System and method for controlling wind turbines in wind farms

Patent metadata

Field	Value
Publication number	US-9709037-B2
Application number	US-201414575116-A
Country	US
Kind code	B2
Filing date	Dec 18, 2014
Priority date	Dec 26, 2013
Publication date	Jul 18, 2017
Grant date	Jul 18, 2017

Abstract

A method for controlling a wind farm including a plurality of wind turbines is provided. The method includes computing an error between a farm-level base point power and a measured wind farm power, generating an aggregated farm-level active power set point for the wind farm based on the error and a frequency response set point, generating aggregated turbine-level active power set points based on the aggregated farm-level active power set point, transmitting the aggregated turbine-level active power set points, determining aero power set points and storage power set points for the respective wind turbines and energy storage elements of the respective wind turbines from the aggregated turbine-level active power set points, and controlling the plurality of wind turbines for delivering aero power based on the respective aero power set points and controlling the energy storage elements to provide storage power based on the respective storage power set points.

First claim

The invention claimed is:

1. A method for controlling a wind farm comprising a plurality of wind turbines, the method comprising:
computing an error between a farm-level base point power forecast and a measured farm-level active power;
generating an aggregated farm-level active power set point for the wind farm based on the error and a frequency response set point;
generating aggregated turbine-level active power set points for the plurality of wind turbines based on the aggregated farm-level active power set point;
transmitting the aggregated turbine-level active power set points to the respective wind turbines;
using the aggregated turbine-level active power set points for determining aero power set points and storage power set points for the plurality of wind turbines and energy storage elements coupled to the plurality of wind turbines respectively; and
using the aero power set points for controlling the respective wind turbines and the storage power set points for controlling the respective energy storage elements.

2. The method of claim 1 , further comprising, prior to computing the error, forecasting the farm-level base point power for the wind farm by generating a plurality of turbine-level base point power forecasts for the plurality of wind turbines in the wind farm.

3. The method of claim 2 , wherein generating the plurality of turbine-level base point power forecasts further comprises adjusting the plurality of turbine-level base point power forecasts based on states of charge of the energy storage elements coupled to the respective wind turbines.

4. The method of claim 3 , wherein adjusting the plurality of turbine-level base point power forecasts comprises adjusting the turbine-level base point power forecasts to maintain the states of charge of the energy storage elements within a dead band limit.

5. The method of claim 1 , wherein generating the aggregated farm-level active power set point for the wind farm further comprises generating the aggregated farm-level active power set point for the wind farm based on a plurality of turbine-level base point power forecast.

6. The method of claim 1 , further comprising receiving the frequency response set point from an independent system operator for an automatic generation control.

7. The method of claim 1 , wherein the storage power set points are determined prior to determining the aero power set points.

8. The method of claim 7 , wherein determining the storage power set points comprises determining active power differences between the aggregated turbine-level active power set points and aero powers of the plurality of wind turbines.

9. The method of claim 8 , further comprising adjusting the active power differences based on states of charge of the energy storage elements.

10. The method of claim 7 , wherein determining the aero power set points comprises determining an active power error between the storage power set points and a DC/DC chopper power.

11. A system for controlling a wind farm including a plurality of wind turbines, the system comprising:
a wind farm controller for:
computing an error between a farm-level base point power forecast and a measured farm-level active power;
generating an aggregated farm-level active power set point for the wind farm based on the error and a frequency response set point;
generating aggregated turbine-level active power set points for the plurality of wind turbines based on the aggregated farm-level active power set point;
transmitting the aggregated turbine-level active power set points to the respective wind turbines;

wind turbine controllers for:
receiving the aggregated turbine-level active power set points;
using the aggregated turbine-level active power set points for determining aero power set points for the respective wind turbines and storage power set points for energy storage elements coupled to the respective wind turbines; and
using the aero power set points for controlling the respective wind turbines and the storage power set points for controlling the energy storage elements coupled to the respective wind turbines.

12. The system of claim 11 , further comprising a forecasting processor for generating a farm-level base point power forecast for the wind farm.

13. The system of claim 11 , wherein the wind turbine controllers are configured for transmitting individual turbine-level base point power forecasts to a forecasting processor for generating the farm-level base point power forecast.

14. The system of claim 13 , wherein the wind turbine controllers adjust the individual turbine-level base point power forecasts based on states of charge of the respective energy storage elements.

15. The system of claim 14 , further comprising storage management systems for determining the states of charge of the energy storage elements.

16. The system of claim 11 , wherein the wind turbine controllers comprise aero power modules for computing aero powers generated by the respective wind turbines.

17. The system of claim 16 , wherein the wind turbine controllers determine active power differences between each of the aero power and the respective aggregated turbine-level active power set points to generate the storage power set points.

18. The system of claim 17 , wherein the wind turbine controllers are configured to receive states of charge of the respective energy storage elements and adjust the active power differences based on droop characteristics of the respective energy storage elements.

19. The system of claim 11 , wherein the wind farm comprises a distributed storage wind farm and wherein each of the plurality of wind turbines comprises an integrated energy storage element.

Assignees

• Gen Electric

Inventors

• Sagi Deepak Raj
• Saha Avijit
• Ganireddy Govardhan
• Cardinal Mark Edward
• Burra Rajni Kant

Classifications

• H02J2101/28

  Wind energy · CPC title

• F05B2260/821

  Parameter estimation or prediction · CPC title

• F03D9/11

  storing electrical energy · CPC title

• F03D7/028

  controlling wind motor output power · CPC title

• F05B2270/335

  Output power or torque · CPC title