Spatially correlated wind speed modelling for generation adequacy studies in the UK

2007 IEEE Power Engineering Society General Meeting, PES

Volumn , Issue , 2007, Pages

  Miranda, Marcos S ^a,b   Dunn, Rod W ^a,b  

^a IEEE

^b University of Bath   (United Kingdom)

Author keywords

Adequacy studies; Monte Carlo simulation; Statistical methods; Wind energy; Wind modelling

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; SECURITY SYSTEMS; STRATEGIC PLANNING;

ADEQUACY STUDIES; POWER SYSTEMS; WIND MODELLING; WIND POWER PLANTS;

WIND POWER;

EID: 42549086105     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2007.386268     Document Type: Conference Paper

References (15)

1. Dusko Nedic, Anser Shakoor, Goran Strbac, Mary Black, Jim Watson and Catherine Mitchell. Security assessment of future UK electricity scenarios. Report 30, Tyndall Centre for Climate Change Research, July 2005.
2. GB Seven Year Statement, National Grid Company PLC, May 2005. Available online at: http://www.nationalgrid.com/uk/library/documents/sys05/default.asp.
3. System Identification Toolbox Manual, The Mathworks, 2006. Available online at: http://www.mathworks.com/access/helpdesk/help/toolbox/ident.
4. Wind profile power law, Wikipedia, 2006. Available online at: http://en.wikipedia.org/wiki/Wind_profile_power_law.
5. Vestas V90 (3MW) Wind Turbine Brochure, Vestas Wind Systems A/S. Available online at: http://www.vestas.com/uk/Products/v90/v90_UK.asp.
6. OpenBUGS project website, http://mathstat.helsinki.fi/openbugs, November, 2005.
7. G. Kariniotakis, P. Pinson, N. Siebert, G. Giebel, and R. Bartelmie, "The State of the Art in Short-term Prediction of Wind Power - From an Offshore Perspective", Symposium ADEME, IFREMER, "Renewable energies at sea", Brest, France, 2004. [Online]. Available: http://anemos.cma.fr/ download/publications/pub_2004_paper_SeaTechWeek04_SOTA.pdf, November, 2005.
8. L. Landberg, Short-term prediction of the power production from wind farms. Journal of Wind Engineering and Industrial Aerodynamics, vol. 80, pp. 207-220, 1999.
9. U. Focken, M. Lange, D. Heinemann, and H. P. Waldl, Previento -Regional Wind Power Prediction with Risk Control, Proceedings of the Global Windpower Conference, 2.-5.4.2002, Paris, France, 2002.
10. I. G. Damousis, M. C. Alexiadis, J. B. Theocharis, and P. S. Dokopoulosy. A Fuzzy Model for Wind Speed Prediction and Power Generation in Wind Parks Using Spatial Correlation. IEEE Transactions on Energy Conversion, Vol. 19, No. 2, June 2004
11. T. G. Barbounis, J. B. Theocharis, M. C. Alexiadis, and P. S. Dokopoulos. Long-Term Wind Speed and Power Forecasting Using Local Recurrent Neural Network Models. IEEE Transactions on Energy Conversion, to be published.
12. M. Milligan, M. Schwartz, Y.-H. Wan, Statistical Wind Power Forecasting Models: Results for U.S. Wind Farms. Windpower 2003 Conference, Austin, Texas, 2003.
13. P. Congdon, Bayesian Statistical Modelling. Chichester: Wiley, 2001, p. 556.
14. M. West and P.J. Harrison, Bayesian Forecasting and Dynamic Models. New York, Sprinter-Verlag, 1997 (2nd ed.), p. 680.
15. Danish Wind Industry Association (DWIA), Guided Tour on Wind Energy, http://www.windpower.org/en/tour/wres/weibull.htm, November, 2005.