Equivalent power curve model of a wind farm based on field measurement data

2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011

Volumn , Issue , 2011, Pages

  Hayes, Barry P ^a   Ilie, Irinel Sorin ^a   Porpodas, Antonios ^b   Djokic, Sasa Z ^a   Chicco, Gianfranco ^c  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b Community Windpower Limited ^*  (United Kingdom)

^c POLITECNICO DI TORINO   (Italy)

Author keywords

Distributed power generation; power curve; steady state power system analysis and modelling; wind farm; wind turbine; wind based power and energy generation

Indexed keywords

ANNUAL ENERGY PRODUCTIONS; ENERGY GENERATIONS; EQUIVALENT MODEL; FIELD MEASUREMENT DATA; GENERAL APPROACH; MEASUREMENT DATA; POWER CURVES; STEADY STATE PERFORMANCE; STEADY-STATE MODELS; STEADY-STATE POWER; SUPPORT VECTOR CLUSTERING; WIND FARM;

DISTRIBUTED POWER GENERATION; ELECTRIC UTILITIES; MEASUREMENTS; SUSTAINABLE DEVELOPMENT; SYSTEMS ANALYSIS; WIND POWER; WIND TURBINES;

FARMS;

EID: 80053355122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2011.6019318     Document Type: Conference Paper

References (14)

1. Wind turbine power performance testing. European Standard EN61400- 12-1.2006.
2. T. Boehme, A.R. Wallace and G. P. Harrison, "Applying time series to power flow analysis in networks with high wind penetration," IEEE Trans. on Power Systems, vol. 22, pp. 951-957, 2007. (Pubitemid 47278355)
3. R. Karki, P. Hu and R. Billinton, "A simplified wind power generation model for reliability evaluation," IEEE Trans. on Energy Conversion, vol. 21, pp. 533-540, 2007.
4. K. Kaiser, W. Langreder, H. Hohlen and J. Hojstrup, "Turbulence correction for power curves", Wind Energy, pp 159-162, Springer Berlin Heidelberg, 2007.
5. H. Holttinen, "Hourly wind power variations and their impact on the Nordic power system operation," Licentiate Thesis, Helsinki University of Technology, 2003.
6. CIGRÉ Technical Brochure 328, "Modelling and dynamic behaviour of wind generation as it relates to power system control and dynamic performance," Tech. Rep. CIGRÉ. WG C4.601, August 2007.
7. J.G. Slootweg and W.L. Kling, "Modeling of large wind farms in power system simulations", Proc. IEEE PES Summer Meeting, Chicago, USA, vol. 1, pp. 503-508, July 2002.
8. J. Usaola, P. Ledesma, J.M. Rodrigues, J.L. Fernandez, D. Beato, R. Iturbe, and J.R. Wilhelmi, "Transient stability studies in grids with great wind power penetration. Modelling issues and operation requirements", Proc. IEEE PES General Meeting, vol. 3, pp. 1534-1541, July 2003.
9. V. A. Nunes, J.A. Peças Lopes, H.H. Zurn, U.H. Bezerra and R.G. Almeida, "Influence of the variable-speed wind generators in transient stability margin of the conventional generators integrated in electrical grids", IEEE Trans. on Energy Conversion, vol. 19 (4), pp. 692-701, December 2004.
10. K. Rudion, "Aggregated Modelling of Wind Farms", Doctoral Thesis, Otto-von-Guericke-Universitat Magdeburg, Germany, 2008.
11. M. Ali, I.-S. Ilie, J.V. Milanovic and G. Chicco, "Probabilistic clustering of wind generations", Proc. IEEE PES General Meeting, pp. 1-6, 2010.
12. A. Ben Hur, D. Horn, H.T. Siegelmann, and V. Vapnik, "Support Vector Clustering," Journal of Machine Learning Research, vol. 2, pp. 125-137, 2001.
13. G. Chicco and I.-S. Ilie, "Support vector clustering of electrical load pattern data", IEEE Trans. on Power Systems, vol. 24, no. 3, pp. 1619-1628, 2009.
14. thElectrotechnical IEEE Conference MELECON, pp. 520-526, 2008.