DocumentCode
3752963
Title
Power system fault detection, classification and location using the K-Nearest Neighbors
Author
Abdelmadjid Recioui;Brahim Benseghier;Hamza Khalfallah
Author_Institution
Laboratory signals and systems, Institute of Electrical and Electronic Engineering, University of Boumerdes, Avenue de l´ind?pendance, 35000, Algeria
fYear
2015
Firstpage
1
Lastpage
6
Abstract
Power systems are frequently subjected to faults. These faults can cause the destruction of expensive power system components such as motors, generators, and transformers, explosions due to over-voltages, high currents, outage and death. A power protection system is required in order to detect, classify, and locate the fault to clear it rapidly and to minimize the effects mentioned before. This paper deals with the detection, classification and location of power system faults on the IEEE 14 Bus Test Network using the K-Nearest Neighbors based on MATLAB/SIMULINK.
Keywords
"Circuit faults","Training","Power systems","Fault location","Support vector machines","Fault detection","Classification algorithms"
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2015 4th International Conference on
Type
conf
DOI
10.1109/INTEE.2015.7416832
Filename
7416832
Link To Document