A method, device, terminal and medium for calculating fan frequency control parameters

Abstract

The present application discloses a method, device, terminal and medium for calculating the frequency control parameters of a wind turbine. The wind turbine control parameter calculation scheme provided by the present application takes into account the virtual inertia control strategy and the droop control strategy added to the wind turbine group, and establishes a system frequency response model for incorporating the wind turbine group into the power system. On the basis of the established system frequency response model, the numerical range of the wind turbine control strategy parameters is quantitatively determined according to the frequency stability index, thereby improving the calculation accuracy of the control parameters and solving the technical problem of low frequency control accuracy in the existing power system.

Description

Technical Field

[0001] The present application relates to the field of power system control technology, and in particular to a method, device, terminal and medium for calculating frequency control parameters of a wind turbine. Background Art

[0002] Energy issues are extremely important in today's world, among which new energy units will play a leading role in the power supply of power systems. Power systems with high penetration of renewable energy, represented by wind power, are gradually taking shape. When wind turbines are connected to the power grid on a large scale through power electronic converters, the equivalent inertia of the system will decrease, and the system's ability to resist frequency disturbances will also weaken. If the control strategy of wind turbines is added, the situation will become more complicated.

[0003] The analysis of frequency control strategies of traditional power systems generally adopts the system frequency response model, also known as the SFR model. The system frequency response process is a closed-loop response. The frequency response capability of traditional power systems mainly depends on the parameters of the system synchronous units and load response capabilities. It does not take into account the complex control strategy combination of new energy units in today's power systems, resulting in low frequency control accuracy. Summary of the invention

[0004] The present application provides a method, device, terminal and medium for calculating frequency control parameters of a wind turbine, which are used to solve the technical problem of low frequency control accuracy in existing power systems.

[0005] In order to solve the above technical problems, the first aspect of the present application provides a method for calculating a frequency control parameter of a fan, comprising:

[0006] According to the wind turbine set configured with the control strategy, the set parameters of the wind turbine set are obtained, and a system frequency response model is constructed for the power system connected to the wind turbine set in combination with the set parameters;

[0007] Based on the system frequency response model, determining a system frequency response frequency domain expression in the system frequency response model, and respectively calculating a maximum frequency change rate and a steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression;

[0008] The parameter value of the control parameter of the wind turbine generator set is determined according to the threshold value of the maximum frequency change rate and the steady-state frequency deviation value in combination with a control parameter calculation formula.

[0009] Preferably, the control parameters specifically include: a droop control parameter and a virtual inertia control parameter.

[0010] Preferably, the step of determining the parameter value of the control parameter of the wind turbine generator set based on the threshold value of the maximum frequency change rate and the steady-state frequency deviation value in combination with a control parameter calculation formula specifically includes:

[0011] Determine the droop control parameter of the wind turbine generator set according to the threshold value of the steady-state frequency deviation value and in combination with a droop control parameter calculation formula;

[0012] The virtual inertia control parameter of the wind turbine generator set is determined according to the threshold value of the maximum frequency change rate in combination with a virtual inertia control parameter calculation formula.

[0013] Preferably, the droop control parameter calculation formula is specifically:

[0014]

[0015] Where A1 is the droop control parameter, is the disturbance power, is the governor gain, is the load frequency response coefficient, is the threshold value of the steady-state frequency deviation value, is the wind power penetration rate.

[0016] Preferably, the virtual inertia control parameter calculation formula is specifically:

[0017]

[0018] Where A2 is the virtual inertia control parameter, is the disturbance power, is the threshold value of the maximum frequency change rate, is the wind power penetration rate, is the rotor time constant.

[0019] Preferably, the acquiring of the unit parameters of the wind turbine generator set and, in combination with the unit parameters, constructing a system frequency response model for the power system connected to the wind turbine generator set specifically includes:

[0020] Acquire the unit parameters of the wind turbine generator set, and calculate the effective power change, rotor speed change and maximum power tracking change of the wind turbine generator set according to the unit parameters;

[0021] According to the effective power change, the rotor speed change and the maximum power tracking change, in combination with the control strategy and wind turbine penetration rate, a system frequency response model is constructed for the power system connected to the wind turbine set.

[0022] Preferably, after determining the parameter value of the control parameter of the wind turbine generator set, the method further includes:

[0023] According to the frequency minimum point deviation of the system frequency response model, and by comparing the frequency minimum point deviation with a preset frequency minimum point deviation threshold, a parameter value verification result of the control parameter is determined.

[0024] A second aspect of the present application provides a fan frequency control parameter calculation device, comprising:

[0025] A system frequency response model building unit, used to obtain the unit parameters of the wind turbine set according to the wind turbine set configured with the control strategy, and to build a system frequency response model for the power system connected to the wind turbine set in combination with the unit parameters;

[0026] A frequency stability index calculation unit, used to determine a system frequency response frequency domain expression in the system frequency response model based on the system frequency response model, and calculate a maximum frequency change rate and a steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression;

[0027] The control parameter determination unit is used to determine the parameter value of the control parameter of the wind turbine generator set according to the threshold value of the maximum frequency change rate and the steady-state frequency deviation value in combination with a control parameter calculation formula.

[0028] A third aspect of the present application provides a fan frequency control parameter calculation terminal, including: a memory and a processor;

[0029] The memory is used to store program codes, and the program codes correspond to a method for calculating a frequency control parameter of a fan provided in the first aspect of the present application;

[0030] The processor is configured to execute the program code.

[0031] The fourth aspect of the present application provides a computer-readable storage medium, characterized in that program code is stored in the computer-readable storage medium, and the program code corresponds to a fan frequency control parameter calculation method provided in the first aspect of the present application.

[0032] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0033] The wind turbine control parameter calculation scheme provided in the present application takes into account the virtual inertia control strategy and droop control strategy added to the wind turbine group, and establishes a system frequency response (SFR) model for incorporating the wind turbine group into the power system. On the basis of the established system frequency response (SFR) model, the value range of the wind turbine control strategy parameters is quantitatively determined according to the frequency stability index, thereby improving the calculation accuracy of the control parameters and solving the technical problem of low control accuracy of the existing power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0035] Figure 1 The logical block diagram of the system frequency response model of the traditional power system.

[0036] Figure 2 A schematic flow chart of an embodiment of a method for calculating fan frequency control parameters provided in the present application.

[0037] Figure 3 A logical block diagram of a system frequency response model of the power system provided in this application.

[0038] Figure 4 A flow chart of another embodiment of a method for calculating fan frequency control parameters provided in the present application.

[0039] Figure 5 System structure diagram for connecting wind farm to IEEE-9 node

[0040] Figure 6 The figure is a comparison chart of system frequency response curves based on different system frequency response models.

[0041] Figure 7 The figure is a comparison chart of system frequency response curves based on different control parameter combinations.

[0042] Figure 8 The figure is a comparison chart of the maximum frequency change rate curve of the system based on different control parameter combinations.

[0043] Fig. 9 A schematic structural diagram of an embodiment of a fan frequency control parameter calculation device provided in the present application. DETAILED DESCRIPTION

[0044] The traditional system frequency response (SFR) model cannot be applied to the system frequency response of today's large number of renewable energy access. The power system frequency is always in a dynamic adjustment process. According to different time scales, the traditional synchronous generator set will adjust the system frequency through the inertial response link, the primary frequency regulation link and the secondary frequency regulation link to ensure the stable operation of the system. The system frequency response (SFR) model of the traditional power system is shown in Figure 1. After multiple synchronous generators in the system are equivalent to one generator, the system frequency response process is a closed loop. The frequency response capability of the traditional power system mainly depends on the parameters of the system synchronous unit and the load response capability.

[0045] Figure 1 middle, is the disturbance power; and are the actual value and reference value of the system frequency deviation; is the turbine coefficient of the turbogenerator; is the equivalent time constant of the turbine; is the rotor time constant; is the governor gain; is the load frequency response factor.

[0046] according to Figure 1 ,available:

[0047] Speed ​​regulation:

[0048]

[0049] Frequency response link:

[0050]

[0051] Therefore, the frequency domain expression of the traditional power system frequency response can be written as:

[0052]

[0053] From the above, we can see that the frequency response capability of the traditional power system mainly depends on the parameters of the system's synchronous units and load response capabilities. It does not take into account the complex control strategy combination of new energy units in today's power system, resulting in technical problems such as low control accuracy.

[0054] In view of this, the embodiments of the present application provide a method, device, terminal and medium for calculating the frequency control parameters of a wind turbine, which are used to solve the technical problem of low control accuracy of the existing power system.

[0055] In order to make the purpose, features, and advantages of the invention of this application more obvious and easy to understand, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the embodiments described below are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0056] See also Figure 2 and Figure 3 The first embodiment of the present application provides a method for calculating a fan frequency control parameter, comprising:

[0057] Step 101: According to the wind turbine set configured with the control strategy, the unit parameters of the wind turbine set are obtained, and a system frequency response model is constructed for the power system connected to the wind turbine set in combination with the unit parameters.

[0058] First, the wind turbine parameters are obtained according to the wind turbine configured with the control strategy, and then the system frequency response model is constructed for the power system connected to the wind turbine. The control strategy configured in the wind turbine is generally a virtual inertia control strategy and a droop control strategy.

[0059] Step 102: Based on the system frequency response model, determine the system frequency response frequency domain expression in the system frequency response model, and calculate the maximum frequency change rate and the steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression.

[0060] Next, based on the system frequency response model obtained in step 101, the system frequency response model is analyzed to determine the system frequency response frequency domain expression in the system frequency response model, and then based on the system frequency response frequency domain expression, the frequency stability index of the system frequency response model, i.e., the maximum frequency change rate and the steady-state frequency deviation value, are calculated respectively.

[0061] Step 103: Determine the parameter value of the control parameter of the wind turbine generator set according to the threshold value of the maximum frequency change rate and the steady-state frequency deviation value in combination with the control parameter calculation formula.

[0062] Next, based on the frequency stability indicators calculated in step 102 - the maximum frequency change rate and the steady-state frequency deviation value, according to their corresponding threshold values ​​and in combination with the control parameter calculation formula, the parameter values ​​of the control parameters of the wind turbine are determined so that the calculated control parameters can be applied to the control strategy of the power system connected to the new energy units with complex control strategies, thereby improving the control accuracy of the power system.

[0063] The above content is a detailed description of the first embodiment of a method for calculating fan frequency control parameters provided by the present application. The following is a detailed description of the second embodiment of a method for calculating fan frequency control parameters provided by the present application.

[0064] See also Figure 4 Further, in some embodiments, the step 101 mentioned in the previous embodiment may specifically include:

[0065] Step 1011, obtaining the unit parameters of the wind turbine generator set, and calculating the effective power change, rotor speed change and maximum power tracking change of the wind turbine generator set according to the unit parameters;

[0066] Step 1012: construct a system frequency response model for the power system connected to the wind turbines according to the effective power change, the rotor speed change and the maximum power tracking change, in combination with the control strategy and the wind turbine penetration rate.

[0067] It should be noted that if Figure 3 As shown, the wind turbine parameters such as blade area, pitch angle, etc. are obtained, and the effective power change, rotor speed change and maximum power tracking change of the wind turbine are calculated according to the wind turbine parameters. The specific process can be found in the following example description:

[0068] Since wind energy cannot be fully captured by wind turbine blades, except for a small portion of wind energy that can be converted, the rest of the energy will be carried away by high-speed air. Therefore, the wind energy utilization coefficient is introduced. , which represents the efficiency of wind turbines in utilizing wind energy. Therefore, the effective power actually captured by the wind turbine is:

[0069]

[0070] Determining wind energy utilization factor The size function relationship is as follows:

[0071]

[0072] In this formula, is the power actually captured by the wind turbine, i.e. the mechanical power, is the air density, is the instantaneous wind speed, represents the blade area, is the tip speed ratio, is the pitch angle, and R is the radius of the wind turbine rotor.

[0073] when When the wind speed is constant, in order to calculate the change due to and rotor speed change The input caused In order to reduce the amount of calculation, the function fitting method is used to obtain the following formula, where is a constant:

[0074]

[0075] The mechanical power change can be obtained from the above formula: Change in wind speed and rotor speed change Relationship:

[0076]

[0077] Due to the addition of control strategy, the fan rotor speed can respond to the change of system frequency to release or store kinetic energy to participate in frequency regulation. The change of rotor rotation kinetic energy can be expressed as follows:

[0078]

[0079] is the moment of inertia of the fan.

[0080] When a unit frequency changes per unit time, the rotor rotational kinetic energy changes Formula and inertia time constant The inertia time constant of DFIG is obtained by the definition of The calculation method is as follows:

[0081]

[0082] MPPT (Maximum Power Point Tracking) control achieves maximum power tracking control by controlling the rotor speed, so the change of rotor speed Also affects power output:

[0083]

[0084] Then, according to the additional control in the wind turbine, the system frequency response (SFR) model of the power system is constructed:

[0085] Among them, the droop control participates in the system frequency regulation relationship:

[0086]

[0087] Virtual inertia control participates in system frequency regulation relationship:

[0088]

[0089] In the formula, A1 is the droop control parameter, A2 is the virtual inertia control parameter, is the speed change caused by the involvement of the control strategy, is the power change caused by the participation of the droop control strategy, is the power change caused by the participation of the virtual inertia control strategy.

[0090] Assuming that all wind turbines in the power system participate in system frequency regulation, the wind power penetration rate The definition is as follows:

[0091]

[0092] Combining the above equations with the traditional system frequency response (SFR) model, a system frequency response (SFR) model with high penetration rate of wind power can be obtained, as shown in Figure 3. The outside of the dotted box in the figure is divided into the traditional system frequency response (SFR) model, and the inside of the box is the new energy wind turbine model with frequency control. The left part of the box is the output power change caused by the change of the wind turbine rotor speed, and the right part of the box is the power adjustment output by the wind turbine frequency control strategy participating in the frequency regulation; due to the introduction of the wind turbine penetration rate problem, constant modules are introduced in the wind turbine and traditional prime mover parts respectively. and .

[0093] Next, based on the detailed description of step 101, step 102 refers to determining a system frequency response frequency domain expression in the system frequency response model based on the system frequency response model, and calculating the maximum frequency change rate and the steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression. The details of the step process can be specifically referred to in the following example description:

[0094] When the wind speed changes and rotor speed changes The change in fan output power caused by When the equivalent speed control function And the equivalent frequency response function according to Figure 3 It can be defined as the following function:

[0095]

[0096] For the convenience of calculation, the parameters are transformed according to the traditional system frequency response (SFR) model as follows:

[0097]

[0098] but It can be written as a traditional system frequency response (SFR) model function:

[0099]

[0100] Therefore, according to the traditional system frequency response (SFR) model, the frequency domain expression of the frequency response of the fan system can be written as follows:

[0101]

[0102] Then, based on the frequency domain expressions provided above, the parameter values ​​of the main parameters affecting the frequency are calculated in combination with the frequency stability index.

[0103] Furthermore, according to the threshold value of the maximum frequency change rate and the steady-state frequency deviation value, combined with the control parameter calculation formula, the parameter value of the control parameter of the wind turbine generator set is determined to include:

[0104] According to the threshold value of the steady-state frequency deviation value and the droop control parameter calculation formula, the droop control parameter of the wind turbine is determined;

[0105] According to the threshold value of the maximum frequency change rate and the calculation formula of the virtual inertia control parameter, the virtual inertia control parameter of the wind turbine is determined.

[0106] Furthermore, the droop control parameter calculation formula is specifically:

[0107]

[0108] Where A1 is the droop control parameter, is the disturbance power, is the governor gain, is the load frequency response coefficient, is the threshold value of the steady-state frequency deviation value, is the wind power penetration rate.

[0109] It should be noted that, according to Figure 3 The frequency deviation transfer function based on power disturbance is obtained:

[0110]

[0111] Calculate the steady-state frequency deviation in the time domain by Laplace's final value theorem :

[0112]

[0113] When the system power disturbance occurs, the smaller the steady-state frequency deviation value is, the more stable the system is. From the above steady-state frequency deviation, we can see that the time domain formula increases with the wind power penetration rate. Higher and higher, the steady-state frequency deviation depends on the droop control coefficient , virtual inertia control will not affect the steady-state frequency deviation.

[0114] Therefore, within the allowable steady-state frequency deviation threshold In the confirmed case, if the wind power penetration rate is fixed, the parameter value of the droop control coefficient can be calculated:

[0115] .

[0116] Furthermore, the virtual inertia control parameter calculation formula is specifically:

[0117]

[0118] Where A2 is the virtual inertia control parameter, is the disturbance power, is the threshold value of the maximum frequency change rate, is the wind power penetration rate, is the rotor time constant.

[0119] It should be noted that during normal operation, the frequency change reference value ,according to Figure 3 The frequency deviation transfer function based on power disturbance is obtained:

[0120]

[0121] Maximum frequency change rate in the time domain of the system frequency response It can be transformed by Laplace's initial value theorem:

[0122]

[0123] From the previous formula, we can see that Wind power penetration and virtual inertial control parameters Decide, The smaller the wind power penetration rate, the stronger the system's ability to resist disturbances. The improvement The size of depends on the parameters of the virtual inertia control strategy .

[0124] When the threshold value of the maximum rate of change of system frequency After determination, if the wind power penetration rate remains unchanged, we can use this to calculate the virtual inertia control parameters Values:

[0125]

[0126] Furthermore, after determining the parameter value of the control parameter of the wind turbine generator set mentioned in step 103, the following steps are further included:

[0127] Step 104 : Determine a parameter value verification result of the control parameter according to the frequency minimum point deviation of the system frequency response model and by comparing the frequency minimum point deviation with a preset frequency minimum point deviation threshold.

[0128] It should be noted that according to Figure 3 The frequency domain closed-loop function with power disturbance as input and frequency deviation as output is obtained:

[0129]

[0130] in The specific meanings are as follows:

[0131]

[0132] When a step power disturbance occurs, the above closed-loop frequency domain function can be converted into the following time domain form.

[0133] Derive the frequency domain formula and calculate the peak value, (Underdamped state), the peak time is:

[0134]

[0135] Substituting this time point into the time domain formula, we can get the magnitude of the frequency minimum point deviation from the rated frequency:

[0136]

[0137] and All related to the fan control strategy parameters Related, therefore The value of will affect the size of the lowest frequency point, so the fan control strategy parameters calculated in the previous article are The value still needs to meet the frequency minimum point deviation threshold Requirements:

[0138]

[0139] Therefore, after the parameter values ​​of the droop control parameter A1 and the virtual inertia control parameter A2 are determined through the above steps, the frequency minimum point deviation of the system frequency response model is calculated according to the parameter values ​​of the control parameters, and the frequency minimum point deviation is compared with the preset frequency minimum point deviation threshold. Compare and determine the parameter value verification result of the control parameter. If the verification passes, the current parameter value can be directly output for use. If the verification fails, the new parameter value is re-determined according to the aforementioned control parameter value range constraint formula.

[0140] To further demonstrate the feasibility of the technical solution of the present application, this embodiment also uses the method provided above, in the following example: Figure 5 The verification was carried out based on the model shown, and the specific verification examples are as follows:

[0141] like Figure 5 As shown in the figure, the model of wind farm connected to IEEE-9 node system contains 10 nodes, 4 transformer branches, 3 synchronous units and a wind farm composed of multiple wind turbines as power source. This model and different simulation scenarios are used to verify the effectiveness of the proposed model and the accuracy of parameter calculation. The steps are as follows:

[0142] (a) To simplify the mechanical power output of the wind turbine The calculation of The actual formula is simplified to , taking its derivative, we can get the mechanical power change Change in wind speed and the rotor angular velocity change The inertia time constant of DFIG is obtained by using the definition The calculation formula is then used to obtain the power provided by the fan for frequency regulation based on the fan control strategy. and Finally, the wind power penetration rate K is defined, and the system frequency response (SFR) model with control strategy after the wind turbine is connected to the system can be established based on the traditional system frequency response (SFR) model.

[0143] (b) After obtaining the system frequency response (SFR) model, its internal equivalent speed regulation function can be obtained according to the system frequency response (SFR) model diagram And the equivalent frequency response function ,according to This can be converted into a functional format of a traditional system frequency response (SFR) model: After these steps are completed, the frequency domain expression of this system frequency response (SFR) model can be obtained: ;

[0144] (c) Finally, the fan control strategy parameter values ​​are calculated based on the frequency domain expression. The maximum frequency change rate is obtained according to the Laplace initial value theorem: , Should not exceed the threshold allowed by the system , the virtual inertial control parameters can be obtained Values: ;

[0145] The steady-state frequency deviation is also solved according to Laplace's final value theorem: , the steady-state frequency deviation should not exceed the threshold , the parameter value of the droop control coefficient can be calculated: ; Whether the frequency minimum point deviation value calculated by the time domain function converted from the frequency domain function meets the threshold requirement is the formula: to correct the parameter value.

[0146] This embodiment provides a verification example to verify the method using a model in which a wind farm is connected to an IEEE-9 node system.

[0147] When the wind power penetration rate is set to 30% and the load step size is 10%, it can be observed that Figure 6From the frequency curve shown, we can see that with the addition of wind turbines and their control strategies, the traditional system frequency response (SFR) model can no longer adapt to the existing power system with large-scale renewable energy access. We can also see that the improved system frequency response (SFR) model of this patent can better match the actual system.

[0148] Under the condition that the wind power penetration rate and load step remain unchanged, the maximum frequency change rate threshold mentioned above is set , Steady-state frequency deviation threshold And the frequency minimum point deviation threshold The values ​​are 0.5Hz / s, 0.2Hz, 0.5Hz, simulation graphs are as follows Figure 7 and Figure 8 As shown. According to the calculation results, , The parameter values ​​can ensure that the frequency index is within the allowable range of the system. Figure 7 and Figure 8 The simulation results also show that the calculation results meet the requirements.

[0149] The above content is a detailed description of a more specific embodiment of a method for calculating a fan frequency control parameter provided by the present application. The following is a detailed description of an embodiment of a device for calculating a fan frequency control parameter provided by the present application.

[0150] See also Fig. 9 The third embodiment of the present application provides a fan frequency control parameter calculation device, comprising:

[0151] The system frequency response model building unit 201 is used to obtain the unit parameters of the wind turbine generator set according to the wind turbine generator set configured with the control strategy, and to build a system frequency response model for the power system connected to the wind turbine generator set in combination with the unit parameters;

[0152] The frequency stability index calculation unit 202 is used to determine the system frequency response frequency domain expression in the system frequency response model based on the system frequency response model, and calculate the maximum frequency change rate and the steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression;

[0153] The control parameter determination unit 203 is used to determine the parameter value of the control parameter of the wind turbine generator set according to the threshold value of the maximum frequency change rate and the steady-state frequency deviation value in combination with the control parameter calculation formula.

[0154] Furthermore, the fan frequency control parameter calculation device provided in this embodiment further includes:

[0155] The parameter verification unit 204 is used to determine the parameter value verification result of the control parameter according to the frequency minimum point deviation of the system frequency response model and by comparing the frequency minimum point deviation with a preset frequency minimum point deviation threshold.

[0156] In addition, the present application further provides a detailed description of an embodiment of a fan frequency control parameter calculation terminal and an embodiment of a computer, which are as follows:

[0157] A fourth embodiment of the present application provides a fan frequency control parameter calculation terminal, including: a memory and a processor;

[0158] The memory is used to store program codes, and the program codes correspond to a method for calculating a frequency control parameter of a fan provided in the first embodiment or the second embodiment of the present application;

[0159] The processor is used to execute the program code to implement a fan frequency control parameter calculation method as provided in the first embodiment or the second embodiment of the present application.

[0160] The fifth embodiment of the present application provides a computer-readable storage medium, corresponding to the memory in the terminal embodiment, and the computer-readable storage medium stores program code, and the program code corresponds to a fan frequency control parameter calculation method provided in the first embodiment or the second embodiment of the present application.

[0161] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the terminals, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0162] In the several embodiments provided in the present application, it should be understood that the disclosed terminals, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0163] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0164] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0165] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0166] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0167] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calculating fan frequency control parameters, characterized in that: include: According to the wind turbine set configured with the control strategy, the set parameters of the wind turbine set are obtained, and a system frequency response model is constructed for the power system connected to the wind turbine set in combination with the set parameters; Based on the system frequency response model, determining a system frequency response frequency domain expression in the system frequency response model, and respectively calculating a maximum frequency change rate and a steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression; Determine the droop control parameter of the wind turbine generator set according to the threshold value of the steady-state frequency deviation value and in combination with a droop control parameter calculation formula; According to the threshold value of the maximum frequency change rate, combined with the virtual inertia control parameter calculation formula, the virtual inertia control parameter of the wind turbine generator set is determined, wherein the control parameter specifically includes: a droop control parameter and a virtual inertia control parameter; The droop control parameter calculation formula is specifically: ； Where A1 is the droop control parameter, is the disturbance power, is the governor gain, is the load frequency response coefficient, is the threshold value of the steady-state frequency deviation value, is the wind power penetration rate; The virtual inertia control parameter calculation formula is specifically: ； Where A2 is the virtual inertia control parameter, is the disturbance power, is the threshold value of the maximum frequency change rate, is the wind power penetration rate, is the rotor time constant.

2. A method for calculating fan frequency control parameters according to claim 1, characterized in that: The acquiring of the unit parameters of the wind turbine generator set and, in combination with the unit parameters, constructing a system frequency response model for the power system connected to the wind turbine generator set specifically includes: Acquire the unit parameters of the wind turbine generator set, and calculate the effective power change, rotor speed change and maximum power tracking change of the wind turbine generator set according to the unit parameters; According to the effective power change, the rotor speed change and the maximum power tracking change, in combination with the control strategy and wind turbine penetration rate, a system frequency response model is constructed for the power system connected to the wind turbine set.

3. A method for calculating fan frequency control parameters according to claim 1, characterized in that: After determining the parameter value of the control parameter of the wind turbine generator set, the method further includes: According to the frequency minimum point deviation of the system frequency response model, and by comparing the frequency minimum point deviation with a preset frequency minimum point deviation threshold, a numerical verification result of the control parameter is determined.

4. A fan frequency control parameter calculation device, characterized in that: include: A system frequency response model building unit, used to obtain the unit parameters of the wind turbine set according to the wind turbine set configured with the control strategy, and to build a system frequency response model for the power system connected to the wind turbine set in combination with the unit parameters; A frequency stability index calculation unit, used to determine a system frequency response frequency domain expression in the system frequency response model based on the system frequency response model, and calculate a maximum frequency change rate and a steady-state frequency deviation value of the system frequency response model based on the system frequency response frequency domain expression; A control parameter determination unit, configured to determine the droop control parameter of the wind turbine according to the threshold value of the steady-state frequency deviation value in combination with a droop control parameter calculation formula, and to determine the virtual inertia control parameter of the wind turbine according to the threshold value of the maximum frequency change rate in combination with a virtual inertia control parameter calculation formula, wherein the control parameters specifically include: a droop control parameter and a virtual inertia control parameter; The droop control parameter calculation formula is specifically: ； Where A1 is the droop control parameter, is the disturbance power, is the governor gain, is the load frequency response coefficient, is the threshold value of the steady-state frequency deviation value, is the wind power penetration rate; The virtual inertia control parameter calculation formula is specifically: ； Where A2 is the virtual inertia control parameter, is the disturbance power, is the threshold value of the maximum frequency change rate, is the wind power penetration rate, is the rotor time constant.

5. A fan frequency control parameter calculation terminal, characterized in that: include: Memory and processor; The memory is used to store program codes, and the program codes correspond to a method for calculating a frequency control parameter of a fan according to any one of claims 1 to 3; The processor is configured to execute the program code.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, and the program codes correspond to a method for calculating a frequency control parameter of a fan as claimed in any one of claims 1 to 3.

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