Fan power joint standby control method and system, electronic equipment and storage medium

Abstract

The invention provides a fan power joint standby control method and system, electronic equipment and a storage medium, and relates to the technical field of wind turbine generator control and optimization, and the method comprises the steps: building a joint active standby optimization function model of a wind turbine generator; acquiring parameters of the wind turbine generator, and acquiring state quantity of the wind turbine generator in real time; inputting the parameters of the wind turbine generator and the state quantity of the wind turbine generator into the combined active standby optimization function model for solving to obtain a rotating speed # imgabs0 # and a pitch angle # imgabs1 # which enable the small interference stability margin of the fan to be maximum; and the # imgabs2 # and the # imgabs3 # are executed in the wind turbine generator set. According to the method, the operation capability of the wind turbine generator in the weak power grid can be enhanced, so that the wind turbine generator can efficiently operate according to different working conditions, the resource utilization efficiency is improved, and the small interference instability risk and the broadband oscillation risk of the wind turbine generator in the weak power grid can be reduced.

Description

Background Art

[0002] With the continuous growth of the demand for clean energy, a large amount of photovoltaic and wind power is connected to the power grid through grid-connected converters, making the power system show the "double high" trend of "high proportion of renewable energy" and "high proportion of power electronic devices". Different from the power sources of traditional power systems mainly based on synchronous motors, grid-connected converters, as power electronic devices, are dominated by control characteristics and do not have inertia response capabilities. The access of a large number of power electronic devices to the power grid reduces the corresponding level of the system inertia of the power grid and the frequency regulation ability, threatening the safe and stable operation of the power system. Therefore, in a wind farm, in order to ensure the frequency stability of the power system, wind turbines should have primary frequency regulation capabilities after being connected to the power grid.

[0003] Power reserve control is a commonly used frequency regulation control strategy for wind turbines. Existing power reserve control mainly includes rotor overspeed control and pitch angle control. By controlling the speed or pitch angle of the wind turbine, power reduction is achieved to enable it to have power reserves to respond to the frequency changes of the power grid.

[0004] However, with the access of a large amount of renewable energy such as wind power to the power grid through power electronic devices, the equivalent impedance of the power grid decreases, making the power grid show weak grid characteristics, with strong sensitivity to frequency fluctuations, high complexity of frequency control, and high difficulty in controlling voltage stability. The power reserve control strategy of wind turbines does not comprehensively consider various factors affecting the small-signal stability margin of the wind turbine grid-connected system, resulting in unsatisfactory power reserve control effects of wind turbines, limited operating capabilities of wind turbines under weak grids, poor stability, and relatively high risks of small-signal instability and broadband oscillation. Summary of the Invention

[0005] Aiming at the technical problems of the unsatisfactory control effects of the existing power reserve control strategy for wind turbines, limited operating capabilities of wind turbines under weak grids, poor stability, and relatively high risks of small-signal instability and broadband oscillation, the invention provides a combined power reserve control method, system, electronic device and storage medium for wind turbines, which can enhance the operating capabilities of wind turbines under weak grids, enable wind turbines to operate efficiently according to different working conditions, improve resource utilization efficiency, and help reduce the risks of small-signal instability and broadband oscillation of wind turbines under weak grids.

[0006] In the first aspect, the invention provides a combined active power reserve control method for wind turbines, and the steps include: S1. Establish a combined active power reserve optimization function model for the wind turbine; S2. Obtain the parameters of the wind turbine and obtain the state variables of the wind turbine in real time. The state variables of the wind turbine include the current wind speed , air density and the load reduction rate of the wind turbine , load reduction rate It is the ratio between the current power and the optimal power of the wind turbine; S3. Input the wind turbine parameters and the wind turbine status variables into the combined active reserve optimization function model for solution to obtain the rotational speed and the pitch angle that maximize the small-signal stability margin of the wind turbine; S4. Execute and in the wind turbine.

[0007] Furthermore, it should be noted that in step S2, the wind turbine parameters include the wind wheel radius R, the rated rotational speed , the maximum pitch angle .

[0008] Furthermore, it should be noted that the combined active reserve optimization function model of the wind turbine is an aggregated impedance method optimization model. In the aggregated impedance method optimization model, the small-signal stability margin of the wind turbine grid-connected system is expressed as , and the function expression of the aggregated impedance method optimization model is:

[0009] In the formula, are the zeros of the aggregated impedance characteristic polynomial; is the Laplace operator; is the actual rotational angular velocity of the wind turbine; is the optimal rotational angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the power grid, which is a matrix of ; is the impedance model of the wind turbine, which is a matrix of ; is the load shedding rate; is the wind energy utilization coefficient of the wind turbine, which is a function of the tip speed ratio and the pitch angle ; is the tip speed ratio, which is the ratio between the linear velocity of the tip of the wind turbine blade and the wind speed. The expression of ; is the optimal tip speed ratio, The expression of .

[0010] According to another embodiment of the present invention, the combined active power reserve optimization function model of the wind turbine is a generalized Nyquist criterion optimization model. In the generalized Nyquist criterion optimization model, the small-signal stability margin of the wind turbine grid-connected system is expressed as , and the function expression of the generalized Nyquist criterion optimization model is:

[0011] In the formula, is the zero point of the aggregated impedance characteristic polynomial; is the Laplace operator; is the actual rotational angular velocity of the wind turbine; is the optimal rotational angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the power grid, which is a matrix; is the impedance model of the wind turbine, which is a matrix; is the load reduction rate; is the wind energy utilization coefficient of the wind turbine, which is a function of the tip speed ratio and the pitch angle ; is the tip speed ratio, which is the ratio between the linear velocity of the tip of the wind turbine blade and the wind speed, The expression of ; is the optimal tip speed ratio, The expression of .

[0012] Furthermore, it should be noted that, The expression of

[0013] Wherein, is an intermediate variable, are all constants. The steps to determine include: S101. Input different wind speeds, pitch angles, and rotational angular velocities into the wind turbine simulation software to simulate the behavior of the wind turbine under different working conditions, and output the corresponding values to form discrete data points. The wind turbine simulation software includes Bladed, FAST, or HAWC2; S102. Substitute the obtained discrete data points into the expression for parameter fitting to obtain a continuous functional relationship, and further determine the numerical value.

[0014] Furthermore, it should be noted that the specific function of

[0015] is: is the resistance, is the inductance, is the grid synchronous angular velocity, is the Laplace operator; The small-signal impedance model of the wind turbine is obtained by measuring the wind turbine through frequency scanning , The function of

[0016] The operation of measuring the wind turbine through frequency scanning is to inject voltage harmonics from an external voltage disturbance source into the wind turbine inside the grid connection point. When the two injected voltage disturbances are linearly independent, measure the grid connection point voltage , of the wind turbine and the grid connection point current and of the wind turbine. Then the impedance calculation method of the wind turbine is: .

[0017] Furthermore, it should be noted that in step S3, the traversal method is used to solve the combined active reserve optimization function model, and the rotational speed and pitch angle are traversed within the constraint range with a step size that meets the accuracy error to obtain and .

[0018] In a second aspect, the present invention provides a combined reserve control system for wind turbine power, which is used to implement the above-mentioned combined reserve control method for wind turbine power, and includes: An optimization model establishment module, which is used to establish a combined active reserve optimization function model of the wind turbine; A parameter acquisition module, configured to acquire wind turbine parameters and acquire the status variables of the wind turbine in real time; A calculation module, configured to input the wind turbine parameters and the status variables of the wind turbine into a combined active power reserve optimization function, and calculate the rotational speed and pitch angle that maximize the small-signal stability margin of the wind turbine; An execution module, configured to execute the rotational speed and pitch angle that maximize the small-signal stability margin of the wind turbine obtained by the calculation module in the wind turbine.

[0019] In a third aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor is configured to implement the steps of the above-mentioned wind turbine power combined reserve control method when executing the computer program.

[0020] In a fourth aspect, the present invention provides a storage medium, on which a computer program is stored. The computer program is configured to implement the steps of the above-mentioned wind turbine power combined reserve control method when executed by a processor.

[0021] The beneficial effects of the present invention are as follows: 1. The wind turbine power combined reserve control method provided by the present invention can accurately calculate the rotational speed and pitch angle that maximize the small-signal stability margin of the wind turbine by establishing an optimization model and comprehensively considering numerous wind turbine parameters and status variables; adjusting the mechanical parameters of the wind turbine by using the acquired status variables and the calculated optimal parameters can enhance the operation ability of the wind turbine under a weak power grid, enable the wind turbine to operate efficiently according to different working conditions, and improve the resource utilization efficiency.

[0022] 2. The present invention helps the wind turbine to adapt to the change of the power grid frequency, can adjust the output power accordingly when the power grid frequency fluctuates, provides frequency support for the power grid, and reduces the risks of small-signal instability and broadband oscillation of the wind turbine under a weak power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 is a flowchart of the wind turbine power combined reserve control method in an embodiment of the present invention.

[0025] Figure 2 is a schematic block diagram of the wind turbine power combined reserve control system in an embodiment of the present invention.

[0026] Figure 3It is a schematic diagram of the hardware structure of an electronic device in an embodiment of the present invention. Detailed implementation manners

[0027] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0028] The fan power combined reserve control method involved in this application mainly aims at the field of wind turbine control and optimization technology. During the operation of a wind farm, by establishing an optimization model and comprehensively considering numerous wind turbine parameters and state variables, the rotational speed and pitch angle that maximize the small-signal stability margin of the fan can be accurately calculated; adjusting the mechanical parameters of the wind turbine using the obtained state variables and the calculated optimal parameters can enhance the operation ability of the wind turbine under a weak grid, enabling the wind turbine to operate efficiently according to different working conditions, improving resource utilization efficiency, helping the wind turbine to adapt to grid frequency changes, and being able to adjust the output power accordingly when the grid frequency fluctuates, providing frequency support for the grid and reducing the small-signal instability risk and broadband oscillation risk of the wind turbine under a weak grid.

[0029] The fan power combined reserve control method involved in this application mainly aims at the technical problems of the unsatisfactory control effect of the existing wind turbine power reserve control strategy, the limited operation ability of the wind turbine under a weak grid, poor stability, and relatively high small-signal instability risk and broadband oscillation risk.

[0030] The fan power combined reserve control method involved in this application will be described in detail below. For the purpose of illustration rather than limitation, specific details such as specific system structures and technologies are proposed to thoroughly understand the embodiments of this application. However, those skilled in the art should clearly understand that this application can also be implemented in other embodiments without these specific details.

[0031] In the fan power combined reserve control method involved in this application, the term "including" indicates the existence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the existence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations. The terms "including", "comprising", "having" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0032] For the convenience of clearly describing the technical solutions of the present application, terms such as "first" and "second" are used to distinguish identical or similar items with basically the same functions and roles. Those skilled in the art can understand that terms such as "first" and "second" do not limit the quantity and execution order, and "first", "second", etc. do not necessarily mean different.

[0033] Statements such as "an embodiment" or "some embodiments" described in the present application mean that a specific feature, structure, or characteristic described in the embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments" and the like that appear in different places in the present application do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways.

[0034] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0035] The fan power combined standby control method provided by the embodiment of the present invention is executed by a computer device. Correspondingly, the fan power combined standby control system runs in the computer device.

[0036] Figure 1 is a flowchart of the fan power combined standby control method according to an embodiment of the present invention. Among them, Figure 1 The execution subject can be a fan power combined standby control system. According to different requirements, the order of the steps in this flowchart can be changed, and some can be omitted.

[0037] As Figure 1 shown, the fan power combined standby control method includes: Step S1. Establish a combined active power reserve optimization function model for wind turbine generators.

[0038] The aggregated impedance method optimization model or the generalized Nyquist criterion optimization model can comprehensively consider the characteristics of the wind turbine grid-connected system from a system perspective. Among them, the aggregated impedance method optimization model can accurately evaluate the small-signal stability margin of the system by analyzing factors such as the zeros of the aggregated impedance characteristic polynomial, which helps to detect potential instability factors in the system in advance, so as to take corresponding control measures to enhance the system stability. The generalized Nyquist criterion optimization model also aims at the stability margin. Based on the various parameters in its function expression (such as the grid and wind turbine impedance models, rotational angular velocity, pitch angle, etc.), it can comprehensively analyze the dynamic response characteristics of the system under different working conditions, provide a theoretical basis for optimizing the wind turbine control, enable the wind turbine to better adapt to the grid changes, and improve the robustness of the system.

[0039] In some specific embodiments, the combined active power reserve optimization function model of the wind turbine is the aggregated impedance method optimization model. In the aggregated impedance method optimization model, the small-signal stability margin of the wind turbine grid-connected system is expressed as , and the function expression of the aggregated impedance method optimization model is:

[0040] In the formula, is the zero of the aggregated impedance characteristic polynomial; is the Laplace operator; is the actual rotational angular velocity of the wind turbine; is the optimal rotational angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the grid, which is a matrix; is the impedance model of the wind turbine, which is a matrix; is the load reduction rate; is the wind energy utilization coefficient of the wind turbine, which is a function of the tip speed ratio and the pitch angle ; is the tip speed ratio, which is the ratio between the linear velocity of the tip of the wind turbine blade and the wind speed. The expression of is: is the optimal tip speed ratio, The expression of is:

[0041] In some other embodiments, the combined active power reserve optimization function model of the wind turbine is the generalized Nyquist criterion optimization model. In the generalized Nyquist criterion optimization model, the small-signal stability margin of the wind turbine grid-connected system is expressed as The function expression of the generalized Nyquist criterion optimization model is:

[0042] where is the zero point of the aggregated impedance characteristic polynomial; is the Laplace operator; is the actual rotational angular velocity of the wind turbine; is the optimal rotational angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the power grid, which is a matrix; is the impedance model of the wind turbine, which is a matrix; is the load reduction rate; is the wind energy utilization coefficient of the wind turbine, which is a function of the tip speed ratio and the pitch angle ; The tip speed ratio is the ratio between the linear velocity of the tip of the wind turbine blade and the wind speed, The expression of is: is the optimal tip speed ratio, The expression of is:

[0043] In some embodiments, The expression of

[0044] where is an intermediate variable, are all constants, and the steps to determine include: S101. Input different wind speeds, pitch angles, and rotational angular velocities into the wind turbine simulation software to simulate the behavior of the wind turbine under different working conditions, and output the corresponding values to form discrete data points. The wind turbine simulation software includes Bladed, FAST, or HAWC2; S102. Substitute the obtained discrete data points into the expression for parameter fitting to obtain a continuous functional relationship, and then determine the numerical value.

[0045] The expression obtained through parameter fitting can accurately reflect the variation law of the wind energy utilization coefficient of the actual wind turbine under various working conditions. In the combined reserve control method of the fan power, the power output of the fan can be calculated more accurately according to the actual working conditions, the operating parameters of the fan can be optimized, the power generation efficiency of the fan can be improved, so that the fan can better adapt to the grid demand under different wind speeds and load conditions. At the same time, reduce the power prediction error and improper control problems caused by inaccurate values, and enhance the reliability and effectiveness of the entire control system.

[0046] In some embodiments, the function of

[0047] where, is the resistance, is the inductance, is the grid synchronous angular velocity, is the Laplace operator; The small-signal impedance model of the fan is obtained by measuring the wind turbine through frequency sweep , and the function of

[0048] The operation of measuring the wind turbine through frequency sweep is to inject voltage harmonics from the external voltage disturbance source into the wind turbine at the point of common coupling. When the two injected voltage disturbances are linearly independent, measure the voltage , at the point of common coupling of the wind turbine and the current and at the point of common coupling of the wind turbine. Then the impedance calculation method of the wind turbine is: .

[0049] With an accurate impedance model, the operating state of the wind turbine in the power grid can be more precisely evaluated, the control strategy of the wind turbine can be optimized, the grid connection performance of the wind turbine can be improved, and power losses, harmonic interference, and system instability caused by impedance mismatch and other problems can be reduced.

[0050] Step S2: Obtain the wind turbine parameters and the status variables of the wind turbine in real time. The status variables of the wind turbine include the current wind speed , air density and the load reduction rate of the wind turbine . The load reduction rate is the ratio between the current power and the optimal power of the wind turbine.

[0051] Among them, the current wind speed is the main external input condition for the operation of the wind turbine. It directly determines the amount of wind energy that the wind turbine can capture and is an important basis for calculating the power output of the wind turbine and adjusting the operating parameters. The air density also affects the power output of the wind turbine. Considering the air density can make the control of the wind turbine more precise and adapt to the operation under different environmental conditions. The load reduction rate reflects the relationship between the current power and the optimal power of the wind turbine. By obtaining the load reduction rate, the power reserve and actual output of the wind turbine can be better balanced in the optimization calculation, enabling the wind turbine to improve its own operating efficiency as much as possible while meeting the grid demand and reducing unnecessary energy losses.

[0052] In some embodiments, the wind turbine parameters include the wind wheel radius R, the rated speed, and the maximum pitch angle.

[0053] Among them, the wind wheel radius is a key factor affecting the wind energy capture ability of the wind turbine. The tip speed of the blade can be calculated based on the wind wheel radius and the wind speed, and then the tip speed ratio can be determined, which is crucial for optimizing the operation of the wind turbine at the best wind energy utilization coefficient state. The rated speed and the maximum pitch angle limit the basic operating range of the wind turbine. In subsequent calculations and controls, these parameters can be used as constraint conditions to ensure that the calculated speed and pitch angle are within a reasonable and feasible range, avoiding damage to the wind turbine due to operating parameters exceeding the design limit, and also helping to improve the safety and reliability of the wind turbine operation.

[0054] Step S3: Input the wind turbine parameters and the status variables of the wind turbine into the combined active power reserve optimization function model for solution to obtain the speed and pitch angle that maximize the small-signal stability margin of the wind turbine.

[0055] The rotational speed and pitch angle obtained by solving with the goal of maximizing the small-signal stability margin of the wind turbine can enable the wind turbine to have better stability when facing small disturbances in the power grid (such as small fluctuations in load, small changes in frequency, etc.). The optimized rotational speed can enable the wind turbine to operate stably under different wind speeds and load conditions, avoiding fatigue wear of mechanical components and instability of the electrical system caused by rotational speed fluctuations; the appropriate pitch angle can precisely control the efficiency of the wind turbine in capturing wind energy, timely adjust the blade angle when the wind speed changes, make the output power of the wind turbine more stable, reduce the impact of power fluctuations on the power grid, and at the same time improve the power generation efficiency of the wind turbine itself, extend the service life of the wind turbine, and reduce maintenance costs.

[0056] In some embodiments, the traversal method is used to solve the combined active reserve optimization function model, and the rotational speed and pitch angle are traversed within the constraint range with a step size that satisfies the accuracy error to obtain and 。

[0057] By traversing the rotational speed and pitch angle within the constraint range with a step size that satisfies the accuracy error, it can be ensured to a certain extent to find an approximate optimal solution that maximizes the small-signal stability margin of the wind turbine. In a complex wind turbine system, when it is difficult to directly obtain the optimal solution through analytical methods, the traversal method can provide an effective numerical solution approach to ensure that the obtained rotational speed and pitch angle can meet the requirements of the stable operation and optimal control of the wind turbine, improve the operating performance of the wind turbine in the power grid, enhance the response ability of the wind turbine to the requirements such as power grid frequency regulation, and at the same time contribute to improving the power generation efficiency and stability of the entire wind farm.

[0058] Step S4, execute in the wind turbine and 。

[0059] Applying the calculated optimal rotational speed and pitch angle to the actual operation of the wind turbine can enable the wind turbine to operate according to the predetermined optimization strategy, which helps to achieve stable and efficient power generation of the wind turbine and improve the overall power generation performance of the wind farm. In terms of the power grid, the wind turbine can better adapt to the operating requirements of the power grid. For example, when the power grid frequency changes, it can respond in a timely manner by adjusting the rotational speed and pitch angle, provide effective power support for the power grid, maintain the stability of the power grid frequency, enhance the acceptance capacity of the power grid for wind power, and promote the large-scale application of renewable energy in the power system.

[0060] The following are embodiments of the wind turbine power combined reserve control system provided by the present disclosure. This active load shedding optimization system belongs to the same inventive concept as the wind turbine power combined reserve control method of the above embodiments. For the details not described in detail in the embodiments of the wind turbine power combined reserve control system, reference can be made to the embodiments of the above wind turbine power combined reserve control method.

[0061] A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to represent elements are only for facilitating the description of the embodiments of the present invention, and they have no specific meaning by themselves. Therefore, "module" and "component" can be used interchangeably.

[0062] As Figure 2 shown, the fan power combined reserve control system includes: An optimization model establishment module for establishing a combined active power reserve optimization function model of a wind turbine; A parameter acquisition module for acquiring wind turbine parameters and real-time acquiring the status quantities of the wind turbine; A calculation module for inputting the wind turbine parameters and the status quantities of the wind turbine into the combined active power reserve optimization function to calculate the rotational speed and pitch angle that maximize the small-signal stability margin of the fan; An execution module for executing the rotational speed and pitch angle that maximize the small-signal stability margin of the fan obtained by the calculation module in the wind turbine.

[0063] This application also provides an electronic device implementing various embodiments of the present invention. The electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor.

[0064] Those skilled in the art can understand that the structure of the electronic device involved in the embodiments of the present invention does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0065] Figure 3 A schematic diagram of the hardware structure of an electronic device implementing various embodiments of the present invention.

[0066] The electronic device 500 includes, but is not limited to: a processor 501, a network module 502, an audio output unit 503, an input unit 504, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, and other components. Those skilled in the art can understand that the structure of the electronic device involved in the embodiments of the present invention does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0067] In embodiments of the present invention, the electronic device includes, but is not limited to, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device may also represent various forms of mobile devices and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of the present application described and / or claimed herein.

[0068] In embodiments of the present application, the processor 501 may be implemented by using at least one of an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a processor, a controller, a microcontroller, a microprocessor, and an electronic unit designed to perform the functions described herein. In some cases, such an implementation may be implemented in the controller. For a software implementation, an implementation of a process or function may be implemented with a separate software module that allows performing at least one function or operation. The software code may be implemented by a software application (or program) written in any appropriate programming language. The software code may be stored in the memory and executed by the controller.

[0069] The display unit 506 is used to display information input by the user or information provided to the user. The display unit 506 may include a display panel, and the display panel may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0070] The user input unit 507 may include, but is not limited to, a physical keyboard, function keys (such as volume control keys, power on / off keys, etc.), a trackball, a mouse, a joystick, which will not be elaborated herein.

[0071] The interface unit 508 is an interface for connecting an external device to the electronic device 500. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, an audio input / output (I / O) port, a video I / O port, a headset port, and so on.

[0072] In addition, the electronic device 500 includes some functional modules not shown herein, which will not be elaborated herein.

[0073] Those skilled in the art to which the present application pertains can understand that various aspects of the electronic device provided by the present application can be implemented as a system, a method, or a program product. Therefore, various aspects of the present disclosure can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to herein as "circuit", "module", or "system".

[0074] The present application also provides a storage medium in which a program product capable of implementing the fan power combined standby control method is stored. In some possible implementation manners, various aspects of the present disclosure can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to cause the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of this specification.

[0075] The storage medium can adopt any combination of one or more readable media. The readable media can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0076] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A wind turbine power joint standby control method, characterized in that the steps include: S1. Establishing a joint active reserve optimization function model for wind turbines; S2. Obtain wind turbine parameters and real-time status of wind turbines, including current wind speed , air density and wind turbine load shedding rate , load reduction rate is the ratio between the current power and the optimal power of the wind turbine; S3. Input the wind turbine parameters and wind turbine state quantities into the joint active reserve optimization function model to solve and obtain the speed that maximizes the wind turbine small disturbance stability margin and pitch angle ; S4. Execution in wind turbines and .

2. The wind turbine power joint standby control method according to claim 1, characterized in that: In step S2, the wind turbine parameters include the rotor radius R, the rated speed , maximum pitch angle .

3. The wind turbine power joint standby control method according to claim 2, characterized in that: The optimization function model of the joint active reserve of wind turbines is the aggregate impedance optimization model. In the aggregate impedance optimization model, the small signal stability margin of the wind turbine grid-connected system is expressed as , the functional expression of the optimization model of the polymerization impedance method is: In the formula, is the zero point of the characteristic polynomial of the aggregate impedance; is the Laplace operator; is the actual rotation angular velocity of the wind turbine; is the optimal rotation angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the power grid, Matrix of is the impedance model of the fan, Matrix of is the load reduction rate; is the wind energy utilization coefficient of the wind turbine, which is related to the tip speed ratio and pitch angle Function of is the tip speed ratio, which is the ratio between the linear velocity of the wind turbine blade tip and the wind speed. The expression is: ; is the optimal tip speed ratio, The expression is: .

4. The wind turbine power joint standby control method according to claim 2, characterized in that: The optimization function model of the joint active reserve of wind turbines is a generalized Nyquist criterion optimization model. In the generalized Nyquist criterion optimization model, the small signal stability margin of the wind turbine grid-connected system is expressed as , the function expression of the generalized Nyquist criterion optimization model is: In the formula, is the zero point of the characteristic polynomial of the aggregate impedance; is the Laplace operator; is the actual rotation angular velocity of the wind turbine; is the optimal rotation angular velocity of the wind turbine; is the rated rotational angular velocity of the wind turbine; is the pitch angle of the wind turbine; is the maximum pitch angle of the wind turbine; is the impedance model of the power grid, Matrix of is the impedance model of the fan, Matrix of is the load reduction rate; is the wind energy utilization coefficient of the wind turbine, which is related to the tip speed ratio and pitch angle Function of is the tip speed ratio, which is the ratio between the linear velocity of the wind turbine blade tip and the wind speed. The expression is: ; is the optimal tip speed ratio, The expression is: .

5. The wind turbine power joint standby control method according to any one of claims 3-4, characterized in that: The expression is: In the formula, is the intermediate variable, are constants, and are determined The steps include: S101. Input different wind speeds, pitch angles and rotational angular velocities into the wind turbine simulation software to simulate the behavior of the wind turbine under different working conditions and output the corresponding Values ​​are formed into discrete data points. Wind turbine simulation software includes Bladed, FAST or HAWC2; S102. Substitute the obtained discrete data points into Parameter fitting is performed in the expression of to obtain a continuous functional relationship, and then determine The numerical value of .

6. The wind turbine power joint standby control method according to claim 5, characterized in that: The specific function is: in, is the resistance, is the inductor, is the grid synchronization angular velocity, is the Laplace operator; The small signal impedance model of the wind turbine is obtained by frequency sweeping measurement of the wind turbine. , The function is expressed as: The operation of the wind turbine is to inject voltage harmonics into the wind turbine at the grid connection point by applying an external voltage disturbance source. When the two voltage disturbances injected are linearly independent, the grid connection point voltage of the wind turbine is measured. , Current at the point of connection with wind turbine and , then the impedance calculation method of the wind turbine is: 。 7. The wind turbine power joint standby control method according to claim 1, characterized in that: In step S3, the traversal method is used to solve the joint active reserve optimization function model, and the rotation speed and pitch angle are traversed within the constraint range to meet the step size of the accuracy error, and the result is and .

8. A wind turbine power joint standby control system, characterized in that: A method for controlling wind turbine power joint standby according to any one of claims 1 to 7, comprising: An optimization model building module is used to build a joint active reserve optimization function model for wind turbines; The parameter acquisition module is used to obtain the parameters of the wind turbine set and obtain the state quantity of the wind turbine set in real time; A calculation module is used to input the wind turbine parameters and wind turbine state quantities into the joint active reserve optimization function to calculate the rotation speed and pitch angle that maximize the small disturbance stability margin of the wind turbine; The execution module is used to execute the rotation speed and pitch angle obtained by the calculation module in the wind turbine set so as to maximize the small disturbance stability margin of the wind turbine.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the wind turbine power joint standby control method as described in any one of claims 1 to 7 when executing the computer program.

10. A storage medium, characterized in that: A computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the wind turbine power joint standby control method as described in any one of claims 1-7 are implemented.

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