Determining control settings for a wind turbine
View Patent ↗Provided is a method of determining a control setting of at least one wind turbine of a wind park, the method including: determining a free-stream wind turbulence and deriving the control setting based on the free-stream wind turbulence, wherein the control setting includes a yawing offset, and wherein the yawing offset is derived to be the smaller, the higher the free-stream wind turbulence is.
1. A method of determining a control setting of at least one wind turbine of a wind park, the method comprising:
determining a free-stream wind turbulence; and
deriving the control setting based on the free-stream wind turbulence,
wherein the control setting includes a yawing offset, wherein the yawing offset is derived to decrease as the free-stream wind turbulence increases.
2. The method according to claim 1 , wherein the free-stream wind turbulence is determined based on a variance of a free-stream wind speed.
3. The method according to claim 2 , wherein the free-stream wind speed is determined based on at least one of an operational condition and a wind measurement of at least one front wind turbine facing the wind essentially not disturbed by any other wind turbine.
4. The method according to claim 3 , wherein the operational condition comprises at least one of a:
current power level;
current pitch angle of at least one rotor blade; and
rotational speed of a rotor of the front wind turbine.
5. The method according to claim 1 , wherein the control setting is further derived based on at least one of the free-stream wind speed and, measured, free-stream wind direction.
6. The method according to claim 1 , wherein the control setting is derived such that wind park performance is optimized, using a wake model.
7. The method according to claim 6 , wherein the wake model predicts power production and/or loading of at least one wind turbine of the wind park based on wake parameters including at least one of:
the free-stream wind speed,
the free-stream wind direction,
the control setting for at least one, wind turbines, and
the free-stream wind turbulence.
8. The method according to claim 6 , wherein the wake model predicts higher power production for a downstream wind turbine for higher free-stream wind turbulence.
9. The method according to claim 1 , wherein the control setting includes at least one wake-influencing wind turbine setting, wherein the at least one wake-influencing wind turbine setting includes at least one of:
a rotor yawing angle;
a pitch angle;
a rotor speed;
a power production set-point; and
a rotor tilt.
10. The method according to claim 1 , wherein the control setting is looked up from a multidimensional table or from one table of a set of tables each being associated with a particular free-stream wind turbulence range.
11. A method of controlling a wind park, the method comprising:
performing the method according to claim 1 to derive control setting for at least one wind turbine of the wind park;
limiting values of the control setting to comply with a rating of the control setting for the wind turbine; and
controlling the wind turbine by the limited values of the control setting.
12. An arrangement for determining a control setting of at least one wind turbine of a wind park, the arrangement comprising a processor including hardware and adapted to:
determine a free-stream wind turbulence; and
derive the control setting based on the free-stream wind turbulence.
13. A wind park, comprising:
plural wind turbines; and
an arrangement for determining a control setting of at least one wind turbine of the plural wind turbines, the arrangement comprising a processor including hardware and adapted to determine a free-stream wind turbulence and derive the control setting based on the free-stream wind turbulence wherein the arrangement is communicatively connected to the plural wind turbines to supply a respective control setting to each wind turbine of the plural wind turbines;
wherein the control setting includes a yawing offset, wherein the yawing offset is derived to decrease as the free-stream wind turbulence increases.
14. The method according to claim 1 , wherein the free-stream wind turbulence is determined based on a low-pass filtered variance of a free-stream wind speed.
15. The method according to claim 2 , wherein the free-stream wind speed is determined using a 3D data table.
16. The method according to claim 6 , wherein the wake model predicts power production and/or loading of all wind turbines of the wind park.
17. The method according to claim 6 , wherein the wake model predicts power production and/or loading of at least one wind turbine of the wind park thereby defining values of wake parameters including at least one of:
the free-stream wind speed,
the free-stream wind direction,
the control setting for at least one, wind turbines, and
the free-stream wind turbulence.