Abstract
The power quality domain in power system networks has received more attention recently because of the increase in sensitive equipment, non-linear load disturbances, and the utilization of Renewable Energy Sources (RES). In case of distributed generation, which could occur from consumers to utilities, power quality quantifies the suitability of electric power supplied from the utilities to the commercial, industrial, and residential users. A minimum of half of the total disruptions to power quality are related to voltage quality. This research concentrated an amplitude-frequency estimation based methods, Power quality Disturbance Classification and Filtering techniques for harmonic mitigation. The enhancement of power quality in a three-phase nonlinear load power system is the subject of this research. Shunt Active Power Filter (SAPF) is used in real-time applications for fault detection and harmonic suppression. The suggested work uses a digital signal processor (DSP) (28335) and a shunt active power filter (SAPF) to achieve power quality disturbance detection and harmonic reduction on hardware system. In addition to applying shunt compensation devices for harmonic detection, the designed hardware model is tested for power quality disturbance categorization of voltage sag, harmonics, and interruption and Total Harmonic Distortion (THD) is 4.3% in this case. The overall implementation of the hardware using -Fuzzy algorithm is found to be satisfactory.
Keywords: Digital Signal Processor (28335), Fuzzy Logic Controller, Sensor, Shunt Active Power Filter, Three Phase Inverter