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) Pub Date : 2019-06-15 DOI:10.1109/SmartGridComm.2019.8909765

Zachary J. Lee, D. Johansson, S. Low

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引用次数: 29

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.

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ACN-Sim:数据驱动电动汽车充电研究的开源模拟器

由于需要为大量电动汽车(ev)经济地充电，以及使用电动汽车提供电网服务的潜力，智能电动汽车充电最近引起了研究界的极大关注。然而，由于缺乏一个广泛可用的、现实的仿真环境来评估算法和测试假设，对实际在线收费算法的研究一直受到阻碍。为了满足这一需求，我们开发了ACN-Sim，这是一个数据驱动的开源模拟器，基于我们构建和运行真实世界的充电系统的经验。ACN-Sim提供了一个模块化的、可扩展的架构，可以模拟真实充电系统的复杂性，包括电池充电行为和不平衡三相基础设施。此外，ACN-Sim还集成了更广泛的电动汽车充电研究工具生态系统，包括ACN-Data和ACN-Live。ACN-Data是一个开放的电动汽车充电过程数据集，可提供真实的模拟场景;ACN-Live是一个现场测试充电算法的框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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