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

doi:10.1049/oap-cired.2017.1051

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

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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 language	English
Journal	Cired - Open Access Proceedings Journal
Volume	2017
Pages (from-to)	1866-70
ISSN	2515-0855
DOIs	https://doi.org/10.1049/oap-cired.2017.1051
Publication status	Published - 2017
Event	24th International Conference on Electricity Distribution - Scottish Event Campus, Glasgow, United Kingdom Duration: 12 Jun 2017 → 15 Jun 2017 http://www.cired-2017.org/

Conference

Conference	24th International Conference on Electricity Distribution
Location	Scottish Event Campus
Country/Territory	United Kingdom
City	Glasgow
Period	12/06/2017 → 15/06/2017
Internet address	http://www.cired-2017.org/

Bibliographical note

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

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title = "Laboratory infrastructure driven key performance indicator development using the smart grid architecture model",

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.",

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

note = "This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/); 24th International Conference on Electricity Distribution , CIRED 2017 ; Conference date: 12-06-2017 Through 15-06-2017",

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AU - Syed, Mazheruddin H.

AU - Guillo-Sansano, Efren

AU - Blair, Steven M.

AU - Burt, Graeme M.

AU - Strasser, Thomas I.

AU - Brunner, Helfried

AU - Gehrke, Oliver

AU - Rodriguez-Seco, Jose E.

N1 - This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1049/oap-cired.2017.1051

DO - 10.1049/oap-cired.2017.1051

M3 - Conference article

SN - 2515-0855

VL - 2017

SP - 1866

EP - 1870

JO - Cired - Open Access Proceedings Journal

JF - Cired - Open Access Proceedings Journal

T2 - 24th International Conference on Electricity Distribution

Y2 - 12 June 2017 through 15 June 2017

ER -

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

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