AMI data-driven state evaluation method for measurement operation error of electric vehicle charging facilities

被引：0
作者：
Liu W. [1 ]
Wang C. [1 ]
Xiao T. [1 ]
Lu C. [1 ]
机构：
[1] Marketing Service Center of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 10期
关键词：
advanced measurement infrastructure; charging facilities; data-driven; electric vehicles; metering operation error; metrological detection; state evaluation;
D O I：
10.16081/j.epae.202204078
中图分类号：
学科分类号：
摘要：
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. © 2022 Electric Power Automation Equipment Press. All rights reserved.
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页码：70 / 76
页数：6
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