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Monitoring Method and Application of Power Dispatching Automation Master Station Based on Clustering Algorithm

机译:基于聚类算法的电力调度自动化主站的监测方法与应用

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This paper proposes a monitoring method of power dispatching automation master station based on clustering algorithm. Based on the application of history data, this method constructs multi-dimensional space vector, and generates operation state knowledge base by clustering algorithm. Real time data can be monitored and classified by using the generated knowledge base. The validity of the method is verified by a period of basic data. The results show that the method has better ability and accuracy to monitor power dispatching automation master station system, and it can provide reference for the selection of monitoring method of power dispatching automation master station.
机译:本文提出了一种基于聚类算法的电力调度自动化主站的监测方法。基于历史数据的应用,该方法构造了多维空间向量,并通过聚类算法生成操作状态知识库。可以通过使用生成的知识库来监视和分类实时数据。该方法的有效性通过基本数据验证。结果表明,该方法具有更好的能力和准确性来监控电源调度自动化主站系统,可以参考电力调度自动化主站的监控方法。

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