Parameter self-adaptive control method for improving frequency modulation capability of grid-forming type wind turbine generator

Abstract

The invention belongs to the technical field of new energy frequency modulation control of a power system, and relates to a parameter self-adaptive control method for improving the frequency modulation capability of a grid-forming type wind turbine generator. According to the method, the magnitude of disturbance generated by the system is obtained according to the maximum change rate of the system frequency when disturbance occurs, and the inertia of the wind turbine generator is increased to the maximum value of the inertia; substituting the disturbance data into the system frequency response model to obtain the moment when the inertia response output power of the wind turbine generator is equal to the primary frequency modulation response output power and the moment when the frequency reaches the lowest point; when the moment when the primary frequency modulation response output power is equal is less than t, the inertia of the wind turbine generator changes according to an inertia adaptive curve, and the droop coefficient changes according to a droop coefficient curve; when t is larger than the moment when the frequency reaches the lowest point, the inertia of the wind turbine generator set is reduced to the inertia minimum value, and the droop coefficient changes according to a specified self-adaptive curve. The method improves the safe operation level of the power grid and the frequency modulation capability of the wind turbine generator, and is high in universality.

Description

Technical Field

[0001] The present invention belongs to the technical field of frequency regulation control of renewable energy in power systems, and in particular relates to a parameter adaptive control method for improving the frequency regulation capability of grid-connected wind turbines. Background Art

[0002] In the "critical period" of transformation and development when new energy enters the transition to the main power source, with the rapid development of new energy and the gradual expansion of installed capacity, the strength of the power grid has gradually decreased, and the grid-following wind turbines based on phase-locked loops are difficult to adapt to the weak power grid structure dominated by new energy. In response to the above problems, relevant researchers have proposed a grid-building control of wind turbines. Grid-building wind turbines can actively participate in the construction of grid frequency and voltage, and then actively respond to changes in system frequency. However, the frequency regulation capability of grid-building wind turbines controlled by fixed parameters is weak. Therefore, improving the frequency regulation capability of grid-building wind turbines has become one of the key issues that need to be solved for the safe and stable operation of the power grid.

[0003] At present, there are many solutions for improving the frequency regulation capability of grid-connected wind turbines, such as:

[0004] 1. "Fuzzy Adaptive Virtual Inertia Control of High Wind Power Penetration System" by Ke Xianbo et al., Power System Technology 2020, 44(06): 2127-2136, proposed a fuzzy adaptive control strategy. This method uses wind speed, wind power penetration rate, system frequency change rate, etc. as evaluation indicators, introduces a fuzzy adaptive control strategy, and improves the frequency support capability of wind turbines.

[0005] 2. Yang Xiao et al. published “Adaptive control strategy for optimizing inertia and damping of virtual synchronous generators” Acta Energiae Solaris Sinica, 2023, 44(11): 495-504. This article proposes an adaptive control strategy for the combined control of inertia and damping of wind turbines. This method defines the inertia adaptive control curve according to the system frequency change rate, introduces a control loop that flexibly switches steady-state damping and transient damping, optimizes the droop coefficient adaptive control, and suppresses the oscillation of system frequency and wind turbine output power when small disturbances occur in the wind turbine grid-connected system.

[0006] 3. Gao Che et al. published “Adaptive Virtual Synchronous Generator Control of Doubly-Fed Wind Turbines Based on Operation Status Evaluation”, Power System Technology, 2018, 42(02): 517-523. This article proposed an inertia adaptive control strategy that takes into account the operation status of wind turbines during frequency modulation. This method first evaluates the operation status of the unit based on maximum power tracking control, and then adopts an adaptive control strategy for inertia based on the status evaluation results to avoid the wind turbine from stalling and disconnecting from the grid during frequency modulation.

[0007] In summary, the existing adaptive control strategies for improving the frequency regulation capability of grid-type wind turbines mostly adopt segmented control, which increases the inertia of wind turbines before the lowest frequency point occurs to increase the lowest frequency point, and increases the droop coefficient after the lowest frequency point to reduce the transient and steady-state deviation of system frequency. However, this method only reduces the maximum deviation of system frequency by changing the inertia, while ignoring the role of the droop coefficient D in reducing the maximum deviation of system frequency, and the method for determining the segmented time of segmented control is not clear.

[0008] Therefore, it is urgent to develop an adaptive control method that can utilize the adaptive droop coefficient and inertia coefficient to improve the lowest frequency point of the system and at the same time clearly define the segmented control points. Summary of the invention

[0009] In view of the shortcomings of the above-mentioned prior art, the present invention provides a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine. The purpose is to provide a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine that can utilize an adaptive droop coefficient and an inertia coefficient to improve the lowest frequency point of the system and clearly define the segmented control segmentation points.

[0010] The technical solution adopted by the present invention to achieve the above-mentioned purpose is:

[0011] A parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator system, comprising:

[0012] The magnitude of the disturbance in the system is inferred from the maximum rate of change of the system frequency when the disturbance occurs, and the inertia of the wind turbine is increased to the maximum inertia;

[0013] Substitute the obtained disturbance data into the system frequency response model to obtain the time when the inertia response output power of the grid-type wind turbine unit is equal to the primary frequency modulation response output power, and the time when the frequency reaches the lowest point;

[0014] When the time when the output power of the primary frequency modulation response is equal is less than t, and is less than or equal to the time when the frequency reaches the lowest point, the inertia of the wind turbine set changes according to the inertia adaptive curve, and the droop coefficient changes according to the droop coefficient curve;

[0015] When t is greater than the moment when the frequency reaches the lowest point, the inertia of the wind turbine set is reduced to the minimum inertia, and the droop coefficient continues to change according to the specified adaptive curve.

[0016] Furthermore, the magnitude of the disturbance occurring in the system is inferred from the maximum rate of change of the system frequency when the disturbance occurs, as shown in the following formula:

[0017]

[0018] In the formula, ΔP L is the value of the disturbance in the system, H is the equivalent inertia time constant of the power system, is the maximum rate of change of power system frequency.

[0019] Furthermore, the system frequency response model includes: a primary frequency regulation link of the thermal power unit, a frequency regulation link of the wind power unit and an inertia response link of the thermal power unit; when a load disturbance occurs, the system frequency deviation Δf is calculated through the inertia response link of the thermal power unit;

[0020] The transfer function of the inertia response link of the thermal power unit is shown in the following formula:

[0021]

[0022] In the formula, G V (s) is the inertia response transfer function expression of the thermal power unit in the power grid, d is the wind power penetration rate, H and D are the equivalent inertia time constant and damping time constant of the thermal power unit, respectively, and s is the Laplace operator in the Laplace transform;

[0023] The transfer function of the primary frequency regulation link of the thermal power unit is shown in the following formula:

[0024]

[0025] In the formula, G H (s) is the transfer function expression K of the primary frequency regulation link of the thermal power unit in the power grid M is the mechanical gain coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, R is the regulation coefficient of the thermal power unit, d is the wind power penetration rate, and s is the Laplace operator in the Laplace transform;

[0026] The frequency regulation link of the wind turbine generator set includes: generating a frequency regulation power command value ΔP windref and mechanical parts of wind turbines;

[0027] The frequency modulation power command value is shown in the following formula:

[0028]

[0029] In the formula, K1, C1, K2, and C2 are the control parameters corresponding to the adaptive control strategy, Δf is the system frequency deviation, and t is the duration of the frequency change;

[0030] The mechanical part of the wind turbine generator set includes an overspeed load reduction control method under medium and low wind speeds and a pitch angle load reduction control method under high wind speed conditions;

[0031] Among them, the overspeed load reduction control method is adopted under the medium and low wind speeds, and its mechanical part expression is:

[0032]

[0033] In the formula, is the transfer function expression of the mechanical part of the medium and low wind speed wind turbine, H WTG is the rotor inertia time constant of the wind turbine, ω0 is the initial speed of the wind turbine, k del is the load reduction factor, a1 is the mechanical constant of the wind turbine, and s is the Laplace operator in the Laplace transform;

[0034] Among them, the pitch angle load reduction control method is adopted under the high wind speed condition, and its mechanical part expression is:

[0035]

[0036] In the formula, is the transfer function expression of the mechanical part of the high wind speed wind turbine, T s is the pitch angle delay coefficient, a 11e is the electromagnetic power constant, a 11m is the wind turbine speed coefficient, a 13 is the mechanical power constant, b1 is the wind turbine pitch coefficient, K p , K i are the PI control coefficients in pitch angle control, where K P is the proportional gain coefficient, K i is the integral gain coefficient, and s is the Laplace operator in the Laplace transform.

[0037] Furthermore, the expressions of the inertia response output power and the primary frequency modulation response output power of the grid-type wind turbine are as follows:

[0038]

[0039] P droop =2π·D·(Δf)(8)

[0040] Where P VIC is the inertia response output power, P droop is the output power of the primary frequency modulation response, J is the inertia of the grid-type wind turbine, D is the droop coefficient of the wind turbine, is the frequency change rate of the power system, and Δf is the system frequency deviation.

[0041] Furthermore, the inertia of the wind turbine set is expressed as follows according to the inertia adaptive curve and the droop coefficient curve:

[0042]

[0043] In the formula, J v is the inertia coefficient, D v is the droop coefficient, J min , D min are the minimum values ​​of inertia and droop coefficient, J max , D max is the maximum value of inertia and droop coefficient, T J is the dead zone of inertia adaptive curve change, T D is the dead zone of the droop adaptive curve change. |Δf| After exceeding the dead zone, the fan parameters change, T J , T D The value of T is determined according to (GB / T19963.1-2021) J 0.03Hz, T D 0.03Hz / s, G J is the inertia curve limit, G D K is the droop curve limit, J is the inertia adaptive curve gain coefficient, K D is the droop adaptive curve gain coefficient, and its expression is:

[0044]

[0045] Furthermore, when t is greater than the moment corresponding to the frequency reaching the lowest point, the inertia of the wind turbine set is reduced to the minimum inertia, and the droop coefficient continues to change according to the specified droop adaptive curve.

[0046] A parameter adaptive control device for improving the frequency regulation capability of a grid-type wind turbine generator set, comprising:

[0047] A calculation module is used to infer the magnitude of the disturbance in the system according to the maximum rate of change of the system frequency when the disturbance occurs, and at the same time increase the inertia of the wind turbine to the maximum inertia;

[0048] A substitution module is used to substitute the obtained disturbance data into the system frequency response model to obtain the time when the inertia response output power of the wind turbine set is equal to the primary frequency modulation response output power, and the time when the frequency reaches the lowest point;

[0049] The wind turbine inertia adaptive curve change module is used to change the wind turbine inertia according to the inertia adaptive curve and the droop coefficient according to the droop coefficient curve when the time when the output power of the primary frequency modulation response is equal is less than t and less than or equal to the time when the frequency reaches the lowest point;

[0050] The wind turbine inertia minimum module is used to reduce the wind turbine inertia to the minimum inertia when t is greater than the time corresponding to the frequency reaching the lowest point, and the droop coefficient continues to change according to the specified adaptive curve.

[0051] Furthermore, the device is used to implement any of the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine generator system.

[0052] A computer device comprises a storage medium, a processor and a computer program stored on the storage medium and executable on the processor, wherein when the processor executes the computer program, the steps of any one of the parameter adaptive control methods for improving the frequency regulation capability of a grid-type wind turbine generator set are implemented.

[0053] A computer storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the parameter adaptive control methods for improving the frequency regulation capability of a grid-type wind turbine generator set are implemented.

[0054] The present invention has the following beneficial effects and advantages:

[0055] In view of the problem of insufficient frequency regulation capability of grid-type wind turbines, the present invention proposes a parameter adaptive frequency regulation control method. The entire frequency regulation process is divided into three parts, and different parameter adaptive adjustment strategies are adopted in different time periods to improve the frequency regulation capability of wind turbines. The designed parameter adaptive curve is relatively simple and easy to implement in engineering. At the same time, the present invention utilizes the system frequency response model to quantify the segmentation points between different time periods, avoiding the adaptive control failure or malfunction caused by inaccurate judgment of the system frequency trend based on the monitoring system data in actual engineering. The present invention can also improve the safe operation level of the power grid and the frequency regulation capability of wind turbines.

[0056] In addition, the adaptive control concept provided by the present invention is also highly versatile and is not restricted by doubly-fed, direct-drive and other wind turbine types, filling the technical gap in the adaptive control method for fully realizing the improvement of the frequency regulation capability of grid-connected wind power. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0058] Figure 1 It is a flow chart of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine generator set according to the present invention;

[0059] Figure 2 It is a system frequency response block diagram including adaptive control of wind power grid type generator sets in the present invention. DETAILED DESCRIPTION

[0060] In order to more clearly understand the above-mentioned objectives, features and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0061] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0062] Refer to the following Figure 1 and Figure 2 The technical solutions of some embodiments of the present invention are described.

[0063] Example 1

[0064] The present invention provides an embodiment, which is a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine. Figure 1 As shown, Figure 1 It is a flow chart of the parameter adaptive control method for improving the frequency regulation capability of grid-type wind turbines according to the present invention.

[0065] The present invention divides the frequency modulation process of the grid-type wind turbine generator set into three time periods, and adopts different parameter adaptive control strategies in different time periods. The parameter adaptive curve has a simple shape and is easy to implement in engineering. At the same time, the present invention uses a frequency response model to quickly calculate the time corresponding to the segmentation points between different time periods, avoiding the failure or malfunction of the adaptive control strategy caused by inaccurate segmentation. The method of the present invention can improve the frequency support capability of the grid-type wind turbine generator set, thereby improving the frequency stability of the power system.

[0066] The present invention provides an adaptive control process of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine generator set, comprising the following steps:

[0067] S1. Inversely infer the magnitude of the disturbance in the system based on the maximum rate of change of the system frequency when the disturbance occurs; at the same time, increase the inertia of the wind turbine to the maximum inertia J max , the droop coefficient D remains unchanged;

[0068] S2, substituting the disturbance data obtained in step S1 into the system frequency response model of the parameter adaptive control method containing the frequency modulation capability of the grid-type wind turbine generator set, and obtaining the time t when the inertia response output power of the wind turbine generator set is equal to the primary frequency modulation response output power s , and the time t1 corresponding to the frequency reaching the lowest point;

[0069] S3, when ts When \(t\leq t1\), the inertia of the wind turbine changes according to the inertia self - adaptation curve, and the droop coefficient \(D\) changes according to the droop coefficient curve, where \(t\) is the duration of the load disturbance;

[0070] S4. When \(t > t1\), reduce the inertia \(J\) of the wind turbine to the minimum inertia value \(J\) min , and the droop coefficient \(D\) continues to change according to the specified self - adaptation curve. The \(J\) min is the minimum inertia value.

[0071] Embodiment 2

[0072] The present invention provides an embodiment, which is a parameter self - adaptation control method for improving the frequency modulation ability of a grid - forming wind turbine, including the following steps:

[0073] S1. Inversely deduce the magnitude of the disturbance that occurs in the system based on the maximum change rate of the system frequency when the disturbance occurs; meanwhile, increase the inertia of the wind turbine to the maximum inertia value \(J\) max , and the droop coefficient \(D\) remains unchanged

[0074] S2. Substitute the disturbance data obtained in step S1 into the system frequency response model containing the self - adaptation control method of the grid - forming wind turbine to obtain the moment \(t\) when the inertia response output power and the primary frequency modulation response output power of the wind turbine are equal s , and the moment \(t1\) corresponding to the lowest frequency;

[0075] S3. When \(t\) s \(< t\leq t1\), the inertia of the wind turbine changes according to the inertia self - adaptation curve, and the droop coefficient \(D\) changes according to the droop coefficient curve;

[0076] S4. When \(t > t1\), reduce the inertia \(J\) of the wind turbine to the minimum inertia value \(J\) min , and the droop coefficient \(D\) continues to change according to the specified self - adaptation curve;

[0077] In step S1, inversely deduce the magnitude of the disturbance that occurs in the system based on the maximum change rate of the system frequency when the disturbance occurs; meanwhile, increase the inertia of the wind turbine to the maximum inertia value \(J\) max , and the droop coefficient \(D\) remains unchanged; among them, the formula for inversely deducing the magnitude of the disturbance that occurs in the system using the maximum change rate of the system frequency is as follows:

[0078]

[0079] In the formula, \(\Delta P\) L is the value of the disturbance that occurs in the system, \(H\) is the equivalent inertia time constant of the power system, is the maximum change rate of the power system frequency;

[0080] The maximum inertia J max The value of J is determined according to the onshore wind turbine grid connection standard (GB / T 19963.1-2021). max =1p.u., where J max is the maximum inertia.

[0081] like Figure 2 As shown, Figure 2 It is a system frequency response block diagram including the adaptive control of wind turbine generator sets in the present invention. In step S2, the system frequency response model including the adaptive control method of wind turbine generator sets in the grid is mainly composed of three links: the primary frequency regulation link of the thermal power generator set, the frequency regulation link of the wind turbine generator set and the inertia response link of the thermal power generator set.

[0082] When a load disturbance occurs, the system frequency deviation Δf is calculated through the inertia response link of the thermal power unit.

[0083] (1) The transfer function of the inertia response link of the thermal power unit is shown in the following formula:

[0084]

[0085] In the formula, G V (s) is the inertia response transfer function expression of the thermal power unit in the power grid, d is the wind power penetration rate, H and D are the equivalent inertia time constant and damping time constant of the thermal power unit respectively, and s is the Laplace operator in the Laplace transform;

[0086] (2) The transfer function of the primary frequency regulation link of the thermal power unit is as shown below:

[0087]

[0088] In the formula, G H (s) is the transfer function expression K of the primary frequency regulation link of the thermal power unit in the power grid M is the mechanical gain coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, R is the regulation coefficient of the thermal power unit, d is the wind power penetration rate, and s is the Laplace operator in the Laplace transform;

[0089] (3) The frequency regulation link of the wind turbine generator system includes two parts: the first part generates the frequency regulation power command value ΔP windref , the second part is the mechanical part of the wind turbine.

[0090] The specific expression of the frequency modulation power command value is shown in the following formula:

[0091]

[0092] In the formula, K1, C1, K2, and C2 are the control parameters corresponding to the adaptive control strategy, Δf is the system frequency deviation, and t is the duration of the frequency change;

[0093] Since wind turbines use different control methods at different wind speeds, the mechanical expressions of wind turbines are different. The overspeed load reduction control method is used at medium and low wind speeds, and the mechanical expression is:

[0094]

[0095] In the formula, is the transfer function expression of the mechanical part of the medium and low wind speed wind turbine, H WTG is the rotor inertia time constant of the wind turbine, ω0 is the initial speed of the wind turbine, k del is the load reduction coefficient, a1 is the mechanical constant of the wind turbine, and s is the Laplace operator in the Laplace transform. Under high wind speed conditions, the pitch angle load reduction control method is adopted, and its mechanical part expression is:

[0096]

[0097] In the formula, is the transfer function expression of the mechanical part of the high wind speed wind turbine, T s is the pitch angle delay coefficient, a 11e is the electromagnetic power constant, a 11m is the wind turbine speed coefficient, a 13 is the mechanical power constant, b1 is the wind turbine pitch coefficient, K p , K i are the PI control coefficients in pitch angle control, where K P is the proportional gain coefficient, K i is the integral gain coefficient, and s is the Laplace operator in the Laplace transform.

[0098] In step S2, the expressions of the inertia response output power and the primary frequency modulation response output power of the grid-type wind turbine generator set are respectively:

[0099]

[0100] P droop =2π·D·(Δf) (8)

[0101] Where P VIC is the inertia response output power, P droop is the output power of the primary frequency modulation response, J is the inertia of the grid-type wind turbine, D is the droop coefficient of the wind turbine, is the frequency change rate of the power system, and Δf is the system frequency deviation.

[0102] In step S3, the wind turbine inertia adaptive curve and droop coefficient curve are specified, and their expressions are as follows:

[0103]

[0104] In the formula, J v is the inertia coefficient, D v is the droop coefficient, J min , D min are the minimum values ​​of inertia and droop coefficient, Jmax, D max is the maximum value of inertia and droop coefficient, T J is the dead zone of inertia adaptive curve change, T D is the dead zone of the droop adaptive curve change. After |Δf| exceeds the dead zone, the fan parameters change, T J 、T D The value of T is determined according to (GB / T19963.1-2021) J 0.03Hz, T D 0.03Hz / s. J is the inertia curve limit, G D K is the droop curve limit, J is the inertia adaptive curve gain coefficient, K D is the droop adaptive curve gain coefficient, and its expression is as follows:

[0105]

[0106] In step S4, when t is greater than the time corresponding to the frequency reaching the lowest point, the inertia of the wind turbine set is reduced to the minimum inertia, and the droop coefficient continues to change according to the prescribed droop adaptive curve formula (10).

[0107] The parameter adaptive control strategy provided by the method of the present invention has strong versatility, can be applied to grid-building control and grid-following control, and is not restricted by wind turbine types such as double-fed and direct-drive.

[0108] Example 3

[0109] The present invention further provides an embodiment, which is a parameter adaptive control device for improving the frequency regulation capability of a grid-type wind turbine generator set, comprising:

[0110] A calculation module is used to infer the magnitude of the disturbance in the system according to the maximum rate of change of the system frequency when the disturbance occurs, and at the same time increase the inertia of the wind turbine to the maximum inertia;

[0111] A substitution module is used to substitute the obtained disturbance data into the system frequency response model to obtain the time when the inertia response output power of the wind turbine set is equal to the primary frequency modulation response output power, and the time when the frequency reaches the lowest point;

[0112] The wind turbine inertia adaptive curve change module is used to change the wind turbine inertia according to the inertia adaptive curve and the droop coefficient according to the droop coefficient curve when the time when the output power of the primary frequency modulation response is equal is less than t and less than or equal to the time when the frequency reaches the lowest point;

[0113] The wind turbine inertia minimum module is used to reduce the wind turbine inertia to the minimum inertia when t is greater than the time corresponding to the frequency reaching the lowest point, and the droop coefficient continues to change according to the specified adaptive curve.

[0114] The parameter adaptive control device for improving the frequency regulation capability of a grid-type wind turbine generator set is used to implement the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine generator set described in any one of Embodiments 1 or 2.

[0115] Example 4

[0116] Based on the same inventive concept, an embodiment of the present invention further provides a computer device, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor. When the processor executes the computer program, the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine set described in any one of Embodiments 1 or 2 are implemented.

[0117] Example 5

[0118] Based on the same inventive concept, an embodiment of the present invention also provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine set as described in any one of Embodiments 1 or 2 are implemented.

[0119] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set, characterized in that: include: The magnitude of the disturbance in the system is inferred from the maximum rate of change of the system frequency when the disturbance occurs, and the inertia of the wind turbine is increased to the maximum inertia; Substitute the obtained disturbance data into the system frequency response model to obtain the time when the inertia response output power of the grid-type wind turbine unit is equal to the primary frequency modulation response output power, and the time when the frequency reaches the lowest point; When the time when the output power of the primary frequency modulation response is equal is less than t, and is less than or equal to the time when the frequency reaches the lowest point, the inertia of the wind turbine set changes according to the inertia adaptive curve, and the droop coefficient changes according to the droop coefficient curve; When t is greater than the moment when the frequency reaches the lowest point, the inertia of the wind turbine set is reduced to the minimum inertia, and the droop coefficient continues to change according to the specified adaptive curve.

2. The parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set according to claim 1 is characterized by: The magnitude of the disturbance occurring in the system is inferred from the maximum rate of change of the system frequency when the disturbance occurs, as shown in the following formula: In the formula, ΔP L is the value of the disturbance in the system, H is the equivalent inertia time constant of the power system, is the maximum rate of change of power system frequency.

3. The parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set according to claim 1 is characterized by: The system frequency response model includes: a primary frequency regulation link of a thermal power unit, a frequency regulation link of a wind power unit, and an inertia response link of a thermal power unit; when a load disturbance occurs, the system frequency deviation Δf is calculated through the inertia response link of the thermal power unit; The transfer function of the inertia response link of the thermal power unit is shown in the following formula: In the formula, G V (s) is the inertia response transfer function expression of the thermal power unit in the power grid, d is the wind power penetration rate, H and D are the equivalent inertia time constant and damping time constant of the thermal power unit, respectively, and s is the Laplace operator in the Laplace transform; The transfer function of the primary frequency regulation link of the thermal power unit is shown in the following formula: In the formula, G H (s) is the transfer function expression K of the primary frequency regulation link of the thermal power unit in the power grid M is the mechanical gain coefficient of the thermal power unit, F H is the work coefficient of the prime mover high pressure steam cylinder, T R is the reheating time constant, R is the regulation coefficient of the thermal power unit, d is the wind power penetration rate, and s is the Laplace operator in the Laplace transform; The frequency regulation link of the wind turbine generator set includes: generating a frequency regulation power command value ΔP windref and mechanical parts of wind turbines; The frequency modulation power command value is shown in the following formula: In the formula, K1, C1, K2, and C2 are the control parameters corresponding to the adaptive control strategy, Δf is the system frequency deviation, and t is the duration of the frequency change; The mechanical part of the wind turbine generator set includes an overspeed load reduction control method under medium and low wind speeds and a pitch angle load reduction control method under high wind speed conditions; Among them, the overspeed load reduction control method is adopted under the medium and low wind speeds, and its mechanical part expression is: In the formula, is the transfer function expression of the mechanical part of the medium and low wind speed wind turbine, H WTG is the rotor inertia time constant of the wind turbine, ω0 is the initial speed of the wind turbine, k del is the load reduction factor, a1 is the mechanical constant of the wind turbine, and s is the Laplace operator in the Laplace transform; Among them, the pitch angle load reduction control method is adopted under the high wind speed condition, and its mechanical part expression is: In the formula, is the transfer function expression of the mechanical part of the high wind speed wind turbine, T s is the pitch angle delay coefficient, a 11e is the electromagnetic power constant, a 11m is the wind turbine speed coefficient, a 13 is the mechanical power constant, b1 is the wind turbine pitch coefficient, K p , K i are the PI control coefficients in pitch angle control, where K P is the proportional gain coefficient, K i is the integral gain coefficient, and s is the Laplace operator in the Laplace transform.

4. The parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set according to claim 1 is characterized by: The expressions of the inertia response output power and primary frequency modulation response output power of the grid-type wind turbine are as follows: P droop =2π·D·(Δf) (8) Where P VIC is the inertia response output power, P droop is the output power of the primary frequency modulation response, J is the inertia of the grid-type wind turbine, D is the droop coefficient of the wind turbine, is the frequency change rate of the power system, and Δf is the system frequency deviation.

5. The parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set according to claim 1 is characterized by: The inertia of the wind turbine set is expressed as follows according to the inertia adaptive curve and the droop coefficient curve: In the formula, J v is the inertia coefficient, D v is the droop coefficient, J min , D min are the minimum values ​​of inertia and droop coefficient, J max , D max is the maximum value of inertia and droop coefficient, T J is the dead zone of inertia adaptive curve change, T D is the dead zone of the droop adaptive curve change. |Δf| After exceeding the dead zone, the fan parameters change, T J 、T D The value of T is determined according to (GB / T19963.1-2021) J 0.03Hz, T D 0.03Hz / s, G J is the inertia curve limit, G D K is the droop curve limit, J is the inertia adaptive curve gain coefficient, K D is the droop adaptive curve gain coefficient, and its expression is:

6. The parameter adaptive control method for improving the frequency regulation capability of a grid-connected wind turbine generator set according to claim 1 is characterized by: When t is greater than the moment when the frequency reaches the lowest point, the inertia of the wind turbine set is reduced to the minimum inertia value, and the droop coefficient continues to change according to the specified droop adaptive curve.

7. A parameter adaptive control device for improving the frequency regulation capability of a grid-type wind turbine generator set, characterized in that: include: A calculation module is used to infer the magnitude of the disturbance in the system according to the maximum rate of change of the system frequency when the disturbance occurs, and at the same time increase the inertia of the wind turbine to the maximum inertia; A substitution module is used to substitute the obtained disturbance data into the system frequency response model to obtain the time when the inertia response output power of the wind turbine set is equal to the primary frequency modulation response output power, and the time when the frequency reaches the lowest point; The wind turbine inertia adaptive curve change module is used to change the wind turbine inertia according to the inertia adaptive curve and the droop coefficient according to the droop coefficient curve when the time when the output power of the primary frequency modulation response is equal is less than t and less than or equal to the time when the frequency reaches the lowest point; The wind turbine inertia minimum module is used to reduce the wind turbine inertia to the minimum inertia when t is greater than the time corresponding to the frequency reaching the lowest point, and the droop coefficient continues to change according to the specified adaptive curve.

8. The parameter adaptive control device for improving the frequency regulation capability of a grid-type wind turbine generator set according to claim 7 is characterized in that: The device is used to implement the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine set as described in any one of claims 1 to 6.

9. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine set as described in any one of claims 1 to 6 are implemented.

10. A computer storage medium, characterized in that: The computer storage medium stores a computer program, which, when executed by a processor, implements the steps of a parameter adaptive control method for improving the frequency regulation capability of a grid-type wind turbine set as described in any one of claims 1 to 6.

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