DocumentCode :
2344025
Title :
Wind-solar resource complementarity and its combined correlation with electricity load demand
Author :
Li, Yi ; Agelidis, Vassilios G. ; Shrivastava, Yash
Author_Institution :
Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
3623
Lastpage :
3628
Abstract :
The paper presents analysis of wind and solar data for the same geographical location. The wind speed data taken at ground level are calibrated to evaluate the resource available for a large wind turbine with a hub height of approximate 80 m. The correlation of each resource data against the electricity load demand for an entire year is then calculated separately and selected results are documented. The combined availability of wind and solar source against the same electricity demand and the respective correlation are also studied confirming that there is a strong complementarity between the two resources although such level of complementarity depends profoundly upon the location. It is shown that a combined resource can effectively deliver energy to the electricity grid when load demand experiences peaks, hence strengthening the case for further integration of wind and solar sources with the electricity grid. The study used actual weather data reported for the Sydney Airport and electricity load for New South Wales, Australia.
Keywords :
correlation methods; load forecasting; power grids; solar power stations; wind power plants; wind turbines; correlation fucntion; electricity grid; electricity load demand; resource forecasting; solar energy; wind speed data; wind turbine; Australia; Availability; Photovoltaic systems; Power grids; Solar power generation; Wind energy; Wind energy generation; Wind farms; Wind speed; Wind turbines; correlation; correlation coefficient; correlation fucntion; electricity load demand; resource assessment; solar energy; wind energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138882
Filename :
5138882
Link To Document :
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