Systems and methods for validating wind farm performance measurements

Patent metadata

Field	Value
Publication number	US-9644612-B2
Application number	US-201414493464-A
Country	US
Kind code	B2
Filing date	Sep 23, 2014
Priority date	Sep 23, 2014
Publication date	May 9, 2017
Grant date	May 9, 2017

Abstract

The present disclosure is directed to systems and methods for validating and/or identifying wind farm performance measurements so as to optimize wind farm performance. The method includes measuring operating data from one or more wind turbines of the farm. Another step includes generating a plurality of baseline models of performance of the wind farm from at least a portion of the operating data. Thus, each of the baseline models of performance is developed from a different portion of operating data so as to provide comparable models. The method also includes selecting an optimal baseline model and comparing the optimal baseline model with actual performance of the wind farm. In a particular embodiment, the actual performance of the wind farm is determined after one or more wind turbines of the wind farm is modified by one or more upgrades.

First claim

What is claimed is:

1. A method for validating one or more wind farm performance measurements produced by one or more upgrades, the method comprising:
measuring operating data, via one or more sensors, from one or more wind turbines of a wind farm;
generating, via a processor, a plurality of baseline models of performance of the wind farm from at least a portion of the operating data, wherein each of the baseline models of performance is developed from a different portion of operating data from one or more wind turbines of the wind farm;
selecting, via the processor, an optimal baseline model of performance from the plurality of baseline models; and,
comparing, via the processor, the optimal baseline model of performance and an actual performance of the wind farm, wherein the actual performance of the wind farm is determined after one or more wind turbines of the wind farm are modified by the one or more upgrades that have been installed for the one or more wind turbines of the wind farm, and wherein comparing the optimal baseline model of performance and the actual performance of the wind farm comprises determining a difference between an optimal baseline model of power output and an actual power output of the wind farm, wherein the difference is reflective of a change in the power output produced by the one or more upgrades.

2. The method of claim 1 , wherein the performance measurements comprise a power output of the wind farm.

3. The method of claim 1 , wherein generating the plurality of baseline models of performance of the wind farm from the operating data further comprises:
selecting one or more wind turbines for each of the baseline models;
selecting subsets of operating data relating to each of the selected wind turbines; and
creating each of the baseline models from the subsets of operating data.

4. The method of claim 3 , further comprising evaluating, via the processor, each of the baseline models of performance of the wind farm.

5. The method of claim 4 , wherein evaluating each of the baseline models further comprises comparing each of the baseline models to additional subsets of operating data relating to each of the selected wind turbines for each baseline model, wherein the additional subsets of operating data are not used in creating the baseline models.

6. The method of claim 3 , further comprising eliminating baseline models that contain the one or more wind turbines modified by the one or more upgrades.

7. The method of claim 1 , further comprising providing or withholding the one or more upgrades to or from the wind turbines of the wind farm in order to provide a basis of assessing farm performance at a desired accuracy.

8. The method of claim 1 , wherein the one or more upgrades comprise any one of or a combination of the following: rotor blade chord extensions, software upgrades, controls upgrades, hardware upgrades, wake controls, aerodynamic upgrades, blade tip extensions, vortex generators, winglets.

9. The method of claim 1 , further comprising generating baseline models of power output for a plurality of wind direction sectors.

10. The method of claim 1 , developing a long-term power distribution by transforming a pre-specified long-term wind speed distribution based on a reference power curve.

11. The method of claim 10 , further comprising determining an annual energy production (AEP) change of the wind farm in response to the one or more upgrades by integrating the change in power output produced by the one or more upgrades with respect to the long-term power distribution.

12. The method of claim 1 , wherein the one or more sensors comprise any one of or a combination of the following: accelerometers, pressure sensors, angle of attack sensors, vibration sensors, Miniature Inertial Measurement Units (MIMUs), camera systems, fiber optic systems, anemometers, wind vanes, Sonic Detection and Ranging (SODAR) sensors, infra lasers, Light Detecting and Ranging (LIDAR) sensors, radiometers, pitot tubes, rawinsondes.

13. A method for identifying one or more wind farm performance measurements, the method comprising:
measuring operating data, via one or more sensors, from one or more wind turbines of the wind farm;
generating, via a processor, a plurality of baseline models of power output of the wind farm from at least a portion of the operating data, wherein each of the baseline models is developed from a different portion of the operating data;
evaluating, via the processor, performance of each of the baseline models by comparing each baseline model to an actual power output of the wind farm;
selecting, via the processor, an optimal baseline model based on the evaluation; and
identifying, via the processor, one or more wind farm performance measurements of the wind farm based on the optimal baseline model, wherein the wind farm performance measurements are indicative of an error occurring in the wind farm.

14. The method of claim 13 , wherein generating the plurality of baseline models of power output of the wind farm from the operating data further comprises:
selecting one or more wind turbines for each of the baseline models;
selecting subsets of operating data relating to each of the selected wind turbines; and creating each of the baseline models from the subsets of operating data.

15. The method of claim 14 , wherein evaluating performance of each of the baseline models of power output further comprises comparing each of the baseline models to additional subsets of operating data relating to each of the selected wind turbines for each baseline model, wherein the additional subsets of operating data are not used in creating the baseline models.

16. The method of claim 13 , further comprising eliminating baseline models that contain selected wind turbines having one or more upgrades.

17. The method of claim 16 , wherein the one or more upgrades comprise any one of or a combination of the following: rotor blade chord extensions, software upgrades, controls upgrades, hardware upgrades, wake controls, aerodynamic upgrades, blade tip extensions, vortex generators, winglets.

18. The method of claim 17 , further comprising generating baseline models for a plurality of wind direction sectors.

19. A system for validating one or more wind farm performance measurements produced by one or more upgrades, the system comprising:
a plurality of sensors configured to measure operating data from one or more wind turbines in a wind farm; and
a controller configured to perform a plurality of operations, the plurality of operations comprising:
generating a plurality of baseline models of performance of the wind farm from at least a portion of the operating data, wherein each of the baseline models of performance is developed from a different portion of operating data from one or more wind turbines of the wind farm,
selecting an optimal baseline model of performance from the plurality of baseline models, and
comparing the optimal baseline model of performance and an actual performance of the wind farm, wherein the actual performance of the wind farm is determined after one or more wind turbines of the wind farm are modified by the one or more upgrades that have been installed for the one or more wind turbines of the wind farm, and wherein comparing the optimal baseline model of performance and the actual performance of the wind farm comprises determining a difference between an optimal baseline model of power output and an actual power output of the wind farm, wherein the difference is reflective of a change in the powe

Assignees

• Gen Electric

Inventors

• Evans Scott Charles
• Zhang Zhanpan
• Gregg Peter Alan
• Iyengar Satish G

Classifications

• H02J2103/30

  Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

• H02J2101/28

  Wind energy · CPC title

• F05D2270/335

  Output power or torque · CPC title

• F03D17/00 Primary

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

• F03D7/048

  controlling wind farms · CPC title