Hybrid energy storage system power configuration method, system, device and medium

Abstract

The invention discloses a hybrid energy storage system power configuration method, system and device and a medium, and the method comprises the steps: constructing a target function reflecting hybrid energy storage efficiency according to an obtained main network carbon potential curve and an electric power market efficiency signal; based on the objective function, obtaining a charge state curve of the hybrid energy storage equipment under a preset condition; calculating the discharge depth of the hybrid energy storage system according to the charge state curve; according to the discharge depth and the charge state curve, constructing a configuration model of energy storage efficiency loss related to the discharge depth; and solving the configuration model based on an equal discharge depth loss incremental rate criterion to obtain a configuration result of each energy storage discharge depth so as to configure the power of the hybrid energy storage system. Therefore, the energy utilization efficiency and the overall performance of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy technologies, and in particular to a hybrid energy storage system power configuration method, system, equipment and medium. Background Art

[0002] The goals of carbon peak and carbon neutrality have put forward higher requirements for the development of the power industry. The need for carbon flow tracking and flexible carbon reduction resources in all links of source, grid, load and storage is becoming more and more urgent. Energy storage is an important technology and basic equipment for building a new power system, and an important support for achieving the goals of "carbon peak and carbon neutrality". New energy storage reduces carbon emissions and promotes green and low-carbon energy transformation by reducing fossil fuel consumption, balancing grid load, and improving the efficiency of new energy.

[0003] However, the traditional power configuration strategy of hybrid energy storage systems lacks precision and does not fully consider the impact of electricity market efficiency, which results in the inability to optimally configure the relevant parameter characteristics of the energy storage equipment, thereby affecting the overall efficiency and service life of the hybrid energy storage system.

[0004] It can be seen that how to effectively configure the power of the hybrid energy storage system has become a technical problem that needs to be urgently solved by those skilled in the art. Summary of the invention

[0005] The present invention provides a hybrid energy storage system power configuration method, system, device and medium to solve how to flexibly configure the power of the hybrid energy storage system to meet the needs of different application scenarios and improve energy utilization efficiency and the overall performance of the system.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a hybrid energy storage system power configuration method, including:

[0007] According to the main grid carbon potential curve and power market efficiency signal, an objective function reflecting the efficiency of hybrid energy storage is constructed;

[0008] Based on the objective function, obtaining a state of charge curve of the hybrid energy storage device under preset conditions;

[0009] Calculating the discharge depth of the hybrid energy storage system according to the state of charge curve;

[0010] Constructing a configuration model related to energy storage efficiency loss and the discharge depth according to the discharge depth and the state of charge curve;

[0011] The configuration model is solved based on the equal discharge depth loss slight increase rate criterion to obtain the configuration results of each energy storage discharge depth, so as to further configure the power of the hybrid energy storage system.

[0012] Furthermore, the construction of the objective function reflecting the hybrid energy storage efficiency includes:

[0013] According to the main grid carbon potential curve and wind and solar output curve, obtain daily average carbon emission data and grid loss data of the hybrid energy storage system;

[0014] According to the power market efficiency signal, obtaining daily average decommissioning recovery efficiency data of the hybrid energy storage system;

[0015] The objective function is constructed based on the carbon emission data, the network loss data and the decommissioning recovery efficiency data.

[0016] Furthermore, the constraints of the objective function include:

[0017] The charge constraint in the constraint condition is:

[0018] SoC min ≤SoC t ≤SoC max

[0019] SoC (24) =SoC (1)

[0020] The ES charge and discharge constraints in the constraints are:

[0021]

[0022] Among them, SoC min is the minimum value of SoC; SoC max is the maximum value of SoC; The lower limit of charging power for hybrid energy storage system; Upper limit on charging power of hybrid energy storage systems; is the lower limit of the discharge power of the hybrid energy storage system; is the upper limit of the discharge power of the hybrid energy storage system; is the discharge power of energy storage system i in period t, A is the charging power of energy storage system i in period t; E is a binary variable.

[0023] Further, the calculating the discharge depth of the hybrid energy storage system according to the state of charge curve includes:

[0024] The state of charge curve is analyzed and calculated by the rain flow counting method to obtain the discharge depth aggregate data of the hybrid energy storage system.

[0025] Furthermore, the construction process of the configuration model includes:

[0026] Analyzing the relationship between the cycle life and the efficiency loss of the hybrid energy storage device to obtain a first analysis result;

[0027] Analyzing and calculating the relationship between the discharge depth and the cycle life to obtain a second analysis result;

[0028] The configuration model is constructed based on the first analysis result and the second analysis result.

[0029] Furthermore, the configuration model is:

[0030] C a =k1′D a 2 +k2′D a +k3′

[0031] Among them, D a is the discharge depth of the energy storage in stage a, k ′ 1,k ′ 2,k ′ 3 is the converted function parameter, C a is the corresponding loss.

[0032] Furthermore, after obtaining the configuration results of each energy storage discharge depth, the method further includes:

[0033] According to the configuration result, obtaining the charge and discharge curve of each energy storage;

[0034] Analyze the parameter changes of each energy storage device in the hybrid energy storage system during the charging and discharging process according to the charging and discharging curve;

[0035] According to the analysis results, formulate corresponding charging and discharging strategies.

[0036] Another embodiment of the present invention provides a hybrid energy storage system power configuration system, including:

[0037] An objective function construction module is used to construct an objective function reflecting the efficiency of hybrid energy storage based on the acquired main grid carbon potential curve and power market efficiency signal;

[0038] A curve acquisition module, used to acquire a state of charge curve of the hybrid energy storage device under preset conditions based on the objective function;

[0039] A discharge depth calculation module, used to calculate the discharge depth of the hybrid energy storage system according to the state of charge curve;

[0040] A configuration model building module, used to build a configuration model related to energy storage efficiency loss and the discharge depth according to the discharge depth and the state of charge curve;

[0041] The configuration module is used to solve the configuration model based on the equal discharge depth loss slight increase rate criterion to obtain the configuration results of each energy storage discharge depth, so as to further configure the power of the hybrid energy storage system.

[0042] Another embodiment of the present invention provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the hybrid energy storage system power configuration method as described above when executing the computer program.

[0043] Yet another embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the hybrid energy storage system power configuration method as described above is implemented.

[0044] Compared with the prior art, the embodiments of the present invention have the following advantages:

[0045] The present invention converts the continuous SoC change curve into discrete half-cycle and full-cycle data by using the rain flow algorithm, constructs a relationship between the discharge depth and the cycle life, reduces the life loss, and formulates a reasonable configuration strategy; and the equal discharge depth loss micro-increase rate method makes the allocation result more in line with the characteristics of the energy storage itself, thereby improving the overall efficiency of the hybrid energy storage system and enabling it to better meet the needs of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of a hybrid energy storage system power configuration method in one embodiment of the present invention;

[0047] Figure 2 It is a schematic diagram of a rain flow counting method in one embodiment of the present invention;

[0048] Figure 3 It is a schematic diagram of the power configuration system structure of a hybrid energy storage system in one embodiment of the present invention;

[0049] Figure 4 It is a structural block diagram of a preferred embodiment of a computer device provided by the present invention. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] In the description of this application, the terms "first", "second", "third", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", "third", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0052] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. The terms "vertical", "horizontal", "left", "right", "upper", "lower" and similar expressions used in this article are only for illustrative purposes, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used in this article includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0053] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as those commonly understood by those skilled in the art. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0054] An embodiment of the present invention provides a hybrid energy storage system power configuration method. For details, see Figure 1 , Figure 1 The figure shows a flow chart of a hybrid energy storage system power configuration method in one embodiment of the present invention, which includes the following steps:

[0055] S1. Based on the main grid carbon potential curve and power market efficiency signal, an objective function reflecting the efficiency of hybrid energy storage is constructed.

[0056] It is understandable that the main grid carbon potential curve reflects the trend and changes of carbon emissions in the power system. The power market efficiency signal reflects the operating efficiency and market demand of the power system. In the power market, parameters such as power and load are important indicators reflecting the efficiency of the power system. By obtaining information on these parameters, the power market efficiency signal can be constructed, providing an important reference for the power configuration of the hybrid energy storage system.

[0057] Based on this, this embodiment constructs an objective function to fully reflect the effectiveness of the hybrid energy storage system. Specifically,

[0058] According to the main grid carbon potential curve and the wind and solar output curve, the daily average carbon emission data and network loss data of the hybrid energy storage system are obtained. In some embodiments of the present invention, the main grid carbon potential curve can be integrated (or accumulated) over time to obtain the total carbon emissions in the entire time period (e.g., one day). Combined with the wind and solar output curve, the carbon emissions reduced due to the output of renewable energy, that is, the reduction in carbon emission losses, can be calculated, thereby obtaining the daily average carbon emission loss data of the hybrid energy storage system.

[0059] According to the power market efficiency signal, the daily average decommissioning recovery efficiency data of the hybrid energy storage system is obtained, and based on the carbon emission data, the network loss data and the decommissioning recovery efficiency data, the objective function is constructed.

[0060] It is understandable that since the power market efficiency signal contains information about the performance and life of power equipment, this information can indirectly reflect the decommissioning recovery efficiency of the equipment. In addition, the average daily investment loss and peak-valley arbitrage efficiency of a hybrid energy storage system over its entire life cycle can be obtained, and based on these index factors, a comprehensive objective function of the hybrid energy storage system is constructed. Specifically, the construction process of the objective function is expressed as follows:

[0061] The carbon emission loss is:

[0062]

[0063] According to the power flow calculation results, the network loss within one day can be obtained as follows:

[0064]

[0065] The average daily investment loss of a hybrid energy storage system over its entire life cycle is:

[0066]

[0067] The peak-valley arbitrage efficiency of the hybrid energy storage system within a day is:

[0068]

[0069] The expression of daily average retirement recovery efficiency of hybrid energy storage is:

[0070]

[0071] The comprehensive objective function can be obtained by adding:

[0072] max F=F4+F5-F1-F2-F3

[0073] Where, T = 24; is the carbon dioxide emission loss; P G,m,t Supply power to the main grid during period t; e m,t is the main grid carbon potential in period t; Δt is the duration of the scheduling cycle, Δt = 1h. e,t is the power efficiency during the typical day t period, r ij is the resistance of branch ij. γ is the discount rate; y ess is the life of the energy storage device; E ess,i and P ess,i are the rated capacity and rated power of the i-th energy storage device respectively; S ess C is the installation location collection of energy storage; e and C p are the investment costs per unit capacity and per unit power of energy storage respectively; is the discharge power of energy storage system i in period t, is the charging power of energy storage system i in period t, n is the number of clusters divided into distribution networks; μ is the retirement recovery coefficient of energy storage.

[0074] It can be understood that the state of charge (SOC) is a measure of the remaining capacity of the energy storage system, which reflects the energy storage level of the energy storage system at a certain moment. At the same time, the charging and discharging process of the energy storage system is constrained by many factors, including charging and discharging power, charging and discharging efficiency, charging and discharging time, etc. Based on this, in this embodiment, the constraints of the objective function are constructed with the state of charge (SOC) constraint and the ES charging and discharging constraint. Specifically,

[0075] The charge constraint is:

[0076] SoC min ≤SoC t ≤SoC max

[0077] SoC (24) =SoC (1)

[0078] ES charge and discharge constraints are:

[0079]

[0080] Among them, SoC min is the minimum value of SoC; SoC max is the maximum value of SoC; The lower limit of charging power for hybrid energy storage system; Upper limit on charging power of hybrid energy storage systems; is the lower limit of the discharge power of the hybrid energy storage system; is the upper limit of the discharge power of the hybrid energy storage system; is the discharge power of energy storage system i in period t, A is the charging power of energy storage system i in period t; E is a binary variable.

[0081] S2. Based on the objective function, a state of charge curve of the hybrid energy storage device under preset conditions is obtained.

[0082] This embodiment maximizes the objective function to obtain the charge and discharge curve of the energy storage device under the intraday electricity carbon market. and According to the relationship between SoC and charging and discharging, the overall SoC curve of daily energy storage is obtained, which is expressed as follows:

[0083]

[0084] It is understandable that in some implementations of this embodiment, an appropriate optimization algorithm (such as gradient descent, genetic algorithm, particle swarm optimization, etc.) can be selected to maximize the objective function.

[0085] S3. Calculate the discharge depth of the hybrid energy storage system according to the state of charge curve.

[0086] In some embodiments of the present invention, the state of charge curve is analyzed and calculated by the rain flow counting method to obtain the discharge depth set data of the hybrid energy storage system. Figure 2 , Figure 2 Shown is a schematic flow chart of a rain flow counting method in one embodiment of the present invention.

[0087] It can be seen that when the SoC-time variation curve is rotated 90°, the time coordinate axis is vertically downward, and the sample records are like a series of roofs, and the rainwater flows down along the roofs, so it is called the rain flow counting method.

[0088] Specifically, the counting principle includes the following steps:

[0089] (1) Rain flow starts from the inside of all points in the coordinate system and flows downward along the roof;

[0090] (2) Mark all peaks (i.e., the highest point where the SoC value increases) and valleys (i.e., the lowest point where the SoC value decreases) on the rotated SoC curve; the rain flow falls vertically when it flows to the next point. If the starting point of the rain flow is a peak point, the rain flow will continue to flow until it reaches a peak point that is larger than the starting point; if the starting point of the rain flow is a valley point, the rain flow will continue to flow until it reaches a valley point that is lower than the starting point;

[0091] (3) If the rain flow encounters the rain flow from the roof above, it stops flowing and forms a full cycle D with the rain flow from the roof above. all ;

[0092] (4) Determine each full-cycle data D all and half cycle D half , the amplitude of each cycle is the horizontal length of the rain flow.

[0093] All recorded discharge depth values ​​are sorted into a set, which represents the discharge depth distribution of the hybrid energy storage system in a given time period. In this embodiment, this set is recorded as D.

[0094] S4. Constructing a configuration model of energy storage efficiency loss related to the discharge depth according to the discharge depth and the state of charge curve.

[0095] This step is the process of building a configuration model. Based on the SoC change curve of the hybrid storage station and the calculation of the discharge depth, a mathematical model of system life loss and discharge depth is established. Specifically,

[0096] Since the cycle life L of energy storage decreases with the increase of the percentage of discharge depth D, this embodiment takes the cycle life of an energy storage device at 0% discharge depth as the maximum value L of the cycle life of this energy storage device. max In this implementation, CI represents the overall investment efficiency of hybrid energy storage. Each cycle consumes one cycle life, which corresponds to a certain amount of investment efficiency C.

[0097] It can be understood that the discharge depth D is defined as the difference between the SoC in the two stages, which is expressed by the following formula:

[0098]

[0099] Based on this, the relationship between the cycle life and efficiency loss of the hybrid energy storage device is analyzed to obtain a first analysis result, and then the relationship between the investment efficiency C and the cycle life is obtained as follows:

[0100]

[0101] Next, the relationship between the discharge depth and the cycle life is analyzed and calculated to obtain the second analysis result. Since the discharge depth D is defined as the SoC difference between the two stages, it is related to the net value of the ratio of the charge and discharge power difference to the rated power, so the relationship between the discharge depth D and the cycle life L is obtained as follows:

[0102]

[0103] Among them, k1, k2, k3 are function parameters, D a is the discharge depth of the energy storage in stage a, L a is the corresponding cycle life.

[0104] According to the above first analysis result and the second analysis result, the configuration model is constructed and obtained, specifically, it is expressed by the following formula:

[0105]

[0106] Among them, k ′ 1,k ′ 2,k ′ 3 is the converted function parameter, C a is the corresponding loss.

[0107] S5. Solve the configuration model based on the equal discharge depth loss slight increase rate criterion to obtain the configuration results of each energy storage discharge depth, so as to further configure the power of the hybrid energy storage system.

[0108] In the reference thermal power units, the principle of equal consumption and slight increase rate, also known as the principle of equal power generation coal consumption and slight increase rate, means that in the power system dispatch, when the objective function reaches the optimal level, the active power coal consumption of each generating unit should be equal, and the total power generation coal consumption rate of the system operation is the minimum.

[0109] Based on this, the embodiment of the present invention proposes the principle of equal discharge depth loss slight increase rate, by calculating that the partial derivatives of the discharge depth loss of different types of energy storage in different time periods are equal, and the sum of the discharge depths of different energy storages is the total discharge depth of the hybrid energy storage system, so as to obtain the optimally allocated discharge depth D of each energy storage i .

[0110] Specifically, two types of energy storage power allocation can be taken as examples:

[0111]

[0112] In the formula, C a,1 , C a,2 are the efficiency losses of the two types of energy storage; D a,1 , D a,2are the discharge depths of the two types of energy storage respectively; α1′, α2′, α3′ and β1′, β2′, β3′ are coefficients, which determine the relationship between the discharge depth loss and the discharge depth.

[0113] According to the above formula, we get:

[0114]

[0115] In the formula, θ1 and θ2 are the discharge depth loss increment rates of the two types of energy storage, respectively. a is the total discharge depth of the hybrid energy storage system.

[0116] Based on the above formula, the optimally allocated discharge depths D1 and D2 are obtained to allocate the hybrid energy storage system.

[0117] This embodiment links the discharge depth of the energy storage device with its corresponding life loss, obtains the configuration result of each energy storage discharge depth through optimization, and then configures the power of the hybrid energy storage system.

[0118] It is understandable that in some embodiments of the present invention, the charge and discharge curve of each energy storage device can be further calculated based on the obtained discharge depth configuration results. This curve describes the charge and discharge behavior of the energy storage device at different time points and is an important basis for evaluating the actual operation effect of the energy storage system.

[0119] The parameter changes of each energy storage device in the hybrid energy storage system during the charging and discharging process are analyzed according to the charging and discharging curves, and corresponding charging and discharging strategies are formulated according to the analysis results.

[0120] Parameters refer to the changes in voltage, current and capacity of each energy storage device during the charging and discharging process. Understanding the charging and discharging characteristics of energy storage devices will help to formulate more reasonable charging and discharging strategies to optimize the operation of the energy storage system.

[0121] In summary, the embodiments of the present invention aim to achieve the optimal power configuration of a hybrid energy storage system. By constructing an objective function that reflects the efficiency of the hybrid energy storage, the state of charge curve of the energy storage device is acquired, the discharge depth is calculated, and the energy storage efficiency loss model is constructed, thereby finally achieving accurate configuration of the power of the hybrid energy storage system. In addition, by constructing a configuration model in which the energy storage efficiency loss is related to the discharge depth, and solving the model based on the equal discharge depth loss micro-increase rate criterion, the configuration results of each energy storage discharge depth are obtained.

[0122] An embodiment of the present invention provides a hybrid energy storage system power configuration system. For details, see Figure 3 , Figure 3 The figure shows a schematic diagram of a power configuration system structure of a hybrid energy storage system in one embodiment of the present invention, including:

[0123] The objective function construction module M1 is used to construct an objective function reflecting the efficiency of hybrid energy storage according to the acquired main grid carbon potential curve and power market efficiency signal;

[0124] A curve acquisition module M2, used for acquiring a state of charge curve of the hybrid energy storage device under preset conditions based on the objective function;

[0125] A discharge depth calculation module M3, used to calculate the discharge depth of the hybrid energy storage system according to the state of charge curve;

[0126] A configuration model building module M4, used to build a configuration model related to energy storage efficiency loss and the discharge depth according to the discharge depth and the state of charge curve;

[0127] The configuration module M5 is used to solve the configuration model based on the equal discharge depth loss slight increase rate criterion, and obtain the configuration results of each energy storage discharge depth to further configure the power of the hybrid energy storage system.

[0128] like Figure 4 As shown, the embodiment of the present invention also provides a computer device, Figure 4 A structural block diagram of a preferred embodiment of a computer device provided by the present invention, the computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the hybrid energy storage system power configuration method as described above when executing the computer program.

[0129] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device.

[0130] The processor may be a central processing unit (CPU), or other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor. The processor is the control center of the terminal device, and various parts of the terminal device are connected using various interfaces and lines.

[0131] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, and a flash card (Flash Card), etc., or the memory can also be other volatile solid-state storage devices.

[0132] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 4 The structural block diagram is only an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown in the figure, or combine certain components, or different components. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it may include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium may be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0133] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to perform the steps in the hybrid energy storage system power configuration method as described in the above embodiment, for example Figure 1Steps S1 to S5 described in .

[0134] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A hybrid energy storage system power configuration method, characterized in that: include: According to the main grid carbon potential curve and power market efficiency signal, an objective function reflecting the efficiency of hybrid energy storage is constructed; Based on the objective function, obtaining a state of charge curve of the hybrid energy storage device under preset conditions; Calculating the discharge depth of the hybrid energy storage system according to the state of charge curve; Constructing a configuration model related to energy storage efficiency loss and the discharge depth according to the discharge depth and the state of charge curve; The configuration model is solved based on the equal discharge depth loss slight increase rate criterion to obtain the configuration results of each energy storage discharge depth, so as to further configure the power of the hybrid energy storage system.

2. The hybrid energy storage system power configuration method according to claim 1, characterized in that: The construction of the objective function reflecting the hybrid energy storage efficiency includes: According to the main grid carbon potential curve and wind and solar output curve, obtain daily average carbon emission data and grid loss data of the hybrid energy storage system; According to the power market efficiency signal, obtaining daily average decommissioning recovery efficiency data of the hybrid energy storage system; The objective function is constructed based on the carbon emission data, the network loss data and the decommissioning recovery efficiency data.

3. The hybrid energy storage system power configuration method according to claim 2, characterized in that: The constraints of the objective function include: The charge constraint in the constraint condition is: SoC min ≤SoC t ≤SoC max SoC (24) =SoC (1) The ES charge and discharge constraints in the constraints are: Among them, SoC min is the minimum value of SoC; SoC max is the maximum value of SoC; The lower limit of charging power for hybrid energy storage system; Upper limit on charging power of hybrid energy storage systems; is the lower limit of the discharge power of the hybrid energy storage system; is the upper limit of the discharge power of the hybrid energy storage system; is the discharge power of energy storage system i in period t, A is the charging power of energy storage system i in period t; E is a binary variable.

4. The hybrid energy storage system power configuration method according to claim 1, characterized in that: The calculating the discharge depth of the hybrid energy storage system according to the state of charge curve comprises: The state of charge curve is analyzed and calculated by the rain flow counting method to obtain the discharge depth aggregate data of the hybrid energy storage system.

5. The hybrid energy storage system power configuration method according to claim 1, characterized in that: The construction process of the configuration model includes: Analyzing the relationship between the cycle life and the efficiency loss of the hybrid energy storage device to obtain a first analysis result; Analyzing and calculating the relationship between the discharge depth and the cycle life to obtain a second analysis result; The configuration model is constructed based on the first analysis result and the second analysis result.

6. The hybrid energy storage system power configuration method according to claim 5, characterized in that: The configuration model is: Among them, D a is the discharge depth of the energy storage in stage a, k ′ 1,k ′ 2,k ′ 3 is the converted function parameter, C a is the corresponding loss.

7. The hybrid energy storage system power configuration method according to claim 1, characterized in that: After obtaining the configuration results of each energy storage discharge depth, the method further includes: According to the configuration result, obtaining the charge and discharge curve of each energy storage; Analyze the parameter changes of each energy storage device in the hybrid energy storage system during the charging and discharging process according to the charging and discharging curve; According to the analysis results, formulate corresponding charging and discharging strategies.

8. A hybrid energy storage system power configuration system, characterized in that: include: An objective function construction module is used to construct an objective function reflecting the efficiency of hybrid energy storage based on the acquired main grid carbon potential curve and power market efficiency signal; A curve acquisition module, used to acquire a state of charge curve of the hybrid energy storage device under preset conditions based on the objective function; A discharge depth calculation module, used to calculate the discharge depth of the hybrid energy storage system according to the state of charge curve; A configuration model building module, used to build a configuration model related to energy storage efficiency loss and the discharge depth according to the discharge depth and the state of charge curve; The configuration module is used to solve the configuration model based on the equal discharge depth loss slight increase rate criterion to obtain the configuration results of each energy storage discharge depth, so as to further configure the power of the hybrid energy storage system.

9. A computer device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the power configuration method of the hybrid energy storage system as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the hybrid energy storage system power configuration method according to any one of claims 1 to 7 is implemented.

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