Long and short time combined hydrogen storage operation optimization method and device for electricity-hydrogen system containing multiple storage tanks, medium and product

Abstract

The invention discloses a long-time and short-time combined hydrogen storage operation optimization method and device for an electricity-hydrogen system containing multiple storage tanks, a medium and a product, and relates to the technical field of new energy hydrogen production. The method comprises the steps that performance parameters of all equipment in the electricity-hydrogen system are obtained; the equipment comprises an electrolytic bath, an energy storage battery, a short-time storage tank and a long-time storage tank, based on the performance parameters of each device, establishing an operation model of the corresponding device; based on the performance parameters and the operation models of all the devices, a long-short-time combined hydrogen storage operation mathematical model of the electricity-hydrogen system is established; acquiring new energy historical power generation data and hydrogen demand load data of the electricity-hydrogen system; and based on the new energy historical power generation data and the hydrogen demand load data, solving the long and short time combined hydrogen storage operation mathematical model by using a genetic algorithm, and determining an optimal operation scheme of the electricity-hydrogen system. According to the invention, the operation cost of the electro-hydrogen system is reduced.

Description

Technical Field

[0001] The present application relates to the technical field of hydrogen production from new energy, and in particular to a method, device, medium and product for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks. Background Art

[0002] As the penetration rate of renewable energy generation continues to increase, using energy storage technology to improve its consumption level has become an important way to improve the utilization of electric energy. Hydrogen, as a clean and long-term storable zero-carbon energy, uses water electrolysis to produce hydrogen to build an electricity-hydrogen system, which is an important way for China's energy low-carbon transformation.

[0003] How to give full play to the long-term storage characteristics of hydrogen and achieve the optimal economic operation of the electric hydrogen production system is an important issue that needs to be urgently solved in the field of new energy hydrogen production system operation research. The inherent volatility and seasonality of new energy power generation not only require the hydrogen storage system to have extremely high flexibility, but also to have the ability to store for a long time. However, in the existing electric-hydrogen system operation model, most of the considerations are the operation of a single storage tank, which makes it difficult for its charging / discharging state to exist at the same time, restricting the flexibility of the hydrogen storage system, and rarely mentioning the long-term storage characteristics of the storage tank. Therefore, the rational use of the flexible adjustment of the charging / discharging state of multiple storage tanks, the realization of the operation mode of discharging hydrogen in the remaining storage tanks during the hydrogen filling process of some storage tanks, and the combination of the characteristics of long-term storage and low loss can effectively improve the flexibility of the hydrogen storage system and reduce the overall operating cost of the electric-hydrogen system.

[0004] Therefore, there is an urgent need for an optimization method for long- and short-term combined hydrogen storage operation of an electric-hydrogen system containing multiple storage tanks. Summary of the invention

[0005] The purpose of this application is to provide a method, device, medium and product for optimizing the long-term and short-term combined hydrogen storage operation of an electric-hydrogen system containing multiple storage tanks, so as to give full play to the long-term characteristics of hydrogen energy storage, combine with a multi-tank operation model, and reduce the operating cost of the electric-hydrogen system.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks, comprising:

[0008] Obtaining performance parameters of each device in the electric-hydrogen system; the devices include electrolyzers, energy storage batteries, short-term storage tanks, and long-term storage tanks;

[0009] Establish an operation model of the corresponding equipment based on the performance parameters of each equipment;

[0010] Based on the performance parameters of each device and each of the operation models, a mathematical model of long- and short-term combined hydrogen storage operation of the electric-hydrogen system is established; the mathematical model of long- and short-term combined hydrogen storage operation includes: an objective function and constraints, the objective function takes the annual operation and maintenance cost of the electric-hydrogen system as the minimum, and the constraints include: power balance constraints, hydrogen load constraints, electrolyzer start and stop time constraints, electrolyzer power upper and lower limits and climbing power constraints, energy storage battery operation status, charge and discharge power upper and lower limits and capacity constraints, short-term storage tank and long-term storage tank operation status, hydrogen charging and discharging upper and lower limits and capacity constraints, and long-term storage tank charging / discharging state duration constraints;

[0011] Acquire new energy historical power generation data and hydrogen demand load data of the electricity-hydrogen system;

[0012] Based on the historical power generation data of new energy and the hydrogen demand load data, the long-term and short-term combined hydrogen storage operation mathematical model is solved by using a genetic algorithm to determine the optimal operation plan of the electricity-hydrogen system.

[0013] Optionally, the performance parameters include: power, capacity, hydrogen production efficiency, charging efficiency, discharging efficiency, hydrogen self-loss rate, the number of short-term storage tanks and the number of long-term storage tanks.

[0014] Optionally, the operation model of the electrolyzer includes:

[0015] P t EL =P t re,EL +P t bat,EL ;

[0016]

[0017] Among them, P t EL is the power of the electrolytic cell in the tth period; P t re,EL is the power output of the renewable energy to the electrolyzer in period t; P t bat,EL is the power output from the energy storage battery to the electrolyzer at time period t; is the hydrogen production of the electrolyzer in the tth period; η EL The energy efficiency of hydrogen production in electrolyzers;

[0018] The operation model of the energy storage battery includes:

[0019]

[0020] in, is the capacity of the energy storage battery at the tth period; is the capacity of the energy storage battery in the t-1 period; η bat,ch is the charging efficiency of the energy storage battery; P t ch is the charging power of the energy storage battery in the tth period; P t dis is the discharge power of the energy storage battery in the tth period; η bat,dis is the discharge efficiency of the energy storage battery; Δt is the time step;

[0021] Operation model of short-term storage tank, including:

[0022]

[0023] in, is the capacity of the ath short-term storage tank in the tth period; η hs,loss is the short-term hydrogen self-loss rate of the storage tank; is the capacity of the ath short-term storage tank in the t-1th period; η hs,ch is the hydrogen filling efficiency of the short-term storage tank; is the hydrogen filling amount of the a-th short-term storage tank in the t-th period; is the amount of hydrogen released by the a-th short-term storage tank in the t-th period; η hs,dis is the hydrogen release efficiency of the short-term storage tank;

[0024] Operation model of long-term storage tanks, including:

[0025]

[0026] in, is the capacity of the b-th long-term storage tank at the t-th period; η shs,loss is the hydrogen self-loss rate of the long-term storage tank; is the capacity of the b-th long-term storage tank in the t-1 period; η shs,ch The hydrogen filling efficiency of the long-term storage tank; is the hydrogen filling amount of the b-th long-term storage tank in the t-th period; is the amount of hydrogen released by the b-th long-term storage tank in the t-th period; η shs,dis It is the hydrogen release efficiency of long-term storage tank.

[0027] Optionally, the objective function includes:

[0028] minC 总 =C EL +C bat +C hs +C shs ;

[0029]

[0030] Among them, C 总is the annual operation and maintenance cost of the electricity-hydrogen system; C EL is the annual operation and maintenance cost of the electrolyzer; C bat is the annual operation and maintenance cost of the energy storage battery; C hs is the annual operation and maintenance cost of the short-term storage tank; C shs is the annual operation and maintenance cost of the long-term storage tank; T is the number of time periods; is the unit price of water; is the water consumption of the electrolytic cell in the tth period; k EL is the unit operation and maintenance cost of the electrolyzer; α is the conversion rate of water to hydrogen; G t is the hydrogen demand load data for the tth period; k bat is the unit operation and maintenance cost of the energy storage battery; k hs is the unit operation and maintenance cost of the short-term storage tank; A is the number of short-term storage tanks; k shs is the unit operation and maintenance cost of the long-term storage tank; B is the number of long-term storage tanks.

[0031] Optionally, power balance constraints include:

[0032] P t re =P t EL +P t ch -P t dis ;

[0033] Among them, P t re is the total power output of the renewable energy in period t;

[0034] Hydrogen loading constraints, including:

[0035]

[0036] The start and stop time constraints of the electrolyzer include:

[0037]

[0038] in, is the hydrogen production state of the electrolyzer at the t-1 period; is the hydrogen production state of the electrolyzer at the tth period; T is the time that the electrolyzer has been continuously powered on before the t-1 period; EL,on The time required to start up the electrolyser; T is the continuous shutdown time of the electrolytic cell before the t-1 period; EL,off The time required to shut down the electrolyzer;

[0039] The power upper and lower limits and ramp power constraints of the electrolyzer include:

[0040]

[0041] in, is the minimum power allowed for the electrolyzer; is the maximum power allowed by the electrolyzer; is the maximum climbing power allowed for the electrolyzer; is the power of the electrolyzer at the t-1 period;

[0042] The operating status, upper and lower limits of charge and discharge power, and capacity constraints of the energy storage battery, including:

[0043]

[0044] in, is the charging state of the energy storage battery at the tth period, Indicates charging; is the discharge state of the energy storage battery in the tth period, Indicates discharge; is the maximum charging power of the energy storage battery; is the maximum discharge power of the energy storage battery; is the minimum capacity of the energy storage battery; is the maximum capacity of the energy storage battery;

[0045] The operating status, upper and lower limits of hydrogen filling and discharging, and capacity constraints of short-term and long-term storage tanks, including:

[0046]

[0047] in, is the hydrogen filling state of the a-th short-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the a-th short-term storage tank at the t-th period, Indicates release of hydrogen; is the hydrogen filling state of the b-th long-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the b-th long-term storage tank at the t-th period, Indicates release of hydrogen; is the maximum allowable hydrogen filling amount of the a-th short-term storage tank; is the maximum allowable hydrogen filling amount of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the capacity of hydrogen stored in the ath short-term storage tank at the tth period; is the maximum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the bth long-term storage tank; is the capacity of hydrogen stored in the bth long-term storage tank at the tth period; is the maximum capacity of hydrogen allowed to be stored in the bth long-term storage tank;

[0048] The duration constraints of long-term storage tank filling / discharging hydrogen state include:

[0049]

[0050] in, is the hydrogen filling status of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has been continuously filled with hydrogen before the t-1 period; shs,b,ch The minimum duration required to fill the bth long-term storage tank with hydrogen; is the hydrogen release state of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has continuously discharged hydrogen before the t-1 period; shs,b,dis The minimum duration required to discharge hydrogen from the bth long-term storage tank.

[0051] Optionally, based on the historical power generation data of new energy and the hydrogen demand load data, a genetic algorithm is used to solve the long-term and short-term combined hydrogen storage operation mathematical model to determine the optimal operation plan of the electricity-hydrogen system, including:

[0052] Obtaining historical renewable energy power generation data and hydrogen demand load data of the electricity-hydrogen system within one year according to a time step of 1 hour;

[0053] The historical new energy power generation data and hydrogen demand load data of the electric-hydrogen system within one year and the performance parameters of each device are input into the long- and short-time combined hydrogen storage operation mathematical model, and the long- and short-time combined hydrogen storage operation mathematical model is solved using a genetic algorithm to obtain the optimal operation plan of the electrolyzer, energy storage battery, short-time storage tank and long-time storage tank within one year, thereby determining the optimal operation plan of the electric-hydrogen system.

[0054] Optionally, before obtaining the performance parameters of each device in the electricity-hydrogen system, the method further includes:

[0055] Build an electric-hydrogen system with multiple short-term storage tanks and long-term storage tanks.

[0056] In a second aspect, the present application provides a computer device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-mentioned methods for optimizing the long- and short-term combined hydrogen storage operations of an electric-hydrogen system containing multiple storage tanks.

[0057] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned methods for optimizing the long- and short-term combined hydrogen storage operations of an electric-hydrogen system containing multiple storage tanks.

[0058] In a fourth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the above-mentioned methods for optimizing the long- and short-term combined hydrogen storage operations of an electric-hydrogen system containing multiple storage tanks.

[0059] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0060] The present application discloses a method, device, medium and product for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks. Compared with the existing optimization of a single storage tank in the process of hydrogen charging and discharging, the electric-hydrogen system containing multiple storage tanks is more in line with the actual operation, and the established mathematical model of long- and short-term combined hydrogen storage operation can improve the flexibility of tank operation. For example, a single storage tank cannot exist in the two states of hydrogen charging and hydrogen discharging at the same time, while multiple storage tanks can make one of the storage tanks charge hydrogen and the other storage tank discharge hydrogen. The method for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks is conducive to giving full play to the long-term characteristics of hydrogen energy storage, and combined with the multi-tank operation model, it is conducive to reducing the operating cost of the electric-hydrogen system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0062] Figure 1 A schematic flow chart of a method for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system with multiple storage tanks provided in one embodiment of the present application;

[0063] Figure 2 It is a schematic diagram of the structure of a multi-tank electric-hydrogen system;

[0064] Figure 3 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0066] The purpose of this application is to provide a method, device, medium and product for optimizing the long-term and short-term combined hydrogen storage operation of an electric-hydrogen system containing multiple storage tanks, aiming to reduce the operating cost of the electric-hydrogen system.

[0067] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0068] In an exemplary embodiment, Figure 1 As shown, the long-term and short-term combined hydrogen storage operation optimization method of the electric-hydrogen system containing multiple storage tanks in this embodiment includes:

[0069] Step 1: Obtain the performance parameters of each device in the electric-hydrogen system; the equipment includes electrolyzer, energy storage battery, short-term storage tank and long-term storage tank.

[0070] As an optional implementation, the performance parameters include: power, capacity, hydrogen production efficiency, charging efficiency, discharging efficiency, hydrogen self-loss rate, the number of short-term storage tanks and the number of long-term storage tanks.

[0071] As an optional implementation manner, before step 1, the method further includes:

[0072] Build an electric-hydrogen system with multiple short-term storage tanks and long-term storage tanks.

[0073] Specifically, Figure 2 As shown, the electric-hydrogen system includes: a new energy generator set, an electrolyzer, an energy storage battery, a short-term hydrogen storage tank (i.e., a short-term storage tank) and a long-term hydrogen storage tank (i.e., a long-term storage tank). This application only optimizes the operation schemes of the electrolyzer, the energy storage battery, the short-term storage tank and the long-term storage tank, and provides the optimal operation scheme for the combined operation of the long-term hydrogen storage and the short-term hydrogen storage of the electric-hydrogen system under the premise of considering the operation of multiple storage tanks.

[0074] Step 2: Establish an operation model of the corresponding device based on the performance parameters of each device.

[0075] As an optional implementation, the operation model of the electrolyzer includes:

[0076] P t EL =P tre,EL +P t bat,EL .

[0077]

[0078] Among them, P t EL is the power of the electrolytic cell in the tth period; P t re,EL is the power output of the renewable energy to the electrolyzer in the t period; P t bat,EL is the power output from the energy storage battery to the electrolyzer at time period t; is the hydrogen production of the electrolyzer in the tth period; η EL Energy efficiency of hydrogen production in electrolyzer.

[0079] The operation model of the energy storage battery includes:

[0080]

[0081] in, is the capacity of the energy storage battery at the tth period; is the capacity of the energy storage battery in the t-1 period; η bat,ch is the charging efficiency of the energy storage battery; P t ch is the charging power of the energy storage battery in the tth period; P t dis is the discharge power of the energy storage battery in the tth period; η bat,dis is the discharge efficiency of the energy storage battery; Δt is the time step.

[0082] Operation model of short-term storage tank, including:

[0083]

[0084] in, is the capacity of the ath short-term storage tank in the tth period; η hs,loss is the short-term hydrogen self-loss rate of the storage tank; is the capacity of the ath short-term storage tank in the t-1th period; η hs,ch is the hydrogen filling efficiency of the short-term storage tank; is the hydrogen filling amount of the a-th short-term storage tank in the t-th period; is the amount of hydrogen released by the a-th short-term storage tank in the t-th period; η hs,dis It is the hydrogen release efficiency of the short-term storage tank.

[0085] Operation model of long-term storage tanks, including:

[0086]

[0087] in, is the capacity of the b-th long-term storage tank at the t-th period; η shs,loss is the hydrogen self-loss rate of the long-term storage tank; is the capacity of the b-th long-term storage tank in the t-1 period; η shs,ch The hydrogen filling efficiency of the long-term storage tank; is the hydrogen filling amount of the b-th long-term storage tank in the t-th period; is the amount of hydrogen released by the b-th long-term storage tank in the t-th period; η shs,dis It is the hydrogen release efficiency of long-term storage tank.

[0088] Step 3: Based on the performance parameters of each device and each operation model, a mathematical model of the long-term and short-term combined hydrogen storage operation of the electric-hydrogen system is established.

[0089] Among them, the mathematical model of long-term and short-term combined hydrogen storage operation includes: objective function and constraints. The objective function aims to minimize the annual operation and maintenance cost of the electric-hydrogen system. The constraints include: power balance constraints, hydrogen load constraints, electrolyzer start and stop time constraints, electrolyzer power upper and lower limits and climbing power constraints, energy storage battery operating status, charging and discharging power upper and lower limits and capacity constraints, short-term storage tanks and long-term storage tanks operating status, hydrogen charging and discharging volume upper and lower limits and capacity constraints, and long-term storage tank charging / discharging state duration constraints.

[0090] As an optional implementation, the objective function includes:

[0091] minC 总 =C EL +C bat +C hs +C shs .

[0092]

[0093] Among them, C 总 is the annual operation and maintenance cost of the electricity-hydrogen system; C EL is the annual operation and maintenance cost of the electrolyzer; C bat is the annual operation and maintenance cost of the energy storage battery; C hs is the annual operation and maintenance cost of the short-term storage tank; C shs is the annual operation and maintenance cost of the long-term storage tank; T is the number of time periods; is the unit price of water; is the water consumption of the electrolytic cell in the tth period; k EL is the unit operation and maintenance cost of the electrolyzer; α is the conversion rate of water to hydrogen; G t is the hydrogen demand load data for the tth period; k bat is the unit operation and maintenance cost of the energy storage battery; k hsis the unit operation and maintenance cost of the short-term storage tank; A is the number of short-term storage tanks; k shs is the unit operation and maintenance cost of the long-term storage tank; B is the number of long-term storage tanks.

[0094] As an optional implementation manner, the power balance constraint includes:

[0095] P t re =P t EL +P t ch -P t dis .

[0096] Among them, P t re is the total power output of the renewable energy in the tth period.

[0097] Hydrogen loading constraints, including:

[0098]

[0099] The start and stop time constraints of the electrolyzer include:

[0100]

[0101] in, is the hydrogen production state of the electrolyzer at the t-1 period; ε t EL is the hydrogen production state of the electrolyzer at the tth period; T is the time that the electrolyzer has been continuously powered on before the t-1 period; EL,on The time required to start up the electrolyser; T is the continuous shutdown time of the electrolytic cell before the t-1 period; EL,off The time required for the electrolyzer to be shut down.

[0102] The power upper and lower limits and ramp power constraints of the electrolyzer include:

[0103]

[0104] in, is the minimum power allowed for the electrolyzer; is the maximum power allowed by the electrolyzer; is the maximum climbing power allowed for the electrolyzer; is the power of the electrolyzer in the t-1 period.

[0105] The operating status, upper and lower limits of charge and discharge power, and capacity constraints of the energy storage battery, including:

[0106]

[0107] in, is the charging state of the energy storage battery at the tth period, Indicates charging; is the discharge state of the energy storage battery in the tth period, Indicates discharge; is the maximum charging power of the energy storage battery; is the maximum discharge power of the energy storage battery; is the minimum capacity of the energy storage battery; The maximum capacity of the energy storage battery.

[0108] The operating status, upper and lower limits of hydrogen filling and discharging, and capacity constraints of short-term and long-term storage tanks, including:

[0109]

[0110] in, is the hydrogen filling state of the a-th short-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the a-th short-term storage tank at the t-th period, Indicates release of hydrogen; is the hydrogen filling state of the b-th long-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the b-th long-term storage tank at the t-th period, Indicates release of hydrogen; is the maximum allowable hydrogen filling amount of the a-th short-term storage tank; is the maximum allowable hydrogen filling amount of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the capacity of hydrogen stored in the ath short-term storage tank at the tth period; is the maximum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the bth long-term storage tank; is the capacity of hydrogen stored in the bth long-term storage tank at the tth period; The maximum capacity of hydrogen allowed to be stored in the bth long-term storage tank.

[0111] The duration constraints of long-term storage tank filling / discharging hydrogen state include:

[0112]

[0113] in, is the hydrogen filling status of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has been continuously filled with hydrogen before the t-1 period; shs,b,ch The minimum duration required to fill the bth long-term storage tank with hydrogen; is the hydrogen release state of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has continuously discharged hydrogen before the t-1 period; shs,b,dis The minimum duration required to discharge hydrogen from the bth long-term storage tank.

[0114] Step 4: Obtain the historical renewable energy power generation data and hydrogen demand load data of the electricity-hydrogen system.

[0115] Step 5: Based on the historical power generation data of new energy and the hydrogen demand load data, the genetic algorithm is used to solve the mathematical model of long-term and short-term combined hydrogen storage operation to determine the optimal operation plan of the electricity-hydrogen system.

[0116] As an optional implementation, step 5 includes:

[0117] Step 51: Obtain historical renewable energy power generation data and hydrogen demand load data of the electricity-hydrogen system within one year according to a time step of 1 hour;

[0118] Step 52: Input the historical new energy power generation data and hydrogen demand load data of the electric-hydrogen system within one year and the performance parameters of each device into the long- and short-term combined hydrogen storage operation mathematical model, and use a genetic algorithm to solve the long- and short-term combined hydrogen storage operation mathematical model to obtain the optimal operation plan of the electrolyzer, energy storage battery, short-term storage tank and long-term storage tank within one year, thereby determining the optimal operation plan of the electric-hydrogen system.

[0119] In an exemplary embodiment, a computer device is provided, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement a method for optimizing the long- and short-term combined hydrogen storage operations of an electric-hydrogen system containing multiple storage tanks.

[0120] In an exemplary embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, a method for optimizing the operation of long-term and short-term combined hydrogen storage of an electric-hydrogen system containing multiple storage tanks is implemented.

[0121] In an exemplary embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements a method for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks.

[0122] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for optimizing the long- and short-term combined hydrogen storage operation of an electric-hydrogen system containing multiple storage tanks is implemented.

[0123] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0124] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0125] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0126] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0127] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0128] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks, characterized in that: The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks comprises: Obtaining performance parameters of each device in the electric-hydrogen system; the devices include electrolyzers, energy storage batteries, short-term storage tanks, and long-term storage tanks; Establish an operation model of the corresponding equipment based on the performance parameters of each equipment; Based on the performance parameters of each device and each of the operation models, a mathematical model of long- and short-term combined hydrogen storage operation of the electric-hydrogen system is established; the mathematical model of long- and short-term combined hydrogen storage operation includes: an objective function and constraints, the objective function takes the annual operation and maintenance cost of the electric-hydrogen system as the minimum, and the constraints include: power balance constraints, hydrogen load constraints, electrolyzer start and stop time constraints, electrolyzer power upper and lower limits and climbing power constraints, energy storage battery operation status, charge and discharge power upper and lower limits and capacity constraints, short-term storage tank and long-term storage tank operation status, hydrogen charging and discharging upper and lower limits and capacity constraints, and long-term storage tank charging / discharging state duration constraints; Acquire new energy historical power generation data and hydrogen demand load data of the electricity-hydrogen system; Based on the historical power generation data of new energy and the hydrogen demand load data, the long-term and short-term combined hydrogen storage operation mathematical model is solved by using a genetic algorithm to determine the optimal operation plan of the electricity-hydrogen system.

2. The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks according to claim 1, characterized in that: The performance parameters include: power, capacity, hydrogen production efficiency, charging efficiency, discharging efficiency, hydrogen self-loss rate, the number of short-term storage tanks and the number of long-term storage tanks.

3. According to the method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks in claim 1, the operation model of the electrolyzer comprises: P t EL =P t re,EL +P t bat,EL ; G t EL =the EL P t EL ; Among them, P t EL is the power of the electrolytic cell in the tth period; P t re,EL is the power output of the renewable energy to the electrolyzer in the t period; P t bat,EL is the power output from the energy storage battery to the electrolyzer at time period t; is the hydrogen production of the electrolyzer in the tth period; η EL The energy efficiency of hydrogen production in electrolyzers; The operation model of the energy storage battery includes: in, is the capacity of the energy storage battery at the tth period; is the capacity of the energy storage battery in the t-1 period; η bat,ch is the charging efficiency of the energy storage battery; P t ch is the charging power of the energy storage battery in the tth period; P t dis is the discharge power of the energy storage battery in the tth period; η bat,dis is the discharge efficiency of the energy storage battery; Δt is the time step; Operation model of short-term storage tank, including: in, is the capacity of the ath short-term storage tank in the tth period; η hs,loss is the short-term hydrogen self-loss rate of the storage tank; is the capacity of the ath short-term storage tank in the t-1th period; η hs,ch is the hydrogen filling efficiency of the short-term storage tank; is the hydrogen filling amount of the a-th short-term storage tank in the t-th period; is the amount of hydrogen released by the a-th short-term storage tank in the t-th period; η hs,dis is the hydrogen release efficiency of the short-term storage tank; Operation model of long-term storage tanks, including: in, is the capacity of the b-th long-term storage tank at the t-th period; η shs,loss is the hydrogen self-loss rate of the long-term storage tank; is the capacity of the b-th long-term storage tank in the t-1 period; η shs,ch The hydrogen filling efficiency of the long-term storage tank; is the hydrogen filling amount of the b-th long-term storage tank in the t-th period; is the amount of hydrogen released by the b-th long-term storage tank in the t-th period; η shs,dis It is the hydrogen release efficiency of long-term storage tank.

4. The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks according to claim 3 is characterized in that: The objective function includes: minC 总 =C EL +C bat +C hs +C shs ; Among them, C 总 is the annual operation and maintenance cost of the electricity-hydrogen system; C EL is the annual operation and maintenance cost of the electrolyzer; C bat is the annual operation and maintenance cost of the energy storage battery; C hs is the annual operation and maintenance cost of the short-term storage tank; C shs is the annual operation and maintenance cost of the long-term storage tank; T is the number of time periods; is the unit price of water; is the water consumption of the electrolytic cell in the tth period; k EL is the unit operation and maintenance cost of the electrolyzer; α is the conversion rate of water to hydrogen; G t is the hydrogen demand load data for the tth period; k bat is the unit operation and maintenance cost of the energy storage battery; k hs is the unit operation and maintenance cost of the short-term storage tank; A is the number of short-term storage tanks; k shs is the unit operation and maintenance cost of the long-term storage tank; B is the number of long-term storage tanks.

5. The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks according to claim 4, characterized in that: Power balancing constraints, including: P t re =P t EL +P t ch -P t dis ; Among them, P t re is the total power output of the renewable energy in period t; Hydrogen loading constraints, including: The start and stop time constraints of the electrolyzer include: in, is the hydrogen production state of the electrolyzer at the t-1 period; is the hydrogen production state of the electrolyzer at the tth period; T is the time that the electrolyzer has been continuously powered on before the t-1 period; EL,on The time required to start up the electrolyser; T is the continuous shutdown time of the electrolytic cell before the t-1 period; EL,off The time required to shut down the electrolyzer; The power upper and lower limits and ramp power constraints of the electrolyzer include: in, is the minimum power allowed for the electrolyzer; is the maximum power allowed by the electrolyzer; is the maximum climbing power allowed for the electrolyzer; is the power of the electrolyzer at the t-1 period; The operating status, upper and lower limits of charge and discharge power, and capacity constraints of the energy storage battery, including: in, is the charging state of the energy storage battery at the tth period, Indicates charging; is the discharge state of the energy storage battery in the tth period, Indicates discharge; is the maximum charging power of the energy storage battery; is the maximum discharge power of the energy storage battery; is the minimum capacity of the energy storage battery; is the maximum capacity of the energy storage battery; The operating status, upper and lower limits of hydrogen filling and discharging, and capacity constraints of short-term and long-term storage tanks, including: in, is the hydrogen filling state of the a-th short-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the a-th short-term storage tank at the t-th period, Indicates release of hydrogen; is the hydrogen filling state of the b-th long-term storage tank at the t-th period, Indicates hydrogen charging; is the hydrogen release state of the b-th long-term storage tank at the t-th period, Indicates release of hydrogen; is the maximum allowable hydrogen filling amount of the a-th short-term storage tank; is the maximum allowable hydrogen filling amount of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the maximum allowable hydrogen discharge capacity of the bth long-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the capacity of hydrogen stored in the ath short-term storage tank at the tth period; is the maximum capacity of hydrogen allowed to be stored in the a-th short-term storage tank; is the minimum capacity of hydrogen allowed to be stored in the bth long-term storage tank; is the capacity of hydrogen stored in the bth long-term storage tank at the tth period; is the maximum capacity of hydrogen allowed to be stored in the bth long-term storage tank; The duration constraints of long-term storage tank filling / discharging hydrogen state include: in, is the hydrogen filling status of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has been continuously filled with hydrogen before the t-1 period; shs,b,ch The minimum duration required to fill the bth long-term storage tank with hydrogen; is the hydrogen release state of the b-th long-term storage tank at the t-1 period; T is the time that the b-th long-term storage tank has continuously discharged hydrogen before the t-1 period; shs,b,dis The minimum duration required to discharge hydrogen from the bth long-term storage tank.

6. The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks according to claim 1, characterized in that: Based on the historical power generation data of new energy sources and the hydrogen demand load data, the long-term and short-term combined hydrogen storage operation mathematical model is solved by using a genetic algorithm to determine the optimal operation plan of the electricity-hydrogen system, including: Obtaining historical renewable energy power generation data and hydrogen demand load data of the electricity-hydrogen system within one year according to a time step of 1 hour; The historical new energy power generation data and hydrogen demand load data of the electric-hydrogen system within one year and the performance parameters of each device are input into the long- and short-time combined hydrogen storage operation mathematical model, and the long- and short-time combined hydrogen storage operation mathematical model is solved using a genetic algorithm to obtain the optimal operation plan of the electrolyzer, energy storage battery, short-time storage tank and long-time storage tank within one year, thereby determining the optimal operation plan of the electric-hydrogen system.

7. The method for optimizing the operation of long-term and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks according to claim 1, characterized in that: Before obtaining the performance parameters of each device in the electric-hydrogen system, it also includes: Build an electric-hydrogen system with multiple short-term storage tanks and long-term storage tanks.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for optimizing the long- and short-term combined hydrogen storage operation of an electric-hydrogen system containing multiple storage tanks as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the method for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks as described in any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, it implements the method for optimizing the operation of long- and short-term combined hydrogen storage in an electric-hydrogen system containing multiple storage tanks as described in any one of claims 1 to 7.

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