• DocumentCode
    1599405
  • Title

    Determining power transformers´ sequence of maintenance and repair in power grids

  • Author

    Fischer, Markus ; Tenbohlen, Stefan ; Schäfer, Michael ; Haug, Reinhold

  • Author_Institution
    Inst. of Power Transm. & High Voltage Technol., Univ. Stuttgart, Stuttgart, Germany
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Utilities need to ensure high reliable power grids that are cost-efficient as well. Periodic replacements are costly. So utilities try to extend the life-span of their power transformers. However, the older power transformers the higher the effort for maintenance and repair. Thus it is necessary to provide just the right maintenance and repair capacity to ensure a certain reliability of supply. Hence, short maintenance and repair capacities need to be efficiently distributed over a fleet of power transformers. An efficient distribution of maintenance and repair capacities means that - according to some selected criteria - one power transformer would be maintained or repaired before another. The paper introduces two criteria in order to assess the status of power transformers: condition classes and default risk. Power transformers are initially assorted in one of the following four condition classes: "not aged, not worn out", "aged", "worn out (not noticeably)" and "worn out (noticeably)". Between the classes a sequence of maintenance and repair is introduced. Within these classes the default risk is used in order to define a sequence of maintenance and repair. A power transformer\´s default risk is defined as product of importance (impact of the outage on the power grid and on the power transformer) and wearout. In order to determine the wearout of a power transformer one need first to identify transformer\´s components. Then the components\´ function and wearout need to be identified (by construction plan) and assessed by inspection, respectively. The paper deals with the inspection of a very important power transformer component, namely the insulating system. The inspection is performed by dissolved gas analysis and oil characteristics. A new interpretation method for each of them is used in order to asses the condition of the insulation system. The interpretation methods use some concepts to overcome certain limits during mapping between feature and condition spa- - ce. The maintenance and repair concept will finally be validated with practical data that originate from a homogeneous and a heterogeneous group of power transformers.
  • Keywords
    inspection; maintenance engineering; power grids; power transformer insulation; risk management; asset management; default risk; dissolved gas analysis; inspection assessment; insulating system; interpretation methods; oil characteristics; power grid maintenance; power transformer condition classes; power transformer sequence determination; repair; transformer components; Aging; Costs; Inspection; Maintenance; Oil insulation; Petroleum; Power grids; Power transformer insulation; Power transformers; Resource management; Asset management; aging; cellulose; condition assessment; default risk; defect; dissolved gas analysis; fuzzy inference system; insulation system; maintenance; oil; oil characteristics; power transformer; repair; replacement; training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation (ISEI), Conference Record of the 2010 IEEE International Symposium on
  • Conference_Location
    San Diego, CA
  • ISSN
    1089-084X
  • Print_ISBN
    978-1-4244-6298-8
  • Type

    conf

  • DOI
    10.1109/ELINSL.2010.5549785
  • Filename
    5549785