Capacity configuration method and device of hybrid energy storage system and computer equipment

Abstract

The invention relates to a capacity configuration method and device of a hybrid energy storage system and computer equipment. The method comprises the following steps: acquiring an output power signal of a wind power plant and electrolytic tank information of a solid oxide electrolytic tank, and generating an initial power instruction signal of the solid oxide electrolytic tank; splitting each sub-power instruction signal through a continuous variational mode decomposition strategy, and screening a first reference power instruction signal of the solid oxide electrolytic cell through a preset power instruction screening strategy; calculating a residual wind power signal of the wind power plant, and splitting the residual wind power signal into sub residual wind power signals through a variational mode decomposition strategy; and screening a second reference power instruction signal of the chemical battery energy storage array through a preset wind power signal screening strategy to generate target capacity information of the hybrid energy storage system. By adopting the method, the wind power fluctuation suppression effect of the hybrid energy storage system can be improved when the scale is enlarged.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a capacity configuration method, device and computer equipment for a hybrid energy storage system. Background Art

[0002] Wind energy has the advantages of being green, environmentally friendly, widely distributed, and rich in resources. It occupies an important position in the future energy structure. However, due to the geographical location of wind farms, environmental factors, and the influence of wind conditions, wind power generation has the characteristics of intermittent, random, and volatile, which seriously harms the stability of the power grid. For the safe grid connection of new energy, energy storage systems are generally used to improve the grid connection status and improve the quality of wind power systems. At present, wind farms are generally equipped with chemical battery energy storage systems with a rated capacity of 10%. Due to the randomness and volatility of wind power generation, it is often unable to effectively smooth out wind power fluctuations and meet grid connection standards. Hydrogen energy storage, as a new energy storage technology, has significant advantages in energy density, long-term storage, clean and environmental protection, and is currently one of the most efficient long-term and large-scale energy storage methods. Therefore, how to combine the advantages of the above energy storage methods to build a hybrid energy storage system and reduce the risk of energy storage and the stability of energy is the current research focus.

[0003] The traditional way of constructing a hybrid energy storage system is to use chemical batteries and supercapacitors to form a hybrid energy storage system. However, the constructed energy storage system can only produce hydrogen and store energy on a small scale and cannot meet large-scale energy storage needs. When the scale is expanded, the capacity configuration of the hybrid energy storage system will affect the advantages of different energy storage methods, resulting in poor wind power fluctuation suppression effect of the hybrid energy storage system when the scale is expanded. Summary of the invention

[0004] Based on this, it is necessary to provide a capacity configuration method, device, computer equipment, computer-readable storage medium and computer program product for a hybrid energy storage system in response to the above technical problems.

[0005] In a first aspect, the present application provides a capacity configuration method for a hybrid energy storage system, comprising:

[0006] Acquiring an output power signal of a wind farm and electrolytic cell information of a solid oxide electrolytic cell, and generating an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information;

[0007] The initial power command signal is split into sub-power command signals by a continuous variational mode decomposition strategy, and a first reference power command signal of the solid oxide electrolytic cell is screened in each of the sub-power command signals by a preset power command screening strategy;

[0008] Based on the first reference power command signal and the output power signal, a residual wind power signal of the wind farm is calculated, and the residual wind power signal is split into sub-residual wind power signals by using a variational mode decomposition strategy;

[0009] In each of the sub-residual wind power signals, the second reference power command signal of the chemical battery energy storage array is screened through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, a hybrid capacity configuration strategy is used to generate target capacity information of the hybrid energy storage system.

[0010] Optionally, generating an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information includes:

[0011] Based on the electrolytic cell information, identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information;

[0012] An initial power command signal of the solid oxide electrolytic cell is calculated based on the output power signal and the power consumption proportional coefficient.

[0013] Optionally, the first reference power command signal of the solid oxide electrolytic cell is screened in each of the sub-power command signals by a preset power command screening strategy, including:

[0014] Based on the power command screening strategy, identifying a system ramp rate threshold and a signal frequency threshold of the solid oxide electrolytic cell;

[0015] Identify the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screen the first reference power command signal of the solid oxide electrolysis cell through the system ramp rate threshold and the signal frequency threshold.

[0016] Optionally, the calculating of the residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and splitting the residual wind power signal into sub-residual wind power signals by a variational mode decomposition strategy, includes:

[0017] Based on the first reference power command signal and the output power signal, calculating a residual wind power signal of the wind farm by a residual wind power algorithm;

[0018] Splitting the remaining wind power signal into target grid-connected wind power and a charge and discharge command signal of a chemical battery energy storage array, and splitting the charge and discharge command signal into sub-charge and discharge command signals by using a variational mode decomposition strategy;

[0019] The sub-charging and discharging instruction signals are used as the sub-residual wind power signals.

[0020] Optionally, the second reference power command signal of the chemical battery energy storage array is screened in each of the sub-residual wind power signals by a preset wind power signal screening strategy, including:

[0021] Based on the target grid-connected wind power, identifying the unit maximum fluctuation information of the wind farm, and in the case where the unit maximum fluctuation is lower than a preset fluctuation threshold, screening each target sub-residual wind power signal in each of the sub-residual wind power signals by using a wind power signal screening strategy;

[0022] The sum of the component signals of the sub-charge and discharge command signals corresponding to each of the target sub-residual wind power signals is calculated to obtain a second reference power command signal for the chemical battery energy storage array.

[0023] Optionally, the generating target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy based on the first reference power command signal and the second reference power command signal includes:

[0024] Identify the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtain the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system;

[0025] Based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity, configure the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system;

[0026] Using the first reference power command signal as first capacity configuration information of the solid oxide electrolytic cell, and using the second reference power command signal as second capacity configuration information of the chemical battery energy storage array;

[0027] The target solid oxide electrolysis cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolysis cell, and the second capacity configuration information of the chemical battery energy storage array are used as the target capacity information of the hybrid energy storage system.

[0028] In a second aspect, the present application also provides a capacity configuration device for a hybrid energy storage system, comprising:

[0029] An acquisition module, used to acquire an output power signal of a wind farm and electrolytic cell information of a solid oxide electrolytic cell, and generate an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information;

[0030] A screening module, used to split the initial power command signal into sub-power command signals through a continuous variational mode decomposition strategy, and screen the first reference power command signal of the solid oxide electrolytic cell in each of the sub-power command signals through a preset power command screening strategy;

[0031] a splitting module, configured to calculate a residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and split the residual wind power signal into sub-residual wind power signals by using a variational mode decomposition strategy;

[0032] A generation module is used to screen the second reference power command signal of the chemical battery energy storage array in each of the sub-residual wind power signals through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, generate the target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy.

[0033] Optionally, the acquisition module is specifically used to:

[0034] Based on the electrolytic cell information, identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information;

[0035] An initial power command signal of the solid oxide electrolytic cell is calculated based on the output power signal and the power consumption proportional coefficient.

[0036] Optionally, the screening module is specifically used for:

[0037] Based on the power command screening strategy, identifying a system ramp rate threshold and a signal frequency threshold of the solid oxide electrolytic cell;

[0038] Identify the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screen the first reference power command signal of the solid oxide electrolysis cell through the system ramp rate threshold and the signal frequency threshold.

[0039] Optionally, the splitting module is specifically used to:

[0040] Based on the first reference power command signal and the output power signal, calculating a residual wind power signal of the wind farm by a residual wind power algorithm;

[0041] Splitting the remaining wind power signal into target grid-connected wind power and a charge and discharge command signal of a chemical battery energy storage array, and splitting the charge and discharge command signal into sub-charge and discharge command signals by using a variational mode decomposition strategy;

[0042] The sub-charging and discharging instruction signals are used as the sub-residual wind power signals.

[0043] Optionally, the generating module is specifically used for:

[0044] Based on the target grid-connected wind power, identifying the unit maximum fluctuation information of the wind farm, and in the case where the unit maximum fluctuation is lower than a preset fluctuation threshold, screening each target sub-residual wind power signal in each sub-residual wind power signal by a wind power signal screening strategy;

[0045] The sum of the component signals of the sub-charge and discharge command signals corresponding to each of the target sub-residual wind power signals is calculated to obtain a second reference power command signal for the chemical battery energy storage array.

[0046] Optionally, the generating module is specifically used for:

[0047] Identify the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtain the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system;

[0048] Based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity, configure the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system;

[0049] Using the first reference power command signal as first capacity configuration information of the solid oxide electrolytic cell, and using the second reference power command signal as second capacity configuration information of the chemical battery energy storage array;

[0050] The target solid oxide electrolysis cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolysis cell, and the second capacity configuration information of the chemical battery energy storage array are used as the target capacity information of the hybrid energy storage system.

[0051] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0052] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0054] The capacity configuration method, device and computer equipment of the hybrid energy storage system described above obtain the output power signal of the wind farm and the electrolysis cell information of the solid oxide electrolysis cell, and generate the initial power command signal of the solid oxide electrolysis cell based on the output power signal and the electrolysis cell information; split the initial power command signal into sub-power command signals through a continuous variational mode decomposition strategy, and screen the first reference power command signal of the solid oxide electrolysis cell in each of the sub-power command signals through a preset power command screening strategy; calculate the residual wind power signal of the wind farm based on the reference power command signal and the output power signal, and split the residual wind power signal into sub-residual wind power signals through a variational mode decomposition strategy; screen the second reference power command signal of the chemical battery energy storage array in each of the sub-residual wind power signals through a preset wind power signal screening strategy, and generate the target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy based on the first reference power command signal and the second reference power command signal. This scheme, by applying the transient response characteristics of the solid oxide electrolytic cell system and combining the solid oxide electrolytic cell with a chemical battery energy storage array, configures a hybrid energy storage system, which can effectively smooth out the output power fluctuations of the wind farm and meet the grid connection standards. Secondly, this scheme considers the transient response characteristics of the solid oxide electrolytic cell system, combines the continuous variational mode decomposition method, proposes a power instruction decomposition method, and obtains the power instruction of the solid oxide electrolytic cell system. Finally, this scheme takes the grid-connected wind power meeting the grid connection standards as the goal, and adopts the variational mode decomposition method to obtain the target grid-connected wind power and the charge and discharge instructions of the chemical battery, effectively avoiding the problem that when the scale is expanded, the capacity configuration of the hybrid energy storage system will affect the advantages of different energy storage methods, thereby comprehensively improving the wind power fluctuation suppression effect of the hybrid energy storage system when the scale is expanded. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0056] Figure 1 A schematic diagram of a flow chart of a capacity configuration method of a hybrid energy storage system in one embodiment;

[0057] Figure 2 A curve schematic diagram of an original output curve of a wind farm on a target day in an embodiment;

[0058] Figure 3The continuous variational mode decomposition method decomposes P* in one embodiment. soec Signal schematic diagram of the signal;

[0059] Figure 4 A signal schematic diagram of decomposing a residual wind power signal using a variational mode decomposition method in one embodiment;

[0060] Figure 5 A schematic diagram showing a comparison of output power fluctuations of a wind farm-hybrid energy storage system in one embodiment;

[0061] Figure 6 A schematic diagram of a flow chart of an example of capacity configuration of a hybrid energy storage system in one embodiment;

[0062] Figure 7 A structural block diagram of a capacity configuration device of a hybrid energy storage system in one embodiment;

[0063] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0065] The capacity configuration method of the hybrid energy storage system provided in the embodiment of the present application can be applied to the application environment of the capacity configuration of the hybrid energy storage system. Among them, the method can be applied to the terminal, can also be applied to the server, and can also be applied to the system including the terminal and the server, and is realized through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, medium-sized computers, etc. Among them, the terminal configures the hybrid energy storage system by applying the transient response characteristics of the solid oxide electrolytic cell system and combining the solid oxide electrolytic cell with the chemical battery energy storage array, which can effectively smooth the output power fluctuation of the wind farm and meet the grid connection standard. Secondly, this scheme considers the transient response characteristics of the solid oxide electrolytic cell system, combines the continuous variational mode decomposition method, proposes a power instruction decomposition method, and obtains the power instruction of the solid oxide electrolytic cell system. Finally, this scheme takes the grid-connected wind power meeting the grid connection standard as the goal, adopts the variational mode decomposition method, obtains the target grid-connected wind power and the charge and discharge instructions of the chemical battery, and effectively avoids the problem that the capacity configuration of the hybrid energy storage system will affect the advantages of different energy storage methods when the scale is expanded, thereby comprehensively improving the wind power fluctuation suppression effect of the hybrid energy storage system when the scale is expanded.

[0066] In an exemplary embodiment, Figure 1As shown, a capacity configuration method for a hybrid energy storage system is provided, and the method is applied to a terminal as an example for explanation, including the following steps S101 to S104. Among them:

[0067] Step S101, obtaining an output power signal of a wind farm and electrolytic cell information of a solid oxide electrolytic cell, and generating an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information.

[0068] In this embodiment, the terminal first imports the data of a target day 24 hours of the wind farm output power as the original wind power signal (i.e., the output power signal), and its output power curve is as follows: Figure 2 As shown, the terminal then obtains characteristic information and cost information of the solid oxide electrolytic cell to obtain electrolytic cell information of the solid oxide electrolytic cell. Then, the terminal generates an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information. The specific generation process will be described in detail later, wherein the initial power command signal is a charge and discharge power signal for charging and discharging the solid oxide electrolytic cell.

[0069] Step S102, splitting the initial power command signal into sub-power command signals through a continuous variational mode decomposition strategy, and screening the first reference power command signal of the solid oxide electrolytic cell in each sub-power command signal through a preset power command screening strategy.

[0070] In this embodiment, the terminal uses a continuous variational mode decomposition strategy to split the initial power command signal into various sub-power command signals, and selects the first reference power command signal of the solid oxide electrolytic cell in each sub-power command signal through a preset power command screening strategy. The initial power command signal is set to P* soec , and when the continuous variational mode decomposition strategy is executed, the terminal uses the initial power command signal as the input signal f(t), and the execution mode of the continuous variational mode decomposition strategy is:

[0071] (1) Assume that the input signal f(t) is decomposed into two signals: the Lth mode u L (t) and the residual signal f r (t). The residual signal consists of two parts: the sum of the previously obtained modes and the unprocessed part of the input signal f(t). Each mode should converge around its center frequency. The first minimization criterion J for the Lth mode 1 as follows:

[0072] (1)

[0073] In the formula, ∂ tis the partial derivative with respect to t; ω is the center frequency of the Lth mode; the symbol * is the convolution operation; ||·|| 2 For L 2 norm; δ(t) is the Dirac function; j 2 =-1.

[0074] (2) Residual signal f r (t) should be in u L (t) is minimized at the frequency with effective components, and the second minimization criterion J 2 The formula is as follows:

[0075] (2)

[0076] In the formula, is the impulse response of the filter.

[0077] (3) By minimizing the criterion J 1 and J 2 , the Lth mode can be obtained, but this mode may be one of the previously obtained L-1th modes. In order to avoid the above situation, the additional criterion J 3 as follows:

[0078] (3)

[0079] In the formula, .

[0080] (4) For better convergence, consider the quadratic penalty term and Lagrange multiplier The combination of is used to establish the enhanced Lagrangian function as follows:

[0081] (4)

[0082] In the formula, is the sub-power command signal of the Lth mode obtained by splitting.

[0083] The specific process of screening the first reference power command signal will be described in detail later.

[0084] Step S103, based on the first reference power command signal and the output power signal, the residual wind power signal of the wind farm is calculated, and the residual wind power signal is split into sub-residual wind power signals by using a variational mode decomposition strategy.

[0085] In this embodiment, the terminal calculates the residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and splits the residual wind power signal into sub-residual wind power signals through the variational mode decomposition strategy. Among them, the calculation of the residual wind power signal of the wind farm is calculated by the residual wind power algorithm, and the specific calculation process will be described in detail later. The splitting strategy of the variational mode decomposition strategy will also be described in detail later. Among them, the residual wind power signal includes a charging and discharging power signal for charging and discharging a chemical battery energy storage array, and a grid-connected wind power signal for connecting a solid oxide electrolytic cell to the chemical battery energy storage array. Among them, the chemical battery energy storage array can be a lithium-ion battery energy storage array.

[0086] Step S104, in each sub-residual wind power signal, the second reference power command signal of the chemical battery energy storage array is screened through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, the target capacity information of the hybrid energy storage system is generated through a hybrid capacity configuration strategy.

[0087] In this embodiment, the terminal screens the second reference power command signal of the chemical battery energy storage array in each sub-residual wind power signal through a preset wind power signal screening strategy, and generates the target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy based on the first reference power command signal and the second reference power command signal. Among them, the wind power signal screening strategy is a strategy for signal screening based on the grid-connected wind power signal, and the specific screening process and generation process will be described in detail later.

[0088] Based on the above scheme, by applying the transient response characteristics of the solid oxide electrolytic cell system, the solid oxide electrolytic cell is combined with the chemical battery energy storage array to configure a hybrid energy storage system, which can effectively smooth the output power fluctuations of the wind farm and meet the grid connection standards. Secondly, this scheme considers the transient response characteristics of the solid oxide electrolytic cell system, combines the continuous variational mode decomposition method, proposes a power instruction decomposition method, and obtains the power instruction of the solid oxide electrolytic cell system. Finally, this scheme takes the grid-connected wind power meeting the grid connection standards as the goal, and adopts the variational mode decomposition method to obtain the target grid-connected wind power and the charge and discharge instructions of the chemical battery, effectively avoiding the problem that when the scale is expanded, the capacity configuration of the hybrid energy storage system will affect the advantages of different energy storage methods, thereby comprehensively improving the wind power fluctuation suppression effect of the hybrid energy storage system when the scale is expanded.

[0089] Optionally, an initial power command signal for the solid oxide electrolytic cell is generated based on the output power signal and the electrolytic cell information, including: identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell based on the electrolytic cell information, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information; and calculating the initial power command signal for the solid oxide electrolytic cell based on the output power signal and the power consumption proportional coefficient.

[0090] In this embodiment, the terminal identifies the characteristic information of the solid oxide electrolytic cell and the cost information of the solid oxide electrolytic cell based on the electrolytic cell information, and generates the power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information. Specifically, the terminal presets the corresponding relationship between the characteristic information and the cost information and the power consumption proportional coefficient (k), and then the terminal directly generates the power consumption proportional coefficient of the solid oxide electrolytic cell by using the identified characteristic information and the cost information through the above corresponding relationship.

[0091] Then, the terminal calculates the initial power command signal of the solid oxide electrolytic cell based on the output power signal and the power consumption proportional coefficient. soec ) is calculated as follows:

[0092] (5)

[0093] Where P w is the output power of the wind farm, and k is defined as the power consumption proportional coefficient of the solid oxide electrolysis cell system.

[0094] Based on the above scheme, the power consumption proportional coefficient of the solid oxide electrolytic cell is set through the characteristic information of the solid oxide electrolytic cell and the cost information of the solid oxide electrolytic cell, so as to determine its initial power command signal, thereby improving the accuracy and adaptability of the determined initial power command signal.

[0095] Optionally, in each sub-power command signal, a first reference power command signal of the solid oxide electrolysis cell is screened through a preset power command screening strategy, including: based on the power command screening strategy, identifying a system ramp rate threshold and a signal frequency threshold of the solid oxide electrolysis cell; identifying the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screening the first reference power command signal of the solid oxide electrolysis cell through the system ramp rate threshold and the signal frequency threshold.

[0096] In this embodiment, the terminal identifies the system ramp rate threshold and signal frequency threshold of the solid oxide electrolytic cell based on the power instruction screening strategy.

[0097] Then, the terminal identifies the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screens the first reference power command signal (P soec,ref ). Specifically, Figure 3 As shown, the terminal splits the initial power command signal into multiple signal components IMF (i.e., sub-power command signals). Then, the terminal sets the system ramp rate threshold and signal frequency threshold of the solid oxide electrolysis cell, thereby dividing each signal into two types, and screening the solid oxide electrolysis cell system reference power command, so that the reference power command frequency is less than 1 / 120Hz, which satisfies the system ramp rate limited by the transient characteristics of the solid oxide electrolysis cell. This ensures that the obtained solid oxide electrolysis cell system reference power command meets the solid oxide electrolysis cell system ramp rate restriction condition and is a low-frequency signal component IMF. 1 (1) The transient response characteristics of the solid oxide electrolyzer system can be used to comprehensively improve the solid oxide electrolyzer's ability to smooth wind power fluctuations.

[0098] Based on the above scheme, by identifying the system ramp rate threshold and signal frequency threshold of the solid oxide electrolyzer, a reference power instruction for the solid oxide electrolyzer system that satisfies the system ramp rate limited by the transient characteristics of the solid oxide electrolyzer is screened, thereby improving the solid oxide electrolyzer's effect of smoothing wind power fluctuations.

[0099] Optionally, based on the first reference power command signal and the output power signal, the residual wind power signal of the wind farm is calculated, and the residual wind power signal is split into sub-residual wind power signals through a variational mode decomposition strategy, including: based on the first reference power command signal and the output power signal, the residual wind power signal of the wind farm is calculated through a residual wind power algorithm; the residual wind power signal is split into a target grid-connected wind power and a charge and discharge command signal of a chemical battery energy storage array, and the charge and discharge command signal is split into sub-charge and discharge command signals through a variational mode decomposition strategy; and each sub-charge and discharge command signal is used as a sub-residual wind power signal.

[0100] In this embodiment, the terminal calculates the residual wind power signal of the wind farm based on the reference power command signal and the output power signal through the residual wind power algorithm. The calculation formula of the residual wind power algorithm is:

[0101] (6)

[0102] In the formula, is the residual wind power signal, P soec,ref is the first reference power command signal, is the wind power signal.

[0103] Then, the terminal splits the remaining wind power signal into the target grid-connected wind power and the charge and discharge command signal of the chemical battery energy storage array, and splits the charge and discharge command signal into sub-charge and discharge command signals through the variational mode decomposition strategy. The variational mode decomposition strategy is specifically as follows:

[0104] (1) The variational problem is described as follows:

[0105] (7)

[0106] In the formula, u k (t) is the kth IMF component obtained by decomposing the complex signal f(t) at time t; w k is the center frequency; δ(t) is the pulse function; is the estimated center frequency; K is the number of IMF components obtained by decomposition.

[0107] (2) The variational problem is solved as follows: The quadratic penalty term α and the Lagrangian multiplier λ(t) are introduced to obtain an unconstrained formula and construct the light-enhancing Lagrangian function:

[0108] (8)

[0109] In the formula, ∂ t is the partial derivative with respect to t.

[0110] (3) Using the alternating direction multiplier method, by introducing continuous iterative updates , , Find the "saddle point", then transform it to the frequency domain, and use Hermitian symmetry to transform it into a half-space integral on a non-negative frequency. Finally, the modal function and center frequency are obtained as follows:

[0111] (9)

[0112] (10)

[0113] In the formula, is the current remaining amount Wiener filtering; , , They are , , The Fourier transform of , n is the number of iterations.

[0114] By using VMD method , obtain n IMF components (IMF 2 ). Find the component IMF that meets the grid connection standard 2 (1) To IMF 2 (j) After that, set the power command of the chemical battery energy storage array The final target grid-connected power is as follows:

[0115] (11)

[0116] Finally, the terminal uses the charge and discharge command signals of each sub-module as the remaining wind power signals of each sub-module.

[0117] Based on the above scheme, after calculating the remaining wind power signal, the charge and discharge command signal is split into sub-charge and discharge command signals through the variational mode decomposition strategy, thereby improving the splitting adaptability of the charging and discharging command signal for the chemical battery energy storage array.

[0118] Optionally, in each sub-residual wind power signal, a second reference power command signal of the chemical battery energy storage array is screened through a preset wind power signal screening strategy, including: based on the target grid-connected wind power, identifying the unit maximum fluctuation information of the wind farm, and when the unit maximum fluctuation is lower than a preset fluctuation threshold, in each sub-residual wind power signal, screening each target sub-residual wind power signal through a wind power signal screening strategy; calculating the sum of component signals of the sub-charge and discharge command signal corresponding to each target sub-residual wind power signal to obtain the second reference power command signal of the chemical battery energy storage array.

[0119] In this embodiment, the terminal identifies the unit maximum fluctuation information of the wind farm based on the target grid-connected wind power, and when the unit maximum fluctuation is lower than the preset fluctuation threshold, the terminal filters each target sub-residual wind power signal in each sub-residual wind power signal through the wind power signal screening strategy. Finally. The terminal calculates the sum of the component signals of the sub-charge and discharge command signals corresponding to each target sub-residual wind power signal to obtain the second reference power command signal of the chemical battery energy storage array. Among them, the unit maximum fluctuation can be the maximum fluctuation of wind power within 1 minute. Specifically, for example, Figure 4 As shown in the figure, the terminal decomposes the residual wind power signal into 9 IMFs through the variational mode strategy. 2 Component, then, according to the wind farm grid connection standard, the maximum fluctuation of the wind farm in 1 minute should not exceed 3MW. 2 (1) and IMF 2 (2) The sum of the components just meets the grid connection requirements. Therefore, IMF is selected 2 (3) To IMF 2(8) The sum of the components is used as the reference power instruction (i.e., the second reference power instruction signal) of the chemical battery energy storage array.

[0120] Based on the above scheme, by screening the reference power instructions of the chemical battery energy storage array while meeting the grid-connected requirements, the adaptability of the screened reference power instructions to the normal operation of the hybrid energy storage system is improved.

[0121] Optionally, based on the first reference power command signal and the second reference power command signal, a hybrid capacity configuration strategy is used to generate target capacity information of the hybrid energy storage system, including: identifying the unit solid battery capacity of the solid oxide electrolysis cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtaining the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system; configuring the target solid oxide electrolysis cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity; using the first reference power command signal as the first capacity configuration information of the solid oxide electrolysis cell, and using the second reference power command signal as the second capacity configuration information of the chemical battery energy storage array; using the target solid oxide electrolysis cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolysis cell, and the second capacity configuration information of the chemical battery energy storage array as the target capacity information of the hybrid energy storage system.

[0122] In this embodiment, the terminal identifies the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array. Specifically:

[0123] (1) The terminal sets the discharge power of the solid oxide electrolytic cell energy storage system to be negative and the charging power to be positive. The maximum absolute value of the reference power signal of the solid oxide electrolytic cell energy storage system is selected as the rated power of the solid oxide electrolytic cell energy storage unit.

[0124] (2) For chemical battery energy storage arrays, after the terminal determines its rated capacity, it calculates the required power and uses it to correct the capacity. The required power E for charging and discharging of chemical battery energy storage units f and the capacity E to be configured rated,f As shown below:

[0125] (12)

[0126] (13)

[0127] In the formula, , N is the number of sampled data, is the charge and discharge power instruction of energy storage unit x, f s is the sampling frequency, SOC max , SOC min The upper and lower limits of the state of charge (SOC) determined by the boundary conditions for safe operation of chemical battery energy storage. ref Initial SOC for a given battery chemistry.

[0128] Then, the terminal obtains the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system. The solid oxide electrolytic cell includes a plurality of identical solid oxide electrolytic cell modules, and the chemical battery energy storage array includes a plurality of identical chemical battery energy storage units, wherein the system setting ratio value is an integer multiple of the ratio of the capacity of the solid oxide electrolytic cell module in the hybrid energy storage system to the capacity of the chemical battery energy storage unit.

[0129] Afterwards, the terminal configures the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity. Specifically, according to the capacity configuration method, 13 250kW / 500kWh chemical battery energy storage units and 26 20kW solid oxide electrolytic cell modules are selected to form a 3.77MW / 6.5MWh hybrid energy storage system to smooth out the output power fluctuations of the wind farm. With the energy storage system configuration not exceeding 20% ​​of the rated installed capacity of the wind farm as a constraint, the total capacity of the hybrid energy storage system accounts for 12.6%, which meets the constraint conditions. As shown in the figure, in the actual experimental process, only the hybrid energy storage system designed in this scheme can smooth out the output power fluctuations of the wind farm and meet the grid connection standards.

[0130] Afterwards, the terminal uses the first reference power command signal as the first capacity configuration information of the solid oxide electrolytic cell, and uses the second reference power command signal as the second capacity configuration information of the chemical battery energy storage array. Finally, the terminal uses the target solid oxide electrolytic cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolytic cell, and the second capacity configuration information of the chemical battery energy storage array as the target capacity information of the hybrid energy storage system.

[0131] Based on the above scheme, by applying the transient response characteristics of the solid oxide electrolytic cell system, the solid oxide electrolytic cell is combined with the chemical battery energy storage array to configure a hybrid energy storage system, which can effectively smooth out the output power fluctuations of the wind farm and meet the grid connection standards. As the scale expands, the hybrid energy storage system can also be adaptively expanded through the system setting ratio value, effectively avoiding the problem that the capacity configuration of the hybrid energy storage system will affect the advantages of different energy storage methods when the scale is expanded, thereby comprehensively improving the wind power fluctuation suppression effect of the hybrid energy storage system when the scale is expanded.

[0132] This application also provides a capacity configuration example of a hybrid energy storage system, such as Figure 6 As shown, the specific processing process includes the following steps:

[0133] Step S601, obtaining the output power signal of the wind farm and the electrolytic cell information of the solid oxide electrolytic cell.

[0134] Step S602, based on the electrolytic cell information, identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information.

[0135] Step S603, calculating an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the power consumption proportional coefficient.

[0136] Step S604: split the initial power command signal into sub-power command signals by using a continuous variational mode decomposition strategy.

[0137] Step S605, based on the power instruction screening strategy, identifying the system ramp rate threshold and signal frequency threshold of the solid oxide electrolytic cell.

[0138] Step S606, identifying the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, through the system ramp rate threshold and the signal frequency threshold, screening the first reference power command signal of the solid oxide electrolysis cell.

[0139] Step S607: Based on the first reference power command signal and the output power signal, a residual wind power signal of the wind farm is calculated by a residual wind power algorithm.

[0140] Step S608, splitting the remaining wind power signal into the target grid-connected wind power and the charge and discharge command signal of the chemical battery energy storage array, and splitting the charge and discharge command signal into sub-charge and discharge command signals through a variational mode decomposition strategy.

[0141] Step S609: using each sub-charging and discharging instruction signal as each sub-residual wind power signal.

[0142] Step S610, based on the target grid-connected wind power, identify the unit maximum fluctuation information of the wind farm, and when the unit maximum fluctuation is lower than the preset fluctuation threshold, filter each target sub-residual wind power signal in each sub-residual wind power signal by using the wind power signal filtering strategy.

[0143] Step S611, calculating the sum of the component signals of the sub-charge and discharge command signals corresponding to each target sub-residual wind power signal to obtain a second reference power command signal for the chemical battery energy storage array.

[0144] Step S612, identifying the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtaining the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system.

[0145] Step S613, based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity, configure the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system.

[0146] Step S614, using the first reference power command signal as first capacity configuration information of the solid oxide electrolytic cell, and using the second reference power command signal as second capacity configuration information of the chemical battery energy storage array.

[0147] Step S615, taking the target solid oxide electrolytic cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolytic cell, and the second capacity configuration information of the chemical battery energy storage array as the target capacity information of the hybrid energy storage system.

[0148] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0149] Based on the same inventive concept, the embodiment of the present application also provides a capacity configuration device for a hybrid energy storage system for implementing the capacity configuration method of the hybrid energy storage system involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of the capacity configuration device for one or more hybrid energy storage systems provided below can refer to the limitations of the capacity configuration method for the hybrid energy storage system above, and will not be repeated here.

[0150] In an exemplary embodiment, Figure 7 As shown, a capacity configuration device for a hybrid energy storage system is provided, including: an acquisition module 710, a screening module 720, a splitting module 730 and a generating module 740, wherein:

[0151] An acquisition module 710 is used to acquire an output power signal of a wind farm and electrolysis cell information of a solid oxide electrolysis cell, and generate an initial power command signal of the solid oxide electrolysis cell based on the output power signal and the electrolysis cell information;

[0152] A screening module 720 is used to split the initial power command signal into sub-power command signals through a continuous variational mode decomposition strategy, and screen the first reference power command signal of the solid oxide electrolytic cell in each of the sub-power command signals through a preset power command screening strategy;

[0153] A splitting module 730 is used to calculate a residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and split the residual wind power signal into sub-residual wind power signals by using a variational mode decomposition strategy;

[0154] The generation module 740 is used to filter the second reference power command signal of the chemical battery energy storage array in each of the sub-residual wind power signals through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, generate the target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy.

[0155] Optionally, the acquisition module 710 is specifically configured to:

[0156] Based on the electrolytic cell information, identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information;

[0157] An initial power command signal of the solid oxide electrolytic cell is calculated based on the output power signal and the power consumption proportional coefficient.

[0158] Optionally, the screening module 720 is specifically used for:

[0159] Based on the power command screening strategy, identifying a system ramp rate threshold and a signal frequency threshold of the solid oxide electrolytic cell;

[0160] Identify the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screen the first reference power command signal of the solid oxide electrolysis cell through the system ramp rate threshold and the signal frequency threshold.

[0161] Optionally, the splitting module 730 is specifically used to:

[0162] Based on the first reference power command signal and the output power signal, calculating a residual wind power signal of the wind farm by a residual wind power algorithm;

[0163] Splitting the remaining wind power signal into target grid-connected wind power and a charge and discharge command signal of a chemical battery energy storage array, and splitting the charge and discharge command signal into sub-charge and discharge command signals by using a variational mode decomposition strategy;

[0164] The sub-charging and discharging instruction signals are used as the sub-residual wind power signals.

[0165] Optionally, the generating module 740 is specifically configured to:

[0166] Based on the target grid-connected wind power, identifying the unit maximum fluctuation information of the wind farm, and in the case where the unit maximum fluctuation is lower than a preset fluctuation threshold, screening each target sub-residual wind power signal in each of the sub-residual wind power signals by using a wind power signal screening strategy;

[0167] The sum of the component signals of the sub-charge and discharge command signals corresponding to each of the target sub-residual wind power signals is calculated to obtain a second reference power command signal for the chemical battery energy storage array.

[0168] Optionally, the generating module 740 is specifically configured to:

[0169] Identify the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtain the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system;

[0170] Based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity, configure the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system;

[0171] Using the first reference power command signal as first capacity configuration information of the solid oxide electrolytic cell, and using the second reference power command signal as second capacity configuration information of the chemical battery energy storage array;

[0172] The target solid oxide electrolysis cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolysis cell, and the second capacity configuration information of the chemical battery energy storage array are used as the target capacity information of the hybrid energy storage system.

[0173] Each module in the capacity configuration device of the hybrid energy storage system can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0174] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a capacity configuration method of a hybrid energy storage system is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0175] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0176] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of a capacity configuration method of a hybrid energy storage system when executing the computer program.

[0177] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of a capacity configuration method of a hybrid energy storage system are implemented.

[0178] In one embodiment, a computer program product is provided, including a computer program, which implements the steps of a capacity configuration method for a hybrid energy storage system when executed by a processor.

[0179] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0180] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0181] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0182] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A capacity configuration method for a hybrid energy storage system, characterized in that: The method comprises: Acquiring an output power signal of a wind farm and electrolytic cell information of a solid oxide electrolytic cell, and generating an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information; The initial power command signal is split into sub-power command signals by a continuous variational mode decomposition strategy, and a first reference power command signal of the solid oxide electrolytic cell is screened in each of the sub-power command signals by a preset power command screening strategy; Based on the first reference power command signal and the output power signal, a residual wind power signal of the wind farm is calculated, and the residual wind power signal is split into sub-residual wind power signals by using a variational mode decomposition strategy; In each of the sub-residual wind power signals, the second reference power command signal of the chemical battery energy storage array is screened through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, a hybrid capacity configuration strategy is used to generate target capacity information of the hybrid energy storage system.

2. The method according to claim 1, characterized in that The generating of the initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information comprises: Based on the electrolytic cell information, identifying characteristic information of the solid oxide electrolytic cell and cost information of the solid oxide electrolytic cell, and generating a power consumption proportional coefficient of the solid oxide electrolytic cell based on the characteristic information and the cost information; An initial power command signal of the solid oxide electrolytic cell is calculated based on the output power signal and the power consumption proportional coefficient.

3. The method according to claim 1, characterized in that: The method of screening the first reference power command signal of the solid oxide electrolytic cell in each of the sub-power command signals by a preset power command screening strategy includes: Based on the power command screening strategy, identifying a system ramp rate threshold and a signal frequency threshold of the solid oxide electrolytic cell; Identify the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, and based on the signal frequency of each sub-power command signal and the system ramp rate corresponding to each sub-power command signal, screen the first reference power command signal of the solid oxide electrolysis cell through the system ramp rate threshold and the signal frequency threshold.

4. The method according to claim 1, characterized in that: The method of calculating the residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and splitting the residual wind power signal into sub-residual wind power signals by using a variational mode decomposition strategy, includes: Based on the first reference power command signal and the output power signal, calculating a residual wind power signal of the wind farm by a residual wind power algorithm; Splitting the remaining wind power signal into target grid-connected wind power and a charge and discharge command signal of a chemical battery energy storage array, and splitting the charge and discharge command signal into sub-charge and discharge command signals by using a variational mode decomposition strategy; The sub-charging and discharging instruction signals are used as the sub-residual wind power signals.

5. The method according to claim 4, characterized in that The second reference power command signal of the chemical battery energy storage array is screened in each of the sub-residual wind power signals by a preset wind power signal screening strategy, including: Based on the target grid-connected wind power, identifying the unit maximum fluctuation information of the wind farm, and in the case where the unit maximum fluctuation is lower than a preset fluctuation threshold, screening each target sub-residual wind power signal in each of the sub-residual wind power signals by using a wind power signal screening strategy; The sum of the component signals of the sub-charge and discharge command signals corresponding to each of the target sub-residual wind power signals is calculated to obtain a second reference power command signal for the chemical battery energy storage array.

6. The method according to claim 5, characterized in that The generating target capacity information of the hybrid energy storage system based on the first reference power command signal and the second reference power command signal through a hybrid capacity configuration strategy includes: Identify the unit solid battery capacity of the solid oxide electrolytic cell and the unit chemical battery capacity of the chemical battery energy storage array, and obtain the rated installed capacity of the wind farm and the system setting ratio value of the hybrid energy storage system; Based on the rated installed capacity of the wind farm, the system setting ratio value of the hybrid energy storage system, the unit solid battery capacity, and the unit chemical battery capacity, configure the target solid oxide electrolytic cell capacity of the hybrid energy storage system and the target chemical battery energy storage array capacity of the hybrid energy storage system; Using the first reference power command signal as first capacity configuration information of the solid oxide electrolytic cell, and using the second reference power command signal as second capacity configuration information of the chemical battery energy storage array; The target solid oxide electrolysis cell capacity of the hybrid energy storage system, the target chemical battery energy storage array capacity of the hybrid energy storage system, the first capacity configuration information of the solid oxide electrolysis cell, and the second capacity configuration information of the chemical battery energy storage array are used as the target capacity information of the hybrid energy storage system.

7. A capacity configuration device for a hybrid energy storage system, characterized in that: The device comprises: An acquisition module, used to acquire an output power signal of a wind farm and electrolytic cell information of a solid oxide electrolytic cell, and generate an initial power command signal of the solid oxide electrolytic cell based on the output power signal and the electrolytic cell information; A screening module, used to split the initial power command signal into sub-power command signals through a continuous variational mode decomposition strategy, and screen the first reference power command signal of the solid oxide electrolytic cell in each of the sub-power command signals through a preset power command screening strategy; a splitting module, configured to calculate a residual wind power signal of the wind farm based on the first reference power command signal and the output power signal, and split the residual wind power signal into sub-residual wind power signals by using a variational mode decomposition strategy; A generation module is used to screen the second reference power command signal of the chemical battery energy storage array in each of the sub-residual wind power signals through a preset wind power signal screening strategy, and based on the first reference power command signal and the second reference power command signal, generate the target capacity information of the hybrid energy storage system through a hybrid capacity configuration strategy.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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