Disablement of wind turbines in a wind park
Embodiments of the invention generally relate to wind turbine generators, and more specifically to the deactivation of wind turbines in a wind turbine park. A wind park controller may be configured to retrieve data indicating fatigue experienced by each wind turbine of the wind turbine park, and deactivate those turbines determined to be the most fatigued, thereby increasing the lifetime of turbines in the wind turbine park.
1. A method for operating a plurality of wind turbines in a wind farm, comprising:
determining that one or more wind turbines of the plurality of wind turbines should be deactivated;
retrieving data indicating fatigue experienced by each wind turbine of the plurality of wind turbines by:
retrieving at least two different types of the data indicating fatigue experienced by each wind turbine; and
assigning a respective priority to each type of the data based on comparing the fatigue indicated by the at least two different types of data, wherein the respective priority indicates a relative importance between each type of the data, and wherein the respective priorities are used to compare the fatigue experienced between two or more of the plurality of wind turbines when determining to deactivate the one or more wind turbines;
selecting at least a first wind turbine of the plurality of wind turbines to deactivate based on the fatigue indicated by the type of the data with a highest priority;
selecting at least a second wind turbine of the plurality of wind turbines to continue to operate based on the data indicating fatigue;
deactivating the at least first wind turbine, wherein the at least second wind turbine is not deactivated; and
operating the at least second wind turbine to produce a power according to a power reference signal to keep the wind farm operating, after deactivating the at least first wind turbine.
2. The method of claim 1 , wherein the data indicating fatigue experienced by each wind turbine comprises data regarding current conditions which impact fatigue of each wind turbine.
3. The method of claim 2 , wherein the data indicating fatigue experienced by each wind turbine comprises at least one of:
wind speed;
turbulence; and
wind direction and a position of the wind turbine in relation to other wind turbines.
4. A controller for controlling a plurality of wind turbines in a wind farm, wherein the controller is configured to:
determine that one or more wind turbines of the plurality of wind turbines should be deactivated;
retrieve data indicating fatigue experienced by each wind turbine of the plurality of wind turbines by:
retrieving at least two different types of the data indicating fatigue experienced by each wind turbine; and
assigning a respective priority to each type of the data based on comparing the fatigue indicated by the at least two different types of data, wherein the respective priority indicates a relative importance between each type of the data, and wherein the respective priorities are used to compare the fatigue experienced between two or more of the plurality of wind turbines when determining to deactivate the one or more wind turbines;
select at least a first wind turbine of the plurality of wind turbines to deactivate based on the fatigue indicated by the type of the data with a highest priority;
select at least a second wind turbine of the plurality of wind turbines to continue to operate based on the data indicating fatigue;
deactivate the at least first wind turbine, wherein the at least second wind turbine is not deactivated; and
operate the at least second wind turbine to produce a power according to a power reference signal to keep the wind farm operating, after deactivating the at least first wind turbine.
5. The controller of claim 4 , wherein the data indicating fatigue experienced by each wind turbine comprises data regarding current conditions which impact fatigue of each wind turbine.
6. The controller of claim 5 , wherein the data indicating fatigue experienced by each wind turbine comprises at least one of:
wind speed;
turbulence; and
wind direction and a position of the wind turbine in relation to other wind turbines.
7. A wind power plant comprising:
a plurality of wind turbines; and
a controller configured to:
determine that one or more wind turbines of the plurality of wind turbines should be deactivated;
retrieve data indicating fatigue experienced by each wind turbine of the plurality of wind turbines by:
retrieving at least two different types of the data indicating fatigue experienced by each wind turbine; and
assigning a respective priority to each type of the data based on comparing the fatigue indicated by the at least two different types of data, wherein the respective priority indicates a relative importance between each type of the data, and wherein the respective priorities are used to compare the fatigue experienced between two or more of the plurality of wind turbines when determining to deactivate the one or more wind turbines;
select at least a first wind turbine of the plurality of wind turbines to deactivate based on the fatigue indicated by the type of the data with a highest priority;
select at least a second wind turbine of the plurality of wind turbines to continue to operate based on the data indicating fatigue;
deactivate the at least first wind turbine, wherein the at least second wind turbine is not deactivated; and
operate the at least second wind turbine to produce a power according to a power reference signal to keep the wind power plant operating, after deactivating the at least first wind turbine.
8. The wind power plant of claim 7 , wherein the data indicating fatigue experienced by each wind turbine comprises data regarding current conditions which impact fatigue of each wind turbine.
9. The wind power plant of claim 8 , wherein the data indicating fatigue experienced by each wind turbine comprises at least one of:
wind speed;
turbulence; and
wind direction and a position of the wind turbine in relation to other wind turbines.
10. The method of claim 1 , wherein the at least first wind turbine experienced a larger number of faults than the at least second wind turbine.
11. The method of claim 1 , wherein the at least first wind turbine received a larger number of alarms in a predefined time window than the at least second wind turbine.
12. The method of claim 1 , wherein the at least first wind turbine produced a greater total amount of lifetime power than the at least second wind turbine.
13. The method of claim 1 , wherein the at least first wind turbine experienced a greater turbulence than the at least second wind turbine.
14. The method of claim 1 , wherein the at least first wind turbine experienced a wind speed higher than a threshold.
15. The method of claim 1 , wherein the data indicating fatigue experienced by each wind turbine comprises historical fault data for each wind turbine.
16. The controller of claim 4 , wherein the data indicating fatigue experienced by each wind turbine comprises historical fault data for each wind turbine.
17. The wind power plant of claim 7 , wherein the data indicating fatigue experienced by each wind turbine comprises historical fault data for each wind turbine.
18. The method of claim 1 , wherein the type of the data with the highest priority comprises total number of failures experienced by each wind turbine and the total number of failures experienced by each wind turbine is compared between two or more of the plurality of wind turbines.
19. The method of claim 1 , wherein the type of the data with the highest priority comprises total number of alarms for each wind turbine and the total number of alarms for each wind turbine is compared between two or more of the plurality of wind turbines.
20. The method of claim 1 , wherein the type of the data with the highest priority comprises total amount of power produced by each wind turbine and the total amount of power produced by each wind turbine is compared between two or more of the plurality of wind turbines.