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ACN-Sim: An Open-Source Simulator for Data-Driven Electric Vehicle Charging Research
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DOI：10.1109/TSG.2021.3103156.png)
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Abstract
En 中文
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.
Keywords:
Object oriented modeling
Open source software
Electric vehicle charging
Tools
Prediction algorithms
Data models
Batteries
Electric vehicles
computer simulation
charging stations
distributed energy resources
open-source software
cyber-physical systems
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