Weather forecasting to predict practical dynamic asset rating of overhead lines

L.M. Chittock, D. Strickland, C. Harrap

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper describes the potential of pre-setting 11kV overhead line ratings over a time period of sufficient length to be useful to the real-time management of overhead lines. This forecast is based on short and long term freely available weather forecasts and is used to help investigate the potential for realising dynamic rating benefits on the electricity network. A comparison between the realisable benefits in ratings using this forecast data, over the period of a year has been undertaken.

Original languageEnglish
Title of host publicationIET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015
PublisherIET
ISBN (Print)978-1-78561-133-9
Publication statusPublished - 2015
EventIET International Conference on Resilience of Transmission and Distribution Networks - Birmingham, United Kingdom
Duration: 22 Sept 201524 Sept 2015

Publication series

NameIET Conference Publications
PublisherIET

Conference

ConferenceIET International Conference on Resilience of Transmission and Distribution Networks
Abbreviated titleRTDN 2015
Country/TerritoryUnited Kingdom
CityBirmingham
Period22/09/1524/09/15

Keywords

  • Distribution network operation
  • Dynamic asset rating
  • Low carbon network
  • Overhead lines
  • Real time thermal rating
  • Thermal modelling

Fingerprint

Dive into the research topics of 'Weather forecasting to predict practical dynamic asset rating of overhead lines'. Together they form a unique fingerprint.
  • Application of automatic load transfer on feeder utilisation balance

    Bai, X., Strickland, D. & Harrap, C., 2015, IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015. IET, p. 16-21 6 p. (IET Conference Publications).

    Research output: Chapter in Book/Published conference outputConference publication

  • Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

    Yang, J., Chittock, L., Strickland, D. & Harrap, C., 2015, IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015. IET, (IET Conference Publications).

    Research output: Chapter in Book/Published conference outputConference publication

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