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
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西安电子科技大学

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C93

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国家自然科学基金项目(面上项目,重点项目,重大项目)


A Two-stage Multi-objective Interval Location Optimization Decision of Electric Vehicle Charging Station under Charging Interruption Scenario
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Xidian University

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    摘要:

    为提高电动汽车公共充电站服务质量和遭遇突发事故时的应急能力、降低应急响应运营成本,本文结合充电站选址问题,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,构建了两阶段多目标区间p-median模型.第一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;第二阶段针对瘫痪情景发生后的信息,建立了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.

    Abstract:

    To improve the service quality and the emergency ability of electric vehicle public charging station in case of emergency, and reduce the operation cost of emergency response. This paper combines the location decision-making problem of charging station, considering the uncertainty of user demand and the complexity of emergency situation, by 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 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 is obtained. Finally, taking a certain area of Xi"an as an example, the paper verified the feasibility and effectiveness of the model,so as to provides necessary decision-making reference and support for the scientific location of electric vehicle charging station under the situation of charging interruption.

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历史
  • 收稿日期:2020-09-11
  • 最后修改日期:2021-01-25
  • 录用日期:2021-02-10
  • 在线发布日期: 2021-03-03
  • 出版日期: