Laboratory infrastructure driven key performance indicator development using the smart grid architecture model

Mazheruddin H. Syed, Efren Guillo-Sansano, Steven M. Blair, Graeme M. Burt, Thomas I. Strasser, Helfried Brunner, Oliver Gehrke, Jose E. Rodriguez-Seco

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

This study 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 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 study offers means of support for improved cooperation in smart grid validation and round robin testing.
Original languageEnglish
Pages (from-to)1866-1870
Number of pages5
JournalCIRED - Open Access Proceedings Journal
Volume2017
Issue number1
DOIs
Publication statusPublished - 1 Oct 2017
Event24th International Conference and Exhibition on Electricity Distribution, CIRED 2017 - Glasgow, United Kingdom
Duration: 12 Jun 201715 Jun 2017

Keywords

  • Power system control
  • Smart power grids
  • Smart grid architecture model
  • Power system control architecture validation
  • Power system control architecture testing
  • Improved cooperation
  • Key performance indicator development
  • Laboratory infrastructure
  • Control functions
  • Laboratory experiments
  • Round robin testing

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/FP7/609687/EU/European Liaison on Electricity Committed Towards long-term Research Activities for Smart Grids/ELECTRA
  • Funding Info
  • The work in this paper has been supported by the European_x000D_ Commission under the FP7 ELECTRA IRP (grant no: 609687).

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