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Quality of Service Monitoring in the Low Voltage Grid by using Automated Service Level Agreements
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the coming years, the LV grid is expected to be updated to become a 'smart grid'. More monitoring and control mechanisms will be implemented allowing a more exible market and more ecient problem solving. This thesis investigates the possibility to use Service Level Agreement contracts as a tool to actively and automatically monitor quality of service in the low voltage grid.

To this end, a thorough study of the already existing automated SLA monitoring systems, designed for telecommunication and e-business, is made, nding inspiration on how it should be implemented specically for the LV grid. It is concluded that in theory, it should be possible to create an automated SLA monitoring platform for the LV grid.

Subsequently a conceptual framework is proposed for the automated SLA monitoring platform.

In a next step of development, the proposed framework is implemented in a Java-code agent based programming environment (JACK). The program is surrounded by XML and txt inputs and outputs, increasing its exibility to communicate with other systems.

Finally, the programmed automated SLA monitoring platform is put to the test and several proposals are highlighted on how the program might be used.

A second topic in this master thesis is the analysis of the Grid4EU demo 2 project in the Uppsala region (about 80 km north of Stockholm). This project envisions a smart grid, constructed with elements provided by several partners in the Grid4EU consortium. To present the smart grid architecture in a clear, universally understandable and standardized way, the SGAM model is used to represent the Demo 2 smart grid architecture.

Place, publisher, year, edition, pages
2013. , 169 p.
Series
EES Examensarbete / Master Thesis, XR-EE-ICS 2013:011
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-124162OAI: oai:DiVA.org:kth-124162DiVA: diva2:633258
External cooperation
Vattenfall
Educational program
Master of Science - Innovative Sustainable Energy Engineering
Examiners
Available from: 2013-07-03 Created: 2013-06-26 Last updated: 2013-07-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf