DocumentCode
2277595
Title
Indexing the actual condition of GIS at the component level, bay level, and the GIS level
Author
Al-Suhaily, Muhannad ; Meijer, Sander ; Smit, Johan J. ; Sibbald, Peter
Author_Institution
Delft Univ. of Technol., Delft, Netherlands
fYear
2012
fDate
17-20 Sept. 2012
Firstpage
536
Lastpage
540
Abstract
Indicating the actual condition of the High voltage Gas Insulated Substations (GIS) and its components is a very helpful tool to the asset manager. It gives indication if a failure would occur and hence, give the possibility to prevent it by igniting the suitable maintenance action. For this purpose, three indicators are used to express the condition of the GIS. These are Good, Fair, and Poor. These three condition indicators are used to indicate the condition of the GIS at three different levels, namely: The component level, at this level the GIS components is distinguished and their actual condition is indicated. The GIS components are for instant, the switching components, measuring transformers, and surge arresters . The bay level, at this level the actual condition of the busbar system and the different type bays in GIS are indicated . The GIS level is the highest level, in this level the condition of the GIS substation as one unit is indicated This division of the GIS substation into three levels gives the asset manager the possibility to identify the condition of the asset as one unit i.e. at the GIS level and at a detail ed level i.e. the components level.
Keywords
arresters; gas insulated substations; maintenance engineering; power transformers; GIS level; asset manager; bay level; component level; high voltage gas insulated substation; maintenance action; surge arrester; switching component; transformer measurement; Conferences; Gas insulation; Logic gates; Maintenance engineering; Market research; Reliability; Substations;
fLanguage
English
Publisher
ieee
Conference_Titel
High Voltage Engineering and Application (ICHVE), 2012 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4673-4747-1
Type
conf
DOI
10.1109/ICHVE.2012.6357090
Filename
6357090
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