Uncovering wind turbine properties through two-dimensional stochastic modeling of wind dynamics.
Using a method for stochastic data analysis borrowed from statistical physics, we analyze synthetic data from a Markov chain model that reproduces measurements of wind speed and power production in a wind park in Portugal. We show that our analysis retrieves indeed the power performance curve, which yields the relationship between wind speed and power production, and we discuss how this procedure can be extended for extracting unknown functional relationships between pairs of physical variables in general. We also show how specific features, such as the rated speed of the wind turbine or the descriptive wind speed statistics, can be related to the equations describing the evolution of power production and wind speed at single wind turbines.
Center for Theoretical and Computational Physics, University of Lisbon, Avenida Professor Gama Pinto 2, 1649-003 Lisbon, Portugal and Center for Geophysics, IDL, University of Lisbon, 1749-016 Lisbon, Portugal.
Frank
F
Raischel
Teresa
T
Scholz
Vitor V
VV
Lopes
Pedro G
PG
Lind