• DocumentCode
    648439
  • Title

    Treatment of transformers and voltage regulators in branch current state estimation for distribution networks

  • Author

    Houari, M. ; Kocar, I. ; Therrien, Francis ; Lacroix, J.S.

  • Author_Institution
    Ecole Polytech. de Montreal, Montréal, QC, Canada
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The branch current state estimators available in the existing literature consider the distribution networks as composed of lines and cables. In this paper, a general technique is demonstrated in order to handle other key distribution network components such as transformers and voltage regulators. It is also demonstrated how to consider the tap positions of transformers and regulators as state variables in the estimation process given that they are rarely telemetered. The performance of iterative optimization algorithms depends strongly on the initial solution. In this paper, the load allocation algorithm is used in order to obtain an initial solution and associate loads with pseudo-measurements. The latter step is necessary in order to assure observability of the network. The load allocation algorithm used in this study is a straightforward tool based on ladder iterative algorithm.
  • Keywords
    iterative methods; load management; optimisation; power distribution planning; power system state estimation; power transformers; voltage regulators; branch current state estimation; distribution network components; distribution state estimator; iterative optimization algorithms; ladder iterative algorithm; load allocation algorithm; network observability; pseudo-measurements; transformer treatment; voltage regulator treatment; Current measurement; Jacobian matrices; Load flow; Regulators; State estimation; Voltage control; Voltage measurement; Branch currents; State Estimator (SE); Weighted Least Squares (WLS); distribution networks; tap position;
  • 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.2013.6673021
  • Filename
    6673021