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Probabilistic Computation of Wind Farm Power Generation Based on Wind Turbine Dynamic Modeling

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4 Author(s)
Bayem, H. ; Dept. of Power & Energy Syst., SUPELEC, Paris ; Phulpin, Y. ; Dessante, P. ; Bect, J.

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.

Published in:

Probabilistic Methods Applied to Power Systems, 2008. PMAPS '08. Proceedings of the 10th International Conference on

Date of Conference:

25-29 May 2008