Optimal configuration method and device for electricity-hydrogen cooperative system, computer equipment, storage medium and program product

Abstract

The invention relates to an electricity-hydrogen cooperation system optimization configuration method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: constructing a cost model based on the total cost of a generator set, the total cost of a regional power grid, the total cost of a hydrogen energy storage system, the hydrogen transportation cost and the carbon emission cost; constructing a deviation settlement model based on the deviation value of the electro-hydrogen balance unit and the balance energy price; taking cost minimization as a target, and constructing a target function based on a cost model and a deviation settlement model; solving the objective function based on the plurality of state operation constraints to obtain a configuration result of the electricity-hydrogen cooperative system; the multiple state operation constraints comprise electric energy balance constraint, climbing constraint, operation power constraint, charge state constraint, electrolytic bath operation constraint, power transmission line transmission power constraint, hydrogen energy balance constraint, hydrogen storage tank constraint and electric hydrogen balance unit constraint. By adopting the method, the electricity-hydrogen cooperative system can be reasonably configured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric-hydrogen collaborative systems, and in particular to an electric-hydrogen collaborative system optimization configuration method and device, computer equipment, a storage medium, and a program product. BACKGROUND

[0002] With large-scale grid connection of renewable energy such as wind power and photovoltaic power, the volatility and uncertainty of the power system have significantly increased, and traditional peak shaving and energy storage means have been difficult to meet the demand of high-proportion new energy access. Hydrogen energy, as an important support direction of global energy transformation, is widely considered to be an important part of the future clean energy system due to its high energy density, renewable production approach, and zero-carbon emission characteristics. Hydrogen energy, through the links of water electrolysis hydrogen production, hydrogen storage, and fuel cell power generation, can form a time and space decoupling between energy production and consumption, providing long-time energy storage, peak shaving, and multi-energy complementary capabilities for the power system.

[0003] Therefore, it is of great significance to realize the collaborative development of hydrogen energy and the power system for building a new power system and promoting the green and low-carbon transformation of the energy structure. Therefore, how to reasonably configure the electric-hydrogen collaborative system has become a problem to be solved. SUMMARY

[0004] Therefore, it is necessary to provide an electric-hydrogen collaborative system optimization configuration method, device, computer equipment, storage medium, and program product capable of reasonably configuring the electric-hydrogen collaborative system.

[0005] In a first aspect, the present application provides an electric-hydrogen collaborative system optimization configuration method, comprising: constructing a cost model based on a total cost of a generator set, a total cost of a regional power grid, a total cost of a hydrogen energy storage system, a hydrogen transportation cost, and a carbon emission cost; constructing a deviation settlement model based on a deviation amount of an electric-hydrogen balance unit and a balance energy price; constructing a target function based on the cost model and the deviation settlement model with the minimum cost as the target; solving the target function based on a plurality of state operation constraints to obtain a configuration result of the electric-hydrogen collaborative system; and the plurality of state operation constraints include an electric energy balance constraint, a climbing constraint, an operation power constraint, a state of charge constraint, an electrolysis cell operation constraint, a power transmission line transmission power constraint, a hydrogen energy balance constraint, a hydrogen storage tank constraint, and an electric-hydrogen balance unit constraint.

[0006] In one of the embodiments, the deviation settlement model is constructed based on the deviation amount of the electric-hydrogen balance unit and the balance energy price, comprising: obtaining the deviation amount according to the difference between the actual net injection power of the electric-hydrogen balance unit and the planned injection power of the electric-hydrogen balance unit; obtaining the balance energy price according to the expenditure caused by calling the standby adjustment capacity, the income caused by calling the standby adjustment capacity, and the adjustment energy balance; and taking the product of the deviation amount and the balance energy price as the deviation settlement model.

[0007] In one of the embodiments, the difference between the balancing energy price and the intraday market price index is greater than or equal to the maximum of a first value and a second value; the first value is a product of a preset weight and the intraday market price index, and the second value is a preset value.

[0008] In one of the embodiments, the balancing energy price is obtained according to the expenditure cost caused by calling the backup regulation capacity, the income caused by calling the backup regulation capacity, and the regulation energy balance, including: in the case that the deviation amount is greater than or equal to the deviation threshold, obtaining an initial balancing energy price according to the expenditure cost caused by calling the backup regulation capacity, the income caused by calling the backup regulation capacity, and the regulation energy balance; and taking the sum of the initial balancing energy price and the scarcity premium as the balancing energy price.

[0009] In one of the embodiments, the method further includes: obtaining an electrolyzer cost based on the operating power of the electrolyzer and the unit operating cost of the electrolyzer; obtaining a hydrogen storage tank cost based on the operating power of the hydrogen storage tank and the unit operating cost of the hydrogen storage tank; obtaining a fuel cell cost based on the operating power of the fuel cell and the unit operating cost of the fuel cell; and taking the electrolyzer cost, the hydrogen storage tank cost, and the fuel cell cost as the total cost of the hydrogen energy storage system.

[0010] In one of the embodiments, the method further includes: obtaining a hydrogen pipeline transportation cost based on the hydrogen transportation amount of the hydrogen pipeline and the unit transportation cost of the hydrogen pipeline; obtaining a trailer transportation cost based on the hydrogen transportation amount of the trailer and the unit transportation cost of the trailer; and taking the hydrogen pipeline transportation cost and the trailer transportation cost as the hydrogen transportation cost.

[0011] In a second aspect, the application also provides an electric-hydrogen collaborative system optimization configuration device, which comprises:

[0012] A first construction module is configured to construct a cost model based on the total cost of the generator set, the total cost of the regional power grid, the total cost of the hydrogen energy storage system, the hydrogen transportation cost, and the carbon emission cost;

[0013] A second construction module is configured to construct a deviation settlement model based on the deviation amount of the electric-hydrogen balancing unit and the balancing energy price;

[0014] A third construction module is configured to construct a target function based on the cost model and the deviation settlement model with the minimum cost as the target;

[0015] A solving module is configured to solve the target function based on a plurality of state operation constraints to obtain a configuration result of the electric-hydrogen collaborative system; the plurality of state operation constraints include the electric energy balance constraint, the climbing constraint, the operating power constraint, the state of charge constraint, the electrolyzer operation constraint, the power transmission line transmission power constraint, the hydrogen energy balance constraint, the hydrogen storage tank constraint, and the electric-hydrogen balancing unit constraint.

[0016] In one of the embodiments, the second construction module is specifically configured to obtain a deviation amount according to a difference between an actual net injection power of the electricity-hydrogen balancing unit and a planned injection power of the electricity-hydrogen balancing unit; obtain a balancing energy price according to an expenditure caused by calling the backup adjustment capacity, a benefit caused by calling the backup adjustment capacity, and an adjustment energy balance; and take a product of the deviation amount and the balancing energy price as the deviation settlement model.

[0017] In one of the embodiments, a difference between the balancing energy price and an intraday market price index is greater than or equal to a maximum value of a first value and a second value; the first value is a product of a preset weight and the intraday market price index, and the second value is a preset value.

[0018] In one of the embodiments, the second construction module is specifically configured to, in a case where the deviation amount is greater than or equal to a deviation threshold value, obtain an initial balancing energy price according to the expenditure caused by calling the backup adjustment capacity, the benefit caused by calling the backup adjustment capacity, and the adjustment energy balance; and take a sum of the initial balancing energy price and a scarcity additional fee as the balancing energy price.

[0019] In one of the embodiments, the first construction module is further configured to obtain an electrolyzer cost based on an operating power of the electrolyzer and a unit operating cost of the electrolyzer; obtain a hydrogen storage tank cost based on an operating power of the hydrogen storage tank and a unit operating cost of the hydrogen storage tank; obtain a fuel cell cost based on an operating power of the fuel cell and a unit operating cost of the fuel cell; and take the electrolyzer cost, the hydrogen storage tank cost, and the fuel cell cost as the total hydrogen storage and energy system cost.

[0020] In one of the embodiments, the first construction module is further configured to obtain a hydrogen pipeline transportation cost based on a hydrogen transportation amount of the hydrogen pipeline and a unit transportation cost of the hydrogen pipeline; obtain a trailer transportation cost based on a hydrogen transportation amount of the trailer and a unit transportation cost of the trailer; and take the hydrogen pipeline transportation cost and the trailer transportation cost as the hydrogen transportation cost.

[0021] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method in any one of the first aspect when executing the computer program.

[0022] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method in any one of the first aspect when executed by a processor.

[0023] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, and the computer program implements the steps of the method in any one of the first aspect when executed by a processor.

[0024] The power-hydrogen coordination system optimization configuration method, device, computer device, storage medium and program product optimize the configuration of the power-hydrogen coordination system based on the total cost of the generator set, the total cost of the regional power grid, the total cost of the hydrogen energy storage system, the hydrogen transportation cost and the carbon emission cost to construct a cost model; based on the deviation amount of the power-hydrogen balancing unit and the balancing energy price to construct a deviation settlement model; taking the minimum cost as the target, based on the cost model and the deviation settlement model to construct a target function; based on multiple state operation constraints to solve the target function to obtain the configuration result of the power-hydrogen coordination system; the multiple state operation constraints include the power balance constraint, the climbing constraint, the operation power constraint, the state of charge constraint, the electrolysis cell operation constraint, the power transmission line transmission power constraint, the hydrogen energy balance constraint, the hydrogen storage tank constraint and the power-hydrogen balancing unit constraint. In this way, by introducing the balancing energy price into the target function, the power-hydrogen equipment can be driven by the real-time price signal and independently adjust the power under the economic constraint, so that the reasonable configuration of the power-hydrogen coordination system can be realized. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without creative labor.

[0026] Figure 1 An application environment diagram of the power-hydrogen coordination system optimization configuration method in an embodiment;

[0027] Figure 2 A flowchart of the power-hydrogen coordination system optimization configuration method in an embodiment;

[0028] Figure 3 A structure block diagram of the power-hydrogen coordination system optimization configuration device in an embodiment;

[0029] Figure 4 An internal structure diagram of the computer device in an embodiment. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0031] It should be noted that the terms "first", "second", etc. used in the present application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "include" and "have" and any variations thereof used in the present application are intended to cover non-exclusive inclusion. The term "a plurality of" used in the present application refers to two or more. The term "and / or" used in the present application refers to one of the options or any combination of the options.

[0032] As an important support direction of global energy transformation, hydrogen energy is widely recognized as an important part of the future clean energy system due to its high energy density, renewable production path and zero carbon emission characteristics. With the large-scale grid connection of renewable energy such as wind power and photovoltaic power, the volatility and uncertainty of the power system have increased significantly, and traditional peak shaving and energy storage methods have been difficult to meet the demand of high proportion of new energy access. Hydrogen energy can form a time and space decoupling between energy production and consumption through water electrolysis, hydrogen storage and fuel cell power generation, and can provide long-time energy storage, peak shaving and multi-energy complementary capabilities for the power system. Therefore, the development of hydrogen energy is not only an important direction of low-carbon energy structure, but also a key way to improve the resilience and flexibility of the power system.

[0033] However, the system value of hydrogen energy can only be fully realized in the case of deep coupling with the power system. The coordinated operation of electricity and hydrogen can realize the bidirectional conversion between electricity and hydrogen, so that hydrogen energy can play a role in grid frequency regulation, peak shaving and consumption of surplus renewable power. However, in the environment of multi-regional and multi-agent power market, the operation optimization of the electricity-hydrogen system not only depends on the energy conversion efficiency of the equipment level, but also is influenced by the regional power balance constraint, market price fluctuation and balancing responsible party (BRP) settlement mechanism. Especially under the existing balancing market mechanism, if there is a lack of reasonable electricity-hydrogen coordinated planning and optimization method, the regulation potential of the electricity-hydrogen system will be difficult to effectively release. Therefore, it is of great research significance and engineering value to build an overall optimization model that can consider the operation characteristics of the electricity-hydrogen system and the constraints of the regional balancing unit, in order to realize the coordinated development of hydrogen energy and the power system and improve the economic efficiency and flexibility of the system.

[0034] The electricity-hydrogen coordinated system optimization configuration method provided by the embodiments of the present application can be applied to, for example Figure 1The application environment is shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data required by the server 104 to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. Among them, the terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers. The server 104 can be a stand-alone physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0035] In an exemplary embodiment, as shown, a method for optimizing the configuration of an electric-hydrogen collaborative system is provided. The method is applied to the terminal in Figure 2 for example, including the following steps 201 to 204. Among them: Figure 1

[0036] Step 201, based on the total cost of the generator set, the total cost of the regional power grid, the total cost of the hydrogen energy storage system, the hydrogen transportation cost and the carbon emission cost, a cost model is constructed.

[0037] The cost model is as follows:

[0038] (1)

[0039] Among them, is the total cost of each type of generator set; is the total cost of the regional power grid; is the total cost of the hydrogen energy storage system; is the hydrogen transportation cost; is the carbon emission cost.

[0040] (2)

[0041] Among them, is the total cost of each type of generator set in the period; is the initial investment cost of the newly added installed capacity in the period; is the technical operation cost in the period; is the newly added installed capacity of the nth technology in the region r in the period; is the unit fixed cost; is the net annual value coefficient; is the power generation power of the nth technology in the region r at the moment in the period; is the unit operation cost; The unit is hour.​

[0042] (3)

[0043] wherein, region the new construction capacity of the cross-region power transmission line; the fixed cost for the power transmission line construction unit; the net annual value coefficient.

[0044] (4)

[0045] wherein, , , are respectively the operating power of the electrolyzer, the operating power of the hydrogen storage tank, and the operating power of the fuel cell, , , , are respectively the unit operating cost of the electrolyzer, the unit operating cost of the hydrogen storage tank, and the unit operating cost of the fuel cell. In other words, the method further comprises: obtaining electrolyzer cost based on the operating power of the electrolyzer and the unit operating cost of the electrolyzer ; obtaining hydrogen storage tank cost based on the operating power of the hydrogen storage tank and the unit operating cost of the hydrogen storage tank ; obtaining fuel cell cost based on the operating power of the fuel cell and the unit operating cost of the fuel cell ; and taking the electrolyzer cost, the hydrogen storage tank cost, and the fuel cell cost as the total cost of the hydrogen storage system . is a coefficient.

[0046] hydrogen transportation cost includes hydrogen pipeline transportation cost and trailer transportation cost :

[0047] (5)

[0048] (6)

[0049] wherein, and are respectively the hydrogen transportation amount of the hydrogen pipeline and the hydrogen transportation amount of the trailer from region to region , and The unit transportation cost of the hydrogen pipeline and the unit transportation cost of the trailer, respectively. In other words, the method further comprises: obtaining a hydrogen pipeline transportation cost based on the hydrogen transportation amount of the hydrogen pipeline and the unit transportation cost of the hydrogen pipeline; obtaining a trailer transportation cost based on the hydrogen transportation amount of the trailer and the unit transportation cost of the trailer; and taking the hydrogen pipeline transportation cost and the trailer transportation cost as the hydrogen transportation cost.

[0050] Carbon emission cost The product of the unit carbon emission cost and the total carbon emission amount of the system, the total carbon emission amount of the system being the sum of the carbon emission amounts of the plurality of generator sets, and the carbon emission amount of each generator set being the product of the power generation power of the generator set and the carbon emission intensity of the generator set.

[0051] In step 202, a deviation settlement model is constructed based on the deviation amount of the electricity-hydrogen balancing unit and the balancing energy price.

[0052] The electricity-hydrogen balancing unit can not only absorb surplus power from surrounding microgrids to produce hydrogen, but also supply energy in the opposite direction when local power is in short supply, thereby realizing cross-regional energy interconnection.

[0053] In one possible implementation, the deviation amount is obtained according to the difference between the actual net injection power of the electricity-hydrogen balancing unit and the planned injection power of the electricity-hydrogen balancing unit; the balancing energy price is obtained according to the expenditure caused by calling the backup adjustment capacity, the income caused by calling the backup adjustment capacity, and the adjustment energy balance; and the product of the deviation amount and the balancing energy price is taken as the deviation settlement model.

[0054] The difference between the balancing energy price and the intraday market price index is greater than or equal to the maximum of a first value and a second value; the first value is the product of a preset weight and the intraday market price index, and the second value is a preset value.

[0055] In the case where the deviation amount is greater than or equal to the deviation threshold, the initial balancing energy price is obtained according to the expenditure caused by calling the backup adjustment capacity, the income caused by calling the backup adjustment capacity, and the adjustment energy balance; and the sum of the initial balancing energy price and the scarcity additional fee is taken as the balancing energy price.

[0056] In other words, the deviation amount of each electricity-hydrogen balancing unit b in the t th period (15 min) is defined as the difference between the actual net injection power and the planned injection power:

[0057] (7)

[0058] is the actual net injection power (unit: MWh) of the electricity-hydrogen balancing unit b in the t th period, is the planned injection power (unit: MWh) recorded in the final declaration plan submitted by the electricity-hydrogen balancing unit. The total system imbalance is the algebraic sum of the deviation amounts corresponding to all electricity-hydrogen balancing units:

[0059] (8)

[0060] According to the net deviation amount of the system and the balancing energy cost activated by the TSO (Transmission System Operator), the balancing energy price can be calculated by the following formula:

[0061] (9)

[0062] wherein, is the balancing energy price; is the expenditure cost caused by calling the standby regulation capacity per unit time; is the income caused by calling the standby regulation capacity per unit time; is the regulation energy balance, which is the difference between the positive standby regulation energy balance (more power generation capacity) and the negative standby regulation energy balance (more power consumption capacity).

[0063] In order to avoid arbitrage behavior in the market and reflect the supply and demand state of the system, the balancing energy price introduces a correction mechanism. In order to ensure that the balancing energy price does not fluctuate too much, the minimum price difference is defined:

[0064] (10)

[0065] wherein, is the intraday market price index, which ensures that there is a certain minimum price difference between the balancing energy price and the intraday electricity price; is the first amount; is the preset weight, which can be 0.25; is the second amount, which can be 10.

[0066] Scarce additional fee correction: when the system deviation is serious, an additional fee is added to prevent excessive fluctuations. When the system frequency modulation capacity reaches the critical value of 80% in the upward adjustment of the balancing energy, the scarce additional fee will be added to the balancing energy price:

[0067] (11)

[0068] This correction mechanism ensures that when the system imbalance is serious, the energy price will quickly reflect the scarcity of the market. It can be understood that in the case where the deviation amount is greater than or equal to the deviation threshold, the initial balancing energy price is , the equilibrium energy price is .

[0069] Based on the above pricing mechanism, the deviation cost of the electricity-hydrogen balancing unit b can be calculated by the following formula:

[0070] (12)

[0071] A closed-loop model including physical capabilities, cost structures, and market quotes at the electricity-hydrogen balancing unit level is formed, achieving economic optimization and fair settlement of the balanced energy market, and providing a mathematical basis for subsequent price response and optimization coupling of the electricity-hydrogen collaborative system.

[0072] In other words, based on the cost modeling principle of balancing the market, a mathematical model of real-time trading and deviation settlement is established. The final equilibrium energy cost that the electricity-hydrogen balancing unit should pay is obtained through the above correction.

[0073] Step 203, based on the cost model and the deviation settlement model, a target function is constructed with the goal of minimizing cost.

[0074] The overall goal is to minimize the total operating cost of the system over the entire cycle, including the power generation unit, the electricity-hydrogen system, the energy storage unit, and the imbalance cost (i.e., deviation cost) due to deviation, and the target function is as follows:

[0075] (13)

[0076] In this way, the production costs of electricity and hydrogen energy, the energy storage adjustment cost, and the imbalance cost due to system deviation are considered comprehensively, ensuring global economic optimization in the case of multi-energy collaboration.

[0077] Step 204, based on multiple state operation constraints, the target function is solved to obtain the configuration results of the electricity-hydrogen collaborative system; the multiple state operation constraints include power balance constraints, climbing constraints, operating power constraints, state of charge constraints, electrolyzer operation constraints, transmission line transmission power constraints, hydrogen balance constraints, hydrogen storage tank constraints, and electricity-hydrogen balancing unit constraints.

[0078] Power balance constraints: describe the relationship between various energy flows, including power generation, power transmission, energy storage, and loads, etc. Each term in the formula represents a different energy transmission and conversion process.

[0079] (14)

[0080] wherein represents the total power generation of all power sources in the region in the period The sum of moments; For the region External input power of internal transmission lines; This refers to the output power of the transmission line, where A collection of transmission lines; For the region Internal electrochemical energy storage Discharges continuously; Charge the electrochemical energy storage; For the region Internal electrolytic cell Power consumption at any time for Load power at any given time.

[0081] Each power supply is subject to ramping constraints:

[0082] (15)

[0083] in, and The maximum downlink and uplink ramp rates for each power source; This refers to the cumulative installed capacity of the generator sets; This represents the change in power of each power source per unit time.

[0084] Electrochemical energy storage is constrained by operating power, state of charge, ramp-up, and the requirement that the state of charge is equal at the beginning and end of the cycle.

[0085] Operating power constraints:

[0086] (16)

[0087] in, For real-time discharge power of electrochemical energy storage, Real-time charging power for electrochemical energy storage, It is the maximum value. The charge / discharge allocation factor at time (used to define the upper limit of charge and discharge power). It is the distribution coefficient of discharge power), which constrains the upper limit of charging and discharging power to ensure that it does not exceed the power capacity of the facility, and the charging and discharging power cannot be positive at the same time (that is, it cannot charge and discharge at the same time).

[0088] State of charge constraint: The change of state of charge over time is obtained by adding the charging energy to the previous state of charge and subtracting the discharging energy.

[0089] (17)

[0090] (18)

[0091] (19)

[0092] wherein, is the state of charge at time t, , is the charging and discharging energy at time t, is the charging and discharging efficiency, , is the maximum and minimum of the state of charge.

[0093] The electrolyzer operation constraints include power upper and lower limit constraints and ramping constraints:

[0094] (20)

[0095] (21)

[0096] (22)

[0097] (23)

[0098] (24)

[0099] wherein, and are the maximum and minimum power of the device; is the cumulative total installed capacity of the electrolyzer, is the device operating state variable, is the maximum value.

[0100] The power transmitted by the transmission line should meet the capacity limit, and the input and output power between regions should be balanced.

[0101] (25)

[0102] (26)

[0103] Hydrogen energy balance constraint: describes the "electricity-hydrogen-electricity" flow and inflow in the content of the electricity-hydrogen coordinated system, and contains "electricity-hydrogen" to meet the hydrogen energy demand within the system.

[0104] (27)

[0105] wherein, is the hydrogen energy input amount of the external hydrogen source; is the hydrogen energy output amount; is the green hydrogen demand; is the hydrogen production amount of the electrolyzer; is the hydrogen consumption amount of the fuel cell; and These represent the amount of hydrogen released and the amount of hydrogen added to the hydrogen storage tank, respectively.

[0106] Hydrogen storage tanks must meet hydrogen storage rate and state constraints.

[0107] (28)

[0108] (29)

[0109] (30)

[0110] in, for The hydrogen storage capacity of the hydrogen storage tank at any time; Loss rate; The efficiency of hydrogen storage and release in hydrogen storage tanks; and These are the upper and lower limits for hydrogen storage capacity; This represents the change in the amount of hydrogen stored in the hydrogen storage tank per unit time. and These represent the upper and lower limits of hydrogen storage rate.

[0111] Constraints of the electro-hydrogen balance unit:

[0112] The equilibrium energy price will serve as a market price signal for the regulation decisions of the electro-hydrogen system, guiding the dynamic adjustment of electrolyzers and fuel cells to achieve synergistic optimization of the power system and the hydrogen energy system. This paper combines the flexibility of electro-hydrogen equipment such as electrolyzers and fuel cells with market price signals to optimize the regulation capabilities of the electro-hydrogen system and the power market, and discusses the coupling mechanism between the electro-hydrogen synergistic system and the electro-hydrogen equilibrium unit.

[0113] The maximum frequency regulation capacity that each unit or resource entity in the balancing market can provide is defined as:

[0114] (31)

[0115] in, The balanced energy capacity that the unit can provide (in MW); The power ramp-up rate of the unit (in MW / min); Allowable response time (in minutes); and These represent the maximum and minimum output of the generator unit.

[0116] Frequency regulation capability is constrained by both the unit's dynamic characteristics (ramp rate) and static operating range. When a deviation occurs in the system, it can only be addressed by adjusting the frequency regulation capability. Resources within the scope can respond quickly, thereby influencing the formation of unbalanced prices.

[0117] The operation cost of the e-hydrogen system is composed of capacity cost and energy cost, which is expressed as:

[0118] (32)

[0119] where, is the capacity cost of the e-hydrogen equipment, is the variable cost, is the activation probability.

[0120] The capacity opportunity cost of the unit for providing balancing energy is defined as:

[0121] (33)

[0122] where, is the capacity cost of the unit for providing balancing energy (unit: CNY / MW), is the day-ahead market price (unit: CNY / MWh), is the unit variable cost of the unit (unit: CNY / MWh). When the variable cost of the unit is lower than the market electricity price, providing balancing energy means giving up part of the power generation profit, so its capacity cost is embodied as “opportunity cost”; when the variable cost of the unit is higher than the market electricity price, participating in the balancing market needs to compensate for the loss, so the capacity cost is embodied as “compensation cost”. This function is the basic composition of the balancing energy price.

[0123] The total expected cost of balancing energy can be expressed as:

[0124] (34)

[0125] where, is the total expected cost of the unit participating in the balancing market (unit: CNY / MWh), is the activation probability (value 0-1), i.e., the probability of the system calling balancing energy.

[0126] The system should preferentially activate balancing resources with lower total cost, and the optimal scheduling condition is:

[0127] (35)

[0128] where, , is the capacity cost of different units, , is the variable cost of the corresponding unit.

[0129] (36)

[0130] where, is the expected profit of the unit in the energy market (CNY / MW·h), is the balancing energy market price (CNY / MWh).

[0131] The optimal bidding function of the unit in the balancing capacity market can be expressed as:

[0132] (37)

[0133] where, is the optimal bid of the unit (in € / MW), is the capacity opportunity cost.

[0134] The activation priority of the electro-hydrogen device depends on the comprehensive consideration of its variable cost and activation probability:

[0135] (38)

[0136] When the electricity price is low, the electrolyzer preferentially absorbs excess power; when the electricity price is high, the fuel cell preferentially supplies power.

[0137] The electro-hydrogen device responds to system deviation and adjusts its output through market price signals to achieve the best economic benefit of balancing the market.

[0138] The balancing energy price is introduced as an exogenous signal to guide the real-time response of the electro-hydrogen system, and its action mechanism is as follows:

[0139]

[0140] This relationship achieves dynamic balance of energy flow driven by market price signals, making the electro-hydrogen collaborative system a flexible regulating device for the electro-hydrogen balancing unit. In the optimization process, the balancing energy price not only serves as a parameter for deviation settlement, but also dynamically affects the regulating constraints of the electro-hydrogen collaborative system output.

[0141] (39)

[0142] where, is the net deviation power of the system.

[0143] After the objective function is constructed and the constraint conditions are determined, the objective function is solved. It can be understood that the result obtained by solving is the configuration result of the electric hydrogen collaborative system. The configuration result includes planning, operation, and market deviation and settlement; wherein, the planning includes optimal new capacity of each technology, line expansion capacity, etc.; the operation includes optimal output of each type of power unit, electrolyzer power consumption / power state, fuel cell power generation / power consumption, hydrogen storage tank hydrogen charging / discharging, and operation curve of each type of unit; the market deviation and settlement include deviation amount, balance energy price, and deviation cost.

[0144] The solution can be to call IBM ILOG CPLEX12.9 in the MATLAB R2024a environment to solve the multi-stage (including mixed integer) optimization model. With the accuracy and robustness of the industrial-grade optimizer, more optimal and accurate operation plans and settlement evaluations can be obtained under 15-minute granularity and complex constraint conditions, thereby improving the solution efficiency, result reliability, and engineering feasibility.

[0145] Specifically, for the cost model, the model belongs to a large-scale mixed integer nonlinear programming (MINLP) structure, has multiple time scales, nonlinear coupling, and discrete start-stop characteristics. The solution adopts a hierarchical decomposition and rolling optimization method, which converts the model into a solvable mixed integer linear programming (MILP) structure through linearization and variable aggregation, and embeds a rolling optimization strategy in the time domain to realize real-time dynamic updating and convergence.

[0146] In summary, the electric hydrogen collaborative system configuration method of the present application is to solve the resource configuration and energy balance problem in the collaborative scheduling of power and hydrogen energy systems. An electric hydrogen balance unit operation optimization model is constructed with the electric hydrogen system as the core. The electric hydrogen balance unit has both power generation and load characteristics. By simultaneously scheduling conventional units, renewable energy, electrolyzers, fuel cells, energy storage devices, and load responses, dynamic collaboration of the power system and the hydrogen energy system is realized. The model minimizes the cost as the target, and optimizes the power generation output, electrolytic hydrogen production power, and energy storage charging and discharging power under 15-minute time granularity. At the same time, multiple constraint conditions such as power grid constraints, device climbing rate, start-stop constraints, energy storage and hydrogen storage conservation are considered. The electric hydrogen balance unit can absorb energy to produce hydrogen when there is excess power, and convert hydrogen energy to generate power when there is a power shortage, realizing integrated optimal operation of “source-grid-load-storage”.

[0147] To solve the real-time deviation settlement problem of the electricity-hydrogen balance unit, a transaction and settlement model of the electricity-hydrogen balance unit is established. The electricity-hydrogen balance unit not only participates in energy production and consumption, but also bears the regional balance responsibility. Its deviation is calculated by the difference between the actual net injection power and the declared plan. Based on the cost and income of the balance energy activated by the TSO, the unified balance energy price is calculated, which is used as the price signal for real-time settlement of the electricity-hydrogen balance unit. This mechanism enables the electricity-hydrogen unit to actively respond to supply and demand deviations in the market by adjusting the power of electrolytic cell energy absorption hydrogen production or fuel cell power generation to achieve economic energy balance. To prevent arbitrage and price distortion, the model introduces a minimum price difference constraint and a scarcity addition rule to correct the price in extreme conditions. Through this mechanism, the electricity-hydrogen system is economically integrated into the balance market system and becomes an independent balance unit with bidirectional transaction attributes.

[0148] To solve the interface problem between electricity-hydrogen coordination and electricity-hydrogen balance unit settlement, a coupling mechanism of electricity-hydrogen coordination and electricity-hydrogen balance unit is proposed. As an independently operable regional energy hub, the electricity-hydrogen balance unit can not only absorb surplus power from surrounding microgrids to produce hydrogen, but also supply energy in reverse when local power is in short supply, achieving cross-regional energy interconnection. The adjustment capacity of flexible devices such as electrolytic cells, fuel cells, and energy storage devices is coupled with the grid load, and the deviation is calculated by comparing the net injection of the electricity-hydrogen balance unit. The results of electricity-hydrogen coordinated operation optimization are combined with the real-time deviation settlement mechanism of the balance unit to ensure the consistency of "baseline + increment = actual". Based on the calculation of balance energy price, the deviation cost settlement of the electricity-hydrogen coordinated system is accurately performed to ensure the economic efficiency and stability of the system.

[0149] To achieve optimal operation of the system after coupling electricity-hydrogen coordination and regional balance unit, a multi-stage coordinated optimization-based overall operation model of the electricity-hydrogen balance unit is proposed. The model, under a unified objective function, coordinates generating units, energy storage, electrolytic cells, fuel cells, and interruptible loads to achieve economic optimization and power balance of the system. The objective function integrates operation cost, deviation cost, and standby activation cost for global optimization under fluctuating electricity prices and uncertainty. A rolling prediction and robust optimization combination solution strategy is adopted to enable the electricity-hydrogen balance unit to dynamically respond to market changes at multiple time scales. The electricity-hydrogen balance unit not only acts as an energy producer, but also participates in the market as a controllable load, interacts with surrounding balance units, and optimizes the economy, thereby building a replicable electricity-hydrogen coordinated regional balance unit system.

[0150] The above-mentioned hydrogen power coordination system optimization configuration method constructs a cost model based on the total cost of the generator set, the total cost of the regional power grid, the total cost of the hydrogen energy storage system, the hydrogen transportation cost and the carbon emission cost; constructs a deviation settlement model based on the deviation amount of the hydrogen power balancing unit and the balancing energy price; constructs a target function based on the cost model and the deviation settlement model with the minimum cost as the target; solves the target function based on multiple state operation constraints to obtain the configuration result of the hydrogen power coordination system; the multiple state operation constraints include power balance constraints, climbing constraints, operation power constraints, state of charge constraints, electrolyzer operation constraints, power transmission line transmission power constraints, hydrogen energy balance constraints, hydrogen storage tank constraints and hydrogen power balancing unit constraints. In this way, by introducing the balancing energy price into the target function, the hydrogen power equipment can be driven by the real-time price signal and independently adjust the power under economic constraints, so that the reasonable configuration of the hydrogen power coordination system can be realized.

[0151] In addition, the deep integration of the hydrogen power coordination system and the hydrogen power balancing unit market mechanism is realized at the economic level. The balancing mechanism of the traditional power system only relies on the one-way adjustment of the power supply side or the energy storage device, and the hydrogen power system is usually regarded as a load or an auxiliary link and cannot form a direct response to the market signal. However, by introducing the balancing energy price into the system optimization target function, the hydrogen power equipment can be driven by the real-time price signal and independently adjust the power under economic constraints. The electrolyzer actively absorbs surplus power to produce hydrogen during the price trough period, and the fuel cell generates reverse power to compensate for the power gap of the system during the high price period, forming an economic operation mode of "quantity guided by price and bidirectional interaction". This mechanism realizes the flexibility and economy of hydrogen energy load, and changes the hydrogen power system from a "passive participant" to an "active adjustment unit" of market regulation, significantly reducing the balancing cost and standby occupation rate of the system.

[0152] At the operation level, the application constructs a dynamic adjustment system with hydrogen power equipment as the core, breaking through the dependence of the traditional power system on frequency modulation resources. The electrolyzer and the fuel cell are regarded as switchable flexible units in the model, and their operating states are driven by the balancing energy price and the system deviation amount. Through power optimization and energy balance constraints in different operating stages, the hydrogen power system can respond to system fluctuations at the millisecond level, realizing multi-time scale energy conversion and redistribution. Compared with traditional energy storage methods, the hydrogen power system has stronger plasticity in response depth and duration, and can flexibly switch between long-term energy conversion and short-term frequency modulation. The model also introduces power rise rate, efficiency parameters and hydrogen storage capacity constraints to ensure the stability and operability of the system under frequent state switching, thereby improving the safety margin and flexible adjustment capability of the power grid operation.

[0153] In the optimization layer, the application adopts a collaborative solving method of double-layer decomposition and rolling prediction control to realize real-time economic optimization of the whole system. The upper-layer model takes global economy as the target, dynamically updates the balanced energy price and system deviation; the lower-layer model takes the output optimization of the electricity-hydrogen and energy storage units as the core, and makes rapid adjustment in the short time domain according to the upper-layer signal. The two layers form a closed loop iteration through the price signal and deviation feedback, and realize continuous optimization and dynamic convergence in each 15-minute rolling period. The solving structure can balance real-time and globality, and can maintain calculation stability and optimality in the complex scene of multi-energy coupling, nonlinear constraint and price fluctuation coexistence. Compared with the traditional static scheduling method, the application significantly improves the economy, flexibility and adaptability of system operation, and provides a feasible market operation mechanism for realizing power system balance under high proportion of new energy and hydrogen energy collaboration.

[0154] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or steps or stages in other steps. It can be understood that the steps in different embodiments can be freely combined as needed, and various non-contradictory schemes formed by combination are within the scope of protection of the application.

[0155] Based on the same inventive concept, the application also provides an electricity-hydrogen collaborative system optimization configuration device for implementing the above-mentioned electricity-hydrogen collaborative system optimization configuration method. The implementation scheme for solving problems provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more electricity-hydrogen collaborative system optimization configuration device embodiments provided below can refer to the limitations of the electricity-hydrogen collaborative system optimization configuration method in the above text, which will not be repeated here.

[0156] In one exemplary embodiment, as shown in Figure 3 An electricity-hydrogen collaborative system optimization configuration device is provided, and the electricity-hydrogen collaborative system optimization configuration device 300 includes a first construction module 301, a second construction module 302, a third construction module 303, and a solving module 304, wherein:

[0157] The first construction module 301 is configured to construct a cost model based on a total cost of a generator set, a total cost of a regional power grid, a total cost of a hydrogen energy storage system, a hydrogen transportation cost and a carbon emission cost.

[0158] The second construction module 302 is configured to construct a deviation settlement model based on a deviation amount of the electricity-hydrogen balancing unit and a balancing energy price.

[0159] The third construction module 303 is configured to construct a target function based on the cost model and the deviation settlement model with a minimum cost as an objective.

[0160] The solving module 304 is configured to solve the target function based on a plurality of state operation constraints to obtain a configuration result of the electricity-hydrogen collaborative system. The plurality of state operation constraints include an electricity balance constraint, a climbing constraint, an operation power constraint, a state of charge constraint, an electrolyzer operation constraint, a power transmission line transmission power constraint, a hydrogen energy balance constraint, a hydrogen storage tank constraint and an electricity-hydrogen balancing unit constraint.

[0161] In one of the embodiments, the second construction module 302 is specifically configured to obtain the deviation amount according to a difference between an actual net injection power of the electricity-hydrogen balancing unit and a planned injection power of the electricity-hydrogen balancing unit, and obtain the balancing energy price according to an expenditure cost caused by calling the backup adjustment capacity, a benefit caused by calling the backup adjustment capacity and an adjustment energy balance. The product of the deviation amount and the balancing energy price is taken as the deviation settlement model.

[0162] In one of the embodiments, a difference between the balancing energy price and an intraday market price index is greater than or equal to a maximum value of a first value and a second value. The first value is a product of a preset weight and the intraday market price index, and the second value is a preset value.

[0163] In one of the embodiments, the second construction module 302 is specifically configured to obtain an initial balancing energy price according to the expenditure cost caused by calling the backup adjustment capacity, the benefit caused by calling the backup adjustment capacity and the adjustment energy balance in a case where the deviation amount is greater than or equal to a deviation threshold value, and take a sum of the initial balancing energy price and a scarcity additional fee as the balancing energy price.

[0164] In one of the embodiments, the first construction module 301 is further configured to obtain an electrolyzer cost based on an operation power of the electrolyzer and a unit operation cost of the electrolyzer, obtain a hydrogen storage tank cost based on an operation power of the hydrogen storage tank and a unit operation cost of the hydrogen storage tank, and obtain a fuel cell cost based on an operation power of the fuel cell and a unit operation cost of the fuel cell. The electrolyzer cost, the hydrogen storage tank cost and the fuel cell cost are taken as the total cost of the hydrogen energy storage system.

[0165] In one of the embodiments, the first construction module 301 is further configured to obtain a hydrogen pipeline transportation cost based on the hydrogen transportation amount of the hydrogen pipeline and the unit transportation cost of the hydrogen pipeline, and obtain a trailer transportation cost based on the hydrogen transportation amount of the trailer and the unit transportation cost of the trailer; and take the hydrogen pipeline transportation cost and the trailer transportation cost as the hydrogen transportation cost.

[0166] The modules in the above-mentioned electric-hydrogen coordination system optimization configuration apparatus can be realized by software, hardware, or a combination thereof, in whole or in part. The modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0167] In one exemplary embodiment, a computer device, which can be a terminal, is provided, and an internal structure diagram of the computer device can be as shown in Figure 4 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals, and the wireless communication can be achieved through WIFI, mobile cellular network, near field communication (NFC), or other technologies. The computer program is executed by the processor to implement an electric-hydrogen coordination system optimization configuration method. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or a key, a trackball, or a touchpad arranged on the shell of the computer device, or an external keyboard, a touchpad, a mouse, or the like.

[0168] Those skilled in the art can understand that Figure 4 The structure shown in the above-mentioned embodiments is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. Specifically, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0169] In an example embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the method described in the above method embodiments when executing the computer program.

[0170] In an example embodiment, a computer readable storage medium is provided, storing a computer program, and the computer program implementing the steps of the method described in the above method embodiments when executed by a processor.

[0171] In an example embodiment, a computer program product is provided, comprising a computer program, and the computer program implementing the steps of the method described in the above method embodiments when executed by a processor.

[0172] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.

[0173] The technical features of the above embodiments can be combined in any manner. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not exist contradictions, they should be considered as the scope of the present application.

[0174] The above-described embodiments are merely illustrative of several embodiments of the present application, and the description is relatively specific and detailed, but should not be understood as a limitation on the scope of the patent. It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are all within the scope of the present application. Therefore, the scope of protection of the present application should be subject to the appended claims.

Claims

1. A method for optimizing the configuration of an electro-hydrogen synergistic system, characterized in that, The method includes: A cost model is constructed based on the total cost of generator sets, the total cost of regional power grids, the total cost of hydrogen energy storage systems, hydrogen transportation costs, and carbon emission costs. A deviation settlement model is constructed based on the deviation amount and balance energy price of the electro-hydrogen balance unit; With the goal of minimizing cost, an objective function is constructed based on the cost model and the deviation settlement model; The objective function is solved based on multiple state operation constraints to obtain the configuration result of the electro-hydrogen co-operation system; the multiple state operation constraints include power balance constraints, ramping constraints, operating power constraints, state of charge constraints, electrolyzer operation constraints, transmission line power constraints, hydrogen energy balance constraints, hydrogen storage tank constraints, and electro-hydrogen balance unit constraints.

2. The method according to claim 1, characterized in that, The deviation settlement model, constructed based on the deviation amount and balance energy price of the electro-hydrogen balance unit, includes: The deviation is obtained based on the difference between the actual net injection power of the electro-hydrogen balance unit and the planned injection power of the electro-hydrogen balance unit. The balanced energy price is obtained based on the expenses incurred in calling up the backup regulation capacity, the revenue generated from calling up the backup regulation capacity, and the remaining regulation energy. The product of the deviation and the equilibrium energy price is used as the deviation settlement model.

3. The method according to claim 2, characterized in that, The difference between the balanced energy price and the intraday market price index is greater than or equal to the maximum of the first value and the second value; wherein, the first value is the product of a preset weight and the intraday market price index, and the second value is a preset value.

4. The method according to claim 2 or 3, characterized in that, The process of obtaining the balanced energy price based on the expenses incurred in calling up backup regulation capacity, the revenue generated from calling up backup regulation capacity, and the remaining regulation energy includes: When the deviation is greater than or equal to the deviation threshold, the initial equilibrium energy price is obtained based on the expenses incurred in calling up the backup regulation capacity, the benefits incurred in calling up the backup regulation capacity, and the regulation energy surplus. The sum of the initial equilibrium energy price and the scarcity surcharge is used as the equilibrium energy price.

5. The method according to claim 1, characterized in that, The method further includes: The cost of an electrolyzer is obtained based on its operating power and unit operating cost. The cost of the hydrogen storage tank is obtained based on its operating power and unit operating cost. The cost of a fuel cell is obtained based on its operating power and unit operating cost. The cost of the electrolyzer, the cost of the hydrogen storage tank, and the cost of the fuel cell are taken as the total cost of the hydrogen energy storage system.

6. The method according to claim 1, characterized in that, The method further includes: Based on the hydrogen transport capacity of the hydrogen pipeline and the unit transportation cost of the hydrogen pipeline, the transportation cost of the hydrogen pipeline is obtained. The trailer transportation cost is obtained based on the hydrogen transport capacity of the trailer and the unit transportation cost of the trailer. The hydrogen transportation cost is calculated using the cost of the hydrogen pipeline transportation and the cost of the trailer transportation.

7. An optimized configuration device for an electro-hydrogen synergistic system, characterized in that, The device includes: The first building module is used to build a cost model based on the total cost of generator sets, the total cost of regional power grids, the total cost of hydrogen energy storage systems, hydrogen transportation costs, and carbon emission costs. The second building module is used to construct a deviation settlement model based on the deviation amount and balance energy price of the electro-hydrogen balance unit; The third construction module is used to construct an objective function based on the cost model and the deviation settlement model with the goal of minimizing cost. The solution module is used to solve the objective function based on multiple state operation constraints to obtain the configuration result of the electro-hydrogen co-operation system. The multiple state operation constraints include power balance constraints, ramping constraints, operating power constraints, state of charge constraints, electrolyzer operation constraints, transmission line power constraints, hydrogen energy balance constraints, hydrogen storage tank constraints, and electro-hydrogen balance unit constraints.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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