A decentralised energy trading architecture for future smart grid load balancing

Sjors Hijgenaar, Zekeriya Erkin, Tamas Keviczky, Jos Siemons, Ralph Bisschops, Alexander Verbraeck

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
66 Downloads (Pure)

Abstract

Current state-of-the-art electric vehicle charging is found to have a profoundly disruptive effect on decentralised grids, increasing prevailing peak demand and causing network congestion. However, when charging behaviour is aligned with the needs of the grid, the batteries of electric vehicles can be used as a distributed resource to provide ancillary services. This paper proposes an decentralised algorithm that is capable of exposing the benefits of an electric vehicle fleet to grid system operators, taking the user preferences of the individual owners into account and keeping the application lightweight through a decentralised architecture. The algorithm is implemented in an agent-based model based on real Dutch smart metering data. The architecture is shown to decrease local imbalances, offer financial incentives to electric vehicle owners and maintain a minimum state-of-charge at departure for individual system users.

Original languageEnglish
Title of host publicationProceedings 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017)
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages77-82
ISBN (Electronic)978-1-5386-4055-5
DOIs
Publication statusPublished - 2017
Event2017 IEEE international Conference on Smart Grid Communications - Dresden, Germany
Duration: 23 Oct 201726 Oct 2017
http://sgc2017.ieee-smartgridcomm.org/

Conference

Conference2017 IEEE international Conference on Smart Grid Communications
Abbreviated titleSmartGridComm
CountryGermany
CityDresden
Period23/10/1726/10/17
Internet address

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