Determining tower top acceleration of a wind turbine

Patent metadata

Field	Value
Publication number	US-12345232-B2
Application number	US-202218568186-A
Country	US
Kind code	B2
Filing date	Jun 3, 2022
Priority date	Jun 8, 2021
Publication date	Jul 1, 2025
Grant date	Jul 1, 2025

Abstract

A method of determining tower top acceleration of a wind turbine is provided. The method includes receiving acceleration data from a plurality of acceleration sensors positioned in a nacelle of the wind turbine, including data indicative of a measured acceleration in a direction along at least one measurement axis of each respective acceleration sensor at a current time step. The method includes determining a predicted tower top acceleration of the wind turbine tower at the current time step, the predicted tower top acceleration being determined in dependence on a kinematic model of the wind turbine, and on a determined estimation of tower top acceleration at a previous time step. The method includes determining an estimated tower top acceleration of the wind turbine tower at the current time step by updating the predicted tower top acceleration based on the measured acceleration from each of the acceleration sensors.

First claim

The invention claimed is:

1. A method of determining tower top acceleration of a wind turbine, the wind turbine comprising a tower, a nacelle atop the tower, and a plurality of acceleration sensors located in the nacelle, the method comprising:
receiving acceleration data, from the plurality of acceleration sensors, including data indicative of a measured acceleration in a direction along at least one measurement axis of each respective acceleration sensor at a current time step;
determining a predicted tower top acceleration of the tower at the current time step, the predicted tower top acceleration being determined in dependence on a kinematic model of the wind turbine that is based on a position and orientation of each acceleration sensor relative to a point defined as a top of the tower, and the predicted tower top acceleration being determined in dependence on a determined estimation of tower top acceleration at a previous time step;
determining an estimated tower top acceleration of the wind turbine tower at the current time step by updating the predicted tower top acceleration based on the measured acceleration from each of the plurality of acceleration sensors; and
controlling the wind turbine based on the estimated tower top acceleration.

2. The method according to claim 1 , wherein the predicted and estimated tower top accelerations are determined according to a Kalman filter algorithm.

3. The method according to claim 1 , wherein the predicted and estimated tower top accelerations include linear accelerations of the tower in at least one linear direction.

4. The method according to claim 3 , wherein the at least one linear direction includes at least one of: a side/side direction of the wind turbine;
a fore/aft direction of the wind turbine; and, an up/down direction of the wind turbine.

5. The method according to claim 1 , wherein the predicted and estimated tower top accelerations include torsional accelerations of the tower in at least one torsional direction.

6. The method according to claim 1 , wherein each one of the plurality of acceleration sensors is a multi-axis accelerometer configured to measure acceleration along multiple mutually perpendicular axes.

7. The method according to claim 1 , wherein the point defined as the top of the tower is in the nacelle.

8. The method according to claim 1 , wherein the point defined as the top of the tower is on an axis defined by the tower.

9. The method according to claim 1 , wherein the method comprises determining a weight for each respective measured acceleration from the plurality of acceleration sensors, and wherein the predicted tower top acceleration is updated based on the measured acceleration from each of the acceleration sensors in accordance with their respective determined weights.

10. The method according claim 9 , wherein determining the weight for the measured acceleration from one of the acceleration sensors is based on a comparison between an estimated tower top acceleration of the tower at the previous time step and an estimate of tower top acceleration based on the measured acceleration from the one of the acceleration sensors.

11. The method according claim 10 , wherein when the comparison indicates that a difference between the estimated tower top acceleration at the previous time step and the estimate of tower top acceleration based on the one of the acceleration sensors exceeds a predefined threshold, then the measured acceleration from the one of the acceleration sensors is omitted from the determination of the estimated tower top acceleration.

12. The method according to claim 1 , wherein the acceleration sensors are embedded in respective nodes, of a control system of the wind turbine, distributed in the nacelle.

13. The method according to claim 1 , wherein the control system is a distributed control system comprising a communication backbone operable according to a Time-Triggered Ethernet (TTE) standard.

14. A control system for a wind turbine, the wind turbine comprising a tower, a nacelle atop the tower, and a plurality of acceleration sensors located in the nacelle, and the control system comprising a computer processor configured to:
receive acceleration data, from the plurality of acceleration sensors, including data indicative of a measured acceleration in a direction along at least one measurement axis of each respective acceleration sensor at a current time step;
determine a predicted tower top acceleration of the tower at the current time step, the predicted tower top acceleration being determined in dependence on a kinematic model of the wind turbine that is based on a position and orientation of each acceleration sensor relative to a point defined as a top of the tower, and the predicted tower top acceleration being determined in dependence on a determined estimation of tower top acceleration at a previous time step;
determine an estimated tower top acceleration of the wind turbine tower at the current time step by updating the predicted tower top acceleration based on the measured acceleration from each of the plurality of acceleration sensors; and
controlling the wind turbine based on the estimated tower top acceleration.

15. A wind turbine, comprising:
a tower;
a nacelle disposed on the tower;
a plurality of acceleration sensors located in the nacelle;
a control system configured to perform an operation, comprising:
receive acceleration data, from the plurality of acceleration sensors, including data indicative of a measured acceleration in a direction along at least one measurement axis of each respective acceleration sensor at a current time step;
determine a predicted tower top acceleration of the tower at the current time step, the predicted tower top acceleration being determined in dependence on a kinematic model of the wind turbine that is based on a position and orientation of each acceleration sensor relative to a point defined as a top of the tower, and the predicted tower top acceleration being determined in dependence on a determined estimation of tower top acceleration at a previous time step; and
determine an estimated tower top acceleration of the wind turbine tower at the current time step by updating the predicted tower top acceleration based on the measured acceleration from each of the plurality of acceleration sensors; and
controlling the wind turbine based on the estimated tower top acceleration.

16. The wind turbine according to claim 15 , wherein the predicted and estimated tower top accelerations are determined according to a Kalman filter algorithm.

17. The wind turbine according to claim 15 , wherein the predicted and estimated tower top accelerations include linear accelerations of the tower in at least one linear direction.

18. The wind turbine according to claim 17 , wherein the at least one linear direction includes at least one of: a side/side direction of the wind turbine; a fore/aft direction of the wind turbine; and, an up/down direction of the wind turbine.

19. The wind turbine according to claim 15 , wherein the predicted and estimated tower top accelerations include torsional accelerations of the tower in at least one torsional direction.

Assignees

• Vestas Wind Sys As

Inventors

• Kiib Kristian
• Sowman Jon

Classifications

• F05B2270/807

  Accelerometers · CPC title

• F03D17/034

  Towers · CPC title

• Y02E10/72

  Wind turbines with rotation axis in wind direction · CPC title

• F03D7/047

  characterised by the controller architecture, e.g. multiple processors or data communications · CPC title

• F03D17/00

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