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

电力系统时常会遭遇各类故障，尤以输电线路场景为甚。本数据集基于IEEE 5节点模型（IEEE 5-Bus Model）构建，模拟了输电线路的多种故障类型。故障标签的生成依据为仿真中故障注入的时刻。本数据集旨在服务于机器学习算法，尤其适用于输电线路故障的多分类任务。本次仿真中，在特定周期内，每条输电线路每次仅注入一个故障实例。本数据集的特征为每条输电线路各相的线路电压（Va、Vb、Vc）与线路电流（Ia、Ib、Ic），总计42个特征维度；输出目标包含两类：故障类型与故障位置。故障类型标签如下：无故障（No fault）、三相短路（L-L-L）、三相短路接地（L-L-L-G）、双相接地短路（DLG）、双相短路（L-L）、单相接地短路（SLG）、线路故障（Line fault）。故障位置标签如下：无故障、L12、L13、L23、L24、L25、L34、L45