Hydrogen scheduling method and device considering hydrogen supply and demand relationship, equipment and medium

Abstract

The present application relates to the technical field of energy management, and particularly relates to a hydrogen scheduling method and device considering electricity-hydrogen supply-demand relationship, equipment and medium, the method comprises the following steps: collecting day-ahead power supply plan and hydrogen use plan, and judging operation condition according to the collected plan; formulating hydrogen production and hydrogen use plan according to the operation condition, and establishing user hydrogen use utility function; obtaining a set of hydrogen use cost of the optimal objective function by solving through a double-target optimization algorithm, generating hydrogen use scheduling plan; monitoring hydrogen load transfer amount, updating fitting parameters in the hydrogen use utility function, collecting user feedback, updating hydrogen use cost, and updating hydrogen use scheduling plan. In the present application, the fluctuation of power supply is converted into the adjustment means of hydrogen demand. The efficiency of electricity-hydrogen coupling is improved, resource waste is reduced, and the reliability and stability of the energy system of the industrial park are also enhanced. The whole system can be more efficient and economical in actual operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy management, in particular to a hydrogen scheduling method considering the supply and demand relationship of electricity and hydrogen, a device, equipment and medium. BACKGROUND

[0002] In modern industrial parks, electricity and hydrogen are two important energy sources. With the development of renewable energy, the volatility of electricity supply increases, and hydrogen plays an increasingly important role as a storage and energy carrier. However, how to effectively dynamically match the supply and demand relationship of electricity and hydrogen, ensure stable supply of electricity and hydrogen in industrial parks, improve the economy of system operation, and reduce resource waste caused by supply and demand mismatch, is still a problem to be solved.

[0003] The traditional hydrogen supply method is usually static, that is, hydrogen production enterprises provide hydrogen according to pre-set production plans and industrial user demand. However, this method cannot flexibly respond to fluctuations in electricity supply, resulting in excessive hydrogen production when electricity supply is surplus, and insufficient hydrogen production when electricity supply is tight. Static hydrogen supply method also cannot encourage industrial users to increase hydrogen consumption when electricity supply is abundant, so as to fully utilize the fluctuation characteristics of renewable energy. Reducing the efficiency of electricity-hydrogen coupling, increasing resource waste, and reducing the reliability and stability of the industrial park energy system.

[0004] The information disclosed in this BACKGROUND section is only intended to enhance the understanding of the general background of the application, and should not be considered as recognition or implicit acknowledgment in any form that this information constitutes prior art known to those skilled in the art. SUMMARY

[0005] The present application provides a hydrogen scheduling method considering the supply and demand relationship of electricity and hydrogen, device, equipment and medium, thereby effectively solving the problems in the background art.

[0006] In order to achieve the above purpose, the technical solution adopted by the present application is: a hydrogen scheduling method considering the supply and demand relationship of electricity and hydrogen, comprising the following steps:

[0007] Collecting day-ahead power supply plan and hydrogen consumption plan, and determining the operating condition according to the collected plan;

[0008] Formulating hydrogen production and hydrogen consumption plan according to the operating condition, and establishing user hydrogen consumption utility function;

[0009] Solving a set of hydrogen consumption costs of the optimal objective function by a double-objective optimization algorithm to generate a hydrogen scheduling plan;

[0010] Monitoring the hydrogen load transfer amount, updating the fitting parameters in the hydrogen use utility function, collecting user feedback, updating the hydrogen use cost, and updating the hydrogen use scheduling plan.

[0011] Further, the operating condition includes:

[0012] the superior electric energy power supply P a (t) can meet the electricity power demand P b (t) and the hydrogen production power demand P c (t), that is, P a (t) ≥ P b (t) + P c (t);

[0013] the superior electric energy power supply P a (t) can only meet the electricity power demand P b (t) but cannot meet the hydrogen production power demand P c (t), that is, P b (t) + P c (t) ≥ P a (t) ≥ P b (t);

[0014] the superior electric energy power supply P a (t) cannot meet the electricity power demand P b (t), that is, P a (t) ≤ P b (t).

[0015] Further, the hydrogen production and hydrogen use plan is formulated according to the operating condition, including:

[0016] When P a (t) ≥ P b (t) + P c (t), the excess power ΔP(t) = P a (t) - (P b (t) + P c (t)) is absorbed, all of which is used for hydrogen production and stored in the hydrogen storage tank, the planned hydrogen production power in the t period under this operating condition is P el (t) = ΔP(t) + P c (t), and the planned hydrogen supply amount is λ is the unit hydrogen production energy loss;

[0017] When P b (t) + P c (t) ≥ P a (t) ≥ P b(t), if the hydrogen storage amount in the hydrogen storage tank cannot meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand, and the planned hydrogen production power in the t period under this condition is P el (t) = P a (t) - P b (t) + P buy (t), and the planned hydrogen supply amount is

[0018] When P a (t) ≤ P b (t), the hydrogen in the hydrogen storage tank is consumed by the fuel cell to generate electricity to meet the electricity supply shortage, and after meeting the electricity supply shortage, if there is a surplus of hydrogen in the hydrogen storage tank, it is delivered to the industrial user to meet the hydrogen supply shortage; if the hydrogen storage amount in the hydrogen storage tank cannot meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand, and the planned hydrogen production power in the t period under this condition is P el (t) = P buy (t), and the planned hydrogen supply amount is

[0019] Further, the hydrogen use utility function is:

[0020]

[0021] In the formula, θ is the hydrogen use utility of the user n, and α and β are fitting parameters; Q el (t) is the planned hydrogen supply amount of the hydrogen production enterprise to the user n in the t period.

[0022] Further, the monitoring of the hydrogen load transfer amount and the updating of the fitting parameters in the hydrogen use utility function include the following steps:

[0023] The actual hydrogen load transfer amount ΔH i '(t) of the user is recorded.

[0024] The actual hydrogen use utility θ'(t) of the industrial user i in the t period is calculated by the formula

[0025] The actual hydrogen use utility θ'(t) of different periods is replaced with θ(t) in the formula to update the fitting parameters α and β.

[0026] Further, the set of hydrogen use costs obtained by solving the optimal objective function by the double-target optimization algorithm includes the following steps:

[0027] A plurality of sets of hydrogen use cost sequences r i ​(t) and set the initial hydrogen reference cost as the average of the hydrogen cost sequence of all time periods in the day, i.e.

[0028]

[0029] based on the hydrogen consumption utility function and the hydrogen consumption plan to calculate the hydrogen load shift amount;

[0030] the hydrogen load shift amount of all industrial users in the full time period and the economic benefit of the hydrogen production enterprise as the optimization target, a set of hydrogen consumption cost standards that produce the maximum hydrogen load shift amount and the maximum economic benefit of the hydrogen production enterprise are solved.

[0031] Further, the hydrogen consumption utility function based on the hydrogen consumption plan to calculate the hydrogen load shift amount includes:

[0032] Let the hydrogen reference cost of industrial user i be r i 0 (t) yuan / Nm3, and the hydrogen consumption cost r i (t) yuan / Nm3 in time period t, when r i (t) ≥ r i 0 (t), industrial user i generates a hydrogen load shift amount ΔH i (t) = θ(t)Q el (t);

[0033] Industrial user i has a hydrogen demand amount of ΔH i (t) Nm3 shifted to the subsequent time period, at which time the next time hydrogen reference cost is updated to r i 0 (t+1) = r i (t), and the hydrogen consumption of industrial user i is updated to Q e ' l (t+1) = ΔH i (t) + Q el (t+1);

[0034] If when r i (t) < r i 0 (t), ΔH i (t) = 0, and the next time hydrogen reference cost is unchanged.

[0035] Further, the double-target optimization algorithm includes the following steps:

[0036] Input the day-ahead power supply plan and hydrogen consumption plan data, hydrogen cost sequence r i(t), initializing a hydrogen cost sequence population; inputting a target function of all industrial users' hydrogen load transfer amount H in a whole time period total and the calculation method of the economic benefit R of the hydrogen production enterprise total , the target function value of the population is calculated, and the target function value of the population is based on the hydrogen cost sequence r i (t) calculating all industrial users' hydrogen load transfer amount H in a whole time period total and the calculation method of the economic benefit R of the hydrogen production enterprise total ;

[0037] A non-dominated sorting is used to screen a plurality of parent hydrogen cost sequences, and a plurality of child hydrogen cost sequences are formed by selecting, crossing and mutating the screened individuals;

[0038] After the plurality of child hydrogen cost sequences correspond to target function values greater than the plurality of parent hydrogen cost sequences correspond to target function values, the parent population and the child population are merged, and a new parent population is screened by non-dominated sorting and congestion calculation to form a new parent population, until the new parent population corresponds to the target function value greater than the child population corresponds to the target function value, that is, the stop criterion is met;

[0039] The number of iterations is set, and the new parent population is repeatedly selected, crossed and mutated, until the number of iterations is met, and the optimal individual target function value in the iteration population is output, that is, a set of hydrogen cost sequences of the maximum hydrogen load transfer amount and the maximum economic benefit of the hydrogen production enterprise can be calculated.

[0040] The application also includes a hydrogen scheduling device considering the supply and demand relationship of electricity and hydrogen, using the method as described above, the device includes:

[0041] An operating condition judgment unit is used to collect day-ahead power supply plans and hydrogen use plans, and judge the operating condition according to the collected plans;

[0042] A hydrogen use effect calculation unit is used to formulate hydrogen production and hydrogen use plans according to the operating condition, and establish a user hydrogen use effect function;

[0043] A hydrogen scheduling unit is used to obtain a set of hydrogen costs of the optimal target function by a double-objective optimization algorithm, and generate a hydrogen scheduling plan;

[0044] An updating unit is used to monitor the hydrogen load transfer amount, update the fitting parameters in the hydrogen use effect function, collect user feedback, update the hydrogen cost, and update the hydrogen scheduling plan.

[0045] The application also includes a computer device, including a memory, a processor and a computer program stored on the memory and executable on the processor, when the processor executes the computer program, the method as described above is realized.

[0046] The application also includes a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described above.

[0047] The application has the beneficial effect that the application enables industrial users to dynamically match hydrogen load with hydrogen production and supply plans. With dynamic adjustment of hydrogen cost standards, industrial users are encouraged to increase hydrogen consumption during periods of abundant power supply, thereby converting fluctuations in power supply into a means of adjusting hydrogen demand. This method not only improves the efficiency of the electricity-hydrogen coupling and reduces resource waste, but also enhances the reliability and stability of the industrial park energy system. Through monitoring by hydrogen flow acquisition equipment and data analysis, the calculation standards and accuracy of hydrogen consumption costs are further optimized, enabling the entire system to be more efficient and economical in actual operation. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative effort.

[0049] Figure 1 Flowchart of the method in Example 1;

[0050] Figure 2 Structure schematic diagram of the device in Example 1;

[0051] Figure 3 Industrial park structure and energy flow direction diagram in Example 2;

[0052] Figure 4 Flowchart of hydrogen consumption cost generation in Example 2;

[0053] Figure 5 Flowchart of the dual-objective optimization algorithm in Example 2;

[0054] Figure 6 Structure schematic diagram of the computer device. DETAILED DESCRIPTION

[0055] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments.

[0056] Example 1:

[0057] As Figure 1A hydrogen scheduling method considering the relationship between electricity and hydrogen supply and demand, comprising the following steps:

[0058] Collecting the day-ahead power supply plan and hydrogen use plan, and determining the operation condition according to the collected plans;

[0059] Formulating the hydrogen production and use plan according to the operation condition, and establishing a user hydrogen use utility function;

[0060] Solving a set of hydrogen use costs of the optimal objective function through a double-objective optimization algorithm to generate a hydrogen use scheduling plan;

[0061] Monitoring the hydrogen load transfer amount, updating the fitting parameters in the hydrogen use utility function, collecting user feedback, updating the hydrogen use cost, and updating the hydrogen use scheduling plan.

[0062] The industrial user hydrogen load is dynamically matched with the hydrogen production and supply plan. The dynamic adjustment of the hydrogen use cost standard encourages industrial users to increase hydrogen use during periods of abundant power supply, thereby converting power supply fluctuations into a means of adjusting hydrogen demand. This method not only improves the efficiency of electricity-hydrogen coupling and reduces resource waste, but also enhances the reliability and stability of the industrial park energy system. Through monitoring by hydrogen flow acquisition equipment and data analysis, the calculation standard and precision of the hydrogen use cost are further optimized, making the entire system more efficient and economical in actual operation.

[0063] In this embodiment, the operation condition includes:

[0064] The upper-level power supply P a (t) can simultaneously meet the electricity power demand P b (t) and the hydrogen production power demand P c (t), that is, P a (t) ≥ P b (t) + P c (t).

[0065] The upper-level power supply P a (t) can only meet the electricity power demand P b (t) but not the hydrogen production power demand P c (t), that is, P b (t) + P c (t) ≥ P a (t) ≥ P b (t).

[0066] The upper-level power supply P a (t) cannot meet the electricity power demand P b (t), that is, P a (t) ≤ P b (t).

[0067] According to the operation condition, the hydrogen production and hydrogen supply plan is made, including:

[0068] When P a (t)≥P b (t)+P c (t), the excess power ΔP(t)=P a (t)-(P b (t)+P c (t) is absorbed, all of which is used for hydrogen production and stored in the hydrogen storage tank, and the planned hydrogen production power in the t period under this condition is P el (t)=ΔP(t)+P c (t), and the planned hydrogen supply amount is λ is the unit hydrogen production energy loss;

[0069] When P b (t)+P c (t)≥P a (t)≥P b (t), the hydrogen in the hydrogen storage tank is transported to the user to meet the hydrogen supply shortage, and if the hydrogen storage amount in the hydrogen storage tank does not meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand, and the planned hydrogen production power in the t period under this condition is P el (t)=P a (t)-P b (t)+P buy (t), and the planned hydrogen supply amount is

[0070] When P a (t)≤P b (t), the hydrogen in the hydrogen storage tank is consumed by the fuel cell to generate electricity to meet the power supply shortage, and after meeting the power supply shortage, if there is a surplus of hydrogen in the hydrogen storage tank, it is transported to the industrial user to meet the hydrogen supply shortage; if the hydrogen storage amount in the hydrogen storage tank does not meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand, and the planned hydrogen production power in the t period under this condition is P el (t)=P buy (t), and the planned hydrogen supply amount is

[0071] Wherein, the hydrogen supply utility function is:

[0072]

[0073] In the formula, θ is the hydrogen supply utility of the user n, and α and β are fitting parameters; Q el (t) is the planned hydrogen supply amount of the hydrogen production enterprise to the user n in the t period.

[0074] In this embodiment, monitoring the amount of hydrogen load transfer and updating the fitted parameters in the hydrogen utility function includes the following steps:

[0075] Record the actual hydrogen load transfer amount ΔH for users i '(t);

[0076] Through formula Calculate the actual hydrogen consumption efficiency θ'(t) of industrial user i during time period t;

[0077] The actual hydrogen efficiency at different time periods is replaced by θ'(t) in the formula. The fitted parameters α and β are updated using θ(t).

[0078] In this embodiment, a set of hydrogen costs for obtaining the optimal objective function is obtained through a dual-objective optimization algorithm, including the following steps:

[0079] Generate multiple sets of hydrogen cost sequences r i (t), and set the initial hydrogen cost benchmark as the average of the hydrogen cost series for all time periods within the day, i.e.:

[0080]

[0081] Based on hydrogen utility function Using hydrogen planning to calculate hydrogen load transfer volume;

[0082] Based on the hydrogen load transfer volume of all industrial users throughout the entire period Economic benefits of hydrogen production enterprises To optimize the objective, a set of hydrogen cost standards is derived to generate the maximum hydrogen load transfer and the maximum economic benefit for the hydrogen production enterprise.

[0083] Based on hydrogen utility function Using hydrogen planning to calculate hydrogen load transfer includes:

[0084] Let the baseline cost of hydrogen for industrial user i be r. i 0 (t) yuan / Nm3, the cost of useful hydrogen during period t. i (t) yuan / Nm3, when r i (t)≥r i 0 At time (t), industrial user i generates hydrogen load transfer amount ΔH i (t)=θ(t)Q el (t);

[0085] Industrial user i has ΔH i The hydrogen demand of (t) Nm3 is carried over to subsequent time periods, and at the next time step, the hydrogen baseline cost is updated to r. i 0(t+1) = r i (t), the hydrogen consumption of the industrial user i is updated as Q e l (t+1) = AH i (t) + Q el (t+1).

[0086] If when r i (t) < r i 0 (t), AH i (t) = 0, the hydrogen reference cost at the next time is unchanged.

[0087] The double-objective optimization algorithm includes the following steps:

[0088] The day-ahead power supply plan and hydrogen consumption plan data, the hydrogen consumption cost sequence r i (t), and the hydrogen consumption cost sequence population are initialized; the objective function is inputted, and the hydrogen load transfer amount H total of all the industrial users in the whole period and the calculation method of the economic benefit R total of the hydrogen production enterprise are calculated; the objective function value of the population is calculated based on the hydrogen consumption cost sequence r i (t); the hydrogen load transfer amount H total of all the industrial users in the whole period and the economic benefit R total of the hydrogen production enterprise are calculated.

[0089] The multiple groups of parent hydrogen consumption cost sequences are screened using the non-dominated sorting; the multiple groups of child hydrogen consumption cost sequences are formed by selecting, crossing and mutating the screened individuals;

[0090] After the multiple groups of child hydrogen consumption cost sequences correspond to the objective function values greater than the multiple groups of parent hydrogen consumption cost sequences, the parent population and the child population are merged, and the new parent population is formed by screening new individuals through the non-dominated sorting and the crowding degree calculation again until the new parent population corresponds to the objective function values greater than the child population, that is, the stop criterion is met;

[0091] The iteration number is set, and the new parent population is repeatedly selected, crossed and mutated until the iteration number is met, and the objective function value of the optimal individual in the population after iteration is outputted, that is, a group of hydrogen consumption cost sequences of the maximum hydrogen load transfer amount and the maximum economic benefit of the hydrogen production enterprise can be calculated.

[0092] As shown in FIG. 8, the embodiment further includes a hydrogen consumption scheduling device considering the electricity-hydrogen supply-demand relationship, which uses the method as described above, and the device includes: Figure 2

[0093] ​​The operation condition judging unit is configured to collect the day-ahead power supply plan and the hydrogen use plan, and judge the operation condition according to the collected plans;

[0094] The hydrogen use effect calculating unit is configured to formulate the hydrogen production and use plans according to the operation condition, and establish a user hydrogen use effect function;

[0095] The hydrogen use scheduling unit is configured to obtain a set of hydrogen use costs of the optimal objective function by solving the double-target optimization algorithm, and generate a hydrogen use scheduling plan;

[0096] The updating unit is configured to monitor the hydrogen load transfer amount, update the fitting parameters in the hydrogen use effect function, collect user feedback, update the hydrogen use cost, and update the hydrogen use scheduling plan.

[0097] Embodiment 2:

[0098] As Figure 3 The structure diagram and energy flow direction of the industrial park are shown in FIG. 1. The devices involved include photovoltaic power generation devices, wind power generation devices, gas turbines, electrolytic cells, hydrogen storage tanks, fuel cells, industrial user hydrogen loads, and industrial user electric loads. The superiors of the hydrogen production enterprises are composed of power enterprises, which are responsible for providing day-ahead power output plans for the hydrogen production enterprises. The subordinates are composed of industrial user groups, which are responsible for providing day-ahead power use plans and day-ahead hydrogen use plans for the hydrogen production enterprises. The hydrogen production enterprises play the role of energy managers, and formulate hydrogen production and hydrogen supply plans according to the supply and demand information provided by the superiors and subordinates.

[0099] According to the electric energy and hydrogen energy supply and demand information provided by the superiors and subordinates of the hydrogen production enterprises, the following three operation conditions can be generated:

[0100] Operation condition 1): the electric energy power supply P a (t) of the superiors can simultaneously meet the electric power demand P b (t) and the hydrogen production power demand P c (t) of the subordinates, i.e., P a (t) ≥ P b (t) + P c (t). At this time, the excess power ΔP(t) = P a (t) - (P b (t) + P c (t)) is consumed by the hydrogen production enterprises, and is all used for hydrogen production and stored in the hydrogen storage tank. Therefore, the planned hydrogen production power in the t period under this operation condition is P el (t) = ΔP(t) + P c (t), and the planned hydrogen supply amount is λ is the unit hydrogen production energy loss. The hydrogen production power mainly reflects the operation power of the electrolytic cell of the hydrogen production enterprise in the t period; and the planned hydrogen supply amount mainly reflects the hydrogen amount delivered by the hydrogen storage tank of the hydrogen production enterprise to the industrial users in the t period.

[0101] Case 2): t period, the upper power supply P a (t) only to meet the power demand P b (t) but not to meet the hydrogen production power demand P c (t), that is, P b (t) + P c (t) ≥ P a (t) ≥ P b (t). At this time, the hydrogen production enterprise delivers hydrogen in the hydrogen storage tank to the industrial user to meet the hydrogen supply shortage. If the hydrogen storage amount in the hydrogen storage tank does not meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand. Therefore, the planned hydrogen production power in the t period under this condition is P el (t) = P a (t) - P b (t) + P buy (t), and the planned hydrogen supply amount is λ is the unit hydrogen production energy loss.

[0102] Case 3): t period, the upper power supply P a (t) cannot meet the power demand P b (t), that is, P a (t) ≤ P b (t). At this time, the hydrogen production enterprise generates electricity by consuming hydrogen in the hydrogen storage tank through a fuel cell to meet the power supply shortage. After meeting the power supply shortage, if there is a surplus of hydrogen in the hydrogen storage tank, it is delivered to the industrial user to meet the hydrogen supply shortage; if the hydrogen storage amount in the hydrogen storage tank does not meet the shortage, the power grid needs to provide hydrogen production power P buy (t) to meet the hydrogen supply demand. Therefore, the planned hydrogen production power in the t period under this condition is P el (t) = P buy (t), and the planned hydrogen supply amount is λ is the unit hydrogen production energy loss.

[0103] As Figure 4 indicated, the hydrogen cost standard is used to develop the time distribution for adjusting the hydrogen load, which is announced by the hydrogen production enterprise to the industrial user in advance. The development steps are as follows:

[0104] Step 1): Establish an industrial user hydrogen utilization function according to the hydrogen utilization plan provided by the lower level:

[0105]

[0106] θ is the hydrogen utilization of user n, which serves to quantitatively analyze the hydrogen utilization benefit of the industrial user in the t period based on the industrial user hydrogen utilization plan; α and β are fitting parameters; Q el(t) is the planned hydrogen supply amount of the hydrogen production enterprise to user n in the t period. Wherein the function θ(t) satisfies the increasing function characteristics and the marginal decreasing function characteristics, so that the fitting parameters can make θ(t) based on the industrial user hydrogen demand Q el (t) is fitted to a hydrogen utility curve with a value range of 0 to 1.

[0107] Step 2): hydrogen reference cost r i 0 (t) can be used as a reference standard for predicting whether the industrial user generates hydrogen load transfer amount, and is affected by the change of hydrogen cost sequence r i (t), the initial hydrogen reference cost is the average value of the hydrogen cost sequence of all time periods in the day, that is,

[0108] Let the hydrogen reference cost of the industrial user i be r i 0 (t) yuan / Nm3, if the hydrogen cost r i (t) yuan / Nm3 in the t period, when r i (t) ≥ r i 0 (t), the industrial user i generates hydrogen load transfer amount ΔH i (t) = θ(t)Q el (t), that is, the hydrogen demand amount of the industrial user i ΔH i (t) Nm3 is transferred to the t+1 period.

[0109] For the next time t+1 period, the hydrogen reference cost is updated to r i 0 (t+1) = r i (t), the hydrogen amount of the industrial user i is updated to Q e ' l (t+1) = ΔH i (t) + Q el (t+1) ; if when r i (t) < r i 0 (t), ΔH i (t) = 0, and the hydrogen reference cost of the next time is unchanged.

[0110] Step 3): taking the hydrogen load transfer amount of all industrial users in the t period and the economic benefit of the hydrogen production enterprise as the optimization target, a set of hydrogen cost sequence r i is obtained by solving the double target optimization algorithm, wherein is the weight coefficient, which is determined by the supply and demand relationship of electric energy and hydrogen in the t period, and the algorithm solving process is as follows Figure 5As shown. The specific solution process for the hydrogen cost standard using a dual-objective optimization algorithm is as follows:

[0111] First, input relevant scenario data and equipment parameters (including equipment operation parameters within the park, equipment output constraints, hydrogen storage device constraints, grid interaction constraints, hydrogen cost-level electricity supply plan, and industrial user electricity and hydrogen consumption plan), and initialize and generate multiple sets of hydrogen cost sequences r within the hydrogen cost constraint range. i (t) population.

[0112] Based on scenario data, the planned hydrogen production capacity P for all time periods can be obtained by using step 1 of the process, which is based on hydrogen cost standards. el (t) and planned hydrogen supply Q el (t) and generate the corresponding hydrogen utilization function θ(t).

[0113] The total hydrogen load transfer volume ΔH for all industrial users during each time period of the day can be obtained through step 2 in the hydrogen cost standard. i (t).

[0114] The calculation method for hydrogen load transfer among all industrial users as described above Comparison of total cost of hydrogen Calculate the objective function value for each population.

[0115] For the initially generated population (parent generation), non-dominated sorting is first used to screen the parents to select the population with greater objective function hydrogen transfer load and economic benefits. Then, the selected individuals are selected, crossovered, and mutated to form offspring, until the generated second generation meets the stopping criterion (the objective function value of the second generation is greater than that of the parent population).

[0116] The parent and offspring populations are merged, and new individuals are selected again to form a new parent population through non-dominated sorting and crowding calculation, until the new parent population meets the stopping criterion (the objective function value of the new parent population is further improved).

[0117] Set the number of iterations, and let the new parent population repeat the selection, crossover, and mutation behaviors until the number of iterations is satisfied. Then, output the objective function value of the optimal individual in the population after the iterations and the hydrogen cost, that is, a set of hydrogen cost standards that generate the maximum hydrogen load transfer and the maximum economic benefits of hydrogen production enterprises in the population.

[0118] In actual operation within the industrial park, hydrogen production companies record the actual hydrogen load transfer amount ΔH from industrial users. i '(t), through the formula Calculate the actual hydrogen utility θ'(t) of industrial user i during time period t, and update the hydrogen cost during time period t to r. i '(t)=r i(t) θ'(t), replace the actual hydrogen use utility θ'(t) of different time periods in the formula with θ(t) to update the fitting parameters α and β, and apply them in subsequent hydrogen use cost standard setting.

[0119] After the daily scheduling plan is completed, the subsequent hydrogen use cost generation range is adjusted according to user feedback, fitting parameter changes and actual operation effect, and the hydrogen production and hydrogen supply plan is continuously optimized to achieve better electric-hydrogen coupling effect and reliable operation of the industrial park.

[0120] Please refer to Figure 6 The computer device provided by the embodiment of the application is shown in the structural schematic diagram. The computer device 400 provided by the embodiment of the application comprises a processor 410 and a memory 420, the memory 420 stores a computer program executable by the processor 410, and the computer program is executed by the processor 410 to perform the method as above.

[0121] The embodiment of the application further provides a storage medium 430, and the storage medium 430 stores a computer program, and the computer program is executed by the processor 410 to perform the method as above.

[0122] The storage medium 430 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk or an optical disk.

[0123] In the description of the application, the terms "first", "second" are only used for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. The meaning of "a plurality of" is two or more, unless otherwise specifically limited.

[0124] In the present application, unless specifically defined otherwise and limited in the specification, the terms "mount", "connect", "connection", "contact", and the like are to be construed in their broadest possible sense, such as to include fixed connections, detachable connections, or integral connections; mechanical connections, electrical connections, or connections made by means of intermediate medium; direct connections, or indirect connections via intermediate medium; internal connections between elements, or interaction between elements. The specific meaning of the above terms in the present application can be understood by those skilled in the art according to the specific circumstances.

[0125] In the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present application, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. In addition, the skilled person in the art can combine and combine the different embodiments or examples described in the present application and the features of the different embodiments or examples, without contradiction.

[0126] Any process or method descriptions or descriptions of the flow diagrams in the present application can be understood as representing code modules, segments, or portions of code that include one or more executable instructions for performing specific logic functions or steps in the process, and the preferred embodiments of the present application include additional implementations in which the order of steps can be changed, including use of the same step more than once, use of the same step in different orders, use of the same step in different ways, use of different steps in the same order, use of different steps in different orders, use of different steps in different ways, and so on, as will be appreciated by those skilled in the art.

[0127] The logic and / or steps represented in flow diagrams or otherwise described herein, for example, can be considered as a sequence of instructions to implement logic functions, and can be realized in any computer-readable medium for use by an instruction execution system, apparatus, or device, such as a computer-based system, processor- containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this specification, a "computer-readable medium" can be any means that can contain, store, communicate, propagate or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include an electronic connection (an electronic device), a portable computer diskette (a magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium can even be paper or other suitable medium upon which the program is printed, as the program can be electronically captured, for example, by optically scanning the paper or other suitable medium, then electronically converted into a form that is suitable for use by the instruction execution system, apparatus, or device, and then stored in computer memory.

[0128] It should be understood that various parts of the present application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, and as in another embodiment, it can be implemented using any or a combination of the following technologies, which are well-known in the art: discrete logic circuitry having logic gates for implementing logic functions upon data signals, application specific integrated circuits having appropriate combinational logic gates, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.

[0129] Those skilled in the art can understand that all or part of the steps carried out by the above-mentioned embodiment method can be completed by a program instructing the relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or a combination thereof.

[0130] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and cannot be understood as limiting the present application. Those skilled in the art can make changes, modifications, replacements and variations to the above-mentioned embodiments within the scope of the present application.

Claims

1. A hydrogen dispatching method considering the supply and demand relationship of hydrogen electricity, characterized in that, Includes the following steps: Collect the day-ahead power supply plan and hydrogen consumption plan, and determine the operating conditions based on the collected plans; Based on the aforementioned operating conditions, hydrogen production and consumption plans are formulated, and user hydrogen consumption utility functions are established. A set of hydrogen usage costs with the optimal objective function is obtained by solving a bi-objective optimization algorithm, and a hydrogen usage scheduling plan is generated. Monitor the amount of hydrogen load transfer, update the fitting parameters in the hydrogen utility function, collect user feedback, update the hydrogen cost, and update the hydrogen scheduling plan. The operating conditions include: Power supply from upstream during time period t It can simultaneously meet the power demand. Hydrogen production power demand , represented as ; Power supply from upstream during time period t It can only meet the power demand. However, it does not meet the hydrogen production capacity requirements. , represented as ; Power supply from upstream during time period t Unable to meet power demand , represented as ; The hydrogen utilization function is: ； In the formula, and For the fitting parameters, For the planned hydrogen supply; The process of obtaining a set of hydrogen costs using the optimal objective function through a dual-objective optimization algorithm includes the following steps: Generate multiple sets of hydrogen cost sequences The initial benchmark cost of hydrogen consumption is set as the average of the hydrogen consumption cost series for all time periods within the day, i.e.: ； Based on the hydrogen utility function Using hydrogen planning to calculate hydrogen load transfer volume; Based on the hydrogen load transfer volume of all industrial users throughout the entire period Economic benefits of hydrogen production enterprises To optimize the objective, a set of hydrogen cost standards is derived to generate the maximum hydrogen load transfer and the maximum economic benefit for the hydrogen production enterprise. This generates hydrogen load transfer for industrial users.

2. The hydrogen dispatching method considering the supply and demand relationship of hydrogen and electricity according to claim 1, characterized in that, The process of formulating hydrogen production and consumption plans based on the operating conditions includes: when At that time, multiple power All of the hydrogen is consumed and used for hydrogen production and stored in hydrogen storage tanks. Under this operating condition, the planned hydrogen production capacity during time period t is... The planned hydrogen supply is , Energy loss per unit of hydrogen production; when When hydrogen is insufficient, hydrogen from storage tanks is delivered to users to meet the hydrogen supply shortage. If the hydrogen storage capacity in the tanks is insufficient, the power grid must provide hydrogen production capacity. To meet the hydrogen supply demand, the planned hydrogen production capacity during time period t under this operating condition is: The planned hydrogen supply is ; when At the same time, the hydrogen stored in the hydrogen storage tank is used to generate electricity to meet the power supply shortage. After meeting the power supply shortage, if there is a surplus of hydrogen in the storage tank, it is supplied to industrial users to meet the hydrogen supply shortage. If the hydrogen storage in the storage tank is insufficient to meet the shortage, the power grid needs to provide hydrogen production power. To meet the hydrogen supply demand, the planned hydrogen production capacity during time period t under this operating condition is: The planned hydrogen supply is .

3. The hydrogen dispatching method considering the supply and demand relationship of hydrogen and electricity according to claim 1, characterized in that, The monitoring of hydrogen load transfer and updating the fitted parameters in the hydrogen utility function includes the following steps: Record the actual amount of hydrogen load transferred by the user ; Through formula Calculate the actual hydrogen usage efficiency of industrial user i during time period t. ; Actual hydrogen utilization efficiency at different time periods Replacement Formula In Update fitting parameters and .

4. The hydrogen dispatching method considering the supply and demand relationship of hydrogen electricity according to claim 3, characterized in that, The hydrogen utility function Using hydrogen planning to calculate hydrogen load transfer includes: Let the baseline cost of hydrogen for industrial user i be... Yuan / Nm 3 The cost of useful hydrogen during time period t Yuan / Nm 3 ,when At that time, industrial user i generates hydrogen load transfer volume ; Industrial users i have Nm 3 The demand for hydrogen is shifted to subsequent time periods, at which point the cost is updated using the hydrogen baseline cost at the next time point. Industrial users' hydrogen consumption updated to ; Ruodang hour, The cost remains unchanged using hydrogen as the benchmark in the next moment.

5. The hydrogen dispatching method considering the supply and demand relationship of hydrogen electricity according to claim 4, characterized in that, The bi-objective optimization algorithm includes the following steps: Input day-ahead power supply and hydrogen consumption plans, and hydrogen consumption cost series. Initialize the hydrogen cost sequence population; input the objective function: the hydrogen load transfer amount of all industrial users throughout the entire time period. Economic benefits of hydrogen production enterprises The calculation method calculates the objective function value of the population, which is based on the hydrogen cost sequence. Calculate the hydrogen load transfer volume of all industrial users throughout the entire period. Economic benefits of hydrogen production enterprises ; Non-dominated sorting was used to screen multiple sets of parent generation hydrogen cost sequences, and multiple sets of child generation hydrogen cost sequences were formed by selecting, crossing over, and mutating the screened individuals. Once the objective function values ​​corresponding to the multiple sets of offspring hydrogen cost sequences generated are greater than the objective function values ​​corresponding to the multiple sets of parent hydrogen cost sequences, the parent population and the offspring population are merged. New individuals are then selected to form a new parent population through non-dominated sorting and crowding calculation. The stopping criterion is met when the objective function value corresponding to the new parent population is greater than the objective function value corresponding to the offspring population. By setting the number of iterations, the new parent population is subjected to repeated selection, crossover, and mutation behaviors until the number of iterations is satisfied. Then, the objective function value of the optimal individual in the population after the iterations is output, which can calculate a set of hydrogen cost sequences that represent the maximum hydrogen load transfer and the maximum economic benefits of hydrogen production enterprises.

6. A hydrogen dispatching device that considers the supply and demand relationship of hydrogen electricity, characterized in that, Using the method as described in any one of claims 1 to 5, the apparatus comprises: The operating condition judgment unit is used to collect the day-ahead power supply plan and hydrogen consumption plan, and to judge the operating condition based on the collected plans; The hydrogen utility calculation unit is used to formulate hydrogen production and consumption plans based on the operating conditions and to establish a user hydrogen utility function. The hydrogen scheduling unit is used to obtain a set of hydrogen usage costs by solving the optimal objective function through a bi-objective optimization algorithm, and to generate a hydrogen usage scheduling plan. The update unit is used to monitor the amount of hydrogen load transfer, update the fitting parameters in the hydrogen utility function, collect user feedback, update the hydrogen cost, and update the hydrogen scheduling plan.

7. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1-5.

8. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method as described in any one of claims 1-5.

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