Method, device and equipment for determining operation scheduling plan of new energy hydrogen production system

Abstract

The invention relates to a method, a device and equipment for determining an operation scheduling plan of a new energy hydrogen production system. The new energy hydrogen production system comprises a plurality of modules, and the plurality of modules comprise at least two electrolytic cell modules. The method for determining the operation scheduling plan of the new energy hydrogen production system comprises the steps that mathematical models corresponding to a plurality of modules of the new energy hydrogen production system are generated, and at least two electrolytic cell modules correspond to the mathematical models respectively. And determining an operation scheduling objective function according to the mathematical model. And determining operation scheduling constraint conditions according to the mathematical model. And determining an operation scheduling plan corresponding to the new energy hydrogen production system according to the operation scheduling objective function and the operation scheduling constraint condition. The mathematical model of the electrolytic cell module comprises a hydrogen production amount model, and the hydrogen production amount model describes the relationship between the input electric power and the hydrogen production amount of the electrolytic cell module in each operation state; the operation state comprises a working state, a cold standby state and a hot standby state.

Description

Technical Field

[0001] The present application relates to the field of hydrogen production from renewable energy sources, and in particular to a method, device, equipment, medium and program product for determining an operation scheduling plan for a hydrogen production system from renewable energy sources. Background Art

[0002] New energy hydrogen production refers to a technology that uses renewable energy to produce hydrogen, such as the technology of using electricity generated by wind and photovoltaics to produce hydrogen through electrolysis.

[0003] New energy hydrogen production systems usually include new energy power generation units and electrolyzers. The electrolyzer uses the electricity generated by the new energy power generation unit to produce hydrogen. In order to solve the problem of source-load staggered time and peak load caused by the volatility and intermittency of the new energy power generation unit, the new energy hydrogen production system often also includes an energy storage unit. The energy storage unit stores electricity when the new energy power generation unit generates too much electricity, and releases electricity to power the electrolyzer when the new energy power generation unit generates less electricity.

[0004] Wind, solar and hydrogen storage optimization scheduling is an important part of the energy management of the hydrogen production system. By formulating a power generation and consumption scheduling plan for the new energy hydrogen production system, the operation of the new energy power generation unit, electrolyzer and energy storage unit is coordinated and controlled, thereby improving the economy and flexibility of the hydrogen production system operation.

[0005] In the prior art, a new energy hydrogen production system often has multiple electrolyzers connected in parallel to form an array and put into operation. Therefore, when formulating a power generation and consumption operation scheduling plan for a new energy hydrogen production system, the prior art usually treats each electrolyzer in the new energy hydrogen production system as a whole to formulate an overall operation scheduling plan for the electrolyzer.

[0006] However, the inventors have found that the operation scheduling plan formulated for each electrolyzer as a whole in the prior art is not sufficiently refined. Moreover, since the operation scheduling plan is formulated for each electrolyzer as a whole, the formulated operation scheduling plan lacks flexibility. For example, when the new energy hydrogen production system includes five electrolyzers, when the new energy power generation is insufficient and the energy storage is insufficient, and the energy storage and power generation can satisfy one of the electrolyzers to continue working, the operation scheduling plan formulated by the prior art may be to stop the operation of the electrolyzer as a whole, which may cause each electrolyzer to stop operating, resulting in reduced economic benefits and low flexibility. Summary of the invention

[0007] The present application aims to provide a method, device and equipment for determining an operation scheduling plan for a new energy hydrogen production system.

[0008] According to one aspect of the present application, a method for determining an operation scheduling plan of a new energy hydrogen production system is proposed. The new energy hydrogen production system includes multiple modules, and the multiple modules include at least two electrolyzer modules. The method for determining the operation scheduling plan includes generating mathematical models corresponding to each of the multiple modules of the new energy hydrogen production system. According to the mathematical model, the operation scheduling objective function is determined; according to the mathematical model, the operation scheduling constraints are determined. According to the operation scheduling objective function and the operation scheduling constraints, the operation scheduling plan corresponding to the new energy hydrogen production system is determined. At least two electrolyzer modules correspond to their own mathematical models. The mathematical model of the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state; the operating state includes a working state, a cold standby state, and a hot standby state.

[0009] According to one aspect of the present application, a device for determining a scheduling plan for a new energy hydrogen production system is proposed, and the device includes a model generation module and a calculation module.

[0010] The model generation module is used to generate mathematical models corresponding to each module. Among them, at least two electrolyzer modules correspond to their own mathematical models. The calculation module is used to determine the operation scheduling objective function according to the mathematical model. The calculation module is also used to determine the operation scheduling constraints according to the mathematical model. The calculation module is also used to determine the operation scheduling plan corresponding to the new energy hydrogen production system according to the scheduling objective function and the scheduling constraints. The mathematical model of the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state; the operating state includes the working state, the cold standby state and the hot standby state.

[0011] According to another aspect of the present application, an electronic device is proposed, which includes: one or more processors; a storage device for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0012] According to another aspect of the present application, a computer-readable medium is provided, on which a computer program is stored. When the program is executed by a processor, the method described above is implemented.

[0013] According to another aspect of the present application, a computer program product is provided. The computer program product includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the above method.

[0014] Beneficial Effects

[0015] The method for determining the operation scheduling plan of the new energy hydrogen production system provided in the embodiment of the present application generates mathematical models corresponding to each module, especially separately models each electrolyzer module, and obtains mathematical models corresponding to each electrolyzer module. The mathematical models corresponding to each module are used to determine the operation scheduling objective function and the operation scheduling constraints, and the operation scheduling plan is determined according to the operation scheduling objective function and the operation scheduling constraints.

[0016] This approach is more refined than the prior art approach of formulating a scheduling plan for each electrolytic cell module as a whole, thereby making the operation scheduling plan arranged according to the embodiment of the present application more economical and flexible. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A flow chart of a method for determining an operation scheduling plan for a new energy hydrogen production system;

[0019] Figure 2 for Figure 1 Schematic diagram of the process of step S102;

[0020] Figure 3 for Figure 1 Schematic diagram of the process of step S103;

[0021] Figure 4 This is an example diagram of wind and solar power forecast output data in an embodiment of the present application;

[0022] Figure 5 is an example diagram of a power generation scheduling plan determined by an embodiment of the present application;

[0023] Figure 6 is an example diagram of a charge and discharge scheduling plan determined by an embodiment of the present application;

[0024] Figure 7 is an example diagram of an electrolytic cell operation state switching plan determined in an embodiment of the present application;

[0025] Figure 8 is an example diagram of a power scheduling plan for an electrolyzer module determined in an embodiment of the present application;

[0026] Fig. 9 It is a block diagram of a device for determining an operation scheduling plan of a new energy hydrogen production system;

[0027] Fig.10 It is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0029] The described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of these specific details, or other modes, components, materials, devices, etc. may be adopted. In these cases, known structures, methods, devices, implementations, materials or operations will not be shown or described in detail.

[0030] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0031] The terms "first", "second" and the like in the specification and claims of this application and the above drawings are used to distinguish different objects rather than to describe a specific order.

[0032] The following is a clear and complete description of the technical solution of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0033] In one aspect, an embodiment of the present application provides a method for determining an operation scheduling plan of a new energy hydrogen production system. The new energy hydrogen production system includes a plurality of modules, and the plurality of modules include at least two electrolyzer modules.

[0034] Exemplarily, the new energy hydrogen production system may include a photovoltaic power generation module, a wind power generation module, an energy storage module and at least two electrolyzer modules. The photovoltaic power generation module is an array composed of multiple photovoltaic power generation units, and the wind power generation module is an array composed of multiple wind power generation units.

[0035] Figure 1 A flow chart of the method for determining the operation scheduling plan of the new energy hydrogen production system. Figure 1 The operation scheduling plan determination method includes step S101, step S102, step S103 and step S104. The operation scheduling plan determination method provided in the present application can be executed by an electronic device.

[0036] In step S101, the electronic device generates mathematical models corresponding to multiple modules of the new energy hydrogen production system.

[0037] The at least two electrolytic cell modules correspond to respective mathematical models.

[0038] Exemplarily, in step S101, when the new energy hydrogen production system includes a photovoltaic power generation module, a wind power generation module, an energy storage module and at least two electrolyzer modules, the electronic device generates a mathematical model corresponding to the photovoltaic power generation module, a mathematical model corresponding to the wind power generation module, a mathematical model corresponding to the energy storage module and a hydrogen production model corresponding to each electrolyzer module.

[0039] The mathematical model corresponding to the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state.

[0040] Exemplarily, the operating status of the electrolyzer module includes a working status, a hot standby status, and a cold standby status.

[0041] Under working conditions, the hydrogen production of the electrolyzer module increases with the increase of input electrical power.

[0042] In the hot standby state, the electrolyzer module does not produce hydrogen, but needs to consume higher electrical power to maintain the temperature and pressure of the electrolyzer in order to quickly switch to the working state.

[0043] In the cold standby state, the electrolyzer module does not produce hydrogen and only consumes relatively low power to maintain the power consumption of the control unit and antifreeze system of the electrolyzer module. When the electrolyzer module switches from the cold standby state to other operating states, the switching waiting time is usually 30 minutes to 60 minutes.

[0044] Since the electrolyzer module does not produce hydrogen in the hot standby state, but requires a large standby power consumption to maintain the cell temperature and pressure of the electrolyzer module, and the time interval for the electrolyzer module to switch from the hot standby state to the operating state is short, therefore, in the process of formulating operation scheduling plans in the prior art, the impact of the hot standby state of the electrolyzer module on the scheduling plan is usually ignored, and only the operating state and cold standby state of the electrolyzer module are considered.

[0045] However, the inventors have discovered that the prior art ignores the hot standby state of the electrolyzer module to determine the operation scheduling plan, which cannot fit the actual production process. For example: when the power generated by the power supply side (wind, light, and storage) meets the hot standby power of the electrolyzer, the prior art will believe that the electrolyzer has the ability to produce hydrogen, and thus formulate a wind, light, and storage operation scheduling plan that meets the hot standby power of the electrolyzer. But the actual situation is that the electrolyzer does not have the ability to produce hydrogen in the hot standby state. If production is carried out according to the plan, the system will consume more electricity to maintain the hot standby state of the electrolyzer, and will not generate hydrogen production benefits, resulting in unnecessary waste of electricity. This situation is particularly obvious when weather conditions are poor and wind and solar output is insufficient. For example, for a long period of time, when the power generation power on the power supply side is basically equivalent to the hot standby power of the electrolyzer but does not reach the power required by the working state, the plan will still require each power generation unit to provide electricity to meet the hot standby power of the electrolyzer, resulting in a waste of electricity when no hydrogen is actually produced. At the same time, due to weather changes and fluctuations in wind and solar output, the electrolyzer may be frequently started and shut down, further increasing the start-stop cost. In addition, the power of the energy storage battery in the hot standby state is greater than that in the cold standby state, resulting in greater fluctuations in the energy storage charging and discharging power, reducing the battery life, and also affecting the economic benefits of the system.

[0046] The hydrogen production model of the electrolyzer module of the embodiment of the present application takes into account the working state, hot standby state and cold standby state of the electrolyzer module, and describes the relationship between the input electric power and the hydrogen production of the electrolyzer module under different operating states, which can effectively avoid the occurrence of the above situation, orderly guide the electrolyzer to switch between the working state, cold standby state and hot standby state, and reasonably and timely change the continuous hot standby state to the cold standby state. For example, in the case where the long-term available power can only meet the hot standby power of the electrolyzer but cannot meet the hydrogen production power, the embodiment of the present application can comprehensively consider the cost to control the electrolyzer to switch to the cold standby state, and the electrolyzer does not need to be maintained in the hot standby state for a long time, thereby reducing the electric power consumed when the electrolyzer maintains the hot standby state. And in this case, the present application can also store the electric energy generated by power generation in the energy storage battery, and release it when it is allowed to enter the working state, so as to obtain real hydrogen production benefits.

[0047] Optionally, the hydrogen production model may include a relationship between the hydrogen production and input power of the electrolyzer module when the operating state of the electrolyzer module is the hot standby state: The input power of the electrolyzer module is is the hydrogen production of the i-th electrolyzer module at the t-th scheduling time; is the input power of the i-th electrolyzer module at the t-th scheduling time; P i eh,hb is the hot standby power of the i-th electrolyzer module, which is a constant value.

[0048] The scheduling period can be divided into multiple scheduling time periods according to the preset scheduling time interval, and the starting time of each scheduling time period is a scheduling time. For example, if the scheduling period is 00:00-24:00 and the preset scheduling time interval is 1h, then 00:00-01:00 is a scheduling time period, 00:00 is the first scheduling time; 01:00-02:00 is a scheduling time period, 01:00 is the second scheduling time; 02:00-03:00 is a scheduling time period, 02:00 is the third scheduling time... t is the sequence number corresponding to each scheduling time.

[0049] When the electrolyzer module is in the working state, the relationship between the hydrogen production amount and the input power of the electrolyzer module is:

[0050] When the electrolyzer module is in cold standby mode, the relationship between the hydrogen production and input power of the electrolyzer module is: The input power of the electrolyzer module is P i eh,cb is the cold standby power of the i-th electrolyzer module, which is a constant value.

[0051] It is worth mentioning that It is obtained by linearly fitting the hydrogen production of the electrolyzer based on the hydrogen production of the electrolyzer module using different input electrical powers when the electrolyzer module is in working condition.

[0052] Exemplarily, when the new energy hydrogen production system includes a wind power generation module and a photovoltaic power generation module, in step S101, the electronic device may generate a mathematical model of the wind power generation module and a mathematical model of the photovoltaic power generation module. The mathematical model of the wind power generation module may specifically be a model describing the relationship between the actual power supply power and the rated power of the wind power generation module (e.g., the following formula 1). The mathematical model of the photovoltaic power generation module may specifically be a model describing the relationship between the actual power supply power and the rated power of the photovoltaic power generation module (e.g., the following formula 2).

[0053] 0≤P t wd ≤P t wd,rate (Formula 1)

[0054] 0≤P t pv ≤P t pv,rate (Formula 2)

[0055] Among them, P t w,rate , P t w are the rated power and actual power of the wind power generation module at the tth scheduling moment; P t pv,rate , P t pv are the rated power and actual power of the photovoltaic power generation module at the tth scheduling moment, respectively.

[0056] Exemplarily, when the new energy hydrogen production system includes an energy storage module, in step S101, the electronic device generates a mathematical model corresponding to the energy storage module. The mathematical model corresponding to the energy storage module may specifically be a model describing the relationship between the power of the energy storage module and the charge and discharge power.

[0057] Optionally, the mathematical model of the energy storage module may specifically be the following formula 3.

[0058]

[0059] is the amount of electricity stored in the energy storage module at the tth scheduling moment; P is the amount of electricity stored in the energy storage module at the t-1th scheduling moment; t es,c is the charging power of the energy storage module at the tth scheduling time; η c is the charging efficiency of the energy storage module; P t es,d is the discharge power of the energy storage module at the tth scheduling moment; η d is the discharge efficiency of the energy storage module. Δt is the preset scheduling time interval, which is a preset value used to describe the time interval between two adjacent scheduling moments. For example, 1h.

[0060] In step S102, the electronic device determines an operation scheduling objective function according to a mathematical model.

[0061] According to an example embodiment, in step S102, the operation scheduling objective function is set according to the optimization goal. For example, in the embodiment of the present application, the optimization goal of the new energy hydrogen production system is to maximize the hydrogen production benefit of the system and minimize the system operation cost. Based on this optimization goal, the electronic device can calculate the hydrogen production benefit formula and the system operation cost formula of the new energy hydrogen production system, and then the electronic device can determine the operation scheduling objective function according to the hydrogen production benefit and the system operation cost of the system.

[0062] In step S103, the electronic device determines operation scheduling constraints according to the mathematical model.

[0063] According to an example embodiment, the operation scheduling constraint condition is a condition that the new energy hydrogen production system should meet for normal operation. For example, in the case where the new energy hydrogen production system includes a photovoltaic power generation module, a wind power generation module, an energy storage module, and various electrolyzer modules, the operation scheduling constraint condition may include: the sum of the input power of each electrolyzer module and the charging power of the energy storage module at any time during the operation of the system is not greater than the sum of the power generation power of the wind power generation module, the power generation power of the photovoltaic power generation module, and the discharge power of the energy storage module.

[0064] In step S104, the electronic device determines an operation scheduling plan corresponding to the new energy hydrogen production system according to the operation scheduling objective function and the operation scheduling constraint conditions.

[0065] According to an example embodiment, after the electronic device determines the operation scheduling objective function and the operation scheduling constraint condition, the operation scheduling objective function and the operation scheduling constraint condition can be used to solve and obtain an operation scheduling plan.

[0066] In step S104, the electronic device may determine the operation schedule using a mixed integer linear programming algorithm. The mixed integer linear programming algorithm is an algorithm that uses linear equations and inequalities as constraints, combines integer variable restrictions, and processes through optimization techniques to find the optimal solution.

[0067] The method for determining the operation scheduling plan of the new energy hydrogen production system provided in the embodiment of the present application generates mathematical models corresponding to each module, especially separately models each electrolyzer module, and obtains mathematical models corresponding to each electrolyzer module. The mathematical models corresponding to each module are used to determine the operation scheduling objective function and the operation scheduling constraints, and the operation scheduling plan is determined according to the operation scheduling objective function and the operation scheduling constraints.

[0068] This approach is more refined than the prior art approach of formulating a scheduling plan for each electrolytic cell module as a whole, thereby making the operation scheduling plan arranged according to the embodiment of the present application more economical and flexible.

[0069] Moreover, in the embodiment of the present application, the hydrogen production model corresponding to the electrolyzer module takes into account the impact of the working state, cold standby state and hot standby state of the electrolyzer on the input electric power and hydrogen production, so that the operation scheduling plan solved in this way can reduce the waste of electric energy and improve the hydrogen production efficiency of the system.

[0070] According to some embodiments, the hydrogen production model corresponding to the electrolyzer module may specifically be the following formula 4.

[0071]

[0072] in, is the hydrogen production of the i-th electrolyzer module at the t-th scheduling time; is the input power of the i-th electrolyzer module at the t-th scheduling time; S i,t is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is a hot standby state; P i eh,hb is the hot standby power of the i-th electrolyzer module; I i,t is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is in the cold standby state; P i eh,cb is the cold standby power of the i-th electrolyzer module; L i,t is the parameter representing the working state of the i-th electrolyzer module at the t-th scheduling moment.

[0073] L i,t , S i,t ,I i,t They are the parameters representing the working state, hot standby state and cold standby state of the i-th electrolyzer module at the t-th scheduling moment. The values ​​of each parameter represent the operating state of the electrolyzer. The following table 1 shows the corresponding relationship between the value of the parameter and the actual physical meaning. Please refer to the following table 1.

[0074] Table 1

[0075]

[0076] For example, for the electrolytic cell module a1, when the operation state of the current period is the working state, the L corresponding to the electrolytic cell module a1 is i,t The value is 1, corresponding to S i,t The value is 0, the corresponding I i,t The value is 0. In addition, by substituting the parameter values ​​corresponding to each parameter into the above formula 4, the hydrogen production model corresponding to the electrolyzer module a1 can be obtained as follows:

[0077] According to some embodiments, reference Figure 2In the above step S102, the electronic device determines the operation scheduling objective function according to the mathematical model, which may specifically include step S1021, step S1022 and step S1023.

[0078] In step S1021, the electronic device determines a system hydrogen production benefit model according to the hydrogen production model corresponding to each electrolyzer module.

[0079] According to an example embodiment, the system hydrogen production benefit model is a model that describes the hydrogen production benefits jointly generated by various electrolyzer modules in the new energy hydrogen production system.

[0080] Optionally, the system hydrogen production benefit model may be the following formula 5.

[0081]

[0082] Among them, C inc is the system hydrogen production efficiency, k is the hydrogen production efficiency coefficient, is the hydrogen production of the i-th electrolyzer module at the t-th scheduling time.

[0083] According to the exemplary embodiment, the hydrogen production benefit coefficient is the hydrogen production benefit generated by each unit of hydrogen production, which is a preset value. It is worth noting that the hydrogen production benefit is the direct benefit that hydrogen can generate, without considering the cost of hydrogen production.

[0084] According to an example embodiment, in step S1021, the electronic device may substitute Formula 4 into Formula 5, and in combination with various parameters of the new energy hydrogen production system, may calculate a system hydrogen production benefit model of the new energy hydrogen production system.

[0085] In step S1022 , the electronic device determines a system operation cost model of the new energy hydrogen production system.

[0086] According to an example embodiment, the system operation cost model is a model that describes the electrolyzer operation cost, the electrolyzer start-up and shutdown cost, and the system wind and solar power abandonment cost.

[0087] Optionally, when the multiple modules of the new energy hydrogen production system include a wind power generation module, a photovoltaic power generation module, an energy storage module and at least two electrolyzer modules, the system operation cost model may specifically include an electrolyzer operation cost model, an electrolyzer start-up and shutdown cost model and a wind and solar power abandonment cost model.

[0088] The electrolyzer operation cost model is the cost of operating the electrolyzer, the electrolyzer start-up and shutdown cost is the cost of starting and shutting down the electrolyzer, and the wind and solar abandonment cost mainly refers to the economic losses caused by the electricity generated in the process of wind power generation and photovoltaic power generation that is not effectively utilized (ie "wind abandonment" and "solar abandonment").

[0089] Optionally, the electrolytic cell operation cost model may specifically be the following formula 6.

[0090]

[0091] C run is the electrolytic cell operating cost; c run is the electrolyzer operation cost coefficient; is the input electric power of the i-th electrolyzer module at the t-th scheduling time, T is the total number of scheduling periods, that is, the total number of scheduling time periods included in the scheduling cycle; N is the total number of electrolyzers.

[0092] The operating cost of the electrolyzer module is the cost of the input power consumed by producing hydrogen and maintaining the operating state of the electrolyzer module. In step S1022, the electronic device can sum the input power of each electrolyzer module to obtain the total input power at time t. Then, the electronic device calculates the product of the total input power and the electrolyzer operating cost coefficient to obtain the electrolyzer operating cost at time t, so as to obtain the electrolyzer operating cost model.

[0093] Optionally, the electrolytic cell start-stop cost model may specifically be the following formula 7.

[0094]

[0095] C ss is the start-up and shutdown cost of the electrolyzer; c su Y is the electrolytic cell startup cost coefficient; i,t is a parameter indicating whether the i-th electrolyzer module starts up at the t-th scheduling time; c sd is the electrolytic cell shutdown cost coefficient; Z i,t It is a parameter indicating whether the i-th electrolyzer module has a shutdown process at the t-th scheduling time.

[0096] The electrolyzer startup and shutdown cost model is used to describe the costs caused by the startup and shutdown process of the electrolyzer module. For example, the startup of the electrolyzer module requires energy to increase the cell temperature and pressure of the electrolyzer module to complete the startup process. The cost corresponding to this energy belongs to the startup and shutdown cost of the electrolyzer.

[0097] When the electrolyzer module changes from the cold standby state to the working state or the hot standby state, it indicates that the electrolyzer module is in the startup process; when the electrolyzer module changes from the working state or the hot standby state to the cold standby state, it indicates that the electrolyzer module is in the shutdown process.

[0098] It is worth noting that when the electrolyzer module remains in the working state, or remains in the hot standby state, or remains in the cold standby state, the electrolyzer module does not involve the start-stop state switching. Moreover, when the electrolyzer module switches between the hot standby state and the working state, the start-stop state switching is not involved. And because the conversion between the hot standby state and the working state does not consume extra costs, there is no need to consider the impact of switching between the hot standby state and the working state on the start-stop cost of the electrolyzer.

[0099] Y i,t and Z i,t The parameter value of Y indicates whether the electrolyzer module is in the startup process, shutdown process, or neither startup nor shutdown process. i,t and Z i,t The physical meaning corresponding to the parameter value.

[0100] Table 2

[0101]

[0102] For example, in Y i,t The parameter value of Z is 1. i,t When the parameter value of is 0, at the tth scheduling time, the i-th electrolyzer module is in the startup process.

[0103] According to an example embodiment, c su is the electrolytic cell startup cost coefficient, which indicates the cost of each startup of the electrolytic cell module, and is a preset value. sd It is the electrolytic cell shutdown cost coefficient, which indicates the cost caused by each shutdown of the electrolytic cell module, and is a preset value.

[0104] Optionally, the wind and solar power abandonment cost model may specifically be the following formula 8.

[0105]

[0106] C nea Penalty cost for system abandonment of wind and solar power; c pv P is the penalty cost coefficient for abandoned light; t pv,max is the maximum output of the photovoltaic power generation module at the tth scheduling moment; P t pv is the planned output of the photovoltaic power generation module at the tth scheduling time; c wd P is the penalty cost coefficient for wind curtailment; t wd,max is the maximum output of the wind power generation module at the tth scheduling moment; P t wdis the planned output of the wind power generation module at the tth scheduling moment; T is the total number of scheduling time periods included in the scheduling cycle, for example, 24; N is the total number of electrolyzer modules.

[0107] According to the exemplary embodiment, the wind power abandonment penalty cost coefficient and the solar power abandonment penalty cost coefficient are preset values. In addition, the wind power abandonment penalty cost coefficient and the solar power abandonment penalty cost coefficient may be the same or different, which is not limited here.

[0108] In step S1023, the electronic device determines the operation scheduling objective function according to the system hydrogen production benefit model and the system operation cost model.

[0109] The goal of the operation scheduling plan formulated by the electronic equipment is to minimize the system operating cost and maximize the hydrogen production benefit. Therefore, in step S1023, the operation scheduling objective function determined by the electronic equipment is to maximize the system net benefit, and the system net benefit is the system hydrogen production benefit minus the system operating cost.

[0110] According to an example embodiment, the operation scheduling objective function may specifically be the following formula 9.

[0111] maxC total =C inc -C run -C ss -C nea (Formula 9)

[0112] In step S1023, the electronic device substitutes the above formula 5, formula 6, formula 7 and formula 8 into formula 9 to obtain the operation scheduling objective function.

[0113] According to some embodiments, when the multiple modules of the new energy hydrogen production system block include an energy storage module, a photovoltaic power generation module, a wind power generation module and at least two energy storage modules, the operation scheduling constraints include system power constraints, new energy power generation constraints, energy storage module constraints and electrolyzer module constraints.

[0114] According to the above embodiment, referring to Figure 3 In the above step S103, the electronic device determines the operation scheduling constraint conditions according to the mathematical model, which can be specifically implemented through steps S1031, S1032, S1033 and S1034.

[0115] In step S1031, the electronic device determines the system power constraint conditions according to the charging power of the energy storage module, the discharging power of the energy storage module, the input power of each electrolyzer module, the photovoltaic power generation power of the photovoltaic power generation module, and the wind power generation power of the wind power generation module.

[0116] During the operation of the new energy hydrogen production system, according to the law of conservation of energy, the total power consumption at any time cannot be greater than the total power generation. Therefore, the system power constraints of the new energy hydrogen production system include: at any time, the sum of the input power of each electrolyzer module and the charging power of the energy storage module should not exceed the sum of the wind power generation power of the wind power generation module, the photovoltaic power generation power of the photovoltaic power generation module and the discharge power of the energy storage module.

[0117] The input electric power of the electrolyzer module is the real-time power of the electrolyzer module, and the electrolyzer module produces hydrogen by electrolysis according to the input electric power.

[0118] Photovoltaic power generation is the real-time power generation of the photovoltaic power generation module. Wind power generation is the real-time power generation of the wind power generation module. The discharge power and charging power of the energy storage module are the real-time power of the energy storage module. When the energy storage module is in the charging state, the charging power of the energy storage module is the real-time charging power and the discharge power is 0; when the energy storage module is in the discharging state, the charging power of the energy storage module is 0 and the discharge power is the real-time discharge power.

[0119] Optionally, the system power constraint condition may be the following formula 10.

[0120]

[0121] P t pv is the photovoltaic power generation power of the photovoltaic power generation module at the tth scheduling time, P t w is the wind power generation power of the wind power generation module at the tth scheduling time, P t es,d is the discharge power of the energy storage module at the tth scheduling moment, is the input power of the i-th electrolyzer module at the t-th scheduling time, P t es,c is the charging power of the energy storage module at the tth scheduling moment.

[0122] In step S1032, the electronic device determines the renewable energy power generation constraint conditions according to the predicted output of the wind power generation module, the rated power of the wind power generation module, the predicted output of the photovoltaic power generation module, and the rated power of the photovoltaic power generation module.

[0123] Exemplarily, when the new energy power generation module includes a wind power generation module and a photovoltaic power generation module, the new energy power generation constraint condition is used to constrain the power generation of the wind power generation module and the photovoltaic power generation module. Correspondingly, the new energy power generation constraint condition includes a photovoltaic output constraint condition and a wind power output constraint condition.

[0124] The wind power output constraint conditions include: the actual wind power generation power of the wind power generation module should not be greater than the rated power, should not be greater than the predicted output of the wind power generation module, and should not be less than 0.

[0125] The photovoltaic output constraint conditions include: the actual photovoltaic power generation power of the photovoltaic power generation module should not be greater than the rated power of the photovoltaic power generation module, should not be greater than the predicted output of the photovoltaic power generation module, and should not be less than 0.

[0126] Optionally, the photovoltaic output constraint condition may be the following formula 11.

[0127] 0≤P t pv ≤P t pv,max (Formula 11)

[0128] P t pv is the actual power of the photovoltaic power generation module at the tth scheduling time, P t pv,max is the maximum power that can be generated by the photovoltaic power generation module at the tth scheduling moment, and is the smaller value of the predicted output of the photovoltaic power generation module and the rated power.

[0129] Optionally, the wind power output constraint condition may be the following formula 12.

[0130] 0≤P t wd ≤P t wd,max (Formula 12)

[0131] P t w is the actual power of the wind power generation module at the tth scheduling moment; P t wd,max is the maximum power that can be generated by the wind power generation module at the tth scheduling moment, and is the smaller value of the predicted output of the wind power generation module and the rated power.

[0132] In step S1033, the electronic device determines the energy storage module constraint condition according to the charging power of the energy storage module, the discharging power of the energy storage module, and the energy storage capacity of the energy storage module.

[0133] The energy storage module constraints include charging and discharging power constraints, charging and discharging state constraints, and energy storage capacity constraints.

[0134] The charge and discharge power of the energy storage module during the charge and discharge process is limited by both the maximum charge and discharge power and the current state of charge of the energy storage module, that is, the storage capacity.

[0135] During the charging process of the energy storage module, when the energy storage module has less stored power, a larger charging power is usually allowed to quickly replenish the power. However, as the stored power of the energy storage module increases, in order to prevent overcharging and damage to the battery, the charging power needs to be gradually reduced.

[0136] Correspondingly, during the discharge process of the energy storage module, when the energy storage module has a large amount of stored electricity, the energy storage module can safely provide a large discharge power. However, as the stored electricity of the energy storage module gradually decreases, the discharge power of the energy storage module needs to be gradually reduced.

[0137] Therefore, the charging and discharging power constraints of the energy storage module may include: the charging power of the energy storage module is not greater than the preset maximum chargeable power, and the discharging power of the energy storage module is not greater than the preset maximum dischargeable power, and the discharging power of the energy storage module is not greater than the real-time power limit discharging power, and the charging power of the energy storage module is not greater than the real-time power limit charging power, and the discharging power of the energy storage module should not be less than zero, and the charging power of the energy storage module should not be less than zero.

[0138] Optionally, the charge and discharge power constraint condition may be the following formula 13.

[0139]

[0140] P t es,c is the charging power of the energy storage module at the tth scheduling time; P es,cmax is the maximum charging power of the energy storage module, which is a preset value; E is the amount of electricity stored in the energy storage module at the tth scheduling moment; es,rate is the rated capacity of the energy storage module, which is a preset value; P t es,d is the discharge power of the energy storage module at the tth scheduling moment; P es,dmax is the maximum discharge power of the energy storage module.

[0141] is the parameter representing the charging state of the energy storage module at the tth scheduling time. When the parameter value is 1, it means that the energy storage module is in the charging state at the tth scheduling time. When the parameter value of is 0, it means that the energy storage module is not in a charging state at the tth scheduling time.

[0142] is the parameter representing the discharge state of the energy storage module at the tth scheduling time. When the parameter value is 1, it means that the energy storage module is in the discharge state at the tth scheduling time. When the parameter value of is 0, it means that the energy storage module is not in a discharging state at the tth scheduling time.

[0143] With E es,rate The ratio is used to measure the amount of stored electricity in the energy storage module. The closer the ratio is to 1, the more electricity the energy storage module stores, and the closer the ratio is to 0, the less electricity the energy storage module stores.

[0144] In step S1033, when the electronic device determines the charging and discharging power constraints of the energy storage module, the preset maximum charging power of the energy storage module of the new energy hydrogen production system, the preset rated capacity of the energy storage module and the above formula 3 can be substituted into formula 13 to obtain the charging and discharging power constraints corresponding to the new energy hydrogen production system.

[0145] Furthermore, the energy storage module not only has the constraints of charge and discharge power, but also can only be in the charging state, the discharging state, or the state of neither charging nor discharging at any time, and cannot be in both the charging state and the discharging state. Therefore, the energy storage module also has the constraints of charge and discharge power.

[0146] Optionally, the charge and discharge state constraint condition may be the following formula 14.

[0147]

[0148] For example, when the energy storage module is operating normally, the parameter value of the charging state parameter of the energy storage module and the parameter value of the discharging state parameter of the energy storage module are not greater than 1. That is, the charging state parameter value is 1. That is, the discharge state parameter value is 0, and the sum of the two is 1 (not greater than 1). When the energy storage module is in the discharge state, the That is, the charging state parameter value is 0. That is, the discharge state parameter value is 1, and the sum of the two is 1 (not greater than 1). When the energy storage module is in a state of neither charging nor discharging, the That is, the charging state parameter value is 0. That is, the discharge state parameter value is 0, and the sum of the two is 0 (less than 1).

[0149] Furthermore, for the energy storage module, the amount of electricity stored in the energy storage module is also limited by the energy storage capacity of the energy storage module, so the constraint conditions of the energy storage module also include energy storage amount constraint conditions.

[0150] The energy storage capacity constraint condition may specifically include that the amount of energy stored in the energy storage module at the tth scheduling time should not exceed the preset upper capacity limit of the energy storage module, and should not be lower than the preset lower capacity limit of the energy storage module.

[0151] Optionally, the energy storage capacity constraint condition may be the following formula 15.

[0152]

[0153] Among them, E es,max The upper limit of the amount of electricity that the energy storage module can store, that is, the preset capacity upper limit; E es,min It is the lower limit of the amount of electricity that the energy storage module can store, that is, the preset capacity lower limit.

[0154] is the amount of electricity stored by the energy storage module at the tth scheduling moment. The mathematical model of the energy storage module is a mathematical model that describes the amount of energy stored by the energy storage module and the charging and discharging power of the energy storage module. Therefore, in step S1033, the electronic device can substitute the mathematical model of the energy storage module into the formula 14, that is, substitute the above formula 3 into the formula 15 to obtain the energy storage capacity constraint condition of the energy storage module.

[0155] In step S1033, the electronic device determines the energy storage module constraint conditions. According to the above formulas 13, 14 and 15, the charge and discharge power constraint conditions, charge and discharge state constraint conditions and energy storage capacity constraint conditions of the energy storage module can be determined respectively, so as to determine the energy storage module constraint conditions.

[0156] In step S1034, the electronic device determines the electrolyzer module constraint conditions according to the hydrogen production model corresponding to each electrolyzer module.

[0157] The constraints of the electrolyzer module include the constraints of the electrolyzer state, the constraints of the electrolyzer operating power and the constraints of the electrolyzer operating power regulation rate.

[0158] According to some embodiments, the electrolytic cell state constraint condition is mainly used to constrain the operating state of the electrolytic cell at different time points.

[0159] After the electrolyzer module is shut down, it needs to wait for at least a preset continuous shutdown scheduling interval before it can be restarted, and it cannot be restarted immediately after the shutdown. Therefore, the electrolyzer state constraint condition of the electrolyzer module includes the startup interval constraint condition.

[0160] Optionally, the startup interval constraint includes the following formula 16.

[0161]

[0162] Among them, Ti,off is the minimum number of continuous shutdown scheduling intervals for the i-th electrolyzer module, which is a preset value. For example, each preset scheduling time interval is 1 hour, and the electrolyzer module needs to wait for 2.5 hours before it can be started. The number of continuous shutdown scheduling intervals can be set to 3.

[0163] I i,t I is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is in the cold standby state. i,t-1 is a parameter indicating whether the state of the i-th electrolyzer module at the last (i.e., t-1) scheduling time is in the cold standby state. For example, if the scheduling cycle is 24h, the preset scheduling time interval is 1h, the current is the 5th scheduling time (e.g., the corresponding time is 04:00), and the last scheduling time is the 4th scheduling time (e.g., the corresponding time is 03:00), the I i,t-1 It is a parameter indicating whether the electrolyzer module is in cold standby state at 03:00.

[0164] In addition, there are also constraints on the operation state and start-stop process of the electrolyzer module. Therefore, the electrolyzer state constraints also include the following formulas 17, 18, and 19.

[0165] The process of switching the electrolytic cell module from the hot standby state or the working state to the cold standby state is the shutdown process of the electrolytic cell module. Therefore, the electrolytic cell operation state constraint condition includes: when the electrolytic cell module was in the hot standby state or the working state at the previous scheduling time and is in the cold standby state at the current scheduling time, the Z i,t The value of (a parameter indicating whether the i-th electrolyzer module has stopped at the t-th scheduling time) should be 1, not 0. That is, the following formula 17.

[0166] L i,t-1 +S i,t-1 +I i,t -1≤Z i,t (Formula 17)

[0167] That is, the sum of the parameter values ​​of the representation parameters of the hot standby state of the electrolytic cell module at the last scheduling moment, the parameter values ​​of the representation parameters of the working state at the last scheduling moment, and the parameter values ​​of the representation parameters of the cold standby state at the current scheduling moment should not be greater than the parameter value of the representation parameters of the shutdown process at the current scheduling moment.

[0168] For example, when the electrolyzer module is switched from hot standby state to cold standby state for shutdown at the current scheduling time, the electrolyzer module was in hot standby state at the previous scheduling time, and in cold standby state at the current scheduling time, Formula 17 is 0+1+1-1≤1, and the inequality holds.

[0169] For example, when the electrolytic cell module is still in hot standby state at the current scheduling time, the electrolytic cell modules at the previous scheduling time and the current scheduling time are both in hot standby state, and the formula 17 is 0+1+0-1≤0, and the inequality holds.

[0170] The process of switching the electrolytic cell module from the cold standby state to the hot standby state or the working state is the shutdown process of the electrolytic cell module. Therefore, the electrolytic cell operation state constraint condition may also include: when the electrolytic cell module was in the cold standby state at the previous scheduling time and is in the hot standby state or the working state at the current scheduling time, the Y i,t (a parameter indicating whether the i-th electrolyzer module starts up at the t-th scheduling time) should be 1, not 0. That is, the following formula 18.

[0171] L i,t +S i,t +I i,t-1 -1≤Y i,t (Formula 18)

[0172] For example, when the electrolyzer module is switched from the cold standby state to the hot standby state for startup at the current scheduling moment, the electrolyzer module was in the cold standby state at the previous scheduling moment, and the electrolyzer module was in the hot standby state at the current scheduling moment. Formula 18 is 0+1+1-1≤1, and the inequality holds.

[0173] For example, when the electrolytic cell module is still in the cold standby state at the current scheduling time, the electrolytic cell modules at the previous scheduling time and the current scheduling time are both in the cold standby state, and the formula 18 is 0+0+0-1≤0, and the inequality holds.

[0174] During the operation of the electrolyzer module, the electrolyzer module cannot be in hot standby state, working state, or cold standby state at the same time. That is, the operation state of the electrolyzer module needs to satisfy the condition that at least two of the working state, cold standby state, and hot standby state do not appear at the same time. That is, the electrolyzer operation state constraint condition can also include the following formula 19.

[0175] L i,t +S i,t +I i,t =1 (Formula 19)

[0176] According to the example embodiment, the electrolyzer module has not only state constraints but also operating power constraints. The electrolyzer operating power constraints include: the input electric power of the electrolyzer module in the working state should not be greater than the upper limit of the input electric power, and the input electric power of the electrolyzer module in the working state should not be less than the lower limit of the input electric power, and the input electric power of the electrolyzer module in the cold standby state should be the cold standby power, and the input electric power of the electrolyzer module in the hot standby state should be the hot standby power.

[0177] Optionally, the electrolyzer operating power constraint may include the following formula 20.

[0178]

[0179] P i eh,cb is the cold standby power of the i-th electrolyzer module, which is a preset value; P i eh,hb is the hot standby power of the i-th electrolyzer module, which is a preset value; P i eh,min is the lower limit of the input power of the ith electrolyzer module in the working state, which is a preset value; is the input power of the i-th electrolyzer module at the t-th scheduling time; P i eh,max is the upper limit of the input power of the ith electrolyzer module in working state, which is a preset value.

[0180] According to an example embodiment, the adjustment rate of the operating power of the electrolyzer module is subject to an upward adjustment rate limit and a downward adjustment rate limit, so the electrolyzer module constraint condition also includes an electrolyzer operating power adjustment rate constraint condition.

[0181] Optionally, the electrolytic cell operating power regulation rate constraint condition may be the following formula 21.

[0182]

[0183] Among them, P i eh,up is the rate limit of increasing the input power of the i-th electrolyzer module, which is a preset value; P i eh,dn is the downward adjustment rate limit of the input power of the i-th electrolyzer, which is a preset value.

[0184] In step S1034, the electronic device may determine the electrolytic cell module constraint conditions according to various preset parameter values ​​of the electrolytic cell module in combination with the above formulas 16 to 21.

[0185] In step S102 and step S103 , when the electronic device determines the operation scheduling objective function and the operation scheduling constraint conditions, the operation scheduling plan can be calculated in step S104 .

[0186] According to some embodiments, the operation scheduling plan includes a power generation scheduling plan, a charge and discharge scheduling plan, an electrolyzer operation state switching plan, and a power consumption scheduling plan corresponding to each electrolyzer module.

[0187] For example, a new energy hydrogen production system includes 1 wind power generation module, 1 photovoltaic power generation module, 1 energy storage module, and 4 electrolyzer modules corresponding to 4 electrolyzers. In addition, the scheduling period is 00:00-23:00, the scheduling period is 1 hour, and each hour is a scheduling moment. That is, a scheduling plan for a scheduling moment is formulated at 00:00, a scheduling plan for a scheduling moment is formulated at 01:00, and so on.

[0188] The performance parameters of each module include: the rated power of the wind power module is 25MW; the rated power of the photovoltaic power module is 10MW; the wind and solar power forecast output data is as follows: Figure 4 As shown; the rated capacity of the energy storage module is 15MWh; the lower limit of the capacity of the energy storage module is 5%; the upper limit of the capacity of the energy storage module is 95%; the maximum rechargeable power of the energy storage module is 5MW; the maximum dischargeable power of the energy storage module is 5MW; the charging and discharging efficiency of the energy storage module is 95%; the initial SOC (State of Charge) of the energy storage module is 33%; the rated power of each electrolyzer is 2.5MW; the hot standby power of each electrolyzer module is 0.15MW, and the cold standby power is 0.025MW; when the electrolyzer is in working state, the input power range is 10% to 100% of the rated power; the operating cost coefficient of the electrolyzer is 35; the electrolyzer startup cost coefficient is 65, the electrolyzer shutdown cost coefficient is 50, and the system hydrogen production benefit coefficient is 0.34; the wind and solar abandonment penalty cost coefficient is 100.

[0189] In step S102, the operation scheduling objective function determined by the electronic device includes:

[0190] maxC total =C inc -C run -C ss -C nea .

[0191] Should as well as as well as

[0192] as well as

[0193]

[0194] In step S103, the operation scheduling constraint conditions determined by the electronic device include: as well as

[0195] 0≤P t wd ≤P t wd,max ;as well as

[0196] 0≤P t pv ≤P t pv,max ;as well as

[0197] as well as as well as

[0198] as well as as well as

[0199] as well as

[0200] -I i,t-2 +I i,t-1 -I i,t ≤0; and

[0201] L i,t +S i,t +I i,t-1 -1≤Y i,t ;as well as

[0202] L i,t-1 +S i,t-1 +I i,t -1≤Z i,t ;as well as

[0203] L i,t +S i,t +I i,t = 1; and

[0204] as well as

[0205]

[0206] In step S104, the electronic device processes the operation scheduling objective function, the operation scheduling constraint condition and the operation scheduling constraint condition. Figure 4The wind and solar power forecast output data shown is input into the preset optimization solver to calculate the power generation power of the wind power generation module, the power generation power of the photovoltaic power generation module, the parameter value representing the charging state of the energy storage module, the parameter value representing the discharging state of the energy storage module, the charging and discharging power of the energy storage module, the parameter value representing the working state of each electrolyzer module, the parameter value representing the hot standby state of each electrolyzer module, the parameter value representing the cold standby state of each electrolyzer module, and the input electric power of each electrolyzer module at each scheduling time, so as to determine the operation scheduling plan of the new energy hydrogen production system.

[0207] The power generation scheduling plan determined by the electronic device in step S104 includes the power generation of the wind power generation module and the power generation of the photovoltaic power generation module at each scheduling time. For example, the power generation scheduling plan determined by the electronic device is as follows: Figure 5 See Figure 5 When there is wind and solar power output, the electrolyzer modules are in working state; when there is no wind and solar power output, such as 0:00-7:00 and 18:00-19:00, all electrolyzer modules are in cold standby state. At 8:00 and 20:00, some electrolyzer modules are switched to hot standby state to respond to changes in wind and solar power output, thereby maximizing hydrogen production and improving the economic benefits of the system.

[0208] The charge and discharge scheduling plan includes the parameter values ​​representing the charging state of the energy storage module, the parameter values ​​representing the discharging state of the energy storage module, and the charge and discharge power of the energy storage module at each scheduling time, so as to plan whether the energy storage module should be in the charging state or the discharging state at each scheduling time, and what the corresponding charge and discharge power is. For example, the charge and discharge scheduling plan of this example determined by the electronic device is as follows: Figure 6 See Figure 6 The energy storage module is the main power supply for the electrolyzer module in cold standby and hot standby states. When the wind and solar power output fluctuates, the energy storage module plays a role in power support, avoiding the loss of system operation benefits caused by the short-term state switching of the electrolyzer module.

[0209] The electrolytic cell operation state switching plan includes the parameter values ​​of the working state of each electrolytic cell module at each scheduling time, the parameter values ​​of the hot standby state of each electrolytic cell module, and the parameter values ​​of the cold standby state of each electrolytic cell module, so as to plan the operation state of the electrolytic cell module at each scheduling time. The electrolytic cell operation state switching plan corresponding to the above example is as follows: Figure 7 shown.

[0210] The power consumption scheduling plan corresponding to each electrolyzer module includes the input power size corresponding to each electrolyzer module at each scheduling time. The power consumption scheduling plan corresponding to the electrolyzer module in the above example is as follows: Figure 8 shown. Figure 8 The numbers in the table correspond to the following: 0-cold standby state, 1-hot standby state, 2-working state.

[0211] Reference Figure 7 and Figure 8 It can be seen that due to the drop in wind and solar output at 14:00, the No. 3 and No. 4 electrolyzer modules switched to hot standby state, and the No. 3 and No. 4 electrolyzer modules resumed working state at 15:00, avoiding the downtime cost caused by switching from working state to cold standby state and the startup cost caused by switching from cold standby state to working state. In addition, the No. 3 and No. 4 electrolyzer modules responded to the change in wind and solar output, and were in cold standby state from 17:00 to 21:00, and switched to hot standby state at 22:00, so as to switch to cold standby state in the case of insufficient wind and solar output for a long time, reduce the waste of electricity, and use more electricity for hydrogen production in electrolyzers, thereby improving the economic benefits of the system.

[0212] It should be clearly understood that the present application describes how to form and use specific examples, but the present application is not limited to any details of these examples. On the contrary, based on the teaching of the content disclosed in the present application, these principles can be applied to many other embodiments.

[0213] Those skilled in the art may understand that all or part of the steps to implement the above embodiments are implemented as a computer program executed by a CPU. When the computer program is executed by the CPU, the above functions defined by the above method provided in this application are performed.

[0214] According to another aspect of the present application, an embodiment of the present application introduces a device for determining an operation scheduling plan of a new energy hydrogen production system from the perspective of a virtual module or a virtual unit, and details are shown in the following embodiments.

[0215] The device embodiments of the present application described below can be used to execute the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, reference can be made to the method embodiments of the present application.

[0216] like Fig. 9 As shown, the operation scheduling plan determination device of the new energy hydrogen production system may include a model generation module 901 and a calculation module 902 .

[0217] The new energy hydrogen production system includes multiple modules, and the multiple modules include at least two electrolyzer modules. Fig. 9And referring to the previous description, the model generation module 901 is used to generate mathematical models corresponding to multiple modules, wherein at least two electrolyzer modules correspond to their own mathematical models. The calculation module 902 is used to determine the operation scheduling objective function according to the mathematical model. The calculation module 902 is also used to determine the operation scheduling constraints according to the mathematical model. The calculation module 902 is also used to determine the operation scheduling plan corresponding to the new energy hydrogen production system according to the scheduling objective function and the scheduling constraints. The mathematical model of the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state; the operating state includes a working state, a cold standby state, and a hot standby state.

[0218] According to another aspect of the present application, the embodiment of the present application also introduces an electronic device from the perspective of a physical device. Fig.10 , Fig.10 The electronic device 1000 shown includes: a processor 1001 and a memory 1003. The processor 1001 and the memory 1003 are connected, such as through a bus 1002. Optionally, the electronic device 1000 may also include a transceiver 1004. It should be noted that in actual applications, the transceiver 1004 is not limited to one, and the structure of the electronic device 1000 does not constitute a limitation on the embodiments of the present application.

[0219] Processor 1001 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. Processor 1001 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0220] The bus 1002 may include a path to transmit information between the above components. The bus 1002 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 1002 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig.10 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0221] The memory 1003 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0222] The memory 1003 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 1001. The processor 1001 is used to execute the application code stored in the memory 1003 to implement the contents shown in the above method embodiment.

[0223] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Fig.10 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0224] According to another aspect of the present application, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. The storage medium can be a read-only memory, a disk or an optical disk, etc.

[0225] According to another aspect of the present application, an embodiment of the present application provides a computer program product, which includes a computer program stored on a computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the above method.

[0226] Finally, it should be noted that the above are only preferred embodiments of the present application and are not intended to limit the present application. Although the present application is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions of the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining an operation scheduling plan for a new energy hydrogen production system, characterized in that: The new energy hydrogen production system comprises a plurality of modules, wherein the plurality of modules comprises at least two electrolyzer modules, and the method comprises: Generating mathematical models corresponding to the plurality of modules, respectively, wherein the at least two electrolyzer modules correspond to respective mathematical models; Determining the operation scheduling objective function according to the mathematical model; Determining operation scheduling constraints based on the mathematical model; Determining an operation scheduling plan corresponding to the new energy hydrogen production system according to the operation scheduling objective function and the operation scheduling constraint condition; Among them, the mathematical model of the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state; the operating state includes a working state, a cold standby state and a hot standby state.

2. The method according to claim 1, characterized in that Determining the operation scheduling objective function according to the mathematical model includes: Determine the system hydrogen production benefit model based on the hydrogen production model corresponding to each electrolyzer module; Determining a system operation cost model of the new energy hydrogen production system; The operation scheduling objective function is determined according to the system hydrogen production benefit model and the system operation cost model.

3. The method according to claim 2, characterized in that The multiple modules of the new energy hydrogen production system also include a wind power generation module and a photovoltaic power generation module; The system operation cost model includes an electrolyzer operation cost model, an electrolyzer start-up and shutdown cost model, and a wind and solar power abandonment cost model; Wherein, the electrolyzer operation cost model is: The electrolyzer start-up and shutdown cost model is: The cost model for curtailing wind and solar power is: Among them, C run is the electrolytic cell operating cost; c run is the electrolytic cell operation cost coefficient; is the input power of the i-th electrolyzer module at the t-th scheduling time; C ss is the start-up and shutdown cost of the electrolyzer; c su Y is the electrolytic cell startup cost coefficient; i,t is a parameter indicating whether the i-th electrolyzer module starts up at the t-th scheduling time; c sd is the electrolytic cell shutdown cost coefficient; Z i,t is the parameter indicating whether the i-th electrolyzer module has a shutdown process at the t-th scheduling time; C nea Penalty cost for system abandonment of wind and solar power; c pv P is the penalty cost coefficient for abandoned light; t pv,max is the maximum output of the photovoltaic power generation module at the tth scheduling moment; P t pv is the planned output of the photovoltaic power generation module at the tth scheduling time; c wd P is the penalty cost coefficient for wind curtailment; t wd ,max is the maximum output of the wind power generation module at the tth scheduling moment; t wd is the planned output of the wind power generation module at the tth scheduling moment; T is the total number of scheduling periods; and N is the total number of electrolyzer modules.

4. The method according to claim 2, characterized in that: The system hydrogen production benefit model includes: Among them, C inc is the system hydrogen production efficiency, k is the hydrogen production efficiency coefficient, is the hydrogen production of the i-th electrolyzer module at the t-th scheduling time.

5. The method according to any one of claims 1 to 4, characterized in that: The hydrogen production model is: in, is the hydrogen production of the i-th electrolyzer module at the t-th scheduling time; is the input power of the i-th electrolyzer module at the t-th scheduling time; S i,t is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is a hot standby state; P i eh,hb is the hot standby power of the i-th electrolyzer module; I i,t is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is in the cold standby state; P i eh,cb is the cold standby power of the i-th electrolyzer module; L i,t is the parameter representing the working state of the i-th electrolyzer module at the t-th scheduling moment.

6. The method according to claim 1, characterized in that The multiple modules of the new energy hydrogen production system block also include an energy storage module, a photovoltaic power generation module and a wind power generation module; The operation scheduling constraints include system power constraints, new energy power generation constraints, energy storage module constraints and electrolyzer module constraints; Wherein, determining the operation scheduling constraint conditions according to the mathematical model includes: Determining the system power constraint condition according to the charging power of the energy storage module, the discharging power of the energy storage module, the input power of each of the electrolyzer modules, the photovoltaic power generation power of the photovoltaic power generation module, and the wind power generation power of the wind power generation module; Determining the renewable energy power generation constraint condition according to the predicted output of the wind power generation module, the rated power of the wind power generation module, the predicted output of the photovoltaic power generation module, and the rated power of the photovoltaic power generation module; Determining the energy storage module constraint condition according to the charging power of the energy storage module, the discharging power of the energy storage module and the energy storage capacity of the energy storage module; The constraints of the electrolyzer modules are determined according to the hydrogen production models corresponding to the electrolyzer modules.

7. The method according to claim 6, characterized in that The system power constraints include: Among them, P t pv is the photovoltaic power generation power of the photovoltaic power generation module at the tth scheduling time, P t w is the wind power generation power of the wind power generation module at the tth scheduling time, P t es,d is the discharge power of the energy storage module at the tth scheduling moment, is the input power of the i-th electrolyzer module at the t-th scheduling time, P t es,c is the charging power of the energy storage module at the tth scheduling moment.

8. The method according to claim 6, characterized in that The renewable energy power generation constraints include photovoltaic output constraints and wind power output constraints; The photovoltaic output constraint conditions include: 0≤P t pv ≤P t pv,max ; The wind power output constraint conditions include: 0≤P t wd ≤P t wd,max ; Among them, P t pv is the actual power of the photovoltaic power generation module at the tth scheduling time, P t pv,max is the maximum power that can be generated by the photovoltaic power generation module at the tth scheduling moment, and is the smaller value of the predicted output and the rated power of the photovoltaic power generation module; P t w is the actual power of the wind power generation module at the tth scheduling moment; P t wd,max is the maximum power that can be generated by the wind power generation module at the tth scheduling moment, and is the smaller value of the predicted output of the wind power generation module and the rated power.

9. The method according to claim 6, characterized in that The energy storage module constraints include charge and discharge power constraints, charge and discharge state constraints, and energy storage capacity constraints; Wherein, the charging and discharging power constraints include: Wherein, the charge and discharge state constraint conditions include: The energy storage capacity constraint conditions include: Among them, P t es,c is the charging power of the energy storage module at the tth scheduling moment; is a parameter representing the charging state of the energy storage module at the tth scheduling time; P es,cmax is the maximum charging power of the energy storage module; E is the amount of electricity stored in the energy storage module at the tth scheduling time; es,rate is the rated capacity of the energy storage module; t es,d is the discharge power of the energy storage module at the tth scheduling moment; is a parameter representing the discharge state of the energy storage module at the tth scheduling time; P es,dmax is the maximum discharge power of the energy storage module; E es,max E is the upper limit of the amount of electricity that can be stored in the energy storage module; es,min It is the lower limit of the amount of electricity that can be stored in the energy storage module.

10. The method according to claim 6, characterized in that: The electrolytic cell module constraints include electrolytic cell state constraints, electrolytic cell operating power constraints, and electrolytic cell operating power adjustment rate constraints; Wherein, the electrolytic cell state constraints include: L i,t +S i,t +I i,t-1 -1≤Y i,t ;as well as L i,t-1 +S i,t-1 +I i,t -1≤Z i,t ;as well as L i,t +S i,t +I i,t =1; Wherein, the electrolyzer operating power constraint conditions include: The electrolytic cell operating power regulation rate constraint conditions include: Among them, L i,t is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is in the working state; S i,t I is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is a hot standby state; i,t Y is a parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling time is in the cold standby state; i,t Z is the parameter indicating whether the i-th electrolyzer module starts at the t-th scheduling time; i,t is a parameter indicating whether the i-th electrolyzer module has a shutdown process at the t-th scheduling time; P ieh,cb is the cold standby power of the i-th electrolyzer module; P i eh,hb is the hot standby power of the i-th electrolyzer module; P i eh,min is the lower limit of the input power of the i-th electrolyzer module in working state; is the input power of the i-th electrolyzer module at the t-th scheduling time; P i eh,max is the upper limit of the input power of the i-th electrolyzer module in working state; P i eh,up P is the rate limit of increasing the input power of the i-th electrolyzer module; i eh,dn The upward rate limit and downward rate limit of the input power to the i-th electrolyzer module.

11. The method according to claim 1, characterized in that: The operation scheduling plan includes a power generation scheduling plan, a charge and discharge scheduling plan, an electrolytic cell operation state switching plan, and a power consumption scheduling plan corresponding to each electrolytic cell module.

12. A device for determining a scheduling plan for a new energy hydrogen production system, characterized in that: The new energy hydrogen production system comprises a plurality of modules, wherein the plurality of modules comprises at least two electrolyzer modules, and the device comprises: A model generation module, used to generate mathematical models corresponding to the plurality of modules, wherein the at least two electrolytic cell modules correspond to respective mathematical models; A calculation module, used to determine the operation scheduling objective function according to the mathematical model; The calculation module is also used to determine the operation scheduling constraint conditions according to the mathematical model; The calculation module is also used to determine the operation scheduling plan corresponding to the new energy hydrogen production system according to the scheduling objective function and the scheduling constraint condition; Among them, the mathematical model of the electrolyzer module includes a hydrogen production model, which describes the relationship between the input electric power and the hydrogen production of the electrolyzer module in each operating state; the operating state includes a working state, a cold standby state and a hot standby state.

13. An electronic device, characterized in that: include: one or more processors and memory; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 11.

14. A non-volatile computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 11 is implemented.

15. A computer program product, characterized in that The method comprises a computer program stored on a computer-readable storage medium, wherein the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer is caused to execute the method according to any one of claims 1 to 11.

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