General Electric Company

General Electric Renovables Espana, S.l.

Ge Vernova Renovables Espana, S.l.

Conner Brooks Shane

Dale Robert Mashtare

Harry Kirk Mathews, Jr

Leonardo Cesar Kammer

Thomas Stephen Markham

Fabiano Daher Adegas

Masoud Abbaszadeh

Matthew Christian Nielsen

Danian Zheng

Till Hoffmann

Samuel David Draper

George Albert Goller

James Henry Madge

Fernando Javier D'Amato

William E Holley

Jignesh Govindlal Gandhi

Pranav Agarwal

Kalpesh Singal

Samuel Davoust

Ameet Shridhar Deshpande

Charudatta Subhash Mehendale

Hullas Sehgal

Xiongzhe Huang

Timothy Botsford Cribbs

Dayu Huang

Justin Barton

Su Liu

Raveendra Penmatsa

Souransu Nandi

Justin Edwin Barton

Junqiang Zhou

Jigar Jayesh Shah

Katherine Derksen Stinson

Adolfo Anta Martinez

Fernando Javier D'amato

Dana Perry Martin

Joji Joykutty

Roger Lewis Fittro

Sebastia Roca Ferrer

Harry Kirk Mathews Jr

William Edwin Holley

The present disclosure is directed to a method for optimizing control of a wind turbine that includes receiving, via a control system, a condition of the wind turbine. The method also includes estimating a current state of the wind turbine using the condition. The method also includes calculating, via a model implemented by the control system, a linearized representation of an operation of the wind turbine for a future time interval following the current state. The method also includes defining an optimization problem to be solved. The method also includes determining a pitch adjustment factor for modifying the current state of the wind turbine. The method also includes calculating, via the optimization solver, an optimized pitch parameter for a rotor blade of the wind turbine. The method also includes adjusting a pitch parameter of the rotor blade to the optimized pitch parameter to improve control.

System and method for optimizing control of a wind turbine

A method for reducing loads acting on a wind turbine includes determining, via a processor, at least one loading condition of the wind turbine resulting from a wind shear condition below a design threshold, determining, via the processor, a rotor speed setpoint of the wind turbine to cause an increase in thrust when the at least one loading condition exceeds a loading threshold; operating the wind turbine based on the rotor speed, and operating a rotor imbalance control module of the wind turbine to at least partially compensate for the at least one loading condition of the wind turbine resulting from the wind shear condition below the design threshold.

System and method for reducing wind turbine loads caused by rotor imbalance

A system and method are provided for controlling a wind turbine. Accordingly, a controller of the wind turbine detects a loss of traction of the slip coupling based on a difference between data indicative of a rotor operating parameter and data indicative of a generator operating parameter. The controller then determines an angle of slip corresponding to the loss of traction as a function of the difference. Based, at least partially on the angle of slip, a degradation value for the slip coupling is determined. A control action is implemented based on the degradation value.

System and method for controlling a wind turbine

An automated method to determine modal characteristics of a wind turbine tower at an offshore location in a continuous manner includes reading one or more sensor data signals, prefiltering the one or more sensor data signals to divide the signals into a plurality of time segments, obtaining a frequency domain representation of each of the plurality of time segments by computing a Power Spectral Density (PSD) of each of the time segments to identify one or more frequency peaks in each of the time segments, assigning a probability to each of the frequency peaks in the PSD of each of the time segments, combining all assigned probabilities and determining the likelihood of the one or more frequency peaks. Also disclosed is an offshore wind turbine tower having a turbine control system utilizing the automated method to determine modal characteristics of the wind turbine.

Wind turbine and method to determine modal characteristics of the wind turbine in a continuous manner

A method for protecting a wind turbine from overloading during operation caused by a fault includes receiving, via a controller, a plurality of pitch signals from a plurality of pitch control mechanisms of a pitch system of the wind turbine, the pitch system configured to rotate a plurality of rotor blades mounted to a rotatable hub of a rotor of the wind turbine about respective pitch axes. Further, the method includes determining a collective pitch rate of the pitch system as a function of the plurality of pitch signals. The method also includes defining a minimum pitch rate threshold that varies with a speed parameter of the wind turbine. Moreover, the method includes receiving a first speed parameter of the wind turbine. In addition, the method includes comparing the collective pitch rate to the minimum pitch rate threshold for the first speed parameter. Thus, the method includes controlling the wind turbine based on the comparison.

System and method for protecting a wind turbine from overloading due to pitch system fault

A system for wind turbine control includes a state dependent quadratic regulator (SDQR) control unit, a linear quadratic regulator (LQR) generating control acceleration commands for wind turbine speed and wind turbine power regulation, an actuator dynamic model computing a gain value for the LQR at predetermined sampling intervals and augmenting the actuator dynamic model with a wind turbine model. The wind turbine model either an analytical linearization model or a precomputed linear model, where the precomputed linear model is selected from a model bank based on a real-time scheduling operation, and the analytical linearization model is computed using an online linearization operation in real-time at time intervals during operation of the wind turbine based on current wind turbine operating point values present at about the time of linearization. A method and a non-transitory medium are also disclosed.

System and method for wind turbine multivariable control using state dependent quadratic regulator

Methods, apparatus, systems and articles of manufacture are disclosed to provide wind turbine control and compensate for wind induction effects. An example method includes receiving wind speed data from a Light Detecting and Ranging (LIDAR) sensor. The example method includes receiving operating data indicative of wind turbine operation. The example method includes determining an apriori induction correction for wind turbine operating conditions with respect to the LIDAR wind speed data based on the operating data. The example method includes estimating a wind signal from the LIDAR sensor that is adjusted by the correction. The example method includes generating a control signal for a wind turbine based on the adjusted LIDAR estimated wind signal.

Systems and methods to correct induction for LIDAR-assisted wind turbine control

The present subject matter is directed to a system and method for sequencing Light Detecting and Ranging (LIDAR) sensor beam signals from a LIDAR sensor mounted on a nacelle of a wind turbine with the rotor position of the wind turbine so as to improve signal availability. More specifically, the method includes generating, via the LIDAR sensor, one or more laser signals towards the rotor of the wind turbine, the rotor having one or more rotor blades. The method also includes receiving, via a controller, a rotor position of the rotor of the wind turbine. Thus, the method further includes coordinating, via a control algorithm programmed within the controller, the rotor position with the one or more laser signals of the laser sensor so as to minimize interference between the laser signal(s) and the rotor blades during rotation of the rotor.

System and method for improving LIDAR sensor signal availability on a wind turbine

A system for determining identity information corresponding to an electrically operable machine is disclosed, where the electrically operable machine receives electricity from a power supply port. The system includes at least one sensor to generate a signal indicative of the electricity being drawn by the electrically operable machine from the power supply port. The system further includes a controller communicatively coupled to the at least one sensor and configured to determine the identity information corresponding to the electrically operable machine based on one or more electrical characteristics of the signal sensed by the at least one sensor. Method and non-transitory computer readable media for determining the identity of the electrically operable vehicle are also disclosed. Moreover, a system for controlling charging of a vehicle that is operated at least partially by the electricity is also disclosed.

System and method for determining identity information of an electrically operable machine

A system and method for reducing oscillation loads of a wind turbine induced by high turbulence and/or combined with other environmental conditions are provided. The method includes determining at least one wind parameter at the wind turbine; monitoring an operating condition of the wind turbine; determining, by a processor, a variance of at least one of the monitored operating condition or a plurality of the wind parameters, wherein the variance is indicative of an oscillation occurring at one or more wind turbine components; determining, by a processor, an operating set point based on the variance; and, operating the wind turbine based on the operating set point when the variance indicates that the oscillation has a frequency within a certain frequency band so as to modify the frequency, wherein the modified frequency is outside of the frequency band and reduces oscillation loads occurring at the one or more wind turbine components.

System and method for reducing oscillation loads of wind turbine

Systems and methods for monitoring wind turbine loading are provided. In one embodiment, a system includes a main shaft, a bedplate, and a gearbox coupled to the main shaft and mounted to the bedplate. The gearbox includes an outer casing and a torque arm extending from the outer casing. The system further includes an isolation mount coupled to the torque arm, and a sensor configured to measure displacement of the torque arm. In another embodiment, a method includes operating the wind turbine, and detecting displacement of a torque arm of a gearbox of the wind turbine. The method further includes calculating a moment for a main shaft of the wind turbine based on the displacement of the torque arm.

System and method for monitoring wind turbine loading

A method for charging plurality of electric vehicles is provided. The method includes determining predicted usage information for the plurality of electric vehicles based on past information for the plurality of vehicles. The predicted usage information, among other information, includes a first total energy needed to be provided to the plurality of vehicles to reach a respective desired state of charge set point. The method further includes optimizing power to be provided to the plurality of vehicles to generate an optimal power requirement plan based on a first cost incurred to charge the vehicles with the first total energy. Furthermore, the method includes scheduling charging of the plurality of vehicles through at least one charging station according to the optimal power requirement plan and a priority associated with each of the plurality of vehicles.

Method and system for charging of electric vehicles

Growing community of inventors

Glenville, NY, United States of America

Conner Brooks Shane