Topology identification in distribution system via machine learning algorithms
收藏Figshare2021-05-04 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Topology_identification_in_distribution_system_via_machine_learning_algorithms/14123018/2
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We consider 7 switch devices in simulation, implying 7 states for possible events, and correspondingly, 7 voltage curves in the related time domain for 15 seconds (the simulation time duration). We set the voltage changes per second as a first feature. Maximum and minimum of the instantaneous voltage are considered as second and third features. Hence, the first column of Excel files in the supplementary material describes when the event occurs. Voltage changes, its maximum, and minimum are featured in the second, third, and fourth columns. Each Excel file indicates one state of event or fault, including transient voltage and type of fault. <br>
本仿真场景中共设置7台开关设备,对应7种潜在事件状态,同时在对应时域内生成总时长15秒的7组电压曲线(仿真总时长为15秒)。我们将每秒电压变化量作为首个特征,瞬时电压的最大值与最小值分别作为第二、第三项特征。因此,补充材料中各Excel文件的第一列用于标注事件发生时刻,第二、第三、第四列则分别对应电压变化量、电压最大值与电压最小值。每份Excel文件对应一种事件或故障状态,涵盖暂态电压(transient voltage)与故障类型信息。
创建时间:
2021-05-04



