Turbulence intensity estimation

Patent metadata

Field	Value
Publication number	US-11761425-B2
Application number	US-202117165302-A
Country	US
Kind code	B2
Filing date	Feb 2, 2021
Priority date	Feb 3, 2020
Publication date	Sep 19, 2023
Grant date	Sep 19, 2023

Abstract

A method to operate a wind turbine is provided, the method including determining a correction model associated with the wind turbine, determining a corrected turbulence intensity parameter associated with the wind turbine based on the correction model, and operating the wind turbine based on the corrected turbulence intensity parameter.

First claim

What is claimed is:

1. A method to operate a wind turbine having a rotor with a plurality of blades connected thereto, the rotor connected to a generator, the method comprising:
determining a correction model associated with the wind turbine;
determining a corrected turbulence intensity parameter associated with the wind turbine based on the correction model and a first plurality of wind data corresponding to a received rotor effective wind speed data;
operating the wind turbine based on the corrected turbulence intensity parameter; and
wherein the received rotor effective wind speed is a spatial average of a wind field over an entire plane of the rotor and is determined by a model-based controller based on power output of the generator, rotor speed, and pitch of the blades.

2. The method according to claim 1 , wherein determining the correction model comprises:
receiving a second plurality of wind data;
processing the first and the second plurality of wind data to determine a first and a second set of estimates respectively, each set of estimates including at least one of: a normalized plurality of wind data, a power spectral density of the plurality of wind data, a turbulence intensity parameter, or a turbulence length scale parameter; and
calibrating the correction model based at least on one from the first set of estimates and at least one from the second set of estimates.

3. The method according to claim 2 , wherein the second plurality of wind data comprise wind speeds obtained from at least one of: a meteorological mast, a set of aeroelastic simulations, or a set of measurements associated with a test wind turbine.

4. The method according to claim 2 , wherein determining the corrected turbulence intensity comprises:
receiving a third plurality of wind data; and
processing the third plurality of wind data to determine a third set of estimates, the third set of estimates including an uncorrected turbulence intensity parameter, and at least one of: a normalised plurality of wind data, a power spectrum, and a turbulence length scale parameter.

5. The method according to claim 4 , wherein the third plurality of wind data are wind speeds associated with the wind turbine and comprise at least one of: rotor averaged wind speeds, nacelle anemometer wind speeds, SODAR based wind speeds, and LIDAR based wind speeds.

6. The method according to claim 1 , wherein operating the wind turbine based on the corrected turbulence intensity comprises determining an operational parameter of the wind turbine based on the corrected turbulence parameter.

7. The method according to claim 1 , wherein the correction model comprises at least one of: a scaling model, a linear regression model, a non-linear regression model, or a non-parametric regression model; or wherein determining the corrected turbulence intensity parameter is performed recursively at a regular time interval of between 5 minutes and 30 minutes.

8. The method according to claim 4 , further comprising calibrating a site correction model based on at least the second plurality of wind data and the corrected turbulence intensity parameter.

9. A wind turbine including at least two rotor blades and a model-based controller configured for determining rotor averaged wind speed, wherein the controller is configured to operate the wind turbine according to claim 1 .

10. A wind farm comprising at least one wind turbine and a wind farm controller, the wind farm controller comprising a processor configured to perform the method according to claim 1 .

11. A system for operating a wind turbine, the system comprising a processor configured to perform the method according to claim 1 .

12. A method to operate a wind turbine, the method comprising:
determining a correction model associated with the wind turbine;
determining a corrected turbulence intensity parameter associated with the wind turbine based on the correction model;
operating the wind turbine based on the corrected turbulence intensity parameter;
wherein determining the correction model comprises:
receiving a first and a second plurality of wind data;
processing the first and the second plurality of wind data to determine a first and a second set of estimates respectively, each set of estimates including at least one of: a normalized plurality of wind data, a power spectral density of the plurality of wind data, a turbulence intensity parameter, or a turbulence length scale parameter; and
calibrating the correction model based at least on one from the first set of estimates and at least one from the second set of estimates;

wherein determining the corrected turbulence intensity comprises:
receiving a third plurality of wind data; and
processing the third plurality of wind data to determine a third set of estimates, the third set of estimates including an uncorrected turbulence intensity parameter, and at least one of: a normalised plurality of wind data, a power spectrum, and a turbulence length scale parameter;

calibrating a site correction model based on at least the second plurality of wind data and the corrected turbulence intensity parameter; and
determining an adjusted turbulence intensity parameter based on a fourth plurality of wind data and the site correction model.

13. The method according to claim 12 , further comprising siting a new wind turbine based on the adjusted turbulence intensity parameter.

14. The method according to claim 12 , wherein the fourth plurality of wind data comprises wind speeds obtained from a meteorological mast that is at a site different from a site associated with a second plurality of wind data.

Assignees

• General Electric Renovables Espana Sl

Inventors

• Davoust Samuel
• Kandasamy Srinivas
• Bhat Sanketh

Classifications

• F03D7/045 Primary

  with model-based controls · CPC title

• F03D17/00 Primary

  Monitoring or testing of wind motors, e.g. diagnostics (testing during commissioning of wind motors F03D13/30) · CPC title

• F05B2260/84

  Modelling or simulation · CPC title

• F05B2270/32

  Wind speeds · CPC title

• Y02E10/72

  Wind turbines with rotation axis in wind direction · CPC title