ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research
- Creators
- Lee, Zachary
- Johansson, Daniel
- Low, Steven H.
Abstract
Electric vehicles have recently garnered significant attention in the research community due to their potential has a large, highly controllable load which can be used in demand response, load shaping, and renewable energy integration. However, research into practical charging algorithms has been hampered by the lack of a widely available, realistic simulation environment. To meet this need in the community, we are releasing ACN-Sim, a data-driven, open-source simulator based on our experience building and operating real-world charging systems. This simulator provides researchers who may lack access to real EV charging systems with a realistic environment to evaluate their algorithms and test their assumptions. It also provides a common platform on which algorithms can be evaluated head-to-head, allowing researchers to better understand and articulate how their work fits into the existing literature.
Additional Information
© 2019 ACM. This work was supported by the NSF Graduate Research Fellowship under Grant No. 1745301 as well as CCF-1637598, ECCS-1619352, CNS-1545096, and CPS-1739355.Additional details
- Eprint ID
- 96441
- DOI
- 10.1145/3307772.3330170
- Resolver ID
- CaltechAUTHORS:20190614-091204247
- DGE-1745301
- NSF Graduate Research Fellowship
- CCF-1637598
- NSF
- ECCS-1619352
- NSF
- CNS-1545096
- NSF
- CPS-1739355
- NSF
- Created
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2019-06-14Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field