Detecting and Classifying PQD's occur in Microgrid by Scaling Basis Chirplet Transform and SVM classifier based Technique

In recent days, with the increase of industrial loads and residential loads need of local sources is increased. Renewable energy sources became alternative energy local sources and its integration to grid give rise to Microgrid concept. constant increase of loads give rise to Power Quality issues such as Power Quality Disturbances (PQD's). These PQD's causes interruption in power supply and leads to damage the grid. This made researchers to do research on PQD detectors or power quality analysers. Researchers still facing hurdles to detect these Power Quality issues due to type of grid, addition of loads and mode of operation. In this Paper PQD's are detected and classified through a novel combination technique based on scaling basis chirplet transform signal processing technique and support vector machine classifier. All the simulation and code work carried out in MATLAB software.