METHOD AND SYSTEM FOR HYBRID WIND POWER GENERATION

• US 20150330365A1
• Filed: 05/12/2015
• Published: 11/19/2015
• Est. Priority Date: 05/13/2014
• Status: Active Grant

• Current Assignee: GE Grid Solutions LLC (GE Aerospace)
• Original Assignee: General Electric Company
• Inventors: Deb, Dipankar, Ambekar, Akshay Krishnamurty, Sagi, Deepak Raj
• Granted Patent: US 10,066,604 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: F03D 7/048 controlling wind farms
• CPC Class Codes: F03D 9/11 storing electrical energy
• CPC Class Codes: F03D 9/257 the wind motor being part of a wind farm
• CPC Class Codes: G05B 13/021 in which a variable is automatically adjusted to optimise the performance
• CPC Class Codes: Y02E 10/72 Wind turbines with rotation axis in wind direction
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin

Abstract

A method for optimizing a hybrid wind system including a wind farm having a plurality of wind turbines and one or more energy storage units, is presented. The method includes acquiring actual wind power data associated with one or more dispatch windows. The method includes determining forecasted wind farm power estimates corresponding to the dispatch windows using a plurality of forecast schemes. The method includes computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data. The method includes identifying a wind power forecast scheme based at least in part on the computed difference values and balancing a penalty to the grid with life consumption of the energy storage units while regulating the wind turbines and the energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

Claims

1. A method for optimizing a hybrid wind system comprising a wind farm having a plurality of wind turbines and one or more energy storage units, the method comprising:

acquiring actual wind power data associated with one or more dispatch windows;

determining forecasted wind farm power estimates corresponding to the one or more dispatch windows using a plurality of forecast schemes;

computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data;

identifying a wind power forecast scheme based at least in part on the computed difference values; and

balancing a penalty to the grid with life consumption of the one or more energy storage units while regulating the wind turbines and the one or more energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

2. The method of claim 1, further comprising determining a damage equivalent quantity of the one or more energy storage units based at least in part on the forecasted wind farm power estimates for a dispatch window of the one or more dispatch windows determined based on identified forecast scheme and the actual wind power data for the dispatch window of the one or more dispatch windows.

3. The method of claim 2, wherein determining the damage equivalent quantity comprises using a depth of discharge versus number of cycles curve.

4. The method of claim 3, wherein the damage equivalent quantity for a respective energy storage unit is given by equation:

5. The method of claim 1, wherein the balancing of the penalty to the grid comprises determining a dispatchability quantity of the wind farm and a consumption equivalent of the one or more energy storage units based at least in part on the subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

6. The method of claim 5, further comprising determining cost of the one or more energy storage units based on the consumption equivalent and determining the penalty to the grid based on the dispatchability quantity.

7. The method of claim 6, wherein balancing the penalty to the grid comprises acquiring a balance between the cost of the one or more energy storage units and the corresponding penalty to the grid.

8. The method of claim 1, wherein the plurality of forecast schemes comprises at least several of a persistence forecast scheme, an auto-regressive forecast scheme, a linear fitting forecast scheme, a neural network based scheme, and a support vector regression scheme.

9. The method of claim 1, wherein the actual wind power data associated with the dispatch window of the one or more dispatch windows comprises a mean of actual wind power data acquired at different time slots corresponding to the dispatch window of the one or more dispatch windows.

10. A hybrid wind system, comprising:

a wind farm coupled to a grid and comprising a plurality of wind turbines and one or more energy storage units;

a controller programmed for executing the steps of;

acquiring actual wind power data associated with one or more dispatch windows;

determining forecasted wind farm power estimates corresponding to the one or more dispatch windows using a plurality of forecast schemes;

computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data;

identifying a wind power forecast scheme based at least in part on the computed difference values; and

balancing a penalty to the grid with life consumption of the one or more energy storage units while regulating the wind turbines and one or more energy storage units based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.

11. The system of claim 10, wherein the one or more energy storage units comprises one or more batteries.

12. The system of claim 10, further comprising one or more transducers located proximate to the plurality of wind turbines.

13. The system of claim 10, wherein the controller comprises a sub-controller configured to determine state of charge of the one or more energy storage units.

14. A hybrid wind system, comprising:

a wind farm coupled to a grid and comprising a plurality of wind turbines, a plurality of batteries located proximate to respective ones of the plurality of wind turbines, and a plurality of transducers located proximate to the plurality of wind turbines;

a centralized controller programmed for executing the steps of;

acquiring actual wind power data associated with one or more dispatch windows;

determining forecasted wind farm power estimates corresponding to the one or more dispatch windows using a plurality of forecast schemes;

computing difference values by comparing the forecasted wind farm power estimates to the actual wind power data;

identifying a wind power forecast scheme based at least in part on the computed difference values;

determining a battery set point for one or more time slots of the one or more dispatch windows based at least in part on the subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme; and

balancing a penalty to the grid with life consumption of the batteries while regulating the wind turbines and the batteries based at least in part on a subsequent forecasted wind farm power estimate generated using the identified wind power forecast scheme.