• DocumentCode
    2591728
  • Title

    Component Reliability Prognosis in Asset Management Methods

  • Author

    Schwan, Michael ; Schilling, Klaus ; Zickler, Uwe ; Schnettler, Armin

  • Author_Institution
    Siemens AG, Erlangen
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In liberalized markets, the ever increasing cost pressure forces utilities to operate their networks as efficient as possible. At the same time, social and political requirements force them to maintain high power quality levels. In this delicate area of conflict, comprehensive and detailed asset management methods-considering both costs of network supply and delivered power quality-are essential for long-term success. Such comprehensive asset management methods comprise probabilistic reliability calculations, both for the current network state and also for expected future scenarios considering the long-term effects of decisions. In this respect, the prognosis of component reliability performance in dependency of the chosen asset management strategies is a vital necessity. However, suitable models and data for such prognosis are not easily available. This paper presents a comprehensive asset management approach with special focus on the relevance of component reliability prognosis. Main results of a recent German research project in this field, including calculations for an exemplary application, are presented
  • Keywords
    power distribution economics; power distribution reliability; power supply quality; power system management; socio-economic effects; German research project; asset management; component reliability prognosis; costing; liberalized markets; power quality; probabilistic reliability calculations; social-political requirements; Asset management; Costs; Electronic mail; Industrial economics; Maintenance; Power generation economics; Power quality; Power system management; Power system reliability; Project management; Asset management; Component reliability; Distribution networks; Failure statistic; Probabilistic reliability calculation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360287
  • Filename
    4202299