IP Library › Granted Patent US 9,606,518
Granted Patent B2
US 9,606,518 · App. 13/339,153 · Granted Mar 28, 2017

Control system and method of predicting wind turbine power generation

Inventors: Scott Charles Evans (Burnt Hills, NY); John Anderson Fergus Ross (Niskayuna, NY); Colin Craig McCulloch (Charlton, NY); Lang Tong (Ithaca, NY); Peter Alan Gregg (Niskayuna, NY); John David Hilton, Jr. (East Greenbush, NY); Andrew Ferree (Latham, NY); Joshua Benjamin Schoenstedt (Ballston Lake, NY); Waseem Ibrahim Faidi (Schenectady, NY)
Assignee: General Electric Company
G05B13/026
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Quick Facts
Patent No.
US 9,606,518
App. No.
13/339,153
Granted
Mar 28, 2017
Kind
B2
Abstract

A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.

Claims (25)

1. A control system for use with a plurality of wind turbines, said control system comprising:

a processor; and

a memory device coupled to said processor, said memory device configured to store a plurality of program modules that, when executed by said processor, configure said processor to:

receive data representative of actual power generation of a first wind turbine of the plurality of wind turbines; and

determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the actual power generation of the first wind turbine,

wherein the processor is further configured to adjust at least one component of at least one of the plurality of wind turbines based at least in part on the expected power generation of the second wind turbine.

2. A control system in accordance with claim 1 , wherein the expected power generation is an expected current power generation of the second wind turbine, said processor is further configured to compare the expected current power generation to the actual power generation of the second wind turbine.

3. A control system in accordance with claim 1 , wherein said processor is configured to determine the expected power generation of the second wind turbine using a power prediction model, wherein said processor is further configured to generate a notification if an output of the power prediction model representative of an expected value of a characteristic of the second wind turbine does not match a measured value of the characteristic.

4. A control system in accordance with claim 1 , wherein the expected power generation is an expected future power generation of the second wind turbine, said processor is further configured to:

receive data representative of the actual power generation of each wind turbine of the plurality of wind turbines; and

determine the expected future power generation of the second wind turbine based on the power generation data of each wind turbine of the plurality of wind turbines.

5. A control system in accordance with claim 4 , wherein said processor is configured to determine the expected future power generation of the second wind turbine using a fractional autoregressive integrated moving average model based on the actual power generation data of each wind turbine of the plurality of wind turbines.

6. A control system in accordance with claim 1 , wherein said processor is further configured to determine the expected power generation of the second wind turbine based on the actual power generation of each wind turbine of the plurality of wind turbines, based on environmental condition data received from at least one meteorological tower, and based on a speed of wind determined by each wind turbine of the plurality of wind turbines.

7. A method of predicting a power generation of a wind turbine, said method comprising:

receiving, by a control system, data representative of the actual power generation of a first wind turbine of a plurality of wind turbines;

determining, by the control system, an expected power generation of a second wind turbine of the plurality of wind turbines based on the actual power generation of the first wind turbine; and

adjusting at least one component of at least one of the plurality of wind turbines based at least in part on the expected power generation of the second wind turbine.

8. A method in accordance with claim 7 , wherein the expected power generation is an expected current power generation of the second wind turbine, said method further comprising comparing the expected current power generation to the actual power generation of the second wind turbine.

9. A method in accordance with claim 7 , further comprising determining the expected power generation of the second wind turbine using a power prediction model and generating a notification if an output of the power prediction model representative of an expected value of a characteristic of the second wind turbine does not match a measured value of the characteristic.

10. A method in accordance with claim 7 , wherein the expected power generation is an expected future power generation of the second wind turbine, said method further comprising:

receiving data representative of the actual power generation of each wind turbine of the plurality of wind turbines; and

determining the expected future power generation of the second wind turbine based on the actual power generation data of each wind turbine of the plurality of wind turbines, and

adjusting at least one component of at least one of the plurality of wind turbines based at least in part on the expected power generation of the second wind turbine.

11. A method in accordance with claim 10 , wherein determining the expected future power generation of the second wind turbine comprises determining the expected future power generation of the second wind turbine using a fractional autoregressive integrated moving average model based on the actual power generation data of each wind turbine of the plurality of wind turbines.

12. A method in accordance with claim 7 , further comprising determining the expected power generation of the second wind turbine based on the actual power generation of each wind turbine of the plurality of wind turbines, based on environmental condition data received from at least one meteorological tower, and based on a speed of wind determined by each wind turbine of the plurality of wind turbines.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 17, 2023
From: GENERAL ELECTRIC COMPANY
To: GE INFRASTRUCTURE TECHNOLOGY LLC
Reel/Frame 065727/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 20, 2012
From: MCCULLOCH, COLIN CRAIG
To: GENERAL ELECTRIC COMPANY
Reel/Frame 027570/0824 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 28, 2011
From: EVANS, SCOTT CHARLES; ROSS, JOHN ANDERSON FERGUS; MCCULLOCH, COLIN CRAIG; TONG, LANG; GREGG, PETER ALAN; HILTON, JR., JOHN DAVID; FERREE, ANDREW; SCHOENSTEDT, JOSHUA BENJAMIN; FAIDI, WASEEM IBRAHIM
To: GENERAL ELECTRIC COMPANY
Reel/Frame 027454/0588 →
Continuity (1)
Related Publication 20120101644A1 · Apr 26, 2012