Hybrid energy storage grid connection method and system based on acquisition error adjustment

Abstract

The invention relates to the technical field of power grid frequency modulation, in particular to a hybrid energy storage grid connection method and system based on acquisition error adjustment, and the method comprises the steps: obtaining a trend change factor and a fluctuation degree according to the difference of adjacent data in a frequency modulation instruction sequence; obtaining the number of decomposition layers of the frequency modulation instruction signal according to the trend change factor and the fluctuation degree; adjusting the frequency modulation instruction sequence through an exponential function and a hyperbolic tangent function to obtain an exponential adjustment sequence and a hyperbolic tangent adjustment sequence; according to the frequency modulation instruction sequence, the decomposition layer number of the frequency modulation instruction signal, the index adjustment sequence and the hyperbolic tangent adjustment sequence, obtaining a component sequence; determining high and low frequency distinguishing data according to the decomposition layer number of the frequency modulation instruction signal; and respectively distributing the component sequences to the super capacitor and the battery for response through high and low frequency distinguishing data. According to the invention, the accuracy of hybrid energy storage frequency modulation control is improved.

Description

Technical Field

[0001] This invention relates to the field of power grid frequency regulation technology, and in particular to a hybrid energy storage grid connection method and system based on acquisition error adjustment. Background Technology

[0002] Energy storage frequency regulation command prediction refers to the process of predicting changes in frequency regulation commands when using energy storage systems to perform frequency regulation tasks in a power system, thereby optimizing the scheduling and response of the energy storage system. Frequency regulation in power systems is crucial, especially with the increasing proportion of renewable energy (such as wind and solar power) and the resulting increase in frequency instability. In this context, energy storage systems are playing an increasingly important role.

[0003] Frequency regulation commands are signals issued by the power system dispatch center or automation equipment, instructing energy storage systems on how to adjust charging and discharging power to maintain grid frequency stability. Energy storage systems need to respond quickly to emergencies and faults based on these frequency regulation commands to ensure frequency stability.

[0004] Traditional thermal power units require hybrid energy storage systems (supercapacitors and lithium batteries) to meet certain requirements. Therefore, when there is a difference between the output of the thermal power unit and the frequency regulation command, the slow response of the thermal power unit necessitates the use of a hybrid energy storage system to maintain system stability. Since hybrid energy storage includes both supercapacitors and lithium batteries, controlling the hybrid energy storage using frequency regulation commands requires decomposing the original signal corresponding to the frequency regulation command using a VMD (Variational Mode Decomposition) algorithm to obtain multiple component signals. Then, by distinguishing the high and low frequencies of these component signals, the supercapacitors and lithium batteries are controlled and regulated separately. However, when distinguishing the high and low frequencies of the component signals, the frequency of the component signals in the middle of the high and low frequencies suffers from aliasing, resulting in poor separation of high and low frequencies. This leads to a decrease in the accuracy of the hybrid energy storage frequency regulation control and affects the system's steady state. Summary of the Invention

[0005] This invention provides a hybrid energy storage grid connection method and system based on acquisition error adjustment, which is used to solve the aliasing problem of high and low frequencies in frequency modulation command signals.

[0006] The objective of this invention can be achieved through the following technical solutions: The first aspect of this invention is to provide a hybrid energy storage grid connection method based on acquisition error adjustment, comprising: Acquire frequency modulation command signal; The frequency modulation (FM) command signal is divided to obtain an FM command sequence; difference sequences and ratio sequences are obtained based on the differences between adjacent data in the FM command sequence; trend change factors are obtained based on the data distribution in the difference sequence; and fluctuation levels are obtained based on the data distribution in the ratio sequence; finally, the number of decomposition levels of the FM command signal is determined based on the trend change factors and fluctuation levels. ; The frequency modulation (FM) command sequence is adjusted using the exponential function and the hyperbolic tangent function, respectively, to obtain the exponential adjustment sequence and the hyperbolic tangent adjustment sequence. Based on the FM command sequence, the number of decomposition levels of the FM command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the data that distinguishes between high and low frequencies; By distinguishing between high and low frequency data Each component sequence is assigned to the supercapacitor and battery respectively for response.

[0007] Further, the step of dividing the frequency modulation command signal to obtain the frequency modulation command sequence includes: At a preset time interval The frequency modulation command signal is divided into several data points, and these data points are grouped into a sequence according to time order, which is called the frequency modulation command sequence.

[0008] Further, the step of obtaining a difference sequence and a ratio sequence based on the differences between adjacent data in the frequency modulation command sequence, obtaining a trend change factor based on the data distribution in the difference sequence, and obtaining the degree of fluctuation based on the data distribution in the ratio sequence includes:

[0009] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the frequency modulation command sequence One data point, Represents the first value in the difference sequence. One data point;

[0010] In the formula, Represents the first value in the ratio sequence. One data point; The number of pairs of adjacent data with opposite signs in the difference sequence is recorded as the trend change factor.

[0011] In the formula, This represents the maximum value among all data points in the ratio sequence. This represents the minimum value among all data in the ratio sequence. Indicates the degree of fluctuation.

[0012] Furthermore, the number of decomposition layers of the frequency modulation command signal is obtained based on the trend change factor and the degree of fluctuation. ,include:

[0013] In the formula, This represents an exponential function with the natural constant as its base. Represents the hyperbolic tangent function. Indicates the degree of fluctuation. Indicates the trend change factor. This indicates the number of decomposition layers of the frequency modulation command signal. Indicates to Round to the nearest integer.

[0014] Furthermore, the frequency modulation command sequence is adjusted using an exponential function and a hyperbolic tangent function respectively to obtain an exponential adjustment sequence and a hyperbolic tangent adjustment sequence; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: The component sequence includes:

[0015] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the exponentially adjusted sequence One data point, Represents an exponential function with the natural constant as its base;

[0016] In the formula, Indicates the first hyperbolic tangent adjustment sequence One data point, Represents the hyperbolic tangent function; Among them, the former Each data point in each component sequence is specifically represented by the formula:

[0017] In the formula, This indicates the number of decomposition layers of the frequency modulation command signal. This represents the maximum value among all data in the exponentially adjusted sequence. This represents the minimum value among all data in the hyperbolic tangent adjusted sequence. Indicates the first In the nth component sequence One data point, express Functions used for data normalization; Among them, the Each data point in the component sequence is specifically represented by the following formula:

[0018] In the formula, Indicates the first In the nth component sequence Data.

[0019] Furthermore, the number of decomposition layers based on the frequency modulation command signal... The data for distinguishing between high and low frequencies were determined, including:

[0020] In the formula, This indicates the number of decomposition layers of the frequency modulation command signal. This represents an exponential function with the natural constant as its base. express Functions used for data normalization. This indicates that the first parameter is preset. This indicates that the second parameter is preset. Data indicating the distinction between high and low frequencies; Indicates to Round to the nearest integer.

[0021] Furthermore, the distinction between high and low frequency data will... Each component sequence is assigned to the supercapacitor and battery for response, including: Translate the first component sequence to the second component sequence. The first component sequence is assigned to the supercapacitor for response, and the second component sequence is assigned to the supercapacitor for response. The component sequence to the first Each component sequence is assigned to the battery in response.

[0022] A second aspect of the present invention is to provide a hybrid energy storage grid-connected system based on acquisition error adjustment, comprising: Data acquisition module: used to acquire frequency modulation command signals; The decomposition level determination module is used to divide the frequency modulation (FM) command signal to obtain the FM command sequence; obtain the difference sequence and ratio sequence based on the differences between adjacent data in the FM command sequence; obtain the trend change factor based on the data distribution in the difference sequence; obtain the fluctuation level based on the data distribution in the ratio sequence; and determine the decomposition level of the FM command signal based on the trend change factor and the fluctuation level. ; High and low frequency differentiation module: Used to adjust the frequency modulation command sequence using exponential and hyperbolic tangent functions respectively, to obtain exponential adjustment sequences and hyperbolic tangent adjustment sequences; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, obtain... A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the data that distinguishes between high and low frequencies; Allocation response module: used to differentiate data by high and low frequency. Each component sequence is assigned to the supercapacitor and battery respectively for response.

[0023] A third aspect of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the aforementioned hybrid energy storage grid-connected method based on acquisition error adjustment.

[0024] A fourth aspect of the present invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the hybrid energy storage grid-connected method based on acquisition error adjustment.

[0025] Compared with the prior art, the beneficial effects of the present invention are: obtaining difference sequences and ratio sequences based on the differences between adjacent data in the frequency modulation command sequence; obtaining trend change factors based on the data distribution in the difference sequence; and obtaining the degree of fluctuation based on the data distribution in the ratio sequence, thereby improving the accuracy of fluctuation analysis of the frequency modulation command sequence; and obtaining the number of decomposition layers of the frequency modulation command signal based on the trend change factors and the degree of fluctuation. This improves the accuracy of determining the number of decomposition levels; the frequency modulation command sequence is adjusted using exponential and hyperbolic tangent functions respectively to obtain exponential adjustment sequences and hyperbolic tangent adjustment sequences; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the high- and low-frequency distinguishing data to improve the accuracy of high- and low-frequency differentiation; use the high- and low-frequency distinguishing data to... Each component sequence is assigned to the supercapacitor and battery for response. By distinguishing the component sequences, the accuracy of hybrid energy storage frequency regulation control is improved, and the steady state of the system is also improved. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This invention provides a schematic flowchart of a hybrid energy storage grid connection method based on acquisition error adjustment. Figure 2 This invention provides a schematic diagram of the module flow of a hybrid energy storage grid-connected system based on acquisition error adjustment. Detailed Implementation

[0028] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0030] To address the problems existing in the background technology, a hybrid energy storage grid connection method and system based on acquisition error adjustment is designed, which has important practical significance.

[0031] like Figure 1 As shown, the first aspect of the present invention is to provide a hybrid energy storage grid connection method based on acquisition error adjustment, comprising the following steps: Step S001: Acquire the frequency modulation command signal.

[0032] It should be noted that when there is a deviation in the balance between power supply and demand (such as load changes, fluctuations in power generation, etc.), the power system's dispatch center or automation system generates frequency regulation commands based on the system's frequency fluctuations, load demand, and power generation. Through these commands, the dispatch center can mobilize hybrid energy storage systems (including batteries and supercapacitors) to participate in frequency regulation, quickly respond to grid frequency fluctuations, maintain frequency stability, effectively cope with emergencies, and reduce the possibility of system failures.

[0033] Specifically, obtain the preset duration before the current moment. The frequency regulation command signal from the power system dispatch center every hour, wherein, in this embodiment, the preset duration is... In this embodiment, a preset duration is used. No specific restrictions are imposed; implementers can decide based on the specific circumstances.

[0034] Thus, the frequency regulation command signal for the dispatch center to mobilize the hybrid energy storage system to participate in frequency regulation was obtained through the above method.

[0035] Step S002: Divide the frequency modulation command signal to obtain the frequency modulation command sequence; obtain the difference sequence and ratio sequence based on the differences between adjacent data in the frequency modulation command sequence; obtain the trend change factor based on the data distribution in the difference sequence; obtain the fluctuation degree based on the data distribution in the ratio sequence; obtain the number of decomposition layers of the frequency modulation command signal based on the trend change factor and the fluctuation degree.

[0036] It should be noted that since the distribution of data in the frequency modulation command signal can reflect the changing characteristics of the signal data, and the differences in the fluctuations of the signal data can reflect the error characteristics of the data, the frequency modulation command signal is divided into data points to analyze the data error situation.

[0037] Specifically, at a preset time interval The frequency modulation (FM) command signal is divided to obtain several data points corresponding to the divided FM command signal. These data points are then grouped into a sequence according to time order, denoted as the FM command sequence. In this embodiment, a preset time interval is used. seconds, where the preset time interval is... No specific restrictions are imposed; implementers can decide based on the specific circumstances.

[0038] Thus, the frequency modulation command sequence is obtained through the above method.

[0039] It should be noted that, in order to determine the number of component signals after decomposing the FM command signal, the fluctuations in the data of the FM command signal are analyzed. The greater the fluctuation, the more irregular it is, meaning there are more component signals after decomposition. The fluctuation pattern can be determined by analyzing the differences between data from adjacent time points.

[0040] Specifically, two sets of sequences are constructed based on the differences between adjacent data in the frequency modulation command sequence: a difference sequence and a ratio sequence. Each data point in the difference sequence is represented by the following formula:

[0041] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the frequency modulation command sequence One data point, Represents the first value in the difference sequence. Data.

[0042] The number of consecutive data points with opposite signs in the difference sequence is recorded as the trend change factor. Among them, trend change factor The larger the value, the greater the fluctuation of the frequency modulation command sequence, meaning that more component signals need to be decomposed.

[0043] Each data point in the ratio sequence is specifically represented by the following formula:

[0044] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the frequency modulation command sequence One data point, Represents the first value in the ratio sequence. Data.

[0045] The degree of fluctuation is obtained by analyzing the distribution of data in the ratio sequence; the degree of fluctuation is specifically expressed by the formula:

[0046] In the formula, This represents the maximum value among all data points in the ratio sequence. This represents the minimum value among all data in the ratio sequence. Indicates the degree of fluctuation.

[0047] The larger the ratio between the maximum and minimum values ​​in the ratio sequence, the greater the data fluctuation in the frequency modulation command sequence, i.e., the greater the degree of fluctuation.

[0048] The number of decomposition levels of the frequency modulation command signal is obtained based on the trend change factor and the degree of fluctuation; the specific number of decomposition levels of the frequency modulation command signal is expressed by the formula:

[0049] In the formula, This represents an exponential function with the natural constant as its base. Represents the hyperbolic tangent function. Indicates the degree of fluctuation. Indicates the trend change factor. This indicates the number of decomposition layers of the frequency modulation command signal. Indicates to Round to the nearest integer.

[0050] Thus, the number of decomposition layers of the frequency modulation command signal is obtained through the above method.

[0051] Step S003: Adjust the frequency modulation command sequence using the exponential function and the hyperbolic tangent function respectively to obtain the exponential adjustment sequence and the hyperbolic tangent adjustment sequence; obtain all component sequences based on the frequency modulation command sequence, the number of decomposition layers of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence; determine the high and low frequency differentiation data based on the number of decomposition layers of the frequency modulation command signal.

[0052] It should be noted that the adjusted data is obtained by adjusting the data in the frequency modulation command sequence. The component signal data is determined by the number of decomposition layers of the frequency modulation command signal and the high and low frequencies are determined by the number of decomposition layers. This is used to determine the response of the supercapacitor and battery.

[0053] Specifically, the frequency modulation command sequence is adjusted by the exponential function and the hyperbolic tangent function respectively to obtain the exponential adjustment sequence and the hyperbolic tangent adjustment sequence; Each data point in the exponentially adjusted sequence is specifically represented by the following formula:

[0054] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the exponentially adjusted sequence One data point, This represents an exponential function with the natural constant as its base.

[0055] The specific formula for each data point in the hyperbolic tangent adjustment sequence is as follows:

[0056] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first hyperbolic tangent adjustment sequence One data point, This represents the hyperbolic tangent function.

[0057] Thus, the exponentially adjusted sequence and the hyperbolic tangent adjusted sequence are obtained through the above methods.

[0058] Based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: A sequence of components; where the first... Each data point in each component sequence is specifically represented by the formula:

[0059] In the formula, Indicates the first in the frequency modulation command sequence One data point, This indicates the number of decomposition layers of the frequency modulation command signal. This represents the maximum value among all data in the exponentially adjusted sequence. This represents the minimum value among all data in the hyperbolic tangent adjusted sequence. Indicates the first In the nth component sequence One data point, express A function used for data normalization.

[0060] Among them, the Each data point in the component sequence is specifically represented by the following formula:

[0061] In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first In the nth component sequence One data point, This indicates the number of decomposition layers of the frequency modulation command signal. Indicates the first In the nth component sequence Data.

[0062] Thus, the above methods have yielded the results. A component sequence.

[0063] The high and low frequencies are divided according to the number of decomposition layers of the frequency modulation command signal. The specific formula for distinguishing high and low frequencies is as follows:

[0064] In the formula, This indicates the number of decomposition layers of the frequency modulation command signal. This represents an exponential function with the natural constant as its base. express Functions used for data normalization. This indicates that the first parameter is preset. This indicates that the second parameter is preset. Data indicating the distinction between high and low frequencies; Indicates to Round to the nearest integer.

[0065] In this embodiment, a first parameter is preset. Preset second parameter In this embodiment, a first parameter is preset. and preset second parameter No specific restrictions are imposed; implementers can decide based on the specific circumstances.

[0066] Thus, high- and low-frequency layered data are obtained through the above method.

[0067] Step S004: Distribute all component sequences to the supercapacitor and battery respectively for response by distinguishing between high and low frequency data.

[0068] Translate the first component sequence to the second component sequence. The first component sequence is assigned to the supercapacitor for response, and the second component sequence is assigned to the supercapacitor for response. The component sequence to the first Each component sequence is assigned to the battery in response.

[0069] like Figure 2 As shown, a second aspect of the present invention is to provide a hybrid energy storage grid-connected system based on acquisition error adjustment, comprising the following modules: Data acquisition module 101: used to acquire frequency modulation command signals; Decomposition Level Determination Module 102: This module divides the frequency modulation (FM) command signal to obtain an FM command sequence; it obtains a difference sequence and a ratio sequence based on the differences between adjacent data in the FM command sequence; it obtains a trend change factor based on the data distribution in the difference sequence; it obtains the fluctuation level based on the data distribution in the ratio sequence; and it determines the decomposition level of the FM command signal based on the trend change factor and the fluctuation level. ; High and low frequency differentiation module 103: used to adjust the frequency modulation command sequence using exponential and hyperbolic tangent functions respectively to obtain exponential adjustment sequences and hyperbolic tangent adjustment sequences; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, obtain... A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the data that distinguishes between high and low frequencies; Allocation response module 104: used to differentiate high and low frequency data Each component sequence is assigned to the supercapacitor and battery respectively for response.

[0070] A third aspect of the present invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a hybrid energy storage grid connection method based on acquisition error adjustment.

[0071] A fourth aspect of the present invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements a hybrid energy storage grid-connected method based on acquisition error adjustment.

[0072] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, etc.) containing computer-usable program code.

[0073] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, systems, and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the present invention.

Claims

1. A hybrid energy storage grid-connected method based on acquisition error adjustment, characterized in that, include: Obtain frequency regulation command signals from the dispatch center to mobilize the hybrid energy storage system to participate in frequency regulation; The hybrid energy storage system consists of supercapacitors and batteries; The frequency modulation command signal is divided to obtain the frequency modulation command sequence; the difference sequence and ratio sequence are obtained based on the differences between adjacent data in the frequency modulation command sequence; the trend change factor is obtained based on the data distribution in the difference sequence; and the fluctuation degree is obtained based on the data distribution in the ratio sequence. The number of decomposition levels of the frequency modulation command signal is obtained based on the trend change factor and the degree of fluctuation. ; The frequency modulation (FM) command sequence is adjusted using the exponential function and the hyperbolic tangent function, respectively, to obtain the exponential adjustment sequence and the hyperbolic tangent adjustment sequence. Based on the FM command sequence, the number of decomposition levels of the FM command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the data that distinguishes between high and low frequencies; By distinguishing between high and low frequency data Each component sequence is assigned to the supercapacitor and battery respectively for response.

2. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The step of dividing the frequency modulation command signal to obtain the frequency modulation command sequence includes: At a preset time interval The frequency modulation command signal is divided into several data points, and these data points are grouped into a sequence according to time order, which is called the frequency modulation command sequence.

3. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The process of obtaining a difference sequence and a ratio sequence based on the differences between adjacent data in the frequency modulation command sequence, obtaining a trend change factor based on the data distribution in the difference sequence, and obtaining the degree of fluctuation based on the data distribution in the ratio sequence includes: In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the frequency modulation command sequence One data point, Represents the first value in the difference sequence. One data point; In the formula, Represents the first value in the ratio sequence. One data point; The number of pairs of adjacent data with opposite signs in the difference sequence is recorded as the trend change factor. In the formula, This represents the maximum value among all data points in the ratio sequence. This represents the minimum value among all data in the ratio sequence. Indicates the degree of fluctuation.

4. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The number of decomposition layers of the frequency modulation command signal is obtained based on the trend change factor and the degree of fluctuation. ,include: In the formula, This represents an exponential function with the natural constant as its base. Represents the hyperbolic tangent function. Indicates the degree of fluctuation. Indicates the trend change factor. This indicates the number of decomposition layers of the frequency modulation command signal. Indicates to Round to the nearest integer.

5. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The frequency modulation command sequence is adjusted using exponential and hyperbolic tangent functions respectively to obtain exponential adjustment sequences and hyperbolic tangent adjustment sequences; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, the following is obtained: The component sequence includes: In the formula, Indicates the first in the frequency modulation command sequence One data point, Indicates the first in the exponentially adjusted sequence One data point, Represents an exponential function with the natural constant as its base; In the formula, Indicates the first hyperbolic tangent adjustment sequence. One data point, Represents the hyperbolic tangent function; Among them, the former Each data point in each component sequence is specifically represented by the formula: In the formula, This indicates the number of decomposition layers of the frequency modulation command signal. This represents the maximum value among all data in the exponentially adjusted sequence. This represents the minimum value among all data in the hyperbolic tangent adjusted sequence. Indicates the first In the nth component sequence One data point, express Functions used for data normalization; Among them, the Each data point in the component sequence is specifically represented by the following formula: In the formula, Indicates the first In the nth component sequence Data points.

6. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The number of decomposition layers based on the frequency modulation command signal The data for distinguishing between high and low frequencies were determined, including: In the formula, This indicates the number of decomposition layers of the frequency modulation command signal. This represents an exponential function with the natural constant as its base. express Functions used for data normalization. This indicates that the first parameter is preset. This indicates that the second parameter is preset. Data indicating the distinction between high and low frequencies; Indicates to Round to the nearest integer.

7. The hybrid energy storage grid connection method based on acquisition error adjustment according to claim 1, characterized in that, The method of distinguishing between high and low frequency data will Each component sequence is assigned to the supercapacitor and battery for a response, including: Translate the first component sequence to the second... The first component sequence is assigned to the supercapacitor for response, and the second component sequence is assigned to the supercapacitor for response. The component sequence to the first Each component sequence is assigned to the battery in response.

8. A hybrid energy storage grid-connected system based on acquisition error adjustment, characterized in that, include: Data acquisition module: used to acquire frequency modulation command signals; Decomposition layer determination module: used to divide the frequency modulation command signal to obtain the frequency modulation command sequence; The difference sequence and ratio sequence are obtained based on the differences between adjacent data in the frequency modulation command sequence. The trend change factor is obtained based on the data distribution in the difference sequence, and the fluctuation degree is obtained based on the data distribution in the ratio sequence. The number of decomposition levels of the frequency modulation command signal is obtained based on the trend change factor and the degree of fluctuation. ; High and low frequency differentiation module: Used to adjust the frequency modulation command sequence using exponential and hyperbolic tangent functions respectively, to obtain exponential adjustment sequences and hyperbolic tangent adjustment sequences; based on the frequency modulation command sequence, the number of decomposition levels of the frequency modulation command signal, the exponential adjustment sequence, and the hyperbolic tangent adjustment sequence, obtain... A component sequence; based on the number of decomposition layers of the frequency modulation command signal. Determine the data that distinguishes between high and low frequencies; Allocation response module: used to differentiate data by high and low frequency. Each component sequence is assigned to the supercapacitor and battery respectively for response.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the hybrid energy storage grid connection method based on acquisition error adjustment as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the hybrid energy storage grid connection method based on acquisition error adjustment as described in any one of claims 1-7.

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