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

Abstract

The present application relates to a method, apparatus, and device 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. The method for determining the operation scheduling plan of the new energy hydrogen production system includes: generating a mathematical model corresponding to each of the plurality of modules of the new energy hydrogen production system, wherein at least two electrolyzer modules respectively correspond to their own mathematical models. According to the mathematical models, determine the operation scheduling objective function. According to the mathematical models, determine the operation scheduling constraint conditions. According to the operation scheduling objective function and the operation scheduling constraint conditions, determine the operation scheduling plan corresponding to the new energy hydrogen production system. The mathematical model of the electrolyzer module includes 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 electrolyzer module in each operating state; the operating states include a working state, a cold standby state, and a hot standby state.

Description

Technical Field

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

[0002] New energy hydrogen production refers to a technology that uses renewable energy to produce hydrogen, such as the technology of electrolyzing water to produce hydrogen using electrical energy generated by wind power and photovoltaic power.

[0003] A new energy hydrogen production system generally includes a new energy power generation unit and an electrolyzer. The electrolyzer uses the electrical energy generated by the new energy power generation unit to produce hydrogen. In order to solve the problem of source-load time difference and peak difference caused by the volatility and intermittency of the new energy power generation unit, a new energy hydrogen production system often further includes an energy storage unit. The energy storage unit stores electrical energy when the new energy power generation unit generates too much electricity, and releases electrical energy when the new energy power generation unit generates less electricity to supply power to the electrolyzer.

[0004] Optimal scheduling of wind, light, hydrogen and energy storage 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, the electrolyzer and the energy storage unit is coordinated and controlled, so as to improve the economy and flexibility of the operation of the hydrogen production system.

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

[0006] However, the inventor found that the operation scheduling plan formulated by regarding each electrolyzer as a whole in the prior art is not refined enough. Moreover, since the operation scheduling plan is formulated by regarding each electrolyzer as a whole, the flexibility of the formulated operation scheduling plan is lacking. For example, when the new energy hydrogen production system includes five electrolyzers, when the new energy power generation is insufficient, the energy storage is insufficient, and the energy storage and power generation can meet the continuous operation of one electrolyzer, the operation scheduling plan formulated by the prior art may be that the electrolyzers stop operating 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 of 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 a mathematical model corresponding to each of the multiple modules of the new energy hydrogen production system. According to the mathematical model, an operation scheduling objective function is determined; according to the mathematical model, operation scheduling constraint conditions are determined. According to the operation scheduling objective function and the operation scheduling constraint conditions, an operation scheduling plan corresponding to the new energy hydrogen production system is determined. At least two electrolyzer modules respectively correspond to their own mathematical models. The mathematical model of the electrolyzer module includes 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 electrolyzer module in each operating state; the operating states include 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 of a new energy hydrogen production system is proposed. The device includes a model generation module and a calculation module.

[0010] The model generation module is used to generate a mathematical model corresponding to each module. Among them, at least two electrolyzer modules respectively correspond to their own mathematical models. The calculation module is used to determine an operation scheduling objective function according to the mathematical model. The calculation module is also used to determine operation scheduling constraint conditions according to the mathematical model. The calculation module is also used to determine an operation scheduling plan corresponding to the new energy hydrogen production system according to the scheduling objective function and the scheduling constraint conditions. The mathematical model of the electrolyzer module includes 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 electrolyzer module in each operating state; the operating states include a working state, a cold standby state, and a hot standby state.

[0011] According to another aspect of the present application, an electronic device is proposed. The electronic device 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 proposed, on which a computer program is stored, and when the program is executed by a processor, the method as described above is implemented.

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

[0014] Beneficial effects

[0015] The method for determining the operation scheduling plan of the new energy hydrogen production system provided by the embodiments of the present application generates the respective mathematical models of each module. In particular, each electrolyzer module is separately modeled to obtain the respective mathematical models of each electrolyzer module. And the operation scheduling objective function and the operation scheduling constraint conditions are determined by using the respective mathematical models of each module, and the operation scheduling plan is determined according to the operation scheduling objective function and the operation scheduling constraint conditions.

[0016] This way is more refined than the way of formulating the scheduling plan by taking each electrolyzer module as a whole in the prior art, so that the operation scheduling plan arranged according to the embodiments of the present application is 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 following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and those of ordinary skill in the art can obtain other drawings according to these drawings without creative efforts.

[0018] Figure 1 It is a schematic flow chart of the method for determining the operation scheduling plan of the new energy hydrogen production system;

[0019] Figure 2 is Figure 1 the schematic flow chart of step S102 in

[0020] Figure 3 is Figure 1 the schematic flow chart of step S103 in

[0021] Figure 4 It is an example diagram of the predicted output data of wind and light in the embodiments of the present application;

[0022] Figure 5 It is an example diagram of the generated power scheduling plan determined in the embodiments of the present application;

[0023] Figure 6 It is an example diagram of the charge and discharge scheduling plan determined in the embodiments of the present application;

[0024] Figure 7 It is an example diagram of the electrolyzer operation state switching plan determined in the embodiments of the present application;

[0025] Figure 8 It is an example diagram of the power consumption scheduling plan of the electrolyzer module determined in the embodiments of the present application;

[0026] Figure 9 It is a schematic block diagram of the device for determining the operation scheduling plan of the new energy hydrogen production system;

[0027] Figure 10 It is a schematic diagram of the electronic device according to an embodiment of the present application. Detailed implementation manners

[0028] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various 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 thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Like reference numerals in the figures denote like or similar parts, and thus their repetitive 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, numerous specific details are provided to give a thorough understanding of the embodiments of the present disclosure. However, those skilled in the art will realize that the technical solutions of the present disclosure can be practiced without one or more of these specific details, or can be implemented in other ways, components, materials, devices, etc. In these cases, well-known structures, methods, devices, implementations, materials or operations will not be shown or described in detail.

[0030] In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. 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 optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0031] The terms "first", "second", etc. in the description and claims of the present application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order.

[0032] The technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0033] On the one hand, 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 includes at least two electrolytic cell 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 relatively 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, in the process of formulating the operation scheduling plan in the prior art, the influence 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 inventor found that the method of ignoring the hot standby state of the electrolyzer module in the prior art to determine the operation scheduling plan cannot fit the actual production process. For example: when the available power generation of the power source side (wind, light, storage) meets the hot standby power of the electrolyzer, the prior art will consider that the electrolyzer already has the hydrogen production capacity, and thus formulate the operation scheduling plan of wind, light, and storage that meets the hot standby power of the electrolyzer. But the actual situation is that the electrolyzer does not have the hydrogen production capacity in the hot standby state. If production is carried out according to this plan, the system will consume more electric energy to maintain the hot standby state of the electrolyzer, and no hydrogen production benefit will be generated, resulting in unnecessary waste of electric energy. This situation is particularly obvious when the weather conditions are poor and the wind and light output are insufficient. For example: for a long period of time, when the power generation power of the power source side is basically equivalent to the hot standby power of the electrolyzer but does not reach the power required for the working state, the plan will still require each power generation unit to provide the amount of electricity that meets the hot standby power of the electrolyzer, resulting in waste of electric energy when hydrogen is not actually produced. At the same time, it may also cause the electrolyzer to start and stop frequently due to weather changes and wind and light output fluctuations, further increasing the start-stop cost. In addition, the power of the energy storage battery in maintaining the hot standby state is larger than that in the cold standby state, resulting in greater fluctuations in the charge and discharge power of the energy storage, reducing the service life of the battery, and also affecting the economic benefits of the system.

[0046] The hydrogen production amount model of the electrolyzer module in the embodiment of the present application considers 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 amount of the electrolyzer module in 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 available power generation can only meet the hot standby power of the electrolyzer for a long time 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, without the electrolyzer maintaining 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 switch to the working state, so as to obtain real hydrogen production benefits.

[0047] Optionally, when the operating state of the electrolyzer module is in the hot standby state, the relationship between the hydrogen production amount corresponding to the electrolyzer module and the input electric power is The input electric power of the electrolyzer module is is the hydrogen production amount of the i-th electrolyzer module at the t-th scheduling moment; is the input electric power of the i-th electrolyzer module at the t-th scheduling moment; P i eh,hb is the hot standby power of the i-th electrolyzer module, which is a constant value.

[0048] Among them, the scheduling period is divided according to a preset scheduling time interval, and can be divided into multiple scheduling time periods. The starting moment of each scheduling time period is a scheduling moment. 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, and 00:00 is the first scheduling moment; 01:00 - 02:00 is a scheduling time period, and 01:00 is the second scheduling moment; 02:00 - 03:00 is a scheduling time period, and 02:00 is the third scheduling moment... t is the serial number corresponding to each scheduling moment.

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

[0050] When the operating state of the electrolyzer module is in the cold standby state, the relationship between the hydrogen production amount corresponding to the electrolyzer module and the input electric power is The input electric 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 should be noted that is obtained by linearly fitting the hydrogen production amount of the electrolyzer with different input electric powers when the electrolyzer module is in the working state.

[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 can 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 can specifically be a model describing the relationship between the actual power supply power and the rated power of the wind power generation module (such as the following formula 1). The mathematical model of the photovoltaic power generation module can specifically be a model describing the relationship between the actual power supply power and the rated power of the photovoltaic power generation module (such as 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] Wherein, P t w,rate and P t w are respectively the rated power and the actual power of the wind power generation module at the t-th scheduling moment; P t pv,rate and P t pv are respectively the rated power and the actual power of the photovoltaic power generation module at the t-th scheduling moment.

[0056] Exemplarily, in the case where 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 electricity quantity 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 electricity quantity stored by the energy storage module at the t-th scheduling moment; is the electricity quantity stored by the energy storage module at the (t - 1)-th scheduling moment; P t es,c is the charging power of the energy storage module at the t-th scheduling moment; η c is the charging efficiency of the energy storage module; P t es,d is the discharging power of the energy storage module at the t-th scheduling moment; η d is the discharging efficiency of the energy storage module. Δt is a preset scheduling time interval, which is a preset value and is used to describe the time interval between two adjacent scheduling moments. For example, 1 h.

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

[0061] According to the exemplary embodiment, in step S102, the operation scheduling objective function is set according to the optimization objective. For example, in the embodiment of the present application, the optimization objective 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 objective, 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 of the system and the system operation cost.

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

[0063] According to the exemplary embodiment, the operation scheduling constraint conditions are the conditions that should be satisfied for the normal operation of the new energy hydrogen production system. For example, when the new energy hydrogen production system includes a photovoltaic power generation module, a wind power generation module, an energy storage module, and each electrolyzer module, the operation scheduling constraint conditions may include: the sum of the input electric power of each electrolyzer module and the charging power of the energy storage module at any moment during the system operation 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 discharging power of the energy storage module.

[0064] In step S104, the electronic device determines the 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 the exemplary embodiment, after the electronic device determines the operation scheduling objective function and the operation scheduling constraint conditions, the operation scheduling objective function and the operation scheduling constraint conditions can be used for solving to obtain the operation scheduling plan.

[0066] In step S104, the electronic device can use the mixed integer linear programming algorithm to determine the operation scheduling plan. The mixed integer linear programming algorithm is an algorithm that uses linear equations and inequalities as constraint conditions, combines integer variable restrictions, and finds the optimal solution through optimization techniques.

[0067] The method for determining the operation scheduling plan of the new energy hydrogen production system provided by the embodiment of the present application generates the mathematical models corresponding to each module respectively. In particular, each electrolyzer module is separately modeled to obtain the mathematical models corresponding to each electrolyzer module respectively. And the operation scheduling objective function and the operation scheduling constraint conditions are determined by using the mathematical models corresponding to each module respectively, and the operation scheduling plan is determined according to the operation scheduling objective function and the operation scheduling constraint conditions.

[0068] Such a method is more refined than the method of taking each electrolyzer module as a whole to formulate a scheduling plan in the prior art, so that the operation scheduling plan arranged according to the method of the embodiment of the present application is more economical and flexible.

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

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

[0071]

[0072] Wherein, is the hydrogen production amount of the i-th electrolyzer module at the t-th scheduling moment; is the input electric power of the i-th electrolyzer module at the t-th scheduling moment; S i,t is a representation parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling moment is in the hot standby state; P i eh,hb is the hot standby power of the i-th electrolyzer module; I i,t is a representation parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling moment 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 a representation parameter of 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 are respectively the representation parameters of 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 representation parameter characterize the operating state of the electrolyzer. Table 1 below shows the corresponding relationship between the values of the representation parameters and the actual physical meanings. Refer to Table 1 below.

[0074] Table 1

[0075]

[0076] Exemplarily, for the electrolyzer module a1, when the operating state in the current period is the working state, the value of L i,t corresponding to the electrolyzer module a1 is 1, the value of S i,t corresponding thereto is 0, and the value of I i,t corresponding thereto is 0. Moreover, by substituting the parameter values corresponding to each representation parameter into the above formula (4), the hydrogen production amount model corresponding to the electrolyzer module a1 can be obtained as:

[0077] According to some embodiments, refer to Figure 2, in 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 the system hydrogen production benefit model according to the hydrogen production amount model corresponding to each electrolyzer module.

[0079] According to the exemplary embodiment, the system hydrogen production benefit model is a model describing the hydrogen production benefits jointly generated by each electrolyzer module in the new energy hydrogen production system.

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

[0081]

[0082] Where C inc is the system hydrogen production benefit, k is the hydrogen production benefit coefficient, is the hydrogen production amount of the i-th electrolyzer module at the t-th scheduling moment.

[0083] According to the exemplary embodiment, the hydrogen production benefit coefficient is the hydrogen production benefit generated by hydrogen per unit hydrogen production amount, which is a preset value. It should be noted that the hydrogen production benefit is the direct benefit that hydrogen can generate, without considering the cost of hydrogen production.

[0084] According to the exemplary embodiment, in step S1021, the electronic device can substitute formula 4 into formula 5 and combine the various parameters of the new energy hydrogen production system to calculate the system hydrogen production benefit model of the new energy hydrogen production system.

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

[0086] According to the exemplary embodiment, the system operation cost model is a model describing the electrolyzer operation cost, the electrolyzer start-stop cost, and the system wind and light abandonment cost.

[0087] Optionally, in the case where the multiple modules of the new energy hydrogen production system include a wind power generation module, a photovoltaic power generation module, a 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-stop cost model, and a wind and light abandonment cost model.

[0088] The electrolyzer operation cost model is the cost of electrolyzer operation, the electrolyzer start-stop cost is the cost of electrolyzer startup and shutdown, and the wind and light abandonment cost mainly refers to the economic loss caused by the electricity (i.e., "wind abandonment" and "light abandonment") that cannot be effectively utilized during the wind power generation and photovoltaic power generation processes.

[0089] Optionally, the electrolyzer operating cost model can specifically be the following formula 6.

[0090]

[0091] C run is the electrolyzer operating cost; c run is the electrolyzer operating cost coefficient; is the input electric power of the i-th electrolyzer module at the t-th scheduling moment, 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 brought by the input electric power consumed for hydrogen production and maintaining the operating state of the electrolyzer module. In step S1022, the electronic device can sum the input electric powers of each electrolyzer module to obtain the total input electric power at time t. Then the electronic device calculates the product of the total input electric power and the electrolyzer operating cost coefficient, and the electrolyzer operating cost at time t can be solved to obtain the electrolyzer operating cost model.

[0093] Optionally, the electrolyzer start-stop cost model can specifically be the following formula 7.

[0094]

[0095] C ss is the electrolyzer start-stop cost; c su is the electrolyzer startup cost coefficient; Y i,t is the representation parameter indicating whether the i-th electrolyzer module undergoes a startup process at the t-th scheduling moment; c sd is the electrolyzer shutdown cost coefficient; Z i,t is the representation parameter indicating whether the i-th electrolyzer module undergoes a shutdown process at the t-th scheduling moment.

[0096] The electrolyzer start-stop cost model describes the costs caused by the electrolyzer module during startup and shutdown processes. For example, when the electrolyzer module is started, energy needs to be consumed to raise the cell temperature and pressure of the electrolyzer module to complete the startup process, and the cost corresponding to this energy belongs to the electrolyzer start-stop cost.

[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 should be noted that when the electrolyzer module remains in the working state, or in the hot standby state, or in the cold standby state, the electrolyzer module is not involved in the start-stop state switching. Moreover, when the electrolyzer module switches between the hot standby state and the working state, it is not involved in the start-stop state switching. And since 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 the 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 values of characterize whether the electrolyzer module is in the startup process, the shutdown process, or the process of neither starting nor stopping. Table 2 below shows the i,t and Z i,t physical meanings corresponding to the parameter values.

[0100] Table 2

[0101]

[0102] Exemplarily, when the parameter value of Y i,t is 1 and the parameter value of Z i,t is 0, at the t-th scheduling moment, the i-th electrolyzer module is in the startup process.

[0103] According to the exemplary embodiment, c su is the electrolyzer startup cost coefficient, representing the cost brought about by each startup of the electrolyzer module, which is a preset value. c sd is the electrolyzer shutdown cost coefficient, representing the cost brought about by each shutdown of the electrolyzer module, which is a preset value.

[0104] Optionally, the curtailment cost model can specifically be the following formula 8.

[0105]

[0106] C nea is the system curtailment penalty cost; c pv is the curtailment penalty cost coefficient; P t pv,max is the maximum output of the photovoltaic power generation module at the t-th scheduling moment; P t pv is the planned output of the photovoltaic power generation module at the t-th scheduling moment; c wd is the curtailment penalty cost coefficient; P t wd,max is the maximum output of the wind power generation module at the t-th scheduling moment; P t wd$P_{w,t}$ is the planned output of the wind power generation module at the $t$-th 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 curtailment of wind penalty cost coefficient and the curtailment of light penalty cost coefficient are preset values. Moreover, the curtailment of wind penalty cost coefficient and the curtailment of light penalty cost coefficient may be the same or different, which is not limited herein.

[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 objective of the operation scheduling plan formulated by the electronic device is to minimize the system operation cost and maximize the hydrogen production benefit. Therefore, in step S1023, the operation scheduling objective function determined by the electronic device is to maximize the system net income, and the system net income is the system hydrogen production benefit minus the system operation cost.

[0110] According to the exemplary 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 formulas 5, 6, 7, and 8 into this formula 9 to obtain the operation scheduling objective function.

[0113] According to some embodiments, when multiple modules in 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 constraint conditions include system power constraint conditions, new energy power generation constraint conditions, energy storage module constraint conditions, and electrolyzer module constraint conditions.

[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 step S1031, step S1032, step S1033, and step 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 electric 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 moment cannot be greater than the total power generation. Therefore, the system power constraint conditions of the new - energy hydrogen - production system include: at any moment, the sum of the input electric 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 discharging 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 this input electric power.

[0118] The photovoltaic - power generation power is the real - time power generation power of the photovoltaic - power generation module. The wind - power generation power is the real - time power generation power of the wind - power generation module. The discharging 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 discharging 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 discharging power is the real - time discharging power.

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

[0120]

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

[0122] In step S1032, the electronic device determines the new - 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 conditions are used to constrain the power - generation power of the wind - power generation module and the photovoltaic - power generation module. Correspondingly, the new - energy power - generation constraint conditions include 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, and should not be greater than the predicted output of the wind power generation module, and should not be less than 0.

[0125] The photovoltaic power 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, and 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 power output constraint condition can 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 t-th scheduling moment, P t pv,max is the maximum power generation power of the photovoltaic power generation module at the t-th scheduling moment, which is the smaller value of the predicted output and the rated power of the photovoltaic power generation module.

[0129] Optionally, the wind power output constraint condition can 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 t-th scheduling moment; P t wd,max is the maximum power generation power of the wind power generation module at the t-th scheduling moment, which is the smaller value of the predicted output and the rated power of the wind power generation module.

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

[0133] The energy storage module constraint conditions include the charge and discharge power constraint conditions, the charge and discharge state constraint conditions, and the stored energy constraint conditions.

[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 stored charge.

[0135] During the charging process of the energy storage module, when the stored electricity in the energy storage module is relatively low, a relatively large charging power is usually allowed to quickly replenish the electrical energy. However, as the stored electricity in 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 discharging process of the energy storage module, when the stored electricity in the energy storage module is relatively high, the energy storage module can safely provide a relatively large discharging power. However, as the stored electricity in the energy storage module gradually decreases, the discharging power of the energy storage module needs to be gradually reduced.

[0137] Therefore, the charging and discharging power constraint conditions of the energy storage module can include: the charging power of the energy storage module is not greater than the preset maximum rechargeable 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 for discharging based on the electricity level, and the charging power of the energy storage module is not greater than the real-time power limit for charging based on the electricity level, 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 charging and discharging power constraint conditions can be the following formula (13).

[0139]

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

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

[0142] is a parameter representing the discharging state of the energy storage module at the t-th scheduling moment. When the parameter value is 1, it means that the energy storage module is in the discharging state at the t-th scheduling moment. When When the parameter value is 0, it means that the energy storage module is not in the discharging state at the t-th scheduling moment.

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

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

[0145] Furthermore, there are not only constraints on the charge-discharge power of the energy storage module. For the energy storage module, at any moment, the energy storage module can only be in the charging state, or the discharging state, or the non-charging and non-discharging state, and it is impossible to be in both the charging state and the discharging state at the same time. Therefore, the energy storage module also has charge-discharge power constraint conditions.

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

[0147]

[0148] Exemplarily, when the energy storage module is working 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. For example, when the energy storage module is in the charging state, the i.e., the charging state parameter value is 1, the i.e., the discharging 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 discharging state, the i.e., the charging state parameter value is 0, the i.e., the discharging state parameter value is 1, and the sum of the two is 1 (not greater than 1). When the energy storage module is in the non-charging and non-discharging state, the i.e., the charging state parameter value is 0, the i.e., the discharging 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. Therefore, the constraint conditions of the energy storage module also include energy storage electricity constraint conditions.

[0150] The energy storage power constraint condition may specifically include that the power stored in the energy storage module at the t-th scheduling moment should not exceed the upper limit of the preset capacity of the energy storage module and should not be lower than the lower limit of the preset capacity of the energy storage module.

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

[0152]

[0153] Where, E es,max is the upper limit of the power that the energy storage module can store, that is, the upper limit of the preset capacity; E es,min is the lower limit of the power that the energy storage module can store, that is, the lower limit of the preset capacity.

[0154] is the power stored in the energy storage module at the t-th scheduling moment. The mathematical model of the energy storage module is a mathematical model describing the power stored in the energy storage module and the charge-discharge 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 power constraint condition of the energy storage module.

[0155] In step S1033, when the electronic device determines the energy storage module constraint condition, it can respectively determine the charge-discharge power constraint condition, the charge-discharge state constraint condition and the energy storage power constraint condition of the energy storage module according to the above formula 13, formula 14 and formula 15, and then determine the energy storage module constraint condition.

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

[0157] The electrolyzer module constraint condition includes an electrolyzer state constraint condition, an electrolyzer operating power constraint condition and an electrolyzer operating power adjustment rate constraint condition.

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

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

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

[0161]

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

[0163] I i,t is a representation parameter indicating whether the state of the i-th electrolyzer module at the t-th scheduling moment is in cold standby state. I i,t-1 is a representation parameter indicating whether the state of the i-th electrolyzer module at the previous (i.e., the t - 1)-th scheduling moment is in cold standby state. For example, the scheduling period is 24 h, the preset scheduling time interval is 1 h, the current is the 5th scheduling moment (for example, corresponding to the time 04:00), and the previous scheduling moment is the 4th scheduling moment (for example, corresponding to the time 03:00). This I i,t-1 is a representation parameter indicating whether the electrolyzer module is in cold standby state at 03:00.

[0164] In addition, there are also constraint conditions for the operating state and start-stop process of the electrolyzer module. Therefore, the electrolyzer state constraint conditions also include the following formulas 17, 18, and 19.

[0165] The process of the electrolyzer module switching from the hot standby state or the working state to the cold standby state is the shutdown process of the electrolyzer module. Therefore, the electrolyzer operating state constraint conditions include: when the previous scheduling moment of the electrolyzer module is in the hot standby state or the working state, and the current scheduling moment is in the cold standby state, this Z i,t (the representation parameter indicating whether the i-th electrolyzer module undergoes a shutdown process at the t-th scheduling moment) should have a value of 1 and should not be 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 parameter of the hot standby state at the previous scheduling moment of the electrolyzer module, the parameter values of the representation parameter of the working state at the previous scheduling moment, and the parameter values of the representation parameter of the cold standby state at the current scheduling moment should not be greater than the parameter value of the representation parameter of the shutdown process at the current scheduling moment.

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

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

[0170] The process of the electrolyzer module switching from the cold standby state to the hot standby state or from the working state is the shutdown process of the electrolyzer module. Therefore, the operating state constraint conditions of the electrolyzer can also include: when the electrolyzer module was in the cold standby state at the previous scheduling moment and is in the hot standby state or the working state at the current scheduling moment, the Y i,t (The representation parameter indicating whether the i-th electrolyzer module starts up at the t-th scheduling moment) should be 1 and should not be 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, at the previous scheduling moment, the electrolyzer module was in the cold standby state, and at the current scheduling moment, the electrolyzer module is in the hot standby state. Formula 18 is 0 + 1 + 1 - 1 ≤ 1, and the inequality holds.

[0173] For example, when the electrolyzer module remains in the cold standby state at the current scheduling moment, the electrolyzer modules at the previous and current scheduling moments are both in the cold standby state, and 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 the hot standby state, the working state, or the cold standby state at the same time. That is, the operating state of the electrolyzer module needs to meet the condition that at least two of the working state, the cold standby state, and the hot standby state do not appear simultaneously. That is, the operating state constraint conditions of the electrolyzer can also include the following formula 19.

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

[0176] According to the exemplary embodiment, the electrolytic cell module not only has state constraints but also has operating power constraints. The operating power constraint conditions of the electrolytic cell include: the input electric power of the electrolytic cell 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 electrolytic cell 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 electrolytic cell module in the cold standby state should be the cold standby power, and the input electric power of the electrolytic cell module in the hot standby state should be the hot standby power.

[0177] Optionally, the operating power constraint conditions of the electrolytic cell may include the following formula 20.

[0178]

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

[0180] According to the exemplary embodiment, the adjustment rate of the operating power of the electrolytic cell module is restricted by the upward adjustment rate limit and the downward adjustment rate limit. Therefore, the electrolytic cell module constraint conditions also include the operating power adjustment rate constraint conditions of the electrolytic cell.

[0181] Optionally, the operating power adjustment rate constraint conditions of the electrolytic cell may be the following formula 21.

[0182]

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

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

[0185] In steps S102 and 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 power 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] Exemplarily, taking a new energy hydrogen production system including 1 group of wind power generation modules, 1 group of photovoltaic power generation modules, 1 group of energy storage modules, and 4 electrolyzer modules corresponding to 4 electrolyzers as an example for illustration. And, the scheduling period is from 00:00 to 23:00, the scheduling time period is 1 h, and each whole hour moment is a scheduling moment. That is, a scheduling plan for one scheduling moment is formulated at 00:00, a scheduling plan for one scheduling moment is formulated at 01:00, and so on.

[0188] The performance parameters of each module respectively include: the rated power of the wind power generation module is 25 MW; the rated power of the photovoltaic power generation module is 10 MW; the predicted output data of wind and light is as Figure 4 shown; the rated capacity of the energy storage module is 15 MWh; 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 5 MW; the maximum dischargeable power of the energy storage module is 5 MW; the charge and discharge efficiency of the energy storage module is 95%; the initial SOC (State of Charge, battery charge state) of the energy storage module is 33%; the rated power of each electrolyzer is 2.5 MW; the hot standby power of each electrolyzer module is 0.15 MW, and the cold standby power is 0.025 MW; when the electrolyzer is in the working state, the input electric power range is 10% - 100% of the rated power; the operation cost coefficient of the electrolyzer is 35; the start-up cost coefficient of the electrolyzer is 65, the shutdown cost coefficient of the electrolyzer is 50, the system hydrogen production benefit coefficient is 0.34; the penalty cost coefficient for wind and light abandonment 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] The and and

[0192] and

[0193]

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

[0195] 0 ≤ P t wd ≤ P t wd,max ; and

[0196] 0 ≤ P t pv ≤ P t pv,max ; and

[0197] and and

[0198] and and

[0199] and

[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 ; and

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

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

[0204] and

[0205]

[0206] In step S104, the electronic device uses the operation scheduling objective function, the operation scheduling constraint conditions, and as Figure 4The shown wind power prediction output data is input into a preset optimization solver to calculate, at each scheduling moment, the power generation power of the wind power generation module, the power generation power of the photovoltaic power generation module, the representation parameter values of the charging state of the energy storage module, the representation parameter values of the discharging state of the energy storage module, the charging and discharging power of the energy storage module, the parameter values of the representation parameters of the working state of each electrolyzer module, the parameter values of the representation parameters of the hot standby state of each electrolyzer module, the parameter values of the representation parameters of the cold standby state of each electrolyzer module, and the input electric power magnitude of each electrolyzer module, 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 power of the wind power generation module and the power generation power of the photovoltaic power generation module at each scheduling moment. For example, the power generation scheduling plan of this example determined by the electronic device is as Figure 5 shown. Referring to Figure 5 , when there is wind and light output, the electrolyzer module is in the working state; when there is no wind and light output, such as from 0:00 to 7:00 and from 18:00 to 19:00, all electrolyzer modules are in the cold standby state. At 8:00 and 20:00, some electrolyzer modules switch to the hot standby state to respond to the change of wind and light output, so as to maximize the hydrogen production amount and improve the economic benefit of the system.

[0208] The charge and discharge scheduling plan includes the representation parameter values of the charging state of the energy storage module, the representation parameter values of the discharging state of the energy storage module, and the charging and discharging power of the energy storage module at each scheduling moment, so as to plan whether the energy storage module should be in the charging state or the discharging state at each scheduling moment, and what the corresponding charging and discharging power is. For example, the charge and discharge scheduling plan of this example determined by the electronic device is as Figure 6 shown. Referring to Figure 6 , the energy storage module is the main power supply for the electrolyzer module in the cold standby state and the hot standby state. And when the wind and light output fluctuates, the energy storage module plays a role in power support to avoid the loss of system operation benefit caused by the short-term state switching of the electrolyzer module.

[0209] The electrolyzer operation state switching plan includes the parameter values of the representation parameters of the working state of each electrolyzer module, the parameter values of the representation parameters of the hot standby state of each electrolyzer module, and the parameter values of the representation parameters of the cold standby state of each electrolyzer module at each scheduling moment, so as to plan the operation state of the electrolyzer module at each scheduling moment. The electrolyzer operation state switching plan corresponding to the above example is as Figure 7 shown.

[0210] The power consumption scheduling plan corresponding to each electrolyzer module includes the input electric power magnitude corresponding to each electrolyzer module at each scheduling moment. The power consumption scheduling plan of the electrolyzer module corresponding to the above example is as Figure 8 shown.Figure 8 Each of the numbers in it corresponds to the following representations respectively: 0 - cold standby state, 1 - hot standby state, 2 - working state.

[0211] Referring to Figure 7 and Figure 8 , it can be seen that due to the decline of wind and light output at 14:00, the 3rd and 4th electrolyzer modules are switched to the hot standby state, and the 3rd and 4th electrolyzer modules resume the working state at 15:00, avoiding the shutdown cost caused by the switch from the working state to the cold standby state and the startup cost caused by the switch from the cold standby state to the working state. In addition, the 3rd and 4th electrolyzer modules respond to the changes in wind and light output, are in the cold standby state from 17:00 to 21:00, and are switched to the hot standby state at 22:00. In the case of insufficient wind and light output for a long time, they are switched to the cold standby state to reduce the waste of electric energy and use more electric energy for electrolytic hydrogen production, thereby improving the economic benefits of the system.

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

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

[0214] According to another aspect of this application, the embodiments of this application introduce a device for determining the operation scheduling plan of a new energy hydrogen production system from the perspective of virtual modules or virtual units. For details, see the following embodiments.

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

[0216] As Figure 9 shown, the device for determining the operation scheduling plan of a 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 a plurality of modules, and the plurality of modules include at least two electrolyzer modules. Refer to Figure 9With reference to the foregoing description, the model generation module 901 is used to generate mathematical models corresponding to multiple modules, where at least two electrolyzer modules respectively correspond to their own mathematical models. The calculation module 902 is used to determine the operation scheduling objective function according to the mathematical models. The calculation module 902 is further used to determine the operation scheduling constraint conditions according to the mathematical models. The calculation module 902 is further used to determine the operation scheduling plan corresponding to the hydrogen production system powered by new energy according to the scheduling objective function and the scheduling constraint conditions. The mathematical model of the electrolyzer module includes 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 electrolyzer module in each operating state; the operating states include a working state, a cold standby state, and a hot standby state.

[0218] According to another aspect of the present application, embodiments of the present application also introduce an electronic device from the perspective of an entity device. Refer to Figure 10 , Figure 10 The electronic device 1000 shown in includes: a processor 1001 and a memory 1003. Among them, the processor 1001 and the memory 1003 are connected, such as connected through a bus 1002. Optionally, the electronic device 1000 may further include a transceiver 1004. It should be noted that in practical 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] The processor 1001 may be a CPU (Central Processing Unit, central processor), a general-purpose processor, a DSP (Digital Signal Processor, data signal processor), an ASIC (Application Specific Integrated Circuit, application-specific integrated circuit), an FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules, and circuits described in connection with the disclosure of the present application. The processor 1001 may also be a combination that implements a computing function, such as a combination including one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0220] The bus 1002 may include a path for transmitting information between the above components. The bus 1002 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or an EISA (Extended Industry Standard Architecture, extended industry standard architecture) bus, etc. The bus 1002 may be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation,Figure 10 It is represented by only one thick line in the figure, but it does not mean that there is only one bus or 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. It can also be an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory), or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, 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 thereto.

[0222] The memory 1003 is used to store the application program code for implementing the solution of this application, and is controlled by the processor 1001 to execute. The processor 1001 is used to execute the application program code stored in the memory 1003 to implement the content shown in the foregoing method embodiments.

[0223] Among them, the electronic device includes but is not limited to: mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be a server, etc. Figure 10 The electronic device shown is only an example and should not bring any limitations to the functions and usage scope of the embodiments of this application.

[0224] According to another aspect of this application, embodiments of this application propose a computer-readable storage medium, on which a computer program is stored. When it runs on a computer, it enables the computer to execute the corresponding content in the foregoing method embodiments. The storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.

[0225] According to another aspect of this application, embodiments of this application propose a computer program product, which 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 method described above.

[0226] Finally, it should be noted that the above are only the preferred embodiments of the present application and are not used to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions of the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within 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 an operation scheduling objective function according to the mathematical model, wherein the operation scheduling objective function is set according to an optimization target; Determining operation scheduling constraints based on the mathematical model; According to the operation scheduling objective function and the operation scheduling constraint conditions, determine the operation scheduling plan corresponding to the new energy hydrogen production system, 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; 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; Determining the operation scheduling objective function according to the mathematical model includes: According to the hydrogen production model corresponding to each electrolyzer module, a system hydrogen production benefit model is determined, wherein the system hydrogen production benefit model is a model that describes the hydrogen production benefits jointly generated by each electrolyzer module in the new energy hydrogen production system; Determining a system operation cost model of the new energy hydrogen production system; Determining an operation scheduling objective function according to the system hydrogen production benefit model and the system operation cost model; The multiple modules of the new energy hydrogen production system block also include energy storage modules, photovoltaic power generation modules and wind power generation modules; 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 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; 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; Determining the constraints of the electrolyzer modules according to the hydrogen production model corresponding to each electrolyzer module; Determining the operation scheduling plan corresponding to the new energy hydrogen production system according to the operation scheduling objective function and the operation scheduling constraint condition comprises: determining the operation scheduling plan using a mixed integer linear programming algorithm; Determining the system hydrogen production benefit model according to the hydrogen production model corresponding to each electrolyzer module includes: substituting the hydrogen production model into the system hydrogen production benefit model, and combining various parameters of the new energy hydrogen production system to calculate the system hydrogen production benefit model.

2. The method according to claim 1, 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 electrolyzer 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 is the penalty cost coefficient for abandoned light; is the maximum output of the photovoltaic power generation module at the tth scheduling moment; is the planned output of the photovoltaic power generation module at the tth scheduling time; c wd Penalty cost factor for wind curtailment; is the maximum output of the wind power generation module at the tth scheduling moment; 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.

3. The method according to claim 1, 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.

4. The method according to any one of claims 1 to 3, 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; 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 a cold standby state; 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.

5. The method according to claim 4, characterized in that The system power constraints include: in, is the photovoltaic power generation power of the photovoltaic power generation module at the tth scheduling time, is the wind power generation power of the wind power generation module at the tth scheduling moment, 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, is the charging power of the energy storage module at the tth scheduling moment.

6. The method according to claim 1, characterized in that The renewable energy power generation constraints include photovoltaic output constraints and wind power output constraints; The photovoltaic output constraint conditions include: The wind power output constraint conditions include: in, is the actual power of the photovoltaic power generation module at the tth scheduling time, 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; is the actual power of the wind power generation module at the tth scheduling moment; 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.

7. The method according to claim 1, 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: in, 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; 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.

8. The method according to claim 1, 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 experienced a shutdown process at the t-th scheduling time; is the cold standby power of the i-th electrolyzer module; is the hot standby power of the i-th electrolyzer module; 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; is the upper limit of the input power of the i-th electrolyzer module in working state; The rate limit for increasing the input power of the i-th electrolyzer module; The upward rate limit and downward rate limit of the input power to the i-th electrolyzer module.

9. A device for determining a scheduling plan for a new energy hydrogen production system, characterized in that: The device is used to perform the method according to any one of claims 1 to 8, the new energy hydrogen production system includes multiple modules, the multiple modules include at least two electrolyzer modules, and the device includes: 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.

10. 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 8.

11. 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 8 is implemented.

12. 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 8.

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