IP Library Granted Patent US 7,603,202
Granted Patent B2
US 7,603,202 · App. 11/667,707 · Granted Oct 13, 2009

Method for optimizing the operation of wind farms

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Quick Facts
Patent No.
US 7,603,202
App. No.
11/667,707
Granted
Oct 13, 2009
Kind
B2
Abstract

A method for optimizing the operation of wind energy installations includes operating target and reference wind energy installations to optimize the target installation first using a first set of operating parameters and then using a second set of operating parameters different from the first operating parameters, recording target variables for the target wind energy installation and recording reference results of the reference wind energy installation in each case for both sets of operating parameters, performing an automated evaluation of the target variables by calculation of a quality measure taking account of the reference results, and determining in an automated manner based on the automated evaluation which of the sets of operating parameters has better quality measure. Each wind installation includes comprise a rotor, a generator driven by the rotor to produce electrical energy, and a controller operating the wind energy installation on the basis of a set of operating parameters.

Claims (32)

1. A method for optimization of the operation of one or more target wind energy installations, each of which comprises a rotor, a generator driven by the rotor to produce electrical energy, and a controller operating the target wind energy installation on the basis of a set of operating parameters, with one or more reference wind energy installations, the method comprising:

operating the one or more target wind energy installations to be optimized with a first measurement operation using a first set of operating parameters and a second measurement operation using a second set of operating parameters different from the first operating parameters,

recording target variables for the one or more target wind energy installations resulting from the first measurement operation and the second measurement operation, and recording reference results of the one or more reference wind energy installations resulting from operation of the one or more reference wind energy installations,

performing an automated evaluation of the target variables by calculation of a quality measure based at least in part on the reference results, and

determining in an automated manner based on the automated evaluation which one of the first and second sets of operating parameters has a better quality measure.

2. The method of claim 1 , wherein output power is used for the target variables and electrical energy yield is used for the quality measure.

3. The method of claim 1 or 2 , further comprising varying a set of operating parameters to produce the first and second sets of operating parameters.

4. The method of claim 3 , wherein the varied set of operating parameters include operating parameters for blade angle, rotation-speed torque characteristic or an offset of a wind direction sensor.

5. The method of claim 1 or 2 , in which operating parameters of the one or more reference wind energy installations are not varied during the operation of the one or more reference wind energy installations on which the recorded reference results are based.

6. The method of claim 1 or 2 , further comprising checking an evaluation matrix for validation of the one or more reference wind energy installations, the evaluation matrix comprising elements for various combinations of the target and reference wind energy installations.

7. The method as claimed in claim 6 , wherein the evaluation matrix has vectors as elements.

8. The method of claim 7 , comprising providing a correction matrix for the evaluation matrix.

9. The method of claim 6 , comprising providing a correction matrix for the evaluation matrix.

10. The method of claim 9 , further comprising carrying out a self-learning method in order to determine the correction matrix.

11. The method of claim 6 , comprising automatically defining the one or more reference wind energy installations by using the evaluation matrix.

12. The method of claim 11 , using static and dynamic conditions for the automatic defining of the one or more reference wind energy installations.

13. The method of claim 12 , comprising using intrinsic conditions for the automatic defining of the one or more reference wind energy installations.

14. The method of claim 11 , comprising using intrinsic conditions for the automatic defining of the one or more reference wind energy installations.

15. The method of claim 11 , comprising using extrinsic conditions for the automatic defining of the one or more reference wind energy installations.

16. The method of claim 1 or 2 , further comprising using a plurality of groups of wind energy installations as the one or more target wind energy installations or the one or more reference wind energy installations.

17. The method of claim 16 , further comprising comparing values associated with an operation of wind energy installations in one group, detecting a discrepancy in the values between the wind energy installations in the one group, and eliminating the detected discrepancy in the group.

18. The method of claim 16 , comprising varying sets of operating parameters for target wind energy installations in a group to produce a gradient field with respect to an operating parameter to be optimized.

19. A target wind energy installation comprising:

a rotor,

a generator driven by the rotor to produce electrical energy,

a controller configured to operate the target wind energy installation on the basis of a set of operating parameters, the controller being further connected to a reference wind energy installation, and

an optimization module configured to

operate the target wind energy installation which is to be optimized with a first measurement operation using a first set of operating parameters and with a second measurement operation using a second set of operating parameters different from the first operating parameters,

record target variables for the target wind energy installation resulting from the first measurement operation and the second measurement operation, and recording reference results of the reference wind energy installation resulting from operation of the reference wind energy installation,

perform an automated evaluation of the target variables by calculation of a quality measure based at least in part on the reference results, and

determine in an automated manner based on the automated evaluation which one of the first and second sets of operating parameters has a better quality measure.

20. A windpark comprising a plurality of the target wind energy installations of claim 19 .

Assignments (8)
CHANGE OF ADDRESS Recorded Aug 31, 2023
From: SIEMENS GAMESA RENEWABLE ENERGY SERVICE GMBH
To: SIEMENS GAMESA RENEWABLE ENERGY SERVICE GMBH
Reel/Frame 064834/0873 →
CHANGE OF NAME Recorded Oct 20, 2022
From: SENVION DEUTSCHLAND GMBH
To: SIEMENS GAMESA RENEWABLE ENERGY SERVICE GMBH
Reel/Frame 064371/0624 →
CHANGE OF NAME Recorded Sep 16, 2022
From: SENVION GMBH
To: SENVION DEUTSCHLAND GMBH
Reel/Frame 061462/0567 →
CHANGE OF NAME Recorded Aug 3, 2022
From: SENVION AG
To: SENVION GMBH
Reel/Frame 061068/0001 →
CHANGE OF NAME Recorded Jul 18, 2022
From: SENVION SE
To: SENVION AG
Reel/Frame 060692/0328 →
CHANGE OF NAME Recorded Jan 23, 2015
From: REPOWER SYSTEMS SE
To: SENVION SE
Reel/Frame 034806/0074 →
CHANGE OF NAME Recorded Jan 21, 2015
From: REPOWER SYSTEMS AG
To: REPOWER SYSTEMS SE
Reel/Frame 034786/0585 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 19, 2009
From: WEITKAMP, ROLAND
To: REPOWER SYSTEMS AG
Reel/Frame 023118/0075 →