POWER PRODUCTION FORECASTING FOR A WIND TURBINE

Abstract

A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site. Global weather forecast data is received at a central data centre. A site specific forecast is then generated at the central data centre, based on the global weather forecast data. The site specific forecast from the central data centre is sent to a local data centre, e.g. arranged at the site of the wind farm. Site specific data is received at the local data centre and comprises site specific weather data and/or site specific wind turbine data measured at the site. The site specific forecast is then updated at the local data centre, using the site specific data. Finally, a power production forecast of the at least one wind turbine is generated based on the updated site specific forecast.

Claims

1. A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site (301), the method comprising: receiving global weather forecast data at a central data centre, the central data centre being arranged remotely from the site of the wind farm; generating a site specific forecast at the central data centre, based on the global weather forecast data, the site specific forecast being a site specific weather forecast and/or a site specific power production forecast related to the site of the wind farm; sending the site specific forecast from the central data centre to a local data centre; receiving site specific data at the local data centre, the site specific data comprising site specific weather data and/or site specific wind turbine data measured at the site; updating the site specific forecast at the local data centre, using the site specific data; and generating a power production forecast of the at least one wind turbine, based on the updated site specific forecast.

2. The method of claim 1, wherein the local data centre is arranged at the site of the wind farm.

3. The method of claim 1, wherein generating a power production forecast of the at least one wind turbine is performed by using a predefined transfer function.

4. The method of claim 3, wherein the predefined transfer function is generated based on historical data of the at least wind turbine within an appointed time period.

5. The method of claim 1, wherein generating a site specific forecast comprises generating a site specific weather forecast, wherein updating the site specific forecast at the local data centre comprises updating the site specific weather forecast, and wherein generating a power production forecast for the at least one wind turbine is performed on the basis of the updated site specific weather forecast.

6. The method of claim 1, wherein generating a site specific forecast comprises generating a site specific power production forecast at the central data centre.

7. The method of claim 6, wherein generating a site specific power production forecast at the central data centre comprises generating a site specific weather forecast, based on the global weather forecast data, and generating a site specific power production forecast, based on the site specific weather forecast.

8. The method of claim 1, wherein the global weather forecast data are received at the central data centre at least every 6 hours.

9. The method of claim 1, wherein the power production forecast of the at least one wind turbine is a forecast of expected power generated by the at least one wind turbine operating under optimal conditions.

10. A The method of claim 1, wherein the site specific wind turbine data comprises information related to current power output of one or more wind turbines of the wind farm, temperature measurements of one or more wind turbines of the wind farm, rotor speed of one or more wind turbines of the wind farm, and/or pitch angle of wind turbine blades of one or more wind turbines of the wind farm.

11. The method of claim 1, wherein the site specific wind turbine data include information regarding scheduled wind turbine maintenance for one or more wind turbines of the wind farm.

12. The method of claim 1, wherein the method further comprises operating one or more wind turbines of the wind farm in accordance with the generated power production forecast.

13. A The method of claim 1, wherein the method further comprises generating a power forecast for the wind farm by aggregating power production forecasts from all wind turbines of the wind farm.

14. The method of claim 13, wherein the method further comprises operating the wind farm in accordance with the generated power forecast for the wind farm.

15. The method of claim 14, wherein the wind farm is operated to generate 90-100% of the forecasted power production of the generated power forecast for the wind farm.

16. (canceled)

17. (canceled)

18. A system, comprising: at least two wind turbines of a wind farm at a site; a central data centre being arranged remotely from the site; and a local data centre; wherein the central data centre is configured to perform a first operation, comprising: receiving global weather forecast data; generating a site specific forecast based on the global weather forecast data; and sending the site specific forecast from the central data centre to the local data centre, the site specific forecast being a site specific weather forecast and/or a site specific power production forecast related to the site of the wind farm; wherein the local data centre is configured to perform a 2.sup.nd operation, comprising: receiving site specific data, the site specific data comprising site specific weather data and/or site specific wind turbine data measured at the site; and updating the site specific forecast, using the site specific data; and the system being configured to generate a power production forecast of the at least one wind turbine based on the updated site specific forecast.

19. The system according to claim 18 wherein the local data centre is arranged at the site of the wind farm.

20. A method for forecasting power production of at least one wind turbine, the wind turbine forming part of a wind farm arranged at a site, the method comprising: receiving global weather forecast data at a central data centre, the central data centre being arranged remotely from the site of the wind farm; generating a site specific forecast at the central data centre, based on the global weather forecast data, the site specific forecast being a site specific weather forecast and/or a site specific power production forecast related to the site of the wind farm; sending the site specific forecast from the central data centre to a local data centre, wherein the local data centre is arranged at the site of the wind farm; receiving site specific data at the local data centre, the site specific data comprising site specific weather data and/or site specific wind turbine data measured at the site; updating the site specific forecast at the local data centre using the site specific data; and generating a power production forecast of the at least one wind turbine, by using a predefined transfer function and based on the updated site specific forecast.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The invention will now be described in further detail with reference to the accompanying drawings in which

[0048] FIG. 1 shows a schematic diagram illustrating a method for forecasting power production of one wind turbine according to a first embodiment of the first aspect of the invention,

[0049] FIG. 2 shows a schematic diagram illustrating a method for forecasting power production of one wind turbine according to a second embodiment of the first aspect of the invention, and

[0050] FIG. 3 shows a system according to an embodiment of the invention.

DETAILED DESCRIPTION OF THE DRAWINGS

[0051] FIG. 1 shows a schematic diagram of illustrating method for forecasting power production of one wind turbine according to a first embodiment of the invention. The wind turbine forms part of a wind farm arranged at a site. A central data centre 100 is arranged remotely from the site, while a local data centre 101 is arranged at the site of the wind farm. In the first step 102 the central data centre 100 receives global or regional weather forecast data, e.g. in the form of one or more global weather forecasts, from at least one global weather forecast centre 103. The central data centre 100 then, in the next step 104, generates a site specific weather forecast based on the global or regional weather forecast data. The site specific weather forecast relates to the site of the wind farm. The site specific weather forecast generated at the central data centre 100 in step 104 is then sent to the local data centre 101. The local data centre 101 also receives site specific data 105. The site specific data 105 comprises site specific weather data and/or site specific power data related to the wind turbine. As a first step 106, the local data centre 101 updates the site specific weather forecast using the site specific data 105, thereby obtaining an updated site specific weather forecast. In the last step 107 of the method, the local data centre 101 generates a wind turbine power production forecast, based on the updated site specific weather forecast.

[0052] FIG. 2 shows a schematic diagram illustrating a method for forecasting power production of one wind turbine according to a second embodiment of the invention. As in the first embodiment, the wind turbine forms part of a wind farm arranged at a site. A central data centre 100 is arranged remotely from the site, while a local data centre 101 is arranged at the site of the wind farm. In the first step 102 the central data centre 100 receives global or regional weather forecast data from at least one global weather forecast centre 103. The central data centre 100 then, in the next step 104, generates a site specific weather forecast based on the global or regional weather forecast data. Further, the central data centre 100, in the step 205, generates a site specific power forecast based on the site specific weather forecast. The site specific power forecast generated at the central data centre 100 in the step 205 is then sent to the local data centre 101. The local data centre 101 also receives site specific data 105. The site specific data 105 comprises site specific weather data and/or site specific power data related to the wind turbine. As a final step 206 of the method, the local data centre 101 updates the site specific power forecast using the site specific data 105, based on the site specific data.

[0053] FIG. 3 shows a system according to an embodiment of the invention. The system performs the method described in FIGS. 1 and 2. The system comprises a wind farm 300 arranged at a site 301. The wind farm 300 comprises at least two wind turbines, and the figure shows three turbines 302-304. The wind farm 300 further comprises a control unit 305 being in communication with all the wind turbines 302-304 arranged at the site 301. A local data centre 306 is also arranged at the site 301 and is configured to receive data from the control unit 305. The local data centre 306 is also configured to receive, weather forecast data related to the site 301 from a local meteorology centre 307, i.e., a site specific weather forecast data. The local meteorology centre 307 generates the site specific data.

[0054] A central data centre 308 is arranged remotely from the site 301 of the wind farm 300. The central data centre 308 is configured to receiving global weather forecast data from at least one global meteorology centre 309. Once the global weather forecast data is received, the central data centre 308 generates a site specific forecast based on the global weather forecast data, and sends the site specific forecast from the central data centre 308 to the local data centre 306. The site specific forecast is a site specific weather forecast and/or a site specific power production forecast related to the site 301 of the wind farm 300. In an alternative embodiment, the central data centre 308 may generate only the site specific weather forecast while the site specific power production forecast will be generated by the local data centre 306.

[0055] The local data centre 306 is configured to receiving site specific data and to updating the site specific forecast, using the site specific data received from the control unit 305 and the local meteorology centre 307. The local data centre 306 finally generates a power production forecast of the at least one wind turbine based on the updated site specific forecast.

[0056] In one embodiment, each of the wind turbines 302-304 of the wind farm 300 may have its own control unit 305. Each of the control units 305 would then be individually connected to the local data centre 306. Further, the local data centre 306 may generate a power forecast for the wind farm 300 by aggregating power production forecasts from all wind turbines 302-304 arranged at the wind farm 300.

[0057] As described above, the system of FIG. 3 is capable of generating power production forecasts for the wind turbines of the wind farm 300, which are accurate and have a very high time resolution, because the part of the process which involves handling of global weather forecast data is performed at the central data centre 308, while the part of the process which takes locally obtained data into account is performed at the local data centre 306.