Static Synchronous Compensator (STATCOM) Based Neural Network to Reducing System Oscillations and Improving Dynamic System Performance

The stability of the electrical network is considered a major challenge in the development of energy systems based on various sources. This research provides a comparison of the dynamic performance of FACTS devices such as STATCOM. These techniques, which are integrated stability devices with a multi-source power system, are used. The neural network technology unit is used to control FACTS devices to enhance the performance of power sources under abnormal and different conditions. Testing is conducted under conditions of three-phase short circuit to ground at different locations in the system. MATLAB/Simulink is used for modeling and simulation. The obtained results demonstrate the impact of the control unit based on STATCOM in reducing system oscillations and improving dynamic system performance during the post-fault period. The confirms the superior dynamic performance and quick fault recovery of the control unit.