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ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research

Lee, Zachary J. and Johansson, Daniel and Low, Steven H. (2019) ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research. In: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids. IEEE , Piscataway, NJ, pp. 1-6. ISBN 978-1-5386-8099-5. https://resolver.caltech.edu/CaltechAUTHORS:20191204-131602950

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Abstract

Smart electric vehicle charging has recently garnered significant attention in the research community due to need to charge vast numbers of electric vehicles (EVs) economically, as well as the potential of providing grid services using EVs. However, research into practical online charging algorithms has been hampered by the lack of a widely available, realistic simulation environment in which to evaluate algorithms and test assumptions. To meet this need, we have developed ACN-Sim, a data-driven, open-source simulator based on our experience building and operating real-world charging systems. ACN-Sim provides a modular, extensible architecture which models the complexity of real charging systems, including battery charging behavior and unbalanced three-phase infrastructure. In addition, ACN-Sim integrates with a broader ecosystem of research tools for EV charging, including ACN-Data, an open dataset of EV charging sessions to provide realistic simulation scenarios, and ACN-Live, a framework for field-testing charging algorithms.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/smartgridcomm.2019.8909765DOIArticle
ORCID:
AuthorORCID
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2019 IEEE. This material is based upon work supported by NSF through grants CCF 1637598, ECCS 1619352, and CPS including grant 1739355, as well fellowship support through the NSF Graduate Research Fellowship Program 1745301 and Resnick Sustainability Institute. We would like to thank the team at PowerFlex, especially Cheng Jin, Ted Lee and George Lee, as well as Rand Lee, James Anderson, Umar Hashmi, and Jorn Reniers for providing data, expertise and ideas to this project.
Group:Resnick Sustainability Institute
Funders:
Funding AgencyGrant Number
NSFCCF-1637598
NSFECCS-1619352
NSFECCS-1739355
NSF Graduate Research FellowshipDGE-1745301
Resnick Sustainability InstituteUNSPECIFIED
Record Number:CaltechAUTHORS:20191204-131602950
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191204-131602950
Official Citation:Z. J. Lee, D. Johansson and S. H. Low, "ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research," 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Beijing, China, 2019, pp. 1-6. doi: 10.1109/SmartGridComm.2019.8909765
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:100181
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:04 Dec 2019 21:59
Last Modified:04 Dec 2019 21:59

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