• DocumentCode
    41442
  • Title

    An Overlapping Zone-Based State Estimation Method for Distribution Systems

  • Author

    Nusrat, Nazia ; Lopatka, Piotr ; Irving, Malcolm R. ; Taylor, Gareth A. ; Salvini, Stef ; Wallom, David C. H.

  • Author_Institution
    Brunel Univ., Uxbridge, UK
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    2126
  • Lastpage
    2133
  • Abstract
    The development of state estimation (SE) tools for distribution networks is receiving increased attention as the traditionally passive distribution systems have become far more active. The high dimensionality of a distribution system model may lead to very high computation times. This paper addresses these issues and proposes an SE algorithm that analyzes a network which has been split into overlapping zones, enabling parallel application of the algorithm. The algorithm is developed to provide compatibility with distribution system requirements. The novelty of the algorithm lies in its capability to generate feasible solutions for the voltage estimation with a much smaller number of real measurements. The proposed algorithm is referred to as an overlapping zone approach, and has been tested on 356 and 711 node networks.
  • Keywords
    distribution networks; state estimation; 356 node networks; 711 node networks; SE algorithm; distribution networks; distribution system; distribution systems; overlapping zone approach; overlapping zone-based state estimation method; overlapping zones; passive distribution systems; power system state estimation; state estimation development; voltage estimation; Convergence; Decision support systems; Estimation error; Optimization; Voltage measurement; Weight measurement; Hachtel's augmented matrix method; Hachtel???s augmented matrix method; overlapping zone; state estimation (SE); zonal interaction;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2393361
  • Filename
    7027183