• DocumentCode
    2532307
  • Title

    Transmission line’s parameter estimation using state estimation algorithms

  • Author

    Olarte, Andres ; Diaz, Hernando

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Colombia, Bogota
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Some experiences on the use of state estimation methods for identifying the parameters of transmission lines are described. As a result, an algorithm to estimate the parameters of transmission lines and transformers is proposed. It uses a set of measurements for different operating conditions; these measurements can be obtained from historical records. Using measurements of voltage and active and reactive power flows on both ends of a given line, an estimator is built that can compute the parameters of a line, independently of the condition of the rest of the system. In a similar way, it can compute the parameters and, more importantly, the position of the tap of a transformer. The method has been used to identify the parameters of all lines and transformers for the IEEE 30-node system. The performance of the estimation process, as proposed, is independent of the number of lines to be identified as long as there is enough variability in the linepsilas loading, so the size of the system is not relevant, as long as there are enough measurements.
  • Keywords
    power measurement; power system parameter estimation; power transformers; power transmission lines; voltage measurement; IEEE 30-node system; parameter estimation; power measurements; state estimation algorithms; transformers; transmission line; voltage measurements; Parameter estimation; Power generation economics; Power measurement; Power system reliability; Power transmission lines; State estimation; Transformers; Transmission line measurements; Transmission line theory; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596139
  • Filename
    4596139