Trend capture in power quality monitoring

This paper presents a method to identify similarities between power quality (PQ) events that may occur on a distribution system. Certain characteristics of a new event, such as its magnitude, duration, time of the day it occurs and the phases affected, are compared with those of past events to detect “trends” that will help a PQ engineer to determine the probable cause of the event. The method can also be used to filter large amounts of power quality data obtained from PQ disturbance recorders that are installed on the power system as part of a large scale PQ monitoring program in a utility. Actual field data from such a PQ monitoring program is used to test the method