Application of statistical wind models for system impacts

Proceedings of the Universities Power Engineering Conference

Volumn , Issue , 2009, Pages

  Hill, D ^a   McMillan, D ^a   Bell, K ^a   Infield, D ^a   Ault, G W ^a  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

Author keywords

ARMA modelling; Vector auto regression; Wind power synthesis; Windspeed prediction

Indexed keywords

ANNUAL TRENDS; ARMA MODELLING; AUTO-REGRESSIVE; AUTO-REGRESSIVE MOVING AVERAGE MODEL; ELECTRICITY SUPPLY; GRID OPERATION; INCENTIVE MECHANISM; MEDIUM TERM; NON-STATIONARITIES; POWER SYSTEMS; RENEWABLE ELECTRICITY; SPATIOTEMPORAL CORRELATION; STATISTICAL MODELS; SYNTHESIS PROCEDURE; SYSTEM IMPACT; TIME DOMAIN MODELING; TIME-SCALES; WIND MODELS; WIND PENETRATION;

ELECTRIC POWER SYSTEMS; SIGNAL ENCODING; WIND POWER;

SYNTHESIS (CHEMICAL);

EID: 77951752848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. G. Sinden, "Characteristics of the UK wind resource: Long term patterns and relationship with electricity demand", Energy Policy, n35, p112-127,2007.
2. SKM, "Grid issues arising from changes to the generation background in Scotland," Technical Studies Report, Nov. 2008.
3. J. Oswald, M. Raine and H. Ashraf-Ball "Will British weather provide reliable electricity?', Energy Policy, n36, p3212-3225, 2008.
4. G. Strbac, A. Shakoora, M. Black, D. Pudjianto and T. Bopp, "Impact of wind generation on the operation and development of the UK electricity systems," Electric Power Systems Research, vol. 77, no.9, pp.1214-1227, July 2007.
5. R. Billinton, H. Chen and R. Ghajar (1996) "Time-series models for reliability evaluation of power systems including wind energy", Microelectronics and Reliability, vol. 36 19, pp. 1253-1261 Sept. 1996.
6. S.J. Watson, L. Landberg, and J.A. Halliday, "Application of Wind Speed Forecasting to the Integration of Wind Energy into a Large Scale Power System," lEE Proc - Gener. Transm. Distrib., vol 141, No.4, July 1994.
7. M. Lei, L. Shiyan,J. Chuanwen, L. Hongling and Z. Van, "A review on the forecasting of wind speed and generated power," Renewable and Sustainable Energy Reviews (In Press).
8. G. Kariniotakis, I.H. Waldl, I. Marti, G. Giebel, T.S. Nielsen, J. Tambke, J. Usasola, F. Dierich, A. Bocquet, S. Virlot, "Next generation forecasting tools for the optimal management of wind generation," Probabilistic Methods Applied to Power Systems, International Conf on, PMAPS, June 2006.
9. M. Lange and U. Focken, "New developments in wind energy forecasting," Power and Energy Soc. General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008.
10. D.A. Smith and K.C. Mehta, "Investigation of stationary and nonstationary wind data using classical Box-Jenkins models," J. Wind Engineering and Industrial Aerodynamics, vol. 49, pp319-328, 1993.
11. G.E.P. Box and G.M. Jenkins, Time series analysis:Forecasting and control, Holden-Day, San Francisco, 1970.
12. C. Chatfield The Analysis of Time Series, an Introduction, 4th Edition, Chapman and Hall, 1989.
13. P.R.J. Campbell, "Short Term Wind Energy Forecasting", IEEE Canada Electrical Power Conference, pp342-346, 2007.
14. M.J. Duran, D. Cros and J. Riquelme, "Short-term wind power forecast based on ARX models." J. of Energy Engineering, vol. 133, No 3, Sept 2007.
15. M.S. Miranda, G. Shaddick, R.W. Dunn, F. Li and K.B. Bell, "Bayesian inferencing for wind resource characterization", Probabilistic Methods Applied to Power Systems, Int. Conf on, 2006.
16. rd ed., Wiley, 1998.
17. W.H. Hines and D.C. Montgomery, Probability and Statistics in Engineering and Management Science, Wiley, 1980.
18. rd Ed., Wiley, 1998.