| 引用本文: | 王守相,刘栋,于潞,赵倩宇.考虑交通网与配电网耦合基于数据包络分析的电动汽车充电设施多阶段规划方法[J].电力自动化设备,2022,42(10): |
| WANG Shouxiang,LIU Dong,YU Lu,ZHAO Qianyu.DEA-based multi-stage planning method of electric vehicle charging facilities considering coupling of transportation network and distribution network[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 近年来，电动汽车快速增长带来了对充电设施需求的增长，但当前普遍存在着充电设施数量与电动汽车规模不匹配、布局不合理等问题，原因在于充电设施的规划未考虑规划时序和交通网的需求。为此，提出一种考虑交通网与配电网耦合的电动汽车充电设施多阶段规划方法。首先，基于用户均衡配流原则，构建交通网与配电网的耦合模型，采用蒙特卡罗抽样方法生成多场景下的车流量分布情况；然后，将规划周期分为多个阶段，以用户充电满意度、经济性和电压波动性为优化目标，建立基于数据包络分析方法的多阶段规划模型；最后，以IEEE 33节点配电网与12节点交通网组成的耦合网络作为算例，采用改进的自由搜索算法进行求解，得到各阶段的优化配置方案。仿真结果表明，所提方法得到的规划方法能够使充电设施的规模更好地匹配电动汽车数量的增长。 |
| 关键词: 电动汽车 充电设施 交通网 配电网 耦合网络 用户均衡配流 数据包络分析 多阶段规划 |
| DOI：10.16081/j.epae.202204010 |
| 分类号:U469.72 |
| 基金项目:国家自然科学基金资助项目(52077149)；国家电网有限公司总部科技项目(5400-202199280A-0-0-00) |
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| DEA-based multi-stage planning method of electric vehicle charging facilities considering coupling of transportation network and distribution network |
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WANG Shouxiang, LIU Dong, YU Lu, ZHAO Qianyu
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Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
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| Abstract: |
| In recent years, the rapid growth of electric vehicles has brought about an increase in the demand for charging facilities. However, currently there are widespread problems such as the mismatch between the number of charging facilities and the scale of electric vehicles, the unreasonable layout, and so on. The reason is that the planning of charging facilities does not take into account the planning time sequence and the demand of transportation network. Therefore, a multi-stage planning method of electric vehicle charging facilities considering the coupling of transportation network and distribution network is proposed. Firstly, based on the principle of Nesterov user equilibrium, a coupling model of transportation network and distribution network is built, and Monte Carlo sampling method is used to generate traffic flow distribution in multiple scenarios. Then, the planning cycle is divided into several stages and the data envelopment analysis method-based multi-stage planning model is established with the optimization objectives of user charging satisfaction degree, economy and voltage fluctuation. Finally, taking the coupling network composed of IEEE 33-bus distribution network and 12-node transportation network as an example, the improved free search algorithm is used to solve the model to obtain the optimal configuration scheme of each stage. Simulative results show that the proposed planning method can make the scale of charging facilities better match the increase of the number of electric vehicles. |
| Key words: electric vehicles charging facilities transportation network distribution network coupling network Nesterov user equilibrium data envelopment analysis multi-stage planning |
