Energy storage regulation marginal income calculation method and system, electronic equipment and medium

Abstract

The invention provides an energy storage regulation marginal income calculation method and system, electronic equipment and a medium, and belongs to the technical field of energy storage investing.The method comprises the following steps that S1, a multi-element energy storage optimization scheduling model based on new energy consumption is constructed; s2, bringing preset energy storage configuration capacities into the multi-element energy storage optimization scheduling model based on new energy consumption from small to large, and calculating new energy consumption amounts corresponding to different energy storage configuration capacities; and S3, by calculating the new energy consumption amount corresponding to the unit energy storage capacity increment, obtaining the multi-element energy storage marginal benefit oriented to the new energy consumption. According to the energy storage regulation marginal income calculation method and system, the electronic equipment and the medium, the relation between the investment cost and the consumption benefit can be specifically reflected, an effective reference standard is provided for multi-element energy storage construction, and the engineering practical value is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage investment, and in particular to a method, system, electronic equipment and medium for calculating marginal revenue of energy storage regulation. Background Art

[0002] As the proportion of new energy sources such as wind power and photovoltaics in the power system continues to rise, the volatility and intermittent characteristics of their output levels are becoming more and more obvious, making it difficult to accurately match the generated power with the load in real time, which in turn poses a severe challenge to the stability and economy of the power system operation.

[0003] Energy storage technology, with its dual identity of "power source" and "load" and its rapid response capability, has become a key means to meet this challenge. It can not only realize the flexible transfer of electric energy in the time dimension, effectively reduce the abandonment of wind and solar power of renewable energy, improve the level of consumption, but also significantly smooth the output of new energy and promote the smooth grid connection of renewable energy.

[0004] However, in the face of the high volatility and randomness of intermittent renewable energy output such as wind and solar, the configuration of a single energy storage technology in the power grid has been unable to meet the requirements of the new power system for a high proportion of renewable energy grid connection. In order to meet the demand for renewable energy grid connection while minimizing the cost of energy storage operation, the combined use of multiple energy storage technologies is particularly important.

[0005] In addition, the complexity of the grid and the uncertainty of source-load characteristics make it difficult to balance economy and flexibility when planning energy storage configuration solutions, especially when considering the future multi-timescale energy storage regulation and control needs of the grid. Therefore, how to develop an economical and flexible energy storage configuration strategy in the context of unclear source-load characteristics and unknown evolution paths has become an urgent problem to be solved.

[0006] It is worth noting that most of the existing research on diversified energy storage technologies to promote new energy consumption focuses only on the improvement of new energy consumption levels, while ignoring the consideration of marginal benefits of energy storage investment. In-depth research on this issue is not only of theoretical value, but also of great guiding significance for practical applications. Therefore, we need to further optimize the application mode and strategy of diversified energy storage technologies to more comprehensively improve the stability and economy of the power system. Summary of the invention

[0007] The purpose of the present invention is to provide a method, system, electronic equipment and medium for calculating the marginal benefit of energy storage regulation, which can provide effective support for the optimal configuration of capacity during energy storage investment and construction, have engineering practical value, and can obtain the optimal energy storage capacity configuration strategy under the premise of fully considering the marginal benefit of promoting the consumption of new energy.

[0008] To achieve the above object, the present invention provides a method for calculating marginal benefit of energy storage regulation, comprising the following steps:

[0009] Step S1, constructing a multi-energy storage optimization scheduling model based on new energy consumption;

[0010] Step S2: Bring the preset energy storage configuration capacities from small to large into the multi-energy storage optimization scheduling model based on new energy consumption, and calculate the new energy consumption corresponding to different energy storage configuration capacities;

[0011] Step S3: Calculate the amount of new energy consumption corresponding to the unit energy storage capacity increment to obtain the multi-dimensional energy storage marginal benefit for new energy consumption.

[0012] Preferably, in step S1, the objective function of the multi-element energy storage optimization scheduling model based on new energy consumption is as follows:

[0013] minF=min(C op +C p )(1);

[0014] C op =C cd +C g (2);

[0015]

[0016] Where F represents the objective function; C op , C p Respectively represent the energy storage operation cost and the wind and solar power abandonment costs; C cd,h , C cd,b Respectively represent the charging and discharging loss costs of hydrogen energy storage and electrochemical energy storage; c cd,eb 、c cd,fc They represent the unit charge and discharge loss costs of the electrolyzer and fuel cell respectively; They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at the i-th energy storage time t respectively; They represent the charge and discharge power of the electrochemical energy storage at the i-th energy storage moment t; c lw 、c lp They represent the penalty costs for unit wind and photovoltaic power abandonment respectively; They represent the maximum power that can be generated and the actual grid-connected power of the wind power of the j-th renewable energy plant at time t respectively; They represent the maximum photovoltaic power that can be generated and the actual grid-connected power of the j-th new energy plant at time t; They respectively represent the output power and cost of the zth thermal power unit at time t; Δt represents the optimization time interval considered; N1 represents the maximum number of energy storage facilities; N2 represents the maximum number of thermal power units; N3 represents the maximum value of new energy plants; and T represents the maximum value at time.

[0017] Preferably, in step S1, the constraints of the multi-energy storage optimization scheduling model based on new energy consumption include: system power balance constraints, hydrogen energy storage system operation characteristics constraints, electrochemical energy storage operation characteristics constraints, wind power and photovoltaic output constraints, and upper and lower limits of power injection into the power grid;

[0018] Among them, the system power balance constraints are as follows:

[0019]

[0020] in, represents the system load at time t; It represents the power injected by the upper power grid at time t; represents the actual grid-connected power of wind power at time t; Indicates the actual grid-connected power of photovoltaic power at time t; and They represent the total charging and discharging power of the energy storage of the system at time t respectively; and They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at time t of the system respectively;

[0021] The operating characteristics of the hydrogen energy storage system are constrained as follows:

[0022]

[0023] Among them, V t EB represents the volume of hydrogen produced by the electrolyzer at time t; ρ EB Indicates the rated hydrogen production volume per unit electricity consumed by the electrolyzer; EB Indicates the electrolytic efficiency of the electrolytic cell; V t FC represents the volume of hydrogen consumed by the fuel cell at time t; ρ FC Indicates the rated power generation of the fuel cell per unit volume of hydrogen consumed; μ FC Indicates the power generation efficiency of fuel cells; E hs,t and E hs,t+1 Respectively represent the remaining hydrogen volume in the hydrogen storage tank at time t and time t+1; and Respectively represent the volume of hydrogen filled into and discharged from the hydrogen storage tank at time t; N eb Indicates the number of electrolytic cells; N fc Indicates the number of fuel cells; N hsIndicates the number of hydrogen storage tanks; They represent the efficiency of filling and discharging hydrogen in the hydrogen storage tank respectively; Respectively represent the rated power of a single electrolyzer and fuel cell; 0-1 variables representing the hydrogen storage tank charging and discharging status respectively; 0-1 variables representing the hydrogen inlet and outlet status of the hydrogen storage tank; Indicates the maximum capacity of a single hydrogen storage tank; ε1 and ε2 respectively represent the ratio coefficients of the minimum and maximum allowable remaining capacity of the hydrogen storage tank to the total capacity during operation;

[0024] The operating characteristics of electrochemical energy storage are constrained as follows:

[0025] E t+1 =E t +(P t ch η-P t dis / η)Δt(10);

[0026] α1E max ≤E t ≤α2E max (11);

[0027]

[0028] Among them, E t 、E t+1 They represent the remaining energy of electrochemical energy storage at time t and t+1 respectively; η represents the charging and discharging efficiency of electrochemical energy storage; α1 and α2 represent the ratio coefficients of the minimum and maximum allowable remaining capacity to the total capacity during the operation of electrochemical energy storage respectively; β ch , β dis Respectively represent the 0-1 variables that limit the charge and discharge states of electrochemical energy storage; E max Indicates the maximum energy storage capacity; P max Indicates the maximum power of energy storage;

[0029] The output constraints for wind power and photovoltaic power are as follows:

[0030] 0≤P t w,r ≤P t w (13);

[0031] 0≤P t pv,r ≤P t pv (14);

[0032] Among them, P t w , Pt pv Indicates the maximum output limit of wind power and photovoltaic units at time t;

[0033] The output power of the fuel cell is as follows:

[0034]

[0035] in, Indicates the upper limit of the power injected by the upper grid.

[0036] Preferably, in step S3, the calculation formula for the marginal benefit of multi-energy storage for new energy consumption is as follows:

[0037]

[0038] Among them, M represents the marginal benefit of multi-energy storage with the incremental multi-energy storage capacity; ΔF and ΔC represent the incremental amount of new energy consumption and the incremental amount of energy storage capacity respectively; F(C) represents the new energy consumption of the system when the energy storage capacity is C; F(C+ΔC) represents the new energy consumption of the system when the energy storage capacity is C+ΔC.

[0039] The present invention also provides a system for calculating marginal benefit of energy storage regulation, comprising:

[0040] Optimization dispatch model construction unit, used to construct a multi-energy storage optimization dispatch model based on new energy consumption;

[0041] The energy storage configuration capacity adjustment unit is used to bring the preset energy storage configuration capacity from small to large into the multi-energy storage optimization scheduling model based on new energy consumption, and calculate the new energy consumption corresponding to different energy storage configuration capacities;

[0042] The marginal benefit calculation unit is used to obtain the multi-dimensional energy storage marginal benefits for new energy consumption by calculating the new energy consumption corresponding to the unit energy storage capacity increment.

[0043] The present invention also provides a computer device, comprising: a memory and a processor; the memory stores a computer program, and the processor executes the steps of the above-mentioned energy storage regulation marginal benefit calculation method when the computer program is executed.

[0044] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned energy storage regulation marginal benefit calculation method are implemented.

[0045] Therefore, the present invention adopts the above-mentioned energy storage regulation marginal benefit calculation method, system, electronic device and medium, and the beneficial technical effects are as follows:

[0046] (1) The present invention takes the marginal benefit of energy storage investment as the investment basis, which can improve the rationality and investment efficiency of energy storage investment while promoting the consumption of new energy.

[0047] (2) The present invention can specifically reflect the relationship between investment cost and consumption benefit, provide an effective reference standard for diversified energy storage construction, and has engineering practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A flow chart of a method for calculating marginal benefit of energy storage regulation according to the present invention;

[0049] Figure 2 It is a graph showing the change trend of the power abandonment rate with the energy storage configuration capacity in the present invention;

[0050] Figure 3 This is a diagram of the marginal benefit of renewable energy consumption in the energy storage promotion system under different energy storage construction scales in the present invention. DETAILED DESCRIPTION

[0051] The technical solution of the present invention is further described below through the accompanying drawings and embodiments.

[0052] Unless otherwise defined, technical or scientific terms used in the present invention shall have the common meanings understood by one having ordinary skills in the field to which the present invention belongs.

[0053] Embodiment 1

[0054] like Figure 1 As shown, a flow chart of a method for calculating marginal benefit of energy storage regulation of the present invention comprises the following steps:

[0055] Step S1: Given the basic operating parameters of the system (energy storage system), including load data, conventional unit output data and renewable energy installed capacity; given the energy storage investment cost C, determine the energy storage equipment selection and multi-source energy storage capacity E ess ;

[0056] Step S2: construct a multi-energy storage optimization scheduling model based on new energy consumption;

[0057] The objective function of the multi-energy storage optimization scheduling model based on new energy consumption is as follows:

[0058] minF=min(C op +C p )(1);

[0059] C op =C cd +C g (2);

[0060]

[0061] Where F represents the objective function; C op , C p Respectively represent the energy storage operation cost and the wind and solar power abandonment costs; C cd,h , C cd,b Respectively represent the charging and discharging loss costs of hydrogen energy storage and electrochemical energy storage; c cd,eb 、c cd,fc They represent the unit charge and discharge loss costs of the electrolyzer and fuel cell respectively; They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at the i-th energy storage time t respectively; They represent the charge and discharge power of the electrochemical energy storage at the i-th energy storage moment t; c lw 、c lp They represent the penalty costs for unit wind and photovoltaic power abandonment respectively; They represent the maximum power that can be generated and the actual grid-connected power of the wind power of the j-th renewable energy plant at time t respectively; They represent the maximum photovoltaic power that can be generated and the actual grid-connected power of the j-th new energy plant at time t; They respectively represent the output power and cost of the zth thermal power unit at time t; Δt represents the optimization time interval considered; N1 represents the maximum number of energy storage facilities; N2 represents the maximum number of thermal power units; N3 represents the maximum value of new energy plants; and T represents the maximum value at time.

[0062] The constraints of the multi-energy storage optimization dispatch model based on new energy consumption include: system power balance constraints, hydrogen energy storage system operation characteristics constraints, electrochemical energy storage operation characteristics constraints, wind power and photovoltaic output constraints, and upper and lower limits of grid injection power constraints;

[0063] Among them, the system power balance constraints are as follows:

[0064] P t L =P t dis -P t ch +P t FC -P t EB +P t w,r +P t pv,r +P t inj (6);

[0065] Among them, P t L represents the system load at time t; P tinj P represents the power purchased by the system from the upper power grid at time t; t w,r represents the actual grid-connected power of wind power at time t; P t pv,r represents the actual grid-connected power of photovoltaic power at time t; P t ch and P t dis They represent the total charging and discharging power of the energy storage system at time t; P t EB and P t FC They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at time t of the system respectively;

[0066] The operating characteristics of the hydrogen energy storage system are constrained as follows:

[0067]

[0068] Among them, V t EB represents the volume of hydrogen produced by the electrolyzer at time t; ρ EB Indicates the rated hydrogen production volume per unit electricity consumed by the electrolyzer; EB Indicates the electrolytic efficiency of the electrolytic cell; V t FC represents the volume of hydrogen consumed by the fuel cell at time t; ρ FC Indicates the rated power generation of the fuel cell per unit volume of hydrogen consumed; μ FC Indicates the power generation efficiency of fuel cells; E hs,t and E hs,t+1 Respectively represent the remaining hydrogen volume in the hydrogen storage tank at time t and time t+1; and Respectively represent the volume of hydrogen filled into and discharged from the hydrogen storage tank at time t; N eb Indicates the number of electrolytic cells; N fc Indicates the number of fuel cells; N hs Indicates the number of hydrogen storage tanks; They represent the efficiency of filling and discharging hydrogen in the hydrogen storage tank respectively; Respectively represent the rated power of a single electrolyzer and fuel cell; 0-1 variables representing the hydrogen storage tank charging and discharging status respectively; 0-1 variables representing the hydrogen inlet and outlet status of the hydrogen storage tank; Indicates the maximum capacity of a single hydrogen storage tank; ε1 and ε2 respectively represent the ratio coefficients of the minimum and maximum allowable remaining capacity of the hydrogen storage tank to the total capacity during operation;

[0069] The operating characteristics of electrochemical energy storage are constrained as follows:

[0070] E t+1 =E t +(P t ch η-P t dis / η)Δt(10);

[0071] α1E max ≤E t ≤α2E max (11);

[0072]

[0073] Among them, E t 、E t+1 They represent the remaining energy of electrochemical energy storage at time t and t+1 respectively; η represents the charging and discharging efficiency of electrochemical energy storage; α1 and α2 represent the ratio coefficients of the minimum and maximum allowable remaining capacity to the total capacity during the operation of electrochemical energy storage respectively; β ch , β dis Respectively represent the 0-1 variables that limit the charge and discharge states of electrochemical energy storage; E max Indicates the maximum energy storage capacity; P max Indicates the maximum power of energy storage;

[0074] The output constraints for wind power and photovoltaic power are as follows:

[0075] 0≤P t w,r ≤P t w (13);

[0076] 0≤P t pv,r ≤P t pv (14);

[0077] Among them, P t w , P t pv Indicates the maximum output limit of wind power and photovoltaic units at time t;

[0078] The output power of the fuel cell is as follows:

[0079]

[0080] in, Indicates the upper limit of the power injected by the upper grid.

[0081] Step S3, bringing the preset energy storage configuration capacities from small to large into the multi-energy storage optimal consumption scheduling model based on new energy, and calculating the new energy consumption corresponding to different energy storage configuration capacities;

[0082] Step S4, by calculating the amount of new energy consumption corresponding to the unit energy storage capacity increment, the marginal benefit of multi-energy storage for new energy consumption is obtained;

[0083] The calculation formula for the marginal benefit of diversified energy storage for new energy consumption is as follows:

[0084]

[0085] Among them, M represents the marginal benefit of multi-energy storage with the incremental multi-energy storage capacity; ΔF and ΔC represent the incremental amount of new energy consumption and the incremental amount of energy storage capacity respectively; F(C) represents the new energy consumption of the system when the energy storage capacity is C; F(C+ΔC) represents the new energy consumption of the system when the energy storage capacity is C+ΔC.

[0086] Step S5, increase the energy storage investment cost by ΔC, and set C+ΔC=C;

[0087] When the maximum energy storage investment cost C is not reached max When , reset the energy storage investment cost C;

[0088] When C = C max When the energy storage and new energy consumption performance curves are drawn,

[0089] The present invention will be further described below by means of specific examples.

[0090] In order to evaluate the marginal benefit of building energy storage in the system to the renewable energy absorption capacity of the system, the time scale is considered to be daily, the energy storage type is electrochemical energy storage, and the total energy storage capacity is 0MW / 0MWh to 1550MW / 3100MWh.

[0091] Table 1 System power abandonment rate

[0092]

[0093]

[0094] The change trend of power abandonment rate with energy storage configuration capacity is as follows: Figure 2 shown.

[0095] When the energy storage system is initially configured in the system, the system power abandonment rate decreases rapidly with each increase in energy storage capacity; as the energy storage capacity increases, the contribution of each unit of additional energy storage to the system's renewable energy absorption capacity begins to gradually decrease; if the energy storage configuration capacity continues to increase, the growth rate of renewable energy absorption capacity will further decrease. After reaching a certain critical point, the system's renewable energy is fully absorbed.

[0096] The changes in the marginal benefits of energy storage promoting renewable energy consumption in the system under different energy storage construction scales are as follows: Figure 3 shown.

[0097] As the storage capacity increases, the marginal benefit of energy storage in promoting the consumption of new energy decreases, and eventually decreases to 0. When considering the construction of energy storage to improve the system's renewable energy consumption capacity, the marginal benefit of the system's power abandonment rate changes in a step-by-step manner. In order to optimize the economic efficiency of energy storage construction, the energy storage capacity at the marginal benefit inflection point in the middle should be selected.

[0098] Embodiment 2

[0099] A system for calculating marginal benefit of energy storage regulation, comprising:

[0100] Optimization dispatch model construction unit, used to construct a multi-energy storage optimization dispatch model based on new energy consumption;

[0101] The energy storage configuration capacity adjustment unit is used to bring the preset energy storage configuration capacity from small to large into the multi-energy storage optimization scheduling model based on new energy consumption, and calculate the new energy consumption corresponding to different energy storage configuration capacities;

[0102] The marginal benefit calculation unit is used to obtain the multi-dimensional energy storage marginal benefits for new energy consumption by calculating the new energy consumption corresponding to the unit energy storage capacity increment.

[0103] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0104] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0105] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0106] It is worth noting that the contents not elaborated in detail in the present invention are all prior art and are well known to those skilled in the art.

[0107] Therefore, the present invention adopts the above-mentioned energy storage regulation marginal benefit calculation method, system, electronic equipment and medium, which can provide effective support for the optimal configuration of capacity during energy storage investment and construction, has engineering practical value, and can obtain the optimal energy storage capacity configuration strategy under the premise of fully considering the marginal benefits of promoting new energy consumption.

[0108] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for calculating marginal benefit of energy storage regulation, characterized in that: The following steps are involved: Step S1, constructing a multi-energy storage optimization scheduling model based on new energy consumption; Step S2: Bring the preset energy storage configuration capacities from small to large into the multi-energy storage optimization scheduling model based on new energy consumption, and calculate the new energy consumption corresponding to different energy storage configuration capacities; Step S3: Calculate the amount of new energy consumption corresponding to the unit energy storage capacity increment to obtain the multi-dimensional energy storage marginal benefit for new energy consumption.

2. A method for calculating marginal benefit of energy storage regulation according to claim 1, characterized in that: In step S1, the objective function of the multi-energy storage optimization scheduling model based on new energy consumption is as follows: minF=min(C op +C p )(1); C op =C cd +C g (2); Where F represents the objective function; C op , C p Respectively represent the energy storage operation cost and the wind and solar power abandonment costs; C cd,h , C cd,b Respectively represent the charging and discharging loss costs of hydrogen energy storage and electrochemical energy storage; c cd,eb 、c cd,fc They represent the unit charge and discharge loss costs of the electrolyzer and fuel cell respectively; They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at the i-th energy storage time t respectively; They represent the charge and discharge power of the electrochemical energy storage at the i-th energy storage moment t; c lw 、c lp They represent the penalty costs for unit wind and photovoltaic power abandonment respectively; They represent the maximum power that can be generated and the actual grid-connected power of the wind power of the j-th renewable energy plant at time t respectively; They represent the maximum photovoltaic power that can be generated and the actual grid-connected power of the j-th new energy plant at time t; They respectively represent the output power and cost of the zth thermal power unit at time t; Δt represents the optimization time interval considered; N1 represents the maximum number of energy storage facilities; N2 represents the maximum number of thermal power units; N3 represents the maximum value of new energy plants; and T represents the maximum value at time.

3. The method for calculating marginal benefit of energy storage regulation according to claim 2, characterized in that: In step S1, the constraints of the multi-energy storage optimization scheduling model based on new energy consumption include: system power balance constraints, hydrogen energy storage system operation characteristics constraints, electrochemical energy storage operation characteristics constraints, wind power and photovoltaic output constraints, and upper and lower limits of power injection into the grid; Among them, the system power balance constraints are as follows: P t L =P t dis -P t ch +P t FC -P t EB +P t w,r +P t pv,r +P t inj (6); Among them, P t L represents the system load at time t; P t inj P represents the power injected by the upper grid at time t; t w,r represents the actual grid-connected power of wind power at time t; P t pv,r represents the actual grid-connected power of photovoltaic power at time t; P t ch and P t dis They represent the total charging and discharging power of the energy storage system at time t; P t EB and P t FC They represent the electrolysis power of the electrolyzer and the output power of the fuel cell at time t of the system respectively; The operating characteristics of the hydrogen energy storage system are constrained as follows: Among them, V t EB represents the volume of hydrogen produced by the electrolyzer at time t; ρ EB Indicates the rated hydrogen production volume per unit electricity consumed by the electrolyzer; EB Indicates the electrolytic efficiency of the electrolytic cell; V t FC represents the volume of hydrogen consumed by the fuel cell at time t; ρ FC Indicates the rated power generation of the fuel cell per unit volume of hydrogen consumed; μ FC Indicates the power generation efficiency of fuel cells; E hs,t and E hs,t+1 Respectively represent the remaining hydrogen volume in the hydrogen storage tank at time t and time t+1; and Respectively represent the volume of hydrogen filled into and discharged from the hydrogen storage tank at time t; N eb Indicates the number of electrolytic cells; N fc Indicates the number of fuel cells; N hs Indicates the number of hydrogen storage tanks; They represent the efficiency of filling and discharging hydrogen in the hydrogen storage tank respectively; Respectively represent the rated power of a single electrolyzer and fuel cell; 0-1 variables representing the hydrogen storage tank charging and discharging status respectively; 0-1 variables representing the hydrogen inlet and outlet status of the hydrogen storage tank; Indicates the maximum capacity of a single hydrogen storage tank; ε1 and ε2 respectively represent the ratio coefficients of the minimum and maximum allowable remaining capacity of the hydrogen storage tank to the total capacity during operation; The operating characteristics of electrochemical energy storage are constrained as follows: E t+1 =E t +(P t ch n-P t dis / h)Δt(10); a1E max ≤E t ≤α2E max (11); Among them, E t 、E t+1 They represent the residual energy of electrochemical energy storage at time t and t+1 respectively; η represents the charging and discharging efficiency of electrochemical energy storage; α1 and α2 represent the ratio coefficient of the minimum and maximum allowable residual capacity to the total capacity during the operation of electrochemical energy storage respectively; β ch , β dis Respectively represent the 0-1 variables that limit the charge and discharge states of electrochemical energy storage; E max Indicates the maximum energy storage capacity; P max Indicates the maximum power of energy storage; The output constraints for wind power and photovoltaic power are as follows: 0≤P t w,r ≤P t w (13); 0≤P t pv,r ≤P t pv (14); Among them, P t w , P t pv Indicates the maximum output limit of wind power and photovoltaic units at time t; The output power of the fuel cell is as follows: in, Indicates the upper limit of the power injected by the upper grid.

4. The method for calculating marginal benefit of energy storage regulation according to claim 3 is characterized in that: In step S3, the calculation formula for the marginal benefit of multi-energy storage for new energy consumption is as follows: Among them, M represents the marginal benefit of multi-energy storage with the incremental multi-energy storage capacity; ΔF and ΔC represent the incremental amount of new energy consumption and the incremental amount of energy storage capacity respectively; F(C) represents the new energy consumption of the system when the energy storage capacity is C; F(C+ΔC) represents the new energy consumption of the system when the energy storage capacity is C+ΔC.

5. A system for calculating marginal benefit of energy storage regulation, characterized in that: include: Optimization dispatch model construction unit, used to construct a multi-energy storage optimization dispatch model based on new energy consumption; The energy storage configuration capacity adjustment unit is used to bring the preset energy storage configuration capacity from small to large into the multi-energy storage optimization scheduling model based on new energy consumption, and calculate the new energy consumption corresponding to different energy storage configuration capacities; The marginal benefit calculation unit is used to obtain the multi-dimensional energy storage marginal benefits for new energy consumption by calculating the new energy consumption corresponding to the unit energy storage capacity increment.

6. A computer device comprising: Memory and processor; The memory stores a computer program, characterized in that when the processor executes the computer program, the steps of the energy storage regulation marginal benefit calculation method described in claims 1-4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the energy storage regulation marginal benefit calculation method described in claims 1-4 are implemented.

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