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Stream computing framework for outage detection in smart grid

机译:用于智能电网中断检测的流计算框架

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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.
机译:先进计量基础设施的实施可以改善诸如CAIDI和SAIDI之类的系统性能指标。但是,通过将数百万的消费者连接到智能电网,AMI系统生成的数据现在已增长到大数据级别。如果应用高速数据处理技术,则用于检测事件的系统响应时间将减少,因此可以缩短计划和执行操作所需的时间。这将直接提高智能电网的性能指标。本文揭示了将流计算应用于AMI数据处理以检测中断的潜力。更快地检测到故障会导致中断恢复动作的更快启动。

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