DNR for LC DNO.pdf (2.28 MB)
Dynamic network rating for low carbon distribution network operation - A U.K. application
journal contribution
posted on 2017-09-28, 08:58 authored by Jin Yang, Xuefeng Bai, Dani StricklandDani 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 GridVolume
6Issue
2Pages
988 - 998Citation
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
© IEEEVersion
- AM (Accepted Manuscript)
Publication date
2015-01-26Copyright date
2015Notes
© 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
1949-3053eISSN
1949-3061Publisher version
Language
- en