充电中断情景下电动汽车充电站两阶段多目标区间选址优化决策  

A two-stage multi-objective interval location optimization decision of electric vehicle charging station under charging interruption scenario

作　　者：孙秉珍[1] 杨佳楠 白军成 楚晓丽 王婷[1] 陈香堂 SUN Bing-zhen;YANG Jia-nan;BAI Jun-cheng;CHU Xiao-li;WANG Ting;CHEN Xiang-tang(School of Economics and Management,Xidian University,Xi’an 710126,China;Traditional Chinese Medicine Big Data Research Team,The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou 510260,China;School of Economics and Management,Wenzhou University Oujiang College,Wenzhou 325035,China)

机构地区：[1]西安电子科技大学经济与管理学院,西安710126 [2]广州中医药大学第二附属医院中医药大数据研究团队,广州510260 [3]温州大学瓯江学院经济与管理学院,浙江温州325035

出　　处：《控制与决策》2022年第4期1005-1014,共10页Control and Decision

基　　金：国家自然科学基金项目(72071152,71571090,81774218);西安市科技计划软科学研究项目(XA2020-RKXYJ-0086);陕西省高校青年创新团队项目(2019);广东省教育厅基金项目(2018GWQNCX050);浙江省自然科学基金项目(LY20G010007)。

摘　　要：考虑到充电站选址用户需求量的不确定性和突发状况的复杂性特点,以充电站选址服务效益最好、充电站风险最小以及“预选址-增建选址”两阶段经济成本最低为目标,基于传统p-median模型和多目标应急选址模型,构建两阶段多目标区间p-median模型.第1阶段在需求和设施损坏存在不确定因素的情况下,基于不确定需求模型模拟充电站遭遇突发情景下的不同需求量,构建出基于p-median的“预选址”模型;第2阶段针对瘫痪情景发生后的信息,建立一种反应式修复调整策略的“增建选址”模型.引入区间模糊集理论对模型进行转换,利用免疫优化算法对模型进行求解分析,得到充电中断情景下的充电站选址最优方案.最后,以西安市某区域为例,验证模型的可行性与有效性,为充电中断情境下电动汽车充电站科学选址提供了必要的决策参考和支持.This paper combines the location decision-making problem of charging station,considering the uncertainty of user demand and the complexity of emergency situation,by regarding the best charging station location service efficiency,charging station risk minimum and"pre location and additional location"two-stage economic cost minimum as the goal.Based on the traditional p-median model and the multi-objective emergency location model,a two-stage multi-objective interval p-median model is constructed.In the first stage,there are uncertain factors in demand and facility damage,a“pre location”model based on p-median is constructed depends on the uncertain demand model to simulate the different demand of charging station in the emergency situation;in the second stage,a“additional location”model of the reactive repair adjustment strategy is established according to the information after the paralysis scenario.The interval fuzzy set theory is introduced to transform the model,and the immune optimization algorithm is used to solve and analyze the model,so as to get the charging station optimal location scheme under the charging interruption situation.Finally,taking a certain area of Xi’an as an example,the paper verifies the feasibility and effectiveness of the model,so as to provide necessary decision-making reference and support for the scientific location of electric vehicle charging station under the situation of charging interruption.

关 键 词：电动汽车 充电站选址 多目标区间p-median模型 免疫优化算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]