Abstrait

Enhancement Power Quality with Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy Logic Base on DVR

Mohamed Mohamed Khaleel

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. Voltage sag is one of the most significant power quality problems challenging at present time. This paper discussed modeling of a DVR with PI controller, Sugeno-type Fuzzy Logic and Mamdani-type Fuzzy Logic using Matlab/Simulink in order to mitigate voltage sag. Then analyze the performance of DVR in order to solve the problem of voltage sag by installed DVR between the supply voltage and a sensitive load, DVR has injected the current to the distribution network during voltage sag. Consequence showed that PI control was able successfully to overcome the voltage by 93.00, 86.50, and 80.25 percents in single-phase, two-phase and three-phase respectively. Sugeno-type Fuzzy Logic was able successfully to overcome the voltage 98.05, 96.40 and 94.20 percents in single-phase, two-phase and three-phase respectively. Mamdani-type Fuzzy Logic was able successfully to overcome the voltage 97.6, 93.3 and 91.60 percents in single-phase, two-phase and three-phase respectively. Sugeno-type Fuzzy Logic showed to be better perfomance for solving voltage sag problem of power quality than Mamdani-type Fuzzy Logic. Mamdani-type Fuzzy Logic showed to be better for solving voltage sag problem of power quality than PI control. The analyze of the performance proved that DVR is the most efficient and effective modern customer power device used in distribution network which able to keep the customer on-line with high quality. It can be seen by the preceding information. DVR was able to mitigate voltage sag on distribution networks due voltage sag.