考虑超大功率的光储充换电站选址定容方法
作者:
作者单位:

(1.国网天津市电力公司电力科学研究院,天津 300384;2.国网天津市电力公司,天津 300010;3.国网电动汽车服务(天津)有限公司,天津 300143;4.三峡大学电气与新能源学院,湖北 宜昌 443002;5.国网天津市电力公司城东供电公司,天津 300250)

通讯作者:

张智达(1994—),男,硕士研究生,主要从事车网互动、充电设施建设运营业务等方面的研究;E?mail:1540481951@qq.com

中图分类号:

TM73

基金项目:

国网天津市电力公司科学技术研发项目(电科?研发2023?53)


Photovoltaic and energy storage charging and switching station siting and capacity determination method considering ultra‑high power
Author:
Affiliation:

(1.Electric Power Research Institute, State Grid Tianjin Electric Power Co.,Ltd., Tianjin 300384, China; 2. State Grid Tianjin Electric PowerCo.,Ltd., Tianjin 300010, China; 3. State Grid Electric Vehicle Service (Tianjin) Co., Ltd., Tianjin 300143, China; 4. College of ElectricalEngineering and New Energy, China Three Gorges University, Yichang 443002, China; 5. Chengdong Power Supply Branch,State Grid Tianjin Electric Power Co.,Ltd., Tianjin 300250, China)

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    摘要:

    现有研究在超大功率充换电站的规划中对用户行为差异性和随机性刻画不全面,且缺乏对站内光伏、储能等分布式灵活资源协同规划的考虑。为此,提出一种计及多耦合因素的光储充换一体化电站双层选址定容方法。首先,构建了考虑用户出行特性、温度与实时路况等因素的电动汽车充换电负荷预测模型;其次,为兼顾用户充、换电需求与配电网安全经济发展,将光伏、储能设施作为能量缓冲装置,对其进行精细化出力建模;再次,构建光储充?换电站双层规划模型,其上层模型以充换电站年化收益最优为目标,进行选址,下层模型以用户到站的距离最短为目标,确定各充?换电站的服务范围,并将结果反馈给上层,结合预测结果进行定容优化;最后,以路网与IEEE 33节点配电网耦合拓扑结构为例,验证了所提模型和方法的有效性。研究表明,该方法可以使超大功率充电设施合理接入充换电站,为城市充电基础设施的规划提供理论指导与技术方法支撑。

    Abstract:

    Existing studies in the planning of ultra-high power charging and switching stations lack a comprehensive depiction of user behavioral variability and stochasticity and the consideration of collaborative planning of distributed flexible resources such as photovoltaic and energy storage in the station. To this end, a two-tier siting and capacity determination method for integrated photovoltaic and energy storage charging and switching power stations involving multiple coupling factors is proposed. First, an electric vehicle charging and switching load prediction model considering user travel characteristics, temperature, and real-time road conditions is constructed. Second, to take into account user charging and switching needs and secure and economic development of distribution networks, photovoltaic and energy storage facilities are used for energy buffer, and their output is modeled in a refined manner. Additionally, a two-tier planning model for photovoltaic and energy storage charging and switching stations is constructed, with the upper model taking the optimal annualized return of charging and switching stations as the target for siting and the lower model taking the shortest distance from users to stations as the target for determining the service range of charging and switching stations. The results are fed back to the upper model, and the capacity determination is optimized in combination with prediction results. Finally, the validity of the proposed model and method is verified by taking the topology of the road network and IEEE 33 node distribution network coupling for example. The study shows that the method can make the ultra-high power charging facilities reasonably integrate with the charging and switching stations and provide theoretical and technical support for the planning of urban charging infrastructure.

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刘晓楠,张 剑,张智达,等.考虑超大功率的光储充换电站选址定容方法[J].电力科学与技术学报,2025,40(2):217-226.
LIU Xiaonan, ZHANG Jian, ZHANG Zhida, et al. Photovoltaic and energy storage charging and switching station siting and capacity determination method considering ultra‑high power[J]. Journal of Electric Power Science and Technology,2025,40(2):217-226.

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  • 在线发布日期: 2025-06-06
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