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Algoritmer i en digital beredningsplattform för elnät
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2018 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

En digitalisering av elnätsberedning har lett till möjligheter att i en digital beredningsplattform undersöka möjligheterna för algoritmer vilka syftar till att effektivisera, kvalitetssäkra samt reducera miljöpåverkan. Rapporten behandlar en behovsundersökning av ett antal algoritmer i en beredningsplattform. Rapporten beskriver med grafiska metoder hur dessa algoritmer kan konstrueras, men även en metod för att tyda och transformera beredningsplattformens rådata till algoritmernas indata presenteras. De framtagna algoritmerna kan användas för underlag vid beslut, vilket kan leda till faktorer som minskad miljöpåverkan, ökad kvalitet och hållbarare samt effektivare arbetsprocesser. Ytterligare föreslås en framtida struktur med algebraisk grafteori för beräkningsalgoritmer i plattformen. 

 

Abstract [en]

Digitization of working methods has led to the possibility of investigating the possibilities for algorithms in a processing platform for power grids. This report presents a needs assessment for a number of algorithms in a processing platform for power grids. The report describes through graphical methods how such algorithms can be constructed, and presents a methodology for interpreting and transforming the raw data from the platform into input data for such algorithms. The algorithms can be used as a basis for decision-making, potentially leading to reduced environmental impact, improved quality, and more sustainable and efficient work processes. Further, a future structure with algebraic graph theory is suggested for the platform.

Place, publisher, year, edition, pages
2018. , p. 46
Keywords [en]
Algorithms, GIS, Powergrid
Keywords [sv]
Algoritmer, GIS, Beredning, Elnät
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-34074Local ID: ET-V18-G3-021OAI: oai:DiVA.org:miun-34074DiVA, id: diva2:1229907
Subject / course
Electrical Engineering ET2
Educational program
Electric Power Engineering TEKRG 180 higher education credits
Supervisors
Examiners
Available from: 2018-07-02 Created: 2018-07-02 Last updated: 2018-07-02Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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