US 12,297,811 B2
System and method to maximize power production by wind turbines
Stefano Leonardi, Richardson, TX (US); Mario Rotea, Allen, TX (US); Umberto Ciri, Dallas, TX (US); and Federico Bernardoni, Dallas, TX (US)
Assigned to Board of Regents, The University of Texas System, Austin, TX (US)
Filed by Board of Regents, The University of Texas System, Austin, TX (US)
Filed on Jun. 24, 2022, as Appl. No. 17/808,700.
Claims priority of provisional application 63/214,675, filed on Jun. 24, 2021.
Prior Publication US 2022/0412307 A1, Dec. 29, 2022
Int. Cl. F03D 7/02 (2006.01); F03D 7/04 (2006.01); H02J 3/38 (2006.01)
CPC F03D 7/028 (2013.01) [F03D 7/048 (2013.01); H02J 3/381 (2013.01); F05B 2270/1033 (2013.01); F05B 2270/321 (2013.01); H02J 2300/28 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method to control wind turbines in real-time, the method comprising:
receiving, in real-time, power production signals from wind turbines in a wind farm;
computing correlations of the power production signals among all pairs of wind turbines in the wind farm, wherein each pair of wind turbines with a power production correlation above a specified threshold at an expected time is considered to have wake interaction;
calculating a probability density function of northing directions of the pairs of wind turbines with wake interaction;
determining whether the probability density function has a dominant direction;
responsive to the probability density function having a dominant direction, identifying the pairs of wind turbines with wake interaction as turbine clusters; and
misaligning a yaw of or derating, in real-time at each turbine cluster of the turbine clusters, an upstream turbine in the turbine cluster.