A data-driven analysis of outage duration in power distribution systems
A data-driven analysis of outage duration in power distribution systems
复制标题
配电系统停电持续时间的数据驱动分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
B. Chowdhury
中科院分区：
文献类型：
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作者：
M. Doostan;B. Chowdhury
本文提出了一种数据驱动的方法来研究配电系统的停电持续时间。主要目标是根据根本原因分析和解释停电持续时间，并确定强烈影响停电持续时间的重要变量。为了进行这项研究，使用了一家在美国东南部有业务的大型公用事业公司收集的实际停电数据。首先，讨论了与停电数据集相关的实际问题，并执行了必要的数据预处理任务。然后，进行两种类型的分析，即统计分析和视觉分析，以调查可能导致停机持续时间的几个特征。此外，还提供了现场工程见解来解释定量结果。最后，通过使用数据分析算法来检查所有特征的重要性，并确定最重要的特征。本白皮书的结果可用于公用事业公司加强其停电管理系统，并获得有价值的信息，以便进行必要的预防性维护，以减少未来停电的持续时间。
This paper presents a data-driven approach for exploring outage duration in power distribution systems. The primary goals are to analyze and interpret the outage duration according to the underlying causes and to identify significant variables that strongly impact the outage duration. To carry out this study, actual outage data collected by a major utility company that has operations in the southeastern US is utilized. First, practical issues associated with the outage data set are discussed, and necessary data pre-processing tasks are carried out. Afterward, two types of analysis, namely statistical and visual analytics are conducted to investigate several features that could contribute to outage durations. Also, field engineering insights are provided to interpret the quantitative results. Finally, the importance of all features is examined by employing a data analytics algorithm and the most important features are identified. The results of this paper could be used by utilities to enhance their outage management systems and to gain valuable information for carrying out essential preventive maintenance for the purpose of reducing the duration of future outages.