Transmission Line Fault using Line Voltages and Currents as Features

Citation Author(s):
Paul Michael
Custodio
Department of IT Convergence Engineering, Kumoh National Institute of Technology
Dong-Seong
Kim
Department of IT Convergence Engineering, Kumoh National Institute of Technology
Jae-Min
Lee
Department of IT Convergence Engineering, Kumoh National Institute of Technology
Submitted by:
Paul Michael Cu...
Last updated:
Tue, 03/26/2024 - 06:02
DOI:
10.21227/6rmd-f728
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Abstract 

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

Instructions: 

Use the dataset as it is. The two output labels are the targets with the voltage and current as the features.

Comments

srjhnrjmn

Submitted by PIYUSH PARWANI on Thu, 10/12/2023 - 05:18

I want to access this data for research purposes

Submitted by PIYUSH PARWANI on Thu, 10/12/2023 - 05:19

Please provide access to dataset

Submitted by Gayatri Suru on Thu, 10/26/2023 - 12:44