Method of determining an induction factor for a wind turbine equipped with a lidar sensor

Patent metadata

Field	Value
Publication number	US-11668284-B2
Application number	US-201916681573-A
Country	US
Kind code	B2
Filing date	Nov 12, 2019
Priority date	Nov 12, 2018
Publication date	Jun 6, 2023
Grant date	Jun 6, 2023

Abstract

The present invention is a method of determining an induction factor of the wind for a wind turbine (1) equipped with a LiDAR sensor (2). For this method, wind speed measurements are performed in measurement planes (PM) by use of LiDAR sensor (2), then induction factors between measurement planes (PM) are determined by use of the measurements and of a first linear Kalman filter, and the induction factor between a measurement plane (PM) and the rotor plane (PR) of wind turbine (1) is determined by a second linear Kalman filter.

First claim

The invention claimed is:

1. A method of controlling a wind turbine equipped with a LiDAR sensor performing a measurement relative to wind speed in at least three measurement planes separated in space from the wind turbine, comprising:
A. determining an induction factor of wind between a measurement plane and a rotor plane of a wind turbine equipped with a LiDAR sensor, the induction factor of the wind representing a wind deceleration coefficient defined as a ratio of wind speeds between two separate points upstream from the wind turbine resulting from deceleration of the wind in the planes caused by operation of the wind turbine in a wind field, by:
a) measuring the wind speed in at least three measurement planes separated in space from the wind turbine by use of the LiDAR sensor;
b) determining at least two induction factors of the wind between two of the measurement planes by providing the wind speed measurements as inputs to a first linear Kalman filter to produce an output of the linear induction factors in the two measurement planes; and
c) determining the induction factor of the wind between of one at least two of the measurement planes and the rotor plane of the wind turbine by using the output of the determined induction factors from the first linear Kalman filter as inputs to a second linear Kalman filter to produce an output of the induction factor from the second linear Kalman filter;

B. determining the wind speed in the rotor plane as a function of the induction factor of the wind between one of the at least two of the measurement planes and the rotor plane of the wind turbine by using wind speed measurements in the measurement plane relative to the induction factor of the wind between one of the at least two of the measurement planes and the rotor plane; and
C. controlling the wind turbine as a function of the wind speed in the rotor plane.

2. A method as claimed in claim 1 , wherein the at least two induction factors of the wind are determined between the measurement planes having known spacings which are equal to a distance between the rotor plane and a measurement plane closest to the rotor plane.

3. A method as claimed in claim 2 , wherein the wind speed measurement is performed in at least four measurement planes and at least three induction factors of the wind are determined between two measurement planes.

4. A method as claimed in claim 1 , wherein the wind speed measurement is performed in at least four measurement planes and at least three induction factors of the wind are determined between two measurement planes.

5. A method as claimed in claim 1 , wherein the wind speed in the rotor plane corresponds to multiplication of the induction factor of the wind between a measurement plane and the rotor plane of a wind turbine by the wind speed in the measurement plane relative to the induction factor of the wind.

6. A computer program product comprising code instructions stored on a tangible storage medium which when executed by a processor of the LiDAR sensor which performs steps of the method of claim 1 when the program is executed on a processor of the LiDAR sensor.

7. A LiDAR sensor for a wind turbine, comprising a processor implementing the method of claim 1 .

8. A wind turbine comprising the LiDAR sensor recited in claim 7 in which the LiDAR sensor is located on the nacelle of the wind turbine.

Assignees

• Ifp Energies Now

Inventors

• Nguyen Hoai-Nam
• Guillemin Fabrice

Classifications

• G01S17/88

  Lidar systems specially adapted for specific applications · CPC title

• F05B2270/8042

  Lidar systems · CPC title

• F03D17/00 Primary

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

• G05B19/042

  using digital processors (G05B19/05 takes precedence) · CPC title

• G01S17/95

  for meteorological use · CPC title