Stream computing framework for outage detection in smart grid

Implementation of Advanced Metering Infrastructures can improve system performance indices like CAIDI and SAIDI. But data generated by AMI systems are now grow to the level of big data by connecting millions of consumers to the smart grid. If high speed data processing techniques are applied then system response time to detect events will be reduced and hence time taken to plan and execute action can be shortened. This will directly improve the performance indices of smart grid. This paper reveals the potential of stream computing applied to AMI data processing to detect outages. Faster detection of outages leads to faster initiation of outage restoration actions.