Capacity configuration method and device of electricity-hydrogen hybrid energy storage system

Abstract

The invention relates to a capacity configuration method and device for an electricity-hydrogen hybrid energy storage system, and the method comprises the steps: calculating the cost of an early preparation stage, the cost in project operation, and a last phase residual value of a target electricity-hydrogen hybrid energy storage system; constructing a leveling cost model corresponding to the target electricity-hydrogen hybrid energy storage system through the cost of the early-stage preparation stage, the cost in project operation and the last-stage residual value, and determining a target function, a power balance constraint and an operation state constraint corresponding to the target electricity-hydrogen hybrid energy storage system; and based on the target function, the power balance constraint and the operation state constraint, constructing an energy storage capacity configuration model so as to perform capacity allocation on the target electricity-hydrogen hybrid energy storage system according to the energy storage capacity configuration model. Therefore, the problems that an existing electricity-hydrogen hybrid energy storage system is low in capacity distribution refinement degree, so that energy storage cannot meet the requirements of a power grid and the like are solved.

Description

Technical Field

[0001] The present application relates to the field of hybrid energy storage technology, and in particular to a capacity configuration method and device for an electric-hydrogen hybrid energy storage system. Background Art

[0002] With the large-scale grid connection of new energy, the new power system with the characteristics of high proportion of new energy and high proportion of power electronics is developing rapidly, facing severe challenges in multi-time scale power-energy balance. Energy storage, as a flexible response resource, is an important means to solve the above problems. At present, there are many different ways of energy storage, and the research on different types of energy storage is also very detailed. At the same time, with the development of technology, single energy storage cannot meet the technical requirements of multi-functional scenarios of new energy stations, and hybrid energy storage composed of different energy storage technologies has developed rapidly.

[0003] Battery energy storage technology has the advantages of high energy density, high cycle efficiency and long life; compressed air energy storage technology has the characteristics of low energy density, high cycle efficiency and long life; water storage energy storage technology has the characteristics of low energy density, high cycle efficiency and long life, but is subject to site restrictions; supercapacitor energy storage technology has the characteristics of high power density, high cycle efficiency and long life, but has low energy density.

[0004] Single energy storage technology has certain limitations in terms of operating life, cost, energy, power density and dynamic response. Hybrid energy storage couples two or more energy storage technologies and combines the technical characteristics of different energy storage types to meet more comprehensive needs. At this stage, hybrid energy storage is mainly based on a dual combination of power type and energy type, in which power type energy storage absorbs or supplies transient and peak power, and energy type energy storage meets long-term energy needs. This can not only meet the needs of rapid charging and discharging, cope with fluctuations in small power grids, provide rapid active support for power grids, but also meet the needs of long-term and large-scale energy imbalances. Conventional hybrid energy storage systems are widely studied. Compared with single energy storage structures, the technical and economic efficiency of the system is improved through the control strategies and energy distribution of different types of energy storage.

[0005] In recent years, the hybrid energy storage structure containing hydrogen energy storage has been widely studied, but the research content mainly focuses on microgrids or large-scale integrated energy systems such as thermal gas, and there are few studies on the large-scale consumption of new energy stations on the demand side. At the same time, more research focuses on the structure of hydrogen-containing hybrid energy storage and operation strategies and methods, and there are fewer studies that consider the operation characteristics, capacity configuration and economic efficiency of the energy storage itself.

[0006] In the existing electric-hydrogen hybrid energy storage system, the storage energy cannot meet the needs of the power grid due to the lack of refinement in capacity allocation. For example, in the synchronous operation of dual batteries, the two battery groups are always in different states, and the energy storage can respond to the needs of the power grid at any time. However, when the energy storage battery needs to be charged and discharged at high power, the capacity of a single battery group is not enough to smooth out the excess energy. At this time, the asynchronous switching strategy enables the two groups of batteries to be charged and discharged together when necessary to meet the needs of the power grid. However, when both groups of batteries are in a discharging or charging state, and the energy storage battery needs to be charged or discharged at this moment, both batteries cannot operate, and the storage energy cannot respond to the needs of the power grid.

[0007] In summary, the capacity allocation of existing electric-hydrogen hybrid energy storage systems is less refined, which makes energy storage unable to meet the needs of the power grid, and this problem needs to be solved urgently. Summary of the invention

[0008] The present application provides a capacity configuration method and device for an electric-hydrogen hybrid energy storage system to solve the problem that the capacity allocation of the existing electric-hydrogen hybrid energy storage system is not refined enough, so that the energy storage cannot meet the needs of the power grid.

[0009] A first aspect of the present application provides a method for capacity configuration of an electric-hydrogen hybrid energy storage system, comprising the following steps: calculating the pre-preparation stage cost, project operation cost and final residual value of a target electric-hydrogen hybrid energy storage system; constructing a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the pre-preparation stage cost, the project operation cost and the final residual value, and determining the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; constructing an energy storage capacity configuration model based on the objective function, the power balance constraint and the operating state constraint, so as to allocate capacity to the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0010] Optionally, in one embodiment of the present application, the calculation of the preparatory stage cost, project operation cost and final residual value of the target electric-hydrogen hybrid energy storage system includes: determining the unit capacity purchase price and rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the battery purchase cost through the unit capacity purchase price and the rated capacity; obtaining the unit power purchase price of the PCS system in the target electric-hydrogen hybrid energy storage system and the rated power of the energy storage battery, so as to calculate the purchase cost of the PCS system using the unit power purchase price and the rated power; determining the installation cost of the target electric-hydrogen hybrid energy storage system, and calculating the purchase cost of the PCS system based on the battery purchase cost, the PCS system purchase cost and the rated power; The cost of the preliminary preparation stage is calculated by the purchase price per unit capacity and the installation cost; the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost corresponding to the energy storage battery are obtained, so as to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system by using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; the battery replacement cost of the target electric-hydrogen hybrid energy storage system is calculated based on the unit capacity purchase price and the rated capacity of the energy storage battery, and the cost in project operation is calculated according to the operation and maintenance cost and the battery replacement cost; the residual value rate of the target electric-hydrogen hybrid energy storage system is determined, and the terminal residual value of the target electric-hydrogen hybrid energy storage system is calculated by the residual value rate.

[0011] Optionally, in one embodiment of the present application, determining the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system includes: determining the amount of abandoned electricity and the compensation coefficient of unit power limit of the target electric-hydrogen hybrid energy storage system, so as to calculate the power limit compensation income of the target electric-hydrogen hybrid energy storage system through the amount of abandoned electricity and the compensation coefficient of unit power limit; obtaining the target frequency regulation auxiliary income of the target electric-hydrogen hybrid energy storage system, the preset life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost, and establishing a target frequency regulation auxiliary income, the life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost through the target frequency regulation auxiliary income, the life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost. Establish the objective function; obtain the total charge and discharge power, charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power of the target electric-hydrogen hybrid energy storage system, and determine the power balance constraint according to the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power; determine the energy storage battery state of charge and the maximum charge and discharge power of the converter operation corresponding to the target electric-hydrogen hybrid energy storage system, and establish the operation state constraint based on the energy storage battery state of charge and the maximum charge and discharge power of the converter operation.

[0012] Optionally, in one embodiment of the present application, the mathematical expression of the levelized cost model is:

[0013]

[0014] Where I0 represents the cost of the preliminary preparation stage; O&M n represents the cost of the target electric-hydrogen hybrid energy storage system in the project operation in the nth year; V represents the terminal residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage and discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

[0015] Optionally, in one embodiment of the present application, the mathematical expression of the objective function is:

[0016] f1=max(S x -C bess -C q )

[0017] Among them, S x represents the target frequency modulation auxiliary benefit; C bess represents the life cycle cost of the electrochemical energy storage system; C q is the hydrogen energy storage cost.

[0018] A second aspect of the present application provides a capacity configuration device for an electric-hydrogen hybrid energy storage system, including: a calculation module for calculating the pre-preparation stage cost, project operation cost and final residual value of a target electric-hydrogen hybrid energy storage system; a modeling module for constructing a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the pre-preparation stage cost, the project operation cost and the final residual value, and determining the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; an allocation module for constructing an energy storage capacity configuration model based on the objective function, the power balance constraint and the operating state constraint, so as to allocate capacity to the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0019] Optionally, in one embodiment of the present application, the calculation module includes: a first determination unit, used to determine the unit capacity purchase price and the rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the battery purchase cost through the unit capacity purchase price and the rated capacity; a first acquisition unit, used to obtain the unit power purchase price of the PCS system in the target electric-hydrogen hybrid energy storage system and the rated power of the energy storage battery, so as to calculate the purchase cost of the PCS system using the unit power purchase price and the rated power; a second determination unit, used to determine the installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the previous cost based on the battery purchase cost, the PCS system purchase cost and the installation cost. a second acquisition unit, used to obtain the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost corresponding to the energy storage battery, so as to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; a calculation unit, used to calculate the battery replacement cost of the target electric-hydrogen hybrid energy storage system based on the unit capacity purchase price and the rated capacity of the energy storage battery, and calculate the cost of the project in operation according to the operation and maintenance cost and the battery replacement cost; a third determination unit, used to determine the residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the terminal residual value of the target electric-hydrogen hybrid energy storage system through the residual value rate.

[0020] Optionally, in one embodiment of the present application, the modeling module includes: a fourth determination unit, used to determine the amount of abandoned electricity and the unit power limit compensation coefficient of the target electric-hydrogen hybrid energy storage system, so as to calculate the power limit compensation benefit of the target electric-hydrogen hybrid energy storage system through the abandoned electricity and the unit power limit compensation coefficient; a first establishment unit, used to obtain the target frequency regulation auxiliary benefit of the target electric-hydrogen hybrid energy storage system, the preset electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost, and establish the objective function through the target frequency regulation auxiliary benefit, the electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost; a third acquisition unit, used to obtain the target frequency regulation auxiliary benefit, the electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost. The invention is used to obtain the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the charging power of the alkaline electrolyzer and the charging power of the fuel cell of the target electric-hydrogen hybrid energy storage system, and determine the power balance constraint according to the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the charging power of the alkaline electrolyzer and the charging power of the fuel cell; the second establishing unit is used to determine the state of charge of the energy storage battery corresponding to the target electric-hydrogen hybrid energy storage system and the maximum charge and discharge power of the converter operation, and establish the operating state constraint based on the state of charge of the energy storage battery and the maximum charge and discharge power of the converter operation.

[0021] Optionally, in one embodiment of the present application, the mathematical expression of the levelized cost model is:

[0022]

[0023] Where I0 represents the cost of the preliminary preparation stage; O&M n represents the cost of the target electric-hydrogen hybrid energy storage system in the project operation in the nth year; V represents the terminal residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage and discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

[0024] Optionally, in one embodiment of the present application, the mathematical expression of the objective function is:

[0025] f1=max(S x -C bess -C q )

[0026] Among them, S x represents the target frequency modulation auxiliary benefit; C bess represents the life cycle cost of the electrochemical energy storage system; C q is the hydrogen energy storage cost.

[0027] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the capacity configuration method of the electric-hydrogen hybrid energy storage system as described in the above embodiment.

[0028] The fourth aspect of the present application provides a computer-readable storage medium, which stores a computer program. When the program is executed by a processor, it implements the capacity configuration method of the above electric-hydrogen hybrid energy storage system.

[0029] The fifth aspect of the present application provides a computer program product, including a computer program, which is executed to implement the capacity configuration method of the above-mentioned electric-hydrogen hybrid energy storage system.

[0030] Therefore, the embodiments of the present application have the following beneficial effects:

[0031] The embodiments of the present application can calculate the cost of the preparatory stage, the cost of the project operation and the residual value at the end of the target electric-hydrogen hybrid energy storage system; construct the levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the cost of the preparatory stage, the cost of the project operation and the residual value at the end of the project, and determine the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; based on the objective function, power balance constraint and operating state constraint, construct an energy storage capacity configuration model to allocate the capacity of the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model, so that the electric-hydrogen hybrid energy storage can complement each other's advantages, improve the overall economy of the energy storage system, and flexibly adjust the capacity configuration plan of the electric-hydrogen hybrid energy storage, which is more universal and accurate in engineering practice. As a result, the problem of low degree of refinement of capacity allocation of the existing electric-hydrogen hybrid energy storage system, which makes the energy storage unable to meet the needs of the power grid, is solved.

[0032] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0034] Figure 1 A flow chart of a capacity configuration method for an electric-hydrogen hybrid energy storage system provided according to an embodiment of the present application;

[0035] Figure 2 A schematic diagram of a multi-functional scenario energy storage optimization configuration process provided for an embodiment of the present application;

[0036] Figure 3 A schematic diagram showing a comparison of benefits between an electric-hydrogen energy storage system and a single energy storage system provided for one embodiment of the present application;

[0037] Figure 4 This is an example diagram of a capacity configuration device for an electric-hydrogen hybrid energy storage system according to an embodiment of the present application;

[0038] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0039] Among them, 10 is a capacity configuration device of the electric-hydrogen hybrid energy storage system; 100 is a computing module, 200 is a modeling module, 300 is an allocation module; 501 is a memory, 502 is a processor, and 503 is a communication interface. DETAILED DESCRIPTION

[0040] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0041] The following describes the capacity configuration method and device of the electric-hydrogen hybrid energy storage system of the embodiment of the present application with reference to the accompanying drawings. In response to the problems mentioned in the above background technology, the present application provides a capacity configuration method for an electric-hydrogen hybrid energy storage system, in which the cost of the pre-preparation stage, the cost in the project operation and the residual value at the end of the target electric-hydrogen hybrid energy storage system are calculated; the levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system is constructed through the cost of the pre-preparation stage, the cost in the project operation and the residual value at the end of the target, and the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system are determined; based on the objective function, power balance constraint and operating state constraint, an energy storage capacity configuration model is constructed to allocate the capacity of the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model, so that the electric-hydrogen hybrid energy storage can complement each other's advantages, improve the overall economy of the energy storage system, and flexibly adjust the capacity configuration scheme of the electric-hydrogen hybrid energy storage, which is more universal and accurate in engineering practice. As a result, the problem that the existing electric-hydrogen hybrid energy storage system has a low degree of refinement in capacity allocation, which makes the energy storage unable to meet the needs of the power grid is solved.

[0042] Specifically, Figure 1 A flow chart of a capacity configuration method for an electric-hydrogen hybrid energy storage system provided in an embodiment of the present application.

[0043] like Figure 1 As shown, the capacity configuration method of the electric-hydrogen hybrid energy storage system includes the following steps:

[0044] In step S101, the preparatory stage cost, project operation cost and final residual value of the target electric-hydrogen hybrid energy storage system are calculated.

[0045] The embodiment of the present application can first divide the life cycle of the target electric-hydrogen hybrid energy storage system into three life cycle stages, and calculate the investment cost (i.e., the cost of the preliminary preparation stage), operation and maintenance cost (i.e., the cost during project operation) and project residual value (i.e., the final residual value) corresponding to the three life cycle stages, thereby providing a basis for the subsequent calculation of the levelized cost.

[0046] Optionally, in one embodiment of the present application, the cost of the preliminary preparation stage, the cost in the project operation and the residual value at the end of the target electric-hydrogen hybrid energy storage system are calculated, including: determining the purchase price per unit capacity and the rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the battery purchase cost through the purchase price per unit capacity and the rated capacity; obtaining the purchase price per unit power of the PCS system and the rated power of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the purchase cost of the PCS system using the purchase price per unit power and the rated power; determining the installation cost of the target electric-hydrogen hybrid energy storage system, and calculating the purchase cost of the PCS system based on the purchase cost of the battery, the purchase price per unit power and the rated power; The purchase cost and installation cost of the CS system are used to calculate the cost of the preliminary preparation stage; the annual unit power operation and maintenance cost and annual unit capacity operation and maintenance cost corresponding to the energy storage battery are obtained, and the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system is calculated using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; based on the unit capacity purchase price and rated capacity of the energy storage battery, the battery replacement cost of the target electric-hydrogen hybrid energy storage system is calculated, and the cost in project operation is calculated based on the operation and maintenance cost and the battery replacement cost; the residual value rate of the target electric-hydrogen hybrid energy storage system is determined, and the final residual value of the target electric-hydrogen hybrid energy storage system is calculated through the residual value rate.

[0047] Specifically, the second phase of the project operation has the most complex cost characteristics and the longest duration among the above three life cycle stages, in which the operating labor costs, operation and maintenance costs and plant electricity costs can be calculated on an annual basis and occur at one or several points in time.

[0048] The following is a detailed introduction to the corresponding cost calculations of the three life cycles:

[0049] (1) Preliminary preparation stage cost I0

[0050] The initial preparation stage mainly consists of the battery purchase cost, PCS system purchase cost and a small amount of installation cost. The calculation formula of I0 can be generally expressed as:

[0051] I0=C batt +C PCS +C other (1)

[0052] Among them, C batt Indicates the purchase cost of the battery; C PCS Indicates the purchase cost of the PCS system; C other Indicates small amounts of other costs.

[0053] Among them, the purchase cost of the battery is the capital investment spent on the purchase in the early preparation stage of the energy storage power station project. This investment mainly depends on the rated capacity of the energy storage battery and the purchase price per unit capacity of the battery. The specific calculation method is as follows:

[0054] C batt =π e E batt (2)

[0055] Among them, π e Indicates the purchase price of the battery per unit capacity, in yuan / kWh; E batt It is the rated capacity of the energy storage battery, in kWh.

[0056] The cost of the PCS system mainly comes from the energy storage inverter that provides energy conversion function, which depends on the rated power of the energy storage battery and the purchase price per unit power of the energy storage inverter, as shown in the following formula:

[0057] C PCS =π p P batt (3)

[0058] Among them, π p is the purchase price per unit power of the PCS system, in RMB / kW; and P batt It is the rated power of the energy storage battery, in kW.

[0059] In addition, there are a small amount of other equipment costs in the early preparation stage, including power distribution, thermal management box transformers, and construction, survey, development and other costs, which can be combined for statistical calculation. The calculation method can be to collect the specific costs of specific projects separately considering the actual situation or to estimate them based on other cost coefficients given by unit power or capacity.

[0060] (2) Cost O&M during project operation

[0061] The cost of project operation is mainly composed of operating labor cost, operation and maintenance cost, and replacement cost, with a small amount of other costs such as plant electricity cost. The calculation formula of O&M in each year can be expressed as follows under different circumstances:

[0062] O&M n =C om +C rep (4)

[0063] Among them, C om C is the annual operation and maintenance cost; rep is the replacement cost of the battery in the event of a battery replacement, which only occurs in the year the battery is replaced.

[0064] It should be noted that the operation and maintenance cost is the relevant cost that needs to be spent each year to ensure the smooth operation of the power station during the project cycle. This cost has a certain correlation with the battery capacity and battery power and needs to be considered comprehensively. The specific calculation method is as follows:

[0065] C om=π omp P batt +π ome +E batt (5)

[0066] Among them, π omp is the annual unit power operation and maintenance cost of the battery, in yuan / kW; π ome It is the annual unit capacity operation and maintenance cost of the battery, in yuan / kWh.

[0067] In addition, the battery replacement cost is similar to the purchase cost of the battery. This investment mainly depends on the rated capacity of the energy storage battery and the purchase price per unit capacity of the battery. The calculation method is as follows:

[0068] C rep =π e E batt (6)

[0069] It should be noted that the battery replacement cost only occurs in the year the battery is replaced, and discounts need to be taken into account when factoring it into the calculation.

[0070] (3) Final residual value V

[0071] At the end of the project operation period, the batteries and PCS systems invested in the early stage can be recycled and relevant benefits C can be obtained. re , the mathematical expression of the final residual value V is:

[0072] V=C re =(π e E batt +π p P batt )ζ (7)

[0073] Among them, ζ represents the residual value rate, which assumes that there is an overall residual value rate at the end of the project.

[0074] Therefore, the embodiments of the present application provide reliable data guidance and basis for the subsequent calculation of levelized costs by calculating the costs in the preliminary preparation stage, the costs during project operation and the residual value at the end.

[0075] In step S102, a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system is constructed through the cost of the preliminary preparation stage, the cost during project operation and the residual value at the end of the period, and the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system are determined.

[0076] In step S103, an energy storage capacity configuration model is constructed based on the objective function, power balance constraints and operating state constraints, so as to allocate capacity to the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0077] Furthermore, the embodiments of the present application also need to construct a levelized cost model through the costs of the preliminary preparation stage, the costs during project operation and the residual value at the end, and determine the corresponding objective function, power balance constraints and operating status constraints, etc., to construct an energy storage capacity configuration model, so as to allocate capacity for the target electric-hydrogen hybrid energy storage system.

[0078] Optionally, in one embodiment of the present application, the mathematical expression of the levelized cost model is:

[0079]

[0080] Among them, I0 represents the cost of the preliminary preparation stage; O&M n represents the cost of the target electric-hydrogen hybrid energy storage system in the project operation in the nth year; V represents the final residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

[0081] Those skilled in the art should understand that the core of the levelized cost, or LCOE, is to find a reasonable and balanced price while considering the time value of money. The key to the levelized cost model is that LCOE satisfies an equation constraint by adjusting the set electricity price. The cash inflow and outflow of LCOE are respectively in the numerator and denominator of the formula. The main cash inflow is the annual electricity revenue, which is reflected in the denominator in the form of electricity. The discount rate of LCOE is to reflect the time value of money, that is, the cost of using the money of the project. The level of the discount rate will affect the level of electricity prices that meet the corresponding standards.

[0082] It should be noted that the various costs of energy storage can be calculated through the above life cycle division. The project cost is in the early stage of project preparation, while the charging cost, operating labor cost, operation and maintenance cost, and plant power cost belong to the cost of project operation, and the disposal cost belongs to the cost of project operation (i.e., the residual value at the end). The investment cost, operation and maintenance cost, and project residual value in the levelized cost are the result of dividing these three life cycle stages.

[0083] Therefore, the embodiment of the present application constructs a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the cost of the preparatory stage, the cost of the project operation and the residual value at the end, and the levelized cost model takes into account the residual value of electrochemical energy storage and the time value of money. The mathematical expression of the existing levelized cost model of the whole life cycle of electrochemical energy storage is as follows:

[0084]

[0085] Among them, I0 represents the cost of the preliminary preparation stage, including construction costs and equipment-related purchase costs; O&M n represents the project operation cost of the target electric-hydrogen hybrid energy storage system in the nth year, including common personnel expenses and insurance expenses during the project period; V represents the final residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

[0086] Therefore, the embodiments of the present application effectively ensure the realization of capacity configuration of the multi-scenario collaborative operation strategy of the electric-hydrogen hybrid energy storage system by calculating the levelized cost.

[0087] Optionally, in one embodiment of the present application, the mathematical expression of the objective function is:

[0088] f1=max(S x -C bess -C q )

[0089] Among them, S x represents the target frequency modulation auxiliary gain; C bess represents the life cycle cost of the electrochemical energy storage system; C q The cost of hydrogen storage.

[0090] It should be noted that, based on the participation of energy storage in the consumption of new energy, the embodiment of the present application can establish a production simulation program flow chart for one year of wind farm data, and configure energy storage capacity with the goal of maximizing profits.

[0091] In the actual implementation process, the embodiment of the present application takes the maximum net benefit of energy storage participating in the new energy consumption service as the objective function, as shown in the following formula:

[0092] f1=max(S x -C bess -C q )(9)

[0093] Among them, S x The auxiliary income of energy storage system participating in frequency regulation; C bess is the life cycle cost of the electrochemical energy storage system; C q The cost of hydrogen energy storage.

[0094] It should be noted that the benefits of energy storage systems participating in the consumption of new energy mainly include two parts: one is the compensation for power restrictions, and the other is the income from selling electricity or converting energy that would have been discarded into hydrogen.

[0095] Among them, the mathematical expression of power restriction compensation income is as follows:

[0096] Sx =K b Q xian (10)

[0097] In the formula, K b is the compensation coefficient of unit power limit; Q xian The amount of wasted electricity reduced by energy storage.

[0098] Optionally, in one embodiment of the present application, determining the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system includes: determining the abandoned power and unit power limit compensation coefficient of the target electric-hydrogen hybrid energy storage system, so as to calculate the power limit compensation income of the target electric-hydrogen hybrid energy storage system through the abandoned power and unit power limit compensation coefficient; obtaining the target frequency regulation auxiliary income of the target electric-hydrogen hybrid energy storage system, the preset full life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost, and calculating the target frequency regulation auxiliary income, the full life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost through the target frequency regulation auxiliary income, the full life cycle cost of the electrochemical energy storage system and the hydrogen energy storage cost. This paper establishes an objective function; obtains the total charge and discharge power, charge and discharge unresponse power, charging power of each battery group, charging power of the alkaline electrolyzer and charging power of the fuel cell of the target electric-hydrogen hybrid energy storage system, and determines the power balance constraint according to the total charge and discharge power, charge and discharge unresponse power, charging power of each battery group, charging power of the alkaline electrolyzer and charging power of the fuel cell; determines the energy storage battery state of charge and the maximum charge and discharge power of the converter operation corresponding to the target electric-hydrogen hybrid energy storage system, and establishes the operation state constraint based on the energy storage battery state of charge and the maximum charge and discharge power of the converter operation.

[0099] After that, the embodiment of the present application also needs to construct the following constraints:

[0100] (1) Power balance constraints:

[0101] The energy distribution of dual battery-hydrogen hybrid energy storage consists of dual batteries and hydrogen energy storage, as shown in the following formula:

[0102]

[0103] Among them, P HESS,n is the total charging and discharging power of the hybrid energy storage; and are the charging powers of battery pack 1 and battery pack 2 respectively; and It is the unresponsive power for charging and discharging the hybrid energy storage; is the charging power of the alkaline electrolyzer; is the charging power of the fuel cell.

[0104] (2) Operation status constraints

[0105] During the operation of the energy storage device, its charging and discharging power is not infinite. It is limited by the power of the converter. The constraint formula is:

[0106]

[0107] Among them, P pcs P is the maximum charge and discharge power of the converter. When the charge and discharge power of the battery is greater than the maximum charge and discharge power allowed by the converter, the energy storage battery pcs Power charging and discharging.

[0108] In addition, the charging and discharging power of energy storage is not only limited by the rated power of the converter, but also by the charge state of the energy storage battery, as shown in the following formula:

[0109]

[0110] Therefore, the embodiment of the present application first analyzes the demand side and then allocates the capacity of the equipment according to the LCOE principle, thereby making the configuration more reasonable, improving the efficiency and performance of battery and hydrogen fuel cell new energy power generation, and achieving the best economic operation effect.

[0111] The capacity configuration method of the electric-hydrogen hybrid energy storage system of the present application is further described below through a specific embodiment and in combination with the accompanying drawings.

[0112] On the basis of the coordinated operation of the energy storage multifunctional scene, the specific embodiment of the present application adopts the time-series production simulation method to achieve the optimal configuration of the wind farm multifunctional energy storage system according to the operating characteristics of the energy storage system and takes the economic optimization as the goal, such as Figure 2 As shown, the specific steps are as follows:

[0113] Step 1: Taking a 200MW new energy station as an example, determine the relevant calculation parameters of the energy storage system:

[0114] Import the actual output data of new energy stations throughout the year, day-ahead forecast data, real-time frequency data and wind farm power restriction data; import the cost-economic parameters of the energy storage system throughout its life cycle and SOC capacity allocation;

[0115] Step 2: Parameter initialization:

[0116] Set the upper and lower limits of the energy storage battery, charge and discharge conversion efficiency, etc.; select the upper and lower limits of the hydrogen storage tank capacity configuration as 30MWh-50MWh, with a step size of 5MWh; the power configuration boundary of the alkaline electrolyzer is 6MW-18MW, with a step size of 3MW; the power configuration boundary of the fuel cell is 1MW-6MW, with a step size of 2MW; the power configuration boundary of the converter is 2MW-12MW, with a step size of 3MW; the energy storage configuration duration boundary is 0.5h-1.5h, and the step size is set to 0.5 hours;

[0117] Step 3: Set the rated power of the inverter and the rated capacity of the battery:

[0118] Set the simulation time T, set t = 1, and set E r is the initial energy storage rated capacity at that moment; the initial energy storage capacity of the energy storage battery group is set to 0.1E r and 0.9E r , the hydrogen storage tank capacity is 0.1Hr;

[0119] Step 4: Calculate the imbalance degree of the energy storage battery at time t, calculate the available charge and discharge capacity at the current time, and calculate the available charge and discharge power of the current energy storage according to equations (12) and (13); calculate the charge and discharge power P of the electric-hydrogen hybrid energy storage according to the multi-scenario coordinated operation strategy HESS ;

[0120] Step 5: Charge and discharge the hybrid energy storage power P according to the dual battery-hydrogen hybrid energy storage energy management strategy HESS The required charging and discharging power of electrochemical energy storage and hydrogen energy storage are obtained by allocation; the charging and discharging power of electrochemical energy storage and hydrogen energy storage are corrected according to the energy storage power constraint and capacity constraint; the charging and discharging power of the two battery groups are calculated according to the dual-battery energy storage power allocation strategy;

[0121] Step 6: Update the capacity of each battery group and hydrogen energy storage in the current cycle, and switch the charge and discharge status of the grouped batteries;

[0122] Step 7: Determine whether the above steps are completed. If completed, set t = t + 1; assume that the hydrogen storage tank is emptied every 12 hours; calculate the capacity loss of the energy storage battery and update the rated capacity E of the energy storage battery r ; Continue to step 4.

[0123] Step 8: Determine whether the simulation cycle has ended; if the simulation cycle has not been completed, continue with step 4 until it is completed; if the cycle is completed, calculate the full life cycle cost and all benefits under the current energy storage capacity; output the net energy storage benefit value under the current combination, and continue with step 2;

[0124] Step 9: Determine whether all solutions have been traversed. If not, continue with step 2. If completed, output the optimal energy storage configuration capacity corresponding to the maximum net benefit.

[0125] The specific embodiment of the present application solves the capacity configuration model by traversing and optimizing, and configures the capacity of single electrochemical energy storage and dual battery-hydrogen energy storage respectively; due to the high cost of fuel cells and the large loss of hydrogen-to-electricity, the optimal configuration of fuel cell power is extremely low, which is 1MW; the hydrogen storage tank capacity, electrolyzer power, electrochemical energy storage power and capacity can all find the optimal solution as the configuration step length progresses; the optimal capacity configuration result of the multi-functional scenario can be obtained by maximizing the net profit, and the system technical indicators under the optimal capacity configuration result are calculated respectively, as shown in Table 1:

[0126] Table 1

[0127]

[0128] As can be seen from Table 1, compared with single energy storage, the net income of electric-hydrogen hybrid energy storage has increased significantly. When the cost increased from 4.207 million yuan to 6.8102 million yuan, the net income increased from 6.8884 million yuan to 10.054 million yuan, an increase of 47.41%; among them, the income from new energy consumption increased significantly, from 3.1632 million yuan to 7.976 million yuan. The main reason is that new energy consumption is more dependent on energy storage capacity, and electrochemical energy storage, as a power-type energy storage, has a higher capacity cost than hydrogen energy storage. At the same time, the income from selling hydrogen is more profitable than the income from selling electricity. Part of the power in the power forecast compensation scenario is also converted into hydrogen to increase income. From a technical perspective, the power abandonment rate has dropped from 5.39% to 3.222%, with significant results; at the same time, since electric-hydrogen hybrid energy storage is not simply operated in layers and scenarios, hydrogen energy storage is also used in primary frequency regulation scenarios and power forecast compensation scenarios.

[0129] Therefore, the frequency regulation scenario and power prediction and compensation scenario in the specific embodiments of the present application have been improved in terms of economy and technology. The primary frequency regulation evaluation index has been improved from 0.0246 to 0.02414, and the day-ahead prediction accuracy has been increased from 99.91% to 99.99%. Due to the addition of hydrogen energy storage, the power demand of electrochemical energy storage has been reduced from 9MW to 5MW, further demonstrating the effectiveness of electric-hydrogen hybrid energy storage.

[0130] Figure 3 This is a schematic diagram comparing the benefits of the electric-hydrogen energy storage system and the single energy storage system. Figure 3 It can be seen that compared with the benefits of a single-function energy storage system, the comprehensive benefits of the electric-hydrogen energy storage system are significantly improved; under the same configuration, the benefits of a single scenario are not as high as the cost, that is, the net benefit is negative, and the benefits of a single scenario are not much improved compared to the benefits of each part of the electric-hydrogen scenario, which further reflects the superiority of the electric-hydrogen scenario effect.

[0131] In summary, this application has formulated an energy management strategy for electric-hydrogen hybrid energy storage by constructing an operation strategy for electric-hydrogen hybrid energy storage that takes into account the priorities of multiple scenarios, taking into account the operating characteristics of the electrolyzer and the imbalance of electrochemical energy storage, and taking the maximum net profit as the goal, a production simulation model was established based on the actual data of a wind farm throughout the year, and the corresponding results show that compared with a single scenario, the multi-scenario operation strategy can significantly improve the economy of the energy storage system; compared with a single energy storage method, electric-hydrogen hybrid energy storage can complement each other's advantages and improve the overall economy of the system. At the same time, based on the simulation method of historical data throughout the year, this application can comprehensively and accurately simulate the operation of the station and energy storage at each moment, and by substituting the actual historical data of different stations and adjusting the station demand parameters, the capacity configuration plan of the electric-hydrogen hybrid energy storage can be flexibly adjusted, which is more universal and accurate in engineering practice.

[0132] According to the capacity configuration method of the electric-hydrogen hybrid energy storage system proposed in the embodiment of the present application, firstly, a multifunctional scenario collaborative operation model of single energy storage and hybrid energy storage is established, and the economic and technical feasibility of energy storage applied to single scenario and multiple scenarios is compared and analyzed. On the basis of comprehensive consideration of the operating characteristics and constraints of electrochemical energy storage and hydrogen energy storage, a hybrid energy storage energy management strategy for the operating characteristics of the electrolyzer and the charge-charge imbalance of the electrochemical energy storage is formulated, and the energy storage capacity is configured with the goal of maximizing the net profit. The simulation is carried out through the actual one-year historical data of a wind farm, which strongly verifies that the multi-scenario collaborative operation method of the electric-hydrogen hybrid energy storage has significant improvements in both economy and technicality.

[0133] Secondly, the capacity configuration device of the electric-hydrogen hybrid energy storage system proposed in accordance with the embodiment of the present application is described with reference to the accompanying drawings.

[0134] Figure 4 It is a block diagram of a capacity configuration device of an electric-hydrogen hybrid energy storage system according to an embodiment of the present application.

[0135] like Figure 4 As shown, the capacity configuration device 10 of the electric-hydrogen hybrid energy storage system includes: a calculation module 100, a modeling module 200 and an allocation module 300.

[0136] The calculation module 100 is used to calculate the cost of the preliminary preparation stage, the cost during the project operation and the residual value at the end of the target electric-hydrogen hybrid energy storage system.

[0137] The modeling module 200 is used to construct a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the cost of the preliminary preparation stage, the cost during the project operation and the residual value at the end, and to determine the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system.

[0138] The allocation module 300 is used to construct an energy storage capacity configuration model based on the objective function, power balance constraints and operating state constraints, so as to allocate capacity to the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0139] Optionally, in one embodiment of the present application, the calculation module 100 includes: a first determination unit, a first acquisition unit, a second determination unit, a second acquisition unit, a calculation unit and a third determination unit.

[0140] Among them, the first determination unit is used to determine the unit capacity purchase price and rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the battery purchase cost through the unit capacity purchase price and the rated capacity.

[0141] The first acquisition unit is used to acquire the unit power purchase price of the PCS system and the rated power of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the purchase cost of the PCS system using the unit power purchase price and the rated power.

[0142] The second determination unit is used to determine the installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the cost of the preliminary preparation stage based on the battery purchase cost, PCS system purchase cost and installation cost.

[0143] The second acquisition unit is used to obtain the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost corresponding to the energy storage battery, so as to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost.

[0144] The operation unit is used to calculate the battery replacement cost of the target electric-hydrogen hybrid energy storage system based on the unit capacity purchase price and rated capacity of the energy storage battery, and calculate the project operation cost based on the operation and maintenance cost and the battery replacement cost.

[0145] The third determination unit is used to determine the residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the final residual value of the target electric-hydrogen hybrid energy storage system through the residual value rate.

[0146] Optionally, in one embodiment of the present application, the modeling module 200 includes: a fourth determining unit, a first establishing unit, a third acquiring unit and a second establishing unit.

[0147] Among them, the fourth determination unit is used to determine the amount of abandoned electricity and the compensation coefficient of unit power limit of the target electric-hydrogen hybrid energy storage system, so as to calculate the power limit compensation income of the target electric-hydrogen hybrid energy storage system through the amount of abandoned electricity and the compensation coefficient of unit power limit.

[0148] The first establishment unit is used to obtain the target frequency regulation auxiliary benefit of the target electric-hydrogen hybrid energy storage system, the preset electrochemical energy storage system life cycle cost and hydrogen energy storage cost, and establish an objective function through the target frequency regulation auxiliary benefit, the electrochemical energy storage system life cycle cost and hydrogen energy storage cost.

[0149] The third acquisition unit is used to obtain the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power of the target electric-hydrogen hybrid energy storage system, and determine the power balance constraint based on the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power.

[0150] The second establishing unit is used to determine the charge state of the energy storage battery and the maximum charge and discharge power of the converter corresponding to the target electric-hydrogen hybrid energy storage system, and establish the operating state constraints based on the charge state of the energy storage battery and the maximum charge and discharge power of the converter.

[0151] Optionally, in one embodiment of the present application, the mathematical expression of the levelized cost model is:

[0152]

[0153] Among them, I0 represents the cost of the preliminary preparation stage; O&M n represents the cost of the target electric-hydrogen hybrid energy storage system in the project operation in the nth year; V represents the final residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

[0154] Optionally, in one embodiment of the present application, the mathematical expression of the objective function is:

[0155] f1=max(S x -C bess -C q )

[0156] Among them, S x represents the target frequency modulation auxiliary gain; C bess represents the life cycle cost of the electrochemical energy storage system; C q The cost of hydrogen storage.

[0157] It should be noted that the aforementioned explanation of the embodiment of the capacity configuration method of the electric-hydrogen hybrid energy storage system is also applicable to the capacity configuration device of the electric-hydrogen hybrid energy storage system of this embodiment, and will not be repeated here.

[0158] The capacity configuration device of the electric-hydrogen hybrid energy storage system proposed in the embodiment of the present application includes a calculation module for calculating the pre-preparation stage cost, project operation cost and final residual value of the target electric-hydrogen hybrid energy storage system; a modeling module for constructing a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the pre-preparation stage cost, project operation cost and final residual value, and determining the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; an allocation module for constructing an energy storage capacity configuration model based on the objective function, power balance constraint and operating state constraint, so as to allocate the capacity of the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model, so that the electric-hydrogen hybrid energy storage can complement each other's advantages, improve the overall economy of the energy storage system, and flexibly adjust the capacity configuration scheme of the electric-hydrogen hybrid energy storage, which is more universal and accurate in engineering practice.

[0159] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0160] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0161] When the processor 502 executes the program, the capacity configuration method of the electric-hydrogen hybrid energy storage system provided in the above embodiment is implemented.

[0162] Furthermore, the electronic device further comprises:

[0163] The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0164] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0165] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0166] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0167] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0168] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0169] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned capacity configuration method of the electric-hydrogen hybrid energy storage system.

[0170] An embodiment of the present application also provides a computer program product, including a computer program, which, when executed, is used to implement the capacity configuration method of the above-mentioned electric-hydrogen hybrid energy storage system.

[0171] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0172] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0173] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0174] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways as necessary and then storing it in a computer memory.

[0175] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0176] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0177] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0178] The storage medium mentioned above may 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 can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A capacity configuration method for an electric-hydrogen hybrid energy storage system, characterized in that: The following steps are involved: Calculate the cost of the preparatory stage, the cost of the project operation and the residual value at the end of the project for the target electric-hydrogen hybrid energy storage system; Constructing a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the preparatory stage cost, the project operation cost and the final residual value, and determining the objective function, power balance constraint and operation state constraint corresponding to the target electric-hydrogen hybrid energy storage system; Based on the objective function, the power balance constraint and the operating state constraint, an energy storage capacity configuration model is constructed to allocate capacity of the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

2. The method according to claim 1, characterized in that: The calculation of the preparatory stage cost, project operation cost and final residual value of the target electric-hydrogen hybrid energy storage system includes: Determine the purchase price per unit capacity and the rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate the battery purchase cost by using the purchase price per unit capacity and the rated capacity; Obtaining a unit power purchase price of a PCS system in the target electric-hydrogen hybrid energy storage system and a rated power of the energy storage battery, so as to calculate a purchase cost of the PCS system using the unit power purchase price and the rated power; Determine the installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the preparatory stage cost based on the battery purchase cost, the PCS system purchase cost and the installation cost; Obtaining the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost corresponding to the energy storage battery, so as to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system by using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; Calculate the battery replacement cost of the target electric-hydrogen hybrid energy storage system based on the unit capacity purchase price and the rated capacity of the energy storage battery, and calculate the project operating cost based on the operation and maintenance cost and the battery replacement cost; The residual value rate of the target electric-hydrogen hybrid energy storage system is determined, and the terminal residual value of the target electric-hydrogen hybrid energy storage system is calculated using the residual value rate.

3. The method according to claim 2, characterized in that The determining of the objective function, power balance constraint and operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system includes: Determine the amount of abandoned electricity and the compensation coefficient of unit power limit of the target electric-hydrogen hybrid energy storage system, so as to calculate the power limit compensation income of the target electric-hydrogen hybrid energy storage system through the amount of abandoned electricity and the compensation coefficient of unit power limit; Obtaining a target frequency regulation auxiliary benefit of the target electric-hydrogen hybrid energy storage system, a preset full life cycle cost of the electrochemical energy storage system, and a hydrogen energy storage cost, and establishing the objective function through the target frequency regulation auxiliary benefit, the full life cycle cost of the electrochemical energy storage system, and the hydrogen energy storage cost; Obtaining the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power of the target electric-hydrogen hybrid energy storage system, and determining the power balance constraint according to the total charge and discharge power, the charge and discharge unresponse power, the charging power of each battery group, the alkaline electrolyzer charging power and the fuel cell charging power; Determine the state of charge of the energy storage battery and the maximum charge and discharge power of the converter corresponding to the target electric-hydrogen hybrid energy storage system, and establish the operating state constraint based on the state of charge of the energy storage battery and the maximum charge and discharge power of the converter.

4. The method according to claim 1, characterized in that: The mathematical expression of the levelized cost model is: Where I0 represents the cost of the preliminary preparation stage; O&M n represents the cost of the target electric-hydrogen hybrid energy storage system in the project operation in the nth year; V represents the terminal residual value; i represents the preset interest rate; N represents the energy storage service life of the target electric-hydrogen hybrid energy storage system; G n Represents the energy storage and discharge capacity of the target electric-hydrogen hybrid energy storage system in the nth year.

5. The method according to claim 3, characterized in that: The mathematical expression of the objective function is: f1=max(S x -C bess -C q ) Among them, S x represents the target frequency modulation auxiliary benefit; C bess represents the life cycle cost of the electrochemical energy storage system; C q is the hydrogen energy storage cost.

6. A capacity configuration device for an electric-hydrogen hybrid energy storage system, characterized in that: include: A calculation module is used to calculate the cost of the preliminary preparation stage, the cost during project operation and the residual value at the end of the target electric-hydrogen hybrid energy storage system; A modeling module, for constructing a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the preparatory stage cost, the project operation cost and the final residual value, and determining an objective function, a power balance constraint and an operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; An allocation module is used to construct an energy storage capacity configuration model based on the objective function, the power balance constraint and the operating state constraint, so as to allocate capacity to the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

7. The device according to claim 6, characterized in that The calculation module comprises: a first determining unit, configured to determine a unit capacity purchase price and a rated capacity of an energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate a battery purchase cost by using the unit capacity purchase price and the rated capacity; A first acquisition unit is used to acquire a unit power purchase price of a PCS system in the target electric-hydrogen hybrid energy storage system and a rated power of the energy storage battery, so as to calculate a purchase cost of the PCS system using the unit power purchase price and the rated power; A second determination unit is used to determine the installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the preparatory stage cost according to the battery purchase cost, the PCS system purchase cost and the installation cost; A second acquisition unit is used to obtain an annual unit power operation and maintenance cost and an annual unit capacity operation and maintenance cost corresponding to the energy storage battery, so as to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system by using the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; A calculation unit, configured to calculate the battery replacement cost of the target electric-hydrogen hybrid energy storage system based on the unit capacity purchase price and the rated capacity of the energy storage battery, and calculate the project operating cost according to the operation and maintenance cost and the battery replacement cost; The third determination unit is used to determine the residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the terminal residual value of the target electric-hydrogen hybrid energy storage system through the residual value rate.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the capacity configuration method of the electric-hydrogen hybrid energy storage system as described in any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the capacity configuration method of the electric-hydrogen hybrid energy storage system as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the capacity configuration method of the electric-hydrogen hybrid energy storage system as described in any one of claims 1-5.

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