项目名称: 适应电动汽车规模化应用的充电服务网络与配电系统的协调规划
项目编号: No.51477151
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 电工技术
项目作者: 文福拴
作者单位: 浙江大学
项目金额: 74万元
中文摘要: 电动汽车是未来智能电网的重要组成部分, 但其规模化应用会给电力系统的安全与经济运行带来负面影响。从规划阶段着手, 即在对电动汽车充电服务网络以及相关的配电系统进行规划时就考虑尽可能避免这些问题的出现, 是有效的解决办法。然而,就适应电动汽车规模化应用的充电服务网络与配电系统的协调规划方面, 国内外尚未见系统的研究报道,这是本项目旨在解决的核心问题。主要研究内容包括: 1) 构建考虑时空分布的电动汽车充电负荷综合模型; 2)提出考虑交通网络和电力系统双重属性的电动汽车充电网络综合规划方法, 实现基于不确定性评估的多阶段鲁棒规划; 3) 提出计及适应成本的配电系统灵活规划策略, 以及计及截获交通流量的电动汽车充电网络和配电系统的协调规划方法。最终目标是在充电服务网络与配电系统的协调规划方面初步建立一套比较完整的理论与方法体系, 并丰富和发展电力系统规划的理论与方法体系。
中文关键词: 电动汽车;充电站;配电系统;交通网络;协调规划
英文摘要: Electric vehicles (EVs) play an important role in the future smart grid environment. However, the extensive use of EVs can have significant negative impacts on secure and economic operation of the power system concerned. An efficient way for preventing these negative impacts from occurrence is to make a coordinated planning of the charging service network and distribution system for accommodating the extensive use of EVs, but this coordinated planning issue has not yet been well addressed and is the focus of this proposed project. The following issues will be investigated: 1) developing a comprehensive EVs' charging load calculating model capable of considering EVs' temporal and spatial characteristics; 2) presenting a systematic planning philosophy and robust multistage planning approach considering both the traffic network and distribution system; 3) proposing a flexible planning strategy for the distribution system with the adaption cost of reconfiguration appropriately addressed, and developing a collaborative planning model for an integrated charging network of EVs and the distribution system based on traffic assignment analysis. The objective is to systematically develop a theoretical and methodological framework for the coordinated planning of the charging service network and distribution system for accommodating the extensive use of electric vehicles, and to enrich the theory and method of power system planning.
英文关键词: electric vehicles;charging station;distribution system;traffic network;coordianted planning