引用本文: | 臧海祥,舒宇心,傅雨婷,等.考虑多需求场景的城市电动汽车充电站多目标规划[J].电力系统保护与控制,2021,49(5):59-80.[点击复制] |
ZANG Haixiang,SHU Yuxin,FU Yuting,et al.Multi-objective planning of an urban electric vehicle charging station considering multi demand scenarios[J].Power System Protection and Control,2021,49(5):59-80[点击复制] |
|
摘要: |
当前,多数研究基于用户出行路径确定EV充电需求,但是往往未考虑到多种不确定性。基于用户出行数据,考虑多种不确定性因素,在三种场景下对EV充电需求进行模拟,并采用K-means聚类算法得到三种场景下的充电需求。其次,基于此建立了一个综合考虑用户侧与非用户侧利益的多目标规划模型。另外,还提出了考虑多场景的改进排队理论对充电站定容,所提规划模型由NSGA-Ⅱ求解,并采用TOPSIS综合评价法确定规划方案。最后,以山东省潍坊市部分城区为规划区域,交通网耦合IEEE 69节点配电网为算例验证了所提规划模型的有效性与优越性。 |
关键词: 电动汽车 充电站 充电需求 选址与定容 多目标规划 |
DOI:DOI: 10.19783/j.cnki.pspc.200579 |
投稿时间:2020-05-24修订日期:2020-06-30 |
基金项目:国家自然科学基金青年基金资助项目(51507052) |
|
Multi-objective planning of an urban electric vehicle charging station considering multi demand scenarios |
ZANG Haixiang,SHU Yuxin,FU Yuting,WEI Zhinong,SUN Guoqiang |
(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China) |
Abstract: |
At present, most studies determine EV charging needs based on user travel paths, but they have not taken multiple uncertainties into account. Based on user travel data, this paper considers various uncertain factors, simulates EV charging requirements in three scenarios, and uses a K-means clustering algorithm to obtain charging requirements in those scenarios. Secondly, based on charging requirements, a multi-objective planning model that comprehensively considers the interests of both the user side and the non-user side is established. In addition, this paper also proposes an improved queuing theory that considers multiple scenarios to fix the capacity of charging stations. The proposed planning model is solved by NSGA-II, and the TOPSIS comprehensive evaluation method is used to determine the planning scheme. Finally, taking the urban area of Weifang in Shandong Province as the planning area, and the transportation network coupled with the IEEE 69 node distribution network as an example, the effectiveness and superiority of the planning model are verified.
This work is supported by the Youth Fund of National Natural Science Foundation of China (No. 51507052). |
Key words: electric vehicle charging station charging demand sitting and sizing multi-objective planning |