Hydrogen-based multi-energy microgrid multi-resource sharing decision-making method and device including shared hydrogen storage station

Abstract

A multi-resource sharing decision-making method and device for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station, wherein the method inputs the set economic and technical parameters and load energy consumption data into the microgrid H-MEMG; constructs a shared hydrogen station SHS model according to the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of interaction with the hydrogen market; constructs a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determines the optimal hydrogen trading volume between each microgrid H-MEMG and the shared hydrogen station SHS through the model; constructs a cooperative game equilibrium model between each microgrid H-MEMG, and determines the optimal electricity-carbon trading volume, optimal trading price and revenue data through the model; combines the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electricity-hydrogen-carbon quota sharing decision model based on a hybrid game; and obtains an electricity, hydrogen and carbon quota resource sharing plan by solving the electricity-hydrogen-carbon quota sharing decision model. The present invention improves the economic efficiency of the operation of H-MEMGs and SHS, and effectively reduces regional carbon emissions.

Description

Technical Field

[0001] The present invention relates to the technical field of microgrid energy sharing, and in particular to a hydrogen-based multi-energy microgrid multi-resource sharing decision-making method and device including a shared hydrogen storage station. Background Art

[0002] In order to achieve the vision of global sustainable development, the United Nations has put forward urgent requirements for clean energy sustainability and low-carbon emission reduction in the 2030 Agenda for Sustainable Development. Green hydrogen plays an important role in achieving a zero-carbon future. Based on the electric-heat-gas multi-energy microgrid, the hydrogen-based multi-energy microgrid (H-MEMG) coupled with hydrogen energy is an effective way to reduce carbon emissions by promoting clean energy integration and cascade energy utilization. Independently operated H-MEMGs may face supply and demand deviations caused by unstable renewable energy output and load demand fluctuations. Energy storage is a feasible countermeasure to promote renewable energy consumption and ensure supply and demand balance. However, the advantages of H-MEMGs independently equipped with hydrogen energy storage (HES) cannot fully offset their high investment costs and operating expenses, and may face the problem of insufficient utilization of HES. In recent studies, the concept of connecting multiple geographically adjacent H-MEMGs for energy sharing has been widely recognized. Through energy sharing, interconnected H-MEMGs can utilize the complementarity and differences in energy production and consumption to optimize regional energy interaction, achieve supply and demand matching and energy complementarity, reduce dependence on external energy markets, and improve operational economy.

[0003] At present, the research on energy sharing mainly focuses on electric energy. However, in fact, hydrogen energy has the characteristics of high energy density, high conversion efficiency and low energy consumption, and has unique advantages in energy sharing. Electricity and hydrogen sharing can improve the operational flexibility and economy of H-MEMG, but many researchers have simplified the hydrogen transportation process or ignored the impact of hydrogen transportation and storage on costs, which makes it difficult to reflect the real situation of H-MEMGs participating in hydrogen energy P2P transactions. Unlike electric energy, hydrogen can only be transported by pipeline / transporter, and the transmission cost per unit of energy is 25 times that of electric energy. At present, many governments encourage third-party operators to invest in hydrogen energy infrastructure to provide services to multiple users in the region. This model realizes the transfer of hydrogen storage and transportation costs and has the potential to improve equipment utilization and increase operating income of all participants. Shared Hydrogen Station (SHS) helps solve the regional sharing problem of hydrogen energy. SHS operators invest in HES equipment and hydrogen transportation pipelines in the region and sell energy storage resources for profit. H-MEMGs achieve supply and demand matching by purchasing / selling hydrogen from SHS to meet energy demand. At the same time, SHS operators can dispatch hydrogen energy interconnection and mutual assistance with the best economic goals, and maximize the region's hydrogen energy self-sufficiency capabilities.

[0004] In addition, under the influence of low-carbon policies, the external environment of H-MEMG has changed from the energy market to the energy-carbon market, and carbon quotas have become P2P tradable resources. Traditional carbon trading is relatively independent of energy trading. The introduction of carbon trading usually changes the energy cost of different energy sources, thereby affecting energy trading decisions; at the same time, energy trading decisions will affect energy consumption behavior, leading to changes in carbon emissions. Therefore, expanding energy sharing between H-MEMGs to energy-carbon coordinated resource sharing is an effective means to balance energy costs and environmental costs. Some researchers have established an electricity-carbon coordinated P2P trading mechanism or model, which takes into account both economic benefits and low-carbon benefits by coordinating electricity-carbon P2P transactions. However, the decision-making method for electricity-hydrogen-carbon multi-resource sharing that comprehensively considers hydrogen energy trading still needs to be studied.

[0005] In summary, resource sharing decisions among MEMGs need to deal with the differences in different energy sharing methods and the complexity of energy-carbon trading linkage. How to invent a resource sharing decision-making method among H-MEMGs is still an issue that needs to be studied urgently. Summary of the invention

[0006] To this end, the present invention provides a hydrogen-based multi-energy microgrid multi-resource sharing decision-making method and device including a shared hydrogen storage station. The method improves the economy of the operation of H-MEMGs (regional interconnected hydrogen-based multi-energy microgrids) and SHS (shared hydrogen stations), and effectively reduces regional carbon emissions.

[0007] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a hydrogen-based multi-energy microgrid multi-resource sharing decision-making method including a shared hydrogen storage station, comprising:

[0008] Input the set economic and technical parameters and load energy data into the microgrid H-MEMG;

[0009] According to the coordination requirements of hydrogen charging and discharging between microgrid H-MEMGs and the characteristics of the interaction between microgrid H-MEMGs and the hydrogen market, a shared hydrogen station SHS model is constructed;

[0010] Construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen trading volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model;

[0011] Construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model;

[0012] Combining the non-cooperative game equilibrium model with the cooperative game equilibrium model, a hybrid game-based electricity-hydrogen-carbon quota sharing decision-making model is constructed;

[0013] By solving the electricity, hydrogen and carbon quota sharing decision model, an electricity, hydrogen and carbon quota resource sharing plan is obtained.

[0014] As a preferred solution for the multi-resource sharing decision-making method of hydrogen-based multi-energy microgrids with shared hydrogen storage stations, in the process of inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data include: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

[0015] As a preferred solution for the multi-resource sharing decision-making method of a hydrogen-based multi-energy microgrid containing a shared hydrogen storage station, the objective function expression of the shared hydrogen station SHS model is:

[0016]

[0017] In the formula, C SHS is the total cost of SHS; C S,market C is the cost of purchasing hydrogen from the hydrogen market for SHS; S,OM is the operation and maintenance cost of SHS equipment; C S,inv C is the equivalent cost of the investment in the SHS hydrogen pipeline; S,share is the hydrogen transaction cost of each microgrid; Q buy,t The amount of hydrogen purchased from the hydrogen market for SHS; is the hydrogen price in the hydrogen market; cb is the degradation cost coefficient of SHS; Q i,d,t and Q i,c,t are the amount of hydrogen released and charged to / from H-MEMG i by SHS at time t; c inv is the unit investment cost of the hydrogen transportation pipeline; L is the pipeline laying distance; r is the discount rate; l is the service life of the pipeline.

[0018] As a preferred solution for the multi-resource sharing decision-making method of a hydrogen-based multi-energy microgrid containing a shared hydrogen storage station, the constraints for constructing the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints.

[0019] As a preferred solution for the multi-resource sharing decision-making method of hydrogen-based multi-energy microgrids with shared hydrogen storage stations, each microgrid H-MEMG reduces the operating cost to the minimum while meeting the load demand through the MEMG architecture model of electric, hydrogen and thermal coupling; the objective function expression of the MEMG architecture model of electric, hydrogen and thermal coupling is:

[0020]

[0021] In the formula, C H-MEMG i is the operating cost of H-MEMG i; I is the set of H-MEMGs; C i,market C is the total cost of H-MEMG i purchasing electricity, natural gas and carbon quota from the external market; i,OM is the operation and maintenance cost of H-MEMG i facility; C i,share Share costs for electricity, hydrogen and carbon allowances.

[0022] The present invention also provides a hydrogen-based multi-energy microgrid multi-resource sharing decision-making device including a shared hydrogen storage station, based on the above hydrogen-based multi-energy microgrid multi-resource sharing decision-making method including a shared hydrogen storage station, comprising:

[0023] Microgrid H-MEMG data input module, used to input the set economic and technical parameters and load energy data into the microgrid H-MEMG;

[0024] The shared hydrogen station SHS model building module is used to build a shared hydrogen station SHS model based on the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market;

[0025] A non-cooperative game equilibrium model construction module is used to construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model;

[0026] A cooperative game equilibrium model construction module is used to construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model;

[0027] An electricity-hydrogen-carbon quota sharing decision-making model construction module is used to combine the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electricity-hydrogen-carbon quota sharing decision-making model based on a hybrid game;

[0028] The electricity, hydrogen and carbon quota sharing scheme acquisition module is used to obtain the electricity, hydrogen and carbon quota resource sharing scheme by solving the electricity, hydrogen and carbon quota sharing decision model.

[0029] As a preferred solution for a hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station, in the microgrid H-MEMG data input module, in the process of inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data include: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

[0030] As a preferred solution of a hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station, in the shared hydrogen station SHS model construction module, the objective function expression of the shared hydrogen station SHS model is:

[0031]

[0032] In the formula, C SHS is the total cost of SHS; C S,market C is the cost of purchasing hydrogen from the hydrogen market for SHS; S,OM is the operation and maintenance cost of SHS equipment; C S,inv C is the equivalent cost of the investment in the SHS hydrogen pipeline; S,share is the hydrogen transaction cost of each microgrid; Q buy,t The amount of hydrogen purchased from the hydrogen market for SHS; is the hydrogen price in the hydrogen market; c b is the degradation cost coefficient of SHS; Q i,d,t and Q i,c,t are the amount of hydrogen released and charged to / from H-MEMG i by SHS at time t; c inv is the unit investment cost of the hydrogen transportation pipeline; L is the pipeline laying distance; r is the discount rate; l is the service life of the pipeline.

[0033] As a preferred solution for a hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station, in the shared hydrogen station SHS model construction module, the constraints for constructing the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints.

[0034] As a preferred solution for the multi-resource sharing decision-making device of the hydrogen-based multi-energy microgrid containing a shared hydrogen storage station, in the SHS model construction module of the shared hydrogen station, each microgrid H-MEMG uses the MEMG architecture model of electric, hydrogen and gas thermal coupling to minimize the operating costs while meeting the load demand.

[0035] The present invention has the following advantages: inputting the set economic and technical parameters and load energy consumption data into the microgrid H-MEMG; constructing a shared hydrogen station SHS model according to the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market; constructing a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determining the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model; constructing a cooperative game equilibrium model between each microgrid H-MEMG, and determining the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model; combining the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electric hydrogen carbon quota sharing decision model based on a hybrid game; and solving the electric hydrogen carbon quota sharing decision model to obtain an electric, hydrogen and carbon quota resource sharing plan. The present invention proposes a resource sharing decision method that integrates the P2P trading of electric energy and carbon quotas of a shared hydrogen storage station with the parallel sharing of hydrogen energy storage. This method can provide a new method for resource sharing of multi-energy microgrids with electric, hydrogen, gas and heat coupling. First, in order to realize hydrogen energy storage sharing, a regional shared hydrogen station SHS model is introduced to explore the potential of hydrogen energy sharing; on this basis, a hybrid game equilibrium model describing the interactive characteristics of electricity, hydrogen and carbon quota is established to solve the problems of resource scheduling, pricing strategy and benefit distribution. At the same time, the present invention also improves the economic efficiency of H-MEMGs and SHS operation, and effectively reduces regional carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0037] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0038] Figure 1 A schematic flow chart of a method for decision-making on multi-resource sharing of a hydrogen-based multi-energy microgrid including a shared hydrogen storage station provided in Example 1 of the present invention;

[0039] Figure 2 A schematic diagram of a regional interconnected H-MEMGs electricity-hydrogen-carbon quota resource sharing structure integrating SHS in a multi-resource sharing decision-making method for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station provided in Example 1 of the present invention;

[0040] Figure 3 A schematic diagram of the internal structure of H-MEMG in the multi-resource sharing decision method for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station provided in Example 1 of the present invention;

[0041] Figure 4 Schematic diagram of the electric thermal hydrogen load curve of H-MEMGs in a possible embodiment provided in Example 1 of the present invention; wherein (a) is H-MEMG 1; (b) is H-MEMG 2; (c) is H-MEMG 3;

[0042] Figure 5 Schematic diagram of the output historical data curve of the MEMGs electric thermal hydrogen negative wind farm and photovoltaic power station in a possible embodiment provided in Embodiment 1 of the present invention; wherein (a) is H-MEMG 1; (b) is H-MEMG 2; (c) is H-MEMG 3;

[0043] Figure 6 A schematic diagram of the hydrogen interaction amount between MEMG and SHS and the hydrogen prices in the domestic and foreign markets in a possible embodiment provided in Embodiment 1 of the present invention;

[0044] Figure 7 A schematic diagram of the hydrogen charging and discharging amount and SOC of the SHS in a possible embodiment provided in Embodiment 1 of the present invention;

[0045] Figure 8 This is a possible example of the P2P situation of power between H-MEMGs in Example 1 of the present invention; (a) is H-MEMG 1; (b) is H-MEMG 2; (c) is H-MEMG 3;

[0046] Fig. 9A schematic diagram of carbon quota interaction between microgrids in a possible embodiment provided in Embodiment 1 of the present invention;

[0047] Fig.10 A schematic diagram showing a comparison of CO2 emissions of each H-MEMG before and after sharing of electricity-hydrogen-carbon quotas in a possible embodiment provided in Embodiment 1 of the present invention;

[0048] Fig.11 This is a schematic diagram of the architecture of a multi-resource sharing decision-making device for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station provided in Example 2 of the present invention. DETAILED DESCRIPTION

[0049] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. 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.

[0050] Example 1

[0051] See also Figure 1 Embodiment 1 of the present invention provides a multi-resource sharing decision method for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station, comprising the following steps:

[0052] S1. Input the set economic and technical parameters and load energy data into the microgrid H-MEMG;

[0053] S2. Construct a shared hydrogen station SHS model based on the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market;

[0054] S3. Construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model;

[0055] S4. Construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model;

[0056] S5. Combining the non-cooperative game equilibrium model with the cooperative game equilibrium model, constructing an electric hydrogen carbon quota sharing decision model based on a hybrid game;

[0057] S6. Obtain an electricity, hydrogen and carbon quota resource sharing plan by solving the electricity, hydrogen and carbon quota sharing decision model.

[0058] In this embodiment, in step S1, when inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data includes: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

[0059] Specifically, Figure 2 As shown in the figure, the regional interconnected H-MEMGs electricity-hydrogen-carbon quota resource sharing architecture with SHS includes three electricity-heat-gas-hydrogen H-MEMGs with different production capacity and load characteristics. I is defined as the set of H-MEMGs, and each H-MEMG is indexed by i∈I. On this basis, an SHS invested and built by the SHS operator is introduced, and a decision method for sharing electricity-hydrogen-carbon quota resources between regional interconnected H-MEMGs integrating SHS is proposed.

[0060] Each H-MEMG independently purchases and sells electricity from the upper power grid, purchases natural gas from the natural gas grid, and purchases carbon quotas on the carbon market to pay for its carbon emissions. Microgrids do not trade independently with the hydrogen market, but purchase and sell hydrogen through SHS. SHS plays the role of a regional hydrogen energy hub, purchasing hydrogen from microgrids with surplus hydrogen and transporting it to microgrids with hydrogen shortages to achieve regional hydrogen energy complementarity; it also connects with the external hydrogen market to purchase hydrogen when hydrogen is insufficient to ensure the stable operation of the microgrid. At the same time, microgrids share resources of electricity and carbon quotas through P2P transactions, supporting the balance between economic benefits and low-carbon benefits.

[0061] The set of optimization time periods is defined as T = {1, 2, ..., T}, each time slot is represented by t∈T, the optimization period is 24h, and the time interval tΔ = 1h. Whether it is purchasing energy from the power grid, gas grid or hydrogen market, or sharing electricity and hydrogen energy in the region, the time scale of energy scheduling is hourly; and carbon quotas follow the current rule of clearing positions once a day in the carbon market, and are traded between the carbon market and the microgrid on a daily time scale [19,35].

[0062] In this embodiment, in step S2, a shared hydrogen station SHS model is constructed according to the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market;

[0063] Specifically, SHS aims to maximize its own interests under the premise of ensuring the hydrogen energy demand of microgrid. The cost items of SHS include the cost of purchasing hydrogen from the hydrogen market C S,market , Equipment operation and maintenance cost C S,OM , the equivalent cost of hydrogen pipeline investment C S,inv , and the hydrogen transaction cost C with each microgrid S,shareThe present invention assumes that the H-MEMGs are not far from each other, so the investment equivalent cost of the hydrogen transportation pipeline is used to replace the real-time transportation cost of hydrogen. The objective function is shown in formula (1):

[0064]

[0065] In the formula, C SHS is the total cost of SHS; Q buy,t The amount of hydrogen purchased from the hydrogen market for SHS; is the hydrogen price in the hydrogen market; c b is the degradation cost coefficient of SHS; Q i,d,t and Q i,c,t are the amount of hydrogen released and charged to / from H-MEMG i by SHS at time t; c inv is the unit investment cost of the hydrogen transportation pipeline; L is the pipeline laying distance; r is the discount rate; l is the service life of the pipeline.

[0066] The constraints of the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints. The specific constraints are as follows:

[0067]

[0068] In the formula, and are the maximum hydrogen discharge and hydrogen charging powers of SHS at time t; Q S,t+1 / Q S,t is the remaining hydrogen amount in the SHS hydrogen storage tank at time t+1 / t; η d / η c are the discharge / charge efficiency of hydrogen respectively; and They are the minimum / maximum remaining hydrogen volume allowed in the hydrogen storage tank; in order to ensure that SHS can make a profit, the internal hydrogen transaction price must be no less than the lower limit of the hydrogen market price Not higher than the upper limit of hydrogen market price

[0069] As a supplement to the construction of the shared hydrogen station SHS model, each microgrid H-MEMG uses the MEMG architecture model of electric, hydrogen and thermal coupling to minimize the operating cost while meeting the load demand; the objective function expression of the MEMG architecture model of electric, hydrogen and thermal coupling is:

[0070]

[0071] In the formula, C H-MEMG i is the operating cost of H-MEMG i; I is the set of H-MEMGs; C i,marketC is the total cost of H-MEMG i purchasing electricity, natural gas and carbon quota from the external market; i,OM is the operation and maintenance cost of H-MEMG i facility; C i,share Share costs for electricity, hydrogen and carbon allowances.

[0072] The specific internal structure of H-MEMG is as follows Figure 3 As shown. In the energy supply link, each microgrid is equipped with REG equipment; in the energy conversion link, each H-MEMG is equipped with an electrolyzer (EL), a hydrogen fuel cell (HFC), a combined heat and power (CHP), a methane reactor (MR), a carbon capture and storage-power to gas (CCS-P2G) and a boiler (GB), etc., realizing the multi-energy coupling between hydrogen energy, electricity, heat energy and natural gas energy. It is worth noting that the CHP used in the present invention is a gas-hydrogen blending system, which can use the surplus hydrogen produced by electrolysis to mix with natural gas for energy supply, and avoid the problem of forced output of the electrolyzer by changing the hydrogen blending ratio, further improve the utilization rate and flexibility of hydrogen and reduce carbon emissions; the post-combustion type CCS-P2G device is directly connected to the exhaust port of the CHP, and part of the CO2 produced by the CHP is aggregated and directly sent to the CCS, and then re-injected into the CHP after methanation by P2G, which can reduce the cost of carbon sequestration and effectively realize carbon circulation. In the energy storage link, an electric energy storage device (Electricity Storage Systems, EES) and a small-scale HES are set.

[0073] In this embodiment, in step S3, a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS is constructed, and the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS is determined by the non-cooperative game equilibrium model;

[0074] Specifically, a non-cooperative game equilibrium model between each H-MEMG and SHS is established. Down, Formula (1) is The optimal solution of Formula (2) is for all The optimal solution is: In equation (8), the game between H-MEMG i and SHS reaches equilibrium:

[0075]

[0076] That is, the game reaches equilibrium when a stable state is found that satisfies both the hydrogen demand of H-MEMG i equal to the hydrogen supply of SHS and the expected hydrogen price of H-MEMG i equal to the hydrogen pricing of SHS.

[0077] In the non-cooperative game, the strategies of H-MEMG i and SHS are to achieve the minimum value of their respective expected costs. To simplify the expression, all cost items of each subject except hydrogen energy trading are combined, then for H-MEMG i, formula (2) is simplified to:

[0078]

[0079] In the formula, represents the sum of all cost items other than H-MEMG i hydrogen energy transaction; C i,e is the electricity P2P transaction cost; C i,E is the carbon quota P2P transaction cost; Formula (9c) represents the hydrogen energy balance constraint at time t: Q i,load,t is the hydrogen load of H-MEMG i; Q i,CHP,t is the hydrogen content of CHP; Q i,HFC,t is the hydrogen consumption of HFC; Q i,EL,t is the hydrogen production of EL; η i,t is its corresponding dual multiplier; the set Includes all constraints of H-MEMG i.

[0080] For SHS, formula (1) is simplified to:

[0081]

[0082] In the formula, represents the sum of all cost items of SHS except hydrogen energy trading; Includes all constraints of SHS.

[0083] Solving equations (8)-(10) gives the game equilibrium solution between H-MEMG i and SHS. According to the definition of variational inequality, if is the optimal solution of (9), is the corresponding dual variable, is the optimal solution of (10), then for The following holds:

[0084]

[0085] Specifically, if but like but From this we can see that Then equation (8) and equations (11) and (12) constitute the equilibrium realization conditions and find the transaction unit price But this is obviously still not a convex optimization problem that can be solved directly. In particular, the equilibrium solution problem of equations (8)-(10) can be further simplified through VI to the optimal solution problem of equation (13):

[0086]

[0087] To demonstrate equivalence:

[0088] According to the definition of VI, if Q′ i,t is the optimal solution of formula (13), μ′ i,t is the corresponding dual variable, then for The following holds:

[0089]

[0090] And we still get: i,t =μ′ i,t .

[0091] If we assume that:

[0092]

[0093] Then equation (11b) can be completely equivalent to equation (14b), equation (12) is equivalent to equation (14a), and vice versa. Therefore, the equilibrium solution of equations (8)-(10) can be equivalently transformed into the optimal solution problem of equation (13) which can be directly calculated. The optimal solution determines the optimal hydrogen trading volume of each H-MEMG and SHS, and the hydrogen pricing is equal to the dual variable value at the optimal solution.

[0094] In this embodiment, in step S4, a cooperative game equilibrium model between each microgrid H-MEMG is constructed, and the optimal electricity-carbon transaction volume, optimal transaction price and revenue data are determined through the cooperative game equilibrium model;

[0095] Specifically, the interconnected H-MEMGs conduct cooperative games based on Nash-Bargaining. The solution that maximizes the Nash product in equation (17) is the equilibrium solution to the Nash-Bargaining problem:

[0096]

[0097] In the formula, is the minimum operating cost when subject n does not cooperate, that is, the Nash negotiation breakdown point; C n The lowest operating cost after the cooperation of entity n. It means that through negotiation, the benefit improvement value obtained by subject n cannot be less than 0, otherwise the negotiation will fail. For the electricity-carbon P2P cooperative game problem between H-MEMGs of the present invention, it is necessary to satisfy:

[0098]

[0099] Where: It represents the minimum cost of independent operation of the microgrid.

[0100] According to the mean inequality, equation (18) can be equivalently converted into the first sub-problem that is easy to solve: the alliance benefit maximization sub-problem. In model (19), the nonlinear quadratic terms of "transaction volume × transaction unit price" of the microgrid's electricity trading amount and carbon quota trading amount are offset each other in the superposition process, so the first sub-problem is a linear solution problem. Substitute the optimal solution of the first sub-problem into the second sub-problem: the electricity and carbon trading payment negotiation sub-problem, and solve the two sub-problems in turn to obtain the optimal solution of the original problem.

[0101] The first sub-problem: maximizing alliance benefits.

[0102]

[0103] Where: C i,-e,-E represents the sum of all cost items of H-MEMG i except electricity-carbon trading; Represents the hydrogen energy transaction cost. Solving the first sub-problem can obtain the optimal electricity-carbon transaction volume and the maximum benefit of the alliance.

[0104] The second sub-problem: Negotiations on electricity and carbon trading payments.

[0105]

[0106] Where: is the optimal solution to the first sub-problem; the electricity price and carbon price constraints indicate that P2P transactions can only be achieved when the price is more competitive than the external market price. Solving the second sub-problem yields the optimal electricity-carbon P2P transaction price and the revenue distribution result.

[0107] In this embodiment, in step S5, the non-cooperative game equilibrium model and the cooperative game equilibrium model are combined to construct an electric hydrogen carbon quota sharing decision model based on a hybrid game;

[0108] Specifically, through the model transformation of the aforementioned variational inequality and mean inequality, the non-cooperative game model {Formula (18)} and the first sub-problem of the cooperative game model {Formula (19)} can be combined to obtain a hybrid game equilibrium model of electricity-hydrogen-carbon quota resource sharing:

[0109]

[0110] The optimal solution of formula (21) determines the hydrogen trading volume and pricing strategy between H-MEMG i and SHS, as well as the strategy of electricity-carbon P2P trading volume between H-MEMGs.

[0111] In this embodiment, in step S6, the electricity, hydrogen and carbon quota resource sharing plan is obtained by solving the electricity, hydrogen and carbon quota sharing decision model.

[0112] Specifically, the hydrogen energy sharing cost of H-MEMG i is calculated as and Substituting into equation (20), we can optimize the pricing strategy and revenue distribution results of the electricity-carbon P2P transaction. At this point, the entire transaction strategy for electricity-hydrogen-carbon quota resource sharing has been solved.

[0113] In a possible embodiment, a specific example is provided as follows:

[0114] This embodiment takes a region containing three H-MEMGs as an example for simulation analysis. Figure 4 As shown, the electric heating hydrogen load curves of three H-MEMGs; Figure 5 The figure shows the historical output data curves of wind farms and photovoltaic power stations. Table 1 shows the purchase and sale price data. The YALMIP toolbox is used to establish the mathematical programming model of the shared hydrogen storage station and three microgrids, and the CPLEX and MOSEK commercial solvers are used to solve the hybrid game planning model. The compilation environment is MATLAB2021b.

[0115]

[0116] Table 1 Purchase and sale electricity price data

[0117] like Figure 6 As shown, the scheduling and pricing results of hydrogen energy sharing are demonstrated. From the perspective of H-MEMGs, each microgrid has a positive attitude towards shared hydrogen energy. It can use SHS to store low-cost hydrogen produced by electrolyzers at low electricity prices and low loads, sell hydrogen for profit, and achieve energy shifting to prepare for peak electricity consumption; during the daytime peak of electric thermal hydrogen load, H-MEMG can purchase hydrogen from shared hydrogen stations at a hydrogen price lower than the hydrogen market price to make up for the load shortfall. For example: from 1:00 to 2:00, the hydrogen production cost of H-MEMG is about 15 yuan / kg, while the unit price of hydrogen sales is 35 yuan / kg; from 11:00 to 19:00, the hydrogen production cost can reach up to 40 yuan / kg. At this time, H-MEMG can purchase hydrogen from SHS at a hydrogen price that is not only lower than the market price but also lower than the cost of hydrogen production.

[0118] From the perspective of SHS, SHS has formulated a flexible shared hydrogen storage service and a dynamic time-sharing hydrogen price strategy. During the daytime hydrogen purchase period, the hydrogen price is actively raised, and the profit is transferred to H-MEMGs, encouraging participants to charge hydrogen into shared energy storage; during the hydrogen discharge period, the hydrogen discharge price is always slightly higher than the purchase price but much lower than the external market hydrogen price. Therefore, SHS can take advantage of the peak-valley price arbitrage while H-MEMGs are willing to choose the more economical SHS hydrogen. In addition, the hydrogen price set by the hydrogen station is basically consistent with the hydrogen market price and the upper-level power grid electricity price in terms of trend, which is in line with market laws. Figure 7 As shown in the figure, the hydrogen charging and discharging and SOC of SHS are displayed. It can be seen that SHS purchased a large amount of hydrogen when the hydrogen price in the external market was low (1:00-3:00) and stored it for arbitrage during the peak load and hydrogen price peak periods. At 3:00, the hydrogen price of the internal and external hydrogen markets reached an equivalent point, because the purchase and sale of hydrogen stations reached a balance at this time.

[0119] like Figure 8 As shown in the figure, the electricity purchase and sale amount and interactive electricity price between each H-MEMG. The interactive electricity price between H-MEMGs is always within the range of the power grid purchase and sale price, which effectively prevents arbitrage behavior and conforms to market rules. It can be seen that H-MEMG 1 has the advantage of renewable energy production capacity, and can sell excess electricity close to the power grid sales price in the morning and evening, but because its own load is high and fluctuates greatly, it still needs to purchase electricity frequently during the day to make up for the shortfall; H-MEMG 2 has a relatively stable load during the peak period of daytime electricity consumption, and the fluctuation of electricity purchase and sale is small. At the same time, the load in the morning and evening is much lower than that of other microgrids, so it can sell electricity for profit; H-MEMG 3 has a relatively low load during the day, and it can sell electricity for profit by creating a price advantage of lower electricity prices. According to the degree of matching between its own supply and demand, each microgrid further reduces the level of individual energy consumption through power exchange.

[0120]

[0121]

[0122] Table 2: The amount of allowances that H-MEMGs need to purchase from different tiers of the carbon market after participating in resource sharing

[0123] Table 2 shows the quotas that each H-MEMG needs to purchase from different levels of the carbon market after participating in resource sharing. Fig. 9 As shown in Table 2, the carbon quota interaction between H-MEMGs is shown. As can be seen from Table 2, only H-MEMG 2's CQ purchase from the carbon market stops at the second tier, while H-MEMG 1 and H-MEMG 3 both purchase to the third tier; Fig. 9It can be seen that H-MEMG 1 purchased a large number of quotas from H-MEMG 2 and H-MEMG 3, H-MEMG 2 sold a large number of quotas to H-MEMG 1 and H-MEMG 3, and H-MEMG 3 adopted a strategy of buying a small amount and selling more. In general, H-MEMG 2 and H-MEMG 3 minimized the total cost of carbon trading for the region as a whole by transferring their own carbon emission advantages, and the total carbon cost was reduced by 84.71 yuan / day.

[0124] <![CDATA[C H-MEMG 1 ]]> <![CDATA[C H-MEMG 2 ]]> <![CDATA[C H-MEMG 3 ]]> <![CDATA[ΣC H-MEMG,i ]]> <![CDATA[C SHS ]]> Standalone operation 23911.56 31372.21 24565.22 79848.98 / Proposed method 22351.17 29918.26 22975.32 75244.74 -304.40 Cost savings 1560.39 1423.95 1559.90 4544.24 304.40

[0125] Table 3 Economic comparison of optimization results

[0126] Table 3 compares the cost of H-MEMGs, the benefits of shared hydrogen stations, and the total regional cost between independent operation of H-MEMGs and the proposed method. In comparison, the proposed method achieves regional energy sharing and mutual assistance, and the total cost of H-MEMGs is reduced by 5.7%, and the operators of shared hydrogen stations can also obtain considerable benefits.

[0127] like Fig.10 As shown, the carbon emission changes of each H-MEMG after the proposed method is adopted are given. It can be seen that the CO2 emissions of all systems are reduced, and the regional carbon emissions are reduced by 3.4535t / day in total, accounting for 5.2% of the total, proving the low-carbon nature of the present invention.

[0128] In summary, the present invention inputs the set economic and technical parameters and load energy consumption data into the microgrid H-MEMG; constructs a shared hydrogen station SHS model according to the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market; constructs a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determines the optimal hydrogen trading volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model; constructs a cooperative game equilibrium model between each microgrid H-MEMG, and determines the optimal electricity-carbon trading volume, optimal transaction price and revenue data through the cooperative game equilibrium model; combines the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electric hydrogen carbon quota sharing decision model based on a hybrid game; and solves the electric hydrogen carbon quota sharing decision model to obtain an electric, hydrogen and carbon quota resource sharing plan. The present invention proposes a resource sharing decision method that integrates the P2P trading of electricity and carbon quotas of shared hydrogen storage stations and the parallel sharing of hydrogen energy storage. This method can provide a new method for resource sharing of multi-energy microgrids with electric, hydrogen, gas and heat coupling. First, in order to realize hydrogen energy storage sharing, a regional shared hydrogen station SHS model is introduced to explore the potential of hydrogen energy sharing; on this basis, a hybrid game equilibrium model describing the interactive characteristics of electricity, hydrogen and carbon quota is established to solve the problems of resource scheduling, pricing strategy and benefit distribution. At the same time, the present invention also improves the economic efficiency of H-MEMGs and SHS operation, and effectively reduces regional carbon emissions.

[0129] It should be noted that the method of the embodiment of the present disclosure can be performed by a single device, such as a computer or a server. The method of the present embodiment can also be applied in a distributed scenario and completed by multiple devices cooperating with each other. In the case of such a distributed scenario, one of the multiple devices can only perform one or more steps in the method of the embodiment of the present disclosure, and the multiple devices will interact with each other to complete the described method.

[0130] It should be noted that the above describes some embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the above embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0131] Example 2

[0132] See also Fig.11 Embodiment 2 of the present invention also provides a hydrogen-based multi-energy microgrid multi-resource sharing decision-making device including a shared hydrogen storage station, including:

[0133] Microgrid H-MEMG data input module 001, used to input the set economic and technical parameters and load energy data into the microgrid H-MEMG;

[0134] The shared hydrogen station SHS model building module 002 is used to build a shared hydrogen station SHS model according to the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market;

[0135] The non-cooperative game equilibrium model construction module 003 is used to construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model;

[0136] The cooperative game equilibrium model construction module 004 is used to construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model;

[0137] The electricity-hydrogen-carbon quota sharing decision model construction module 005 is used to combine the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electricity-hydrogen-carbon quota sharing decision model based on a hybrid game;

[0138] The electricity, hydrogen and carbon quota sharing plan acquisition module 006 is used to obtain the electricity, hydrogen and carbon quota resource sharing plan by solving the electricity, hydrogen and carbon quota sharing decision model.

[0139] In this embodiment, in the microgrid H-MEMG data input module 001, in the process of inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data includes: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

[0140] In this embodiment, in the shared hydrogen station SHS model construction module 002, the objective function expression of the shared hydrogen station SHS model is:

[0141]

[0142] In the formula, C SHS is the total cost of SHS; C S,market C is the cost of purchasing hydrogen from the hydrogen market for SHS; S,OM is the operation and maintenance cost of SHS equipment; C S,inv C is the equivalent cost of the investment in the SHS hydrogen pipeline; S,share is the hydrogen transaction cost of each microgrid; Q buy,tThe amount of hydrogen purchased from the hydrogen market for SHS; is the hydrogen price in the hydrogen market; c b is the degradation cost coefficient of SHS; Q i,d,t and Q i,c,t are the amount of hydrogen released and charged to / from H-MEMG i by SHS at time t; c inv is the unit investment cost of the hydrogen transportation pipeline; L is the pipeline laying distance; r is the discount rate; l is the service life of the pipeline.

[0143] In this embodiment, in the shared hydrogen station SHS model construction module 002, the constraints for constructing the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints.

[0144] In this embodiment, in the shared hydrogen station SHS model construction module 002, each microgrid H-MEMG reduces the operating cost to the minimum while meeting the load demand through the MEMG architecture model of electric hydrogen gas thermal coupling; the objective function expression of the MEMG architecture model of electric hydrogen gas thermal coupling is:

[0145]

[0146] In the formula, C H-MEMG i is the operating cost of H-MEMG i; I is the set of H-MEMGs; C i,market C is the total cost of H-MEMG i purchasing electricity, natural gas and carbon quota from the external market; i,OM is the operation and maintenance cost of H-MEMG i facility; C i,share Share costs for electricity, hydrogen and carbon allowances.

[0147] It should be noted that the information interaction, execution process and other contents between the modules of the above-mentioned system are based on the same concept as the method embodiment in Example 1 of the present application, and the technical effects they bring are the same as those of the method embodiment of the present application. For specific contents, please refer to the description in the method embodiment shown above in the present application, and will not be repeated here.

[0148] Example 3

[0149] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium, in which the program code of a hydrogen-based multi-energy microgrid multi-resource sharing decision-making method containing a shared hydrogen storage station is stored, and the program code includes instructions for executing the hydrogen-based multi-energy microgrid multi-resource sharing decision-making method containing a shared hydrogen storage station of Embodiment 1 or any possible implementation thereof.

[0150] Computer-readable storage media can be any available media that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0151] Example 4

[0152] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;

[0153] The processor and the memory communicate with each other via a bus; the memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the hydrogen-based multi-energy microgrid multi-resource sharing decision-making method containing a shared hydrogen storage station in Example 1 or any possible implementation thereof.

[0154] Specifically, the processor can be implemented by hardware or by software. When implemented by hardware, the processor can be a logic circuit, an integrated circuit, etc.; when implemented by software, the processor can be a general-purpose processor implemented by reading software codes stored in a memory. The memory can be integrated in the processor or can be located outside the processor and exist independently.

[0155] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable systems. The computer instructions can be stored in a computer-readable storage medium, or transmitted from a computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center.

[0156] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0157] Although the present invention has been described in detail above by general description and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to the present invention. Therefore, these modifications or improvements made without departing from the spirit of the present invention all belong to the scope of protection claimed by the present invention.

Claims

1. A multi-resource sharing decision-making method for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station, characterized in that: include: Input the set economic and technical parameters and load energy data into the microgrid H-MEMG; According to the coordination requirements of hydrogen charging and discharging between microgrid H-MEMGs and the characteristics of the interaction between microgrid H-MEMGs and the hydrogen market, a shared hydrogen station SHS model is constructed; Construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen trading volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model; Construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model; Combining the non-cooperative game equilibrium model with the cooperative game equilibrium model, a hybrid game-based electricity-hydrogen-carbon quota sharing decision-making model is constructed; By solving the electricity, hydrogen and carbon quota sharing decision model, a plan for sharing electricity, hydrogen and carbon quota resources is obtained; The objective function expression of the shared hydrogen station SHS model is: In the formula, C SHS is the total cost of SHS; C S,market C is the cost of purchasing hydrogen from the hydrogen market for SHS; S,OM is the operation and maintenance cost of SHS equipment; C S,inv C is the equivalent cost of the investment in the SHS hydrogen pipeline; S,share is the hydrogen transaction cost of each microgrid; Q buy,t The amount of hydrogen purchased from the hydrogen market for SHS; is the hydrogen price in the hydrogen market; c b is the degradation cost coefficient of SHS; Q i,d,t and Q i,c,t are the amount of hydrogen released and charged to / from H-MEMG i by SHS at time t; c inv is the unit investment cost of the hydrogen transportation pipeline; L is the pipeline laying distance; r is the discount rate; l is the service life of the pipeline; The constraints for constructing the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints; The game reaches equilibrium when a stable state is found that satisfies both the hydrogen demand of H-MEMGi equal to the hydrogen supply of SHS and the expected hydrogen price of H-MEMGi equal to the hydrogen pricing of SHS. In the non-cooperative game, the strategies of H-MEMGi and SHS are to achieve the minimum of their respective expected costs. The interconnected H-MEMGs conduct cooperative games based on Nash-Bargaining, making the formula The solution with the largest Nash product is the equilibrium solution to the Nash-Bargaining problem; In the formula, is the minimum operating cost when subject n does not cooperate, that is, the Nash negotiation breakdown point; C n is the minimum operating cost after the cooperation of subject n, It means that through negotiation, the benefit improvement value obtained by subject n cannot be less than 0, otherwise the negotiation will fail; Solve the two sub-problems in sequence to get the optimal solution of the original problem. The first sub-problem: maximizing the benefits of the alliance; the second sub-problem: electricity and carbon trading payment negotiation; The non-cooperative game model and the first sub-problem of the cooperative game model are combined to obtain a hybrid game equilibrium model of electricity-hydrogen-carbon quota resource sharing.

2. The method for decision-making on multi-resource sharing of a hydrogen-based multi-energy microgrid with a shared hydrogen storage station according to claim 1, characterized in that: In the process of inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data include: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

3. The method for decision-making on multi-resource sharing of a hydrogen-based multi-energy microgrid with a shared hydrogen storage station according to claim 1, characterized in that: Each microgrid H-MEMG reduces the operating cost to the minimum while meeting the load demand through the MEMG architecture model of electric, hydrogen and thermal coupling; the objective function expression of the H-MEMG architecture model of electric, hydrogen and thermal coupling is: In the formula, C H-MEMG i is the operating cost of H-MEMG i; I is the set of H-MEMGs; C i,market C is the total cost of H-MEMG i purchasing electricity, natural gas and carbon quota from the external market; i,OM is the operation and maintenance cost of H-MEMG i facility; C i,share Share costs for electricity, hydrogen and carbon allowances.

4. A multi-resource sharing decision-making device for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station, adopting a multi-resource sharing decision-making method for a hydrogen-based multi-energy microgrid including a shared hydrogen storage station as claimed in any one of claims 1 to 3, characterized in that: include: Microgrid H-MEMG data input module, used to input the set economic and technical parameters and load energy data into the microgrid H-MEMG; The shared hydrogen station SHS model building module is used to build a shared hydrogen station SHS model based on the coordination requirements of hydrogen charging and discharging between each microgrid H-MEMG and the characteristics of the interaction between each microgrid H-MEMG and the hydrogen market; A non-cooperative game equilibrium model construction module is used to construct a non-cooperative game equilibrium model between each microgrid H-MEMG and the shared hydrogen station SHS, and determine the optimal hydrogen transaction volume between each microgrid H-MEMG and the shared hydrogen station SHS through the non-cooperative game equilibrium model; A cooperative game equilibrium model construction module is used to construct a cooperative game equilibrium model between each microgrid H-MEMG, and determine the optimal electricity-carbon transaction volume, optimal transaction price and revenue data through the cooperative game equilibrium model; An electricity-hydrogen-carbon quota sharing decision-making model construction module is used to combine the non-cooperative game equilibrium model with the cooperative game equilibrium model to construct an electricity-hydrogen-carbon quota sharing decision-making model based on a hybrid game; The electricity, hydrogen and carbon quota sharing scheme acquisition module is used to obtain the electricity, hydrogen and carbon quota resource sharing scheme by solving the electricity, hydrogen and carbon quota sharing decision model.

5. The hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station according to claim 4, characterized in that: In the microgrid H-MEMG data input module, in the process of inputting the set economic, technical parameters and load energy consumption data into the microgrid H-MEMG, the input data includes: equipment model, equipment parameters, electricity, natural gas and hydrogen prices, Wasserstein coefficient, carbon quota coefficient, carbon emission coefficient, wind speed, light intensity, and typical daily load energy consumption data.

6. The hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station according to claim 5, characterized in that: In the shared hydrogen station SHS model construction module, the constraints for constructing the shared hydrogen station SHS model include: hydrogen power balance constraints, energy storage charging and discharging constraints, and hydrogen pricing constraints.

7. The hydrogen-based multi-energy microgrid multi-resource sharing decision-making device containing a shared hydrogen storage station according to claim 6, characterized in that: In the shared hydrogen station SHS model construction module, each microgrid H-MEMG uses the MEMG architecture model of electrical, hydrogen and thermal coupling to minimize operating costs while meeting load requirements.

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