Fault location techniques for simultaneous faults in power distribution systems with distributed generations

Wen Fan, Yuan Liao

Producción científica: Conference contributionrevisión exhaustiva

1 Cita (Scopus)

Resumen

Modern electric power systems are witnessing deployment of an increasing number of distributed renewable energy resources. Reliability of grid infrastructure plays a key role in increased use of renewable energies. Fault management is a key function in reducing outage time and increasing system reliability. In the past, various fault location methods have been proposed for electric power distribution systems. Most existing fault location methods are applicable to single faults and require a number of measurements. This paper proposes new algorithms for locating simultaneous, multiple faults for distribution systems using limited number of data. The method utilizes the voltage measurements taken from the systems. Bus impedance matrix techniques is harnessed to establish the connection between the fault locations of multiple faults and the measurements. The distinct features of the method include no need of fault type classification, consideration of shunt capacitance of long feeders, applicability to any type of faults, and suitability to systems with distributed generations. Evaluation studies have shown promising results. The methods can be integrated into existing distribution management system for enhanced fault management capability for power systems with distributed renewable energy sources.

Idioma originalEnglish
Título de la publicación alojada2017 Sensors Networks Smart and Emerging Technologies, SENSET 2017
Páginas1-8
Número de páginas8
ISBN (versión digital)9781509060115
DOI
EstadoPublished - nov 29 2017
Evento1st International Conference on Sensors Networks Smart and Emerging Technologies, SENSET 2017 - Beriut, Lebanon
Duración: sept 12 2017sept 14 2017

Serie de la publicación

Nombre2017 Sensors Networks Smart and Emerging Technologies, SENSET 2017
Volumen2017-January

Conference

Conference1st International Conference on Sensors Networks Smart and Emerging Technologies, SENSET 2017
País/TerritorioLebanon
CiudadBeriut
Período9/12/179/14/17

Nota bibliográfica

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Biomedical Engineering
  • Instrumentation

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