| 引用本文: | 刘炜,王朝亮,肖涛,陆春光.AMI数据驱动的电动汽车充电设施计量运行误差状态评估方法[J].电力自动化设备,2022,42(10): |
| LIU Wei,WANG Chaoliang,XIAO Tao,LU Chunguang.AMI data-driven state evaluation method for measurement operation error of electric vehicle charging facilities[J].Electric Power Automation Equipment,2022,42(10): |
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| 摘要: |
| 电动汽车充电设施作为强制计量管理器具，其计量性能的准确性和可靠性直接关系消费者的权益。依据现行检定规程，采用传统的充电设施计量现场检定方法存在检定人员投入大、检定效率低的问题，无法满足数量庞大的充电设施计量检测需求。为此，提出了一种高级量测体系(AMI)数据驱动的电动汽车充电设施计量运行误差状态评估方法。建立了充电设施计量运行误差模型，利用源自电力公司AMI的高频充电数据求解模型，实现对在运充电设施计量运行误差的状态评估。现场试点应用结果验证了所提方法的有效性，能实现电动汽车充电设施计量性能的在线监测与异常预警，保障充电设施的精准计量。 |
| 关键词: 电动汽车 充电设施 高级量测体系 计量运行误差 计量检测 状态评估 数据驱动 |
| DOI：10.16081/j.epae.202204078 |
| 分类号:U491.8;TM910.6 |
| 基金项目:国网浙江省电力有限公司科技项目(5211YF200053) |
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| AMI data-driven state evaluation method for measurement operation error of electric vehicle charging facilities |
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LIU Wei, WANG Chaoliang, XIAO Tao, LU Chunguang
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Marketing Service Center of State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 311121, China
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| Abstract: |
| As the compulsory measurement management instrument, the accuracy and reliability of electric vehicle charging facilities’ measurement performance are directly related to the rights and interests of consumers. According to the current verification regulations, the traditional on-site measurement verification method of charging facilities has the problems of large verification personnel investment and low verification efficiency, which cannot meet the measurement and testing demands of a large number of charging facilities. Therefore, an AMI(Advanced Measurement Infrastructure) data-driven state evaluation method for measurement operation error of electric vehicle charging facilities is proposed. The measurement operation error model of charging facilities is established, and the high-frequency charging data collected from AMI of power company are used to solve the model and the state evaluation of metering operation error of charging facilities in operation is realized. The field pilot application results verify the effectiveness of the proposed method, which can realize the online monitoring and abnormal warning of electric vehicle charging facilities’ measurement performance and ensure the accurate measurement of charging facilities. |
| Key words: electric vehicles charging facilities advanced measurement infrastructure metering operation error metrological detection state evaluation data-driven |
