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作 者:曹佳晨 张沈习[1] 张璐[2] 刘文亮 曹毅 梁宇 CAO Jiachen;ZHANG Shenxi;ZHANG Lu;LIU Wenliang;CAO Yi;LIANG Yu(Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education(Shanghai Jiao Tong University),Shanghai 200240,China;College of Information and Electrical Engineering,China Agricultural University,Beijing 100083,China;Xiamen Power Supply Company of State Grid Fujian Electric Power Co.,Ltd.,Xiamen 361000,China;Energy Research Institute of China Southern Power Grid Co.,Ltd.,Guangzhou 510663,China)
机构地区:[1]电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市200240 [2]中国农业大学信息与电气工程学院,北京市100083 [3]国网福建省电力有限公司厦门供电公司,福建省厦门市361000 [4]南方电网能源发展研究院有限责任公司,广东省广州市510663
出 处:《电力系统自动化》2025年第5期24-37,共14页Automation of Electric Power Systems
基 金:国家自然科学基金资助项目(52177099,51907123);上海市启明星计划资助项目(23QA1405400)。
摘 要:交通流的时空变化会导致电动汽车充电需求分布发生改变,进而影响配电网电动汽车承载能力。为了精细化考虑交通流的影响,提出了计及交通流的柔性互联配电网(FIDN)电动汽车承载能力计算方法。该方法考虑智能软开关的灵活可调能力,以降低电动汽车规模化接入对配电网的冲击。首先,基于半动态交通流模型,综合考虑多种电动汽车接入模式,建立电动汽车调控模型;其次,计及交通流影响下的电动汽车调控措施,以能够承载的电动汽车数量最大为目标,提出考虑交通流的FIDN电动汽车承载能力计算模型;然后,通过二次凸包络松弛方法、大M法、二阶锥松弛方法等实现模型转化,并提出嵌套收紧松弛算法对模型进行求解,以减小松弛间隙;最后,在改进的标准算例及福建省某实际算例中进行测试分析,验证了所提模型和算法的有效性。The temporal-spatial variation of traffic flow leads to changes in the distribution of electric vehicle charging demand,which further affects the electric vehicle hosting capacity in the distribution network.In order to elaborately consider the influence of traffic flow,a calculation method for the electric vehicle hosting capacity in the flexibly interconnected distribution network(FIDN)considering traffic flow is proposed.This method considers the flexible adjustable ability of the soft open point to reduce the adverse effect of large-scale electric vehicle integration on distribution networks.Firstly,based on semi-dynamic traffic flow model,a regulation model for electric vehicles with various integration modes is established.Secondly,considering the regulation measures of electric vehicles under the influence of traffic flow,a calculation model for the electric vehicle hosting capacity in FIDN considering traffic flow is proposed to maximize the number of electric vehicles that can be carried.Then,the model is transformed by the quadratic convex relaxation method,the big-M method and the second-order cone relaxation method.To reduce the relaxation gap,a nested tightening relaxation algorithm is proposed to solve the model.Finally,the validity of the proposed model and algorithm is verified by the test and analysis in the modified standard case and an actual case in Fujian Province of China.
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