Evaluating archimedean copula models of wind speed for wind power modeling

IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources, PowerAfrica 2012

Volumn , Issue , 2012, Pages

  Louie, H ^a  

^a SEATTLE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARCHIMEDEAN COPULA; DEPENDENCE STRUCTURES; JOINT DISTRIBUTION FUNCTIONS; METHOD OF MODELING; NATIONAL RENEWABLE ENERGY LABORATORY; RANK CORRELATION; RANK CORRELATION COEFFICIENT; WIND POWER MODELING;

COMPUTER SIMULATION; DATA PROCESSING; DISTRIBUTION FUNCTIONS; STATISTICS; WIND POWER;

WIND EFFECTS;

EID: 84877284522     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PowerAfrica.2012.6498610     Document Type: Conference Paper

References (12)

1. GE Energy, "Western wind and solar integration study," NREL, Golden, CO, USA, Tech. Rep. NREL/SR-550-47434, 2010.
2. EnerNex Corporation, "Eastern wind integration and transmission study," NREL, Golden, CO, USA, Tech. Rep. NREL/SR-5500-47078, 2011.
3. H. Holttinen and et al, "Design and operation of power systems with large amounts of wind power," Final Report of IEA Task 25, VTT Research Notes 2493, 2009.
4. G. Papaefthymiou and D. Kurowicka, "Using copulas for modeling stochastic dependence in power system uncertainty analysis," IEEE Trans. Power Systems, vol. 24, no. 1, pp. 40-49, 2009.
5. S. Hagspiel, A. Papaemannouil, M. Schmid, and G. Andersson, "Copula-based modeling of stochastic wind power in Europe and implications to the Swiss power grid," in press, doi: http://dx.doi.org/10.1016/j. apenergy.2011.10.039, 2011.
6. H. Louie, "Evaluation of probabilistic models of wind plant power output characteristics," in Proc. Probablistic Methods Applied to Power Systems, Singapore, Jun. 2010.
7. R. Nelsen, An introduction to Copulas, 2nd ed. New York, NY: Springer, 2006.
8. H. Joe, Multivariate Models and Dependence Concepts. London, UK: Chapman and Hall/CRC, 1997.
9. C. Genest and L. Rivest, "Statistical inference procedures for bivariate archimedean copulas," Journal of American Statistical Association, vol. 88, no. 423, pp. 1034-1043, Sep. 1993.
10. M. Brower, "Development of eastern regional wind resource and wind plant output datasets," NREL, Golden, CO, Tech. Rep. NREL/SR-550-46764, Dec. 2009.
11. B. Hasche, "General statistics of geographically dispersed wind power," Wind Energy, vol. 13, pp. 773-784, 2010.
12. A. Genz, "Numerical computation of rectangular bivariate and trivariate normal and t probabilities," Statistics and Computing, vol. 3, no. 14, pp. 251-260, 2004. (Pubitemid 39046712)