General Electric Company

General Electric Renovables Espana, S.l.

Ge Vernova Infrastructure Technology LLC

Stefan Kern

Megan Michela Wilson

Akshay Krishnamurty Ambekar

Scott Charles Evans

Siddhanth Chandrashekar

Andreas Herrig

Srinivas Bollapragada

Biju Nanukuttan

Samuel Bryan Shartzer

Samuel Davoust

Roger Drobietz

Benoit Philippe Petitjean

Sujan Kumar Pal

Thierry Pascal Maeder

Subhankar Ghosh

Dongjai Lee

Arunvenkataraman Subramanian

Sara Simonne Delport

Philip James Verzella

Seongkyu Lee

Tapan Ravin Shah

Samual Bryan Shartzer

Anveshi Charuvaka

Megan Wilson

A method for optimizing performance of a wind farm having at least one wind turbine includes maneuvering a first unmanned aerial vehicle (UAV) having at least one sensor to a first location near the at least one wind turbine of the wind farm; collecting, via the at least one sensor of the first UAV, data corresponding to one or more wind conditions at the at least one wind turbine; receiving the data corresponding to the one or more wind conditions at the at least one wind turbine via a controller; generating a control action for the at least one wind turbine using the data corresponding to the one or more wind condition at the at least one wind turbine; and implementing, via the controller, the control action.

System and method for optimizing wind farm performance using unmanned aerial vehicles

A system and method are provided for operating a wind farm includes determining a wind direction and identifying a turbine cluster, which is a subset of a plurality of wind turbines of the wind farm. The subset includes an upwind turbine and a downwind turbine that is affected by a wake emanating from the upwind turbine. The controller then determines a difference between a freestream maximal cluster power output and a wake-affected cluster power output for the turbine cluster. The controller determines a mitigation setpoint combination for the subset configured to establish a mitigated cluster power output. Based on the mitigation setpoint combination, an operating state of at least one wind turbine of the turbine cluster is changed.

Systems and methods for operating a wind farm

The present disclosure is directed to systems and methods for generating one or more farm-level power curves for a wind farm that can be used to validate an upgrade provided to the wind farm. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level operational data from one or more of the wind turbines in the wind farm during the first operational mode. The method also includes aggregating the turbine-level operational data into a representative farm-level time-series. Another step includes analyzing the operational data collected during the first second operational mode. Thus, the method also includes generating one or more farm-level power curves for the first operational mode based on the analyzed operational data.

System and method for validating optimization of a wind farm

The present disclosure is directed to a system and method for determining wake losses of a wind farm. The wind farm includes a plurality of wind turbines. The method includes operating the wind farm in a first operational mode. Another step includes collecting turbine-level data from at least one upstream wind turbines in the wind farm during the first operational mode. The method also includes estimating a freestream farm-level power output for the wind farm during first operational mode based, at least in part, on the collected turbine-level data. A further step includes measuring an actual farm-level power output for the wind farm for the first operational mode. Thus, the method also includes determining the wake losses of the wind farm for the first operational mode as a function of the measured actual farm-level power output and the estimated freestream farm-level power output.

System and method for determining wind farm wake loss

The present disclosure is directed to a system and method for assessing farm-level performance of a wind farm. The method includes operating the wind farm in a first operational mode and identifying one or more pairs of wind turbines having wake interaction. The method also includes generating a pairwise dataset for the wind turbines pairs. Further, the method includes generating a first wake model based on the pairwise dataset and predicting a first farm-level performance parameter based on the first wake model. The method also includes operating the wind farm in a second operational mode and collecting operational data during the second operational mode. Moreover, the method includes predicting a first farm-level performance parameter for the second operational mode using the first wake model and the operational data from the second operational mode. The method further includes determining a second farm-level performance parameter during the second operational mode. Thus, the method includes determining a difference in the farm-level performance of the wind farm as a function of the first and second farm-level performance parameters.

System and method for assessing farm-level performance of a wind farm

A method for controlling a wind farm includes: receiving temperature data associated with a plurality of locations along a sound path between the wind farm and a sound immission point from one or more sensors; estimating a propagation characteristic of the sound path based at least in part on the temperature data; predicting a noise level at the sound immission point based at least in part on the propagation characteristic; determining a control signal for one or more wind turbines in the wind farm based at least in part on the noise level; and using the control signal to control the one or more wind turbines.

System and method for controlling the operation of wind turbines

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Munich, Germany

Stefan Kern