水利水电技术（中英文）2024，Vol.55Issue(7)：32-44,13.DOI:10.13928/j.cnki.wrahe.2024.07.003
计及电动汽车充电需求的城市配电网多场景低碳优化调度研究
Multi-scenario low-carbon optimization scheduling study for urban distribution networks considering electric vehicle charging demand
摘要
Abstract
[Objective]With the increasing proportion of photovoltaics,energy storage,and electric vehicle loads in the distribu-tion grid,the fluctuation and uncertainty of high-proportion renewable energy pose significant challenges to the low-carbon opera-tion of the distribution network.In order to effectively reduce the carbon emissions of the distribution network,[Methods]This paper proposes a low-carbon economic optimization scheduling method for distribution networks that takes into account the char-ging demands of electric vehicle(EV)loads.Initially,a method for calculating the carbon emissions of the distribution network load side is provided based on dynamic carbon emission factors.For residential and commercial user scenarios,charging models for electric vehicle loads are developed under various urban distribution network scenarios.The charging status of electric vehicle loads is taken as a decision variable,and the optimization scheduling of the distribution network is performed with the objective of minimizing scheduling costs and carbon emissions.Case studies are conducted on an improved IEEE-33 node distribution network to analyze the effectiveness of the proposed method,[Results]Taking a typical summer day as an example,under the coordina-ted State of Charge(SOC)scheduling mode,the scheduling costs and carbon emissions of residential loads are reduced by 8.06％and 13.92％,respectively,compared to the uncoordinated SOC scheduling mode.Similarly,the scheduling costs and carbon emissions of commercial loads are reduced by 4.31％and 4.87％,respectively,compared to the uncoordinated SOC scheduling mode.[Conclusion]The result indicate that,for different user scenarios,employing a coordinated State of Charge(SOC)charging scheduling method for electric vehicle charging loads can effectively reduce the scheduling costs of the distribu-tion network and decrease the carbon emissions of the distribution network.关键词
碳排放流理论/城市配电网/需求响应负荷/电动汽车充电负荷/低碳优化调度/影响因素/分布式/新能源Key words
carbon emission flux theory/urban distribution network/demand response load/electric vehicle charging load/low-carbon optimization scheduling/influencing factors/distributed/new energy分类
信息技术与安全科学引用本文复制引用
王一清,苏岭东,顾捷,洪芦诚..计及电动汽车充电需求的城市配电网多场景低碳优化调度研究[J].水利水电技术（中英文）,2024,55(7):32-44,13.基金项目
国家电网江苏省电力有限公司科技项目(J2022118) （J2022118）
国家自然科学基金项目(52077039) （52077039）
