Dynamic network rating for low carbon distribution network operation: a U.K. application

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

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number7021894
Pages (from-to)988-998
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume6
Issue number2
DOIs
Publication statusPublished - 26 Jan 2015

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Bibliographical note

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Funding: Falcon Project (industrial sponsor)

Keywords

  • asset life management
  • distribution network
  • dynamic asset rating (DAR)
  • dynamic network rating (DNR)
  • low carbon network operation

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