• DocumentCode
    1855746
  • Title

    Monitoring HV transformer conditions: The strength of combining various diagnostic property observations

  • Author

    Montanari, Gian Carlo ; Morshuis, Peter ; Cervi, Alan

  • Author_Institution
    DEI, Univ. of Bologna, Bologna, Italy
  • fYear
    2015
  • fDate
    7-10 June 2015
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    Power utilities are constantly increasing their demand for on-line monitoring systems able to dynamically assess the condition of their electrical assets, in order to perform cost-effective maintenance. The power transformers connected to the transmission and distribution networks represent a wide population of electrical apparatus where the on-line monitoring of their overall conditions can allow maintenance and asset manager to prevent major outages or damages, having sometimes cost higher than the whole apparatus. The condition, or health index, of a transformer can be assessed by off-line and on-line property measurements, repeated in time or monitored permanently. This paper presents the results of a case study of on-line monitoring of HV power transformers, considering different techniques available such as partial discharge analysis, dissolved gas analysis, and capacitance and loss tangent measurements. It is highlighted how the combined results of the different techniques allows condition evaluation and early detection of insulation problems or faults to be achieved.
  • Keywords
    condition monitoring; fault diagnosis; power distribution reliability; power transformer insulation; power transmission reliability; HV power transformer condition monitoring; cost-effective maintenance; distribution network; fault detection; insulation problem detection; on-line monitoring system; outage prevention; power utility; transmission network; Capacitance; Hydrogen; Monitoring; Power measurement; Sensitivity; DGA; diagnostics; loss tangent; monitoring; partial discharge; transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation Conference (EIC), 2015 IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4799-7352-1
  • Type

    conf

  • DOI
    10.1109/ICACACT.2014.7223590
  • Filename
    7223590