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 fault
Fault Location are as follows: No fault, L12, L13, L23, L24, L25, L34, L45
Use the dataset as it is. The two output labels are the targets with the voltage and current as the features.