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基于遗传算法的电动汽车充电站选址定容研究

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本文提出了一种电动汽车充电站选址定容研究方法,旨在最小化建设成本并最大化需求覆盖.首先建立了充电站建设成本模型,考虑土地使用成本、设备购买成本和运行维护成本.然后提出了最大需求量覆盖模型,确定了充电需求量和充电站的服务能力.接着给出了约束条件,确保充电桩和变压器的配置满足需求.最后,采用遗传算法对该问题进行求解,并通过算例分析得到了最优的充电站选址和配置方案.该方法可帮助降低充电站建设成本,提高充电需求的覆盖率.
Research on Location and Capacity Determination of Electric Vehicle Charging Stations Based on Genetic Algorithm
This article proposes a research method for the location and capacity determination of electric vehicle charging stations,aiming to minimize construction costs and maximize demand coverage.Firstly,a cost model for charging station construction was established,taking into account land use costs,equipment purchase costs,and operation and maintenance costs.Then,a maximum demand coverage model was proposed to determine the charging demand and the service capacity of the charging station.Subsequently,constraints were provided to ensure that the configuration of the charging station and transformer met the requirements.Finally,a genetic algorithm was used to solve the problem,and the optimal charging station location and configuration scheme was obtained through case analysis.This method can help reduce the construction cost of charging stations and improve the coverage of charging needs.

charging station location selectioncapacity configurationgenetic algorithm

彭国财、邓玉珍、张邻

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南昌航空大学经济管理学院,江西南昌

南昌航空大学土木建筑学院,江西 南昌

充电站选址 容量配置 遗传算法

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(2)
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