Lee, Zachary J. and Sharma, Sunash and Johansson, Daniel and Low, Steven H. (2021) ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research. IEEE Transactions on Smart Grid, 12 (6). pp. 5113-5123. ISSN 1949-3053. doi:10.1109/TSG.2021.3103156. https://resolver.caltech.edu/CaltechAUTHORS:20210510-085201964
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Abstract
ACN-Sim is a data-driven, open-source simulation environment designed to accelerate research in the field of smart electric vehicle (EV) charging. It fills the need in this community for a widely available, realistic simulation environment in which researchers can evaluate algorithms and test assumptions. ACN-Sim provides a modular, extensible architecture, which models the complexity of real charging systems, including battery charging behavior and unbalanced three-phase infrastructure. It also integrates with a broader ecosystem of research tools. These include ACN-Data, an open dataset of EV charging sessions, which provides realistic simulation scenarios and ACN-Live, a framework for field-testing charging algorithms. It also integrates with grid simulators like MATPOWER, PandaPower and OpenDSS, and OpenAI Gym for training reinforcement learning agents.
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| Additional Information: | © 2021 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. Manuscript received November 4, 2020; revised March 28, 2021 and July 3, 2021; accepted July 6, 2021. Date of publication August 9, 2021; date of current version October 21, 2021. This work was supported in part by the National Science Foundation under the Graduate Research Fellowship Program under Grant 1745301, in part by NSF ECCS under Grant 1932611 and Grant 1619352, in part by NSF CCF under Grant 1637598, and in part by NSF CPS under Grant 1739355. It also received support under the Resnick Sustainability Institute Graduate Fellowship. The authors would like to thank the team at PowerFlex, especially Cheng Jin, Ted Lee, and George Lee, as well as Rand Lee, James Anderson, and Jorn Reniers, for providing data, expertise, and ideas to this project. | |||||||||||||||
| Group: | Resnick Sustainability Institute | |||||||||||||||
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| Subject Keywords: | Electric vehicles, computer simulation, charging stations, distributed energy resources, open-source software, cyber-physical systems | |||||||||||||||
| Issue or Number: | 6 | |||||||||||||||
| DOI: | 10.1109/TSG.2021.3103156 | |||||||||||||||
| Record Number: | CaltechAUTHORS:20210510-085201964 | |||||||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20210510-085201964 | |||||||||||||||
| Official Citation: | Z. J. Lee, S. Sharma, D. Johansson and S. H. Low, "ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research," in IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5113-5123, Nov. 2021, doi: 10.1109/TSG.2021.3103156 | |||||||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | |||||||||||||||
| ID Code: | 109023 | |||||||||||||||
| Collection: | CaltechAUTHORS | |||||||||||||||
| Deposited By: | Tony Diaz | |||||||||||||||
| Deposited On: | 10 May 2021 17:52 | |||||||||||||||
| Last Modified: | 12 Nov 2021 19:03 |
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