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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26706

Title: Dynamic network rating for low carbon distribution network operation - A U.K. application
Authors: Yang, Jin
Bai, Xuefeng
Strickland, Dani
Jenkins, Lee
Cross, Andrew M.
Keywords: Asset life management
Distribution network
Dynamic asset rating (DAR)
Dynamic network rating (DNR)
Low carbon network operation
Issue Date: 2015
Publisher: © IEEE
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.
Abstract: © 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.
Description: © 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.
Version: Accepted for publication
DOI: 10.1109/TSG.2015.2389711
URI: https://dspace.lboro.ac.uk/2134/26706
Publisher Link: https://doi.org/10.1109/TSG.2015.2389711
ISSN: 1949-3053
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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