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Big Data for Smart Grid Operation in Smart Cities

机译:智能城市智能电网运行的大数据

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With increasing demand for providing quality power to smart cities, the conventional power grids are making way for smart grids that can accommodate power generated from multiple sources. To facilitate the operation, maintenance and management of the smart grid, thousands of sensors, IoTs, actuators, intelligent electronic devices are deployed in all segments of the smart grid, which involve operations related to power generation, distribution and consumption. These sensors/devices keep generating voluminous amount of data all through the day in smart city environment, and therefore analyzing the Big data so generated is a major challenge especially on two counts. The first challenge is to devise a mechanism to collect heterogeneous data from different sources and the second is to devise Big data analytics to facilitate monitoring, control and management activities of smart grid. In this paper, we identify the key challenges for utilizing Big data generated by the smart grid and develop the analytics necessary for operation, monitoring, control and audit of smart grid. We also discuss the implementation of SWIFT - an ICT backbone architecture for smart cities, which we developed earlier, for smart grid applications.
机译:随着对智能城市提供质量动力的越来越大,传统的电网正在为智能电网制作,可以适应从多个来源产生的电力。为了便于智能电网的操作,维护和管理,智能电网的所有段都部署了数千个传感器,IOT,执行器,智能电子设备,涉及与发电,分配和消耗相关的操作。这些传感器/设备在智能城市环境中全部通过当天始终产生大量数据,因此分析了如此产生的大数据是一个主要挑战,特别是在两个计数上。第一个挑战是设计一种从不同来源收集异构数据的机制,第二个是设计大数据分析,以便于智能电网的监测,控制和管理活动。在本文中,我们确定了利用智能电网生成的大数据的关键挑战,并开发了智能电网的操作,监控,控制和审计所需的分析。我们还讨论了SWIFT的实施 - 我们在智能电网应用程序开发的智能城市的ICT骨干架构。

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