• DocumentCode
    2633083
  • Title

    Distribution automation case study: Rapid fault detection, isolation, and power restoration for a reliable underground distribution system

  • Author

    Gomes, David ; Colunga, Richard ; Gupta, Payal ; Balasubramanian, Ashok

  • Author_Institution
    CenterPoint Energy, USA
  • fYear
    2015
  • fDate
    March 30 2015-April 2 2015
  • Firstpage
    325
  • Lastpage
    334
  • Abstract
    Electric utilities continue to deploy innovative technologies in power distribution systems to reduce outage time and provide more reliable delivery of electric power. Fault location and fast service restoration are challenging in underground looped distribution feeder systems electrically separated by normally open switches. Traditional fault location detection methods are time-consuming, labor intensive, costly, and detrimental to field equipment. This paper describes the objectives and operating principles of a centralized and automated underground distribution automation system (UDAS) that was developed and applied for rapid fault detection, isolation, and service restoration. The UDAS significantly reduced outage time and maintenance costs by executing tasks that were previously done manually by a field crew, therefore improving the performance of the distribution system.
  • Keywords
    fault diagnosis; power distribution reliability; power system restoration; underground transmission systems; distribution automation case study; fault isolation; maintenance costs; outage time; power distribution systems; power restoration; rapid fault detection; reliable underground distribution system; service restoration; underground distribution automation system; Automation; Circuit faults; Monitoring; Optical fiber devices; Relays; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Protective Relay Engineers, 2015 68th Annual Conference for
  • Conference_Location
    College Station, TX
  • Print_ISBN
    978-1-4799-8721-4
  • Type

    conf

  • DOI
    10.1109/CPRE.2015.7102176
  • Filename
    7102176