Feature construction, selection and revealing patterns of power quality event data

In this paper, a method for revealing the patterns in power quality event data based on the constructed, selected and eliminated features is described. The data are collected by the power quality (PQ) monitors, which are developed through the National PQ Project and installed on the electricity network. The PQ monitors detect the PQ events defined as voltage sags, swells, and interruptions by the IEC Standard 61000–4–30, and collect the raw data of the event. The proposed method aims to cope with the huge event data size and cluster the event types by examining the distribution and variation of the selected features so that PQ events are ultimately classified. The method helps to manage the event data to come up with PQ assessments for the specific measurement points and to make comparisons of various measurement points in terms of PQ of the electricity network.