Using EV charging control to provide building load flexibility.

Building load shaping Charging control Model-predictive control

Journal

Energy informatics
ISSN: 2520-8942
Titre abrégé: Energy Inform
Pays: Germany
ID NLM: 9918351281306676

Informations de publication

Date de publication:
2023
Historique:
received: 29 01 2023
accepted: 05 03 2023
entrez: 20 3 2023
pubmed: 21 3 2023
medline: 21 3 2023
Statut: ppublish

Résumé

Buildings are responsible for a significant fraction of the overall electrical load. Given the increasing penetration of renewables into the generation mix, it is important to make building loads flexible, to better match the variability in generation. Of course, building loads can be made arbitrarily flexible using sufficient stationary storage, but this comes at considerable cost. In this paper, we investigate how to reduce this cost by exploiting electric vehicle (EV) charging control for unidirectional and bidirectional charging. Specifically, we design a model-predictive control algorithm to reshape building load to match a specified load shape. In realistic settings and for two use cases, we investigate the degree to which the amount of stationary storage is reduced using EV charging control. In both cases, we find that our controller reduces the need for stationary storage compared to existing solutions. Moreover, bidirectional EV charging control substantially reduces the required amount of stationary storage.

Identifiants

pubmed: 36936407
doi: 10.1186/s42162-023-00261-8
pii: 261
pmc: PMC10014656
doi:

Types de publication

Journal Article

Langues

eng

Pagination

5

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

Auteurs

Harsimrat Singh Bhundar (HS)

University of Waterloo, Waterloo, Canada.

Lukas Golab (L)

University of Cambridge, Cambridge, UK.

Srinivasan Keshav (S)

University of Cambridge, Cambridge, UK.

Classifications MeSH