Transmission Line Fault using Line Voltages and Currents as Features

Different faults are experienced by a power system, particulary in transmission lines. In this dataset, the IEEE 5-Bus Model was used to different types of transmission line faults.Indication of the label of the faults come from the time that the fault has been induced in the simulation.This dataset aims to be utilized for machine learning algorithms, particularly in multi-class classification of the transmission line fault. In this simulation, each fault was induced at each transmission line one instance at a time during a certain period.The features of this data set are the line voltages (Va, Vb, Vc) and line currents (Ia, Ib, Ic) of each phase of each transmission line. Forming a total of forty-two (42) features, having two output targets: Type of Fault and Fault Location.Fault Types are labeled as follows: No fault, L-L-L, L-L-L-G, DLG, L-L, SLG, Line faultFault Location are as follows: No fault, L12, L13, L23, L24, L25, L34, L45

本数据集记录了电力系统在传输线路中遭遇的各类故障。其中，IEEE 5-母线模型被用于模拟不同类型的传输线路故障。故障标签的指示源于模拟中故障诱发的时刻。该数据集旨在应用于机器学习算法，尤其是在传输线路故障的多类别分类任务中。在本次仿真中，每种故障均在特定时段内依次在每条传输线路上诱发一个实例。数据集的特征包括每条传输线每相的线路电压（Va, Vb, Vc）和线路电流（Ia, Ib, Ic），共计四十二（42）个特征。该数据集拥有两个输出目标：故障类型和故障位置。故障类型标记如下：无故障、L-L-L、L-L-L-G、DLG、L-L、SLG、线路故障。故障位置标记如下：无故障、L12、L13、L23、L24、L25、L34、L45。