| 基于网格密度聚类算法的新能源充电桩运维优化模型 |
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| 引用本文： | 康佳,王薇蓉,李昂.基于网格密度聚类算法的新能源充电桩运维优化模型[J].中州煤炭,2022,0(12):169-172. |
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| 作者姓名： | 康佳 王薇蓉 李昂 |
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| 作者单位： | 1.国网电动汽车（山西）服务有限公司，山西 太原030000； 2.国网山西省电力公司营销服务中心，山西 太原030000; 3.安徽继远软件有限公司，安徽 合肥230001 |
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| 摘 要： | 伴随着碳达峰、碳中和目标的提出，国家支持新能源行业发展的力度不断增强，而新能源汽车生产规模的扩大必然带来更多的充电需求，从而使得电动汽车充电基础设施在日常生活中发挥着重要的作用。但目前充电桩行业的盈利情况却并不乐观，归根到底是充电成本无法降低。从充电桩现状入手，利用聚类分析法优化电动汽车充电设施企业的运维方式，达到降本增效的作用。利用实例表明了本模型的实际价值。
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| 关 键 词： | 新能源充电桩 网格密度聚类算法 充电桩运维 |
Operation and maintenance optimization model of new energy charging pile based on grid density clustering algorithm |
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| Kang Jia ,Wang Weirong,Li Ang. Operation and maintenance optimization model of new energy charging pile based on grid density clustering algorithm[J].Zhongzhou Coal,2022,0(12):169-172. |
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| Authors: | Kang Jia Wang Weirong Li Ang |
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| Affiliation: | 1.State Grid Electric Vehicle（Shanxi） Service Company.Ltd.，Taiyuan030000，China；2.State Grid Shanxi Marketing Service Center，Taiyuan030000，China;3.Anhui Jiyuan Software Co.，Ltd.，Hefei230001，China |
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| Abstract: | With the proposal of the goal of carbon peaking and carbon neutralization，the state′s support for the development of the new energy industry had been increasing，and the expansion of the production scale of new energy vehicles would inevitably bring more charging demand，which made the electric vehicle charging infrastructure play an important role in daily life.However，the current profitability of the charging pile industry was not optimistic.In the final analysis，the charging cost could not be reduced.Starting from the status quo of charging piles，the cluster analysis method was used to optimize the operation and maintenance mode of electric vehicle charging facility enterprises，so as to reduce costs and increase efficiency.The practical value of this model was demonstrated by an example. |
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| Keywords: | ,new energy charging pile, grid density clustering algorithm, operation and maintenance of charging pile |
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