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
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