Wind-Storage Joint Primary Frequency Regulation Control Method and System Considering Complex Operating Conditions at the Source

Abstract

This application discloses a wind-storage joint primary frequency regulation control method and system considering complex operating conditions at the source end. The frequency regulation control method includes the following steps: acquiring wind speed data and load data of the wind-storage system; and determining the wind speed frequency deviation Δf based on the wind speed data. wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf s The process involves determining the power of load changes; based on the power of wind speed changes and the power of load changes, determining the current preset operating condition and calculating the power required for frequency regulation; and generating wind turbine droop control commands or energy storage droop control commands for frequency regulation of the wind-storage system based on the current preset operating condition and the power required for frequency regulation. This application improves the frequency regulation capability and wind energy utilization rate of the wind-storage system, and can fully utilize the characteristics of the energy storage system.

Description

Technical Field

[0001] This application relates to the field of frequency regulation control technology, and more specifically, to a wind-storage combined primary frequency regulation control method and system that takes into account complex operating conditions at the source end. Background Technology

[0002] In recent years, the large-scale integration of new energy sources such as wind power has significantly impacted the frequency stability of the power grid. Meanwhile, the advantages of fast response speed in energy storage systems are becoming increasingly apparent, and large-scale energy storage systems have become one of the necessary means to solve the problem of power grid frequency stability. However, they also have drawbacks such as capacity loss and unreasonable power distribution. Currently, in new energy power systems, issues such as the charging and discharging characteristics of energy storage systems and the coordinated control of wind power and energy storage systems in wind power-energy storage systems have become bottlenecks in the development of new power systems.

[0003] There are existing studies on configuring energy storage devices for wind turbines to participate in frequency regulation. These studies include adding supercapacitors to the grid-side DC voltage bus and controlling the charging and discharging power of the capacitors using virtual inertia control and droop control, which improves the frequency regulation effect of the system. However, many studies have neglected the wind energy utilization rate of the wind turbine. When coordinating energy storage with wind turbines, the focus is often on improving the frequency regulation effect, which leads to problems such as reduced wind energy utilization, overcharging and discharging due to mismatched energy storage power, and insufficient recovery of battery state of charge. Some methods do not even include an energy storage charging control scheme in the control scheme, and do not make full use of the charging and discharging function of energy storage. Summary of the Invention

[0004] The summary section of this application is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description section below. This summary section is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0005] Some embodiments of this application propose a wind-storage joint primary frequency regulation control method that takes into account complex operating conditions at the source end, in order to solve the technical problems mentioned in the background section above.

[0006] As a first aspect of this application, some embodiments of this application provide a wind-storage joint primary frequency regulation control method considering complex operating conditions at the source end, comprising:

[0007] S100: Acquire wind speed and load data of the wind storage system;

[0008] S200: The wind speed frequency deviation Δf determined based on the wind speed data wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δfwind Determine the power of wind speed variation, and based on the load frequency deviation Δf s Determine the power of load changes;

[0009] S300: Based on the wind speed change power and the load change power, determine the current preset operating condition and calculate the power required for frequency regulation;

[0010] S400: Based on the current preset operating condition and the power required for frequency regulation, generate a wind turbine droop control command or an energy storage droop control command for frequency regulation of the wind-storage system.

[0011] Optionally, in some embodiments of this application, step S200 includes:

[0012] When the wind speed frequency deviation Δf wind When the wind speed change power is less than a preset threshold, the wind speed reduction power is determined to be P4.

[0013] When the wind speed frequency deviation Δf wind When the wind speed change power is greater than a preset threshold, the wind speed increase power P2 is determined.

[0014] When the load frequency deviation Δf s When the load change power is less than a preset threshold, the load reduction power is determined to be the load decrease power P1.

[0015] When the load frequency deviation Δf s When the load change power is greater than a preset threshold, the load increase power P3 is determined.

[0016] Optionally, in some embodiments of this application, the preset operating conditions in step 300 include:

[0017] When the wind speed change power is the wind speed increase power P2 and the load change power is the load decrease power P1, the current preset working condition is determined to be the first working condition.

[0018] When the wind speed change power is the wind speed reduction power P4 and the load change power is the load reduction power P1, if the sum of the wind speed reduction power P4 and the load reduction power P1 is less than 0, then the current preset working condition is determined to be the second working condition.

[0019] When the wind speed change power is the wind speed increase power P2 and the load change power is the load increase power P3, if the sum of the wind speed increase power P2 and the load increase power P3 is less than 0, then the current preset working condition is determined to be the third working condition.

[0020] When the sum of the wind speed reduction power P4 and the load reduction power P1 is greater than 0, the current preset working condition is determined to be the fourth working condition.

[0021] When the sum of the wind speed increase power P2 and the load increase power P3 is greater than 0, the current preset working condition is determined to be the fifth working condition.

[0022] When the wind speed change power is the wind speed decrease power P4 and the load change power is the load increase power P3, the current preset working condition is determined to be the sixth working condition.

[0023] Optionally, in some embodiments of this application, the preset operating conditions include:

[0024] The first operating condition indicates that the wind speed increases and the load decreases, the system needs to reduce power, and the frequency is regulated by the wind turbine device in the wind storage system or by the energy storage device in the wind storage system.

[0025] The second operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the wind turbine in the wind storage system performs frequency regulation.

[0026] The third operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the wind turbine device in the wind storage system performs frequency regulation.

[0027] The fourth operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation.

[0028] The fifth operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation.

[0029] The sixth operating condition indicates a situation where the wind speed decreases and the load increases, requiring the system to increase its power, and the energy storage device in the wind-storage system performs frequency regulation.

[0030] Optionally, in some embodiments of this application, the formula for the power ΔP required for frequency modulation is as follows:

[0031]

[0032] Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p K is the adaptive droop coefficient of the wind turbine unit in the wind storage system. cn With the K p It is a consistent adaptive droop coefficient.

[0033] Optionally, in some embodiments of this application, the adaptive droop coefficient K of the energy storage device in the wind-storage system is... cn Including the discharge coefficient K cn_disch or / and charging coefficient K cn_ch ;

[0034] Wherein, the discharge coefficient K cn_disch The formula is as follows:

[0035]

[0036] Wherein, the charging coefficient K cnch The formulas are as follows:

[0037] Among them, K M For K cn The maximum value of S; max S min and S low These represent the maximum, minimum, and preset median values ​​of the energy storage state of charge S, respectively; a is the adaptive factor.

[0038] As a second aspect of this application, some embodiments of this application also provide a wind-storage combined primary frequency regulation control system that considers complex operating conditions at the source end, including:

[0039] The data module is used to acquire wind speed and load data of the wind storage system;

[0040] The determining module is used to determine the wind speed frequency deviation Δf based on the wind speed data. wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf s Determine the power of load changes;

[0041] The power module is used to determine the current preset operating condition and calculate the power required for frequency regulation based on the power of wind speed change and the power of load change.

[0042] The instruction module is used to generate a wind turbine droop control instruction or an energy storage droop control instruction for frequency regulation of the wind-storage system based on the current preset operating condition and the power required for frequency regulation.

[0043] Optionally, in some embodiments of this application, the determining module determines the wind speed frequency deviation Δf. windWhen the wind speed change power is less than a preset threshold, the wind speed change power is determined to be the wind speed decrease power P4 or / and the wind speed change power is determined to be the wind speed increase power P2.

[0044] The determining module determines when the load frequency deviation Δf s When the load change power is less than a preset threshold, the load change power is determined to be the load decrease power P1 or / and the load change power is determined to be the load increase power P3.

[0045] Optionally, in some embodiments of this application, when the power module determines the current preset working condition as the first working condition when the wind speed change power is the wind speed increase power P2 and the load change power is the load decrease power P1;

[0046] When the power module determines that the current preset working condition is the second working condition, if the sum of the power decrease in wind speed P4 and the power decrease in load P1 is less than 0, and the power module is the power decrease in wind speed P4 and the power decrease in load P1, the power module determines that the current preset working condition is the second working condition.

[0047] When the power module determines that the current preset working condition is the third working condition, if the sum of the power increase in wind speed P2 and the power increase in load P3 is less than 0, and the power module is the power increase in wind speed P2 and the power increase in load P3, the power module is the power module when the power change in wind speed is the power increase in wind speed P2 and the power increase in load P3 is less than 0.

[0048] When the sum of the wind speed reduction power P4 and the load reduction power P1 is greater than 0, the power module determines that the current preset working condition is the fourth working condition.

[0049] When the sum of the wind speed increase power P2 and the load increase power P3 is greater than 0, the power module determines that the current preset working condition is the fifth working condition.

[0050] When the power change of wind speed is the power of wind speed decrease P4 and the power change of load is the power of load increase P3, the power module determines that the current preset working condition is the sixth working condition.

[0051] The first operating condition indicates that the wind speed increases and the load decreases, the system needs to reduce power, and the frequency is regulated by the wind turbine device in the wind storage system or by the energy storage device in the wind storage system.

[0052] The second operating condition is used to indicate a situation where the wind speed decreases and the load decreases, the system cannot determine the power demand, and the wind turbine device in the wind storage system performs frequency regulation.

[0053] The third operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the wind turbine device in the wind storage system will adjust the frequency.

[0054] The fourth operating condition is used to indicate a situation where the wind speed decreases and the load decreases, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation.

[0055] The fifth operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the energy storage device in the wind storage system will adjust the frequency.

[0056] The sixth operating condition indicates that the wind speed decreases and the load increases, requiring the system to increase power, and the energy storage device in the wind storage system is used for frequency regulation.

[0057] Optionally, in some embodiments of this application, the power module calculates the power ΔP required for frequency modulation using the following formula:

[0058]

[0059] Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p K is the adaptive droop coefficient of the wind turbine unit in the wind storage system. cn With the K p It is a consistent adaptive droop coefficient;

[0060] The adaptive droop coefficient K of the energy storage device in the wind storage system cn Including the discharge coefficient K cn_disch or / and charging coefficient K cn_ch ;

[0061] Wherein, the discharge coefficient K cn_disch The formula is as follows:

[0062]

[0063] Wherein, the charging coefficient K cn_ch The formulas are as follows:

[0064]

[0065] Among them, K M For K cn The maximum value of S; max S min and S low These represent the maximum, minimum, and preset median values ​​of the energy storage state of charge S, respectively; a is the adaptive factor.

[0066] The beneficial effects of this application are: it provides a wind-storage combined primary frequency regulation control method and system that can improve energy storage utilization by considering complex operating conditions at the source end.

[0067] More specifically, some embodiments of this application may produce the following specific beneficial effects:

[0068] It improves the frequency regulation capability and wind energy utilization rate of the wind storage system, giving full play to the characteristics of stable performance, flexible control and fast response of the energy storage system, and reducing the impact on the power grid caused by frequency changes.

[0069] By utilizing the rapid response characteristics of battery energy storage systems, the energy generated by wind turbines can be converted into electrical energy, enabling wind turbines and energy storage to work together to participate in grid frequency regulation.

[0070] This application takes into account the charging and discharging function of energy storage, improves the utilization rate of energy storage, and makes the frequency deviation of the wind storage system lower and the frequency regulation time shorter after one frequency regulation, thereby achieving the purpose of improving the frequency regulation effect and obtaining a higher wind energy utilization rate.

[0071] This application addresses the power mismatch problem caused by inconsistent coefficients during operating condition switching by matching the droop coefficient of the wind turbine and the droop coefficient of the energy storage to obtain a more accurate power command, avoid excessive supplementation of power deficit by the energy storage, and achieve better frequency recovery effect.

[0072] The adaptive droop coefficient proposed in this application provides better recovery of the state of charge of energy storage, greatly improving the utilization rate of energy storage and enhancing the frequency regulation effect. Attached Figure Description

[0073] The accompanying drawings, which form part of this application, are used to provide a further understanding of the application and to make other features, objects, and advantages of the application more apparent. The illustrative embodiments and descriptions of this application are used to explain the application and do not constitute an undue limitation of the application.

[0074] Furthermore, throughout the accompanying drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the elements are not necessarily drawn to scale.

[0075] In the attached diagram:

[0076] Figure 1 This is a schematic diagram of the wind and energy storage joint primary frequency regulation control method and system architecture provided in this application, which takes into account complex operating conditions at the source end.

[0077] Figure 2 This is a schematic diagram of the frequency dynamic response model of the wind-storage system of the wind-storage joint primary frequency regulation control method and system considering complex operating conditions at the source end provided in this application.

[0078] Figure 3 This is a schematic diagram of the frequency separation control principle of the wind-storage system of the wind-storage joint primary frequency regulation control method and system considering complex operating conditions at the source end, provided in this application.

[0079] Figure 4 This is a flowchart of the steps of the wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end provided in this application;

[0080] Figure 5 This is the control logic block diagram of the first frequency regulation control scheme (adaptive droop coefficient inconsistency) of the wind-storage joint primary frequency regulation control method considering complex operating conditions at the source end provided in this application.

[0081] Figure 6 This is a schematic diagram of the energy storage output of the first frequency regulation control scheme (adaptive droop coefficient inconsistent) and the second frequency regulation control scheme (adaptive droop coefficient consistent) of the wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end provided in this application.

[0082] Figure 7 This is a schematic diagram of the frequency deviation between the first frequency regulation control scheme (adaptive droop coefficient inconsistency) and the second frequency regulation control scheme (adaptive droop coefficient consistent) of the wind-storage joint primary frequency regulation control method considering complex operating conditions at the source end provided in this application.

[0083] Figure 8 This is a power diagram showing the switching between the first frequency regulation control scheme (adaptive droop coefficient inconsistent) and the second frequency regulation control scheme (adaptive droop coefficient consistent) of the wind-storage joint primary frequency regulation control method provided in this application, which considers complex operating conditions at the source end.

[0084] Figure 9 This is the control logic block diagram of the second frequency regulation control scheme (with consistent coefficients) of the wind-storage joint primary frequency regulation control method considering complex operating conditions at the source end provided in this application;

[0085] Figure 10 This is a control flowchart of the second frequency regulation control scheme of the wind-storage combined primary frequency regulation control method provided in this application, which considers complex operating conditions at the source end;

[0086] Figure 11 This is a schematic diagram showing the frequency deviation between the first and second frequency regulation control schemes of the wind-storage combined primary frequency regulation control method provided in this application, which considers complex operating conditions at the source end, and the existing frequency regulation control method with a fixed energy storage droop coefficient.

[0087] Figure 12This is a schematic diagram of the energy storage output power of the first and second frequency regulation control schemes of the wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end provided in this application, compared with the existing frequency regulation control method with a fixed energy storage droop coefficient.

[0088] Figure 13 This application provides a first and second frequency regulation control scheme for a wind-storage combined primary frequency regulation control method considering complex source-end operating conditions, comparing the rotor speed and S of the existing frequency regulation control method with a fixed energy storage droop coefficient. OC A diagram illustrating the changes;

[0089] Figure 14 yes Figure 11 A schematic diagram of the frequency deviation during the 80s to 120s period;

[0090] Figure 15 This is a schematic diagram of the wind-storage combined primary frequency regulation control system used in the second frequency regulation control scheme of the wind-storage combined primary frequency regulation control method for considering complex operating conditions at the source end provided in this application. Detailed Implementation

[0091] Embodiments of this application will now be described in more detail with reference to the accompanying drawings. While some embodiments of this application are shown in the drawings, it should be understood that this application can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this application. It should be understood that the drawings and embodiments of this application are for illustrative purposes only and are not intended to limit the scope of protection of this application.

[0092] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described herein can be combined with each other.

[0093] It should be noted that the concepts of "first" and "second" mentioned in this application are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0094] It should be noted that the terms "a" and "a plurality of" used in this application are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0095] The names of the messages or information exchanged between multiple devices in the embodiments of this application are for illustrative purposes only and are not intended to limit the scope of these messages or information.

[0096] The present application will now be described in detail with reference to the accompanying drawings and embodiments.

[0097] Reference Figure 1 As shown, the wind-storage system of this application mainly includes: a wind farm, an energy storage device, a power converter, and a load. The energy storage device within the wind-storage system is used to achieve frequency regulation.

[0098] The wind-storage system can use a bidirectional DC / AC converter to control the charging and discharging of the energy storage device. The active power generated by the wind farm and the charging power of the batteries in the energy storage device's battery pack are controlled by the bidirectional DC / AC converter and connected to the AC power grid.

[0099] Reference Figure 2 As shown, Figure 2 An exemplary frequency dynamic response model of a single-unit system in the wind storage system of this application is shown.

[0100] The formula for this frequency response model is expressed as follows:

[0101]

[0102] Among them, P D For load disturbance; P W P represents wind power; M Δf is the output power of the synchronous generator; Δf is the system frequency deviation.

[0103] In this frequency dynamic response model, in the formula In this context, H is the inertial time constant of the power grid, D is the damping coefficient of the power grid, and s is the Laplace operator.

[0104] In this frequency dynamic response model, in the formula In the middle, K m F is the mechanical power gain coefficient. H T represents a portion of the power generated by the high-pressure steam turbine unit. R Let be the reheat time constant, s be the Laplace operator, and R be the droop coefficient of the synchronous generator. The result of this formula will be defined as G(s) in the following text.

[0105] To better respond to fluctuations in wind power and load power, the frequency deviations caused by these fluctuations are separated and used to set power commands. The specific method is as follows:

[0106] If the wind power and the output power of the synchronous generator remain unchanged, i.e., P W and P M All are 0. The system frequency deviation Δf caused by load power fluctuations. s The expression for the system transfer function is:

[0107]

[0108] Correspondingly, the expression for the system transfer function of the system frequency deviation caused by wind power fluctuations is:

[0109]

[0110] Reference Figure 3 As shown, the separated signals are used to determine the power deficit at the source and load ends, and to calculate the power command required for the control scheme, which is then sent to the wind turbine controller or energy storage controller for power allocation. The wind turbine controller (hereinafter referred to as the wind controller) employs a combined inertial control system combining droop control and virtual inertial control, while the energy storage controller (hereinafter referred to as the storage controller) uses droop control.

[0111] The load fluctuation power of the wind-storage system is partially compensated by wind power, and the other part is compensated by the power of energy storage droop control or wind turbine droop control. Therefore, it is necessary to calculate the power difference required for frequency regulation. This power difference can correspond to the power deficit of energy storage or the power supplement provided by the wind turbine. For ease of explanation, the power difference required for frequency regulation is defined as: power required for frequency regulation ΔP.

[0112] See also Figure 4 , Figure 4 This is a flowchart illustrating the steps of a wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end, as provided in this application. Figure 4 As shown, the frequency modulation control method includes the following steps:

[0113] S100: Acquire wind speed and load data of the wind storage system;

[0114] S200: The wind speed frequency deviation Δf determined based on the wind speed data wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf s Determine the power of load changes;

[0115] S300: Based on the wind speed change power and the load change power, determine the current preset operating condition and calculate the power required for frequency regulation;

[0116] S400: Based on the current preset operating condition and the power required for frequency regulation, generate a wind turbine droop control command or an energy storage droop control command for frequency regulation of the wind-storage system.

[0117] In some embodiments, specifically, step S200 includes:

[0118] When the wind speed frequency deviation Δf wind When the wind speed change power is less than a preset threshold, the wind speed reduction power is determined to be P4.

[0119] When the wind speed frequency deviation Δf wind When the wind speed change power is greater than a preset threshold, the wind speed increase power P2 is determined.

[0120] When the load frequency deviation Δf s When the load change power is less than a preset threshold, the load reduction power is determined to be the load decrease power P1.

[0121] When the load frequency deviation Δf s When the load change power is greater than a preset threshold, the load increase power P3 is determined.

[0122] Considering the uncertainty of simultaneous random fluctuations in load and wind speed, this application subdivides the changes at both the source and load ends into six different operating conditions to achieve coordinated participation of wind turbines and energy storage in frequency regulation. Specifically, six operating conditions (condition 1, condition 2, condition 3, condition 4, condition 5, and condition 6) are designed based on load and wind speed fluctuations, and a set criterion is used to switch between different operating conditions. Details of the six operating conditions are shown in Table 1. Condition 1, condition 2, condition 3, condition 4, condition 5, and condition 6 are defined as operating condition 1 (abbreviated as condition 1), operating condition 2 (abbreviated as condition 2), operating condition 3 (abbreviated as condition 3), operating condition 4 (abbreviated as condition 4), operating condition 5 (abbreviated as condition 5), and operating condition 6 (abbreviated as condition 6), respectively.

[0123] Table 1 shows the wind speed variation, load variation, power deficit, switching rules, and frequency regulation selection corresponding to the operating conditions of the wind-storage system in this application.

[0124]

[0125]

[0126] Based on Table 1, optionally, step S300 above includes:

[0127] When the wind speed change power is the wind speed increase power P2 and the load change power is the load decrease power P1, the current preset working condition is determined to be the first working condition.

[0128] When the wind speed change power is the wind speed reduction power P4 and the load change power is the load reduction power P1, if the sum of the wind speed reduction power P4 and the load reduction power P1 is less than 0, then the current preset working condition is determined to be the second working condition; if the sum of the wind speed reduction power P4 and the load reduction power P1 is greater than 0, then the current preset working condition is determined to be the fourth working condition.

[0129] When the wind speed change power is the wind speed increase power P2 and the load change power is the load increase power P3, if the sum of the wind speed increase power P2 and the load increase power P3 is less than 0, then the current preset working condition is determined to be the third working condition; if the sum of the wind speed increase power P2 and the load increase power P3 is greater than 0, then the current preset working condition is determined to be the fifth working condition.

[0130] When the wind speed change power is the wind speed decrease power P4 and the load change power is the load increase power P3, the current preset working condition is determined to be the sixth working condition.

[0131] The system is configured with the following operating conditions: First condition: indicating an increase in wind speed and a decrease in load, requiring the system to reduce power, and frequency regulation is performed by either the wind turbine or the energy storage device within the wind-storage system. Second condition: indicating a decrease in wind speed and a decrease in load, where the system cannot determine power demand, and frequency regulation is performed by the wind turbine within the wind-storage system. Third condition: indicating an increase in wind speed and a increase in load, where the system cannot determine power demand, and frequency regulation is performed by the wind turbine within the wind-storage system. Fourth condition: indicating a decrease in wind speed and a decrease in load, where the system cannot determine power demand, and frequency regulation is performed by the energy storage device within the wind-storage system. Fifth condition: indicating an increase in wind speed and a increase in load, where the system cannot determine power demand, and frequency regulation is performed by the energy storage device within the wind-storage system. Sixth condition: indicating a decrease in wind speed and an increase in load, requiring the system to increase power, and frequency regulation is performed by the energy storage device within the wind-storage system.

[0132] The following sections will introduce the wind-storage combined primary frequency regulation control method provided in this application, which considers complex operating conditions at the source end, from two aspects: the first frequency regulation control scheme based on inconsistent adaptive droop coefficients (adaptive droop coefficient inconsistency) and the second frequency regulation control scheme based on consistent adaptive droop coefficients (adaptive droop coefficient consistency).

[0133] Table 2 shows the wind speed variation, load variation, power deficit, switching rules, and frequency modulation selection corresponding to the operating conditions of the first frequency modulation control scheme.

[0134]

[0135] See also Figure 5 And Table 2, Figure 5 This application provides a control logic block diagram for a wind-storage combined primary frequency regulation control method considering complex source-end operating conditions (first frequency regulation control scheme, inconsistent adaptive droop coefficient). Table 2 shows the wind speed variation, load variation, power deficit, switching rules, and frequency regulation selection corresponding to the operating conditions of the first frequency regulation control scheme. (Refer to...) Figure 5 As shown, the power ΔP required for frequency regulation by the wind-storage system can be obtained by the following formula:

[0136] ΔP=K drop Δf s +K SCSS Δf wind

[0137] Among them, K SCSS K is the adaptive droop coefficient for energy storage. drop K represents the adaptive droop coefficient for the wind turbine. drop With K SCSS All designs were negative. The study found that when the wind turbine's adaptive droop coefficient K... drop With the adaptive droop coefficient K of energy storage SCSS Inconsistencies can lead to inaccurate power compensation during frequency regulation due to the calculated values. This is because, when changes in wind power and load power are opposite and can compensate for each other, the following relationship exists:

[0138] |Δf s |=|Δf wind |

[0139] At this point, no additional frequency regulation power is needed to compensate. However, due to the wind turbine's adaptive droop coefficient K... drop With the adaptive droop coefficient K of energy storage SCSS Inconsistency will lead to the calculation of non-zero power ΔP required for frequency regulation, resulting in the wind-storage system outputting incorrect power demand and causing over-regulation.

[0140] For example, if K drop If the absolute value is larger, the fan needs to reduce its power output. Let the power reduction of the fan be ΔP1; if K SCSS If the absolute value of ΔP1 is larger, then energy storage discharge is needed to compensate for the power deficit, assuming the discharge power is ΔP2. Both of the above cases represent excessive compensation for the power deficit. The formulas for ΔP1 and ΔP2 are shown below:

[0141]

[0142] In view of this, this application provides a second frequency regulation control scheme based on the first frequency regulation control scheme and the consistent adaptive droop coefficient. The second frequency regulation control scheme demonstrates a wind-storage joint primary frequency regulation control method and system that considers complex operating conditions at the source end, which further improves the control effect of wind-storage joint participation in grid primary frequency regulation and the wind energy utilization rate of wind turbine units.

[0143] The control logic block diagram of a wind-storage combined primary frequency regulation control method (second frequency regulation control scheme, consistent adaptive droop coefficient) considering complex operating conditions at the source end of this application is as follows: Figure 9 As shown in the diagram. The blue dashed box indicates the maximum power point tracking control of the wind turbine; the orange dashed box indicates the power command for the integrated inertial control of the wind turbine; the purple dashed box indicates the power command for the energy storage droop control; the green dashed box indicates the judgment of load and wind speed increases / decreases and the calculation of power commands; and the red dashed box indicates the operating condition switching rules.

[0144] Table 3 shows the wind speed variation, load variation, power deficit, switching rules, and frequency selection corresponding to the operating conditions of the second frequency regulation control scheme.

[0145]

[0146] Reference Figure 9 As shown, the control logic block diagram of the second frequency regulation control scheme (with consistent adaptive droop coefficient) of the wind-storage joint primary frequency regulation control method considering complex source-end operating conditions provided in this application is shown. Table 3 shows the wind speed change, load change, power deficit, switching rules, and frequency regulation selection corresponding to the operating conditions of the second frequency regulation control scheme. The mathematical model of the wind-storage joint primary frequency regulation control method (second frequency regulation control scheme, with consistent adaptive droop coefficient) considering complex source-end operating conditions in this application uses the following formula:

[0147] P W =P MPPT +P5+P drop

[0148] P total =P W +P cn

[0149] Among them, P MPPT For maximum power point tracking; P cn For energy storage, droop control output power; P drop P is the power for controlling the droop of the fan. total P5 is the sum of wind power and energy storage power; P5 is the power that the wind turbine provides for the required inertial support throughout the entire frequency regulation process.

[0150]

[0151] P5 can be calculated using the following formula:

[0152] In the formula, K f It is the inertial control coefficient, f s It is the frequency of the power grid.

[0153] like Figure 9 As shown, operating condition switching 1 (first operating condition), 4 (fourth operating condition), 5 (fifth operating condition), and 6 (sixth operating condition) are for energy storage droop control; operating condition switching 2 (second operating condition) and 3 (third operating condition) are for wind turbine droop control; 7 represents the output power of energy storage; and 8 represents the output power of wind turbine droop control. Δf s The frequency change caused by load variation, i.e., the load frequency deviation; Δf wind The frequency change caused by wind speed variation, i.e., wind speed frequency deviation; K p To take into account the adaptive droop control coefficient of the wind turbine unit during power matching during operating condition switching; K cn To take into account the adaptive droop control coefficient of the energy storage device during power matching during operating condition switching; P cn_1 P represents the power required for energy storage to participate in frequency regulation under the first operating condition. cn_2 This is the power required for energy storage to participate in frequency regulation under the sixth operating condition; P sel_1 P represents the power required for frequency modulation in the second and fourth operating conditions. sel_2 The power required for frequency modulation in the third and fifth operating conditions; P cn For energy storage, droop control output power; P drop P is the power for controlling the droop of the fan. W P represents wind power; total It is the sum of wind power and energy storage power.

[0154] It should be noted that, in order to distinguish the two frequency regulation control schemes of the wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end provided in this application, the adaptive droop control coefficients of the wind turbine and the energy storage device in the two frequency regulation control schemes are expressed by different parameters.

[0155] According to the "Test Methods for Wind Turbine Units," the frequency regulation dead zone is set to |Δf|≤0.03Hz. Considering that energy storage charging and discharging will shorten its lifespan and to leverage the advantages of wind turbine control, this application adopts a joint frequency regulation control scheme for wind turbines and energy storage (the second frequency regulation control scheme, with the same adaptive droop coefficient). The control flow based on the model and formulas of the aforementioned second frequency regulation control scheme is as follows: Figure 10 As shown, the details are as follows:

[0156] S1: Simultaneously detects wind speed and load;

[0157] S2: Calculate the wind speed frequency deviation Δf wind and load frequency deviation Δf s And the wind speed frequency deviation Δf wind and load frequency deviation Δf s After passing through the dead zone, according to Δf wind Whether it is less than -0.03, the values ​​of power P2 for increasing wind speed and power P4 for decreasing wind speed are obtained, as well as Δf. s The value is less than -0.03 to determine the power P1 for load reduction and the power P3 for load increase.

[0158] S3: Calculate the power P obtained by adding the load reduction power P1 and the wind speed reduction power P4. sel_1 The power P obtained by adding the power P2 from the increase in wind speed and the power P3 from the increase in load sel_2 And determine whether the two are <0, and calculate the power P required for energy storage to participate in frequency regulation under the first operating condition based on the load reduction power P1 and the wind speed increase power P2. cn_1 The power P required for energy storage to participate in frequency regulation under operating condition six is ​​calculated based on the increased load power P3 and the decreased wind speed power P4. cn_2 ;

[0159] S4: Combining P sel_1 and P sel_2 The judgment result, P cn_1 and P cn_2 The value of P5, and the value of inertial control P5, output the fan droop control command (when P... sel_1 Or P sel_2 When the value is less than 0, the frequency regulation is participated in by the droop control power of the wind turbine and the virtual inertial control command of the wind turbine, or the droop control command of the energy storage and the virtual inertial control command of the wind turbine.

[0160] As can be seen from the above, the operating conditions and judgment methods of the second frequency modulation control scheme are summarized as follows:

[0161] First operating condition: Wind speed and load disturbance are detected simultaneously, and a frequency adjustment dead zone is set. When the system load decreases and requires power P1 to reduce the load, and the wind speed increases and requires power P2 to increase the wind speed, the system switches to the first operating condition. In this case, the charging power P is provided by the energy storage. cn_1 (P1+P2). Additionally, the power P5 provided by the wind turbine to support the required inertia.

[0162] When both load and wind speed decrease simultaneously, the operating conditions can be divided into the second and fourth conditions; when both load and wind speed increase simultaneously, the operating conditions can be divided into the third and fifth conditions.

[0163] Operating conditions 2 and 4: When the load decreases, a load reduction power P1 is needed, and when the wind speed decreases, a wind speed reduction power P4 is needed. In this case, the sum of the two power values ​​(i.e., P) needs to be calculated. sel_2 =P1+P4) is compared with 0. When P sel_2 When P is less than 0, the system switches to the second operating mode, where frequency regulation is achieved by droop control of the fan; when P... sel_2 When the value is greater than 0, the system switches to the fourth operating mode, where frequency regulation is achieved by droop control using energy storage. Additionally, the wind turbine provides the required inertial support power P5.

[0164] Operating conditions three and five: When both the increased load requiring increased power P3 and the increased wind speed requiring increased power P2 occur simultaneously, the sum of the two power values ​​(i.e., P2) needs to be calculated. sel_1 =P2+P3) is compared with 0. When P sel_1 When P is less than 0, switch to the third operating condition, and frequency regulation is achieved by droop control of the fan; when P sel_1 When the value is greater than 0, the system switches to the fifth operating mode, where frequency regulation is achieved by droop control using energy storage. Additionally, the wind turbine provides the required inertial support power P5.

[0165] Operating Condition 6: When the load increases, requiring power P3 to increase the load, and the wind speed decreases, requiring power P4 to decrease the wind speed, switch to Operating Condition 6. At this time, the power P input from the energy storage device to the grid through the grid-side converter... cn_2 =P3 + P4. Additionally, the power P5 provided by the wind turbine to support the required inertia.

[0166] When the adaptive droop coefficient is consistent, the energy storage output is compared with that when the adaptive droop coefficient is inconsistent (output under the fourth operating condition) as follows: Figure 6 As shown. When the adaptive droop coefficients are inconsistent, the output power increases significantly, meaning the calculated power required for frequency modulation ΔP is inaccurate, resulting in excessive power compensation and increased frequency deviation. The frequency deviation is comparable to... Figure 7 As shown.

[0167] In addition to the power mismatch problem mentioned above, the first frequency modulation control scheme based on the inconsistent adaptive droop coefficient also has the following shortcomings:

[0168] Energy storage discharges frequently during the frequency smoothing control process. When the power required for frequency regulation, ΔP, is greater than 0, indicating the need for supplementary positive power, the system switches to energy storage control to participate in frequency regulation. The operating conditions for switching to energy storage discharge include the fourth, fifth, and sixth operating conditions shown in Tables 1-3 above. Therefore, the energy storage discharge in the first frequency regulation control scheme will quickly reach the lower limit of the battery, requiring a higher initial capacity for energy storage and consequently increasing costs.

[0169] This results in increasingly poor frequency regulation performance of the energy storage system. Furthermore, because the adaptive droop coefficient of the energy storage system is very low, the calculated power required for frequency regulation, ΔP, is always less than 0. Therefore, the system should switch to the fourth operating condition of energy storage frequency regulation. However, due to the coefficient mismatch, the power required for frequency regulation, ΔP, is less than 0, leading to a switch to the second operating condition of wind turbine droop control. This indicates an error in the operating condition switching process.

[0170] like Figure 8 As shown, Figure 8 It shows the difference in the required power ΔP for frequency modulation corresponding to different coefficients, with opposite signs, leading to incorrect judgment of operating conditions.

[0171] Compared with the first frequency regulation control scheme, the second frequency regulation control scheme adopts a consistent adaptive droop coefficient, which can avoid over-compensation of power and incorrect judgment of operating conditions, thus improving the effect of frequency regulation. In addition, the second frequency regulation control scheme charges the energy storage instead of reducing the power output of the fan under operating conditions, and sets an adaptive droop coefficient for the energy storage, making full use of the charging and discharging function of the energy storage, and well balancing the frequency regulation requirements and the state of charge of the energy storage.

[0172] This application addresses the uncertainty of simultaneous random fluctuations in load and wind speed by controlling the situation under the aforementioned six operating conditions, among which... Figure 6 and Figure 7 The second frequency regulation control scheme shown fully leverages the stable performance, flexible control, and rapid response characteristics of the energy storage system. It fully utilizes the wind turbine's own frequency regulation capability, adjusting the turbine's output to stabilize the grid frequency and reduce the impact on the grid caused by frequency changes. By utilizing the rapid response characteristics of the battery energy storage system, the energy generated by the wind turbine is converted into electrical energy, enabling the wind turbine and energy storage to cooperate in grid frequency regulation.

[0173] The second frequency regulation control scheme for the first operating condition (reduced load and increased wind speed) modifies the first scheme, where the wind turbine uses droop control for frequency regulation. Instead, the energy storage system uses droop control. This means the power command under this condition is transmitted to the energy storage system, allowing it to achieve frequency regulation. Ultimately, this enables the energy storage system to charge, and the frequency regulation effect of the energy storage system is better than that of the original wind turbine system. Furthermore, the wind energy utilization rate of the wind turbine is also improved.

[0174] To address the issues of inconsistent adaptive droop coefficients leading to excessive power shortfall and inaccurate mode switching when comparing the sum of power to zero in the second and fourth operating conditions, this application sets an adaptive droop coefficient K for the energy storage device that matches the wind turbine device. cn That is, to make the adaptive sag coefficient K of the fan unit p Adaptive droop coefficient K of energy storage device cn Maintain consistency, i.e., K cn =Kp .

[0175] This avoids situations where, during power comparison, different coefficients lead to over-compensation for power deficits caused by energy storage or wind turbines exceeding their output, as well as inaccurate switching. The improved formula for calculating the required power ΔP for frequency regulation is shown below:

[0176] ΔP=K p Δf s +K cn Δf wind

[0177] When the adaptive droop coefficient K of the fan unit is consistent with the adaptive droop coefficient, p Adaptive droop coefficient K of energy storage device cn In this case, the factors affecting the power ΔP required for frequency regulation were simplified during the calculation process. Under the condition that the wind speed and load increase or decrease at the same time, the power ΔP required for frequency regulation can be accurately calculated.

[0178]

[0179] Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p This is the adaptive droop coefficient of the wind turbine unit in the wind-storage system.

[0180] To prevent S from energy storage devices OC (State of Charge, referring to the energy storage device's electrical state, generally the ratio of current charge to rated charge, also known as the energy storage state of charge S) quickly reaches its upper and lower limits, affecting the frequency regulation effect of the energy storage device. This application improves upon the original adaptive droop coefficient by adopting a Sigmoid function (S-shaped function) curve, which allows the S-shape of the energy storage device to... OC Maintaining within a moderate range, it participates in frequency modulation with optimal output. K cn It can be further subdivided into a discharge coefficient K cn_disch A charging coefficient K cn_ch As shown in the following formula:

[0181]

[0182] Among them, K M The adaptive droop coefficient K for the energy storage device cn The maximum value of S; max S min and S lowThese represent the maximum, minimum, and preset intermediate values ​​of the energy storage state of charge S, respectively; 'a' is an adaptive factor for the design coefficient, the magnitude of which can change the coefficient. In the technical solution of this application, 'a' can take any value from 12 to 17, with a preferred value of 15.

[0183] When energy storage S OC When the value is too high, set the energy storage discharge coefficient to the maximum value so that the battery's S OC Slowing down the rate at which the energy storage reaches its limit, similarly, when the energy storage S OC When the value is too low, set the energy storage charging coefficient to the maximum value so that the battery's S OC Able to recover faster, with S OC Increasing the charging coefficient decreases it. (The last part, "S", appears to be an unrelated fragment and is left untranslat OC Divide into three regions, for example, you can set a lower limit S. min The value is 0.1, and the median value is S. low The value is 0.5, and the upper limit is S. max It is 0.9. Wherein, the lower limit S min The value ranges from 0.07 to 0.15; the median value is S. low The value range is from 0.45 to 0.618; the upper limit is S. max The value ranges from 0.83 to 0.91.

[0184] As a preferred approach, a parameter matching model can be trained using previous historical data. This parameter matching model is a neural network model, specifically a convolutional neural network model.

[0185] The purpose of setting the parameter matching model is to configure S according to specific circumstances. max S min S low and a.

[0186] Δf s and Δf wind And the energy storage state of charge S as input data, S max S min S low The parameter matching model is trained using 'a' as output data. This allows for the optimal selection of a large amount of historical data to train a dynamically outputting S. max S min S low The model of 'a' greatly improves the accuracy of the control scheme.

[0187] That is, configure a parameter matching model so that Δf s and Δf wind And the energy storage state of charge S is used as input data to make the parameter match the model's dynamic output S. max S minS low And a. The output frequency can be configured according to control requirements.

[0188] As another preferred option, and as a further improvement, Δf can be... s and Δf wind And the energy storage state of charge S as input data, with K cn_disch and K cn_ch Use the output data to train a coefficient matching model.

[0189] That is, to configure a coefficient matching model so that Δf s and Δf wind And the energy storage state of charge S is used as input data to enable the coefficient matching model to dynamically output Δf s and Δf wind The coefficient matching model can also be a convolutional neural network.

[0190] The technical solution of this application improves the frequency regulation capability and wind energy utilization rate of the wind-storage system, fully leverages the stable performance, flexible control, and rapid response characteristics of the energy storage system, and reduces the impact on the power grid caused by frequency changes. Furthermore, by utilizing the rapid response characteristics of the battery energy storage system, the energy generated by the wind turbine is converted into electrical energy, enabling the wind turbine and energy storage to cooperate in grid frequency regulation.

[0191] This application takes into account the charging and discharging function of energy storage, improves the utilization rate of energy storage, and makes the frequency deviation of the wind storage system lower and the frequency regulation time shorter after the first frequency regulation, thereby achieving the purpose of improving the frequency regulation effect and obtaining a higher wind energy utilization rate.

[0192] This application addresses the power mismatch problem caused by inconsistent adaptive droop coefficients during operating condition switching. It matches the adaptive droop coefficients of the wind turbine and the energy storage device to obtain more accurate power commands, avoids excessive supplementation of power deficit by energy storage, and achieves better frequency recovery.

[0193] The adaptive droop coefficient proposed in this application provides better recovery of the state of charge of the energy storage device, greatly improving the utilization rate of the energy storage device and improving the frequency regulation effect.

[0194] Effect verification

[0195] The following describes the frequency modulation effect of this application with reference to experimental results.

[0196] A wind-storage system containing both a wind turbine and an energy storage unit can be used as the research object, and its effectiveness can be verified in MATLAB / Simulink. The total simulation time is set to 200 seconds, and the relevant parameters are shown in Table 4.

[0197] Table 4 Simulation Parameter Settings

[0198]

[0199] The existing frequency regulation control method with fixed energy storage droop coefficient (traditional wind-storage joint frequency regulation) is compared with the first and second frequency regulation control schemes provided in this application.

[0200] like Figure 11 As shown, Figure 11 Table 5 shows the system frequency variation of wind turbines participating in system frequency regulation under three different frequency regulation control methods, and the corresponding average frequency deviation and average wind energy utilization coefficient are shown in Table 5.

[0201] Table 5 Average Frequency Deviation and Average Wind Energy Utilization Coefficient

[0202] Control strategy Average frequency deviation / Hz Average wind energy utilization coefficient Fixed energy storage droop factor 0.011 0.4569 The first frequency modulation control scheme 0.0073 0.4587 The second frequency modulation control scheme 0.0025 0.4588

[0203] Reference Figure 11 As shown in Table 5, under the condition of simultaneous random fluctuations in wind speed and load, the maximum frequency deviation fluctuation range for the fixed energy storage droop coefficient is -0.053Hz to 0.052Hz; the maximum frequency deviation fluctuation range for the first frequency regulation control scheme is -0.053Hz to 0.08Hz; and the maximum frequency deviation fluctuation range for the second frequency regulation control scheme is -0.048Hz to 0.047Hz. Table 5 shows that the second frequency regulation control scheme has the smallest average frequency deviation, only 0.0025Hz, and the largest average wind energy utilization coefficient, at 0.4588. Therefore, compared to the other two control schemes, the second frequency regulation control scheme has the best frequency regulation capability and the highest wind energy utilization rate.

[0204] like Figure 12 As shown, Figure 12 The energy storage output power is shown under three different frequency modulation control methods. Figure 12 It can be seen that the second frequency regulation control scheme charges the energy storage during the 80-120s period, making up for the deficiency of the first frequency regulation control scheme where the energy storage does not charge, and making full use of the energy storage's charging function. Furthermore, compared to the existing frequency regulation control method with a fixed energy storage droop coefficient, the second frequency regulation control scheme of this application can enable the energy storage to provide more charging power during the 80-120s period, thereby effectively improving the frequency deviation (comparison). Figure 11 (frequency deviation of 80-120s).

[0205] like Figure 13 As shown, Figure 13 The rotor speed and energy storage S of the wind turbine are shown under three different frequency regulation control methods. OC Changes.

[0206] Reference Figure 13 As shown in (a), during the period of 80-120s, compared with the first frequency regulation control scheme provided by this application, the second frequency regulation control scheme provided by this application uses energy storage charging for frequency regulation instead of using a fan for frequency regulation, so the rotor speed is closer to the optimal rotor speed.

[0207] Reference Figure 13 As shown in (b), the energy storage S of the existing frequency regulation control method with a fixed energy storage droop coefficient is... OC The average value is 0.478. The energy storage S of the first frequency regulation control scheme provided in this application is... OC The average value is 0.454, while the energy storage S of the second frequency regulation control scheme provided in this application is... OC The average value is 0.4819, which indicates better recovery of the state of charge of energy storage, greatly improving the utilization rate of energy storage and enhancing the frequency regulation effect.

[0208] Reference Figure 14 As shown, the frequency deviation of the second frequency regulation control scheme provided in this application is minimal during the period from 80 to 120 seconds. During this period, the random change in wind speed is within the frequency regulation dead zone after frequency separation, while the load decreases. The separated load frequency change amplifies the frequency regulation signal compared to the case without separation, satisfying the switching rules of the first operating condition, and switching to energy storage to participate in frequency regulation. Figure 12 The energy storage output power is shown, while the first frequency regulation control scheme provided in this application switches to variable power point tracking control in this case, and the energy storage does not participate in frequency regulation. Therefore, the frequency regulation effect is far inferior to the second frequency regulation control scheme provided in this application.

[0209] Reference Figure 15 As shown, as another aspect of this application, this application also provides a wind-storage combined primary frequency regulation control system that takes into account complex operating conditions at the source end, including: a data module 100, a determination module 200, a power module 300, and an instruction module 400.

[0210] The data module 100 is used to acquire wind speed data and load data of the wind storage system; the determination module 200 is used to determine the wind speed frequency deviation Δf based on the wind speed data. wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf sThe power module 300 is used to determine the current preset operating condition and calculate the power required for frequency regulation based on the power of the wind speed change and the power of the load change; the instruction module 400 is used to generate a wind turbine droop control instruction or an energy storage droop control instruction for frequency regulation of the wind-storage system based on the current preset operating condition and the power required for frequency regulation.

[0211] In some embodiments of this application, the determining module 200 determines the wind speed frequency deviation Δf wind When the wind speed change power is less than the preset threshold, the wind speed decrease power P4 or / and the wind speed increase power P2 are determined as the wind speed change power.

[0212] Determine module 200 when the load frequency deviation Δf s When the load change power is less than the preset threshold, the load change power is determined as the load decrease power P1 or / and the load change power is determined as the load increase power P3.

[0213] Optionally, in some embodiments of this application, when the power module 300 determines the current preset working condition as the first working condition when the wind speed change power is the wind speed increase power P2 and the load change power is the load decrease power P1;

[0214] When the power module 300 has a wind speed change power of wind speed reduction power P4 and a load change power of load reduction power P1, if the sum of the wind speed reduction power P4 and the load reduction power P1 is less than 0, then the current preset working condition is determined to be the second working condition.

[0215] When the power module 300 has the wind speed change power as the wind speed increase power P2 and the load change power as the load increase power P3, if the sum of the wind speed increase power P2 and the load increase power P3 is less than 0, then the current preset working condition is determined to be the third working condition.

[0216] When the sum of the power P4 for wind speed reduction and the power P1 for load reduction is greater than 0, the power module 300 determines that the current preset operating condition is the fourth operating condition.

[0217] When the sum of the power P2 due to increased wind speed and the power P3 due to increased load is greater than 0, the power module 300 determines that the current preset working condition is the fifth working condition.

[0218] When the power change of wind speed is the power of wind speed decrease P4 and the power change of load is the power of load increase P3, the power module 300 determines that the current preset working condition is the sixth working condition.

[0219] The first operating condition indicates that the wind speed increases and the load decreases, the system needs to reduce power, and the energy storage device in the wind storage system will regulate the frequency.

[0220] The second operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the wind turbine in the wind storage system will adjust the frequency.

[0221] The third operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the wind turbine in the wind storage system will adjust the frequency.

[0222] The fourth operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the energy storage device in the wind storage system will regulate the frequency.

[0223] The fifth operating condition is used to indicate a situation where the wind speed and load increase, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation.

[0224] The sixth operating condition indicates that the wind speed decreases and the load increases, requiring the system to increase power, and the energy storage device in the wind-storage system is used for frequency regulation.

[0225] Optionally, in some embodiments of this application, the power module 300 calculates the power ΔP required for frequency modulation using the following formula:

[0226]

[0227] Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p K is the adaptive droop coefficient of the wind turbine unit in the wind-storage system. cn With K p It is a consistent adaptive droop coefficient;

[0228] K cn Including the discharge coefficient K cn_disch or / and charging coefficient K cn_ch ;

[0229] Wherein, the discharge coefficient K cn_disch The formula is as follows:

[0230]

[0231] Wherein, the charging coefficient K cn_ch The formulas are as follows:

[0232]

[0233] Among them, K M For K cn The maximum value of S; max S min and S lowThese represent the maximum, minimum, and preset median values ​​of the energy storage state of charge S, respectively; a is the adaptive factor.

[0234] The above description is merely a selection of preferred embodiments of this application and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this application is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this application.

Claims

1. A wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end, characterized in that, The wind-storage joint primary frequency regulation control method considering complex operating conditions at the source includes: S100: Acquire wind speed and load data of the wind storage system; S200: The wind speed frequency deviation Δf determined based on the wind speed data wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf s Determine the power of load changes; S300: Based on the wind speed change power and the load change power, determine the current preset operating condition and calculate the power required for frequency regulation; S400: Based on the current preset operating condition and the power required for frequency regulation, generate a wind turbine droop control command or an energy storage droop control command for frequency regulation of the wind-storage system. The preset operating conditions include: The first operating condition indicates that the wind speed increases and the load decreases, the system needs to reduce power, and the frequency is regulated by the wind turbine device in the wind storage system or by the energy storage device in the wind storage system. The second operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the wind turbine in the wind storage system performs frequency regulation. The third operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the wind turbine device in the wind storage system performs frequency regulation. The fourth operating condition is used to indicate that the wind speed and load are reduced, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation. The fifth operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation. The sixth operating condition is used to indicate that the wind speed decreases and the load increases, and the system needs to increase its power, so the energy storage device in the wind storage system performs frequency regulation. The formula for the power ΔP required for frequency modulation is as follows: Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p K is the adaptive droop coefficient of the wind turbine unit in the wind storage system. cn With the K p It is a consistent adaptive droop coefficient; The adaptive droop coefficient K of the energy storage device in the wind storage system cn Including the discharge coefficient K cn_disch and charging coefficient K cn_ch ; Wherein, the discharge coefficient K cn_disch The formula is as follows: Wherein, the charging coefficient K cn_ch The formulas are as follows: Among them, K M For K cn The maximum value of S; max 、S min and S low These represent the maximum, minimum, and preset median values ​​of the energy storage state of charge S, respectively; a is the adaptive factor.

2. The wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end according to claim 1, characterized in that, Step S200 includes: When the wind speed frequency deviation Δf wind When the wind speed change power is less than a preset threshold, the wind speed reduction power is determined to be P4. When the wind speed frequency deviation Δf wind When the wind speed change power is greater than a preset threshold, the wind speed increase power P2 is determined. When the load frequency deviation Δf s When the load change power is less than a preset threshold, the load reduction power is determined to be P1. When the load frequency deviation Δf s When the load change power is greater than a preset threshold, the load increase power P3 is determined.

3. The wind-storage combined primary frequency regulation control method considering complex operating conditions at the source end according to claim 1 or 2, characterized in that, The preset operating conditions in step S300 include: When the wind speed change power is the wind speed increase power P2 and the load change power is the load decrease power P1, the current preset working condition is determined to be the first working condition. When the wind speed change power is the wind speed reduction power P4 and the load change power is the load reduction power P1, if the sum of the wind speed reduction power P4 and the load reduction power P1 is less than 0, then the current preset working condition is determined to be the second working condition. When the wind speed change power is the wind speed increase power P2 and the load change power is the load increase power P3, if the sum of the wind speed increase power P2 and the load increase power P3 is less than 0, then the current preset working condition is determined to be the third working condition. When the sum of the wind speed reduction power P4 and the load reduction power P1 is greater than 0, the current preset working condition is determined to be the fourth working condition. When the sum of the wind speed increase power P2 and the load increase power P3 is greater than 0, the current preset working condition is determined to be the fifth working condition. When the wind speed change power is the wind speed decrease power P4 and the load change power is the load increase power P3, the current preset working condition is determined to be the sixth working condition.

4. A wind-storage combined primary frequency regulation control system considering complex operating conditions at the source end, characterized in that, include: The data module is used to acquire wind speed and load data of the wind storage system; The determining module is used to determine the wind speed frequency deviation Δf based on the wind speed data. wind and the load frequency deviation Δf determined based on the load data. s After all have passed through the dead zone, based on the wind speed frequency deviation Δf wind Determine the power of wind speed variation, and based on the load frequency deviation Δf s Determine the power of load changes; The power module is used to determine the current preset operating condition and calculate the power required for frequency regulation based on the power of wind speed change and the power of load change. The instruction module is used to generate a wind turbine droop control instruction or an energy storage droop control instruction for frequency regulation of the wind storage system based on the current preset operating condition and the power required for frequency regulation. When the power change of wind speed is the power increase of wind speed P2 and the power change of load is the power decrease of load P1, the power module determines the current preset working condition as the first working condition. When the power module determines that the current preset working condition is the second working condition, if the sum of the power decrease in wind speed P4 and the power decrease in load P1 is less than 0, and the power module is the power decrease in wind speed P4 and the power decrease in load P1, the power module determines that the current preset working condition is the second working condition. When the power module determines that the current preset working condition is the third working condition, if the sum of the power increase in wind speed P2 and the power increase in load P3 is less than 0, and the power module is the power increase in wind speed P2 and the power increase in load P3, the power module is the power module when the power change in wind speed is the power increase in wind speed P2 and the power increase in load P3 is less than 0. When the sum of the wind speed reduction power P4 and the load reduction power P1 is greater than 0, the power module determines that the current preset working condition is the fourth working condition. When the sum of the wind speed increase power P2 and the load increase power P3 is greater than 0, the power module determines that the current preset working condition is the fifth working condition. When the power change of wind speed is the power of wind speed decrease P4 and the power change of load is the power of load increase P3, the power module determines that the current preset working condition is the sixth working condition. The first operating condition indicates that the wind speed increases and the load decreases, the system needs to reduce power, and the frequency is regulated by the wind turbine device in the wind storage system or by the energy storage device in the wind storage system. The second operating condition is used to indicate a situation where the wind speed decreases and the load decreases, the system cannot determine the power demand, and the wind turbine device in the wind storage system performs frequency regulation. The third operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the wind turbine device in the wind storage system will adjust the frequency. The fourth operating condition is used to indicate a situation where the wind speed decreases and the load decreases, the system cannot determine the power demand, and the energy storage device in the wind storage system performs frequency regulation. The fifth operating condition is used to indicate that the wind speed and load increase, the system cannot determine the power demand, and the energy storage device in the wind storage system will adjust the frequency. The sixth operating condition is used to indicate that the wind speed decreases and the load increases, and the system needs to increase its power, so that the energy storage device in the wind storage system can regulate the frequency. The formula for calculating the power ΔP required for frequency modulation by the power module is as follows: Among them, K cn K is the adaptive droop coefficient of the energy storage device in the wind-storage system. p K is the adaptive droop coefficient of the wind turbine unit in the wind storage system. cn With the K p It is a consistent adaptive droop coefficient; The adaptive droop coefficient K of the energy storage device in the wind storage system cn Including the discharge coefficient K cn_disch and charging coefficient K cn_ch ; Wherein, the discharge coefficient K cn_disch The formula is as follows: Wherein, the charging coefficient K cn_ch The formulas are as follows: Among them, K M For K cn The maximum value of S; max 、S min and S low These represent the maximum, minimum, and preset median values ​​of the energy storage state of charge S, respectively; a is the adaptive factor.

5. The wind-storage combined primary frequency regulation control system considering complex operating conditions at the source end according to claim 4, characterized in that, The determining module determines the wind speed frequency deviation Δf wind When the wind speed change power is less than a preset threshold, the wind speed change power is determined to be the wind speed decrease power P4 or / and the wind speed change power is determined to be the wind speed increase power P2. The determining module determines when the load frequency deviation Δf s When the load change power is less than a preset threshold, the load change power is determined to be the load decrease power P1 or / and the load change power is determined to be the load increase power P3.

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