• DocumentCode
    1496885
  • Title

    State Estimation for Smart Distribution Substations

  • Author

    Gómez-Quiles, Catalina ; Gómez-Exposito, Antonio ; De la Villa Jaén, Antonio

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Sevilla, Sevilla, Spain
  • Volume
    3
  • Issue
    2
  • fYear
    2012
  • fDate
    6/1/2012 12:00:00 AM
  • Firstpage
    986
  • Lastpage
    995
  • Abstract
    In the upcoming smart grid environment many more measurements will be available, which can be locally processed by the so-called substation state estimator (SSE). Distribution substations serve energy to a large set of feeders, each one delivering power to a certain number of secondary transformers. In this context, the SSE may have to deal with a huge network model, comprising several hundred or even thousand buses. Taking advantage of the weak electrical coupling existing among the set of feeders connected to the same or adjacent substations, a two-stage procedure is proposed in this paper to efficiently solve the SSE. In the first stage the overall SE is decomposed into f + s WLS subproblems (f and s being the total number of feeders and substations, respectively), which are then solved in a decoupled manner. The second stage, involving a linear WLS problem, consists of coordinating the solution provided by each subsystem (feeder or substation). The proposed solution scheme has a number of advantages, as shown by the case studies.
  • Keywords
    distribution networks; power system simulation; power system state estimation; smart power grids; WLS subproblems; decoupled manner; electrical coupling; huge network model; secondary transformers; smart distribution substations; smart grid environment; state estimation; substation state estimator; two-stage procedure; Couplings; Covariance matrix; Measurement uncertainty; Smart grids; State estimation; Substations; Vectors; Intelligent electronic devices; smart grids; substation state estimation; two-stage state estimation;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2189140
  • Filename
    6184355