Optimization scheduling method, system and electronic equipment for electric-hydrogen coupling system

Abstract

The present application discloses an optimization scheduling method, system and electronic equipment for an electric-hydrogen coupling system, wherein the method includes: obtaining the system structure of the electric-hydrogen coupling system; constructing a first scheduling model including a cost function and constraints based on the coupling relationship between energy storage equipment, generator sets, hydrogen production equipment and power grid in the system structure, wherein the constraints include at least operation constraints between multiple hydrogen production equipment under different working conditions, energy storage equipment constraints, power grid energy interaction constraints, and generator set operation constraints; obtaining the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system, and optimizing and solving the first scheduling model based on the day-ahead generator set output data and load demand data to obtain the first scheduling strategy of the electric-hydrogen coupling system; and optimizing the day-ahead scheduling of the electric-hydrogen coupling system based on the first scheduling strategy. Through the above method, the stability and reliability of the system can be improved.

Description

Technical Field

[0001] The present application relates to the field of wind and solar energy new energy technology, and in particular to an optimization scheduling method, system and electronic equipment for an electric-hydrogen coupling system. Background Art

[0002] As a green secondary energy with great development prospects and wide application, hydrogen energy plays a significant role in energy transformation and development. However, the new energy hydrogen production system is different from the traditional power grid. The new energy hydrogen production system is interfered by a large number of uncertain factors. For example, the uncertainty, intermittency and load volatility of new energy output will bring difficulties to the optimal scheduling of the system. The error between the predicted power and the actual power of the source and load will reduce the system's new energy consumption rate and economic performance. It is crucial to give full play to the role of comprehensive demand response, improve energy utilization and reduce system operating costs.

[0003] The optimization scheduling of existing electric-hydrogen coupling systems is mostly aimed at optimizing grid scheduling, without considering the interaction between multiple devices in the system, as well as the impact of the randomness and fluctuation of new energy on hydrogen production equipment. The stability and reliability of the system are low. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide an optimization scheduling method, system and electronic equipment for an electric-hydrogen coupling system to solve the problem of low stability and reliability of the electric-hydrogen coupling system.

[0005] In order to solve the above technical problems, the first aspect of this specification provides an optimization scheduling method for an electric-hydrogen coupling system, comprising:

[0006] Obtain the system structure of the electric-hydrogen coupling system;

[0007] Based on the coupling relationship between the energy storage device, the generator set, the hydrogen production device and the power grid in the system structure, a first scheduling model including a cost function and constraint conditions is constructed; the constraint conditions at least include operation constraints between multiple hydrogen production devices under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints;

[0008] Acquire the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead generator set output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system;

[0009] The electric-hydrogen coupling system is optimally scheduled based on the first scheduling strategy.

[0010] In some embodiments of the present specification, the plurality of hydrogen production equipment includes a first hydrogen production equipment and a second hydrogen production equipment, wherein the first hydrogen production equipment consumes more electricity when producing hydrogen by electrolysis than the second hydrogen production equipment consumes when producing hydrogen by electrolysis;

[0011] The operating constraints between multiple hydrogen production equipment under different working conditions are determined in the following way:

[0012] When the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, the hydrogen production constraint conditions of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the maximum hydrogen production power of the first hydrogen production equipment at the current moment, the minimum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment;

[0013] When the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the minimum hydrogen production power of the first hydrogen production equipment at the current moment, the maximum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

[0014] In some embodiments of the present specification, the operation constraints between the multiple hydrogen production equipment under different working conditions include: a first operation constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, and a second operation constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set;

[0015] The first operating constraint is expressed by the following formula:

[0016] ;

[0017] ;

[0018] Among them, P hyd (t) represents the electrolysis power of the hydrogen production equipment, P ALK (t) and P ALK (t-1) represents the electrolysis power of the ALK electrolyzer in the first hydrogen production equipment at time t and time t-1, P PEM (t) and P PEM (t-1) represents the electrolysis power of the PEM electrolyzer in the second hydrogen production equipment at time t and time t-1, P ALK,max (t) represents the maximum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,min (t) represents the minimum hydrogen production power that the PEM electrolyzer can withstand at time t, ΔP ALK max and ΔP PEM maxRepresent the maximum ramp power of ALK electrolyzer and PEM electrolyzer, P ALKN and P PEMN denote the power of ALK electrolyzer and PEM electrolyzer respectively, and a denotes a constant coefficient;

[0019] The second operating constraint is expressed by the following formula:

[0020] ;

[0021] Among them, P ALK,min (t) represents the minimum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,max (t) represents the maximum hydrogen production power that the PEM electrolyzer can withstand at time t, and b and c represent constant coefficients.

[0022] In some embodiments of the present specification, the operation constraints between the multiple hydrogen production equipment under different working conditions further include hydrogen production equipment characteristic constraints, and the hydrogen production equipment characteristic constraints are expressed by the following formula:

[0023] ;

[0024] Among them, P ALK min and P ALK max Indicates the lower and upper limits of the hydrogen production power of the ALK electrolyzer, P PEM min and P PEM max They represent the lower and upper limits of the hydrogen production power of the PEM electrolyzer, P ALK (t) and P ALK (t-1) represents the hydrogen production power of the ALK electrolyzer at time t and time t-1, P PEM (t) and P PEM (t-1) represents the hydrogen production power of the PEM electrolyzer at time t and time t-1.

[0025] In some embodiments of the present specification, the operation constraints between multiple hydrogen production equipment under different working conditions include a hydrogen production equipment capacity configuration constraint, and the hydrogen production equipment capacity configuration constraint is expressed by the following formula:

[0026] ;

[0027] Among them, P ALM (t) and P PEM (t) represents the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

[0028] In some embodiments of the present specification, the cost function is expressed by the following formula:

[0029] ;

[0030] ;

[0031] Where F represents the economic cost of the electric-hydrogen coupling system, W grid (t) represents the cost of purchasing electricity to produce hydrogen or the revenue from grid-connected electricity sales in the electricity-hydrogen coupling system, W sell (t) represents the revenue from hydrogen sales, W batt (t) represents the operation and maintenance cost of the energy storage battery, W dg (t) represents the operation and maintenance cost of the generator set, W ap (t) represents the operation and maintenance cost of hydrogen production equipment, W Q (t) represents the heat loss cost of hydrogen production equipment;

[0032] S grid (t) represents the energy interaction between the electric-hydrogen coupling system and the power grid at time t, J price1 (t) represents the electricity price at time t, J price2 (t) represents the price of hydrogen at time t, U H2 (t) represents the amount of hydrogen sold at time t, Z dep1 (t) represents the operation and maintenance coefficient of the energy storage battery at time t, U batt (t) and U batt They represent the remaining capacity of the energy storage battery and the total capacity of the energy storage battery at time t, respectively. dep2 (t) represents the operation and maintenance coefficient of the photovoltaic power generation unit, U pv (t) represents the photovoltaic power generation at time t, Z dep3 (t) represents the operation and maintenance coefficient of the wind turbine generator set at time t, U wind (t) represents the wind power generation at time t, Z dep4 (t) represents the operation and maintenance coefficient of the ALK electrolyzer at time t, U ALK (t) represents the hydrogen production of the ALK electrolyzer at time t, Z dep5 (t) represents the operation and maintenance coefficient of the PEM electrolyzer at time t, U PEM (t) represents the hydrogen production of the PEM electrolyzer at time t, Z dep6 (t) represents the heat loss coefficient at time t, Q(t) represents the heat loss of the hydrogen production equipment at time t, P ALK and P PEM They represent the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

[0033] In some embodiments of the present specification, the energy storage device constraints include operating state constraints of the energy storage battery and operating state constraints of the hydrogen storage device;

[0034] The operating state constraint of the energy storage battery is expressed by the following formula:

[0035] ;

[0036] Among them, SOC min and SOC min They represent the lower and upper limits of the state of charge of the energy storage battery, respectively. SOC (t) represents the charge of the energy storage battery at time t.

[0037] The operating state constraint of the hydrogen storage device is expressed by the following formula:

[0038] ;

[0039] Among them, S HSmin and S HSmin They represent the lower and upper limits of the hydrogen storage state of the hydrogen storage device, S HS (t) represents the hydrogen storage capacity of the hydrogen storage device at time t.

[0040] In some embodiments of this specification, the constraint condition further includes a power allocation constraint, which is used to constrain the power between the output power of the generator set and the power of the hydrogen production equipment, the power grid, and the energy storage equipment. The power allocation constraint is expressed by the following formula:

[0041] ;

[0042] Among them, S wind,pv (t) represents the total output power of the generator set, P hyd (t), P batt (t) and P grid (t) represent the output power of the hydrogen production equipment, the output power of the energy storage equipment and the output power of the power grid respectively, a1, a2 and a3 represent weight coefficients, a1+a2+a3=1, and a1 is much larger than a2 and a3.

[0043] In some embodiments of this specification, after optimizing and solving the first scheduling model to obtain the first scheduling strategy of the electric-hydrogen coupling system, the method further includes:

[0044] Based on the system structure, a second scheduling model including a power fluctuation function and the constraint condition is constructed, wherein the power fluctuation function is used to characterize the power fluctuation between the intra-day power of the electric-hydrogen coupling system and the day-ahead predicted power;

[0045] Acquiring actual output data of each device in the electric-hydrogen coupling system based on a preset time interval;

[0046] Optimizing and solving the second scheduling model based on the actual output data and the first scheduling strategy to obtain a second scheduling strategy for the electric-hydrogen coupling system;

[0047] The electric-hydrogen coupling system is optimally scheduled intraday based on the second scheduling strategy.

[0048] In some embodiments of this specification, the power fluctuation function is expressed by the following formula:

[0049] ;

[0050] Wherein, F represents the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power, k represents the initial optimization time, Δk represents the preset time interval, λ1, λ2, λ3, λ4, λ5, λ6 represent weight coefficients, and P batt (k), P ALK (k), P PEM (k) represents the actual output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time k, respectively. batt_ref (t), P ALK_ref (t), P PEM_ref (t) respectively represent the predicted output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time t in the first scheduling strategy, grid (k) represents the actual energy interaction power between the power grid and the electric-hydrogen coupling system at time k, P grid_ref (t) represents the predicted energy interaction power between the power grid and the electric-hydrogen coupling system at time k in the first dispatching strategy; S OC (k), S SH (k) represent the actual charge state of the electric storage device and the actual hydrogen storage state of the hydrogen storage device at time k, respectively. OC_ref (t), S SH_ref (t) respectively represent the predicted charge state of the electric storage device and the predicted hydrogen storage state of the hydrogen storage device at time t in the first scheduling strategy.

[0051] A second aspect of this specification provides an optimization scheduling system for an electric-hydrogen coupling system, comprising:

[0052] A first acquisition module is used to acquire the system structure of the electric-hydrogen coupling system;

[0053] A first model building module is used to build a first scheduling model including a cost function and constraint conditions based on the coupling relationship between the energy storage device, the generator set, the hydrogen production device and the power grid in the system structure; the constraint conditions at least include operation constraints between multiple hydrogen production devices under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints;

[0054] A first optimization module is used to obtain the day-ahead power generation unit output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead power generation unit output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system;

[0055] The first scheduling module is used to perform day-ahead optimization scheduling on the electric-hydrogen coupling system based on the first scheduling strategy.

[0056] The third aspect of this specification provides an electronic device, comprising: a memory and a processor, the processor and the memory are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the steps of the method described in the first aspect.

[0057] A fourth aspect of the present specification provides a computer storage medium, wherein the computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the method described in the first aspect are implemented.

[0058] A fifth aspect of the present specification provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method described in the first aspect.

[0059] The optimization scheduling method, system and electronic device of the electric-hydrogen coupling system in the embodiment of this specification obtains the system structure of the electric-hydrogen coupling system; based on the coupling relationship between the energy storage device, the generator set, the hydrogen production equipment and the power grid in the system structure, a first scheduling model including a cost function and constraints is constructed, and the constraints include at least the operation constraints between multiple hydrogen production equipment under different working conditions, the energy storage device constraints, the power grid energy interaction constraints, and the generator set operation constraints; the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system are obtained, and the first scheduling model is optimized and solved based on the day-ahead generator set output data and load demand data to obtain the first scheduling strategy of the electric-hydrogen coupling system; the electric-hydrogen coupling system is optimized and scheduled based on the first scheduling strategy. The embodiment of this specification sets multiple hydrogen production equipment in the system by considering the different hydrogen production demands under different working conditions; and considers the coupling relationship between multiple devices of the electric-hydrogen coupling system, constructs the operation constraints of each device, the operation constraints between devices, and the constraints between multiple hydrogen production equipment under different working conditions, and combines the operation costs of each device and between devices to construct a cost function, and fully considers the randomness and volatility of new energy power generation on the dynamic operation of the heavy hydrogen production equipment of the electric-hydrogen coupling system. Furthermore, the first scheduling strategy obtained based on the first scheduling model performs day-ahead scheduling on the electric-hydrogen coupling system, which can improve the stability and reliability of the system and improve the economy of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some implementation methods recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0061] Figure 1 It is a schematic diagram of an optimization scheduling method of an electric-hydrogen coupling system provided in an embodiment of this specification;

[0062] Figure 2 It is a schematic diagram of an optimization scheduling method of an electric-hydrogen coupling system provided in an embodiment of this specification;

[0063] Figure 3 It is a schematic diagram of an optimization scheduling method of an electric-hydrogen coupling system provided in an embodiment of this specification;

[0064] Figure 4 The figure shows a schematic diagram of the total cost of operating a system provided by an embodiment of this specification;

[0065] Figure 5 It is a schematic diagram showing the cost of a standard hydrogen provided in the embodiment of this specification;

[0066] Figure 6 The figure shows a schematic diagram of an optimization scheduling system of an electric-hydrogen coupling system provided in an embodiment of this specification;

[0067] Figure 7 Shown is a schematic diagram of an electronic device provided in an embodiment of this specification. DETAILED DESCRIPTION

[0068] In order to enable those skilled in the art to better understand the technical solutions in this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0069] It should be noted that the user-related information and data involved in the embodiments of this specification are all information and data authorized by the user or fully authorized by relevant parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users or relevant parties to choose to authorize or refuse.

[0070] It should also be noted that in the embodiments of this specification, certain software, components, models and other existing solutions in the industry may be mentioned. They should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of this application, but it does not mean that the applicant has or will necessarily use the solution.

[0071] The hybrid renewable energy system (HyRES) with green hydrogen energy storage system (HESS) consists of distributed power sources such as wind power and photovoltaics, power loads, battery energy storage units (BESS), hydrogen energy storage, and monitoring, protection, and automation systems. It makes full use of the complementary characteristics between wind power and photovoltaics, and then uses wind-solar coupling to produce hydrogen energy storage to improve the power supply reliability of the entire system, providing continuous power for areas with a high proportion of new energy power supply; when the load is low, wind power, photovoltaics, and electrolysis hydrogen production system produce hydrogen energy storage for uninterrupted power supply in emergencies. In order to ensure the normal operation of the hybrid system based on renewable energy, guarantee demand and improve system performance, it is of great significance to optimize the planning and energy management strategy of the electric-hydrogen coupling system including wind power, photovoltaics, hydrogen energy, energy storage and other elements. Appropriate economic scheduling and energy management strategies enable the system to meet demand, extend the service life of components, and reduce operating costs, thereby maximizing system performance and providing technically and economically feasible options. When optimizing the scheduling of the electric-hydrogen coupling system, the existing technology does not take into account the interaction between multiple devices in the system, as well as the impact of the randomness and fluctuation of new energy on the hydrogen production equipment, and the stability and reliability of the system are low.

[0072] In order to solve the above problems, the embodiments of this specification provide an optimization scheduling method, system and electronic equipment for an electric-hydrogen coupling system. By considering the different hydrogen production demands under different working conditions, multiple hydrogen production equipment are set in the system; and considering the coupling relationship between multiple devices in the electric-hydrogen coupling system, the operation constraints of each device, the operation constraints between devices, and the constraints between multiple hydrogen production equipment under different working conditions are constructed, and the cost function is constructed in combination with the operation costs of each device and between devices, which fully considers the impact of the randomness and volatility of new energy power generation on the dynamic operation of the heavy hydrogen production equipment of the electric-hydrogen coupling system. Furthermore, the first scheduling strategy obtained based on the first scheduling model is used to schedule the electric-hydrogen coupling system on the day before, which can improve the stability and reliability of the system and improve the economy of the system.

[0073] It can be understood that the method provided in the present application can be applied to electronic devices, and the electronic devices can refer to electronic devices with data calculation, processing and storage capabilities. The electronic device can be a terminal such as a PC (Personal Computer), a tablet computer, a smart phone, a wearable device, an intelligent robot, etc.; it can also be a server. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0074] The following describes an optimization scheduling method for an electric-hydrogen coupling system provided in an embodiment of the present application in conjunction with the accompanying drawings.

[0075] Figure 1 Shown is a schematic diagram of the optimization scheduling method for the electric-hydrogen coupling system provided in the embodiments of this specification. Although this specification provides method operation steps or system structures as shown in the following embodiments or drawings, the method or system may include more or fewer operation steps or module units after partial merger based on routine or no creative labor. In the steps or structures where there is no necessary causal relationship logically, the execution order of these steps or the module structure of the system is not limited to the execution order or module structure shown in the embodiments of this specification or the drawings. When the method or module structure described is applied to the actual system, server or terminal product, it can be executed sequentially or in parallel according to the method or module structure shown in the embodiments or drawings (for example, in the environment of parallel processors or multi-threaded processing, and even including the implementation environment of distributed processing and server clusters). As Figure 1 As shown, the method may include:

[0076] S101: Obtaining the system structure of the electric-hydrogen coupling system.

[0077] It can be understood that the system structure of the electric-hydrogen coupling system can include all the equipment in the system, such as distributed generators, power storage equipment, hydrogen storage equipment, hydrogen production equipment, power grid-side power equipment, transmission lines, etc. It can also include the association relationship between various equipment, such as the relationship between generators and power storage equipment, hydrogen production equipment, and power grid, and the relationship between hydrogen production equipment and power grid, hydrogen storage equipment, etc. Among them, distributed generators can include new energy generators such as wind power generators and photovoltaic generators. Through the analysis of the system structure, the coupling relationship between the equipment in the system can be determined, and based on the collaborative work between the equipment, a first scheduling model for day-ahead scheduling of the electric-hydrogen coupling system can be constructed.

[0078] S102: Based on the coupling relationship between the energy storage device, the generator set, the hydrogen production equipment and the power grid in the system structure, a first scheduling model including a cost function and constraint conditions is constructed; the constraint conditions at least include operation constraints between multiple hydrogen production equipment under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints.

[0079] It can be understood that the cost function can be used to characterize the economic cost of operating the electric-hydrogen coupling system, which may include the cost of purchasing electricity to produce hydrogen and / or the income from grid-connected electricity sales, hydrogen sales income, operation and maintenance costs of various equipment, heat loss costs of hydrogen production equipment, etc.

[0080] It can be understood that under different working conditions, the demand for hydrogen production is different. Considering that the electric hydrogen coupling system may include a variety of hydrogen production equipment, the hydrogen production principles adopted by different hydrogen production equipment are different. Therefore, the operation of multiple hydrogen production equipment can be constrained in combination with different working conditions, which can further improve the economy of the system. In addition, considering the operating requirements of different equipment, the coupling relationship and coordinated interactive control between the equipment are constrained by constructing grid energy interaction constraints, which can further improve the stability and reliability of the system. Of course, the constraints constructed in the embodiments of this specification may also include other constraints in addition to the above constraints. For example, transmission line transmission power constraints, power balance constraints, etc.

[0081] S103: Obtain the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead generator set output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system.

[0082] It can be understood that the current generator output data and load demand data can be forecast data, that is, based on the current new energy resources and electricity consumption at the grid end, the output range and load demand of the generator are forecasted.

[0083] In some embodiments of this specification, the day-ahead generator set output data and load demand data may be obtained by predicting by collecting new energy fluctuation data (such as wind and solar fluctuation data) based on a preset time interval when the generator set output fluctuates. The preset time interval may be set based on the application requirements of the actual application scenario.

[0084] In some embodiments of the present specification, the wind farm capacity can be 300MW, the photovoltaic capacity can be 200MW, the battery energy storage system can be 80MW / 160MWh, and the hydrogen storage system can be 200MW / 100MW. The wind and photovoltaic power generation data of a certain wind-solar coupling power station can be collected, and the sampling interval is one point every 15 minutes to obtain the day-ahead wind and solar load power forecast curve, and the system power difference is obtained according to the existing wind and solar load curve. The control algorithm is used to optimize the output of the energy storage system with the best economy and the minimum wind and solar abandonment rate to fill the system power difference.

[0085] After obtaining the day-ahead generator output data and load demand data, the day-ahead generator output data and load demand data can be substituted into the first scheduling model as the generator output constraint and the compliance demand constraint in the first scheduling model, and the first scheduling model is optimized and solved to obtain the first scheduling strategy. The first scheduling strategy can include the output scheduling of each device in the electric-hydrogen coupling system, and the output scheduling can include output power, output time, start time, end time, etc.

[0086] In some embodiments of this specification, the scheduling period of the first scheduling strategy can be 24.00h, and the scheduling time scale can be 1.00h. Based on the output data of the generator set and the load demand data on the day before, and the above-mentioned first scheduling model, a mixed integer linear programming algorithm is used for global optimization solution, and the first scheduling strategy can be obtained as the optimal scheduling result on the day before. The first scheduling model can realize the hourly power allocation of the economic scheduling plan of the electric hydrogen coupling system on the day before. In the embodiment of this specification, when optimizing and solving, the output of hydrogen production of hydrogen storage equipment and hydrogen fuel cell power generation and the output scheduling plan of the power storage equipment on the day before can be formulated according to the forecast data of wind, light and load on the day before, the dispatching instructions of the power grid on the day before, and the peak-valley price difference of the power grid, so as to ensure that each device in the electric hydrogen coupling system fully absorbs renewable energy power and minimizes the cost of purchasing electricity. It can be understood that the scheduling period and scheduling time scale of the above-mentioned first scheduling strategy can also adopt other values, which can be set based on actual application requirements, and this specification does not limit this.

[0087] Specifically, MATLAB can be used for programming, and the optimization solving software such as CPLEX solver in the YAMIP toolbox can be called to solve the model. By adjusting the constraints including distributed power sources and energy storage, power balance constraints, transmission power constraints of transmission lines, electrolyzer characteristics constraints, grid energy interaction constraints, hydrogen energy system constraints, wind power output constraints and photovoltaic output constraints, the day-ahead energy storage state quantity S when the economic cost function of the wind-solar coupled hydrogen production system takes the minimum value can be obtained. OC_ref (t) and charge and discharge power P batt_ref (t), output P of ALK electrolyzer and PEM electrolyzer ALK_ref (t), P PEM_ref (t), hydrogen storage system state quantity S SH_ref (t). A mixed integer linear programming algorithm is used to perform global optimization and obtain the first scheduling strategy.

[0088] S104: Performing day-ahead optimal scheduling of the electric-hydrogen coupling system based on the first scheduling strategy.

[0089] Specifically, the output of each device in the electric-hydrogen coupling system can be controlled based on the first scheduling strategy to achieve day-ahead optimal scheduling of the electric-hydrogen coupling system.

[0090] In some embodiments of the present specification, the cost function may be expressed by the following formula:

[0091] Formula (1)

[0092] Formula (2)

[0093] Where F can represent the economic cost of the electric-hydrogen coupling system, W grid (t) can represent the cost of purchasing electricity to produce hydrogen or the income from grid-connected electricity sales in the electricity-hydrogen coupling system. Negative numbers represent grid-connected electricity, and positive numbers represent purchased electricity. sell (t) can represent the revenue from hydrogen sales, W batt (t) can represent the operation and maintenance cost of the energy storage battery, W dg (t) can represent the operation and maintenance cost of the generator set, W ap (t) can represent the operation and maintenance cost of hydrogen production equipment, W Q (t) can represent the heat loss cost of hydrogen production equipment.

[0094] S grid (t) can represent the energy interaction between the electric-hydrogen coupling system and the power grid at time t, J price1 (t) can represent the electricity price at time t, J price2 (t) can represent the price of hydrogen at time t, U H2 (t) can represent the amount of hydrogen sold at time t, Zdep1 (t) can represent the operation and maintenance coefficient of the energy storage battery at time t, U batt (t) and U batt It can represent the remaining capacity of the energy storage battery and the total capacity of the energy storage battery at time t, respectively. dep2 (t) can represent the operation and maintenance coefficient of the photovoltaic power generation unit, U pv (t) can represent the photovoltaic power generation at time t, Z dep3 (t) can represent the operation and maintenance coefficient of the wind turbine generator set at time t, U wind (t) can represent the wind power generation at time t, Z dep4 (t) can represent the operation and maintenance coefficient of the ALK electrolyzer at time t, U ALK (t) can represent the hydrogen production of the ALK electrolyzer at time t, Z dep5 (t) can represent the operation and maintenance coefficient of the PEM electrolyzer at time t, U PEM (t) can represent the hydrogen production of the PEM electrolyzer at time t, Z dep6 (t) can represent the heat loss coefficient at time t, Q(t) can represent the heat loss of the hydrogen production equipment at time t, P ALK and P PEM can represent the hydrogen production power of the ALK electrolyzer and the PEM electrolyzer at time t respectively. dep6 The values ​​can be 0.3 yuan / (kW·day), 0.98 yuan / (kW·day), 0.89 yuan / (kW·day), 0.34 yuan / (kW·day), 1.09 yuan / (kW·day), 0.1 yuan / (kW·day), J price2 (t) can be taken as 2.5 yuan / m 3 .

[0095] In the embodiments of this specification, considering that the total system cost should be minimized as much as possible when optimizing the scheduling of the electric-hydrogen coupling system a day ago, the cost structure mainly considers six parts. The first part is the cost of purchasing electricity to produce hydrogen or the income from grid-connected electricity sales of the electric-hydrogen coupling system; the second part is the income from hydrogen sales, because the hydrogen produced by the electrolyzer has good economic benefits; the third part is the output cost of the distributed generator set, which reduces the cost while ensuring power supply; the fourth part is the operation and maintenance cost of the power storage equipment (such as batteries), which reduces the cost by reducing unnecessary losses in the power storage equipment; the fifth part is the operation and maintenance cost of the hydrogen production equipment, which reduces the cost by reducing unnecessary losses in the hydrogen production equipment; the fifth part is the heat loss cost of the hydrogen production equipment, which reduces the cost by reducing unnecessary heat loss in the hydrogen production equipment, thereby obtaining the cost function in the above formula (1).

[0096] In some embodiments of the present specification, the plurality of hydrogen production equipment may include a first hydrogen production equipment and a second hydrogen production equipment, wherein the first hydrogen production equipment consumes more electricity when producing hydrogen by electrolysis than the second hydrogen production equipment consumes when producing hydrogen by electrolysis. By constraining the power distribution between hydrogen production equipment, power is distributed to different types of hydrogen production equipment, such as different types of electrolyzers, and the operating economy of the system can be improved.

[0097] The operating constraints between multiple hydrogen production equipment under different working conditions can be determined by:

[0098] When the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the maximum hydrogen production power of the first hydrogen production equipment at the current moment, the minimum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

[0099] When the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the minimum hydrogen production power of the first hydrogen production equipment at the current moment, the maximum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

[0100] It can be understood that when the electrolysis power is less than or equal to the power generation power of the generator set, that is, the hydrogen production consumption of the hydrogen production equipment is less than or equal to the output of the generator set, the output of the generator set can bear the consumption of the hydrogen production equipment, and it can be considered to let the first hydrogen production equipment bear the highest possible hydrogen production power, and let the second hydrogen production equipment bear the remaining hydrogen production power. When the electrolysis power is greater than the power generation power of the generator set, that is, the hydrogen production consumption of the hydrogen production equipment is greater than the output of the generator set, the output of the generator set cannot meet the consumption of the hydrogen production equipment, the hydrogen production equipment needs to purchase electricity from the power grid, and the second hydrogen production equipment can save the cost of purchasing electricity from the power grid. Therefore, the second hydrogen production equipment can be allowed to undertake the main hydrogen production task, so that the first hydrogen production equipment can operate at the lowest possible power. Among them, the first hydrogen production equipment can be an ALK (Alkaline Electrolyte Membrane) electrolyzer, and the second hydrogen production equipment can be a PEM (Proton Exchange Membrane) electrolyzer. Of course, the first hydrogen production equipment and the second hydrogen production equipment may also include other electrolyzers or more electrolyzers. Based on the electrolyzers in the system, the operating constraints between the multiple hydrogen production equipment under the above-mentioned different working conditions can be adaptively adjusted, and this specification does not limit this.

[0101] In some embodiments of the present specification, operating constraints between multiple hydrogen production equipment under different working conditions may include: a first operating constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, and a second operating constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set.

[0102] Specifically, the first operation constraint can be expressed by the following formula:

[0103]

[0104] Formula (3)

[0105] Among them, P hyd (t) can represent the electrolysis power of the hydrogen production equipment, P ALK (t) and P ALK (t-1) can represent the electrolysis power of the ALK electrolyzer in the first hydrogen production equipment at time t and time t-1, P PEM (t) and P PEM (t-1) can represent the electrolysis power of the PEM electrolyzer in the second hydrogen production equipment at time t and time t-1, P ALK,max (t) can represent the maximum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,min (t) can represent the minimum hydrogen production power that the PEM electrolyzer can withstand at time t, ΔP ALK max and ΔP PEM max It can represent the maximum ramp power of ALK electrolyzer and PEM electrolyzer respectively, P ALKN and P PEMN The power of the ALK electrolyzer and the PEM electrolyzer can be represented respectively, and a can represent a constant coefficient. For example, a can be 0.05, and the maximum ramp power of the ALK electrolyzer and the PEM electrolyzer can be 3WM / h and 12WM / h respectively.

[0106] Specifically, the second operation constraint can be expressed by the following formula:

[0107] Formula (4)

[0108] Among them, P ALK,min (t) can represent the minimum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,max (t) may represent the maximum hydrogen production power that the PEM electrolyzer can withstand at time t, and b and c may represent constant coefficients. For example, b and c may be 0.4 and 1.2, respectively.

[0109] In some embodiments of the present specification, the operation constraints between multiple hydrogen production equipment under different working conditions may also include hydrogen production equipment characteristic constraints, and the hydrogen production equipment characteristic constraints may be expressed by the following formula:

[0110] Formula (5)

[0111] Among them, P ALK min and P ALK max It can represent the lower and upper limits of the hydrogen production power of the ALK electrolyzer, P PEM min and P PEM max can represent the lower and upper limits of the hydrogen production power of the PEM electrolyzer, P ALK (t) and P ALK (t-1) can represent the hydrogen production power of the ALK electrolyzer at time t and time t-1, P PEM (t) and P PEM (t-1) may represent the hydrogen production power of the PEM electrolyzer at time t and time t-1. For example, the lower limit and upper limit of the hydrogen production power of the ALK electrolyzer may be 20MW and 200MW, respectively, and the lower limit and upper limit of the hydrogen production power of the PEM electrolyzer may be 20MW and 100MW, respectively.

[0112] In some embodiments of the present specification, the operation constraints between multiple hydrogen production equipment under different working conditions may include a hydrogen production equipment capacity configuration constraint, and the hydrogen production equipment capacity configuration constraint may be expressed by the following formula:

[0113] Formula (6)

[0114] Among them, P ALM (t) and P PEM (t) can represent the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

[0115] In some embodiments of the present specification, the energy storage device constraints may include operating state constraints of the energy storage battery and operating state constraints of the hydrogen storage device.

[0116] Specifically, the operating state constraint of the energy storage battery can be expressed by the following formula:

[0117] Formula (7)

[0118] Among them, SOC min and SOC minThe lower limit and upper limit of the state of charge of the energy storage battery can be represented respectively, and SOC (t) represents the charge of the energy storage battery at time t. Exemplarily, the lower limit and upper limit of the state of charge of the energy storage battery can be 0.2 and 0.8 respectively.

[0119] Specifically, the operating state constraint of the hydrogen storage device can be expressed by the following formula:

[0120] Formula (8)

[0121] Among them, S HSmin and S HSmin can represent the lower and upper limits of the hydrogen storage state of the hydrogen storage device, S HS (t) represents the hydrogen storage capacity of the hydrogen storage device at time t. Exemplarily, the lower limit and upper limit of the hydrogen storage state of the hydrogen storage device may be 0.2 and 0.8, respectively.

[0122] In some embodiments of this specification, the constraint condition may also include a power allocation constraint, which is used to constrain the power between the output power of the generator set and the power of the hydrogen production equipment, the power grid, and the energy storage equipment. The power allocation constraint can be expressed by the following formula:

[0123] Formula (9)

[0124] Among them, S wind,pv (t) represents the total output power of the generator set, P hyd (t), P batt (t) and P grid (t) represent the output power of the hydrogen production equipment, the output power of the energy storage equipment and the output power of the power grid respectively, a1, a2 and a3 represent weight coefficients, a1+a2+a3=1, and a1 is much larger than a2 and a3.

[0125] It can be understood that the total output power of the motor group can be the sum of the output power of multiple generator groups. Most of the total output power of the power generation is used for hydrogen production by hydrogen production equipment, so as to obtain greater economic benefits of the electric-hydrogen coupling system. A small part of the output power is used for the charging and discharging power of energy storage equipment (including power storage equipment and hydrogen storage equipment), and the remaining output power is used for grid energy interaction, that is, grid-connected electricity purchase or sale. Exemplarily, the values ​​of a1, a2 and a3 can be 0.8, 0.15 and 0.05 respectively.

[0126] In some embodiments of the present specification, the grid energy interaction constraint may be expressed by the following formula:

[0127] Formula (10)

[0128] Among them, S gridmin and S grid max can represent the lower and upper limits of grid energy interaction, S grid (t) may represent the grid interaction energy at time t. Exemplarily, the lower limit and upper limit of the grid energy interaction may be -10WM and 10WM, respectively.

[0129] In some embodiments of the present specification, the generator set may include a wind generator set and a photovoltaic generator set, and the generator set operation constraint may be expressed by the following formula:

[0130] Formula (11)

[0131] Among them, P batt (t), P wind (t) and P pv (t) can represent the operating power of the power storage device, wind turbine generator set, and photovoltaic generator set at time t, respectively. batt min and P batt max It can represent the lower and upper limits of the operating power of the power storage device, P wind min and P wind max It can represent the lower and upper limits of the operating power of the wind turbine, P pv min and P pv max It can represent the lower limit and upper limit of the operating power of the photovoltaic generator set. Exemplarily, the lower limit and upper limit of the operating power of the wind generator set can be 20MW and 300MW, and the lower limit and upper limit of the operating power of the photovoltaic generator set can be 0MW and 200MW.

[0132] In some embodiments of the present specification, the constraint condition may further include a power balance constraint. Taking the generator set including a wind generator set and a photovoltaic generator set as an example, the power balance constraint may be expressed by the following formula:

[0133] Formula (12)

[0134] In some embodiments of the present specification, the constraint condition may also include a transmission power constraint of the transmission line, which may be expressed by the following formula:

[0135] Formula (13)

[0136] Among them, P ij (t) can represent the transmission power of the transmission line between node i and node j in the system, P ijmin and P ij max can represent the lower limit and upper limit of the transmission power of the transmission line between node i and node j in the system respectively.

[0137] In some embodiments of the present specification, the constraints may also include the hydrogen production capacity constraints of the ALK electrolyzer and the PEM electrolyzer, which may be expressed by the following formula:

[0138] Formula (14)

[0139] In some embodiments of this specification, the constraint condition may also include a hydrogen sales amount constraint, which may be expressed by the following formula:

[0140] Formula (15)

[0141] Among them, U H2 (t) can represent the amount of hydrogen produced by the system at time t.

[0142] refer to Figure 2 As shown, in some embodiments of this specification, after optimizing and solving the first scheduling model to obtain the first scheduling strategy of the electric-hydrogen coupling system, the method may also include:

[0143] S105: Based on the system structure, construct a second scheduling model including a power fluctuation function and the constraint conditions, wherein the power fluctuation function is used to characterize the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power.

[0144] S106: Acquire actual output data of each device in the electric-hydrogen coupling system based on a preset time interval.

[0145] S107: Optimizing and solving the second scheduling model based on the actual output data and the first scheduling strategy to obtain a second scheduling strategy for the electric-hydrogen coupling system.

[0146] S108: Performing intra-day optimal scheduling of the electric-hydrogen coupling system based on the second scheduling strategy.

[0147] It can be understood that, considering the application scenarios of selling hydrogen alone, the fluctuation of hydrogen prices, and the randomness and volatility of new energy, in the intraday stage, the results of the day-ahead scheduling can be used as constraints, combined with the real-time output power of each device in the system, to perform real-time rolling optimization of the system within the day, and to track the day-ahead optimization scheduling curve in real time to complete the intraday scheduling, further improve the stability and reliability of the system, and reduce the deviation between the intraday scheduling and the day-ahead prediction. The scheduling time scale and scheduling cycle of the second scheduling model are smaller than those of the first scheduling model.

[0148] Specifically, based on the day-ahead optimal scheduling, the system can receive the scheduling results in real time, and based on ultra-short-term predictions, further use the model predictive control algorithm to perform intraday optimal scheduling. Exemplarily, 15 minutes can be used as the scheduling time scale, 1 hour can be used as a scheduling cycle for rolling correction, 1 hour can be divided into 4 periods on average, and rolling optimization can be started every 0.25 hours. At this time, the controllable unit of the system corrects the output of each device based on the day-ahead scheduling results, so that the error between the intraday real-time optimization results and the day-ahead results is minimized, the accuracy of the optimization control is improved, the impact of the error on the operating cost is reduced, and the system reliability and stability of the energy storage system are enhanced.

[0149] In some embodiments of the present specification, the power fluctuation function can be expressed by the following formula:

[0150] Formula (16)

[0151] Wherein, F represents the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power, k represents the initial optimization time, Δk represents the preset time interval, λ1, λ2, λ3, λ4, λ5, λ6 represent weight coefficients, and P batt (k), P ALK (k), P PEM (k) represents the actual output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time k, respectively. batt_ref (t), P ALK_ref (t), P PEM_ref (t) respectively represent the predicted output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time t in the first scheduling strategy, grid (k) represents the actual energy interaction power between the power grid and the electric-hydrogen coupling system at time k, P grid_ref (t) represents the predicted energy interaction power between the power grid and the electric-hydrogen coupling system at time k in the first dispatching strategy; S OC (k), S SH (k) represent the actual charge state of the electric storage device and the actual hydrogen storage state of the hydrogen storage device at time k, respectively. OC_ref (t), S SH_ref (t) respectively represent the predicted state of charge of the power storage device and the predicted hydrogen storage state of the hydrogen storage device at time t in the first scheduling strategy. It can be understood that the goal of intraday real-time scheduling is to eliminate the power fluctuation caused by the day-ahead prediction error, so that the intraday power can track the day-ahead plan as much as possible, and reduce the economic losses caused by uncertainty.

[0152] The constraints in the second scheduling model constructed above may refer to the constraints in the first scheduling model mentioned above. Of course, the second scheduling model may also include more or fewer constraints than those in the first scheduling model.

[0153] The embodiment of this specification also provides an optimization scheduling method for an electric-hydrogen coupling system. Figure 3 Taking the first scheduling model with a scheduling period of 24 hours and a scheduling scale of 1 hour, the second scheduling model with an optimization period of 30 minutes and a time span of 5 minutes as an example, and the generator sets are wind generator sets and photovoltaic generator sets as examples, the scheduling method is introduced. Figure 3 As shown, the method may include the following steps:

[0154] S1. Initialization, set the scheduling period to 24h and the time scale to 1h.

[0155] S2. Obtain forecast data. Specifically, the forecast data includes wind turbine, photovoltaic and load related data.

[0156] S3. Day-ahead scheduling. Specifically, day-ahead scheduling may include inputting forecast data, setting an objective function and constraints as a first scheduling model, and obtaining an optimal solution of the model.

[0157] S4. Dispatch result: Specifically, the dispatch result can be obtained by dispatching based on the optimal solution obtained by the day-ahead dispatch, and the dispatch result can include the power and status of electricity, hydrogen, and energy storage systems.

[0158] S5. Set the system initial time to k=1, the optimization period to 30 minutes, and the time span to 5 minutes.

[0159] S6. Obtain measured data and predicted data. Specifically, the measured data includes real-time output data of wind turbines and photovoltaics, and the predicted data includes day-ahead predicted data of wind turbines and photovoltaics.

[0160] S7. Data calculation.

[0161] S8. Intraday real-time scheduling. Specifically, data calculation and real-time optimization scheduling can be performed based on the constructed second scheduling model.

[0162] S9: Update the energy storage system data and obtain the dispatch result, which includes the power and status of electricity, hydrogen and energy storage systems.

[0163] S10, k=k+1.

[0164] S11, k>24. If the judgment result is yes, then end, if not, jump to the above step S7.

[0165] The positive effects of the above method provided in the embodiments of this specification are explained below in conjunction with specific embodiments.

[0166] In the embodiment of this specification, the wind farm capacity is 300MW, the photovoltaic capacity is 200MW, the battery energy storage system is 80MW / 160MWh, and the hydrogen storage system is 200MW / 100MW. The following two schemes are used to optimize the system:

[0167] Solution 1: The first scheduling model and the second scheduling model are used for joint scheduling. After the wind power and photovoltaic output fluctuates, the wind-solar coupling system is optimized and scheduled according to the wind and photovoltaic data. According to the proposed considerations of the power balance constraints of the wind-solar coupling hydrogen production system, the output constraints of distributed energy, the capacity constraints of the energy storage battery, and the time-of-use electricity price of the power grid, the wind-solar coupling hydrogen production system is optimized through the day-ahead scheduling strategy, so that the system's intraday power can track the day-ahead plan as much as possible and the economic cost is minimized.

[0168] Option 2: Only use the first scheduling model. After the wind power and photovoltaic output fluctuations occur, the wind-solar coupled hydrogen production system is optimized and scheduled according to the wind and photovoltaic data. Then, according to the proposed considerations, the power balance constraints of the wind-solar coupled hydrogen production system, the output constraints of distributed energy, the capacity constraints of the energy storage battery, and the time-of-use electricity price of the power grid are considered. Finally, the wind-solar coupled hydrogen production system is optimized on the day before the scheduling strategy to minimize the economic cost of the system.

[0169] Reference Figure 4 The total system operation cost curves of the two schemes show that, compared with Scheme 2, the cost of wind-solar coupled hydrogen production Scheme 1 is less than that of Scheme 2. Figure 5 The cost line graph of each standard cubic meter of hydrogen for the two schemes shows that, compared with Scheme 2, the cost of each standard cubic meter of hydrogen for the wind-solar coupled hydrogen production system in Scheme 1 is less than that in Scheme 2. Therefore, the method proposed in Scheme 1 can reduce the economic cost of the wind-solar coupled hydrogen production system when the wind and solar power fluctuate, reduce system losses, and has good economic performance.

[0170] Based on the above-mentioned optimization scheduling method of the electric-hydrogen coupling system, one or more embodiments of this specification also provide an optimization scheduling system for the electric-hydrogen coupling system. The system may include a system (including a distributed system), software (application), module, plug-in, server, client, etc. using the method described in the embodiment of this specification and combined with the necessary implementation hardware. Based on the same innovative concept, the system in one or more embodiments provided in the embodiment of this specification is as described in the following embodiments. Since the implementation scheme and method for solving the problem of the system are similar, the implementation of the specific system in the embodiment of this specification can refer to the implementation of the aforementioned method, and the repetitions will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements predetermined functions. Although the system described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived. Figure 6 FIG. 1 is a schematic diagram of an optimization scheduling system for an electric-hydrogen coupling system provided in an embodiment of this specification. Figure 6 As shown, the optimization scheduling system 600 of the electric-hydrogen coupling system may include:

[0171] The first acquisition module 601 is used to acquire the system structure of the electric-hydrogen coupling system.

[0172] The first model building module 602 is used to build a first scheduling model including a cost function and constraints based on the coupling relationship between the energy storage device, the generator set, the hydrogen production equipment and the power grid in the system structure; the constraints include at least operation constraints between multiple hydrogen production equipment under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints.

[0173] The first optimization module 603 is used to obtain the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead generator set output data and load demand data to obtain the first scheduling strategy of the electric-hydrogen coupling system.

[0174] The first scheduling module 604 is used to perform day-ahead optimization scheduling on the electric-hydrogen coupling system based on the first scheduling strategy.

[0175] In some embodiments of the present specification, the plurality of hydrogen production equipment may include a first hydrogen production equipment and a second hydrogen production equipment, wherein the first hydrogen production equipment consumes more electricity when producing hydrogen by electrolysis than the second hydrogen production equipment consumes when producing hydrogen by electrolysis.

[0176] The operation constraints between multiple hydrogen production equipment under different working conditions can be determined in the following way: when the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the highest hydrogen production power of the first hydrogen production equipment at the current moment, the lowest hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment; when the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the lowest hydrogen production power of the first hydrogen production equipment at the current moment, the highest hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

[0177] In some embodiments of the present specification, operating constraints between multiple hydrogen production equipment under different working conditions may include: a first operating constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, and a second operating constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set.

[0178] The first operation constraint can be expressed by the following formula:

[0179] ;

[0180] ;

[0181] Among them, P hyd (t) represents the electrolysis power of the hydrogen production equipment, P ALK (t) and P ALK (t-1) represents the electrolysis power of the ALK electrolyzer in the first hydrogen production equipment at time t and time t-1, P PEM (t) and P PEM (t-1) represents the electrolysis power of the PEM electrolyzer in the second hydrogen production equipment at time t and time t-1, P ALK,max (t) represents the maximum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,min (t) represents the minimum hydrogen production power that the PEM electrolyzer can withstand at time t, ΔP ALK max and ΔP PEM max Represent the maximum ramp power of ALK electrolyzer and PEM electrolyzer, P ALKN and P PEMN denote the power of ALK electrolyzer and PEM electrolyzer respectively, and a denotes a constant coefficient;

[0182] The second operation constraint can be expressed by the following formula:

[0183] ;

[0184] Among them, P ALK,min (t) represents the minimum hydrogen production power that the ALK electrolyzer can withstand at time t, P PEM,max (t) represents the maximum hydrogen production power that the PEM electrolyzer can withstand at time t, and b and c represent constant coefficients.

[0185] In some embodiments of the present specification, the operation constraints between multiple hydrogen production equipment under different working conditions may also include hydrogen production equipment characteristic constraints, and the hydrogen production equipment characteristic constraints are expressed by the following formula:

[0186] ;

[0187] Among them, P ALK min and P ALK max Indicates the lower and upper limits of the hydrogen production power of the ALK electrolyzer, P PEM min and P PEM max They represent the lower and upper limits of the hydrogen production power of the PEM electrolyzer, P ALK (t) and P ALK (t-1) represents the hydrogen production power of the ALK electrolyzer at time t and time t-1, P PEM (t) and P PEM (t-1) represents the hydrogen production power of the PEM electrolyzer at time t and time t-1.

[0188] In some embodiments of the present specification, the operation constraints between multiple hydrogen production equipment under different working conditions may include a hydrogen production equipment capacity configuration constraint, and the hydrogen production equipment capacity configuration constraint may be expressed by the following formula:

[0189] ;

[0190] Among them, P ALM (t) and P PEM (t) represents the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

[0191] In some embodiments of the present specification, the cost function may be expressed by the following formula:

[0192] ;

[0193] ;

[0194] Where F represents the economic cost of the electric-hydrogen coupling system, W grid(t) represents the cost of purchasing electricity to produce hydrogen or the revenue from grid-connected electricity sales in the electricity-hydrogen coupling system, W sell (t) represents the revenue from hydrogen sales, W batt (t) represents the operation and maintenance cost of the energy storage battery, W dg (t) represents the operation and maintenance cost of the generator set, W ap (t) represents the operation and maintenance cost of hydrogen production equipment, W Q (t) represents the heat loss cost of hydrogen production equipment. S grid (t) represents the energy interaction between the electric-hydrogen coupling system and the power grid at time t, J price1 (t) represents the electricity price at time t, J price2 (t) represents the price of hydrogen at time t, U H2 (t) represents the amount of hydrogen sold at time t, Z dep1 (t) represents the operation and maintenance coefficient of the energy storage battery at time t, U batt (t) and U batt They represent the remaining capacity of the energy storage battery and the total capacity of the energy storage battery at time t, respectively. dep2 (t) represents the operation and maintenance coefficient of the photovoltaic power generation unit, U pv (t) represents the photovoltaic power generation at time t, Z dep3 (t) represents the operation and maintenance coefficient of the wind turbine generator set at time t, U wind (t) represents the wind power generation at time t, Z dep4 (t) represents the operation and maintenance coefficient of the ALK electrolyzer at time t, U ALK (t) represents the hydrogen production of the ALK electrolyzer at time t, Z dep5 (t) represents the operation and maintenance coefficient of the PEM electrolyzer at time t, U PEM (t) represents the hydrogen production of the PEM electrolyzer at time t, Z dep6 (t) represents the heat loss coefficient at time t, Q(t) represents the heat loss of the hydrogen production equipment at time t, P ALK and P PEM They represent the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

[0195] In some embodiments of the present specification, the energy storage device constraints may include operating state constraints of the energy storage battery and operating state constraints of the hydrogen storage device;

[0196] The operating state constraint of the energy storage battery can be expressed by the following formula:

[0197] ;

[0198] Among them, SOC min and SOC min They represent the lower limit and upper limit of the state of charge of the energy storage battery respectively, and SOC (t) represents the charge of the energy storage battery at time t.

[0199] The operating state constraint of the hydrogen storage device can be expressed by the following formula:

[0200] ;

[0201] Among them, S HSmin and S HSmin They represent the lower and upper limits of the hydrogen storage state of the hydrogen storage device, S HS (t) represents the hydrogen storage capacity of the hydrogen storage device at time t.

[0202] In some embodiments of this specification, the constraint condition further includes a power allocation constraint, which is used to constrain the power between the output power of the generator set and the power of the hydrogen production equipment, the power grid, and the energy storage equipment. The power allocation constraint can be expressed by the following formula:

[0203] ;

[0204] Among them, S wind,pv (t) represents the total output power of the generator set, P hyd (t), P batt (t) and P grid (t) represent the output power of the hydrogen production equipment, the output power of the energy storage equipment and the output power of the power grid respectively, a1, a2 and a3 represent weight coefficients, a1+a2+a3=1, and a1 is much larger than a2 and a3.

[0205] In some embodiments of the present specification, the system may further include:

[0206] The second model building module is used to build a second scheduling model including a power fluctuation function and the constraint conditions based on the system structure, wherein the power fluctuation function is used to characterize the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power.

[0207] The second acquisition module is used to acquire actual output data of each device in the electric-hydrogen coupling system based on a preset time interval.

[0208] The second optimization module is used to optimize and solve the second scheduling model based on the actual output data and the first scheduling strategy to obtain a second scheduling strategy for the electric-hydrogen coupling system.

[0209] The second scheduling module is used to perform intra-day optimization scheduling of the electric-hydrogen coupling system based on the second scheduling strategy.

[0210] In some embodiments of the present specification, the power fluctuation function can be expressed by the following formula:

[0211] ;

[0212] Wherein, F represents the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power, k represents the initial optimization time, Δk represents the preset time interval, λ1, λ2, λ3, λ4, λ5, λ6 represent weight coefficients, and P batt (k), P ALK (k), P PEM (k) represents the actual output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time k, respectively. batt_ref (t), P ALK_ref (t), P PEM_ref (t) respectively represent the predicted output power of the energy storage device, ALK electrolyzer, and PEM electrolyzer at time t in the first scheduling strategy, grid (k) represents the actual energy interaction power between the power grid and the electric-hydrogen coupling system at time k, P grid_ref (t) represents the predicted energy interaction power between the power grid and the electric-hydrogen coupling system at time k in the first dispatching strategy; S OC (k), S SH (k) represent the actual charge state of the electric storage device and the actual hydrogen storage state of the hydrogen storage device at time k, respectively. OC_ref (t), S SH_ref (t) respectively represent the predicted charge state of the electric storage device and the predicted hydrogen storage state of the hydrogen storage device at time t in the first scheduling strategy.

[0213] The description and functions of the above modules can be understood by referring to the content of the optimization scheduling method of the electric-hydrogen coupling system, which will not be repeated here.

[0214] The present application also provides an electronic device, such as Figure 7 As shown, the electronic device may include a processor 701 and a memory 702, wherein the processor 701 and the memory 702 may be connected via a bus or other means. Figure 7 The example of connecting through bus is taken in the following.

[0215] The processor 701 may be a central processing unit (CPU). The processor 701 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0216] The memory 702 is a non-transient computer-readable storage medium that can be used to store non-transient software programs, non-transient computer executable programs and modules, such as program instructions / modules corresponding to the optimization scheduling method of the electric-hydrogen coupling system in the embodiment of the present invention (for example, Figure 6 The processor 701 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 702, that is, the optimization scheduling method of the electric-hydrogen coupling system in the above method embodiment is realized.

[0217] The memory 702 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required by at least one function; the data storage area may store data created by the processor 701, etc. In addition, the memory 702 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 702 may optionally include a memory remotely arranged relative to the processor 701, and these remote memories may be connected to the processor 701 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0218] The one or more modules are stored in the memory 702, and when executed by the processor 701, the following optimization scheduling method for the electric-hydrogen coupling system is performed:

[0219] The system structure of the electric-hydrogen coupling system is obtained; based on the coupling relationship between the energy storage device, the generator set, the hydrogen production equipment and the power grid in the system structure, a first scheduling model including a cost function and constraints is constructed; the constraints include at least operation constraints between multiple hydrogen production equipment under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints; the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system are obtained, and the first scheduling model is optimized and solved based on the day-ahead generator set output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system; and the electric-hydrogen coupling system is optimized and scheduled based on the first scheduling strategy.

[0220] The specific details of the above electronic device can be understood by referring to the corresponding descriptions and effects in the above method embodiments, and will not be repeated here.

[0221] The present specification also provides a computer storage medium, wherein the computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the optimization scheduling method of the above-mentioned electric-hydrogen coupling system are implemented.

[0222] Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0223] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0224] The systems, systems, modules or units described in the above embodiments may be implemented by computer chips or entities, or by products with certain functions.

[0225] For the convenience of description, the above system is described by dividing it into various units according to its functions. Of course, when implementing the present application, the functions of each unit can be implemented in the same or multiple software and / or hardware.

[0226] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute certain parts of the methods of each implementation method of the present application.

[0227] The present application can be used in many general or special computer system environments or configurations, such as personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.

[0228] The present application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0229] Although the present application has been described through embodiments, those skilled in the art will appreciate that there are many modifications and variations to the present application without departing from the spirit of the present application, and it is intended that the appended claims include these modifications and variations without departing from the spirit of the present application.

Claims

1. An optimization scheduling method for an electric-hydrogen coupling system, characterized in that: include: Obtain the system structure of the electric-hydrogen coupling system; Based on the coupling relationship between the energy storage device, the generator set, the hydrogen production device and the power grid in the system structure, a first scheduling model including a cost function and constraint conditions is constructed; the constraint conditions at least include operation constraints between multiple hydrogen production devices under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints; Acquire the day-ahead generator set output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead generator set output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system; Performing day-ahead optimal scheduling of the electric-hydrogen coupling system based on the first scheduling strategy; Based on the system structure, a second dispatch model including a power fluctuation function and constraints is constructed. The power fluctuation function is used to characterize the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power. Acquire actual output data of each device in the electric-hydrogen coupling system based on a preset time interval; The second scheduling model is optimized and solved based on the actual output data and the first scheduling strategy to obtain the second scheduling strategy of the electric-hydrogen coupling system; Based on the second dispatching strategy, the electric-hydrogen coupling system is optimally dispatched intraday; The plurality of hydrogen production equipments include a first hydrogen production equipment and a second hydrogen production equipment, wherein the first hydrogen production equipment consumes more electricity when producing hydrogen by electrolysis than the second hydrogen production equipment consumes when producing hydrogen by electrolysis; The operating constraints between multiple hydrogen production equipment under different working conditions are determined in the following way: When the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, the hydrogen production constraint conditions of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the maximum hydrogen production power of the first hydrogen production equipment at the current moment, the minimum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment; When the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the minimum hydrogen production power of the first hydrogen production equipment at the current moment, the maximum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

2. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: The operation constraints between the multiple hydrogen production equipment under different working conditions include: a first operation constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, and a second operation constraint between the multiple hydrogen production equipment when the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set; The first operating constraint is expressed by the following formula: ； ； in, P hyd ( t ) represents the electrolysis power of the hydrogen production equipment, P ALK ( t )and P ALK ( t- 1) respectively represent the ALK electrolyzer in the first hydrogen production equipment t Moment and t- The electrolysis power at 1 moment, P PEM ( t )and P PEM ( t- 1) respectively represent the PEM electrolyzer in the second hydrogen production equipment t Moment and t-1 The electrolysis power at the moment, P ALK,max ( t ) indicates that the ALK electrolyzer is t The maximum hydrogen production power that can be sustained at any time, P PEM,min ( t ) indicates that the PEM electrolyzer is t The minimum hydrogen production power that can be sustained at any time, Δ P ALK max and Δ P PEM max Respectively represent the maximum climbing power of ALK electrolyzer and PEM electrolyzer, P ALKN and P PEMN Represent the power of ALK electrolyzer and PEM electrolyzer respectively, a represents a constant coefficient; The second operating constraint is expressed by the following formula: ； in, P ALK,min ( t ) indicates that the ALK electrolyzer is t The minimum hydrogen production power that can be sustained at any time, P PEM,max ( t ) indicates that the PEM electrolyzer is t The maximum hydrogen production power that can be sustained at any time, b.c represents a constant coefficient.

3. The optimization scheduling method of the electric-hydrogen coupling system according to claim 2 is characterized in that: The operation constraints between multiple hydrogen production equipment under different working conditions also include hydrogen production equipment characteristic constraints, which are expressed by the following formula: ； in, P ALK min and P ALK max Indicates the lower and upper limits of the hydrogen production power of the ALK electrolyzer, P PEM min and P PEM max They represent the lower and upper limits of the hydrogen production power of the PEM electrolyzer, P ALK ( t )and P ALK ( t- 1) Indicates t Moment and t -1 The hydrogen production power of the ALK electrolyzer at time P PEM ( t )and P PEM ( t- 1) Indicates t Moment and t -1 Hydrogen production power of PEM electrolyzer.

4. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: The operation constraints between multiple hydrogen production equipment under different working conditions include the hydrogen production equipment capacity configuration constraint, which is expressed by the following formula: ； in, P ALM ( t )and P PEM ( t ) respectively represent t Hydrogen production power of ALK electrolyzer and PEM electrolyzer at this moment.

5. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: The cost function is expressed by the following formula: ； ； in, F represents the cost of the electricity-hydrogen coupling system, W grid ( t ) represents the cost of purchasing electricity to produce hydrogen or the revenue from grid-connected electricity sales in the electricity-hydrogen coupling system. W sell ( t ) represents the revenue from hydrogen sales, W batt ( t ) represents the operation and maintenance cost of energy storage batteries, W dg ( t ) represents the operation and maintenance cost of the generator set, W ap ( t ) represents the operation and maintenance cost of hydrogen production equipment, W Q ( t ) represents the heat loss cost of hydrogen production equipment; S grid ( t )express t The amount of energy interaction between the electric-hydrogen coupling system and the power grid at each moment, J price1 ( t )express t The electricity price at the time, J price2 ( t )express t The price of hydrogen at the moment, U H2 ( t )express t The amount of hydrogen sold at any given moment, Z dep1 ( t )express t The operation and maintenance coefficient of the energy storage battery at all times, U batt ( t )and U batt Respectively t The remaining capacity of the energy storage battery and the total capacity of the energy storage battery at all times, Z dep2 ( t ) represents the operation and maintenance coefficient of the photovoltaic power generation unit, U pv ( t )express t The photovoltaic power generation at the time, Z dep3 ( t )express t The operation and maintenance coefficient of the wind turbine generator set at the moment, U wind ( t )express t Wind power generation at any given moment, Z dep4 ( t )express t The operation and maintenance coefficient of the ALK electrolyzer at this moment, U ALK ( t )express t The amount of hydrogen produced by the ALK electrolyzer at the moment, Z dep5 ( t )express t The operation and maintenance coefficient of the PEM electrolyzer at the moment, U PEM ( t )express t The amount of hydrogen produced by the PEM electrolyzer at the moment, Z dep6 ( t )express t The heat loss coefficient at the time, Q ( t )express t The heat loss of hydrogen production equipment at all times, P ALK and P PEM They represent the hydrogen production power of ALK electrolyzer and PEM electrolyzer at time t respectively.

6. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: Energy storage equipment constraints include operating state constraints of energy storage batteries and operating state constraints of hydrogen storage equipment; The operating state constraint of the energy storage battery is expressed by the following formula: ； in, SOC min and SOC min They represent the lower and upper limits of the state of charge of the energy storage battery respectively. SOC ( t )express t The charge of the energy storage battery at all times; The operating state constraint of the hydrogen storage device is expressed by the following formula: ； in, S HSmin and S HSmin They represent the lower and upper limits of the hydrogen storage state of the hydrogen storage device, S HS ( t )express t The hydrogen storage capacity of the hydrogen storage equipment at any given moment.

7. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: The constraint conditions also include power allocation constraints, which are used to constrain the power output of the generator set and the power between the hydrogen production equipment, the power grid, and the energy storage equipment. The power allocation constraints are expressed by the following formula: ； in, S wind,pv ( t ) represents the total output power of the generator set, P hyd ( t ), P batt ( t )and P grid ( t ) represent the output power of the hydrogen production equipment, the output power of the energy storage equipment and the output power of the power grid respectively. a 1. a 2 and a 3 represents the weight coefficient, a 1+ a 2+ a 3=1, and a 1 is much greater than a 2 and a 3.

8. The optimization scheduling method of the electric-hydrogen coupling system according to claim 1, characterized in that: The power fluctuation function is expressed by the following formula: ； in, F represents the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power, k represents the initial optimization moment, Δ k represents the preset time interval, λ 1. λ 2. λ 3. λ 4. λ 5. λ 6 represents the weight coefficient, P batt ( k ), P ALK ( k ), P PEM ( k ) represent the energy storage device, ALK electrolyzer, and PEM electrolyzer respectively. k The actual output power at the moment, P batt_ref ( t ), P ALK_ref ( t ), P PEM_ref ( t ) represent the storage equipment, ALK electrolyzer, and PEM electrolyzer in the first scheduling strategy. t The predicted output power at time, P grid ( k ) indicates that the power grid and the electric hydrogen coupling system k The actual energy interaction power at the moment, P grid_ref ( t ) represents the grid and the electric-hydrogen coupling system in the first dispatch strategy. k Predicted energy interaction power at the moment; S OC ( k ), S SH ( k ) respectively represent in k The actual charge state of the electric storage device and the actual hydrogen storage state of the hydrogen storage device at all times. S OC_ref ( t ), S SH_ref ( t ) respectively represent the first scheduling strategy in t The predicted state of charge of the electricity storage device and the predicted hydrogen storage state of the hydrogen storage device at each moment.

9. An optimization scheduling system for an electric-hydrogen coupling system, characterized in that: include: A first acquisition module is used to acquire the system structure of the electric-hydrogen coupling system; A first model building module is used to build a first scheduling model including a cost function and constraint conditions based on the coupling relationship between the energy storage device, the generator set, the hydrogen production device and the power grid in the system structure; the constraint conditions at least include operation constraints between multiple hydrogen production devices under different working conditions, energy storage device constraints, power grid energy interaction constraints, and generator set operation constraints; A first optimization module is used to obtain the day-ahead power generation unit output data and load demand data of the electric-hydrogen coupling system, and optimize and solve the first scheduling model based on the day-ahead power generation unit output data and load demand data to obtain a first scheduling strategy for the electric-hydrogen coupling system; A first scheduling module, configured to perform day-ahead optimization scheduling on the electric-hydrogen coupling system based on the first scheduling strategy; A second model building module is used to build a second scheduling model including a power fluctuation function and constraint conditions based on the system structure, wherein the power fluctuation function is used to characterize the power fluctuation between the intraday power of the electric-hydrogen coupling system and the day-ahead predicted power; A second acquisition module is used to acquire actual output data of each device in the electric-hydrogen coupling system based on a preset time interval; A second optimization module is used to optimize and solve the second scheduling model based on the actual output data and the first scheduling strategy to obtain a second scheduling strategy for the electric-hydrogen coupling system; A second scheduling module is used to perform intraday optimization scheduling of the electric-hydrogen coupling system based on a second scheduling strategy; The plurality of hydrogen production equipments include a first hydrogen production equipment and a second hydrogen production equipment, wherein the first hydrogen production equipment consumes more electricity when producing hydrogen by electrolysis than the second hydrogen production equipment consumes when producing hydrogen by electrolysis; The operating constraints between multiple hydrogen production equipment under different working conditions are determined in the following way: When the electrolysis power of the hydrogen production equipment is less than or equal to the power generation power of the generator set, the hydrogen production constraint conditions of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the maximum hydrogen production power of the first hydrogen production equipment at the current moment, the minimum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment; When the electrolysis power of the hydrogen production equipment is greater than the power generation power of the generator set, the hydrogen production constraints of the first hydrogen production equipment and the second hydrogen production equipment are determined based on the minimum hydrogen production power of the first hydrogen production equipment at the current moment, the maximum hydrogen production power of the second hydrogen production equipment at the current moment, and the electrolysis power of the current hydrogen production equipment.

10. An electronic device, characterized in that: include: A memory and a processor, wherein the processor and the memory are communicatively connected to each other, the memory stores computer instructions, and the processor implements the steps of the method according to any one of claims 1 to 8 by executing the computer instructions.

11. A computer storage medium, characterized in that: The computer storage medium stores computer program instructions, and when the computer program instructions are executed, the steps of the method according to any one of claims 1 to 8 are implemented.

12. A computer program product, characterized in that The invention comprises a computer program, which implements the steps of the method according to any one of claims 1 to 8 when being executed by a processor.

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