A decentralised energy trading architecture for future smart grid load balancing

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

doi:10.1109/SmartGridComm.2017.8340707

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 volume › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

136 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 language	English
Title of host publication	Proceedings 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017)
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	77-82
ISBN (Electronic)	978-1-5386-4055-5
DOIs	https://doi.org/10.1109/SmartGridComm.2017.8340707
Publication status	Published - 2017
Event	2017 IEEE international Conference on Smart Grid Communications - Dresden, Germany Duration: 23 Oct 2017 → 26 Oct 2017 http://sgc2017.ieee-smartgridcomm.org/

Conference

Conference	2017 IEEE international Conference on Smart Grid Communications
Abbreviated title	SmartGridComm
Country/Territory	Germany
City	Dresden
Period	23/10/17 → 26/10/17
Internet address	http://sgc2017.ieee-smartgridcomm.org/

Bibliographical note

Accepted Author Manuscript

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10.1109/SmartGridComm.2017.8340707

A Decentralised Energy Trading Architecture for Future Smart Grid Load B.._Accepted author manuscript, 199 KB

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title = "A decentralised energy trading architecture for future smart grid load balancing",

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.",

author = "Sjors Hijgenaar and Zekeriya Erkin and Tamas Keviczky and Jos Siemons and Ralph Bisschops and Alexander Verbraeck",

note = "Accepted Author Manuscript; 2017 IEEE international Conference on Smart Grid Communications, SmartGridComm ; Conference date: 23-10-2017 Through 26-10-2017",

year = "2017",

doi = "10.1109/SmartGridComm.2017.8340707",

language = "English",

pages = "77--82",

booktitle = "Proceedings 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017)",

publisher = "IEEE",

address = "United States",

url = "http://sgc2017.ieee-smartgridcomm.org/",

}

Hijgenaar, S , Erkin, Z , Keviczky, T, Siemons, J, Bisschops, R & Verbraeck, A 2017, A decentralised energy trading architecture for future smart grid load balancing. in Proceedings 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017). IEEE, Piscataway, NJ, USA, pp. 77-82, 2017 IEEE international Conference on Smart Grid Communications, Dresden, Germany, 23/10/17. https://doi.org/10.1109/SmartGridComm.2017.8340707

A decentralised energy trading architecture for future smart grid load balancing. / Hijgenaar, Sjors ; Erkin, Zekeriya ; Keviczky, Tamas et al.
Proceedings 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm 2017). Piscataway, NJ, USA: IEEE, 2017. p. 77-82.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Verbraeck, Alexander

N1 - Accepted Author Manuscript

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AB - 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.

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A decentralised energy trading architecture for future smart grid load balancing

Abstract

Conference

Bibliographical note

UN SDGs

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