Synchrophasors present electric utilities with a particularly challenging combination of data volume and velocity. A synchrophasor measures electrical waves on the grid up to 30 times per second, using a common time source to synchronize with other measurement devices on the grid. Suppose a utility places one synchrophasor at each of its 50 most critical substations–that’s potentially 90,000 data points streaming into the utility each minute, or nearly 130 million data points a day. Traditional visual data analytics applications for utilities can’t keep up with that pace.
Data from synchrophasors becomes more meaningful and valuable when enriched with information from GIS, mobile workforce management, weather, and other internal and external systems. However, this variety of data further complicates the analytics and visualization challenge.
Utility operators need an intuitive and informative user experience that also transforms big data into little data by simplifying the complexity of synchrophasor systems. Situational intelligence brings together information from several systems in real-time and display it within the context of the service territory map. Operators can call up multiple views and dashboards, focusing their efforts on maintaining voltage stability and reducing oscillation, instead of wrestling with the overwhelming volume and velocity of data.
This video from the 2104 NASPI Oscillation Detection and Voltage Stability Workshop shows an example of a situational intelligence application helping utility operators make sense of synchrophasor data.