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Analysis of sequences of events for the characterisation of faults in power systems

机译:分析事件序列以表征电力系统中的故障

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A new formalism is described for the systematic analysis of sequences of events recorded in power systems. It aims to characterise sequential patterns, or episodes, formed by ordered sets of events associated with faults in the power system. The work introduces formal definitions to deal with sequences of events that are exemplified and evaluated in a case study. A sequence of events is a set of dated events recorded at a single point of the network during a specific period of time. However, only some subsets of them are of interest, either because they present similar features (shape, duration, etc.) or because they are related in a way that allows them to be considered together (timing, periodicity, etc.). These subsets of significant events in a sequence are called episodes and are instances of possible patterns that define how permanent and transient faults behave. With this goal, the authors evaluate the use of a priori patterns and a pattern discovery algorithm in sequences of electrical events recorded in different substations as part of the case study.
机译:描述了一种新的形式主义,用于系统分析电力系统中记录的事件序列。它旨在表征由与电力系统故障相关的事件的有序集合形成的顺序模式或情节。这项工作引入了正式的定义,以处理在案例研究中举例说明和评估的事件序列。事件序列是在特定时间段内在网络的单个点上记录的一组带日期的事件。但是,由于它们呈现相似的特征(形状,持续时间等),或者因为它们以允许将它们一起考虑的方式关联在一起(时间,周期性等),因此仅关注其中的一部分子集。序列中重要事件的这些子集称为情节,是定义永久性故障和瞬态故障行为的可能模式的实例。以此为目标,作为案例研究的一部分,作者评估了先验模式和模式发现算法在不同变电站中记录的电气事件序列中的使用。

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