A framework for analyzing the spatiotemporal distribution of urban electric vehicle charging load: A case study of Shanghai

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Zeyu Liu, Wenhang Yin, Donghan Feng, Yun Zhou
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Abstract

Electric vehicles (EVs), as a critical component of sustainable cities, require a thorough understanding of the spatiotemporal distribution of charging demand. This paper proposes a spatiotemporal analysis framework for EV charging load. The proposed framework is based on a dynamic simplified road network model, driving behavior model, and energy replenishment model, and it analyzes the charging load patterns through large-scale Monte-Carlo simulations. The case study in Shanghai reveals the overall curve and spatiotemporal distribution of EV charging load. The results show that the charging load can account for 7.8 % of Shanghai's total grid load, forming a spatial pattern of concentration in the central urban area and radiation towards the suburbs. Charging infrastructure accessibility analysis indicates the necessity of more aggressive charging infrastructure construction for the central urban area west of the Huangpu River. These findings offer valuable insights for both real-time operations of power system and long-term planning of charging infrastructures. Furthermore, a projection for the 2035 long-term scenario discusses the future development trends of charging loads and corresponding strategies.
城市电动汽车充电负荷时空分布分析框架——以上海市为例
电动汽车作为可持续城市的重要组成部分,需要深入了解充电需求的时空分布。本文提出了一个电动汽车充电负荷的时空分析框架。该框架基于动态简化的路网模型、驾驶行为模型和能量补充模型,并通过大规模蒙特卡罗仿真分析了充电负荷模式。以上海市为例,揭示了电动汽车充电负荷的总体曲线和时空分布。结果表明:上海市电网充电负荷可占总负荷的7.8%,形成中心城区集中、向郊区辐射的空间格局;收费基础设施可达性分析表明,黄浦江以西中心城区需要加大收费基础设施建设力度。这些发现为电力系统的实时运行和充电基础设施的长期规划提供了有价值的见解。在此基础上,对2035年的长期情景进行了预测,探讨了未来充电负荷的发展趋势和相应的策略。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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