D. Apetrei, I. Silvas, M. Albu, P. Postolache, R. Neurohr
{"title":"Voltage estimation in power distribution networks. A case study on data aggregation and measurement uncertainty","authors":"D. Apetrei, I. Silvas, M. Albu, P. Postolache, R. Neurohr","doi":"10.1109/AMUEM.2009.5207600","DOIUrl":null,"url":null,"abstract":"The paper presents a real case study of uncertainty evaluation in case of data aggregation. The analysis is related to the half period rms voltage time aggregation stated by IEC 61000-4-30 for voltage measurement and it is based on selected data gathered during more than one year. In order to perform the measurements campaign, the special facility (OSC function) of custom designed equipment called MOT was used. The mix of measurement uncertainty, data aggregation and non-stationarity of data make the search of relevant information difficult.","PeriodicalId":180838,"journal":{"name":"2009 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Workshop on Advanced Methods for Uncertainty Estimation in Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMUEM.2009.5207600","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The paper presents a real case study of uncertainty evaluation in case of data aggregation. The analysis is related to the half period rms voltage time aggregation stated by IEC 61000-4-30 for voltage measurement and it is based on selected data gathered during more than one year. In order to perform the measurements campaign, the special facility (OSC function) of custom designed equipment called MOT was used. The mix of measurement uncertainty, data aggregation and non-stationarity of data make the search of relevant information difficult.
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