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ACN-sim - An open-source simulator for data-driven electric vehicle charging research

Lee, Zachary; Johansson, Daniel LU and Low, Steven H. (2019) 10th ACM International Conference on Future Energy Systems, e-Energy 2019 p.411-412
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, opensource 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... (More)

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, opensource 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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Data-driven analysis, Electric vehicle charging, Opensource software, Simulator
host publication
e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems
pages
2 pages
publisher
Association for Computing Machinery, Inc
conference name
10th ACM International Conference on Future Energy Systems, e-Energy 2019
conference location
Phoenix, United States
conference dates
2019-06-25 - 2019-06-28
external identifiers
  • scopus:85068687294
ISBN
9781450366717
DOI
10.1145/3307772.3330170
language
English
LU publication?
yes
id
af6f0e83-a80a-4701-b2b2-63aa0f49d50e
date added to LUP
2019-07-23 15:56:58
date last changed
2019-08-14 04:42:27
@inproceedings{af6f0e83-a80a-4701-b2b2-63aa0f49d50e,
  abstract     = {<p>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, opensource 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.</p>},
  author       = {Lee, Zachary and Johansson, Daniel and Low, Steven H.},
  isbn         = {9781450366717},
  keyword      = {Data-driven analysis,Electric vehicle charging,Opensource software,Simulator},
  language     = {eng},
  location     = {Phoenix, United States},
  pages        = {411--412},
  publisher    = {Association for Computing Machinery, Inc},
  title        = {ACN-sim - An open-source simulator for data-driven electric vehicle charging research},
  url          = {http://dx.doi.org/10.1145/3307772.3330170},
  year         = {2019},
}