Power system data management and analysis using synchrophasor data

This paper provides a synchrophasor data analysis methodology that leverages statistical correlation techniques in order to identify data inconsistencies, as well as power system contingencies. Included in this analysis are the techniques for data management that are used to process the high-granularity and high-cardinality data gathered from synchrophasor sensors - also know as Phasor Measurement Units (PMUs). This research utilizes real, archived PMU data obtained from the Western Electric Coordinating Council (WECC) in order to show that this methodology is not only feasible, but extremely useful for power systems monitoring, decision support, and planning purposes. The results presented indicate preliminary identification of PMU data issues, as well as power system instabilities.