Wind turbine control and monitoring method using a wind speed estimation based on a LIDAR sensor

Patent metadata

Field	Value
Publication number	US-9790924-B2
Application number	US-201414552981-A
Country	US
Kind code	B2
Filing date	Nov 25, 2014
Priority date	Nov 25, 2013
Publication date	Oct 17, 2017
Grant date	Oct 17, 2017

Abstract

The invention is a method for controlling and/or monitoring a wind turbine 1 equipped with a LIDAR sensor 2. Control and/or monitoring provides an estimation of the wind speed at the rotor obtained an estimator and a LIDAR sensor 2. The estimator of the wind speed at the rotor is constructed from a representation of the wind, a model of the LIDAR sensor and a model of wind propagation.

First claim

The invention claimed is:

1. A method for at least one of controlling and monitoring a wind turbine equipped with a LIDAR sensor performing a measurement of the wind at a point located upstream from the wind turbine, comprising:
a) acquiring a sensor signal corresponding to the measurement performed by the LIDAR sensor;
b) constructing an estimator for estimating wind speed at the rotor of the turbine from processing the sensor signal using a mathematical representation of the wind, a model of the LIDAR sensor and a model of wind propagation which relates the sensor signal to the wind speed at the rotor;
c) estimating the wind speed at the rotor of the turbine by applying the sensor signal to the estimator which converts the sensor signal at the point upstream from the rotor into an output signal expressing an estimation of wind speed at a plane of the rotor; and
d) at least one of controlling and monitoring the wind turbine in response to the estimation of the wind speed at the plane of the rotor.

2. A method as claimed in claim 1 , wherein the wind turbine is controlled by controlling at least one of an angle of inclination of blades of the turbine and electrical recovery torque of an electrical generator at the turbine.

3. A method as claimed in claim 1 , comprising performing monitoring the electrical recovery torque of a generator of the wind turbine as a function of the estimated wind speed.

4. A method as claimed in claim 1 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

5. A method as claimed in claim 2 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

6. A method as claimed in claim 3 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

7. A method as claimed in claim 4 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

8. A method as claimed in claim 5 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

9. A method as claimed in claim 6 , wherein the mathematical representation of the wind is a frequency model expressed as a Von Karman spectrum.

10. A method as claimed in claim 1 , wherein the model of the LIDAR sensor depends on at least one of a measuring angle of the LIDAR sensor and a volume characteristic of the LIDAR sensor.

11. A method as claimed in claim 2 , wherein the model of the LIDAR sensor depends on at least one of a measuring angle of the LIDAR sensor and a volume characteristic of the LIDAR sensor.

12. A method as claimed in claim 3 , wherein the model of the LIDAR sensor depends on at least one of a measuring angle of the LIDAR sensor and a volume characteristic of the LIDAR sensor.

13. A method as claimed in claim 4 , wherein the model of the LIDAR sensor depends on at least one of a measuring angle of the LIDAR sensor and a volume characteristic of the LIDAR sensor.

14. A method as claimed in claim 10 , wherein the model of the LIDAR sensor M(v) is written in the frequency domain by a relation as follows:

M
⁡

(
v
)

=

ⅇ

2
⁢
ⅈ
⁢

⁢
π
⁢

⁢
v
⁢

l
0

⁢

sin
⁡

(
ϕ
)

w
_

⁢

L
⁡

(
v
)

⁡

[

sin
⁡

(
ϕ
)

cos
⁡

(
ϕ
)

⁢

sin
⁡

(
θ
)

cos
⁡

(
ϕ
)

⁢

cos
⁡

(
θ
)

]

⁡

[

W
x

⁡

(
v
)

W

Assignees

• Ifp Energies Now

Inventors

• Bayon Benoit
• Chauvin Jonathan

Classifications

• H02P9/008

  wherein the generator is controlled by the requirements of the prime mover · CPC title

• F03D9/25

  the apparatus being an electrical generator (F03D9/22 takes precedence) · CPC title

• F03D17/00 Primary

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

• F03D7/04 Primary

  Automatic control; Regulation · CPC title

• F05B2270/32

  Wind speeds · CPC title