Enhanced Weather Modelling for Dynamic Line Rating
SP Energy Networks
SP Energy Networks Innovation
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Innovation Funding Incentive
Comms & IT
This project makes use of an advanced spatial/temporal model developed within the Electronic and Electrical Engineering Department at Strathclyde University over the last 5 years. The model will use hourly meteorological data from 14 sites across the UK and will be extended and applied to the estimation of wind speed and directions in the vicinity of key overhead line spans for the purpose of calculating real-time, dynamic overhead line ratings to facilitate greater transfer of available wind power. Spatial interpolation techniques will be applied to provide forecasts at regular intervals along the overhead line. The model will also be applied to air temperature forecasting as it is the combination of wind speed and air temperature that determines overhead line cooling and subsequent maximum current carrying capacity.
Develop a forecasting capability for dynamic overhead line rating using weather data at multiple sites. Develop an estimation of the uncertainty associated with a forecast.