Increased adoption and deployment of phasor measurement units (PMU) has
provided valuable fine-grained data over the grid. Analysis over these data can
provide insight into the health of the grid, thereby improving control over
operations. Realizing this data-driven control, however, requires validating,
processing and storing massive amounts of PMU data. This paper describes a PMU
data management system that supports input from multiple PMU data streams,
features an event-detection algorithm, and provides an efficient method for
retrieving archival data. The event-detection algorithm rapidly correlates
multiple PMU data streams, providing details on events occurring within the
power system. The event-detection algorithm feeds into a visualization
component, allowing operators to recognize events as they occur. The indexing
and data retrieval mechanism facilitates fast access to archived PMU data.
Using this method, we achieved over 30x speedup for queries with high
selectivity. With the development of these two components, we have developed a
system that allows efficient analysis of multiple time-aligned PMU data
streams.Comment: Published in Electric Power Systems Research (2016), not available
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