| 引用本文: | 张美霞,张倩倩,杨 秀,余文昶,曹俊波.基于交通-电力均衡耦合的电动汽车快充站与配电网联合规划[J].电力系统保护与控制,2023,51(11):51-63.[点击复制] |
| ZHANG Meixia,ZHANG Qianqian,YANG Xiu,YU Wenchang,CAO Junbo.Joint planning of electric vehicle fast charging stations and distribution network based on atraffic-electricity equilibrium coupling model[J].Power System Protection and Control,2023,51(11):51-63[点击复制] |
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| 摘要: |
| 针对现有充电站规划大多忽略配电网容量上限，且交通网、快充网以及配电网耦合关系考虑单一导致电动汽车大量接入产生配网负载不均的问题，提出一种基于交通-电力均衡耦合的电动汽车快充站与配电网双层联合规划模型。首先，基于海量网约车订单数据进行数据挖掘和出行特征融合，得到快充负荷时空分布。然后，基于交通网-快充网-配电网之间的信息交互与能量流动关系提出均衡分区耦合模型，并在此基础上建立电动汽车快充站与配电网双层联合规划模型，采用遗传算法与混合整数线性规划相结合的方法求解。最后，基于成都市主城区路网，以54节点配电网为例开展仿真分析，结果表明，提出的双层联合规划模型对于电动汽车快充站规划具有一定的可行性，且均衡耦合模型可以优化配网分区结果，在一定程度上提高了配电网的安全性和稳定性。 |
| 关键词: 电动汽车 网约车数据挖掘 交通-电力耦合 快充站规划 配电网扩展 |
| DOI：10.19783/j.cnki.pspc.236015 |
| 投稿时间：2022-07-25修订日期：2023-01-01 |
| 基金项目:国家自然科学基金项目资助(52207121)；上海电力人工智能工程技术研究中心研究项目资助(19DZ2252800) |
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| Joint planning of electric vehicle fast charging stations and distribution network based on atraffic-electricity equilibrium coupling model |
| ZHANG Meixia1,ZHANG Qianqian1,YANG Xiu1,YU Wenchang2,CAO Junbo2 |
| (1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. China Huadian Corporation Ltd. Shanghai Branch, Shanghai 200126, China) |
| Abstract: |
| There is a problem in that most existing electric vehicle (EV) charging station planning ignores the upper limit of distribution network capacity. Also, considering the single coupling relationship between transportation, fast charging and distribution network, leads to large amount of EV access and uneven distribution network partition. Thus a joint planning model of EV fast charging stations and distribution network based on a traffic-electricity equilibrium coupling model is proposed. First, data mining and travel feature fusion are carried out based on massive online hailing order data. Then, an equilibrium partition coupling model is proposed, and on this basis, a two-layer joint programming model of EV fast charging station and distribution network is established. This is analyzed by a combination of genetic algorithm and mixed integer linear programming. Finally, based on the main road network in Chengdu, with a 54-node distribution network as an example to carry out the simulation analysis, the results show that the presented double joint planning model has a certain feasibility, and the coupling model can optimize the distribution network partition results, to a certain extent, and improve the security and stability of the distribution network. |
| Key words: electric vehicles online car-hailing data mining traffic-electricity coupling fast charging stations planning distribution network expansion |
