Mining time-changing data streams
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Online event-driven subsequence matching over financial data streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Data streams: algorithms and applications
Foundations and Trends® in Theoretical Computer Science
SPADE: the system s declarative stream processing engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Hi-index | 0.00 |
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.