Agent-based model (ABM) supporting the PhD dissertation: "Vehicle-to-grid in the Netherlands: A sociotechnical multi-system analysis"

This resource provides an agent-based model (ABM) that extends the open-access electric vehicle charging model developed by van der Kam et al. (2020) with explicit vehicle-to-grid (V2G) functionality. In addition to bidirectional charging behavior, the model incorporates empirically grounded user preference structures derived from Bakhuis et al. (2025), allowing agents to differ in their willingness to adopt and use V2G.<br>The model was developed and applied as part of the PhD dissertation research of Jerico Bakhuis ("Vehicle-to-grid in the Netherlands: A sociotechnical multi-system analysis"). It was used to explore V2G adoption dynamics and the potential contribution of V2G to electricity grid balancing in a stylized Dutch urban context, across a range of sociotechnical conditions and scenario assumptions.<br><strong>Model implementation and dependencies</strong>This resource includes only the NetLogo implementation of the extended model (“V2G NL ABM Model.nlogo”). The model relies on input data from the original open-access model by van der Kam et al. (2020). To run the model, users must separately download Version 1.1.2 of the van der Kam et al. model from the CoMSES Computational Model Library. From that download, the "data" folder should be placed at the same directory level as the NetLogo model file provided here. When set up correctly, the directory will contain only the NetLogo model file and the "data" folder, and the model can be executed using the input data contained therein.<br><strong>References</strong>van der Kam, M., Peters, A., van Sark, W., &amp; Alkemade, F. (2020). <em>Charging behaviour of electric vehicle drivers</em> (Version 1.1.2). CoMSES Computational Model Library. https://doi.org/10.25937/q6ey-6n41Bakhuis, J., Barbour, N., Molin, E., &amp; Chappin, É. J. (2025). <em>Understanding user preferences regarding vehicle-to-grid (V2G): A latent class choice analysis</em>. Transportation Research Part A: Policy and Practice, 199, 104610. https://doi.org/10.1016/j.tra.2025.104610

本资源提供了一款基于智能体的模型（agent-based model, ABM），该模型对van der Kam等人（2020年）开发的开源电动汽车充电模型进行了扩展，新增了明确的车网互动（vehicle-to-grid, V2G）功能。除支持双向充电行为外，该模型还纳入了源自Bakhuis团队（2025年）的实证支撑的用户偏好结构，使得各智能体在V2G采纳与使用意愿上存在差异。<br>该模型是Jerico Bakhuis博士学位论文研究的一部分，其论文题为《荷兰车网互动：社会技术多系统分析》，本模型即服务于该研究。本模型被用于在一系列社会技术条件与场景假设下，探究理想化荷兰城市场景中的V2G采纳动态，以及V2G对电网平衡的潜在贡献。<br><strong>模型实现与依赖项</strong>本资源仅包含扩展后模型的NetLogo实现文件（"V2G NL ABM Model.nlogo"）。该模型依赖van der Kam等人（2020年）开发的原始开源模型的输入数据。若要运行本模型，用户需自行从CoMSES计算模型库下载van der Kam等人模型的1.1.2版本。从该下载包中提取的"data"文件夹，需与本文提供的NetLogo模型文件置于同一目录层级。配置正确后，目录中将仅包含该NetLogo模型文件与"data"文件夹，此时即可使用其中的输入数据运行模型。<br><strong>参考文献</strong>van der Kam, M., Peters, A., van Sark, W., & Alkemade, F. (2020). 《电动汽车驾驶员的充电行为》（版本1.1.2）。CoMSES计算模型库。https://doi.org/10.25937/q6ey-6n41<br>Bakhuis, J., Barbour, N., Molin, E., & Chappin, É. J. (2025). 《车网互动（V2G）用户偏好研究：潜类别选择分析》。《交通研究A辑：政策与实践》，199卷，104610。https://doi.org/10.1016/j.tra.2025.104610