Title :
Times-series modelling for the aggregate Great Britain wind output circa 2030
Author :
Sturt, A. ; Strbac, Goran
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
Abstract :
The authors present a four-season model representing the aggregate output of a possible British wind fleet circa 2030, suitable for providing synthetic wind time series or a statistical characterisation of the transitional behaviour at timescales of 1 h and above. The model is fitted to an aggregated power output time series derived from historic onshore anemometry data and shown to provide a good fit to both long-term and transitional statistics. The authors show that the use of a constant factor to extrapolate anemometer-height wind speeds to hub height leads to an excessive diurnal variation in the implied wind power output. They adjust the model parameters to compensate for this and to account for the offshore component that is not present in the raw data. The complete parameter set is presented.
Keywords :
anemometry; offshore installations; statistical analysis; time series; wind power plants; British wind fleet circa 2030; Great Britain wind output circa 2030; aggregated power output; anemometer-height wind speeds; four-season model; historic onshore anemometry data; hub height; long-term statistics; offshore component; statistical characterisation; synthetic wind time series; times-series modelling; transitional behaviour; transitional statistics; wind power output;
Journal_Title :
Renewable Power Generation, IET
DOI :
10.1049/iet-rpg.2012.0040