Stream computing based synchrophasor application for power grids

This paper proposes an application of stream computing analytics framework to high speed synchrophasor data for real time monitoring and control of electric grid. High volume streaming synchrophasor data from geographically distributed grid sensors (namely, Phasor Measurement Units) are collected, synchronized, aggregated when required and analyzed using a stream computing platform to estimate the grid stability in real time. This real time stability monitoring scheme will help the grid operators to take preventive or corrective measures ahead of time to mitigate any disturbance before they develop into wide-spread. A protptype of the scheme is demonstrated on a benchmark 3 machines 9 bus system and the IEEE 14 bus test system. © 2011 ACM.