Active support control method and device for coupling energy storage wind turbine generator

Abstract

The invention provides a coupling energy storage wind turbine generator active support control method and device, and the method comprises the steps: constructing a single machine-station two-stage wind storage cooperation network, and carrying out the classification adaption of wind turbine generators at different positions and in different operation states through preset conditions; the distributed energy storage focusing single machines are locally adjusted, the centralized energy storage focusing stations are used for global optimization, and layered management and control are achieved. A first power adjusting signal is generated in real time based on the fan output voltage / frequency, local power fluctuation is rapidly offset, the direct current bus voltage of the converter is stabilized, and the problem of insufficient voltage support caused by weak electrical coupling of the distributed fan is solved; and meanwhile, through station-level cooperation, a second power adjusting signal is generated according to the output voltage / power of the grid-connected and off-grid point side, active / reactive output is planned and optimized as a whole, the short-circuit capacity and the anti-disturbance capability of the grid-connected point are improved, and the phenomena of unit off-grid and voltage instability during grid fault or power fluctuation are effectively avoided.

Description

Technical Field

[0001] This application relates to the field of power electronics technology, and in particular to an active support control method and device for wind turbine generators with coupled energy storage. Background Technology

[0002] Large-scale distributed wind farms have relatively large distances between their wind turbines and relatively weak electrical coupling, which easily leads to a low short-circuit ratio on the generator side, resulting in poor voltage support. During grid operation, faults are unavoidable, and power fluctuations caused by grid faults make large-scale distributed wind farms highly susceptible to problems such as turbine disconnection and voltage instability. Turbine disconnection not only interrupts power supply and affects users' normal electricity consumption but also damages the wind farm's equipment. Voltage instability disrupts the stable operation of the grid, reduces power quality, and severely affects the grid connection stability of the wind farm, making it difficult to reliably transmit wind power to the grid. It also significantly weakens the energy absorption capacity, resulting in energy waste. Summary of the Invention

[0003] The purpose of this application is to at least partially solve one of the technical problems in the related art.

[0004] Therefore, the first objective of this application is to propose an active support control method for wind turbines with coupled energy storage.

[0005] The second objective of this application is to propose an active support control device for wind turbines with coupled energy storage.

[0006] The third objective of this application is to propose an electronic device.

[0007] The fourth objective of this application is to provide a computer-readable storage medium.

[0008] The fifth objective of this application is to provide a computer program product.

[0009] To achieve the above objectives, the first aspect of this application proposes an active support control method for wind turbines with coupled energy storage, comprising: A two-tiered wind-storage collaborative network is constructed, comprising multiple wind turbine units, multiple distributed energy storage units, and a centralized grid-type energy storage unit. The multiple wind turbine units are divided into a first candidate wind turbine set that meets a first preset condition and a second candidate wind turbine set that meets a second preset condition. Each distributed energy storage unit is deployed on the DC side of the converter of the first candidate wind turbine unit, and the centralized grid-type energy storage unit is deployed on the boost side of the grid connection point, wherein the boost side of the grid connection point is interconnected with the output terminal of the second candidate wind turbine unit. The first output voltage and the second output frequency of the first candidate wind turbine are collected in real time, and the first power adjustment signal is determined based on the first output voltage and the second output frequency. The second candidate wind turbine is collected in real time based on the second output voltage and the second output frequency of the boost side of the grid connection point, and the second power regulation signal is determined according to the second output voltage and the second output frequency. The first power adjustment signal is sent to the distributed energy storage unit, and the second power adjustment signal is sent to the centralized grid-type energy storage unit for active support.

[0010] To achieve the above objectives, a second aspect of this application provides an active support control device for wind turbines with coupled energy storage, wherein the active support control device for wind turbines with coupled energy storage is configured to implement the steps of the active support control method for wind turbines with coupled energy storage proposed in the first aspect of this application.

[0011] To achieve the above objectives, a third aspect of this application provides an electronic device, comprising: a processor; and a memory for storing processor-executable instructions; wherein the processor is configured to execute the instructions to implement the steps of the wind turbine active support control method with coupled energy storage proposed in the first aspect of this application.

[0012] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium that, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to perform the steps of the active support control method for coupled energy storage wind turbine generators proposed in the first aspect of this application.

[0013] To achieve the above objectives, a fifth aspect of this application provides a computer program product, including a computer program that, when executed by a processor in a communication device, implements the steps of the active support control method for coupled energy storage wind turbine generators proposed in the first aspect of this application.

[0014] In this embodiment, a two-tiered wind-storage collaborative network architecture is adopted. By classifying and adapting wind turbines in different locations and operating states according to preset conditions, it avoids the drawbacks of traditional centralized control's "one-size-fits-all" approach. Distributed energy storage focuses on local adjustment of individual units, while centralized energy storage focuses on global optimization of the entire site, achieving layered management and control of "precise local control + global collaborative support." Through single-unit-level collaboration of "distributed energy storage + first candidate wind turbine," a first power regulation signal is generated in real time based on the wind turbine's output voltage / frequency, quickly offsetting local power fluctuations, stabilizing the DC bus voltage of the converter, and solving the problem of insufficient voltage support caused by weak electrical coupling of distributed wind turbines. Simultaneously, through site-level collaboration of "centralized grid-connected energy storage + second candidate wind turbine," a second power regulation signal is generated based on the output voltage / power at the grid connection point, comprehensively optimizing active and reactive power output, improving the short-circuit capacity and anti-disturbance capability at the grid connection point, and effectively avoiding unit disconnection and voltage instability during grid faults or power fluctuations.

[0015] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0016] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart illustrating an active support control method for a wind turbine with coupled energy storage provided in an embodiment of this application; Figure 2 This is a schematic diagram of a two-stage wind storage collaborative network for a single unit and a wind farm, provided according to an embodiment of this application. Figure 3 A flowchart illustrating another active support control method for wind turbines with coupled energy storage provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0017] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with those of this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the embodiments of this application as detailed in the appended claims.

[0018] The terminology used in the embodiments of this application is for the purpose of describing particular embodiments only and is not intended to limit the embodiments of this application. The singular forms “a” and “the” as used in the embodiments of this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0019] It should be understood that although the terms first, second, third, etc., may be used to describe various information in the embodiments of this application, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of the embodiments of this application, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the words "if" and "suppose" as used herein can be interpreted as "when," "when," or "in response to a determination."

[0020] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0021] Large-scale distributed wind farms, due to their wide coverage and large geographical span, typically feature wind turbines in a distributed and scattered layout. This significantly increases the physical distance between turbines, extends electrical connection lines, and loosens the topology, resulting in a substantial weakening of electrical coupling strength between turbines. This topological characteristic directly leads to a key technical bottleneck: the short-circuit ratio (SCR) on the generator side of the wind turbine has consistently remained at a low level (typically below 1.5, far below the standard for centralized wind farms). However, the short-circuit ratio is a core indicator of the voltage support capability on the power supply side. A low short-circuit ratio means that the turbine's self-recovery and active support capabilities under voltage disturbance scenarios are inherently insufficient, making it difficult to maintain stable terminal voltage through self-regulation.

[0022] In actual power grid operation, disturbances such as lightning strikes, line faults, and sudden load changes are random and unpredictable. These grid faults can easily disrupt the system's power balance, resulting in significant power fluctuations. For large-scale distributed wind farms, the transmission and impact of power fluctuations are even more pronounced.

[0023] In some scenarios, a low short-circuit ratio results in extremely low tolerance of the wind turbine to voltage disturbances. Power fluctuations can easily trigger overcurrent and overvoltage protection mechanisms in the wind turbine converter, leading to large-scale turbine disconnection accidents. This not only causes a sharp drop in wind farm output, interrupting the continuous power supply to downstream loads and affecting the stability of industrial production and residential electricity consumption, but also causes irreversible damage to core equipment such as wind turbine converters and generators due to electromagnetic shocks during the disconnection process, increasing equipment maintenance costs and downtime.

[0024] In some scenarios, the superposition of unit disconnection from the grid and power fluctuations can further aggravate voltage instability at the grid connection point, forming a vicious cycle of "voltage drop - power oscillation - further voltage deterioration". This disrupts the dynamic balance between grid frequency and voltage, causing power quality (such as voltage deviation, harmonic distortion rate, etc.) to exceed the national standard allowable range, seriously threatening the grid connection stability of wind farms and the grid.

[0025] In some scenarios, voltage instability and generator disconnection can directly amplify the volatility and randomness of wind turbine output, making it difficult for the grid dispatch center to accurately predict and coordinate wind turbine output. This limits the grid-connected output of wind farms to ensure grid security. This not only results in the underutilization of wind power resources and a large waste of clean energy, but also restricts the large-scale development of the distributed wind power industry.

[0026] In some scenarios, long-term voltage fluctuations and unstable grid-connected operation can accelerate the aging of grid-side transformers, line switches, and other equipment, increase grid operation and maintenance costs, and further reduce the overall economic efficiency and reliability of the power system.

[0027] The active support control method and apparatus for coupled energy storage wind turbine units according to embodiments of this application are described below with reference to the accompanying drawings.

[0028] Figure 1 This is a flowchart illustrating an active support control method for wind turbines with coupled energy storage, provided in an embodiment of this application.

[0029] like Figure 1 As shown, the active support control method for wind turbines with coupled energy storage includes, but is not limited to, the following steps: S101. Construct a two-level wind-storage collaborative network between a single wind turbine and a wind farm. The two-level wind-storage collaborative network includes multiple wind turbine units, multiple distributed energy storage units, and centralized grid-type energy storage units. Divide the multiple wind turbine units into a first candidate wind turbine set that meets a first preset condition and a second candidate wind turbine set that meets a second preset condition. Deploy each distributed energy storage unit on the DC side of the converter of the first candidate wind turbine unit, and deploy the centralized grid-type energy storage unit on the boost side of the grid connection point. The boost side of the grid connection point is interconnected with the output end of the second candidate wind turbine unit.

[0030] In one feasible implementation, Figure 2 This is a schematic diagram of a two-stage wind-storage collaborative network based on an embodiment of this application. Figure 2 As shown, based on preset screening criteria, multiple wind turbine units are divided into two sets: a first set of candidate wind turbine units that meet the first preset criterion and a second set of candidate wind turbine units that meet the second preset criterion. The first preset criterion focuses on wind turbine units with relatively low short-circuit ratios. This type of wind turbine unit has high inductive reactance or low rated power, making it suitable for deploying distributed energy storage units to achieve local power balance and rapid dynamic response. Wind turbine units that meet the first preset criterion are assigned to the first candidate wind turbine unit set.

[0031] The second precondition focuses on wind turbines with relatively high short-circuit ratios. These turbines typically have low inductive reactance or high rated power, significantly impacting system inertia and voltage. They are suitable for collaboration with centralized grid-connected energy storage units to provide global grid support. Wind turbines meeting this condition constitute the second set of candidate wind turbines.

[0032] In one feasible implementation, the distributed energy storage unit adopts a modular design, possessing high energy density and fast response capability, and is deployed on the DC side of the converter of the first candidate wind turbine. Through DC-side coupling, the distributed energy storage unit directly absorbs or releases the instantaneous power difference caused by wind speed fluctuations in the first candidate wind turbine, effectively mitigating the intermittency of wind power output and improving the grid connection performance of a single unit.

[0033] In one feasible implementation, a centralized grid-connected energy storage unit, acting as a "virtual synchronizing machine" for the power grid, is deployed on the boost side of the grid connection point and interconnected with the output of the second candidate wind turbine. In some embodiments, the centralized grid-connected energy storage unit adopts a high-voltage cascaded direct-connection topology, which can simulate the inertial response and frequency and voltage regulation characteristics of the generator in the second candidate wind turbine, providing frequency support for the power grid, maintaining voltage stability, and enhancing short-circuit capacity. Through collaboration with the second candidate wind turbine, the centralized grid-connected energy storage unit can optimize global power distribution, reduce long-distance transmission losses, and enhance the power grid's flexible adjustment capabilities.

[0034] S102, real-time acquisition of the first output voltage and second output frequency of the first candidate wind turbine, and determination of the first power regulation signal based on the first output voltage and the first output frequency.

[0035] In one feasible implementation, such as Figure 2As shown, a closed-loop control link of "operating parameter acquisition - deviation analysis - adjustment signal generation" is constructed based on the single-unit coupling architecture of the distributed energy storage unit and the first candidate wind turbine. The first output voltage and the first output frequency are captured through the voltage sensor and frequency acquisition unit mounted on the local controller of the first candidate wind turbine.

[0036] In one feasible implementation, the first output voltage and the first output frequency are input into a preset bivariate proportional-integral (PI) control model. Using the voltage and frequency reference values ​​determined by the first candidate wind turbine as benchmarks, a first voltage deviation and a first frequency deviation are determined. The PI control model uses a weighting algorithm to fuse the first voltage deviation and the first frequency deviation to obtain a power regulation amount. This power regulation amount is converted into a digitized first power regulation signal, which is used to adjust the charging and discharging direction of the distributed energy storage unit.

[0037] S103, real-time acquisition of the second output voltage and second output frequency of the second candidate wind turbine based on the boost side of the grid connection point, and determination of the second power regulation signal based on the second output voltage and second output frequency.

[0038] In one feasible implementation, such as Figure 2 As shown, relying on the electrical interconnection architecture between the centralized grid-type energy storage unit and the booster side of the grid connection point, a site-level control link is constructed, consisting of "aggregated parameter acquisition - grid connection deviation analysis - coordinated adjustment signal generation". Through the power sensors and voltage transformers deployed on the booster side of the grid connection point, the second output voltage and second output frequency of the second candidate wind turbine are collected in real time after being aggregated by the collector lines.

[0039] In one feasible implementation, the second output voltage and second output frequency are integrated into a multi-objective regulation model based on a virtual synchronous machine. Using the voltage and frequency reference values ​​of the grid connection and disconnection points issued by the grid dispatch center as benchmarks, a second voltage deviation and a second frequency deviation are obtained. By introducing droop control and combining it with the grid's equivalent inertia requirements, the second voltage deviation and the second frequency deviation are fused to obtain a second power regulation signal. This second power regulation signal is used to regulate the charging and discharging direction of the centralized grid-type energy storage unit.

[0040] S104, the first power regulation signal is sent to the distributed energy storage unit, and the second power regulation signal is sent to the centralized grid-type energy storage unit for active support.

[0041] In one feasible implementation, a closed-loop control system of "hierarchical command issuance - equipment coordinated response - grid connection status support" is constructed to transmit and execute the first power regulation signal and the second power regulation signal. Upon receiving the first power regulation signal, the distributed energy storage unit adjusts its own charging and discharging to individually regulate the power of the first candidate wind turbine, reducing the impact of power fluctuations of the first candidate wind turbine on the power grid. Simultaneously, to achieve a coordinated effect across the entire set of first candidate wind turbines, the distributed energy storage units interact and coordinate control through a communication network. In some embodiments, when the remaining capacity of a distributed energy storage unit is insufficient, it can send a request signal to other distributed energy storage units, requesting them to share some of the regulation tasks.

[0042] In one feasible implementation, a centralized grid-connected energy storage unit (Grid-connected Energy Storage Unit) achieves grid-connected functionality by simulating the characteristics of a synchronous generator. Upon receiving a second power regulation signal, the Grid-connected Energy Storage Unit adjusts its operating mode and power output based on real-time grid operation information and dispatch instructions, thereby adjusting the power output of the second candidate wind turbine to maintain stable grid operation. In some embodiments, the Grid-connected Energy Storage Unit alters the grid's power balance by adjusting its own power output. When the Grid-connected Energy Storage Unit increases its discharge power, the total power supply in the grid increases, potentially leading to increased grid voltage and frequency. To maintain synchronous operation with the grid, the second candidate wind turbine automatically adjusts its power output according to changes in grid voltage and frequency. For example, when the grid frequency increases, the second candidate wind turbine reduces its rotor speed, thereby reducing mechanical power input and consequently reducing power generation.

[0043] In summary, the wind turbine active support control method with coupled energy storage provided in this application adopts a two-level wind-storage collaborative network architecture. It classifies and adapts to wind turbines in different locations and operating states through preset conditions, avoiding the drawbacks of traditional centralized control's "one-size-fits-all" approach. Distributed energy storage focuses on local adjustment of individual turbines, while centralized energy storage focuses on global optimization of the entire site, achieving layered management and control of "precise local control + global collaborative support." Through single-unit-level collaboration of "distributed energy storage + first candidate wind turbine," a first power regulation signal is generated in real time based on the wind turbine's output voltage / frequency, quickly offsetting local power fluctuations, stabilizing the converter's DC bus voltage, and solving the problem of insufficient voltage support caused by weak electrical coupling in distributed wind turbines. Simultaneously, through site-level collaboration of "centralized grid-connected energy storage + second candidate wind turbine," a second power regulation signal is generated based on the output voltage / power at the grid connection point, comprehensively optimizing active and reactive power output, improving the short-circuit capacity and anti-disturbance capability at the grid connection point, and effectively avoiding turbine disconnection and voltage instability during grid faults or power fluctuations.

[0044] Figure 3 This is a flowchart illustrating another active support control method for wind turbines with coupled energy storage provided in an embodiment of this application.

[0045] like Figure 3 As shown, the active support control method for wind turbines with coupled energy storage includes, but is not limited to, the following steps: S301, construct a two-level wind-storage collaborative network between a single wind turbine and a wind farm. The two-level wind-storage collaborative network includes multiple wind turbine units, multiple distributed energy storage units, and centralized grid-type energy storage units. Divide the multiple wind turbine units into a first candidate wind turbine set that meets a first preset condition and a second candidate wind turbine set that meets a second preset condition. Deploy each distributed energy storage unit on the DC side of the converter of the first candidate wind turbine unit, and deploy the centralized grid-type energy storage unit on the boost side of the grid connection point. The boost side of the grid connection point is interconnected with the output end of the second candidate wind turbine unit.

[0046] In one feasible implementation, classification rules are determined based on the electrical distance between the grid connection point and multiple wind turbine generators. The multiple wind turbine generators are then classified according to these rules, and assigned to a first set of candidate wind turbine generators that meets a first preset condition and a second set of candidate wind turbine generators that meets a second preset condition. Electrical distance is an indicator of the degree of electrical coupling between two nodes in a power system (grid connection point and wind turbine generators). It is used to determine power loss and voltage drop during transmission between nodes based on line impedance and transformer parameters. A shorter electrical distance indicates a tighter electrical connection between the two nodes, higher power transmission efficiency, and greater mutual influence; conversely, a longer electrical distance indicates a weaker electrical connection between nodes.

[0047] In some embodiments, if the equivalent impedance distance between the wind turbine and the grid connection point is greater than or equal to a preset distance threshold, the wind turbine is determined to meet a first preset condition and is included in the first candidate wind turbine set. If the equivalent impedance distance between the wind turbine and the grid connection point is less than the preset distance threshold, the wind turbine is determined to meet a second preset condition and is included in the second candidate wind turbine set.

[0048] It should be noted that the equivalent impedance distance comprehensively considers factors such as line resistance and reactance, reflecting the ease of power transmission between the wind turbine and the grid connection point. The greater the impedance, the greater the power transmission loss and voltage drop, and the weaker the electrical connection between the two; the smaller the impedance, the stronger the electrical connection. The preset distance threshold is based on the specific structure and operational requirements of the power grid.

[0049] In some embodiments, the first preset condition is any one or a combination of the following: the output voltage fluctuation amplitude of the wind turbine is greater than or equal to a preset fluctuation threshold, the short-circuit ratio is less than or equal to a preset short-circuit ratio threshold, and the DC bus voltage deviation of the converter is greater than or equal to a preset voltage threshold. The second preset condition is any one or a combination of the following: the output voltage fluctuation amplitude of the wind turbine is less than a preset fluctuation threshold, the short-circuit ratio is greater than a preset short-circuit ratio threshold, and the DC bus voltage deviation of the converter is less than a preset voltage threshold.

[0050] It should be noted that the output voltage fluctuation of wind turbines is used to reflect the stability of power supply quality. When the amplitude of the output voltage fluctuation of a wind turbine is greater than or equal to a preset fluctuation threshold, it indicates that the power quality output by the wind turbine is poor, which may damage connected electrical equipment and affect the stability of the power grid. The short-circuit ratio is an indicator that measures the ratio of the short-circuit capacity of the power system to the rated capacity of the equipment. It reflects the power system's ability to withstand voltage fluctuations. The smaller the short-circuit ratio, the weaker the voltage support capability of the power system in the face of faults such as short circuits. Wind turbines are more susceptible to voltage fluctuations in scenarios with small short-circuit ratios, and this may even lead to wind turbine grid tethering, affecting the stable operation of the power grid. Converters are used to convert electrical energy from AC to DC or from DC to AC. When the DC bus voltage deviation exceeds a preset threshold, it may cause instability in the output power of the wind turbine, thereby affecting the power balance of the power grid.

[0051] S302, real-time acquisition of the first output voltage and first output frequency of the first candidate wind turbine, obtaining the first voltage deviation based on the preset voltage reference value and the first output voltage, obtaining the first frequency deviation based on the preset frequency reference value and the first output frequency, and determining the first power adjustment signal based on the first voltage deviation and the first frequency deviation.

[0052] In one feasible implementation, voltage reference values ​​and frequency reference values ​​are determined based on the rated voltage of the power grid and operating requirements. A first voltage deviation ΔU1 between a preset voltage reference value and a first output voltage is obtained through differential calculation, and a first frequency deviation Δf1 is obtained by using a preset frequency reference value and a first output frequency through differential calculation.

[0053] In one feasible implementation, a voltage source control strategy is used to synchronously simulate the generator external characteristics of the first candidate wind turbine to obtain the inertia coefficient and damping coefficient.

[0054] In some embodiments, a virtual synchronous generator model is constructed based on a voltage source converter. The rotor motion and excitation regulation characteristics of the synchronous generator are reproduced based on the virtual synchronous generator model. The inertia coefficient H is obtained from the rotational inertia of the virtual rotor, and the expression for the inertia coefficient H is: H = J * ω0 2 / 2S nWhere J is the virtual moment of inertia, obtained from the virtual synchronous generator model; ω0 is the rated angular velocity of the first candidate wind turbine; S n The rated capacity of the first candidate wind turbine is given. The dynamic equation is determined based on the generator rotor motion, and the damping coefficient D is obtained by linearizing the dynamic equation.

[0055] In some embodiments, the first frequency deviation Δf1 is used as the trigger signal for the inertial response, and the inertial support power P_inertia is obtained by simulating the inertial response of a synchronous generator. The expression for the inertial support power P_inertia is as follows: ; Among them, the inertia support power P_inertia is proportional to the rate of change of the first frequency deviation Δf1.

[0056] In some embodiments, based on a virtual synchronous generator model, the damping power is determined by utilizing the voltage-power droop characteristic. The first voltage deviation ΔU1 is used as the input to the damping control, and the damping power P_damp is obtained based on the first voltage deviation ΔU1 and the damping coefficient D. The expression for the damping power P_damp is: P_damp=-D*ΔU1; The damping power P_damp is used to suppress power oscillations and voltage fluctuations in the power grid.

[0057] In some embodiments, the first power adjustment signal is obtained by summing the inertia support power P_inertia and the damping power P_damp.

[0058] S303, real-time acquisition of the second output voltage and second output frequency of the second candidate wind turbine based on the boost side of the grid connection point, obtaining the second voltage deviation according to the preset voltage reference value and the second output voltage, obtaining the second frequency deviation according to the preset frequency reference value and the second output frequency, and determining the second power adjustment signal according to the second voltage deviation and the second frequency deviation.

[0059] In one feasible implementation, a preset voltage reference value and a second voltage deviation ΔU2 between the second output voltage are obtained through differential operation, and a preset frequency reference value and a second frequency deviation Δf2 are obtained through differential operation.

[0060] In one feasible implementation, a virtual synchronous generator control strategy is used to simulate the inertia adjustment of the second candidate wind turbine, and the active power adjustment is obtained according to the preset frequency regulation coefficient and the second frequency deviation, wherein the preset frequency regulation coefficient is based on the grid dispatch demand.

[0061] In some embodiments, the Virtual Synchronous Generator (VSG) simulates the rotor motion equations of a synchronous generator, enabling the second candidate wind turbine to possess inertia support and frequency regulation capabilities. The frequency regulation coefficient K is determined based on the actual dispatch requirements of the power grid. For example, based on the output fluctuations of the second candidate wind turbine, the frequency regulation coefficient K is dynamically adjusted through automatic generation control. When the proportion of wind power in the power grid exceeds a preset threshold, the frequency regulation coefficient Kp is increased to enhance the frequency regulation capability; when the proportion of wind power in the power grid is lower than the preset threshold, the frequency regulation coefficient Kp is decreased to avoid overloading the second candidate wind turbine.

[0062] In some embodiments, the active power adjustment ΔP1 is obtained by multiplying the preset frequency modulation coefficient and the second frequency deviation, where ΔP1 = -Kp * Δf2.

[0063] In one feasible implementation, a virtual synchronous generator control strategy is used to simulate the excitation regulation of the second candidate wind turbine, and the reactive power adjustment is obtained according to the preset voltage regulation coefficient and the second voltage deviation. The preset voltage regulation coefficient is related to the grid impedance and the preset energy storage capacity.

[0064] In some embodiments, the voltage regulation coefficient Kv is determined through impedance characteristic analysis. The larger the impedance magnitude, the smaller the voltage regulation coefficient Kv. High-impedance power grids have larger line resistance and reactance, resulting in more significant voltage changes due to the same amount of reactive power input. In this case, the voltage regulation coefficient Kv needs to be reduced to avoid oscillations or overvoltage caused by over-regulation. Low-impedance power grids have smaller line impedance, resulting in lower voltage sensitivity to reactive power changes. Therefore, the voltage regulation coefficient Kv can be appropriately increased to improve sensitivity.

[0065] In some embodiments, the reactive power adjustment amount ΔP2 is obtained by multiplying the preset voltage regulation coefficient and the second voltage deviation, where ΔP2=Kv*ΔU2.

[0066] In some embodiments, the second power adjustment signal is obtained by summing the active power adjustment amount ΔP1 and the reactive power adjustment amount ΔP2.

[0067] S304 sends a first power regulation signal to the distributed energy storage unit and a second power regulation signal to the centralized grid-type energy storage unit for active support.

[0068] For further details on step S304, please refer to the relevant descriptions in the above embodiments; they will not be repeated here.

[0069] In summary, the wind turbine active support control method with coupled energy storage provided in this application adopts a two-level wind-storage collaborative network architecture. It classifies and adapts to wind turbines in different locations and operating states through preset conditions, avoiding the drawbacks of traditional centralized control's "one-size-fits-all" approach. Distributed energy storage focuses on local adjustment of individual turbines, while centralized energy storage focuses on global optimization of the entire site, achieving layered management and control of "precise local control + global collaborative support." Through single-unit-level collaboration of "distributed energy storage + first candidate wind turbine," a first power regulation signal is generated in real time based on the wind turbine's output voltage / frequency, quickly offsetting local power fluctuations, stabilizing the converter's DC bus voltage, and solving the problem of insufficient voltage support caused by weak electrical coupling in distributed wind turbines. Simultaneously, through site-level collaboration of "centralized grid-connected energy storage + second candidate wind turbine," a second power regulation signal is generated based on the output voltage / power at the grid connection point, comprehensively optimizing active and reactive power output, improving the short-circuit capacity and anti-disturbance capability at the grid connection point, and effectively avoiding turbine disconnection and voltage instability during grid faults or power fluctuations.

[0070] Corresponding to the aforementioned active support control method for wind turbines with coupled energy storage, this application also provides an active support control device for wind turbines with coupled energy storage. Since the embodiments of the active support control device for wind turbines with coupled energy storage in this application correspond to the embodiments of the aforementioned active support control method for wind turbines with coupled energy storage, details not disclosed in the embodiments of the active support control device for wind turbines with coupled energy storage can be found in the embodiments of the active support control method for wind turbines with coupled energy storage, and will not be repeated here.

[0071] In one feasible implementation, the coupled energy storage wind turbine active support control device is configured to execute the steps of the coupled energy storage wind turbine active support control method provided in the embodiments of this application. In some embodiments, the coupled energy storage wind turbine active support control device has specific functional modules, algorithms, or logic, and can actively support the wind turbine according to a series of steps, rules, and strategies of the coupled energy storage wind turbine active support control method described in the embodiments of this application. In some embodiments, by writing specific program code, the converter power loop parameter design method is transformed into instructions that the converter power loop parameter design device can understand and execute. This code may include logic such as condition judgment, loop control, and data processing to actively support the wind turbine.

[0072] The methods and apparatus provided in the embodiments of this application have been described above. To achieve the functions of the methods provided in the embodiments of this application, the methods and apparatus can be further refined using electronic devices.

[0073] Figure 4This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0074] like Figure 4 As shown, the electronic device 400 includes a processor 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from memory 406 into a random access memory (RAM) 403. The RAM 403 also stores various programs and data required for the operation of the electronic device 400. The processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0075] The following components are connected to I / O interface 405: memory 406 including hard disks, etc.; and communication section 407 including network interface cards such as LAN (Local Area Network) cards, modems, etc., which performs communication processing via a network such as the Internet; and driver 408 is also connected to I / O interface 405 as needed.

[0076] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 407. When the computer program is executed by processor 401, it performs the functions defined in the methods of this application.

[0077] In an exemplary embodiment, a storage medium including instructions is also provided, such as a memory including instructions, which can be executed by a processor 401 of an electronic device 400 to perform the above-described method. Optionally, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0078] In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wireline, optical fiber, RF, etc., or any suitable combination thereof.

[0079] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the following claims.

[0080] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method of coupled energy storage wind turbine active support control, characterized by, include: A two-tiered wind-storage collaborative network is constructed, comprising multiple wind turbine units, multiple distributed energy storage units, and a centralized grid-type energy storage unit. The multiple wind turbine units are divided into a first candidate wind turbine set that meets a first preset condition and a second candidate wind turbine set that meets a second preset condition. Each distributed energy storage unit is deployed on the DC side of the converter of the first candidate wind turbine unit, and the centralized grid-type energy storage unit is deployed on the boost side of the grid connection point, wherein the boost side of the grid connection point is interconnected with the output terminal of the second candidate wind turbine unit. The first output voltage and first output frequency of the first candidate wind turbine are collected in real time, and the first power adjustment signal is determined based on the first output voltage and the first output frequency. The second candidate wind turbine is collected in real time based on the second output voltage and the second output frequency of the boost side of the grid connection point, and the second power regulation signal is determined according to the second output voltage and the second output frequency. The first power adjustment signal is sent to the distributed energy storage unit, and the second power adjustment signal is sent to the centralized grid-type energy storage unit for active support.

2. The method of claim 1, wherein, The step of dividing the plurality of wind turbines into a first candidate wind turbine set that meets a first preset condition and a second candidate wind turbine set that meets a second preset condition includes: The classification rules are determined based on the electrical distance between the grid connection point and the multiple wind turbine units. The multiple wind turbine units are classified according to the classification rules and respectively assigned to a first candidate wind turbine unit set that meets the first preset condition and a second candidate wind turbine unit set that meets the second preset condition.

3. The method of claim 2, wherein, The method of determining the classification rules based on the electrical distance between the grid connection point and the multiple wind turbine units includes: If the equivalent impedance distance between the wind turbine and the grid connection point is greater than or equal to the preset distance boundary threshold, the wind turbine is determined to meet the first preset condition and is included in the first candidate wind turbine set. If the equivalent impedance distance between the wind turbine and the grid connection point is less than the preset distance threshold, the wind turbine is determined to meet the second preset condition and is included in the second candidate wind turbine set.

4. The method of claim 3, wherein, The first preset condition is any one or a combination of the following: The output voltage fluctuation amplitude of the wind turbine is greater than or equal to the preset fluctuation threshold, the short-circuit ratio is less than or equal to the preset short-circuit ratio threshold, and the DC bus voltage deviation of the converter is greater than or equal to the preset voltage threshold.

5. The method of claim 3, wherein, The second preset condition is any one or a combination of the following: The output voltage fluctuation amplitude of the wind turbine is less than the preset fluctuation threshold, the short-circuit ratio is greater than the preset short-circuit ratio threshold, and the DC bus voltage deviation of the converter is less than the preset voltage threshold.

6. The method of claim 1, wherein, Determining the first power adjustment signal based on the first output voltage and the first output frequency includes: The first voltage deviation is obtained based on the preset voltage reference value and the first output voltage; The first frequency deviation is obtained based on the preset frequency reference value and the first output frequency; A first power adjustment signal is determined based on the first voltage deviation and the first frequency deviation; The preset voltage and frequency reference values ​​are determined based on the rated voltage and operating requirements of the power grid.

7. The method according to claim 6, characterized in that, Determining the first power adjustment signal based on the first voltage deviation and the first frequency deviation includes: A voltage source control strategy was used to synchronously simulate the generator external characteristics of the first candidate wind turbine to obtain the inertia coefficient and damping coefficient. The inertia support power is obtained based on the first frequency deviation and the inertia coefficient; The damping power is obtained based on the first voltage deviation and the damping coefficient; A first power adjustment signal is obtained based on the inertia support power and the damping power.

8. The method according to claim 1, characterized in that, Determining the second power adjustment signal based on the second output voltage and the second output frequency includes: The second voltage deviation is obtained based on the preset voltage reference value and the second output voltage; The second frequency deviation is obtained based on the preset frequency reference value and the second output frequency; The second power adjustment signal is determined based on the second voltage deviation and the second frequency deviation.

9. The method according to claim 8, characterized in that, The step of determining the second power adjustment signal based on the second voltage deviation and the second frequency deviation includes: The virtual synchronous generator control strategy is used to simulate the inertia adjustment of the second candidate wind turbine, and the active power adjustment is obtained according to the preset frequency regulation coefficient and the second frequency deviation. The preset frequency regulation coefficient is based on the grid dispatch demand. A virtual synchronous generator control strategy is used to simulate the excitation regulation of the second candidate wind turbine, and the reactive power adjustment is obtained according to the preset voltage regulation coefficient and the second voltage deviation. The preset voltage regulation coefficient is related to the grid impedance and the preset energy storage capacity. The second power regulation signal is obtained based on the active power adjustment amount and the reactive power adjustment amount.

10. A wind turbine active support control device with coupled energy storage, characterized in that, The steps are configured to implement the method of any one of claims 1 to 9.

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