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 proceedingConference contributionScientificpeer-review

3 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 languageEnglish
Title of host publicationProceedings of the 29th and 30th Annual UK Performance Engineering Workshops (UKPEW 2014)
Place of PublicationAmsterdam
PublisherElsevier
Pages19-29
Number of pages11
DOIs
Publication statusPublished - Nov 2015
Externally publishedYes
EventAnnual UK Performance Engineering Workshop 2014 -
Duration: 19 Sep 201419 Sep 2014
Conference number: 30

Publication series

NameElectronic Notes in Theoretical Computer Science
PublisherElsevier
Volume318
ISSN (Print)1571-0661

Conference

ConferenceAnnual UK Performance Engineering Workshop 2014
Abbreviated titleUK-PEW 2014
Period19/09/1419/09/14

Keywords

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

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