• 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