DNR for LC DNO.pdf (2.28 MB)

Dynamic network rating for low carbon distribution network operation - A U.K. application

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journal contribution
posted on 28.09.2017, 08:58 by Jin Yang, Xuefeng Bai, Dani Strickland, Lee Jenkins, Andrew Cross
© 2010-2012 IEEE. 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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Transactions on Smart Grid

Volume

6

Issue

2

Pages

988 - 998

Citation

YANG, J. ...et al., 2015. Dynamic network rating for low carbon distribution network operation - A U.K. application. IEEE Transactions on Smart Grid, 6(2), pp. 988-998.

Publisher

© IEEE

Version

AM (Accepted Manuscript)

Publication date

2015

Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISSN

1949-3053

Language

en

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