Postprocessing of electric power quality data

System measurements made to assess power quality in a power system often result in a large volume of data. This is the case because, for a three phase system, three voltages and currents are sampled and even for modest time windows, the number of stored points can be very large. In this paper, post-measurement techniques are suggested to process the measured data. The main post-processing methods are related to probabilistic indices of power quality. The calculation of probability of compliance with the IEEE Standard 519 is discussed. The confidence of these calculations is also discussed. A deconvolu-tion method is demonstrated for calculating missing data.