Dynamic network rating for low carbon distribution network operation

Yang, J. , Bai, Z., Strickland, D., Jenkins, L. and Cross, A. M. (2015) Dynamic network rating for low carbon distribution network operation. IEEE Transactions on Smart Grid, 6(2), pp. 988-998. (doi: 10.1109/TSG.2015.2389711)

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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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yang, Dr Jin
Authors: Yang, J., Bai, Z., Strickland, D., Jenkins, L., and Cross, A. M.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Transactions on Smart Grid
Publisher:IEEE
ISSN:1949-3053
ISSN (Online):1949-3061
Published Online:26 January 2015

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