• DocumentCode
    3021976
  • Title

    Voltage estimation in power distribution networks. A case study on data aggregation and measurement uncertainty

  • Author

    Apetrei, Dan ; Silvas, Ioan ; Albu, Mihaela ; Postolache, Petru ; Neurohr, Ralf

  • Author_Institution
    SC Electr. SA, Bucharest, Romania
  • fYear
    2009
  • fDate
    6-7 July 2009
  • Firstpage
    98
  • Lastpage
    102
  • 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. After a short introduction concerning relevant theoretical aspects of the measurement uncertainty evaluation and the aggregation process requirements according to the standards, the paper presents the measurement system. Estimation of the uncertainty is carried out with data gathered on two hypotheses: normal distribution of the measurement uncertainties associated with the half period rms voltage values and on experimental induced measurement uncertainties distribution. Conclusions and recommendations are drawn.
  • Keywords
    distribution networks; measurement uncertainty; voltage measurement; data aggregation; measurement uncertainty; power distribution networks; voltage estimation; voltage measurement; IEC standards; Measurement standards; Measurement uncertainty; Parameter estimation; Performance evaluation; Power measurement; Power system measurements; Power systems; Time measurement; Voltage measurement; Voltage measurement; half cycle rms voltage measurement; time aggregation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Methods for Uncertainty Estimation in Measurement, 2009. AMUEM 2009. IEEE International Workshop on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-3593-7
  • Electronic_ISBN
    978-1-4244-3593-7
  • Type

    conf

  • DOI
    10.1109/AMUEM.2009.5207600
  • Filename
    5207600