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Grid Monitoring using Solar SCADA Dataset

机译:使用Solar Scada数据集电网监控

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摘要

Grid is framed as a planned nationwide network that makes use of information so as to deliver electricity in an efficient, reliable and secure manner. This entire electrical system is very difficult to monitor because any rise or fall of electrical impulses, in this system may result in the damage of highly expensive electrical components, as a result causes failure to an entire system. Therefore, there is dire need of controlling such damage of these synchronous machines and other component appliances so that these failures are avoided, which may result in loss of life and property. We have used various data mining approaches on a SCADA dataset which has been derived from solar electric power plant and is being monitored by grid station. The data pertains to the real time values pertaining to voltage and current. The proposed research uses this real time data for constructing a probabilistic model to respond to the above problem in a very intelligent manner.
机译:网格被诬陷为计划的全国网络,利用信息,以便以高效,可靠和安全的方式提供电力。 这种整个电气系统非常难以监测,因为在该系统中的任何升高或下降,可能导致高度昂贵的电气部件的损坏,结果导致整个系统失败。 因此,有需要控制这些同步机器和其他组件设备的这种损坏,从而避免了这些故障,这可能导致生命和性能丧失。 我们在SCADA数据集上使用了各种数据挖掘方法,该数据集由太阳能电力电厂衍生,并由网格站监控。 数据涉及与电压和电流有关的实时值。 所提出的研究使用该实时数据来构建概率模型以以非常智能的方式响应上述问题。

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