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dc.contributor.authorDalamaras, Petros
dc.contributor.authorZdrallek, Markus
dc.contributor.authorGroß, Ulrich
dc.contributor.authorKnapp, Martin
dc.contributor.authorSchulze, Heike
dc.contributor.authorKlöckner, Patrick
dc.contributor.authorStraube, Axel
dc.contributor.authorGawlitta, Ralf
dc.date.accessioned2019-07-24T12:39:14Z
dc.date.available2019-07-24T12:39:14Z
dc.date.issued2019-06-03
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/309
dc.identifier.urihttp://dx.doi.org/10.34890/537
dc.description.abstractThe ageing infrastructure, in conjunction with incentives to improve power quality and reliability of supply, pose considerable challenges for distribution system operators (DSOs). More and more components of electric power grids are on the verge of reaching their assumed maximum service life. Today's DSOs apply modern and optimised maintenance, as well as replacement strategies based on the knowledge of the actual condition of the operating electrical equipment. This enables an efficient and fair distribution of the limited budget over the individual grid areas. In addition to the condition of medium-voltage (MV) substations, knowledge of their ageing behaviour is essential for long-term, well-founded replacement strategies. The asset simulation tools used by DSOs are mostly based on the bathtub curve, which is intended to describe the hypothetical failure rate in the distribution grid versus time. This paper presents a new and innovative approach to derive condition-dependent ageing curves as a valid basis for decision making from the results of inspection data of MV substations. The more than 100.000 inspection results, available from eleven different DSOs, serve as a basis for this. In order to verify the ageing behaviour determined from the inspection data, extensive additional laboratory tests have been carried out on 84 MV switchgears. For the first time, significant findings regarding the actual ageing behaviour of MV substations can be obtained from the collected data and used for well-founded asset management decisions.
dc.language.isoen
dc.publisherAIM
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleAgeing behaviour of medium-voltage substations
dc.typeConference Proceedings
dc.description.conferencelocationMadrid, Spain
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.contributor.detailedauthorDalamaras, Petros, University of Wuppertal, Germany
dc.contributor.detailedauthorZdrallek, Markus , University of Wuppertal, Germany
dc.contributor.detailedauthorGroß, Ulrich, Rheinische NETZGesellschaft mbH, Germany
dc.contributor.detailedauthorKnapp, Martin, Rheinische NETZGesellschaft mbH, Germany
dc.contributor.detailedauthorSchulze, Heike, Mitteldeutsche Netzgesellschaft Strom mbH, Germany
dc.contributor.detailedauthorKlöckner, Patrick, MVV Netze GmbH, Germany
dc.contributor.detailedauthorStraube, Axel, SWS Netze Solingen GmbH, Germany
dc.contributor.detailedauthorGawlitta, Ralf, SWS Netze Solingen GmbH, Germany
dc.date.conferencedate3-6 June 2019
dc.description.peerreviewedYes
dc.title.number1129
dc.description.openaccessYes
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.contributor.countryGermany
dc.description.conferencenameCIRED 2019
dc.contributor.affiliationUniversity of Wuppertal
dc.contributor.affiliationUniversity of Wuppertal
dc.contributor.affiliationRheinische NETZGesellschaft mbH
dc.contributor.affiliationRheinische NETZGesellschaft mbH
dc.contributor.affiliationMitteldeutsche Netzgesellschaft Strom mbH
dc.contributor.affiliationMVV Netze GmbH
dc.contributor.affiliationSWS Netze Solingen GmbH
dc.contributor.affiliationSWS Netze Solingen GmbH
dc.description.sessionNetwork components
dc.description.sessionidSession 1


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