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Decentralised coordination of electric vehicle aggregators

Decentralised coordination of electric vehicle aggregators
Decentralised coordination of electric vehicle aggregators
Given the rapid rise of electric vehicles (EVs) worldwide, and the ambitious targets set for the near future, the management of large EV fleets must be seen as a priority. Specifically, we study a scenario where EV charging is managed through self-interested EV aggregators who compete in the day-ahead market in order to purchase the electricity needed to meet their clients' requirements. In order to reduce electricity costs and lower the impact on electricity markets, a centralised bidding coordination framework has been proposed in the literature, using a trusted black-box coordinator. In order to improve privacy and limit the need for the coordinator, we propose a reformulation of the coordination framework as a decentralised algorithm, employing the Alternating Direction Method of Multipliers (ADMM). We test the resulting algorithm in a realistic scenario with real market and driver data from Spain. Finally, we discuss the potential of implementing the proposed coordination algorithm in a blockchain, providing transparency and anti-tampering guarantees.
decentralised, optimisation, alternating direction method of multipiliers, electric vehicle, aggregation
Perez-Diaz, Alvaro
dc83bca5-5108-4448-878f-23e73dec4c88
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072
Perez-Diaz, Alvaro
dc83bca5-5108-4448-878f-23e73dec4c88
Gerding, Enrico
d9e92ee5-1a8c-4467-a689-8363e7743362
McGroarty, Frank
693a5396-8e01-4d68-8973-d74184c03072

Perez-Diaz, Alvaro, Gerding, Enrico and McGroarty, Frank (2018) Decentralised coordination of electric vehicle aggregators. At International Workshop on Optimization in Multiagent Systems (15/07/18) International Workshop on Optimization in Multiagent Systems, Stockholm, Sweden. 14 - 15 Jul 2018. 15 pp.

Record type: Conference or Workshop Item (Paper)

Abstract

Given the rapid rise of electric vehicles (EVs) worldwide, and the ambitious targets set for the near future, the management of large EV fleets must be seen as a priority. Specifically, we study a scenario where EV charging is managed through self-interested EV aggregators who compete in the day-ahead market in order to purchase the electricity needed to meet their clients' requirements. In order to reduce electricity costs and lower the impact on electricity markets, a centralised bidding coordination framework has been proposed in the literature, using a trusted black-box coordinator. In order to improve privacy and limit the need for the coordinator, we propose a reformulation of the coordination framework as a decentralised algorithm, employing the Alternating Direction Method of Multipliers (ADMM). We test the resulting algorithm in a realistic scenario with real market and driver data from Spain. Finally, we discuss the potential of implementing the proposed coordination algorithm in a blockchain, providing transparency and anti-tampering guarantees.

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Published date: 10 July 2018
Venue - Dates: International Workshop on Optimization in Multiagent Systems, Stockholm, Sweden, 2018-07-14 - 2018-07-15
Keywords: decentralised, optimisation, alternating direction method of multipiliers, electric vehicle, aggregation

Identifiers

Local EPrints ID: 422623
URI: https://eprints.soton.ac.uk/id/eprint/422623
PURE UUID: 26423402-d7c8-4ae7-b9bd-a14e31586fbe
ORCID for Alvaro Perez-Diaz: ORCID iD orcid.org/0000-0001-8081-0772
ORCID for Frank McGroarty: ORCID iD orcid.org/0000-0003-2962-0927

Catalogue record

Date deposited: 26 Jul 2018 16:30
Last modified: 27 Jul 2018 00:33

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Contributors

Author: Alvaro Perez-Diaz ORCID iD
Author: Enrico Gerding
Author: Frank McGroarty ORCID iD

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