SYSTEMS, METHODS AND APPARATUS FOR INDEXING AND PREDICTING WIND POWER OUTPUT FROM VIRTUAL WIND FARMS

• US 20130060472A1
• Filed: 04/20/2012
• Published: 03/07/2013
• Est. Priority Date: 09/02/2011
• Status: Active Grant

• Current Assignee: Torch Renewable Energy, LLC (Torch Energy Advisors, Inc.)
• Original Assignee: Onsemble LLC
• Inventors: Parikh, Anish, Rowlands, Dan, Binter, Roman
• Granted Patent: US 8,457,911 B2
• Time in Patent Office: Days
• US Class Current: 702/3
• CPC Class Codes: F05B 2240/96 as part of a wind turbine farm
• CPC Class Codes: F05B 2260/82 Forecasts
• CPC Class Codes: F05B 2260/84 Modelling or simulation
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks

Abstract

This disclosure describes systems, methods, and apparatus for predicting electrical power output from wind farms using statistical methods and measured wind speeds near boundaries of control volumes that encompass the wind turbines of interest. These systems, methods, and apparatus can provide electrical power output predictions of up to 6, 12, 24, or 48 hours in advance of actual power reaching the grid.

Claims

1. A method of predicting electrical wind power output for one or more wind turbines comprising:

measuring first wind speeds at wind speed sensors over a first period of time;

converting the first wind speeds to first electrical power data;

determining weights for each data point in the first electrical power data for each corresponding one of the wind speed sensors based on the first electrical power data and published wind power data for a region encompassing the wind speed sensors;

measuring second wind speeds at the wind speed sensors over a second period of time;

converting the second wind speeds to second electrical power data; and

generating weighted electrical power data by multiplying the second electrical power data by the corresponding weights.

2. The method of claim 1, wherein both converting operations further comprise applying one or more power curves, where each power curve represents at least one of the wind turbines.

3. The method of claim 2, wherein the power curve is representative of two or more wind turbines, where the two or more wind turbines each have different power curves.

4. The method of claim 1, wherein the first wind speeds and the second wind speeds at least partially overlap.

5. The method of claim 1, wherein the wind speed sensors are arranged proximal to boundaries of one or more control volumes enclosing one or more wind turbines or wind farms.

6. The method of claim 5, wherein for each control volume, a greater portion of the control volume is upwind of wind turbines within the control volume than a portion of the control volume downwind of those wind turbines.

7. The method of claim 6, wherein a majority of the wind speed sensors are arranged proximal to an upwind portion of the boundary.

8. The method of claim 1, further comprising predicting electrical power output from a region encompassing the plurality of wind speed sensors.

9. The method of claim 8, wherein the predicting precedes actual electrical power output by 0-48 hours.

10. The method of claim 1, wherein at least some of the wind speed sensors are arranged at a wind turbine hub height.

11. The method of claim 1, wherein at least some of the wind speed sensors are arranged above a wind turbine hub height.

12. The method of claim 1, further comprising summing the weighted electrical power output data for the plurality of wind speed sensors.

13. The method of claim 1, wherein at least one of the control volumes encompasses a wind farm.

14. The method of claim 13, wherein equivalent weights are assigned to data points corresponding to wind speed sensors within the same control volume.

15. The method of claim 1, wherein at least one of the control volumes encompasses a portion of two or more wind farms.

16. The method of claim 1, further comprising, periodically updating the weights by repeating the measuring first wind speeds operation and the determining weights operation.

17. A system comprising:

a memory for storing;

first wind speed data for a first time series, measured by a plurality of wind speed sensors; and

second wind speed data for a second time series, measured by the plurality of wind speed sensors;

a power conversion module configured to convert the first and second wind speed data into first and second electrical wind power output data;

a weighting module that;

determines a weight to assign to each wind speed sensor; and

multiplies each weight times a portion of the second electrical wind power output data associated with each weight to produce weighted electrical wind power output data; and

a summation module that sums the weighted electrical wind power output data for the plurality of wind speed sensors.

18. The system of claim 17, wherein the weight is an updated weight.

19. The system of claim 17, wherein each wind speed sensor is arranged proximal to a control volume boundary enclosing one or more wind turbines.