Laboratory infrastructure driven key performance indicator development using the Smart Grid Architecture Model

M.H. Syed, E. Guillo, S.M. Blair, G.M. Burt, T.I. Strasser, H. Brunner, O. Gehrke, J. E. Rodriguez-Seco

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)
136 Downloads (Pure)

Abstract

This paper presents a methodology for collaboratively designing laboratory experiments and developing key performance indicators for the testing and validation of novel power system control architectures in multiple laboratory environments. The contribution makes use of the smart grid architecture model (SGAM) as it facilitates the integration of individually developed control functions into a consolidated solution for laboratory validation and testing. The experimental results obtained across multiple laboratories can be efficiently compared, when the proposed methodology is adopted and thus the paper offers means of support for improved cooperation in smart grid validation and round robin testing.
Original languageEnglish
Title of host publicationProceedings of 24th International Conference and Exhibition on Electricity Distribution
Place of PublicationStevenage
Pages1866-1870
Number of pages5
DOIs
Publication statusPublished - 1 Oct 2017
Event24th International Conference and Exhibition on Electricity Distribution - Scottish Event Campus, Glasgow, United Kingdom
Duration: 12 Jun 201715 Jun 2017
http://www.cired-2017.org/

Conference

Conference24th International Conference and Exhibition on Electricity Distribution
Abbreviated titleCIRED 2017
Country/TerritoryUnited Kingdom
CityGlasgow
Period12/06/1715/06/17
Internet address

Keywords

  • experimental design
  • power system control architectures
  • laboratory
  • smart grid architecture model
  • key performance indicators

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