| 引用本文: | 李 青,刘雨婷,刘 超.考虑用户有限理性的电动汽车充放电行为时空特征分析[J].电力系统保护与控制,2025,53(15):83-94.[点击复制] |
| LI Qing,LIU Yuting,LIU Chao.Spatiotemporal analysis of electric vehicle charging and discharging behavior considering users’ bounded rationality[J].Power System Protection and Control,2025,53(15):83-94[点击复制] |
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| 摘要: |
| 大规模电动汽车(electric vehicle, EV)入网互动为新型电力系统的建设带来了新的机遇与挑战。有效引导EV有序充放电以提升新型电力系统用户侧调节功能，助力能源消费低碳转型，已成为亟需解决的重要议题。但是，鉴于需求侧EV用户决策心理与供给侧交通系统的复杂性，充放电价格对用户充放电行为的引导作用机制尚不明晰。为此，首先围绕需求侧EV用户充放电的决策心理，分析了从属于用户不同心理账户的充电与放电决策过程及其影响因素，基于参照依赖理论，建立了充电与放电价值衡量函数。然后，面向供给侧混合燃油车与EV的交通系统，从出行行为产生的根本原因出发，基于动态活动-出行配流模型揭示EV的时空分布机理。最后，通过算例探讨了EV充放电需求的时空分布规律，分析了充放电价格以及用户决策心理对充放电需求的作用机制。研究结果将为车网互动(vehicle-to-grid, V2G)充电桩的规划与部署、充放电定价机制的完善以及微电网的建设与部署等提供参考。 |
| 关键词: 电动汽车 充放电行为 有限理性 动态活动-出行配流模型 |
| DOI：10.19783/j.cnki.pspc.241361 |
| 投稿时间：2024-10-14修订日期：2025-03-26 |
| 基金项目:国家自然科学基金面上项目资助(72271127，72171114) |
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| Spatiotemporal analysis of electric vehicle charging and discharging behavior considering users’ bounded rationality |
| LI Qing1,LIU Yuting1,LIU Chao2,3 |
| (1. School of Management Science and Engineering, Nanjing University of Information Science and Technology,
Nanjing 210044, China; 2. NARI Group Corporation (State Grid Electric Power Research Institute),
Nanjing 211106, China; 3. NARI Technology Co., Ltd., Nanjing 211106, China) |
| Abstract: |
| The large-scale integration of electric vehicles (EVs) into power grids presents both opportunities and challenges for the construction of new power systems. Effectively guiding orderly EV charging and discharging to enhance user-side regulation capabilities in new power systems and support the low-carbon transformation of energy consumption has become a pressing issue. However, due to the complexity of demand-side user decision-making psychology and supply-side transportation systems, the mechanism by which charging/discharging prices influence user behavior remains unclear. To address this, this paper first analyzes the decision-making psychology of demand-side EV users, analyzing how charging and discharging decisions are influenced by different psychological accounts. Based on reference dependence theory, value measurement functions for charging and discharging are established. Then, on the supply-side, this paper considers a transportation system composed of both hybrid vehicles and EVs, and the spatiotemporal distribution mechanisms of EVs are revealed through a dynamic activity-travel assignment model that traces the root causes of travel behavior. Finally, case studies explore the spatiotemporal patterns of EV charging/discharging demands and analyze the impact mechanisms of pricing strategies and user decision-making psychology on charging/discharging behaviors. The research findings provide valuable references for the planning and deployment of vehicle-to-grid (V2G) charging infrastructure, the optimization of pricing mechanisms, and the construction and deployment of microgrids. |
| Key words: electric vehicles charging and discharging behavior bounded rationality dynamic activity-travel assignment model |
