DocumentCode
2042041
Title
Comparing system reliability considering insufficient knowledge: Application to HVDC converter stations
Author
Kochs, H.-D. ; Kongniratsaikul, P. ; Lutz, F.
fYear
2012
fDate
22-26 July 2012
Firstpage
1
Lastpage
8
Abstract
The authors describe and apply a reliability evaluation approach for comparison of the reliability respectively availability of different types of HVDC converter stations taken into account limited statistical data, insufficient information, and differences in technology. To overcome these difficulties the idea of MIL-HDBK-217F ("Part Count Reliability Prediction"), established for electronic and microelectronic devices based on "well-defined" components and well-known base failure rates, is applied in a similar sense to HVDC converter stations. Nevertheless, differences of such two distinct areas have been considered. The components in electric power stations are usually custom designed, and can be regarded as abstract units (macro components with possibly different technology, structure and protection), therefore, statistical data can be very limited due to data complication and compilation. The described approach is not only restricted to the described HVDC converter stations but can be regarded as a (extensible) procedure for similar problems, especially in early design stage.
Keywords
HVDC power convertors; HVDC power transmission; failure analysis; power transmission reliability; statistical analysis; substations; HVDC converter stations; MIL-HDBK-217F; base failure rates; electric power stations; microelectronic devices; part count reliability prediction; reliability evaluation approach; statistical data; system reliability; Availability; HVDC transmission; Maintenance engineering; Power conversion; Valves; Availability; HVDC transmission; Reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4673-2727-5
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PESGM.2012.6344685
Filename
6344685
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