Development of a Smart Grid Simulation Environment

J Delamare; B. Bitachon; Z. Peng; Y. Wang; Boudewijn R.H.M. Haverkort; M.R. Jongerden

doi:10.1016/j.entcs.2015.10.017

Development of a Smart Grid Simulation Environment

J Delamare, B. Bitachon, Z. Peng, Y. Wang, Boudewijn R.H.M. Haverkort, M.R. Jongerden

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

With the increased integration of renewable energy sources the interaction between energy producers and consumers has become a bi-directional exchange. Therefore, the electrical grid must be adapted into a smart grid which effectively regulates this two-way interaction. With the aid of simulation, stakeholders can obtain information on how to properly develop and control the smart grid. In this paper, we present the development of an integrated smart grid simulation model, using the Anylogic simulation environment. Among the elements which are included in the simulation model are houses connected to a renewable energy source, and batteries as storage devices. With the use of the these elements a neighbourhood model can be constructed and simulated under multiple scenarios and configurations.The developed simulation environment provides users better insight into the effects of running different configurations in their houses as well as allow developers to study the inter-exchange of energy between elements in a smart city on multiple levels.

Original language	English
Title of host publication	Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014)
Place of Publication	Amsterdam
Publisher	Elsevier
Pages	19-29
Number of pages	11
DOIs	https://doi.org/10.1016/j.entcs.2015.10.017
Publication status	Published - Nov 2015
Externally published	Yes
Event	Annual UK Performance Engineering Workshop 2014 - Duration: 19 Sept 2014 → 19 Sept 2014 Conference number: 30

Publication series

Name	Electronic Notes in Theoretical Computer Science
Publisher	Elsevier
Volume	318
ISSN (Print)	1571-0661

Conference

Conference	Annual UK Performance Engineering Workshop 2014
Abbreviated title	UK-PEW 2014
Period	19/09/14 → 19/09/14

Keywords

EC Grant Agreement nr.: FP7/2007-2013
EWI-25300
Simulation
IR-93926
Renewable energy
METIS-309658
Smart Grid

Access to Document

10.1016/j.entcs.2015.10.017

Cite this

Delamare, J., Bitachon, B., Peng, Z., Wang, Y., Haverkort, B. R. H. M., & Jongerden, M. R. (2015). Development of a Smart Grid Simulation Environment. In Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014) (pp. 19-29). (Electronic Notes in Theoretical Computer Science; Vol. 318). Elsevier. https://doi.org/10.1016/j.entcs.2015.10.017

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title = "Development of a Smart Grid Simulation Environment",

abstract = "With the increased integration of renewable energy sources the interaction between energy producers and consumers has become a bi-directional exchange. Therefore, the electrical grid must be adapted into a smart grid which effectively regulates this two-way interaction. With the aid of simulation, stakeholders can obtain information on how to properly develop and control the smart grid. In this paper, we present the development of an integrated smart grid simulation model, using the Anylogic simulation environment. Among the elements which are included in the simulation model are houses connected to a renewable energy source, and batteries as storage devices. With the use of the these elements a neighbourhood model can be constructed and simulated under multiple scenarios and configurations.The developed simulation environment provides users better insight into the effects of running different configurations in their houses as well as allow developers to study the inter-exchange of energy between elements in a smart city on multiple levels.",

keywords = "EC Grant Agreement nr.: FP7/2007-2013, EWI-25300, Simulation, IR-93926, Renewable energy, METIS-309658, Smart Grid",

author = "J Delamare and B. Bitachon and Z. Peng and Y. Wang and Haverkort, {Boudewijn R.H.M.} and M.R. Jongerden",

year = "2015",

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doi = "10.1016/j.entcs.2015.10.017",

language = "English",

series = "Electronic Notes in Theoretical Computer Science",

publisher = "Elsevier",

pages = "19--29",

booktitle = "Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014)",

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note = "Annual UK Performance Engineering Workshop 2014, UK-PEW 2014 ; Conference date: 19-09-2014 Through 19-09-2014",

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Delamare, J, Bitachon, B, Peng, Z, Wang, Y, Haverkort, BRHM & Jongerden, MR 2015, Development of a Smart Grid Simulation Environment. in Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014). Electronic Notes in Theoretical Computer Science, vol. 318, Elsevier, Amsterdam, pp. 19-29, Annual UK Performance Engineering Workshop 2014, 19/09/14. https://doi.org/10.1016/j.entcs.2015.10.017

Development of a Smart Grid Simulation Environment. / Delamare, J; Bitachon, B.; Peng, Z. et al.
Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014). Amsterdam: Elsevier, 2015. p. 19-29 (Electronic Notes in Theoretical Computer Science; Vol. 318).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Development of a Smart Grid Simulation Environment

AU - Delamare, J

AU - Bitachon, B.

AU - Peng, Z.

AU - Wang, Y.

AU - Haverkort, Boudewijn R.H.M.

AU - Jongerden, M.R.

N1 - Conference code: 30

PY - 2015/11

Y1 - 2015/11

N2 - With the increased integration of renewable energy sources the interaction between energy producers and consumers has become a bi-directional exchange. Therefore, the electrical grid must be adapted into a smart grid which effectively regulates this two-way interaction. With the aid of simulation, stakeholders can obtain information on how to properly develop and control the smart grid. In this paper, we present the development of an integrated smart grid simulation model, using the Anylogic simulation environment. Among the elements which are included in the simulation model are houses connected to a renewable energy source, and batteries as storage devices. With the use of the these elements a neighbourhood model can be constructed and simulated under multiple scenarios and configurations.The developed simulation environment provides users better insight into the effects of running different configurations in their houses as well as allow developers to study the inter-exchange of energy between elements in a smart city on multiple levels.

AB - With the increased integration of renewable energy sources the interaction between energy producers and consumers has become a bi-directional exchange. Therefore, the electrical grid must be adapted into a smart grid which effectively regulates this two-way interaction. With the aid of simulation, stakeholders can obtain information on how to properly develop and control the smart grid. In this paper, we present the development of an integrated smart grid simulation model, using the Anylogic simulation environment. Among the elements which are included in the simulation model are houses connected to a renewable energy source, and batteries as storage devices. With the use of the these elements a neighbourhood model can be constructed and simulated under multiple scenarios and configurations.The developed simulation environment provides users better insight into the effects of running different configurations in their houses as well as allow developers to study the inter-exchange of energy between elements in a smart city on multiple levels.

KW - EC Grant Agreement nr.: FP7/2007-2013

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KW - Simulation

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KW - Renewable energy

KW - METIS-309658

KW - Smart Grid

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DO - 10.1016/j.entcs.2015.10.017

M3 - Conference contribution

T3 - Electronic Notes in Theoretical Computer Science

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EP - 29

BT - Proceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014)

PB - Elsevier

CY - Amsterdam

T2 - Annual UK Performance Engineering Workshop 2014

Y2 - 19 September 2014 through 19 September 2014

ER -

Development of a Smart Grid Simulation Environment

Abstract

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Keywords

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