Dynamic Voltage Restorer With Artificial Intelligent Controller For Voltage Sag Mitigation

Oleh :
Mohamed Mohamed Khaleel - S95120851 - Sekolah Pascasarjana

Power quality is closely related issues of most directly affect nowadays. It can be clear that electrical power quality is the degree of any deviation from the nominal rate of the voltage magnitude and frequency. This thesis discussed of a modeling of DVR with Park’s transformation, Sugeno and Mamdani-type fuzzy Logic using for mitigating voltage sag. To analyze the performance of DVR, an installed DVR between the supply voltage and a customer side, DVR has injected the current to the distribution network during voltage sag for single-phase, twophase, and three-phase fault scenario. The results showed that Park’s transformation was able successfully to overcome the voltage by 88%, 84%, and 81% in single-phase, two-phase and three-phase respectively. Next, the Sugeno and Mamdani fuzzy logic have been observed in terms of control to get performance of mitigating voltage sag. Sugeno-type fuzzy logic was able successfully to overcome the voltage 98%, 96% and 94% in single-phase, twophase and three-phase respectively. While Mamdani was able to overcome the voltage 98%, 96% and 94% in single-phase, two-phase and three-phase respectively. From the result analysis, it can be concluded that both fuzzy logic showed to be a better performance for solving voltage sag problem than Park’s transformation.