大型停车区域的电动汽车充电桩规划设计

任哲; 邹瑄; 温一凡; 王佃波; 张晓滨

大型停车区域的电动汽车充电桩规划设计

1. 中国能源建设集团陕西省电力设计院有限公司;
2. 西安理工大学电气工程学院

基金项目:

国家自然科学基金资助项目(52207222)

中电工程集中开发科研项目(GSKJ2-F01-2021)

西安市科技计划项目(24GXFW0067)~~

详细信息

作者简介:
任哲(1983),男,陕西西安人,硕士,高级工程师,研究方向为变电一次及配电网

通讯作者:
张晓滨(1977),男,山西离石人,博士,副教授,研究方向为智能电网的优化控制和新能源并网控制

中图分类号: U491.8;TM910.6
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出版历程
- 收稿日期: 2024-05-27
- 刊出日期: 2024-08-19

Planning of Electric Vehicle Charging Pile for Large Parking Lots

1. China Energy Engineering Group Shaanxi Electric Power Design Institute Co.,Ltd.;
2. School of Electrical Engineering,Xi’an University of Technology

摘要

摘要: 目前电动汽车充电桩（EVCP）规划通常针对区县级较大区域开展，但是对园区级区域进行EVCP规划更有利于提高投资者的积极性和周边电动汽车（EV）用户的体验。以车流量较大的大型停车区域为研究对象，通过调研获得区域内EV的电池容量、停放情况、电量分布以及充电意愿等统计数据，并基于这些数据应用蒙特卡洛法得出区域内EV充电负荷的时域分布。依据区域内的电网信息以及EV的充电负荷分布，给出以投资成本、电网网损及用户满意度综合最优为目标的EVCP规划设计方法。最后以某机场远端大型停车场为算例，验证了所提园区级EVCP规划方法的有效性，该方法相较于传统EVCP的规划方法更加经济合理。
- 电动汽车 /
- 充电桩规划 /
- 充电负荷预测 /
- 多目标优化
Abstract: Electric vehicle charging piles（EVCP）planning is usually carried out for larger areas at the district and county level,but EVCP planning for park-level areas is more conducive to improving investor’s motivation and the experience of neighboring electric vehicle（EV）users. Taking the large parking areas with large traffic flow as study object,the battery capacity,parking situation,state of charge distribution and charging willingness of EVs in the region are obtained through the survey. Then based on these statistical data,the Monte Carlo method is used to carry out the time domain of EV charging load distribution. Then according to the grid information and the EV charging load distribution in the region,the EVCP planning method is proposed with the comprehensive optimization of investment,grid line loss and user satisfaction. Finally,a large parking lot of an airport is taken as an example to verify the effectiveness of the proposed EVCP planning method. Compared with the traditional EVCP planning,the proposed method is more economical and reasonable.
- electric vehicle /
- charging pile planning /
- charging load forecasting /
- multi-objective optimization

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参考文献(28)

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