General Electric Company

General Electric Renovables Espana, S.l.

Akshay Ambekar

Govardhan Ganireddy

Venkatarao Ryali

Rajni Kant Burra

Minesh Ashok Shah

Siddhanth Chandrashekar

Bret Dwayne Worden

Allen Michael Ritter

Awadesh Kumar Tiwari

Aninda Bhattacharya

Arne Koerber

Deepak Raj Sagi

Anup Menon

Avijit Saha

Bernardo Adrian Movsichoff

Mahesh Raveendranatha Panicker

Victor Robert Abate

Venkata Krishna Vadlamudi

Kalpit Vikrambhai Desai

Murali Mohan Baggu Data Venkata Satya

Krishnarao Dattaram Dhuri

Vishal Cholapadi Ravindra

Ranji Kant Burra

A method for optimizing power production of a wind turbine includes determining at least one operational constraint for the wind turbine. The method also includes operating the wind turbine with at least one operational constraint being activated. Further, the method includes varying a tip speed ratio for the wind turbine while the at least one operational constraint is activated so as to maximize a power coefficient of the wind turbine.

System and method for optimizing power output of a wind turbine during an operational constraint

Methods and systems for optimizing operation of a wind farm are disclosed. The method includes providing a farm-level wake model for the wind farm based on historical wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Another step includes monitoring one or more real-time wake parameters for wind turbines in the wind farm. A further step includes identifying at least two interacting wind turbines from the reference sets based on the wake parameters. Another step includes determining a wake offset angle between the interacting wind turbines as a function of at least one of a wind direction, a geometry between the interacting wind turbines, or a wake meandering component. The method also includes continuously updating the wake model online based at least partially on the wake parameters and the wake offset angle and controlling the interacting wind turbines based on the updated wake model.

Systems and methods for optimizing operation of a wind farm

A multi-farm wind power dispatch management system is provided which includes wind turbine dispatch controllers for controlling wind power dispatch of respective wind farm components and wind farm dispatch management systems for receiving respective wind farm component operating parameters and generating respective farm-level operating parameters. The system also includes group dispatch management systems for receiving the farm-level operating parameters and generating respective group level operating parameters. The system also includes a master dispatch management system for receiving the group-level operating parameters; computing a real time output power generated by the wind farm components; determining a difference between the real time output power and a committed output power; and generating reference commands, based on the difference, for controlling at least one of, the wind farm component operating parameters, the farm-level operating parameters, the group level operating parameters, or combinations thereof to reduce the difference and dispatch the committed output power.

Multi-farm wind power generation system

A system for commissioning a wind turbine is provided. The system includes a test wind turbine, one or more additional wind turbines coupled to the test wind turbine, and a control system. The control system includes a first control module for controlling the one or more additional wind turbines to act as a power source and provide power to the test wind turbine. The control system also includes a second control module for controlling the one or more additional wind turbines to act as a load for dissipating test power generated by the test wind turbine.

System and method for commissioning wind turbines

A system is presented. The system includes a stator component, a rotor component rotating inside the stator component, a plurality of features disposed on the periphery of the stator component or the rotor component, and a processing subsystem for determining at least one of an amount of rotor imbalance and an orientation of the rotor imbalance at least based upon feature-to-feature speed variation of the plurality of features.

Methods and systems to determine rotor imbalance

Embodiments of methods and systems for optimizing operation of a wind farm are presented. The method includes receiving new values corresponding to at least some wake parameters for wind turbines in the wind farm. The method further includes identifying new sets of interacting wind turbines from the wind turbines based on the new values. Additionally, the method includes developing a farm-level predictive wake model for the new sets of interacting wind turbines based on the new values and historical wake models determined using historical values of the wake parameters corresponding to reference sets of interacting wind turbines in the wind farm. Furthermore, the method includes adjusting one or more control settings for at least the new sets of interacting wind turbines based on the farm-level predictive wake model.

A system for wind power dispatch that includes a wind farm controller for controlling operation of wind turbines in a wind farm and regulating real time power output of the wind farm. The system also includes a wind power dispatch management system for computing a difference between a predefined power output and the real time power output and dispatching a transient wind farm reserve to reduce the difference or, if the transient wind farm reserve is insufficient to reduce the difference, additionally or alternatively dispatching a storage reserve to reduce the difference.

System and method for wind power dispatch in a wind farm

A method for optimizing one or more farm-level metrics in a wind farm is presented. The method includes identifying an optimization objective and one or more decision variables for optimization. Furthermore, the method includes optimizing the optimization objective based on wake-affected wind conditions, power capture values, or damage equivalent load values, to calculate optimum decision variable values for each wind turbine. The method also includes transmitting the optimum decision variable values to the respective wind turbines. In addition, the method includes applying the optimum decision variable values to the respective wind turbines to achieve the optimization objective. Systems and non-transitory computer readable medium configured to perform the method for optimizing one or more farm-level metrics in a wind farm are also presented.

Methods and systems for optimizing farm-level metrics in a wind farm

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Bengaluru, India

Akshay Ambekar