High Impedance Fault Detection and Isolation in Power Distribution Networks using Support Vector Machines

This paper proposes an accurate High Impedance Fault (HIF) detection and isolation scheme in a power distribution network. The proposed schemes utilize the data available from voltage and current sensors. The technique employs multiple algorithms consisting of Principal Component Analysis, Fisher Di...

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Veröffentlicht in:	arXiv.org 2019-08
Hauptverfasser:	Sarwar, Muhammad, Mehmood, Faisal, Abid, Muhammad, Abdul Qayyum Khan, Sufi Tabassum Gul, Adil Sarwar Khan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science - Systems and Control Computer simulation Conductors Discriminant analysis Electric power distribution Fault detection Fault diagnosis Fault location High impedance Machine learning Network reliability Networks Principal components analysis Support vector machines
Online-Zugang:	Volltext
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