PSS and SMES included, and with the PSS and SMES tuned by FA.
In those studies, systems using stabilizer with and without time-delay has been investigated. The major objectives are: To determine whether the system is stable or unstable with a critical clearing time for a three-phase fault. After we’ve made ourselves familiar with the MATLAB/Simulink environment building a small power system model, we will move on to build a large power system model which includes several generators, transformers, transmission lines, loads, and capacitor banks. It is basically a transfer function and block diagram representation of the system equations. For testing the small signal stability, the eigenvalue of the system will be investigated, while for dynamic stability the system will be given an external disturbance. designed an AVR system using MATLAB/Simulink and the performance of the system was evaluated using PID controller and stabilizer. transient stability study of a multi-machine power system was developed using Simulink. The simulation of the power system, PSS, and SMES has been performed using MATLAB and Simulink, and the FA run in Matlab. To obtain optimal coordination, the parameters of the PSS and SMES are tuned using the Firefly Algorithm (FA). This work investigated the coordination of a PSS and SMES applied to a power system to enhance dynamic stability.
Devices such as a Power System Stabilizer (PSS) and a Superconducting Magnetic Energy Storage (SMES) are commonly employed in industry. Utilising additional devices in power systems have been developed by industry.