Patent Description:
Wind power is considered one of the cleanest, most environmentally friendly energy sources presently available, and wind turbines have gained increased attention in this regard. A modern wind turbine typically includes a tower, generator, gearbox, nacelle, and one or more rotor blades. The rotor blades capture kinetic energy of wind using known airfoil principles. For example, rotor blades typically have the cross-sectional profile of an airfoil such that, during operation, air flows over the blade producing a pressure difference between the sides. Consequently, a lift force, which is directed from a pressure side towards a suction side, acts on the blade. The lift force generates torque on the main rotor shaft, which is geared to a generator for producing electricity. In addition, a plurality of the wind turbines may be arranged in a predetermined geological location and electrically connected together to form a wind farm.

During operation, wind impacts the rotor blades of the wind turbine and the blades transform wind energy into a mechanical rotational torque that rotatably drives a low-speed shaft. The low-speed shaft is configured to drive the gearbox that subsequently steps up the low rotational speed of the low-speed shaft to drive a high-speed shaft at an increased rotational speed. The high-speed shaft is generally rotatably coupled to a generator so as to rotatably drive a generator rotor. As such, a rotating magnetic field may be induced by the generator rotor and a voltage may be induced within a generator stator that is magnetically coupled to the generator rotor. In certain configurations, the associated electrical power can be transmitted to a turbine transformer that is typically connected to a power grid via a grid breaker. Thus, the turbine transformer steps up the voltage amplitude of the electrical power such that the transformed electrical power may be further transmitted to the power grid.

In many wind turbines, the generator rotor may be electrically coupled to a bidirectional power converter that includes a rotor side converter joined to a line side converter via a regulated DC link. More specifically, some wind turbines, such as wind-driven doubly-fed induction generator (DFIG) systems or full power conversion systems, may include a power converter with an AC-DC-AC topology.

The DFIG can be configured to provide both active or real power (measured in Watts) and reactive power (measured in VARs). For example, by controlling the rotor side converter, the real and reactive power generated by the stator can be controlled. Similarly, by controlling the line side converter, the real and reactive power generated by the line side converter can be controlled. Thus, the combined amount of reactive power generated by the DFIG wind turbine system can be controlled to meet a reactive power production requirement, such as a reactive power production requirement set by a dispatch control system of a utility company. In a typical configuration, the stator of a DFIG can be configured to supply the reactive power for the system unless the stator runs out of current margin, in which case, the line side converter can be used to help make reactive power to meet the reactive power production requirement.

Patent publications <CIT>, <CIT>, <CIT> and <CIT> disclose aspects of thermal management of wind turbines in the context of active and/or reactive power control.

In view of the foregoing, it would be advantageous to extend the reactive power capability of a wind farm to meet dynamic requirements.

Various aspects and advantages of the invention will be set forth in part in the following description, or may be clear from the description, or may be learned through practice of the invention.

In one aspect, the present disclosure is directed to a control method for increasing reactive power generation of a wind turbine. The wind turbine has a Doubly-Fed Induction Generator (DFIG). The control method includes obtaining, by a control device having one or more processors and one or more memory devices, wind forecast data of the wind turbine. Further, the method includes generating, by the control device, a real-time thermal model of the DFIG of the wind turbine using the wind forecast data. More specifically, the thermal model defines a thermal capacity for the DFIG of the wind turbine that does not exceed system limits defined by one or more wind turbine components, including but not limited to the DFIG, a power converter of the wind turbine cables, etc. Thus, the method also includes dynamically adjusting, by the control device, a reactive power set point of the DFIG of the wind turbine based on the real-time thermal model of the DFIG of the wind turbine.

In another aspect, the present disclosure is directed to a control system for a wind turbine. The wind turbine includes a Doubly-Fed Induction Generator (DFIG). The control system includes a control device having one or more processors and one or more memory devices. The control device is configured to perform one or more operations, including but not limited to obtaining wind forecast data and one or more active and/or reactive power production maps of the wind turbine, generating, via a physics-based model, a real-time thermal model of the DFIG of the wind turbine using the wind forecast data and the one or more active and/or reactive power production maps, the thermal model defining a thermal capacity for the DFIG of the wind turbine that does not exceed system limits, and dynamically adjusting a reactive power set point of the DFIG of the wind turbine based on the real-time thermal model.

Variations and modifications can be made to these example embodiments of the present disclosure.

Various features, aspects and advantages of the present invention will become better understood with reference to the following description and appended claims.

Generally, example aspects of the present disclosure are directed to systems and methods for increasing reactive power generation of one or more wind turbines in a wind farm. More specifically, with access to accurate wind forecasting data, the control device of the present disclosure generates a real-time thermal model of the electrical subsystem and estimates a thermal profile of different components of the DFIG, such as the stator and the rotor. Additionally, by changing the winding currents of the DFIG, the control device of the present disclosure is configured to estimate the time it takes electrical subsystem to reach its temperature limit in enhanced operating conditions. Thus, in the zone of needed additional reactive power, the stator and rotor current set point can be dynamically adjusted to extract additional reactive power. In addition, when wind turbines of a wind farm are arranged in clusters, each wind turbine or cluster can receive the reactive power set point reference with a record of operating history of connected wind turbines. Therefore, segmented VAR dispatch can be enabled without excessive electrical loading of individual wind turbines. Moreover, records of thermal cycling of the electrical subsystems are configured to provide additional inputs on the remaining life of each wind turbine.

Referring now to the drawings, <FIG> illustrates one embodiment of a wind-driven DFIG wind turbine system <NUM> according to the present disclosure. Example aspects of the present disclosure are discussed with reference to the DFIG wind turbine system <NUM> of <FIG> for purposes of illustration and discussion. Those of ordinary skill in the art, using the disclosures provided herein, should understand that example aspects of the present disclosure are also applicable in other power systems, such as synchronous, asynchronous, permanent magnet, and full-power conversion wind turbines, solar, gas turbine, or other suitable power generation systems.

In the example system <NUM>, a rotor <NUM> includes a plurality of rotor blades <NUM> coupled to a rotating hub <NUM>. The rotor <NUM> is coupled to an optional gearbox <NUM>, which is, in turn, coupled to a generator <NUM>. In accordance with aspects of the present disclosure, the generator <NUM> is a doubly fed induction generator (DFIG) <NUM>.

The DFIG <NUM> can include a rotor and a stator. Further, as shown, the DFIG <NUM> is typically coupled to a stator bus <NUM> and a power converter <NUM> via a rotor bus <NUM>. The stator bus <NUM> provides an output multiphase power (e.g. three-phase power) from a stator of the DFIG <NUM> and the rotor bus <NUM> provides an output multiphase power (e.g. three-phase power) of a rotor of the DFIG <NUM>. Referring to the power converter <NUM>, the DFIG <NUM> is coupled via the rotor bus <NUM> to a rotor side converter <NUM>. The rotor side converter <NUM> is coupled to a line side converter <NUM> which in turn is coupled to a line side bus <NUM>.

In example configurations, the rotor side converter <NUM> and the line side converter <NUM> are configured for normal operating mode in a three-phase, pulse width modulation (PWM) arrangement using insulated gate bipolar transistor (IGBT) or similar switching elements. The rotor side converter <NUM> and the line side converter <NUM> can be coupled via a DC link <NUM> across which is the DC link capacitor <NUM>. In an embodiment, a transformer <NUM>, such as a three-winding transformer, can be coupled to the line bus <NUM>, the stator bus <NUM>, and a system bus <NUM>. The transformer <NUM> can convert the voltage of power from the line bus <NUM> and the stator bus <NUM> to a voltage suitable for providing to an electrical grid <NUM> via system bus <NUM>.

The power conversion system <NUM> can be coupled to a control device <NUM> to control the operation of the rotor side converter <NUM> and the line side converter <NUM>. It should be noted that the control device <NUM>, in typical embodiments, is configured as an interface between the power conversion system <NUM> and a control system <NUM>. In one implementation, the control device <NUM> can include a processing device (e.g. microprocessor, microcontroller, etc.) executing computer-readable instructions stored in a computer-readable medium. The instructions when executed by the processing device can cause the processing device to perform operations, including providing control commands (e.g. pulse width modulation commands) to the switching elements of the power converter <NUM> and other aspects of the wind turbine system <NUM>.

In operation, alternating current power generated at the DFIG <NUM> by rotation of the rotor <NUM> is provided via a dual path to electrical grid <NUM>. The dual paths are defined by the stator bus <NUM> and the rotor bus <NUM>. On the rotor bus side <NUM>, sinusoidal multi-phase (e.g. three-phase) alternating current (AC) power is provided to the power converter <NUM>. The rotor side power converter <NUM> converts the AC power provided from the rotor bus <NUM> into direct current (DC) power and provides the DC power to the DC link <NUM>. Switching elements (e.g. IGBTs) used in bridge circuits of the rotor side power converter <NUM> can be modulated to convert the AC power provided from the rotor bus <NUM> into DC power suitable for the DC link <NUM>.

The line side converter <NUM> converts the DC power on the DC link <NUM> into AC output power suitable for the electrical grid <NUM>, such as AC power synchronous to the electrical grid <NUM>, which can be transformed by the transformer <NUM> before being provided to the electrical grid <NUM>. In particular, switching elements (e.g. IGBTs) used in bridge circuits of the line side power converter <NUM> can be modulated to convert the DC power on the DC link <NUM> into AC power on the line side bus <NUM>. The AC power from the power converter <NUM> can be combined with the power from the stator of DFIG <NUM> to provide multi-phase power (e.g. three-phase power) having a frequency maintained substantially at the frequency of the electrical grid <NUM> (e.g. <NUM>/<NUM>).

The power converter <NUM> can receive control signals from, for instance, the control system <NUM>. The control signals can be based, among other things, on sensed conditions or operating characteristics of the wind turbine system <NUM>. Typically, the control signals provide for control of the operation of the power converter <NUM>. For example, feedback in the form of sensed speed of the DFIG <NUM> can be used to control the conversion of the output power from the rotor bus <NUM> to maintain a proper and balanced multi-phase (e.g. three-phase) power supply. Other feedback from other sensors can also be used by the controller <NUM> to control the power converter <NUM>, including, for example, stator and rotor bus voltages and current feedbacks. Using the various forms of feedback information, switching control signals (e.g. gate timing commands for IGBTs), stator synchronizing control signals, and circuit breaker signals can be generated.

Various circuit breakers and switches, such as a line bus breaker <NUM>, stator bus breaker <NUM>, and grid breaker <NUM> can be included in the system <NUM> to connect or disconnect corresponding buses, for example, when current flow is excessive and can damage components of the wind turbine system <NUM> or for other operational considerations. Additional protection components can also be included in the wind turbine system <NUM>.

Referring now to <FIG>, the wind turbines <NUM> may be arranged together in a common geographical location known as a wind farm <NUM> and connected to the power grid <NUM>. More specifically, as shown, each of the wind turbines <NUM> may be connected to the power grid <NUM> via a main transformer <NUM>. Further, as shown, the clusters <NUM> of wind turbines <NUM> in the wind farm <NUM> may be connected to the power grid <NUM> via a cluster or substation transformer <NUM>. Thus, as shown, the wind farm <NUM> may also include a transformer controller <NUM> and/or an automatic voltage regulator <NUM> (e.g. a tap changer).

Referring now to <FIG> and <FIG>, an alternate implementation of a DFIG wind turbine system <NUM> according to additional example aspects of the present disclosure is illustrated. Elements that are the same or similar to those as in <FIG> are referred to with the same reference numerals. As shown, in some implementations, a stator <NUM> of a DFIG <NUM> can be coupled to a stator bus <NUM>. Power from the power converter <NUM> can be combined with power from stator bus <NUM> and provided to a transformer <NUM>. In some implementations, as shown, the transformer <NUM> can be a two-winding partial transformer. In some implementations, as shown in <FIG>, a plurality of the DFIG wind turbine systems <NUM> may be arranged together in a common geographical location known as a wind farm <NUM>. Further, as shown, a plurality of the DFIG wind turbine systems <NUM> within the wind farm <NUM> can be coupled together in a cluster <NUM> and power from each of the respective clusters <NUM> of DFIG wind turbine systems <NUM> can be provided to a cluster transformer <NUM>, <NUM>, <NUM>, respectively, before power is provided to the power grid. More specifically, as shown, each of the clusters <NUM> may be connected to the separate transformer <NUM>, <NUM>, <NUM> via switches <NUM>, <NUM>, <NUM>, respectively, for stepping up the voltage amplitude of the electrical power from each cluster <NUM> such that the transformed electrical power may be further transmitted to the power grid.

In contrast to conventional systems such as those illustrated in <FIG> and <FIG>, the partial power transformer <NUM> of <FIG> and <FIG> is provided for stepping up the voltage amplitude of the electrical power from the power converter <NUM> such that the transformed electrical power may be further transmitted to the power grid. Thus, as shown, the illustrated system <NUM> does not include the conventional three-winding main transformer described above. Rather, as shown in the illustrated embodiment, the partial power transformer <NUM> may correspond to a two-winding transformer having a primary winding <NUM> connected to the power grid and a secondary winding <NUM> connected to the rotor side converter <NUM>.

In addition, as shown, the transformers <NUM>, <NUM>, <NUM> may be connected to a main line <NUM> that combines the voltage from each cluster <NUM> before sending the power to the grid. Further, as mentioned, each of the clusters <NUM> may be communicatively coupled with a cluster-level controller <NUM> that controls each of the transformers <NUM>, <NUM>, <NUM>. In addition, as shown, the wind farm <NUM> may include one or more automatic voltage regulators (e.g. tap changers <NUM>) arranged with each of the transformers <NUM>, <NUM>, <NUM> and/or one or more reactive power devices <NUM>. For example, as shown, the reactive power devices <NUM> may include any one of the following: a capacitor bank <NUM>, a reactor bank <NUM>, and/or a static synchronous compensator (STATCOM) <NUM>.

In addition, as shown, the wind turbine system <NUM> may include one or more controllers. For example, the system <NUM> may include a farm-level controller <NUM>, one or more cluster-level controllers <NUM>, and/or one or more turbine-level controllers <NUM> (<FIG>). As such, the various controllers described herein are configured to control any of the components of the wind farm <NUM>, the wind turbine clusters <NUM>, and/or the individual wind turbines <NUM> and/or implement the method steps as described herein.

Referring now to <FIG>, a flow diagram of an example method <NUM> for increasing reactive power generation of one or more wind turbines <NUM> in the wind farm <NUM>, <NUM> is illustrated. The method <NUM> can be implemented by a control device and/or control system, such as a control device <NUM> or control system <NUM> depicted in <FIG> or the control device/system <NUM> depicted in <FIG>. In addition, <FIG> depicts steps performed in a particular order for purposes of illustration and discussion. Those of ordinary skill in the art, using the disclosures provided herein, will understand that various steps of any of the methods disclosed herein can be adapted, omitted, rearranged, or expanded in various ways without deviating from the scope of the present disclosure.

As shown at <NUM>, the method <NUM> can include obtaining wind forecast data of the wind turbine(s) <NUM> by the control device <NUM>. For example, as shown in <FIG>, a graph of accurate wind forecast data <NUM> is illustrated. It should be understood that the wind forecast data may include data corresponding to wind speed, wind turbulence, wind gusts, wind direction, wind acceleration, wind shear, wind veer, wake, or any other wind parameter. Further, the control device <NUM> can be operatively connected to one or more sensors, such as one or more wind sensors, and can be configured to receive measurements indicative of various wind conditions in the wind farm <NUM> that can be used to estimate the wind forecast data. In addition, the step of obtaining the wind forecast data of the wind turbine <NUM> may further include calibrating estimated patterns of wind data with actual measured wind data and predicting the wind forecast data based on the calibrations.

Referring back to <FIG>, as shown at <NUM>, the method <NUM> can include generating a real-time thermal model of the DFIG <NUM> of the wind turbine <NUM> using the wind forecast data <NUM>. For example, in one embodiment, the control device <NUM> may generate the real-time thermal model of the DFIG <NUM> of the wind turbine <NUM> using a physics-based model. As used herein, a physics-based model generally refers to a mathematical representation of an object (or its behavior) that incorporates physical characteristics such as forces, torques, and energies into the model, allowing numerical simulation of its behavior. Thus, physics-based models can be used to generate and visualize constrained shapes, motions of rigid and non-rigid objects, and object interactions with the environment. In further embodiments, the method <NUM> may also include assuming the wind forecast data is correct and continuously calibrating the digital model with an actual physical model of the wind turbine <NUM>.

As used herein, the thermal model defines a thermal capacity for the DFIG <NUM> that does not exceed system limits. For example, in certain embodiments, the system limit(s) described herein may include an electrical limitation of a component of one of the wind turbines <NUM> (e.g. voltage, current, etc.), a sizing limitation of a component of one of the wind turbines <NUM> (transformer size, power cabling size, protective sizing, etc.), VAR gain, a predefined reactive power capability, or predefined a real power capability. In another embodiment, the method <NUM> may also include estimating a thermal profile of one or more generator components of the DFIG <NUM> based on the at least one real-time thermal model. For example, in certain embodiments, the generator component(s) of the DFIG <NUM> may include the rotor <NUM>, the stator <NUM>, or any other generator component. Further, in certain embodiments, the method <NUM> may further include obtaining one or more active and/or reactive power production maps of the wind turbine <NUM> and generating the real-time thermal model of the DFIG <NUM> of the wind turbine <NUM> using the wind forecast data <NUM> and the one or more power production maps. Thus, coupled electro-thermal models can provide insight of the thermal gradient of the DFIG <NUM>.

In further embodiments, the method <NUM> may also include changing one or more winding currents of the DFIG <NUM> to get an estimate of the time taken by the DFIG <NUM> to reach a temperature limit. Thus, in such embodiments, the control device <NUM> may incorporate the time taken by the DFIG <NUM> to reach the temperature limit into the thermal model.

In several embodiments, the method <NUM> may also include monitoring a cyclic nature of wind at the wind turbine <NUM>. As such, the method <NUM> may further include determining an estimate of the thermal cycling of the wind turbine <NUM> based on the cyclic nature of the wind. Thus, using the physics-based model, the control device <NUM> may determine a remaining life of the DFIG <NUM> based on the thermal cycling.

In additional embodiments, the method <NUM> may further include incorporating a generator unbalance voltage state into the physics-based model and determining how the generator unbalance voltage state affects a temperature rise of the DFIG <NUM>. The unbalance in generator voltage can result in increased negative sequence current which can result in additional loss and heating up of the DFIG <NUM>.

Referring still to <FIG>, as shown at <NUM>, the method <NUM> can include dynamically adjusting a reactive power set point of the DFIG <NUM> of the wind turbine <NUM> based, at least in part, on the real-time thermal model. For example, as shown in <FIG> the control device <NUM> is configured to adjust the reactive power set point <NUM> (e.g. by increasing or decreasing the reactive power set point) over time based on the real-time thermal model. Thus, as shown in <FIG>, the method <NUM> of the present disclosure extends the reactive power capability of the wind turbine(s) <NUM> (and therefore the wind farm <NUM>, <NUM> where applicable). More specifically, as shown, box <NUM> represents the reactive power of prior art wind turbines, whereas box <NUM> represents the reactive power of wind turbines operated in accordance with the present disclosure.

In further embodiments, where the wind turbine <NUM> is part of a cluster <NUM> of the wind farm <NUM> (<FIG>), the method <NUM> may include evaluating the wind forecast data <NUM> in at least one of the clusters <NUM> of wind turbines <NUM> in the wind farm <NUM>, selecting a first wind turbine <NUM> with remaining reactive power capability using the wind forecast data <NUM> from the cluster <NUM>, and changing a reactive power set point of the first wind turbine for a first predetermined time duration. In another embodiment, the method <NUM> may also include selecting, at least, a second wind turbine having remaining reactive power capability using the wind forecast data <NUM> and changing a reactive power set point of the second wind turbine for a second predetermined time duration that occurs after the first predetermined time duration.

Referring now to <FIG>, a flow chart of another embodiment of a method <NUM> for increasing reactive power generation of one or more wind turbines <NUM> in the wind farm <NUM>, <NUM> according to the present disclosure is illustrated. As shown, the method <NUM> starts at <NUM>. At <NUM>, the method <NUM> includes receiving wind forecast data for the next time block. As shown at <NUM>, the method <NUM> then evaluates the reactive power (VAR) and temperature margins of various wind turbine components of the wind turbines <NUM> (WTGs). As shown at <NUM>, the method <NUM> determines whether there is an opportunity available to dispatch more VARs to the grid. If so, as shown at <NUM>, the method <NUM> then estimates new reactive and active power set points as well as a new time duration and considers both ramp up and ramp down thermal constants for the wind turbine components. As shown at <NUM>, the method <NUM> then executes or sends the new set points for the next block of time. As shown at <NUM>, the method <NUM> obtains similar set points for active and reactive power (and temperature) for the digital model and continues recalibrating for the equilibrium point. As shown at <NUM>, the method <NUM> waits for the next block of time to repeat the algorithm again.

Going back to block <NUM>, if there is no opportunity to dispatch more VAR to the grid, as shown at <NUM>, the method <NUM> obtains the operating set point for the wind turbine power system(s) <NUM>. As shown at <NUM>, the method <NUM> then processes this data through the physics-based digital model. As shown at <NUM>, the method <NUM> obtains a similar set point for reactive and active power (an optionally temperature) for the digital model. As shown at <NUM>, the method <NUM> can then determine whether the digital model verification is successful. If yes, then the method <NUM> returns to block <NUM>. If not, then method <NUM> recalibrates and/or revises the digital model.

<FIG> illustrates an example control device/system <NUM> according to example embodiments of the present disclosure. The control device/system <NUM> can be, for example, a control device <NUM> or a control system <NUM>, and can be associated with an individual wind turbine system, a wind farm (e.g., a cluster-level or farm-level control device) and/or can include one or more control devices associated with aspects of a wind turbine system, such as one or more control devices configured to control a power converter <NUM>. In some embodiments, the one or more control devices <NUM> can include one or more processor(s) <NUM> and one or more memory device(s) <NUM>. The processor(s) <NUM> and memory device(s) <NUM> can be distributed so that they are located at one more locales or with different devices.

The processor(s) <NUM> and memory device(s) <NUM> can be configured to perform a variety of computer-implemented functions and/or instructions (e.g., performing the methods, steps, calculations and the like and storing relevant data as disclosed herein). The instructions when executed by the processor(s) <NUM> can cause the processor(s) <NUM> to perform operations according to example aspects of the present disclosure. For instance, the instructions when executed by the processor(s) <NUM> can cause the processor(s) <NUM> to implement the methods discussed herein.

Additionally, the control device <NUM> can include a communication interface <NUM> to facilitate communications between the control device <NUM> and various components of a wind turbine system, wind farm, or power system, including reactive power production requirements or sensed operating parameters as described herein. Further, the communication interface <NUM> can include a sensor interface <NUM> (e.g., one or more analog-to-digital converters) to permit signals transmitted from one or more sensors <NUM>, <NUM> to be converted into signals that can be understood and processed by the processor(s) <NUM>. It should be appreciated that the sensors (e.g. sensors <NUM>, <NUM>) can be communicatively coupled to the communications interface <NUM> using any suitable means, such as a wired or wireless connection. The signals can be communicated using any suitable communications protocol. The sensors (<NUM>, <NUM>) can be, for example, voltage sensors, current sensors, power sensors, DFIG rotational speed sensors, temperature sensors, or any other sensor device described herein.

As such, the processor(s) <NUM> can be configured to receive one or more signals from the sensors <NUM>, <NUM>. For instance, in some embodiments, the processor(s) <NUM> can receive signals indicative of a voltage or current from the sensor <NUM>. In some embodiments, the processor(s) <NUM> can receive signals indicative of temperature (e.g. DFIG temperature, line side converter temperature) from sensor <NUM>.

As used herein, the term "processor" refers not only to integrated circuits referred to in the art as being included in a computer, but also refers to a control device, a microcontrol device, a microcomputer, a programmable logic control device (PLC), an application specific integrated circuit, and other programmable circuits. Additionally, the memory device(s) <NUM> can generally include memory element(s) including, but not limited to, computer readable medium (e.g., random access memory (RAM)), computer readable non-volatile medium (e.g., a flash memory), a compact disc-read only memory (CD-ROM), a magneto-optical disk (MOD), a digital versatile disc (DVD) and/or other suitable memory elements. Such memory device(s) <NUM> can generally be configured to store suitable computer-readable instructions that, when implemented by the processor(s) <NUM>, configure the control device <NUM> to perform the various functions as described herein.

Although specific features of various embodiments may be shown in some drawings and not in others, this is for convenience only. In accordance with the principles of the present disclosure, any feature of a drawing may be referenced and/or claimed in combination with any feature of any other drawing.

Claim 1:
A control method (<NUM>) for increasing reactive power generation of a wind turbine (<NUM>), the wind turbine (<NUM>) having a Doubly-Fed Induction Generator (DFIG) (<NUM>), the control method comprising:
obtaining (<NUM>), by a control device (<NUM>) having one or more processors (<NUM>) and one or more memory devices (<NUM>), wind forecast data of the wind turbine (<NUM>);
generating (<NUM>), by the control device (<NUM>), a real-time thermal model of the DFIG (<NUM>) of the wind turbine (<NUM>) using the wind forecast data, the thermal model defining a thermal capacity for the DFIG (<NUM>) that does not exceed system limits; and
dynamically adjusting (<NUM>), by the control device (<NUM>), a reactive power set point of the DFIG (<NUM>) of the wind turbine (<NUM>) based on the real-time thermal model;
the control method further comprising obtaining a power production map of the wind turbine (<NUM>) and generating the real-time thermal model of the DFIG (<NUM>) of the wind turbine (<NUM>) using the wind forecast data and the power production map;
the control method further comprising estimating a time taken by the DFIG (<NUM>) to reach a temperature limit by changing one or more winding currents of the DFIG (<NUM>).