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Conference papers
Probabilistic computation of wind farm power generation based on wind turbine dynamic modeling
Abstract : This paper addresses the problem of predicting a wind farm's power generation when no or few statistical data is available. The study is based on a time-series wind speed model and on a simple dynamic model of a DFIG wind turbine including cut-off and cut-in behaviours. The wind turbine is modeled as a stochastic hybrid system with three operation modes. Numerical results, obtained using Monte-Carlo simulations, provide the annual distribution of a wind farm's active power generation. For different numbers of wind turbines, we compare the numerical results obtained using the dynamic model with those obtained considering the wind turbine's steady-state power curve. Simulations show that the wind turbine's dynamics do not need to be considered for analyzing the annual distribution of a wind farm generation.
Cited literature [17 references]
https://hal-supelec.archives-ouvertes.fr/hal-00215958
Contributor : Julien Bect <>
Submitted on : Sunday, April 13, 2008 - 7:00:53 PM
Last modification on : Tuesday, June 30, 2020 - 4:04:07 PM
Document(s) archivé(s) le : Thursday, September 23, 2010 - 4:41:38 PM
Contributor : Julien Bect <>
Submitted on : Sunday, April 13, 2008 - 7:00:53 PM
Last modification on : Tuesday, June 30, 2020 - 4:04:07 PM
Document(s) archivé(s) le : Thursday, September 23, 2010 - 4:41:38 PM
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