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车网互动的工程实施困境与对策建议OA

Challenges and Countermeasure Suggestions for Vehicle-to-Grid Engineering Implementation

中文摘要英文摘要

车网互动技术已被提出多年,但其规模化应用仍未能取得预想中的突破.文中分析了车网互动业务当下的现状与面临的困境,总结了开展车网互动尚需解决的工程和技术难题.针对中国充换电基础设施运营的3种典型场景,提出了加快车网互动规模化工程应用的行业解决思路,并结合实际给出了车网互动落地应用所需的业务体系架构,从政府、电网公司、车主、电动汽车和充换电基础设施厂商以及各类充换电基础设施运营商等层面,提出了推进车网互动业务工程化的实质性建议.此外,文中还全面探讨了车网互动的内涵,将车网互动的类型分为自主性互动和利益驱动型互动两种方式,并对车网互动业务的前景进行了展望.

The vehicle-to-grid(V2G)technology has been proposed for many years,but its large-scale application has yet to achieve the expected breakthrough.This paper analyzes the current status and challenges of the V2G business,summarizing the key engineering and technical issues that need to be resolved for its implementation.Focusing on three typical scenarios of charging and battery swapping facility operation in China,this paper proposes industry-level solution ideas to accelerate the large-scale engineering application of V2G.Combined with the actual situation,this paper also presents a business system architecture required for the practical application of V2G.Substantive suggestions for promoting the engineering of V2G business are proposed from the perspectives of the governments,power grid companies,vehicle owners,electric vehicle and charging and battery swapping facility manufacturers,as well as various charging and battery swapping facility operators.Furthermore,the connotation of V2G is comprehensively discussed.The types of V2G are categorized into two patterns:autonomous interaction and profit-driven interaction.Finally,an outlook on the prospects of V2G business is provided.

杨卫东;辛耀中;郭王勇;徐卓珺;张子谦

国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106国家电网公司国家电力调度控制中心,北京市 100031国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106

电动汽车车网互动充换电基础设施虚拟电厂聚合商台区智能终端

electric vehicle(EV)vehicle-to-grid(V2G)charging and battery swapping facility(CBSF)virtual power plant(VPP)aggregatorstation area smart terminal

《电力系统自动化》 2026 (15)

106-122,17

国家电网公司科技项目:"基于新型电力负荷管理系统的负荷资源分区分群聚合协同与灵活调控技术研究及应用"(5100-202212505A-3-0-SF). This work is supported by State Grid Corporation of China(No.5100-202212505A-3-0-SF).

10.7500/AEPS20240930008

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