CN108879767B - High voltage ride through control method, device and system for wind generating set - Google Patents
High voltage ride through control method, device and system for wind generating set Download PDFInfo
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Abstract
The invention discloses a high voltage ride through control method, a device and a system for a wind generating set, wherein the method comprises the following steps: the regional power grid controller sends a high voltage ride through control instruction when the power grid voltage is higher than a preset threshold value; the wind power plant central controller carries out priority sequencing on the predicted power values of the wind generating sets from large to small, and generates and sends first and second high voltage ride through control signals; the first high voltage ride through control signal is used for controlling the wind generating set with the first N-bit priority to operate in a preset high voltage ride through operation strategy when the grid voltage is higher than a preset threshold value; the second high voltage ride through control signal is used for controlling other wind generating sets to run off line when the voltage of the power grid is higher than a preset threshold value; and the controller of the wind generating set receives the first or second high voltage ride through control signal and carries out corresponding control action. The implementation of the invention can ensure the normal operation of the power grid with the minimum software and hardware cost of high voltage ride through at each fan side.
Description
Technical Field
The invention relates to the field of wind driven generators, in particular to a high voltage ride through control method, device and system for a wind driven generator set.
Background
With the development of social economy, electric power resources have become necessities of life of people. In addition to the conventional thermal power generation and hydroelectric power generation, the emerging wind power generation and nuclear power generation play important roles. Because wind power generation has the advantages of cleanness, reproducibility, no damage to geographical environment and the like, the wind power generation is more and more widely applied. However, since wind power has an unstable characteristic, control of wind power generation is also particularly critical.
The wind driven generator set is an important tool for collecting wind energy and converting the wind energy into electric energy. For the wind turbine generator, the voltage working condition of the power grid where the wind turbine generator is located directly affects the working state of the wind turbine generator, in the prior art, when the voltage on the power grid side rises sharply, the power grid injects a certain reverse power into the wind turbine generator, that is, the reverse active power injected into the wind turbine generator by the power grid, and the existence of the reverse active power injected into the wind turbine generator by the power grid causes the voltage on the direct current side to rise sharply. The power which can be stored by the voltage stabilizing capacitor on the direct current side is fixed, namely, the active power of the direct current bus has a threshold value. When the voltage of the direct current side exceeds a threshold value, the voltage stabilizing capacitor of the direct current side is damaged, and then the wind generating set is stopped to impact a power grid. Therefore, it is necessary to ensure that the dc side Voltage is below the threshold value, and enable the wind turbine generator system to bear the grid side High Voltage within a specified time, i.e. to realize the High Voltage Ride Through (HVRT) function of the wind turbine generator system. In the prior art, a high voltage ride through function of a wind generating set is generally realized in a manner of capacity increase of a direct current side energy consumption circuit. In addition, the grid-side inverter of the converter can operate under a certain high-voltage condition by improving the voltage of the direct-current bus, or the reactive current is output to the converter, so that voltage drop is formed on the impedance of the power grid by utilizing the reactive current, and the requirement for improving the voltage of the direct-current bus is reduced.
The centralized access of large-scale wind turbines brings many new problems to the power system, wherein high voltage ride through capability is a very important item. High voltage ride through capability is required for various types of wind generating sets. For example, the permanent magnet direct-drive fan adopts a variable-speed constant-frequency wind power generation technology of directly driving a multi-pole low-speed permanent magnet synchronous generator without a speed-up gear box and an impeller, the fan is connected to the grid through a full-power converter, complete decoupling of the generator and a power grid is realized, and the grid connection characteristic of the fan mainly depends on the technical performance of the power grid side of the converter.
The high voltage ride through capability of the existing permanent magnet direct drive unit is mainly embodied in two aspects: 1) during the high voltage ride through period, active power balance is kept through the braking units connected in parallel with the direct current bus; 2) during high voltage ride through, the grid-side converter supports grid voltage recovery by outputting reactive current. The existing control strategy for wind power generation is as follows: under the normal operation state, the variable flow controller provides reactive current for the power grid according to the instruction of a main controller of the wind generating set. When the power grid fails and high voltage ride through is executed, the instruction of the main controller is cut off, and the variable current controller directly sends reactive current to the power grid according to the drop degree of the terminal voltage of the wind generating set so as to help to recover the voltage of the power grid. When the fault is cleared, the reactive current output by the variable current controller drops to zero instantly.
At present, the high voltage ride through capability requires that each wind generating set meets corresponding requirements, that is, each wind generating set needs to match with responding hardware and software resources, and a corresponding high voltage ride through strategy needs to be operated each time the high voltage of a power grid occurs, so as to consume the corresponding hardware and software resources. However, for the power grid, as long as the wind turbine generators do not have to be disconnected in a large area when high voltage occurs, excessive impact on the power grid cannot occur, and the wind turbine generators can normally operate when the voltage returns to normal.
Therefore, it is urgently needed to provide a high voltage ride through control method, device and system for a wind turbine generator system, which can ensure normal operation of a power grid when the voltage of the power grid is higher than a preset threshold value at the lowest software and hardware cost of high voltage ride through at each fan side.
Disclosure of Invention
In view of this, the present invention aims to provide a high voltage ride through control method, device and system for a wind turbine generator system, so as to implement the minimum software and hardware cost of high voltage ride through on each wind turbine side, and ensure the normal operation of the grid when the grid voltage is higher than a preset threshold.
Specifically, the invention provides a high voltage ride through control method for a wind generating set, which comprises the following steps:
the regional power grid controller senses the voltage fluctuation condition of a power grid in real time and sends a high voltage ride through control command when the voltage of the power grid is higher than a preset threshold value, wherein the high voltage ride through control command comprises a lowest power value of each wind power plant when the voltage of the power grid is higher than the preset threshold value according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional power grid;
the central controller of the wind power plant receives the high voltage ride through control instruction sent by the regional power grid controller, inputs wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a corresponding predicted power value of each wind generating set in the wind power plant, performs priority ordering on the predicted power values of each wind generating set in the wind power plant according to the ascending to the descending, and generates and sends a first high voltage ride through control signal and a second high voltage ride through control signal according to the ordering result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
and the controller of the wind generating set receives the first high voltage ride through control signal or the second high voltage ride through control signal and carries out corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal.
Further, the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set; the power prediction model is a machine learning model.
Further, the input information of the power prediction model comprises the wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set.
Further, the machine learning model is a neural network model.
Specifically, the invention provides a high voltage ride through control device of a wind generating set, which comprises: the control instruction receiving module is used for receiving a high voltage ride through control instruction sent by the regional power grid controller when the power grid voltage is higher than a preset threshold value; the high voltage ride through control command comprises a minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value, wherein the minimum power value is determined according to the output function of each wind power plant and the total power required for maintaining the stability of the regional power grid; the power prediction module is used for inputting the wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a prediction power value corresponding to each wind generating set in the wind power plant; the priority ranking module is used for performing priority ranking on the predicted power values of the wind generating sets in the wind power plant from large to small; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant; the high voltage ride through control signal generation module is used for generating a first high voltage ride through control signal and a second high voltage ride through control signal, wherein the first high voltage ride through control signal is used for controlling the wind generating set with the front N bits of priority not to be off-grid when the voltage of a power grid is higher than a preset threshold value, and the wind generating set is operated by a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; and the control signal sending module is used for sending the first high voltage ride through control signal to the controller of the wind generating set with the first N-bit priority, and sending the second high voltage ride through control signal to other wind generating sets except the wind generating set with the first N-bit priority.
Further, the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set; the power prediction model is a machine learning model.
Further, the input information of the power prediction model comprises the wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set.
Further, the machine learning model is a neural network model.
Further, the wind generating set high voltage ride through control device is arranged in a wind power plant central controller.
The invention provides a high voltage ride through control system of a wind generating set, which comprises: the regional power grid controller is used for sensing the voltage fluctuation condition of the power grid in real time and sending a high voltage ride through control command when the voltage of the power grid is higher than a preset threshold value, wherein the high voltage ride through control command comprises a lowest power value of each wind power plant when the voltage of the power grid is higher than the preset threshold value, which is determined according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional power grid; the wind generating set high voltage ride through control device is used for receiving the high voltage ride through control instruction sent by the regional power grid controller, inputting wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a predicted power value corresponding to each wind generating set in the wind power plant, carrying out priority ordering on the predicted power values of each wind generating set in the wind power plant according to the descending order, and generating and sending a first high voltage ride through control signal and a second high voltage ride through control signal according to the ordering result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant; and the controller of the wind generating set is used for receiving the first high voltage ride through control signal or the second high voltage ride through control signal and carrying out corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal.
According to the high voltage ride through control method, device and system of the wind generating set, the minimum power value of each wind power plant when the voltage of the power grid is higher than a preset threshold value is determined through the regional power grid controller according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional power grid; then, a central controller of the wind power plant receives a high voltage ride through control instruction which comprises the corresponding lowest power value and is sent by a regional power grid controller, wind resource information sensed by each wind generating set in the corresponding wind power plant is input into a pre-trained power prediction model, the corresponding predicted power value of each wind generating set in the wind power plant is obtained, and the predicted power values of each wind generating set in the wind power plant are prioritized from big to small; the field level controller controls the wind generating sets with the first N priority levels to be disconnected when the grid voltage is higher than a preset threshold value, the wind generating sets are operated by a preset high voltage ride-through operation strategy, and other wind generating sets except the wind generating sets with the first N priority levels are controlled to be disconnected when the grid voltage is higher than the preset threshold value; since the predicted power value of the wind generating sets with the first N priority levels when the grid voltage is higher than the preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant, the wind generating sets with the front N positions in priority are controlled not to be disconnected when the voltage of the power grid is higher than a preset threshold value, so that the corresponding wind power plant can be ensured to be normal when the power grid is recovered, the power value which can be normally output is the corresponding lowest power value, and each wind power plant outputs the corresponding lowest power value, so that for a regional power grid, the total power required by the stability of the regional power grid can be maintained when the voltage returns to normal, so that the stability of the regional power grid is ensured, after each regional power grid is kept stable, the whole electric field can be kept stable, the software and hardware cost of passing through by using the minimum high voltage at each fan side is realized, and the normal operation of the power grid is ensured when the voltage of the power grid is higher than a preset threshold value.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention. In the drawings, like reference numerals are used to indicate like elements. The drawings in the following description are directed to some, but not all embodiments of the invention. For a person skilled in the art, other figures can be derived from these figures without inventive effort.
Fig. 1 is a schematic flow chart of a high voltage ride through control method for a wind turbine generator system according to an embodiment of the present invention;
fig. 2 is a block diagram of a high voltage ride through control device of a wind turbine generator system according to an embodiment of the present invention;
fig. 3 is a block diagram illustrating a high voltage ride through control system of a wind turbine generator system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. It should be noted that the embodiments and features of the embodiments in the present application may be arbitrarily combined with each other without conflict.
The following describes a wind turbine generator system high voltage ride through control method, device and system in detail with reference to the accompanying drawings.
Referring to fig. 1, a method for controlling a high voltage ride through of a wind turbine generator system according to an embodiment of the present invention includes:
the first step is as follows: the method comprises the following steps that a regional power grid controller (which can be understood as a controller in a (pre-divided) power grid substation in a certain region, such as a power grid controller in the north China) senses the voltage fluctuation condition of a power grid in real time and sends a high-voltage ride-through control command when the power grid voltage is higher than a preset threshold, wherein the high-voltage ride-through control command comprises a lowest power value of each wind power plant when the power grid voltage is higher than the preset threshold according to the output function capability of each wind power plant and the total power required for maintaining the regional power grid stable;
the second step is that: the central controller of the wind power plant receives the high voltage ride through control instruction sent by the regional power grid controller, inputs wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a corresponding predicted power value of each wind generating set in the wind power plant, performs priority ordering on the predicted power values of each wind generating set in the wind power plant according to the ascending to the descending, and generates and sends a first high voltage ride through control signal and a second high voltage ride through control signal according to the ordering result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
the third step: and the controller of the wind generating set receives the first high voltage ride through control signal or the second high voltage ride through control signal and carries out corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal.
Further, the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set; the power prediction model is a machine learning model.
Further, the input information of the power prediction model comprises the wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set. In addition, the power factors affecting the wind turbine generator system further include: speed and accuracy of yaw. Speed means that the wind direction changes, but the speed of yawing to align to the new wind direction is slow, also affecting the power. The accuracy also includes the accuracy of the wind vane. The torque and speed are not matched, i.e., are close to the optimum tip speed ratio. The performance and following response precision of the paddle regulation are reduced, wind is reduced, and the paddle opening is slow, so that the power is also influenced. The accuracy of the rotating speed measurement is realized because the torque PID and the paddle angle PID are calculated according to the rotating speed value. In addition, the aerodynamic performance of the blades themselves also affects the output power of the wind turbine.
Further, the machine learning model is a neural network model, and the type of the specific neural network is not limited. The method comprises the steps of taking wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set at each historical moment as input of a neural network, taking an output power value of the wind generator set corresponding to the historical moment as output of the neural network, training to obtain parameters of each layer of the neural network, and further taking the trained neural network as a trained power prediction model. And taking the real-time wind resource information, the yaw speed information, the pitch adjustment information, the blade pneumatic information and the vibration information of the fan generator set as the input of a trained neural network, and taking the output of the trained neural network as the predicted power value of each wind generator set obtained by real-time prediction.
First, in the first step, the power output of each wind farm may be determined according to the rated output power of each wind generating set and the number of wind generating sets of the wind farm, for example, the rated output power of each wind generating set is 1.5MW, the number of wind generating sets of the wind farm is 20, and the power output capacity (total rated output power) of the wind farm is 1.5 × 20 — 30 MW. The regional power grid controller may be a controller of a regional power grid site, and determines the total power required to maintain the stability of the regional power grid according to a certain proportion according to the rated output power of each wind farm under the regional power grid. For example, 10 wind farms are connected to the regional power grid (if the total rated power is 450MW, the rated power of each wind farm is 30MW, 60 MW). If the regional power grid is stable at a rate of 85% (this rate may be determined from historical data or empirically, but may of course be determined by optimization calculations based on existing machine learning methods), the total power required to maintain the stability of the regional power grid is 450MW 85% — 382.5 MW. The total power can be shared according to the proportion of rated power of each wind power plant, and the lowest power value of each wind power plant when the grid voltage is higher than a preset threshold value is 25.5MW, 51MW and 51MW respectively.
Secondly, in the second step, the real-time output power value of each wind generating set can be predicted in real time according to the current wind resource information, and preferably, other information such as vibration information and turbulence information of the wind generating sets can be considered, so as to predict the real-time output power value more accurately. The power prediction model may specifically select various existing machine learning algorithms, such as a neural network, and train to obtain a relationship between an output value and an input value through historical data (wind speed, wind direction, turbulence, vibration information, and the like are used as inputs of the power prediction model, and real-time output power of the wind turbine generator system is used as an output of the model). Therefore, in the actual operation process, the real-time output power of the wind generating sets can be obtained by only taking the wind speed, the wind direction, the turbulence, the vibration information and the like obtained through real-time sensing as the input of the power prediction model, and the predicted power values of the wind generating sets in the wind power plant are prioritized from large to small. For example, for a first wind farm (the rated output power of each wind generating set is 1.5MW, and the number of wind generating sets of the wind farm is 20), the minimum power value is 25.5MW when the grid voltage is higher than the preset threshold, if the real-time output power of 1-20 wind generating sets is predicted by the power prediction model to be 1.48MW (1 st station), 1.41MW (2 nd station), 1.43MW (3 rd station), 1.48MW (4 th station), 1.41MW (5 th station), 1.42MW (6 th station), 1.48MW (7 th station), 1.41MW (8 th station), 1.38MW (9 th station), 1.25MW (10 th station), 1.48MW (11 th station), 1.41MW (12 th station), 1.43MW (13 th station), 1.48MW (14 th station), 1.41MW (15 th station), 1.42MW (16 th station), 1.48MW (18 th station), 1.19 MW) respectively, 1.25MW (stage 20). The priority of each wind generating set is: 1.48MW (stage 1), 1.48MW (stage 4), 1.48MW (stage 7), 1.48MW (stage 11), 1.48MW (stage 14), 1.48MW (stage 17), 1.43MW (stage 3), 1.43MW (stage 13), 1.42MW (stage 6), 1.42MW (stage 16), 1.41MW (stage 2), 1.41MW (stage 5), 1.41MW (stage 8), 1.41MW (stage 12), 1.41MW (stage 15), 1.41MW (stage 18), 1.38MW (stage 9), 1.38MW (stage 19), 1.25MW (stage 10), 1.25MW (stage 20). The total real-time output power preset by the wind generating set at the 18 th place is 25.8MW, so that a first control instruction is sent to the wind generating set at the 18 th place in the third step, the wind generating set is operated according to a preset high-voltage ride-through operation strategy (see the existing high-voltage ride-through operation strategy), and the wind generating set at the 19 th place and the wind generating set at the 20 th place can be operated in a off-line mode when the power grid voltage is higher than a preset threshold value, hardware and software resources configured for the high-voltage ride-through function in the wind generating set are not consumed, the service life of the hardware and software resources configured for the high-voltage ride-through function is prolonged, the minimum software and hardware cost of high-voltage ride-through on each fan side is realized, and the normal operation of the power grid is ensured when the power grid voltage is higher than the preset threshold value.
In the embodiment, the minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value is determined by the regional grid controller according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional grid; then, a central controller of the wind power plant receives a high voltage ride through control instruction which comprises the corresponding lowest power value and is sent by a regional power grid controller, wind resource information sensed by each wind generating set in the corresponding wind power plant is input into a pre-trained power prediction model, the corresponding predicted power value of each wind generating set in the wind power plant is obtained, and the predicted power values of each wind generating set in the wind power plant are prioritized from big to small; the field level controller controls the wind generating sets with the first N priority levels to be disconnected when the grid voltage is higher than a preset threshold value, the wind generating sets are operated by a preset high voltage ride-through operation strategy, and other wind generating sets except the wind generating sets with the first N priority levels are controlled to be disconnected when the grid voltage is higher than the preset threshold value; since the predicted power value of the wind generating sets with the first N priority levels when the grid voltage is higher than the preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant, the wind generating sets with the front N positions in priority are controlled not to be disconnected when the voltage of the power grid is higher than a preset threshold value, so that the corresponding wind power plant can be ensured to be normal when the power grid is recovered, the power value which can be normally output is the corresponding lowest power value, and each wind power plant outputs the corresponding lowest power value, so that for a regional power grid, the total power required by the stability of the regional power grid can be maintained when the voltage returns to normal, so that the stability of the regional power grid is ensured, after each regional power grid is kept stable, the whole electric field can be kept stable, the software and hardware cost of passing through by using the minimum high voltage at each fan side is realized, and the normal operation of the power grid is ensured when the voltage of the power grid is higher than a preset threshold value.
Referring to fig. 2, an embodiment of the present invention provides a wind turbine generator set high voltage ride through control device 200, and the explanation of the method shown in fig. 1 can be applied to this embodiment, and the wind turbine generator set high voltage ride through control device 200 includes:
a control instruction receiving module 201, configured to receive a high voltage ride through control instruction sent by a regional power grid controller when a power grid voltage is higher than a preset threshold; the high voltage ride through control command comprises a minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value, wherein the minimum power value is determined according to the output function of each wind power plant and the total power required for maintaining the stability of the regional power grid;
the power prediction module 203 is used for inputting the wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a predicted power value corresponding to each wind generating set in the wind power plant;
the priority ranking module is used for performing priority ranking on the predicted power values of the wind generating sets in the wind power plant from large to small; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
the high voltage ride through control signal generation module is used for generating a first high voltage ride through control signal and a second high voltage ride through control signal, wherein the first high voltage ride through control signal is used for controlling the wind generating set with the front N bits of priority not to be off-grid when the voltage of a power grid is higher than a preset threshold value, and the wind generating set is operated by a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value;
and the control signal sending module 209 is configured to send the first high voltage ride through control signal to the controller of the wind turbine generator set with the first N priorities, and send the second high voltage ride through control signal to another wind turbine generator set except the wind turbine generator set with the first N priorities.
Further, the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set; the power prediction model is a machine learning model. For the density of wind, the density is small when the wind speed is the same, the wind power is small, and the output power of the wind generating set is smaller. Turbulence diminishes the forces of wind that can act.
Further, the input information of the power prediction model comprises the wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set. In addition, the power factors affecting the wind turbine generator system further include: speed and accuracy of yaw. Speed means that the wind direction changes, but the speed of yawing to align to the new wind direction is slow, also affecting the power. The accuracy also includes the accuracy of the wind vane. The torque and speed are not matched, i.e., are close to the optimum tip speed ratio. The performance and following response precision of the paddle regulation are reduced, wind is reduced, and the paddle opening is slow, so that the power is also influenced. The accuracy of the rotating speed measurement is realized because the torque PID and the paddle angle PID are calculated according to the rotating speed value. In addition, the aerodynamic performance of the blades themselves also affects the output power of the wind turbine.
Further, the machine learning model is a neural network model, and the type of the specific neural network is not limited. The method comprises the steps of taking wind resource information, yaw speed information, pitch adjustment information, blade pneumatic information and vibration information of a fan generator set at each historical moment as input of a neural network, taking an output power value of the wind generator set corresponding to the historical moment as output of the neural network, training to obtain parameters of each layer of the neural network, and further taking the trained neural network as a trained power prediction model. And taking the real-time wind resource information, the yaw speed information, the pitch adjustment information, the blade pneumatic information and the vibration information of the fan generator set as the input of a trained neural network, and taking the output of the trained neural network as the predicted power value of each wind generator set obtained by real-time prediction.
Preferably, the wind generating set high voltage ride through control device is arranged in a wind farm central controller.
In the embodiment, the minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value is determined by the regional grid controller according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional grid; then, a central controller of the wind power plant receives a high voltage ride through control instruction which comprises the corresponding lowest power value and is sent by a regional power grid controller, wind resource information sensed by each wind generating set in the corresponding wind power plant is input into a pre-trained power prediction model, the corresponding predicted power value of each wind generating set in the wind power plant is obtained, and the predicted power values of each wind generating set in the wind power plant are prioritized from big to small; the field level controller controls the wind generating sets with the first N priority levels to be disconnected when the grid voltage is higher than a preset threshold value, the wind generating sets are operated by a preset high voltage ride-through operation strategy, and other wind generating sets except the wind generating sets with the first N priority levels are controlled to be disconnected when the grid voltage is higher than the preset threshold value; since the predicted power value of the wind generating sets with the first N priority levels when the grid voltage is higher than the preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant, the wind generating sets with the front N positions in priority are controlled not to be disconnected when the voltage of the power grid is higher than a preset threshold value, so that the corresponding wind power plant can be ensured to be normal when the power grid is recovered, the power value which can be normally output is the corresponding lowest power value, and each wind power plant outputs the corresponding lowest power value, so that for a regional power grid, the total power required by the stability of the regional power grid can be maintained when the voltage returns to normal, so that the stability of the regional power grid is ensured, after each regional power grid is kept stable, the whole electric field can be kept stable, the software and hardware cost of passing through by using the minimum high voltage at each fan side is realized, and the normal operation of the power grid is ensured when the voltage of the power grid is higher than a preset threshold value.
Referring to fig. 3, another wind turbine generator system high voltage ride through control system according to an embodiment of the present invention, the method shown in fig. 1 and the explanation of the apparatus shown in fig. 2 may be applied to this embodiment, and the wind turbine generator system high voltage ride through control system 300 includes: a regional grid controller 301, the wind turbine generator system high voltage ride through control device 200, and a wind turbine generator system controller 303;
the regional power grid controller 301 is configured to sense a power grid voltage fluctuation condition in real time, and send a high voltage ride through control command when the power grid voltage is higher than a preset threshold, where the high voltage ride through control command includes a lowest power value of each wind farm when the power grid voltage is higher than the preset threshold, which is determined according to the output functional power of each wind farm and the total power required to maintain the stability of the regional power grid;
the wind generating set high voltage ride through control device 200 is configured to receive the high voltage ride through control instruction sent by the local grid controller, input wind resource information sensed by each wind generating set in the corresponding wind farm into a pre-trained power prediction model, obtain a predicted power value corresponding to each wind generating set in the wind farm, prioritize the predicted power values of each wind generating set in the wind farm from large to small, and generate and send a first high voltage ride through control signal and a second high voltage ride through control signal according to a ranking result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating sets with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power of the corresponding wind power plant;
the controller 303 of the wind generating set is configured to receive the first high voltage ride through control signal or the second high voltage ride through control signal, and perform a corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal.
In the embodiment, the minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value is determined by the regional grid controller according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional grid; then, a central controller of the wind power plant receives a high voltage ride through control instruction which comprises the corresponding lowest power value and is sent by a regional power grid controller, wind resource information sensed by each wind generating set in the corresponding wind power plant is input into a pre-trained power prediction model, the corresponding predicted power value of each wind generating set in the wind power plant is obtained, and the predicted power values of each wind generating set in the wind power plant are prioritized from big to small; the field level controller controls the wind generating sets with the first N priority levels to be disconnected when the grid voltage is higher than a preset threshold value, the wind generating sets are operated by a preset high voltage ride-through operation strategy, and other wind generating sets except the wind generating sets with the first N priority levels are controlled to be disconnected when the grid voltage is higher than the preset threshold value; since the predicted power value of the wind generating sets with the first N priority levels when the grid voltage is higher than the preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant, the wind generating sets with the front N positions in priority are controlled not to be disconnected when the voltage of the power grid is higher than a preset threshold value, so that the corresponding wind power plant can be ensured to be normal when the power grid is recovered, the power value which can be normally output is the corresponding lowest power value, and each wind power plant outputs the corresponding lowest power value, so that for a regional power grid, the total power required by the stability of the regional power grid can be maintained when the voltage returns to normal, so that the stability of the regional power grid is ensured, after each regional power grid is kept stable, the whole electric field can be kept stable, the software and hardware cost of passing through by using the minimum high voltage at each fan side is realized, and the normal operation of the power grid is ensured when the voltage of the power grid is higher than a preset threshold value.
It will be understood by those skilled in the art that all or part of the steps/units/modules for implementing the embodiments may be implemented by hardware associated with program instructions, and the program may be stored in a computer-readable storage medium, and when executed, the program performs the steps corresponding to the units in the embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. A high voltage ride through control method of a wind generating set is characterized by comprising the following steps:
the regional power grid controller senses the voltage fluctuation condition of a power grid in real time and sends a high voltage ride through control command when the voltage of the power grid is higher than a preset threshold value, wherein the high voltage ride through control command comprises a lowest power value of each wind power plant when the voltage of the power grid is higher than the preset threshold value according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional power grid;
the central controller of the wind power plant receives the high voltage ride through control instruction sent by the regional power grid controller, inputs wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a corresponding predicted power value of each wind generating set in the wind power plant, performs priority ordering on the predicted power values of each wind generating set in the wind power plant according to the ascending to the descending, and generates and sends a first high voltage ride through control signal and a second high voltage ride through control signal according to the ordering result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
the controller of the wind generating set receives the first high voltage ride through control signal or the second high voltage ride through control signal and carries out corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal,
the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set; the power prediction model is a machine learning model;
the input information of the power prediction model comprises wind resource information, yaw speed information, blade adjusting information, blade pneumatic information and vibration information of a fan generator set;
the machine learning model is a neural network model.
2. A wind generating set high voltage ride through control device, characterized by includes:
the control instruction receiving module is used for receiving a high voltage ride through control instruction sent by the regional power grid controller when the power grid voltage is higher than a preset threshold value; the high voltage ride through control command comprises a minimum power value of each wind power plant when the grid voltage is higher than a preset threshold value, wherein the minimum power value is determined according to the output function of each wind power plant and the total power required for maintaining the stability of the regional power grid;
the power prediction module is used for inputting the wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a prediction power value corresponding to each wind generating set in the wind power plant;
the priority ranking module is used for performing priority ranking on the predicted power values of the wind generating sets in the wind power plant from large to small; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
the high voltage ride through control signal generation module is used for generating a first high voltage ride through control signal and a second high voltage ride through control signal, wherein the first high voltage ride through control signal is used for controlling the wind generating set with the front N bits of priority not to be off-grid when the voltage of a power grid is higher than a preset threshold value, and the wind generating set is operated by a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value;
the control signal sending module is used for sending the first high voltage ride through control signal to the controller of the wind generating set with the first N bits of priority and sending the second high voltage ride through control signal to other wind generating sets except the wind generating set with the first N bits of priority,
the wind resource information includes: the method comprises the steps that wind density information, wind speed information, wind direction information and turbulence intensity information are obtained by real-time sensing of each fan generator set;
the power prediction model is a machine learning model, input information of the power prediction model comprises wind resource information, yaw speed information, pitch control information, blade pneumatic information and vibration information of a fan generator set, the machine learning model is a neural network model,
the wind generating set high voltage ride through control device is arranged in a wind power plant central controller.
3. A wind generating set high voltage ride through control system, characterized by comprising: a regional grid controller, a wind park high voltage ride through control apparatus as claimed in claim 2 and a controller for a wind park;
the regional power grid controller is used for sensing the voltage fluctuation condition of the power grid in real time and sending a high voltage ride through control command when the voltage of the power grid is higher than a preset threshold value, wherein the high voltage ride through control command comprises a lowest power value of each wind power plant when the voltage of the power grid is higher than the preset threshold value, which is determined according to the output functional power of each wind power plant and the total power required for maintaining the stability of the regional power grid;
the wind generating set high voltage ride through control device is used for receiving the high voltage ride through control instruction sent by the regional power grid controller, inputting wind resource information sensed by each wind generating set in the corresponding wind power plant into a pre-trained power prediction model to obtain a predicted power value corresponding to each wind generating set in the wind power plant, carrying out priority ordering on the predicted power values of each wind generating set in the wind power plant according to the descending order, and generating and sending a first high voltage ride through control signal and a second high voltage ride through control signal according to the ordering result; the first high voltage ride through control signal is used for controlling the wind generating sets with the first N-bit priority levels to be not disconnected when the voltage of the power grid is higher than a preset threshold value, and the wind generating sets are operated according to a preset high voltage ride through operation strategy; the second high voltage ride through control signal is used for controlling other wind generating sets except the wind generating set with the front N-bit priority to run off line when the voltage of the power grid is higher than a preset threshold value; the predicted power value of the wind generating set with the first N priority levels when the grid voltage is higher than a preset threshold value is larger than or equal to the lowest power value of the corresponding wind power plant;
and the controller of the wind generating set is used for receiving the first high voltage ride through control signal or the second high voltage ride through control signal and carrying out corresponding control action according to the first high voltage ride through control signal or the second high voltage ride through control signal.
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