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Dynamic Line Rating Forecasting

This special issue belongs to the section “Energy Science and Technology“.

Special Issue Information

Dear Colleagues,

Dynamic Line rating (DLR) is one key element to unlock power line ratings and increase grid flexibility today. Up to 30% or more power above the traditional static ratings may be available on existing power lines, and some sensors can actually increase system awareness through real-time measurements. But this technology can only be effectively implemented if proper forecasting is carried out. Today, forecasting of Dynamic Line Rating up to two days in advance can be properly estimated using appropriate tools. Using those forecasts can optimize the overall efficiency of the network utilization while guaranteeing security and safety, and it can be critical to solve several utilities' issues in congested networks. Forecasting of Dynamic Line Rating can also be used to significantly increase the market welfare by increasing e.g. cross-border lines capacity ; it can also help accelerate renewables integration, and thus the transition to a carbon-neutral society, by providing more overhead line capacity to the network and by avoiding connection delays. However, those applications need a reliable forecasting of dynamic line ratings to be successfully and efficiently carried out.
As DLR depends on weather conditions, forecasting beyond a few hours usually entails meteorological forecasting as well, and appropriate correlations with on-site measurements to avoid any risky congestions. Moreover, these tools have to be integrated in the SCADA system of TSOs (transmission system operators). 
DLR Forecasting is now a mature technology and is already in use worldwide. Many specific tools have been developed for DLR forecasting. This issue is devoted to the presentation of these new tools.
 

Prof. Jean Louis Lilien
Dr. Huu-Minh Nguyen
Guest Editors

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Keywords

  • dynamic line rating (aerial power line and underground cable)
  • forecasting of dynamic line rating (day(s) ahead, hours ahead)
  • meteorological forecasting of wind production (low wind and high wind)
  • financial impact of appropriate day ahead forecasting of dynamic line rating
  • practical applications by system operators would be particularly welcome. New trends in R&D in that field are also very welcome

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Appl. Sci. - ISSN 2076-3417
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