Xie Guang-cheng, C. Wenli, Liu Xingzhi, Zheng Ke, Zou Bo, S. Hongliang
{"title":"Research and Application of Verification Error Data Processing of Electricity Meter Based on Grubbs Criterion","authors":"Xie Guang-cheng, C. Wenli, Liu Xingzhi, Zheng Ke, Zou Bo, S. Hongliang","doi":"10.1109/ICSGEA.2019.00012","DOIUrl":null,"url":null,"abstract":"In electricity meter automatic verification process, sometimes abnormal verification error data was given due to the drastic fluctuations of load power and frame drop. Traditional processing method increases measurement and takes average value as the basic data of electricity meter, which is invalid when the abnormity error data is far away from maximum permissible error. For this reason, a new method of determination of basic error is put forward, which uses Grubbs criterion to recognize and eliminate abnormal error data. Take the 13 verification error data of triphase electricity meter as analysis sample, Grubbs criterion is used to eliminate abnormal error data in the data processing, and further calculate the verification basic error of electricity meter. The results show that the method can more accurately reflect the basic error of electricity meter, and improve the verification efficiency, decrease the waste of verification source.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In electricity meter automatic verification process, sometimes abnormal verification error data was given due to the drastic fluctuations of load power and frame drop. Traditional processing method increases measurement and takes average value as the basic data of electricity meter, which is invalid when the abnormity error data is far away from maximum permissible error. For this reason, a new method of determination of basic error is put forward, which uses Grubbs criterion to recognize and eliminate abnormal error data. Take the 13 verification error data of triphase electricity meter as analysis sample, Grubbs criterion is used to eliminate abnormal error data in the data processing, and further calculate the verification basic error of electricity meter. The results show that the method can more accurately reflect the basic error of electricity meter, and improve the verification efficiency, decrease the waste of verification source.