DocumentCode
35738
Title
Dynamic Network Rating for Low Carbon Distribution Network Operation—A U.K. Application
Author
Jin Yang ; Xuefeng Bai ; Strickland, Dani ; Jenkins, Lee ; Cross, Andrew M.
Author_Institution
Sch. of Eng. & Appl. Sci., Aston Univ., Birmingham, UK
Volume
6
Issue
2
fYear
2015
fDate
Mar-15
Firstpage
988
Lastpage
998
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.
Keywords
asset management; distribution networks; cables; dynamic asset rating; dynamic network rating; low carbon distribution network operation; overhead lines; transformers; voltage 11 kV; Conductors; Cooling; Load modeling; Oil insulation; Power cables; Power transformer insulation; Temperature measurement; Asset life management; distribution network; dynamic asset rating (DAR); dynamic network rating (DNR); low carbon network operation;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2015.2389711
Filename
7021894
Link To Document