Dynamic line rating forecastability for conservative day-ahead line rating values

Sanna Uski

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)

Abstract

Dynamic line ratings (DLR) can increase power transmission capacity of power lines. The use of DLR becomes effective, if DLR is possible to be known beforehand, e.g., a dayahead for the different hours of the following day. Power line ampacity, and thus DLR, is dependent on weather conditions, mainly wind and temperature-in this order of significance. Thus, DLR can be forecasted based on weather forecasts. Temperature, being less variable and more predictable than wind, is used as the only weather variable for DLR forecasting in the method and data analysis presented in this paper. Temperature measurement and forecast data within a crossborder connection area between Finland and Sweden are analyzed for DLR application and DLR forecastability. The presented approach is proven to be sufficient for conservative and high-reliability demanding DLR forecasts, still enabling even significant increase in line ratings most of the time compared to the static line ratings.
Original languageEnglish
Title of host publicationIndustrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages3738-3742
ISBN (Electronic)978-1-4799-1762-4, 978-1-4799-1761-7
DOIs
Publication statusPublished - 28 Jan 2016
MoE publication typeA4 Article in a conference publication
Event41st Annual Conference of the IEEE Industrial Electronics Society - Yokohama, Japan
Duration: 9 Nov 201512 Nov 2015
Conference number: 41

Conference

Conference41st Annual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryJapan
CityYokohama
Period9/11/1512/11/15

Keywords

  • ampacity
  • Dynamic Line Rating (DLR)
  • forecasting
  • temperature
  • transmission line

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