A method, system, device and medium for configuring an offshore wind power hydrogen production device

Abstract

The present application relates to the offshore wind power technical field, especially to a kind of offshore wind power's electric hydrogen production device configuration method, system, equipment and medium, comprising: based on the multiple physical field process of electrolytic cell, establish the temperature characteristic model of electric hydrogen production device;With the sum of investment cost and operating cost of system minimum as optimization goal, consider electric hydrogen production device temperature characteristic model and power system operation constraint condition, establish electric hydrogen production device configuration optimization model;Solving electric hydrogen production device configuration optimization model, obtain the optimal configuration method of electric hydrogen production device.Compared with prior art, the present application comprehensively considers the influence of temperature on the performance of electric hydrogen production device and the selection of electric hydrogen production device model, obtains the optimal configuration scheme of electric hydrogen production device using the established electric hydrogen production device configuration optimization model, improves the economy of offshore wind power hydrogen production system, and guarantees the reliability of system.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of offshore wind power technology, and in particular to a configuration method, system, device and medium for an offshore wind power hydrogen production device. BACKGROUND

[0002] With large-scale exploitation and overuse of fossil energy such as coal and oil, environmental pollution, energy shortage and greenhouse effect problems have arisen, and the global energy focus has shifted to clean energy. Renewable energy, represented by wind power, has developed rapidly. Offshore wind power has become an important development direction in the field of new energy in recent years due to its abundant wind resources and non-land resource occupation. However, due to the randomness, intermittency and anti-peaking characteristics of offshore wind power, large-scale offshore wind power grid connection may affect the safe and stable operation of the power system, causing power quality and power supply stability problems. Offshore wind power hydrogen production is one of the effective means to solve the above problems. Hydrogen energy has high energy density, can be stored and transported, has high conversion efficiency, wide application range and is green and pollution-free. It can be used for seasonal energy storage. The introduction of water electrolysis hydrogen production technology on offshore wind power platforms not only can smooth the output fluctuation of offshore wind power, promote new energy consumption, and improve system operation reliability, but also can avoid the construction of expensive deep-sea grid connection channels, to a certain extent, improve the economy of offshore wind power grid connection, and become an important measure to help achieve the goal of "carbon peak and carbon neutral". Therefore, it is of great significance to study the planning method of offshore wind power hydrogen production system, reasonably configure the water electrolysis hydrogen production device, promote large-scale offshore wind power consumption, and improve the economy of the system.

[0003] The existing offshore wind power hydrogen production system planning method mainly aims at efficient water electrolysis hydrogen production reaction and high-purity hydrogen, limits the electrolyzer power, and when the offshore wind power output is insufficient, purchases electricity from the power grid to assist the electrolyzer for hydrogen production. At the same time, according to the system operation data of the whole year, the capacity of the hydrogen production device is planned under the condition of ensuring the optimal economy of the offshore wind power hydrogen production system. However, this traditional method has the following defects:

[0004] 1) In the traditional planning, the hydrogen production device generally uses a fixed energy conversion coefficient to describe the relationship between the electric power and the hydrogen production rate, ignoring the various physical and chemical processes existing in the electrolyzer, especially the influence of temperature on its performance.

[0005] 2) The traditional configuration research considers that the capacity is continuously changed, but the industrial hydrogen production device is divided into different types according to the hydrogen production rate. The traditional configuration method ignores the selection of the hydrogen production device type, which may lead to the inconsistency between the configuration scheme and the actual industry. SUMMARY

[0006] The purpose of this invention is to provide a method, system, equipment, and medium for configuring an electro-hydrogen production device for offshore wind power, taking into account the influence of temperature on the performance of the electro-hydrogen production device, and improving the economic efficiency of power systems that incorporate offshore wind power hydrogen production.

[0007] To address the above technical problems, this invention provides a method, system, equipment, and medium for configuring an electro-hydrogen production device for offshore wind power.

[0008] In a first aspect, the present invention provides a method for configuring an electro-hydrogen production device for offshore wind power, the method comprising the following steps:

[0009] A temperature characteristic model of an electrolytic hydrogen production device was established based on the multiphysics process of an electrolyzer.

[0010] With the goal of minimizing the sum of system investment cost and operating cost, and considering the temperature characteristic model of the electric hydrogen production unit and the operating constraints of the power system, an optimization model for the configuration of the electric hydrogen production unit is established.

[0011] Solve the configuration optimization model of the electric hydrogen production unit to obtain the optimal configuration method of the electric hydrogen production unit.

[0012] In a further implementation scheme, the investment cost includes the investment cost of the electro-hydrogen production unit and the investment cost of its associated hydrogen storage unit, and the formula for calculating the investment cost is as follows:

[0013] C inv =CRF*(C PtH.inv +C HS.inv )

[0014]

[0015] In the formula, C inv C represents the cost of investment; CRF represents the rate of return on investment; C PtH.inv Indicates the total investment cost of an electro-hydrogen production unit; C HS.inv N represents the total investment cost of the hydrogen storage device; γ represents the discount rate, taken as 5%; year The lifespan of the electro-hydrogen production unit is represented by 20 years; N h This represents the planned quantity of hydrogen production from offshore wind power at location h; This represents the unit price of the i-th type of electro-hydrogen production device, in RMB / unit; This indicates the planned number of type i electro-hydrogen production units at location h; O HS.inv This indicates the unit price per kilogram of hydrogen storage equipment; This represents the planned capacity of the hydrogen storage device at location h.

[0016] In further embodiments, the operation cost includes power system operation cost and hydrogen energy operation cost, and the operation cost is calculated by the following formula:

[0017]

[0018] wherein C op represents operation cost; N s represents the total number of selected typical scenarios; represents the power system operation cost of the s-th typical scenario; represents the hydrogen energy operation cost of scenario s; p s represents the scenario probability corresponding to the typical scenario s; T represents the number of operation periods, which is 24; N g represents the number of coal-fired units in the system; represents the fuel cost function of unit g; P g.t.s represents the active power output of unit g in scenario s at time t; represents the start-up cost of unit g in scenario s at time t; represents the shut-down cost of unit g in scenario s at time t; N w represents the number of offshore wind power in the system; k cur represents the wind curtailment penalty coefficient; represents the maximum available active power of offshore wind power w in scenario s at time t; P w.t.s represents the actual active power of offshore wind power w in scenario s at time t; k hs represents the storage cost of hydrogen storage device, which is in RMB / kg; SOH h.t.s represents the total mass of hydrogen in the hydrogen storage device at location h in scenario s at time t; represents the selling price of hydrogen, which is in RMB / kg; represents the mass of hydrogen provided by the hydrogen storage device at location h in scenario s at time t to the hydrogen load.

[0019] In further embodiments, the temperature characteristic model of the electrolytic hydrogen generator is as follows:

[0020]

[0021] wherein, represents linearization of the relationship between the electric power, current and temperature of the electrolytic cell; s represents the s-th typical scenario; t represents the t-th time; h represents location h; i represents the i-th type of electrolytic hydrogen generator; represents the electric power of the electrolytic cell; represents the temperature of the electrolytic cell; represents the current of the electrolytic cell; represents time interval; C p.i represents the heat capacity of the electrolyte in the electrolytic cell; Uth Indicates the thermal neutral voltage; This indicates the electrical power consumed by the cooling system; Indicates the cooling efficiency of the cooling system; T represents the heat dissipation coefficient; en Indicates ambient temperature; Indicates the power output of the electro-hydrogen production unit; Indicates the mass of hydrogen produced by the electro-hydrogen production device; Indicates the number of electrolytic cells connected in series; The molar mass of hydrogen is represented by F; F represents the Faraday constant. represents the planning variable for the i-th type of electro-hydrogen production device at location h, with values ​​of 0 and 1; Used to represent the electrolytic cell power, cooling system power, electrolytic cell temperature, and electrolytic cell current, respectively; This represents the maximum planned number of type i electro-hydrogen production devices.

[0022] In a further implementation, the power system operating constraints include power balance constraints and power flow constraints, wherein the power balance constraints are:

[0023]

[0024] In the formula, N represents the power of the electro-hydrogen production device at scene s, time t, and location h; load P represents the number of loads within the system. l.t.s This represents the power demand of scenario s, time t, and load l;

[0025] The power flow constraints are:

[0026] f km,t =b km (θ k,t -θ m,t )

[0027] |f km,t |≤f lim

[0028] In the formula, f km,t b represents the power of the transmission line (k, m) at time t; km θ represents the branch impedance of the transmission line (k, m); k,t θ represents the phase angle of the node voltage at node k at time t. m,t f represents the phase angle of the node voltage at node m at time t; lim This indicates the maximum transmission capacity of the branch.

[0029] In a further embodiment, the constraint condition of the configuration optimization model of the electric hydrogen production device further comprises: a coal-fired unit operation constraint condition, specifically:

[0030] Active power upper and lower limit constraint:

[0031]

[0032] Upper / lower ramping constraint:

[0033]

[0034] Maximum power constraint at start / stop time:

[0035]

[0036] Minimum shutdown time constraint:

[0037]

[0038] Minimum startup time constraint:

[0039]

[0040] In the formula, u g.t.s s represents the scenario, t represents the time, and g represents the start / stop state of the coal-fired unit; P g Pmin represents the minimum active power of the coal-fired unit g; Pmax represents the maximum active power of the coal-fired unit g; Pup represents the maximum upward ramping power of the coal-fired unit g; Pdown represents the maximum downward ramping power of the coal-fired unit g; Pstart represents the maximum startup power of the coal-fired unit g; Pstop represents the maximum shutdown power of the coal-fired unit g; and φ represents a constant; ST Tshutdown represents the minimum shutdown time; SD Tstart represents the minimum startup time.

[0041] In a further embodiment, the constraint condition of the configuration optimization model of the electric hydrogen production device further comprises: a hydrogen storage device operation constraint condition, specifically:

[0042]

[0043] In the formula, Qh represents the planned capacity of the hydrogen storage device at position h; Vmax represents the maximum hydrogen storage rate.

[0044] In a second aspect, the present application provides a system for configuring an offshore wind power electrolytic hydrogen production device, the system comprising:

[0045] a characteristic model establishing module configured to establish a temperature characteristic model of the offshore wind power electrolytic hydrogen production device based on a multi-physical field process of the electrolytic cell;

[0046] an optimization model establishing module configured to establish an optimization model for configuring the offshore wind power electrolytic hydrogen production device by taking the minimum sum of investment cost and operation cost of the system as an optimization objective, and considering the temperature characteristic model of the offshore wind power electrolytic hydrogen production device and operation constraints of the power system;

[0047] an optimization processing module configured to solve the optimization model for configuring the offshore wind power electrolytic hydrogen production device to obtain an optimal configuration method of the offshore wind power electrolytic hydrogen production device.

[0048] In a third aspect, the present application further provides a computer device comprising a processor and a memory, the processor being connected to the memory, the memory being configured to store a computer program, and the processor being configured to execute the computer program stored in the memory to enable the computer device to perform the steps of the above method.

[0049] In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored therein, the computer program being executable by a processor to perform the steps of the above method.

[0050] The present application provides a method, system, device and medium for configuring an offshore wind power electrolytic hydrogen production device, the method comprising establishing a temperature characteristic model of the offshore wind power electrolytic hydrogen production device by taking into account the temperature influence based on a multi-physical field process of the electrolytic cell, and using the model as a constraint condition of an optimization problem, solving an optimization model for configuring the offshore wind power electrolytic hydrogen production device, and selecting an offshore wind power electrolytic hydrogen production device configuration scheme with the minimum objective function. Compared with the prior art, the offshore wind power electrolytic hydrogen production device configuration method provided by the present application is more in line with the actual operation conditions of the offshore wind power electrolytic hydrogen production device, and fully considers the differences between the offshore wind power electrolytic hydrogen production devices when configuring the capacity, so that the optimal configuration scheme obtained is more in line with the current industrial situation and has stronger feasibility. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 FIG. 1 is a flowchart of a method for configuring an offshore wind power electrolytic hydrogen production device according to an embodiment of the present application;

[0052] Figure 2 FIG. 2 is a block diagram of a system for configuring an offshore wind power electrolytic hydrogen production device according to an embodiment of the present application;

[0053] Figure 3 FIG. 3 is a structural diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0054] The embodiments of the present application are described below in detail with reference to the accompanying drawings. The embodiments are given only for the purpose of illustration and should not be understood as limiting the present application. The accompanying drawings are used for reference and illustration only and should not be construed as limiting the scope of patent protection of the present application, because many changes can be made to the present application without departing from the spirit and scope thereof.

[0055] Reference Figure 1 The embodiments of the present application provide a configuration method of an offshore wind power hydrogen production device, as shown in the figure, the method comprises the following steps: Figure 1

[0056] S1. Based on the multi-physical field process of the electrolytic cell, a temperature characteristic model of the hydrogen production device is established.

[0057] In the present embodiment, the power-current-temperature relationship model between the electric power P t ele , the current and the temperature T t ele of the electrolytic cell is as follows:

[0058]

[0059] In the formula, n cell represents the number of series electrolytic units; represents the electrolytic cell voltage; E rev represents the reversible voltage of the electrolytic water reaction; R ohm represents the electrolytic cell resistance; represents the polarization overvoltage of the electrolytic cell; R represents the ideal gas constant; Z represents the number of electrons transferred in the electrolytic water reaction; F represents the Faraday constant; j0 represents the exchange current density; and A represents the electrode plate area.

[0060] In addition, in order to describe the dynamic change process of the electrolytic cell temperature with time, the thermal dynamic model of the electrolytic cell is established as follows:

[0061]

[0062] Q reaction = P ele -U th I ele

[0063] Q cooling = P cooling ·η cooling

[0064] Q loss = k ex (T-T en )

[0065] In the formula, C​p represents the heat capacity of the electrolyte in the electrolyzer; Q reaction represents the heat generated by the water electrolysis reaction; U th represents the heat neutral voltage determined by the heat value of hydrogen; Q cooling represents the refrigeration capacity of the cooling system; P cooling represents the electric power consumed by the cooling system; η cooling represents the refrigeration efficiency of the cooling system; Q loss represents the environmental heat dissipation; k ex represents the heat dissipation coefficient; T en represents the ambient temperature.

[0066] The differential equation is differentiated to obtain the following relationship:

[0067]

[0068] In the formula, represents the time interval, which is 1 h.

[0069] The power of the electric hydrogen production device is the sum of the power of the electrolyzer and the power of the cooling system, and the hydrogen production is proportional to the current of the electrolyzer. At the same time, a series of constraints need to be met according to the operation of the device:

[0070] P t PtH = P t ele + P t cooling

[0071]

[0072] In the formula, P t PtH represents the power of the electric hydrogen production device; represents the mass of hydrogen produced by the electric hydrogen production device; represents the molar mass of hydrogen; and respectively represent the minimum and maximum values of the power of the electrolyzer; and respectively represent the minimum and maximum values of the temperature of the electrolyzer; and represent the minimum and maximum values of the current of the electrolyzer; and represent the minimum and maximum values of the power of the cooling system.

[0073] Therefore, the temperature characteristic model of the electric hydrogen production device can be obtained by the above calculation formula, and the temperature characteristic model of the electric hydrogen production device is used as a constraint condition of the optimization problem. In the present embodiment, the temperature characteristic model of the electric hydrogen production device is specifically:

[0074]

[0075] wherein, represents linearization of the power-current-temperature relationship model of the electrolyzer; s represents the s-th typical scenario; t represents the t-th time; h represents the position h; i represents the i-th type of hydrogen production device; represents the power of the electrolyzer; represents the temperature of the electrolyzer; represents the current of the electrolyzer; represents the time interval; C p.i represents the heat capacity of the electrolyte in the electrolyzer; U th represents the thermoneutral voltage; represents the power consumed by the cooling system; represents the refrigeration efficiency of the cooling system; represents the heat dissipation coefficient; T en represents the ambient temperature; represents the power of the hydrogen production device; represents the mass of hydrogen produced by the hydrogen production device; represents the number of series-connected electrolysis units; represents the molar mass of hydrogen; F represents the Faraday constant; represents the planning variable of the i-th type of hydrogen production device at position h, which is 0 or 1; represents the minimum value of the power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum value of the power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum planning number of the i-th type of hydrogen production device.

[0076] S2. An electrolytic hydrogen production device configuration optimization model is established with the sum of the investment cost and the operation cost of the system as the optimization objective, considering the temperature characteristic model of the electrolytic hydrogen production device and the operation constraint condition of the power system.

[0077] The electrolytic hydrogen production device configuration optimization model constructed in this embodiment includes an objective function and constraint conditions, wherein the objective function J of the optimization model is the sum of the minimum investment cost C inv and the operation cost C op of the system, wherein the investment cost is converted by the equal annual value method, and the electrolytic hydrogen production device configuration optimization model J is specifically:

[0078] J = C inv + C op

[0079] In an embodiment, the investment cost C inv The investment cost C inv The calculation formula is as follows:

[0080] C inv = CRF * (C PtH.inv + C HS.inv )

[0081]

[0082]

[0083] In the formula, C inv represents the investment cost; CRF represents the return on investment rate; C PtH.inv represents the total investment cost of the hydrogen production device; C HS.inv represents the total investment cost of the hydrogen storage device; γ represents the discount rate, which is 5%; N year represents the life cycle of the hydrogen production device, which is 20 years; N h represents the planned quantity of offshore wind power hydrogen production at the location h; represents the unit price of the i-th hydrogen production device, in RMB per unit; represents the planned quantity of the i-th hydrogen production device at the location h; O HS.inv represents the unit price of the hydrogen storage device, in RMB per kg; represents the planned capacity of the hydrogen storage device at the location h.

[0084] In an embodiment, the operation cost includes the power system operation cost and the hydrogen energy operation cost. In order to calculate the operation status and the corresponding cost of the system throughout the year, the optimization model in the embodiment selects a plurality of typical days s, i.e., typical scenarios s, representing different scenarios such as four seasons (spring, summer, autumn, and winter) or twelve months. Each typical day s corresponds to a typical scenario probability p s represents the proportion in the whole year, i.e., the frequency of occurrence. In the embodiment, the calculation formula of the operation cost is as follows:

[0085]

[0086] In the formula, C op represents the operation cost; N s represents the total number of selected typical scenarios; represents the power system operation cost of the s-th typical scenario; represents the hydrogen energy operation cost of the scenario s; p srepresenting the scenario probability corresponding to a typical scenario s; T represents the number of time periods, taking 24; N g representing the number of coal-fired units in the system; representing the fuel cost function of unit g; P g.t.s representing the active power output of unit g at s scenario and t time; representing the start-up cost of unit g at s scenario and t time; representing the shutdown cost of unit g at s scenario and t time; N w representing the number of offshore wind power in the system; k cur representing the wind curtailment penalty coefficient; representing the maximum available active power of offshore wind power w at s scenario and t time, obtained by prediction; P w.t.s representing the actual active power of offshore wind power w at s scenario and t time; k hs representing the storage cost of hydrogen storage device, unit: RMB / kg; SOH h.t.s representing the total mass of hydrogen in the hydrogen storage device at s scenario, t time and location h; representing the selling price of hydrogen, unit: RMB / kg; representing the hydrogen mass provided by the hydrogen storage device at s scenario, t time and location h to the hydrogen load.

[0087] In this embodiment, the constraint conditions of the electric hydrogen production device configuration optimization model specifically include the following constraint conditions:

[0088] (1) Power balance constraint condition:

[0089] This model uses a direct current flow model of the power system, so it does not consider reactive power balance and line loss, and only considers active power balance, wherein the power balance constraint is:

[0090]

[0091] In the formula, representing the power of the electric hydrogen production device at s scenario, t time and location h; N load representing the number of loads in the system; P l.t.s representing the power demand of load l at s scenario and t time.

[0092] (2) Power flow constraint condition:

[0093] This model uses a direct current flow model to describe the power flow of the power system, which expresses the relationship between node voltage phase angle and branch active power based on branch impedance. The power flow of transmission line (k, m) can be obtained from the node phase angle, and the expression of the power flow constraint is:

[0094] f km,t =b km(θ k,t -θ m,t )

[0095] where the power of transmission line is limited by thermal stability of the line:

[0096] |f km,t |≤f lim

[0097] where f kmt represents the power of transmission line (k, m) at time t; b km represents the branch impedance of transmission line (k, m); θ k,t represents the phase angle of node voltage of node k at time t; θ m,t represents the phase angle of node voltage of node m at time t; f lim represents the maximum transmission capacity of branch.

[0098] (3) Operation constraints of coal-fired units:

[0099] Upper and lower limits of active power:

[0100]

[0101] Upper / lower ramping constraints:

[0102]

[0103] Maximum power constraints at start-up / shut-down time:

[0104]

[0105] Minimum shut-down time constraints:

[0106]

[0107] Minimum start-up time constraints:

[0108]

[0109] where u g.t.s represents the start-up / shut-down state of coal-fired unit g at scenario s and time t; P g represents the minimum active power of coal-fired unit g; represents the maximum active power of coal-fired unit g; represents the maximum upward ramping power of coal-fired unit g; represents the maximum downward ramping power of coal-fired unit g; represents the maximum start-up power of coal-fired unit g; represents the maximum shut-down power of coal-fired unit g; and φ represents a constant, which is a larger constant; TST represents the minimum downtime, i.e. the minimum time required for the coal-fired unit to start up again after shutdown; T SD represents the minimum startup time, i.e. the minimum time required for the coal-fired unit to shut down again after startup.

[0110] (4) Temperature characteristic model constraint condition of the electric hydrogen production device

[0111] The electric power-current-temperature relationship model in the embodiment is a nonlinear model, and for a scenario s, at a time t, at a position h, the linearized model of the electric hydrogen production device is as follows:

[0112]

[0113] In the formula, the function represents linearization processing of the electric power, current and temperature relationship of the electrolyzer, for reflecting the relationship among the power, temperature and current of the electrolyzer; s represents the s-th typical scenario; t represents the t-th time; h represents the position h; i represents the i-th type of electric hydrogen production device; represents the electric power of the electrolyzer; represents the temperature of the electrolyzer; represents the current of the electrolyzer; represents the time interval; C p.i represents the heat capacity of the electrolyte in the electrolyzer; U th represents the heat neutral voltage; represents the electric power consumed by the cooling system; represents the refrigeration efficiency of the cooling system; represents the heat dissipation coefficient; T en represents the ambient temperature; represents the power of the electric hydrogen production device; represents the hydrogen mass produced by the electric hydrogen production device; represents the number of series electrolysis units; represents the molar mass of hydrogen; F represents the Faraday constant; represents a variable indicating whether the i-th type of electric hydrogen production device is planned at the position h, and the value is 0 or 1; represents the minimum value of the electric power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the electric power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum value of the electric power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum planning number of the i-th type of electric hydrogen production device.

[0114] (5) Operating constraint condition of the hydrogen storage device:

[0115]

[0116] In the formula, represents the planned capacity of the hydrogen storage device at position h, that is, the maximum mass of hydrogen that can be stored in the hydrogen storage device at position h; represents the maximum storage rate of hydrogen.

[0117] S3. Solving the configuration optimization model of the electrolytic hydrogen device to obtain the optimal configuration method of the electrolytic hydrogen device.

[0118] In this embodiment, the configuration optimization model of the electrolytic hydrogen device is a mixed integer linear programming (MILP) which can be solved by commercial solving software such as Cplex and Gurobi, etc. By comparing the objective functions of different configuration schemes, that is, the sum of the annual value of the investment cost and the annual operation cost, the configuration scheme with the minimum objective function is selected as the optimal configuration scheme, so as to improve the economy of the offshore wind power hydrogen production system.

[0119] The method provided by the embodiment of the present application is based on the prior art, and establishes a temperature characteristic model of the electrolytic hydrogen device considering the temperature influence. Meanwhile, the minimum sum of the system investment cost and the operation cost is taken as the optimization target, the temperature characteristic model of the electrolytic hydrogen device and the operation constraint of the power system are considered, the configuration optimization model of the electrolytic hydrogen device suitable for the offshore wind power hydrogen production is established, and the optimal configuration scheme of the electrolytic hydrogen device can be obtained by solving the optimization problem, so as to improve the economy of the offshore wind power hydrogen production system.

[0120] It should be noted that the size of the serial number of each process does not mean the execution order, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

[0121] In one embodiment, as shown in Figure 2 The system provided by the embodiment of the present application comprises:

[0122] The characteristic model establishing module 101 is configured to establish a temperature characteristic model of the electrolytic hydrogen device based on the multi-physical field process of the electrolytic cell.

[0123] The optimization model establishing module 102 is configured to take the minimum sum of the investment cost and the operation cost of the system as the optimization target, consider the temperature characteristic model of the electrolytic hydrogen device and the operation constraint of the power system, and establish a configuration optimization model of the electrolytic hydrogen device.

[0124] The optimization processing module 103 is configured to solve the configuration optimization model of the electrolytic hydrogen device to obtain the optimal configuration method of the electrolytic hydrogen device.

[0125] The specific limitation of the offshore wind power electric hydrogen production device configuration system can refer to the limitation of the offshore wind power electric hydrogen production device configuration method, which will not be repeated here. Those skilled in the art can understand that the various modules and steps described in combination with the embodiments disclosed in the present application can be realized in hardware, software or a combination of both. Whether the functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered beyond the scope of the present application.

[0126] The offshore wind power electric hydrogen production device configuration system provided by the embodiments of the present application includes a characteristic model establishing module, an optimization model establishing module and an optimization processing module. The characteristic model establishing module establishes an electric hydrogen production device characteristic model considering the temperature influence on the basis of the prior art. The optimization model establishing module establishes an electric hydrogen production device configuration optimization model suitable for offshore wind power hydrogen production with the minimum sum of system investment cost and operation cost as the optimization target and considering the operation constraints of the electric hydrogen production device and the power system. The optimization processing module obtains the optimal configuration scheme of the electric hydrogen production device by solving the optimization problem. Compared with the prior art, the embodiments of the present application can fully consider the influence of temperature on the performance of the electric hydrogen production device, and because the industrial-grade electric hydrogen production device is divided into different models according to the hydrogen production rate, the embodiments of the present application consider the different electric hydrogen production devices in capacity configuration, so that the optimal configuration scheme obtained is more in line with the actual operation conditions of the electric hydrogen production device and more in line with the industrial status quo.

[0127] Figure 3 The computer device provided by the embodiments of the present application includes a memory, a processor and a transceiver, which are connected through a bus. The memory is used to store a set of computer program instructions and data, and can transmit the stored data to the processor. The processor can execute the program instructions stored in the memory to execute the steps of the above method.

[0128] The memory can include a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. The processor can be a central processing unit, a microprocessor, an application specific integrated circuit, a programmable logic device or a combination thereof. By way of example and not limitation, the programmable logic device can be a complex programmable logic device, a field programmable logic gate array, a general array logic or any combination thereof.

[0129] In addition, the memory can be a physically independent unit, or can be integrated with the processor.

[0130] Those skilled in the art can understand that, Figure 3The structure shown in the figure 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. A specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have the same arrangement of components.

[0131] In an embodiment, the present embodiment provides a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor, implements the steps of the above method.

[0132] The offshore wind power electric hydrogen production device configuration method, system, equipment and medium provided by the embodiment of the present application, the electric hydrogen production device configuration optimization model established by the offshore wind power electric hydrogen production device configuration method is based on the electric hydrogen production device temperature characteristic model fused with temperature influence, and simultaneously considers the operation constraints of the power system. Compared with the prior art, the optimization model provided by the embodiment is more in line with the actual operation condition of the electric hydrogen production device, and has stronger adaptability and feasibility.

[0133] In the above embodiment, all or part of the method can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the method can be implemented 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, all or part of the flow or function described in the embodiment of the present application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wire (such as coaxial cable, optical fiber, digital subscriber line) or wireless (such as infrared, wireless, microwave, etc.). The computer readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media. The available media can be magnetic media (for example, floppy disk, hard disk, magnetic tape), optical media (for example, DVD) or semiconductor media (for example, SSD) and the like.

[0134] Those skilled in the art can understand that all or part of the flow of the above-mentioned embodiment method can be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer readable storage medium. When the computer program is executed, it can include the flow of the above-mentioned embodiment of each method.

[0135] The above embodiments only express several preferred embodiments of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation to the patent scope of the application. It should be pointed out that, for ordinary skilled in the art, several improvements and replacements can be made without departing from the technical principles of the present application, and these improvements and replacements should also be considered as the protection scope of the present application. Therefore, the protection scope of the present application patent should be subject to the protection scope of the claims.

Claims

1. A method for configuring an electro-hydrogen production device for offshore wind power, characterized in that, The method comprises the following steps: A temperature characteristic model of the hydrogen production device is established based on a multi-physical field process of the electrolytic cell; An optimization model of the hydrogen production device configuration is established by taking the minimum sum of the investment cost and the operation cost of the system as an optimization objective, considering the temperature characteristic model of the hydrogen production device and operation constraints of the power system; The optimization model of the hydrogen production device configuration is solved to obtain an optimal configuration method of the hydrogen production device; The temperature characteristic model of the hydrogen production device is: wherein, represents linearization of the relationship between the electrical power, current and temperature of the electrolyzer; s represents the s-th typical scenario; t represents the t-th time instant; h represents the position h; i represents the i-th type of electrochemical hydrogen generation device; represents the electrical power of the electrolyzer; represents the temperature of the electrolyzer; represents the current of the electrolyzer; Δt represents the time interval; C p.i represents the heat capacity of the electrolyte in the electrolyzer; U th represents the thermoneutral voltage; represents the electrical power consumed by the cooling system; represents the refrigeration efficiency of the cooling system; represents the heat dissipation coefficient; T en represents the ambient temperature; represents the power of the electrochemical hydrogen generation device; represents the mass of hydrogen generated by the electrochemical hydrogen generation device; represents the number of series-connected electrolytic cells; represents the molar mass of hydrogen; F represents the Faraday constant; represents the planning variable of the i-th type of electrochemical hydrogen generation device at position h, which takes the value of 0 or 1; represents the minimum value of the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum value of the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum planning number of the i-th type of electrochemical hydrogen generation device.

2. The method of claim 1, wherein: The investment cost includes the investment cost of the hydrogen production device and the investment cost of the hydrogen storage device matched with the hydrogen production device, and a calculation formula of the investment cost is: C inv = CRF * (C PtH.inv + C HS.inv ) wherein C inv represents the investment cost; CRF represents the rate of return on investment; C PtH.inv represents the total investment cost of the hydrogen production device; C HS.inv represents the total investment cost of the hydrogen storage device; γ represents the discount rate, which is 5%; N year represents the life cycle of the hydrogen production device, which is 20 years; N h represents the planned quantity of offshore wind-to-hydrogen at position h; represents the unit price of the i-th hydrogen production device, in RMB per unit; represents the planned quantity of the i-th hydrogen production device at position h; O HS.inv represents the unit price of the hydrogen storage device, in RMB per kilogram; represents the planned capacity of the hydrogen storage device at position h.

3. The method of claim 1, wherein: The operation cost includes the operation cost of the power system and the operation cost of the hydrogen energy, and a calculation formula of the operation cost is: where C op represents the operation cost; N s represents the total number of selected typical scenarios; represents the power system operation cost of the s-th typical scenario; represents the hydrogen energy operation cost of the scenario s; p s represents the scenario probability corresponding to the typical scenario s; T represents the number of runtime periods, which is 24; N g represents the number of coal-fired units in the system; represents the fuel cost function of unit g; P g.t.s represents the active power output of unit g at scenario s and time t; represents the start-up cost of unit g at scenario s and time t; represents the shut-down cost of unit g at scenario s and time t; N w represents the number of offshore wind farms in the system; k cur represents the wind curtailment penalty coefficient; represents the maximum available active power of offshore wind farm w at scenario s and time t; P w.t.s represents the actual active power of offshore wind farm w at scenario s and time t; k hs represents the storage cost of the hydrogen storage device, with the unit being RMB / kg; SOH h.t.s represents the total mass of hydrogen in the hydrogen storage device at scenario s and time t at location h; represents the selling price of hydrogen, with the unit being RMB / kg; represents the mass of hydrogen provided by the hydrogen storage device at scenario s and time t at location h to the hydrogen load.

4. The method of claim 1, wherein: The operation constraints of the power system include power balance constraints and power flow constraints, wherein the power balance constraints are: wherein Pshst, h represents the power of the electrolytic hydrogen generator at the s scenario, t time, and location h; N load N represents the number of loads within the system; P l.t.s Pshst, l represents the power demand of the load l at the s scenario, t time. The power flow constraints are: f km,t = b km (θ k,t - θ m,t ) |f km,t |≤f lim where f km,t represents the power of transmission line (k, m) at time t; b km represents the branch impedance of transmission line (k, m); θ k,t represents the phase angle of node voltage of node k at time t; θ m,t represents the phase angle of node voltage of node m at time t; f lim represents the maximum transmission capacity of branch.

5. The configuration method for an electro-hydrogen production device for offshore wind power as described in claim 1, characterized in that, The operation constraints of the hydrogen production device configuration further include operation constraints of the coal-fired generating unit, and the operation constraints of the coal-fired generating unit are specifically: Active power output upper and lower limit constraints: Up / down ramping constraints: Maximum power constraints at start-up / shut-down time: Minimum shut-down time constraints: Minimum start-up time constraints: In the formula, u g.t.s represents the start-stop state of the coal-fired generating unit g at s scenario and t time; P g represents the minimum active power of the coal-fired generating unit g; represents the maximum active power of the coal-fired generating unit g; represents the maximum up-ramp power of the coal-fired generating unit g; represents the maximum down-ramp power of the coal-fired generating unit g; represents the maximum start-up power of the coal-fired generating unit g; represents the maximum shutdown power of the coal-fired generating unit g; φ represents a constant; T ST represents the minimum shutdown time; T SD represents the minimum start-up time; P g.t.s represents the active power of the unit g at s scenario and t time.

6. The method of claim 1, wherein the offshore wind power hydrogen production device is configured to produce hydrogen by electrolysis of water. The operation constraints of the hydrogen production device configuration further include operation constraints of the hydrogen storage device, and the operation constraints of the hydrogen storage device are specifically: wherein, represents the planned capacity of the hydrogen storage device at location h; represents the maximum storage rate of hydrogen; SOH h.t.s represents the total mass of hydrogen in the hydrogen storage device at location h at time t in scenario s; represents the mass of hydrogen produced by the electrolytic hydrogen generation device; represents the mass of hydrogen provided by the hydrogen storage device to the hydrogen load at location h at time t in scenario s.

7. A system for configuring an electro-hydrogen production device for offshore wind power, characterized in that, The system comprises: A characteristic model establishing module configured to establish a temperature characteristic model of the hydrogen production device based on a multi-physical field process of the electrolytic cell; An optimization model establishing module configured to establish an optimization model of the hydrogen production device configuration by taking the minimum sum of the investment cost and the operation cost of the system as an optimization objective, considering the temperature characteristic model of the hydrogen production device and operation constraints of the power system; An optimization processing module configured to solve the optimization model of the hydrogen production device configuration to obtain an optimal configuration method of the hydrogen production device; The temperature characteristic model of the hydrogen production device is: In the formula, represents the linearization of the relationship between the electrical power, current and temperature of the electrolyzer; s represents the s-th typical scenario; t represents the t-th time instant; h represents the position h; i represents the i-th type of electrochemical hydrogen generation device; represents the electrical power of the electrolyzer; represents the temperature of the electrolyzer; represents the current of the electrolyzer; Δt represents the time interval; C p.i represents the heat capacity of the electrolyte in the electrolyzer; U th represents the thermoneutral voltage; represents the electrical power consumed by the cooling system; represents the refrigeration efficiency of the cooling system; represents the heat dissipation coefficient; T en represents the ambient temperature; represents the power of the electrochemical hydrogen generation device; represents the mass of hydrogen generated by the electrochemical hydrogen generation device; represents the number of series-connected electrolysis units; represents the molar mass of hydrogen; F represents the Faraday constant; represents the planning variable of the i-th type of electrochemical hydrogen generation device at position h, which takes the value of 0 or 1; represents the minimum value of the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum value of the electrical power of the electrolyzer, the power of the cooling system, the temperature of the electrolyzer and the current of the electrolyzer, respectively; represents the maximum planning number of the i-th type of electrochemical hydrogen generation device.

8. A computer device, comprising: The computer device comprises a processor and a memory, the processor is connected with the memory, the memory is used for storing a computer program, and the processor is used for executing the computer program stored in the memory to enable the computer device to execute the method in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, and when the computer program is executed, the method in any one of claims 1 to 6 is implemented.

Images