• DocumentCode
    35738
  • Title

    Dynamic Network Rating for Low Carbon Distribution Network Operation—A U.K. Application

  • Author

    Jin Yang ; Xuefeng Bai ; Strickland, Dani ; Jenkins, Lee ; Cross, Andrew M.

  • Author_Institution
    Sch. of Eng. & Appl. Sci., Aston Univ., Birmingham, UK
  • Volume
    6
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    988
  • Lastpage
    998
  • Abstract
    Dynamic asset rating (DAR) is one of the number of techniques that could be used to facilitate low carbon electricity network operation. Previous work has looked at this technique from an asset perspective. This paper focuses, instead, from a network perspective by proposing a dynamic network rating (DNR) approach. The models available for use with DAR are discussed and compared using measured load and weather data from a trial network area within Milton Keynes in the central area of the U.K. This paper then uses the most appropriate model to investigate, through a network case study, the potential gains in dynamic rating compared to static rating for the different network assets-transformers, overhead lines, and cables. This will inform the network operator of the potential DNR gains on an 11-kV network with all assets present and highlight the limiting assets within each season.
  • Keywords
    asset management; distribution networks; cables; dynamic asset rating; dynamic network rating; low carbon distribution network operation; overhead lines; transformers; voltage 11 kV; Conductors; Cooling; Load modeling; Oil insulation; Power cables; Power transformer insulation; Temperature measurement; Asset life management; distribution network; dynamic asset rating (DAR); dynamic network rating (DNR); low carbon network operation;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2389711
  • Filename
    7021894