Flywheel lithium battery hybrid energy storage capacity configuration method and system

Abstract

The application relates to a flywheel lithium battery hybrid energy storage capacity configuration method and system. After automatic generation control frequency modulation instruction data and unit output data are acquired, a deviation sequence is determined based on the automatic generation control frequency modulation instruction data and the unit output data; then, after IMF components are obtained by performing empirical mode decomposition on the deviation sequence, the IMF components are reconstructed to obtain a reconstructed signal; then, flywheel lithium battery hybrid energy storage capacity configuration is completed based on the reconstructed signal, so that the ability of unit frequency modulation response can be improved as much as possible on the premise of meeting the multiple performance requirements of a power system, and the unit can obtain a higher K p value on the basis of meeting frequency modulation examination.

Description

Technical Field

[0001] This invention relates to the field of flywheel lithium battery hybrid energy storage capacity configuration, and in particular to a method and system for configuring flywheel lithium battery hybrid energy storage capacity to assist AGC frequency regulation of thermal power units. Background Technology

[0002] With the large-scale integration of wind power into the grid, the volatility of active power output from wind power will severely impact the stability of the power system and power quality. Against this backdrop, maintaining grid frequency stability under conditions of large-scale interconnected power systems and high voluntary grid penetration of wind power has become a major challenge for China's power system. Energy storage participating in grid frequency regulation will be an important way to solve this problem.

[0003] Energy storage systems can convert electrical energy into other forms of energy and flexibly, quickly, and accurately regulate the power supply and demand balance of the system, improving the stability of the power system. Studies show that chemical battery energy storage systems can complete the scheduling of Automatic Generation Control (AGC) commands within 1 second, while the time taken for thermal power units to complete the same command is almost 60 times longer. The integration of large-scale energy storage systems can significantly reduce the regulation load on thermal power units. Furthermore, the fast response speed, strong short-term throughput capacity, and ease of changing the regulation direction of energy storage systems can compensate for the lack of secondary frequency regulation capabilities of thermal power units. Modern power grids have complex and diverse energy and power demands, and a single type of energy storage technology often cannot meet these requirements. Although combining two or more energy storage technologies can leverage their respective strengths and greatly expand the application scenarios of energy storage systems, further rational planning of the capacity configuration of different energy storage systems is still needed when using multiple energy storage technologies in grid frequency regulation. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for configuring the hybrid energy storage capacity of flywheel lithium batteries to assist AGC frequency regulation of thermal power units. This method can maximize the frequency regulation response capability of the unit while meeting the multiple performance requirements of the power system, enabling the unit to achieve higher K-values ​​while meeting frequency regulation assessment requirements. p value.

[0005] To achieve the above objectives, the present invention provides the following solution:

[0006] A method for configuring hybrid energy storage capacity using flywheel lithium batteries includes:

[0007] Acquire automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and the unit output data;

[0008] Empirical mode decomposition (EMD) is performed on the deviation sequence to obtain IMF components;

[0009] The reconstructed signal is obtained by reconstructing the IMF components;

[0010] The flywheel lithium battery hybrid energy storage capacity configuration is completed based on the reconstructed signal.

[0011] Preferably, the step of performing empirical mode decomposition on the deviation sequence to obtain IMF components specifically includes:

[0012] Determine the maximum and minimum extreme points in the deviation sequence;

[0013] The upper and lower envelopes are determined using cubic spline functions based on the maximum and minimum extreme points.

[0014] The envelope average line is determined based on the upper envelope and the lower envelope;

[0015] The average class distance is determined based on the deviation sequence and the envelope mean line;

[0016] Determine whether the average distance of the class range satisfies the conditions for the IMF to be valid;

[0017] If the average class distance satisfies the IMF condition, then the average class distance is used as the first layer intrinsic mode function, and the first IMF component is obtained from the deviation sequence based on the first layer intrinsic mode function; the deviation sequence from which the first IMF component is decomposed is used as the decomposition sequence.

[0018] The decomposed sequence is used as a new deviation sequence, and the process of "determining the maximum and minimum extreme points in the deviation sequence" is repeated until the termination condition is obtained.

[0019] If the average class distance does not meet the conditions for the IMF to be established, then the average class distance is taken as a new deviation sequence, and the process of "determining the maximum and minimum extreme points in the deviation sequence" is returned until the average class distance meets the conditions for the IMF to be established.

[0020] Preferably, the termination condition is:

[0021] The decomposed sequence or the first IMF component is less than a given value;

[0022] Alternatively, the decomposed sequence may be a monotonic function.

[0023] Preferably, the conditions for the establishment of the IMF include:

[0024] In the average distance of the class range, the number of time series points crossing zero and the number of extreme points are equal or differ by one.

[0025] The upper envelope fitted by the point corresponding to the maximum extreme point and the lower envelope fitted by the point corresponding to the minimum extreme point have the same mean of zero.

[0026] Preferably, the reconstructing of the IMF components to obtain the reconstructed signal includes:

[0027] Grey relational analysis is used to determine the relationships between the IMF components, and the decomposed IMF components are used to reconstruct the reconstructed signal.

[0028] Preferably, the step of configuring the flywheel lithium battery hybrid energy storage capacity based on the reconstructed signal specifically includes:

[0029] A reconfigured signal is used as the initial power command for the unit to participate in the secondary frequency regulation of the automatic generation control command; wherein, the flywheel system is used to absorb the high-frequency part of the reconfigured signal, and the lithium battery is used to absorb the low-frequency part of the reconfigured signal in coordination with the low-frequency disturbance in the unit output.

[0030] The reconfiguration signals other than this one are used as margin signals to serve as the adjustment signals for the thermal power unit itself.

[0031] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0032] The flywheel-lithium battery hybrid energy storage capacity configuration method provided by this invention, after acquiring automatic generation control frequency regulation command data and unit output data, determines a deviation sequence based on the automatic generation control frequency regulation command data and unit output data; then, after performing empirical mode decomposition on the deviation sequence to obtain IMF components, the IMF components are reconstructed to obtain a reconstructed signal; finally, the flywheel-lithium battery hybrid energy storage capacity configuration is completed based on the reconstructed signal, so as to maximize the unit's frequency regulation response capability while meeting the multiple performance requirements of the power system, enabling the unit to achieve a higher K-value while meeting the frequency regulation assessment. p value.

[0033] Furthermore, the present invention also provides a flywheel lithium battery hybrid energy storage capacity configuration system, the system comprising:

[0034] The data acquisition unit is used to collect automatic generation control frequency regulation command data and unit output data;

[0035] A memory, connected to the data acquisition unit, is used to store automatic power generation control frequency regulation command data, unit output data, and logic control commands; the logic control commands are used to implement the flywheel lithium battery hybrid energy storage capacity configuration method provided above.

[0036] A processor, connected to the data acquisition unit, is used to retrieve and execute the logic control instructions.

[0037] Preferably, the processor includes:

[0038] The deviation sequence determination module is used to acquire automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and the unit output data;

[0039] The IMF component decomposition module is used to perform empirical mode decomposition on the deviation sequence to obtain IMF components;

[0040] The signal reconstruction module is used to reconstruct the IMF components to obtain a reconstructed signal;

[0041] The energy storage capacity configuration module is used to configure the hybrid energy storage capacity of the flywheel lithium battery based on the reconfiguration signal.

[0042] Since the technical effects achieved by the flywheel lithium battery hybrid energy storage capacity configuration system provided by this invention are the same as those achieved by the flywheel lithium battery hybrid energy storage capacity configuration method provided above, they will not be described again here. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments 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.

[0044] Figure 1 A flowchart illustrating the method for configuring hybrid energy storage capacity of flywheel lithium batteries provided by the present invention;

[0045] Figure 2 is a schematic diagram of the results of 10 IMF components and residual difference obtained by MATLAB decomposition according to the embodiment of the present invention; wherein, Figure 2(a) is a schematic diagram of the results of 1 to 5 IMF components and residual difference obtained by MATLAB decomposition, and Figure 2(b) is a schematic diagram of the results of 6 to 10 IMF components and residual difference obtained by MATLAB decomposition.

[0046] Figure 3 A diagram of AGC1 instruction reconstruction provided in an embodiment of the present invention;

[0047] Figure 4 A diagram of AGC2 instruction reconstruction provided in an embodiment of the present invention;

[0048] Figure 5 This is a diagram illustrating the working mode of an energy storage system provided in an embodiment of the present invention.

[0049] Figure 6 This is a schematic diagram of the structure of the flywheel lithium battery hybrid energy storage capacity configuration device provided by the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0051] The purpose of this invention is to provide a method and system for configuring the hybrid energy storage capacity of flywheel lithium batteries to assist AGC frequency regulation of thermal power units. This method can maximize the frequency regulation response capability of the unit while meeting the multiple performance requirements of the power system, enabling the unit to achieve higher K-values ​​while meeting frequency regulation assessment requirements. p value.

[0052] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0053] This invention provides a method for configuring the hybrid energy storage capacity of flywheel lithium batteries, such as... Figure 1 As shown, the method includes:

[0054] Step 100: Obtain the automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and unit output data. For example, after obtaining the AGC frequency regulation command dataset PAGC(t) and the actual unit output data Pact(t), the difference between the AGC frequency regulation command dataset PAGC(t) and the actual unit output data Pact(t) is used to generate the deviation sequence X(t), that is, X(t) = PAGC(t) - Pact(t), where t is time.

[0055] Step 101: Perform Empirical Mode Decomposition (EMD) on the deviation sequence to obtain the IMF components. The implementation process of this step may include:

[0056] Step 101-0: Determine all maximum and minimum extreme points of the deviation sequence X(t), and use cubic spline functions for interpolation to obtain the upper envelope e. max (t) and lower envelope e min (t), find the upper envelope e max (t) and lower envelope e min The envelope mean curve m1(t) is obtained by taking the average value of (t).

[0057] Step 101-1: Subtract the envelope mean curve m1(t) from the deviation sequence X(t) to obtain the class average distance c1(t):

[0058] c1(t) = X(t) - m1(t).

[0059] Step 101-2: Determine whether the average class distance c1(t) satisfies the two conditions for the IMF to hold: 1) The number of zero-crossing time series points and the number of extreme points (maximum points and minimum points) in the entire signal are equal or differ by at most 1. 2) The mean of the upper envelope fitted by the maximum extreme point and the lower envelope fitted by the minimum extreme point is zero. If not satisfied, treat c1(t) as a new deviation sequence X(t), and repeat steps 101-0 and 101-1 until c1(t) satisfies the conditions for the IMF to hold. Then, treat c1(t) as the first layer of intrinsic mode functions (IMF) h1 decomposed from the IMF.

[0060] Step 101-3: The IMF component separated from the deviation sequence X(t) is h1(t):

[0061] r1(t) = X(t) - h1(t), where r1(t) is the sequence after separating the IMF component h1(t) from the bias sequence X(t).

[0062] Step 101-4: Substitute the sequence r1(t) as the new bias sequence into steps 101-0 to 101-3 to decompose and obtain the new IMF components, i.e.:

[0063] r2(t) = r1(t) - h2(t), ..., r n (t)=r n-1 (t)-h n (t), where n is the number of decompositions.

[0064] Step 101-5: The decomposition process can end when one of the following conditions is met:

[0065] ①r n (t) or h n (t) is less than the given value.

[0066] ②r n (t) is a monotonic function, and IMF components cannot be decomposed from it.

[0067] The final decomposition yields the IMF component expressions as follows:

[0068] The ten IMF components and their residuals obtained by decomposition using MATLAB are shown in Figure 2(a) and Figure 2(b).

[0069] Step 102: Reconstruct the IMF components to obtain the reconstructed signal. This step can be implemented as follows:

[0070] Step 102-0: Obtained through step 101 Then, u intrinsic mode functions (IMFg) are further obtained after partitioning, where g = 1, 2, ..., u, and IMF1 to IMFu include all components from high frequency to low frequency in the original information.

[0071] Step 102-1: IMF component reconstruction. The high hysteresis of the thermal power unit itself allows it to effectively complete the scheduling of low-signal commands after responding to AGC commands. The reconstruction of the low-frequency IMFFu by the high-frequency signal IMF1 is denoted as AGCGg.

[0072]

[0073] Step 102-2: Determine the boundary frequency. For example, if the sampling time interval is 20 seconds, the AGCG signal that meets the unit ramp-up rate limit can be directly selected from the decomposed spectrum to determine the boundary frequency. Grey relational analysis is used to determine the relationship between each IMF component, and the decomposed IMF components are reconstructed to obtain a new dataset in the high, medium, and low frequency bands. The new dataset includes multiple reconstructed signals.

[0074] Step 103: Complete the configuration of the flywheel lithium battery hybrid energy storage capacity based on the reconfiguration signal.

[0075] For example, the reconstructed signal AGCGg-1 in the new dataset is selected as the initial power command for the unit to participate in the secondary frequency regulation of the Automatic Generation Control (AGC) command. The margin signal AGCP can be obtained by removing AGCGg-1 from the AGC signal. This method can ensure that the output of the energy storage system and the output of the unit are coordinated to complete the AGC command regulation.

[0076] As can be seen from the IMF components, AGCG8 contains a load variation rate of over 20 MW / min. Therefore, subtracting AGCG8 from the AGC signal yields the AGCP signal. The remaining signal AGCP and the decomposed residual are then fed into the thermal power unit itself to regulate its response. AGCG8 is further demarcated based on the characteristics of the flywheel and lithium-ion battery to determine the unit's hybrid energy storage capacity configuration. High-frequency signals are fed to flywheel energy storage, while mid-to-low-frequency signals are fed to lithium-ion battery energy storage. Thus, AGCG8 is divided into two frequency bands:

[0077] AGC1 = IMF1 + IMF2 + IMF3

[0078] AGC2=IMF4+IMF5+IMF6+IMF7+IMF8

[0079] In the formula, AGC1 is the first frequency band in AGCG8, and AGC2 is the second frequency band in AGCG8. The command reconstruction results for these two frequency bands are as follows: Figure 3 and Figure 4 As shown.

[0080] To further improve the unit's frequency regulation response capability, enabling the unit to achieve higher K values ​​while meeting frequency regulation requirements. p Furthermore, this invention also defines constraints on the energy storage system. Here, the operating mode of the hybrid energy storage system is as follows: Figure 5 As shown, but not limited to this in practical applications.

[0081] In this hybrid energy storage system, based on the characteristics of the energy storage components, the flywheel system is selected to absorb the high-frequency part of the reconfiguration command, while the lithium battery, as an energy-type component, works in conjunction with the generator to output low-frequency disturbances.

[0082] The inherent constraints and frequency regulation performance indicators of the energy storage system are as follows:

[0083] 1) SOC constraint of Hybrid Energy Storage System (HESS)

[0084] To ensure that the hybrid energy storage system always operates under its rated conditions, the State of Charge (SOC) of the hybrid energy storage system is hereby defined. HESS as follows:

[0085] In the formula, SOC 1i For lithium batteries, the state of charge (C) 1i For lithium battery capacity, SOC f For the flywheel system's state of charge, C f This refers to the flywheel system capacity.

[0086] At any given time, the SOC value of the energy storage system should be as close as possible to 0.5.

[0087] 2) Consider K p Frequency modulation index as a parameter

[0088] Currently, the market generally adopts the K-line method. p The performance of the generating unit's frequency regulation is evaluated using indicators, including three parts: regulation speed indicator K1, regulation accuracy indicator K2, and response time K3. p The larger the value, the more obvious the adjustment effect.

[0089] in,

[0090]

[0091]

[0092]

[0093]

[0094] Therefore, it can be calculated that...

[0095] In the formula, V is the average adjustment speed of the unit in response to AGC commands, V n P is the standard regulation rate of the unit. si P is the initial power of the unit when it receives the AGC command. ei T is the power output when the unit reaches the AGC command. si T is the time when the unit receives the i-th AGC command. ei ΔP is the time when the unit reaches the power regulation end of the AGC command, and ΔP is the total deviation between the unit and the target value after reaching the target power during the AGC service period. n ΔP is the rated capacity of the unit. n This refers to the total deviation between the unit's rated capacity and the target power achieved during AGC service. Let i be the time to reach the target power after receiving the i-th AGC command. P is the time to receive the (i+1)th AGC instruction. E (t) represents the instantaneous output value of the unit at time t, P A (t) represents the target power value of AGC, and ΔT i Let T be the response time after receiving the i-th AGC command. n This is the baseline value for response time.

[0096] 3) Energy storage model lifetime model and dynamic actual available capacity

[0097] The lifespan of an energy storage battery can be characterized by its service life and cycle count. Theoretically, a flywheel system has a service life of 20 years and 100,000 cycles. A lithium-ion battery has a service life of 5 years and 10,000 cycles. The lifespan of an energy storage battery is affected by its depth of discharge; the greater the depth of discharge, the fewer the number of cycles. The total cycle count (T) of a lithium-ion battery over its entire lifespan is... life-li The relationship with the depth of discharge (DOD) is as follows:

[0098] T li =1132×DOD -1.926

[0099] T fly =10 8 ×(-0.546DOD 3 +1.0838DOD 2 -0.6413DOD + 0.1166)

[0100] Y = T / L

[0101] Y = T / L.

[0102] In the formula, T liT represents the number of cycles throughout the total lifespan of a lithium-ion battery. fly L represents the total number of cycles over the flywheel's entire lifespan, and L represents the number of cycles per year. Y represents the actual service life of the energy storage battery, which is equal to the ratio of the total number of cycles over its entire lifespan to the number of cycles per year. T represents the total number of cycles over its entire lifespan.

[0103] When the energy storage battery is a flywheel, the attenuation coefficient α is 0; for energy-type lithium-ion batteries, the attenuation coefficient α is 3.1%; and for power-type batteries, it is 8.4%.

[0104] E(t)=E0×(1-αβ)

[0105] E set =E n ×(1-αβ)

[0106] β = 0.5

[0107] In the formula, E set The initial capacity is E(t), and the dynamic actual available capacity of the energy storage system is E(t). n E0 represents the actual required capacity of the energy storage system, while E0 represents the initial dynamically set capacity.

[0108] Based on the aforementioned signal decomposition and reconstruction, the capacity of the hybrid energy storage system is configured. Through steps 100-103, the frequency regulation command is decomposed and reconstructed into high-frequency and low-frequency components. The high-frequency component is then processed by the flywheel system, while the mid- and low-frequency components are absorbed by the lithium battery system. Next, by setting constraints, the power plant can be assisted in selecting suitable flywheel and battery models for system configuration. The system absorbs fluctuations from AGC commands and, under the condition of meeting the assessment criteria, quickly assists the generator unit in adjusting its output to achieve the effect of tracking the command.

[0109] Furthermore, this invention also provides a flywheel lithium battery hybrid energy storage capacity configuration system, such as... Figure 6 As shown, the system includes:

[0110] Data acquisition unit 1 is used to collect automatic power generation control frequency regulation command data and unit output data.

[0111] Memory 2, connected to the data acquisition unit, is used to store automatic generation control frequency regulation command data, unit output data, and logic control commands. The logic control commands are used to implement the flywheel lithium battery hybrid energy storage capacity configuration method provided above.

[0112] Processor 3, connected to the data acquisition unit, is used to retrieve and execute logic control instructions.

[0113] Furthermore, the processor used in this invention may include:

[0114] The deviation sequence determination module is used to acquire automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and unit output data.

[0115] The IMF component decomposition module is used to perform empirical mode decomposition on the deviation sequence to obtain IMF components.

[0116] The signal reconstruction module is used to reconstruct the IMF components to obtain the reconstructed signal.

[0117] The energy storage capacity configuration module is used to configure the hybrid energy storage capacity of flywheel lithium batteries based on the reconfiguration signal.

[0118] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0119] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method for configuring the hybrid energy storage capacity of a flywheel lithium battery, characterized in that, include: Acquire automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and the unit output data; Empirical Mode Decomposition (EMD) is performed on the deviation sequence to obtain IMF components, including: determining the maximum and minimum extreme points in the deviation sequence; determining the upper and lower envelopes using cubic spline functions based on the maximum and minimum extreme points; determining the envelope mean based on the upper and lower envelopes; determining the class average distance based on the deviation sequence and the envelope mean; determining whether the class average distance satisfies the IMF conditions; if the class average distance satisfies the IMF conditions, then the class average distance is used as the first-layer intrinsic mode function. The first IMF component is obtained from the deviation sequence based on the first layer intrinsic mode function; the deviation sequence from which the first IMF component is decomposed is used as the decomposition sequence; the decomposition sequence is used as the new deviation sequence, and the process returns to "determine the maximum and minimum extreme points in the deviation sequence" until a termination condition is obtained; if the average class distance does not meet the IMF condition, the average class distance is used as the new deviation sequence, and the process returns to "determine the maximum and minimum extreme points in the deviation sequence" until the average class distance meets the IMF condition. The reconstructed signal is obtained by reconstructing the IMF components; The configuration of the flywheel-lithium battery hybrid energy storage capacity based on the reconfigured signal includes: using one reconfigured signal as the initial power command for the unit to participate in the secondary frequency regulation of the automatic power generation control command; using the reconfigured signals other than this one reconfigured signal as margin signals to serve as the adjustment signals for the thermal power unit itself; wherein, the flywheel system is used to absorb the high-frequency part of the reconfigured signal, and the lithium battery is used to cooperate with the low-frequency disturbance in the unit output to absorb the low-frequency part of the reconfigured signal.

2. The method for configuring the hybrid energy storage capacity of a flywheel lithium battery according to claim 1, characterized in that, The termination condition is: The decomposed sequence or the first IMF component is less than a given value; Alternatively, the decomposed sequence may be a monotonic function.

3. The method for configuring the hybrid energy storage capacity of a flywheel lithium battery according to claim 1, characterized in that, The conditions for the establishment of the IMF include: In the average distance of the class range, the number of time series points crossing zero and the number of extreme points are equal or differ by one. The upper envelope fitted by the point corresponding to the maximum extreme point and the lower envelope fitted by the point corresponding to the minimum extreme point have the same mean of zero.

4. The method for configuring the hybrid energy storage capacity of a flywheel lithium battery according to claim 1, characterized in that, The process of reconstructing the IMF components to obtain the reconstructed signal includes: Grey relational analysis is used to determine the relationships between the IMF components, and the decomposed IMF components are used to reconstruct the reconstructed signal.

5. A flywheel lithium battery hybrid energy storage capacity configuration system, characterized in that, include: The data acquisition unit is used to collect automatic generation control frequency regulation command data and unit output data; A memory, connected to the data acquisition unit, is used to store automatic power generation control frequency regulation command data, unit output data, and logic control commands; the logic control commands are used to implement the flywheel lithium battery hybrid energy storage capacity configuration method as described in any one of claims 1-4. A processor, connected to the data acquisition unit, is used to retrieve and execute the logic control instructions.

6. The flywheel lithium battery hybrid energy storage capacity configuration system according to claim 5, characterized in that, The processor includes: The deviation sequence determination module is used to acquire automatic generation control frequency regulation command data and unit output data, and determine the deviation sequence based on the automatic generation control frequency regulation command data and the unit output data; The IMF component decomposition module is used to perform empirical mode decomposition on the deviation sequence to obtain IMF components; The signal reconstruction module is used to reconstruct the IMF components to obtain a reconstructed signal; The energy storage capacity configuration module is used to configure the hybrid energy storage capacity of the flywheel lithium battery based on the reconfiguration signal.

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