IP Library Granted Patent US 10,612,519
Granted Patent B2
US 10,612,519 · App. 15/631,783 · Granted Apr 7, 2020

Optimal wind farm operation

Inventors: Carsten Franke (Stetten, CH); Kedar Kulkarni (Bangalore, IN); Adrian Timbus (Dättwil, CH); Jan Poland (Nussbaumen, CH); Silvia Mastellone (Nussbaumen, CH); Yan Zhang (Baden, CH)
Assignee: ABB Schweiz AG
F03D7/0292F03D7/0204F03D7/048F03D7/02F03D7/04Y02E10/723
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Quick Facts
Patent No.
US 10,612,519
App. No.
15/631,783
Granted
Apr 7, 2020
Kind
B2
Abstract

The present invention relates to a method of operating a wind farm comprising an upstream and a downstream turbine, wherein the upstream turbine is operated with current operation parameters under current wind conditions, wherein the method comprises the steps of: receiving future wind conditions for a time period for the wind farm, and evaluating required operation parameters for minimising wake effect of the downstream turbine under the future wind conditions, and determining a cost coefficient for changing the operation parameters to required operation parameters under consideration of fatigue effect of the wind turbine, calculating power productions P 0 and P c , in the predetermined time period, by the wind farm if operated with the current operation parameters under the current wind conditions and if operated with the required operation parameters under the future wind conditions, respectively, and operating the upstream turbine with the required operation parameters if the cost coefficient is lower than a cost that would be obtained by a power production increment P c -P 0 .

Claims (46)

1. A method of operating a wind farm with an upstream turbine and a downstream turbine, wherein the upstream turbine is operated with a current upstream operation parameter value under current wind conditions, the method comprising the steps of:

obtaining, for each time interval of a sequence of time intervals of a forecast time period, forecast wind conditions at the upstream wind turbine and at the downstream wind turbine,

determining a candidate upstream operation parameter sequence minimizing a wake effect at the downstream turbine under the forecast wind conditions,

estimating a parameter change expense indicative of a change from the current upstream operation parameter value to a first upstream operation parameter value of the candidate upstream operation parameter sequence,

estimating wind farm productivity P 0 during the forecast time period if the upstream turbine is operated under the forecast wind conditions with the current upstream operation parameter value,

estimating wind farm productivity P c during the forecast time period if the upstream turbine is operated under the forecast wind conditions according to the candidate upstream operation parameter sequence,

calculating a wind farm productivity gain as a difference (P c −P 0 ) between the wind farm productivity according to the candidate upstream operation parameter sequence and the wind farm productivity with the current upstream operation parameter value, and

operating the upstream turbine with the current upstream operation parameter value if the parameter change expense exceeds the productivity gain.

2. The method of claim 1 , wherein

wake effect, parameter change expense, productivity gain, and/or a fatigue effect are evaluated over the forecast time period.

3. The method of claim 1 , wherein

the wake effect, the parameter change expense, the productivity gain, and/or the fatigue are integrated or averaged over the forecast time period.

4. The method of claim 1 , comprising:

estimating a parameter change expense including an energy consumed by a driving motor for moving turbine parts of the upstream turbine when operating the driving motor according to a change in the upstream operation parameter from the current upstream operation parameter value to a first upstream operation parameter value of the candidate upstream operation parameter sequence.

5. The method of claim 1 , comprising:

estimating a parameter change expense including a component wear suffered by the driving motor or by the moving turbine parts, when operating the driving motor according to a change in the upstream operation parameter from the current upstream operation parameter value to a first upstream operation parameter value of the candidate upstream operation parameter sequence.

6. The method of claim 1 , comprising:

estimating a fatigue effect of the upstream wind turbine if operated according to the candidate upstream operation parameter sequence rather than with the current upstream operation parameter value under the forecast wind conditions during the forecast time period, and

operating the upstream turbine based on a forecast balance including the parameter change expense, the productivity gain, and the fatigue effect.

7. The method of claim 1 , wherein a length of the forecast time period is between one minute and three hours.

8. The method of claim 1 , wherein the operation parameter comprises one of a yaw angle indicative of an alignment between a wind direction at the upstream turbine and a rotor axis of the upstream turbine, a pitch angle indicative of an alignment between the wind direction and a rotor blade orientation, a generator torque or a rotor speed.

9. The method of claim 3 , comprising:

estimating a parameter change expense including an energy consumed by a driving motor for moving turbine parts of the upstream turbine when operating the driving motor according to a change in the upstream operation parameter from the current upstream operation parameter value to a first upstream operation parameter value of the candidate upstream operation parameter sequence.

10. The method of claim 9 , comprising:

estimating a parameter change expense including a component wear suffered by the driving motor or by the moving turbine parts, when operating the driving motor according to a change in the upstream operation parameter from the current upstream operation parameter value to a first upstream operation parameter value of the candidate upstream operation parameter sequence.

11. The method of claim 10 , comprising:

estimating a fatigue effect of the upstream wind turbine if operated according to the candidate upstream operation parameter sequence rather than with the current upstream operation parameter value under the forecast wind conditions during the forecast time period, and

operating the upstream turbine based on a forecast balance including the parameter change expense, the productivity gain, and the fatigue effect.

12. The method of claim 11 , wherein a length of the forecast time period is between one minute and three hours.

13. The method of claim 12 , wherein the operation parameter comprises one of a yaw angle indicative of an alignment between a wind direction at the upstream turbine and a rotor axis of the upstream turbine, a pitch angle indicative of an alignment between the wind direction and a rotor blade orientation, a generator torque or a rotor speed.

14. The method of claim 7 , wherein a length of the forecast time period is between three and five minutes.

15. The method of claim 14 , wherein the operation parameter comprises one of a yaw angle indicative of an alignment between a wind direction at the upstream turbine and a rotor axis of the upstream turbine, a pitch angle indicative of an alignment between the wind direction and a rotor blade orientation, a generator torque or a rotor speed.

16. The method of claim 1 , wherein

the wake effect, the parameter change expense, the productivity gain, and/or the fatigue are integrated or averaged over the forecast time period with a time interval or step size depending on the coarseness of the forecast wind conditions.

17. A controller for operating a wind farm comprising an upstream turbine and a downstream turbine, wherein the upstream turbine is operated with a yaw angle γ 0 under current wind conditions, wherein the controller is configured to:

receive future wind conditions for a predetermined time period based on a wind forecast for the wind farm,

calculate a yaw angle γ c for minimizing wake effect at the downstream turbine under the future wind conditions,

determine a cost for changing the yaw angle from γ 0 to γ c ,

calculate power production P 0 of the wind farm under the future wind conditions in the predetermined time period, assuming the upstream turbine being operated with the yaw angle γ 0 under current wind conditions and,

calculate power production P c of the wind farm under the future wind conditions in the predetermined time period, assuming the upstream turbine being operated with the yaw angle γ c for minimizing the wake effect at the downstream turbine,

set the yaw angle to γ c if the cost is lower than a profit of a power production increment P c -P 0 .

18. The controller of claim 17 , wherein said controller is further configured to determine a cost for changing the yaw angle from γ 0 to γ c under consideration of driving motor involvement.

19. The controller of claim 17 , wherein said controller is further configured to determine a cost for wear and fatigue effects at the upstream turbine.

20. The controller of claim 17 , wherein said controller is further configured to evaluate wake effect, parameter change expense, productivity gain, and/or a fatigue effect over the forecast time period.

21. The controller of claim 20 , wherein said controller is further configured to integrate or average wake effect, parameter change expense, productivity gain, and/or a fatigue effect over the forecast time period.

22. The controller of claim 20 , wherein said controller is further configured to integrate or average wake effect, parameter change expense, productivity gain, and/or a fatigue effect over the forecast time period with a time interval or step size depending on the coarseness of the forecast wind conditions.

Assignments (4)
MERGER Recorded Nov 13, 2023
From: HITACHI ENERGY SWITZERLAND AG
To: HITACHI ENERGY LTD
Reel/Frame 065549/0576 →
CHANGE OF NAME Recorded Dec 31, 2021
From: ABB POWER GRIDS SWITZERLAND AG
To: HITACHI ENERGY SWITZERLAND AG
Reel/Frame 058666/0540 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 6, 2020
From: ABB SCHWEIZ AG
To: ABB POWER GRIDS SWITZERLAND AG
Reel/Frame 052916/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 1, 2018
From: FRANKE, CARSTEN; KULKARNI, KEDAR; TIMBUS, ADRIAN; POLAND, JAN; MASTELLONE, SILVIA
To: ABB SCHWEIZ AG
Reel/Frame 047385/0233 →
Priority Claims (1)
EP 14200106 · Dec 23, 2014 · regional
Continuity (2)
Continuation PCTEP2015078174 · Dec 1, 2015
Related Publication 20170284368A1 · Oct 5, 2017
Cited By (10)
US 12,188,450 US 12,199,437 US 12,228,105 US 12,276,208 US 12,297,808 US 12,305,610 US 12,348,046 US 12,352,240 US 12,362,698 US 12,535,055