• DocumentCode
    1453363
  • Title

    Calculation of Measurement Correlations Using Point Estimate

  • Author

    Caro, Eduardo ; Morales, Juan Miguel ; Conejo, Antonio J. ; Mínguez, Roberto

  • Author_Institution
    Univ. Castilla-La Mancha, Ciudad Real, Spain
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    2095
  • Lastpage
    2103
  • Abstract
    Currents, voltages, and voltage-current phase angles are directly measured in substations and converted through current complex measurement systems into power injection and power-flow measurements. Since voltages, currents, and phase angles are directly measured, they are affected by errors that are statistically independent and generally Gaussian distributed. However, power injections and flows, which are fabricated out of currents, voltages, and phase angles, are affected by errors that are not generally independent. This paper describes a procedure to estimate the correlation matrix that characterizes the dependencies among all measurements within a substation. The proposed technique that relies on point estimate is accurate and computationally efficient. A realistic case study is used to compare the results obtained by using the proposed technique with those obtained using a cumbersome Monte Carlo algorithm.
  • Keywords
    Gaussian distribution; Monte Carlo methods; load flow; matrix algebra; substations; Monte Carlo algorithm; correlation matrix estimation; general Gaussian distribution; measurement correlation calculation; measurement systems; point estimate; power injection; power-flow measurements; substations; voltage-current phase angles; Current measurement; Fluid flow measurement; Goniometers; Monte Carlo methods; Particle measurements; Phase measurement; Power measurement; State estimation; Substations; Voltage; Correlation coefficients; dependent measurements; point estimate;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2041796
  • Filename
    5438873