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

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国家科技期刊平台
NETL
NSTL
万方数据

中文摘要：[目的]随着光伏、储能、电动汽车负荷在配电网中占比不断增加，高比例新能源的波动性与不确定性给配电网低碳运行带来了巨大挑战。为了有效地减少配电网的碳排放量，[方法]提出了一种考虑电动汽车负荷充电需求的配电网低碳经济优化调度方法。首先给出了基于动态碳排放因子的配电网负荷侧碳排放量计算方法，并针对居民用户、商业用户场景，构建城市配电网多场景下的电动汽车负荷充电模型，并将电动汽车负荷充电状态作为决策变量，以调度成本和碳排放量最小为目标，对配电网进行优化调度。通过在改进IEEE-33节点配电网中进行算例分析[结果]以夏季典型日为例，在可协调SOC调度模式下，居民负荷调度成本和碳排放量相比于无序SOC调度模式分别降低了8。06％、13。92％，商业负荷调度成本和碳排放量相比于无序SOC调度模式分别降低了 4。31％、4。87％。[结论]结果表明，针对不同的用户场景，对电动汽车充电负荷采用可协调SOC的充电调度方法，可以有效减小配电网的调度成本，降低配电网的碳排放量。

外文标题：Multi-scenario low-carbon optimization scheduling study for urban distribution networks considering electric vehicle charging demand

外文摘要：[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.

外文关键词：

carbon emission flux theoryurban distribution networkdemand response loadelectric vehicle charging loadlow-carbon optimization schedulinginfluencing factorsdistributednew energy

作者：

王一清、苏岭东、顾捷、洪芦诚

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作者单位：

国网江苏省电力有限公司徐州供电公司,江苏徐州 221005

东南大学电气工程学院,江苏南京 210018

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

基金：

国家电网江苏省电力有限公司科技项目国家自然科学基金项目

项目编号：

J202211852077039

出版年：

2024

DOI：

10.13928/j.cnki.wrahe.2024.07.003

水利水电技术(中英文)

水利部发展研究中心

水利水电技术(中英文)

CSTPCD北大核心

影响因子：0.456

ISSN：1000-0860

年,卷(期)：2024.55(7)