• DocumentCode
    648377
  • Title

    Application of the undetectability index to design reliable metering systems for bad data processing

  • Author

    Benedito, R.A.S. ; Alberto, Luis Fernando C. ; Bretas, Newton G. ; London, Joao B. A.

  • Author_Institution
    Dept. of Electr. Eng. - DAELT, Univ. Tecnol. Fed. do Parana - UTFPR, Curitiba, Brazil
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a new insight to design reliable metering systems for state estimation purposes based on the Undetectability Index (UI). Gross errors in measurements with high UI are very difficult to be detected by methods based on the analysis of the Weighted Least Squares (WLS) state estimator residuals. This paper explores the information provided by UI to design metering systems more reliable for gross errors processing. The idea is to obtain observable metering system, absent of both critical measurements and critical sets, formed by measurements with UI lower than a pre-specified value. This paper also presents the necessary theoretical concepts and a very simple algorithm to compute the UI of all available measurements in a metering system, as well as, the results of some computer simulations with IEEE-14 and 30 bus systems.
  • Keywords
    least squares approximations; power system measurement; power system state estimation; IEEE-14 bus system; IEEE-30 bus system; bad data processing; computer simulations; critical measurements; critical sets; gross errors processing; reliable metering systems; state estimation purposes; undetectability index; weighted least squares state estimator residuals; Indexes; Measurement uncertainty; Power measurement; Reliability; State estimation; Vectors; Voltage measurement; Bad Data Processing; Geometric Interpretation; Metering System Design; Power System State Estimation; Undetectability Index; Weighted Least Squares Estimator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672956
  • Filename
    6672956