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

Abstract

The application relates to a capacity configuration method and device of an electricity-hydrogen hybrid energy storage system, wherein the method comprises the following steps: calculating the early preparation stage cost, the project operation cost and the final residual value of a target electricity-hydrogen hybrid energy storage system; constructing a corresponding levelized cost model of the target electricity-hydrogen hybrid energy storage system through the early preparation stage cost, the project operation cost and the final residual value, and determining a corresponding target function, a power balance constraint and an operation state constraint of 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 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 the existing electricity-hydrogen hybrid energy storage system capacity allocation has a low fine degree and the energy storage cannot meet the power grid demand are solved.

Description

TECHNICAL FIELD

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

[0002] With large-scale grid connection of new energy, new power systems characterized by "double high" of high proportion of new energy and high proportion of power electronics are rapidly developing, and face 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 various energy storage methods, and research on different types of energy storage is very detailed. At the same time, with the development of technology, single energy storage cannot meet the technical needs 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 service life; compressed air energy storage technology has the characteristics of lower energy density, higher cycle efficiency and longer service life; water storage energy storage technology has the characteristics of lower energy density, higher cycle efficiency and longer service life, but is limited by site; super capacitor energy storage technology has the characteristics of higher power density, higher cycle efficiency and longer service life, but lower energy density.

[0004] Single energy storage technology has certain limitations in operating life, cost, energy, power density and dynamic response. Hybrid energy storage couples two or more energy storage technologies to achieve more comprehensive demand by combining the technical characteristics of different energy storage types. At present, hybrid energy storage mainly combines power and energy types, in which power type energy storage absorbs or supplies transient and peak power, and energy type energy storage meets long-term energy demand. This can not only meet the rapid charging and discharging demand, respond to small power grid fluctuations and provide fast active support for the power grid, but also meet the long-term large-scale energy imbalance demand. Conventional hybrid energy storage systems are widely studied. Compared with single energy storage structure, the technical and economic efficiency of the system is improved through the control strategy and energy distribution of different types of energy storage.

[0005] Hydrogen-containing hybrid energy storage structure has been widely studied in recent years, but the research mainly focuses on microgrids or large-scale integrated energy systems containing hot gas, and few studies consider the large-scale consumption scenario of new energy station demand side. At the same time, many studies focus on hydrogen-containing hybrid energy storage structure and operation strategy method, and there are few studies on the operation characteristics, capacity configuration and economy of energy storage.

[0006] In the existing electric-hydrogen hybrid energy storage system, the capacity allocation is not fine enough, so that the energy storage cannot meet the demand of the power grid. For example, in the synchronous operation of double batteries, the two battery groups are always in different states, and the energy storage can respond to the demand of the power grid at any time. However, when the energy storage battery needs to be charged or 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 makes the two battery groups jointly charge or discharge as necessary to meet the demand of the power grid. However, when both battery groups are in the state of discharging or charging, and the energy storage battery needs to be charged or discharged at this moment, both battery groups cannot act, and the energy storage cannot respond to the demand of the power grid.

[0007] In summary, the capacity allocation of the existing electric-hydrogen hybrid energy storage system is not fine enough, so that the energy storage cannot meet the demand of the power grid, which needs to be solved urgently. SUMMARY

[0008] The present application provides a capacity configuration method and device of 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 fine enough, so that the energy storage cannot meet the demand of the power grid.

[0009] The first aspect embodiment of the present application provides a capacity configuration method of an electric-hydrogen hybrid energy storage system, including the following steps: calculating the cost of the preparation stage, the cost in the operation of the project and the residual value at the end of the target electric-hydrogen hybrid energy storage system; constructing the corresponding levelized cost model of the target electric-hydrogen hybrid energy storage system by the preparation stage cost, the project operation cost and the residual value at the end, and determining the corresponding objective function, power balance constraint and operating state constraint of the target electric-hydrogen hybrid energy storage system; based on the objective function, the power balance constraint and the operating state constraint, constructing 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.

[0010] Optionally, in an embodiment of the present application, the calculation of the preparation stage cost, the operation cost and the end-of-life residual value of the target electric-hydrogen hybrid energy storage system comprises: determining 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; 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 PCS system purchase cost by using the unit power purchase price and the rated power; determining an installation cost of the target electric-hydrogen hybrid energy storage system, and calculating the preparation stage cost according to the battery purchase cost, the PCS system purchase cost and the installation cost; obtaining 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 an 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; calculating a 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 calculating the operation cost according to the operation and maintenance cost and the battery replacement cost; and determining a residual value rate of the target electric-hydrogen hybrid energy storage system, and calculating the end-of-life residual value of the target electric-hydrogen hybrid energy storage system by using the residual value rate.

[0011] Optionally, in an embodiment of the present application, the determination of the target function, the power balance constraint and the operation state constraint corresponding to the target electric-hydrogen hybrid energy storage system comprises: determining a curtailment amount and a unit curtailment compensation coefficient of the target electric-hydrogen hybrid energy storage system, so as to calculate a curtailment compensation income of the target electric-hydrogen hybrid energy storage system by using the curtailment amount and the unit curtailment compensation coefficient; obtaining a target frequency modulation auxiliary income, a preset electrochemical energy storage system life cycle cost and a hydrogen energy storage cost of the target electric-hydrogen hybrid energy storage system, and establishing the target function by using the target frequency modulation auxiliary income, the electrochemical energy storage system life cycle cost and the hydrogen energy storage cost; obtaining a total charge-discharge power, a charge-discharge non-response power, a charge power of each battery pack, an alkaline electrolytic tank charge power and a fuel cell charge power of the target electric-hydrogen hybrid energy storage system, and determining the power balance constraint according to the total charge-discharge power, the charge-discharge non-response power, the charge power of each battery pack, the alkaline electrolytic tank charge power and the fuel cell charge power; and determining a state of charge of an energy storage battery and a maximum charge-discharge power of a converter corresponding to the target electric-hydrogen hybrid energy storage system, and establishing the operation state constraint based on the state of charge of the energy storage battery and the maximum charge-discharge power of the converter.

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

[0013]

[0014] wherein I0represents the pre-construction cost; O&M n represents the cost of the target electrical-hydrogen hybrid energy storage system in the nth year of the project operation; V represents the end-of-life residual value; i represents a preset interest rate; N represents the service life of the target electrical-hydrogen hybrid energy storage system; G n represents the energy storage discharge amount of the target electrical-hydrogen hybrid energy storage system in the nth year.

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

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

[0017] wherein S x represents the target frequency modulation auxiliary income; C bess represents the full life cycle cost of the electrochemical energy storage system; C q represents the hydrogen energy storage cost.

[0018] The second aspect embodiment of the present application provides a capacity configuration device of an electrical-hydrogen hybrid energy storage system, comprising: a calculation module configured to calculate a pre-construction cost, a project operation cost and an end-of-life residual value of a target electrical-hydrogen hybrid energy storage system; a modeling module configured to construct a levelized cost model corresponding to the target electrical-hydrogen hybrid energy storage system by using the pre-construction cost, the project operation cost and the end-of-life residual value, and determine a target function, a power balance constraint and an operating state constraint corresponding to the target electrical-hydrogen hybrid energy storage system; and a distribution module configured to construct an energy storage capacity configuration model based on the target function, the power balance constraint and the operating state constraint, so as to perform capacity distribution on the target electrical-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0019] Optionally, in an embodiment of the present application, the calculation module comprises: a first determination unit configured to determine a unit capacity purchase price and a rated capacity of the 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 configured to acquire a unit power purchase price of a PCS system and a rated power of the energy storage battery in the target electric-hydrogen hybrid energy storage system, so as to calculate a PCS system purchase cost by using the unit power purchase price and the rated power; a second determination unit configured to determine an installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the preliminary preparation stage cost according to the battery purchase cost, the PCS system purchase cost and the installation cost; a second acquisition unit configured to acquire 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 an 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; an operation unit configured to calculate a 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 operation cost according to the operation and maintenance cost and the battery replacement cost; and a third determination unit configured to determine a residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the end-of-life residual value of the target electric-hydrogen hybrid energy storage system by using the residual value rate.

[0020] Optionally, in an embodiment of the present application, the modeling module comprises: a fourth determination unit configured to determine an amount of abandoned electricity and a unit power curtailment compensation coefficient of the target electric-hydrogen hybrid energy storage system, so as to calculate a power curtailment compensation income of the target electric-hydrogen hybrid energy storage system by using the amount of abandoned electricity and the unit power curtailment compensation coefficient; a first establishment unit configured to acquire a target frequency modulation auxiliary income, a preset electrochemical energy storage system life cycle cost and a hydrogen energy storage cost of the target electric-hydrogen hybrid energy storage system, and establish the target function by using the target frequency modulation auxiliary income, the electrochemical energy storage system life cycle cost and the hydrogen energy storage cost; a third acquisition unit configured to acquire a total charge-discharge power, a charge-discharge non-response power, a charge power of each battery pack, an alkaline electrolytic tank charge power and a fuel cell charge power of the target electric-hydrogen hybrid energy storage system, and determine the power balance constraint according to the total charge-discharge power, the charge-discharge non-response power, the charge power of each battery pack, the alkaline electrolytic tank charge power and the fuel cell charge power; and a second establishment unit configured to determine a state of charge of an energy storage battery and a maximum charge-discharge power of a converter corresponding to the target electric-hydrogen hybrid energy storage system, and establish the operation state constraint based on the state of charge of the energy storage battery and the maximum charge-discharge power of the converter.

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

[0022]

[0023] wherein I0 represents the cost of the preparatory 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 residual value at the end; i represents a preset interest rate; N represents the service life of the target electric-hydrogen hybrid energy storage system; G n represents the energy discharge amount of the target electric-hydrogen hybrid energy storage system in the nth year.

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

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

[0026] wherein S x represents the target frequency modulation auxiliary income; C bess represents the full 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 embodiments.

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

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

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

[0031] Embodiments of the present application can calculate the preparation stage cost, project operation cost and end-of-life residual value of the target electric-hydrogen hybrid energy storage system; construct a corresponding levelized cost model of the target electric-hydrogen hybrid energy storage system based on the preparation stage cost, project operation cost and end-of-life residual value, and determine the corresponding objective function, power balance constraint and operating state constraint of 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 can flexibly adjust the capacity configuration scheme of the electric-hydrogen hybrid energy storage, which is more universal and accurate in engineering practice. Thus, the problem of low fine degree of capacity allocation of the existing electric-hydrogen hybrid energy storage system is solved, and the energy storage cannot meet the demand of the power grid.

[0032] Additional aspects and advantages of the present application will be in part apparent and in part pointed out hereinafter. BRIEF DESCRIPTION OF DRAWINGS

[0033] The above and / or additional aspects and advantages of the present application will become apparent and be readily appreciated from the following description, including the appended drawings, wherein:

[0034] Figure 1 A flowchart of a capacity configuration method of an electric-hydrogen hybrid energy storage system according to an embodiment of the present application is provided.

[0035] Figure 2 A multifunctional scenario energy storage optimization configuration flowchart is provided for an embodiment of the present application.

[0036] Figure 3 A comparison diagram of electric-hydrogen energy storage system and single energy storage system benefits is provided for an embodiment of the present application.

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

[0038] Figure 5 A structural diagram of an electronic device is provided for an embodiment of the present application.

[0039] Among them, 10 is a capacity configuration device of an electric-hydrogen hybrid energy storage system; 100 is a calculation module, 200 is a modeling module, and 300 is a distribution 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 below in detail, examples of which are shown in the drawings, wherein the same or similar notations represent the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present application, and cannot be understood as a limitation of the present application.

[0041] The capacity configuration method and device of the electricity-hydrogen hybrid energy storage system of the embodiments of the present application are described below with reference to the accompanying drawings. In view of the problems mentioned in the background art, the present application provides a capacity configuration method of an electricity-hydrogen hybrid energy storage system, in which the preparation stage cost, the operation cost and the end-of-life residual value of the target electricity-hydrogen hybrid energy storage system are calculated; a corresponding levelized cost model of the target electricity-hydrogen hybrid energy storage system is constructed by the preparation stage cost, the operation cost and the end-of-life residual value, and the objective function, the power balance constraint and the operating state constraint corresponding to the target electricity-hydrogen hybrid energy storage system are determined; based on the objective function, the power balance constraint and the operating state constraint, a storage capacity configuration model is constructed to allocate the capacity of the target electricity-hydrogen hybrid energy storage system according to the storage capacity configuration model, so that the electricity-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 electricity-hydrogen hybrid energy storage, which is more universal and accurate in engineering practice. Thus, the problem that the existing electricity-hydrogen hybrid energy storage system capacity allocation is low in fine degree, so that the energy storage cannot meet the demand of the power grid, etc. is solved.

[0042] Specifically, Figure 1 A flowchart of the capacity configuration method of the electricity-hydrogen hybrid energy storage system provided by the embodiments of the present application is shown in FIG. 1.

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

[0044] In step S101, the preparation stage cost, the operation cost and the end-of-life residual value of the target electricity-hydrogen hybrid energy storage system are calculated.

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

[0046] Optionally, in one embodiment of the present application, the preparation stage cost, the operation cost and the residual value of the target electric-hydrogen hybrid energy storage system are calculated, including: determining the unit capacity purchase price and the rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system, to calculate the battery purchase cost by the unit capacity purchase price and the rated capacity; obtaining 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, to calculate the PCS system purchase cost by 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 preparation stage cost according to 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, to calculate the operation and maintenance cost of the target electric-hydrogen hybrid energy storage system by the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; calculating 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 calculating the operation cost in the project according to the operation and maintenance cost and the battery replacement cost; determining the residual value rate of the target electric-hydrogen hybrid energy storage system, and calculating the residual value of the target electric-hydrogen hybrid energy storage system by the residual value rate.

[0047] Specifically, the second stage of the project operation in the middle stage has the most complex cost characteristics and the longest time among the above three life cycle stages, in which the operation labor cost, the operation and maintenance cost and the auxiliary power cost can be calculated in a one-year record manner and occur at one or more time points.

[0048] The cost calculation of the three life cycle stages is described in detail as follows:

[0049] (1) Preparation stage cost I0

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

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

[0052] Among them, C batt represents the purchase cost of the battery; C PCS represents the purchase cost of the PCS system; and C other represents a small amount of other costs.

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

[0054] C batt = π e E batt (2)

[0055] wherein, π e represents the unit capacity purchase price of the battery, in yuan / kWh; E batt is the rated capacity of the energy storage battery, in kWh.

[0056] The cost of the PCS system is mainly derived from the energy storage converter providing energy conversion function, which depends on the rated power of the energy storage battery and the unit power purchase price of the energy storage converter, as shown in the following formula:

[0057] C PCS = π p P batt (3)

[0058] wherein, π p is the unit power purchase price of the PCS system, in yuan / kW; and P batt 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 transformer, and construction, survey, development, etc., which can be combined and calculated. The calculation method can be to collect specific project costs according to actual conditions or to estimate other cost coefficients according to unit power or capacity.

[0060] (2) Project operation cost O&M

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

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

[0063] wherein, C om is the annual operation and maintenance cost; C rep is the replacement cost of the battery in the case of replacing the battery, which only occurs in the year when the battery is replaced.

[0064] It should be noted that the operation and maintenance cost is to ensure the smooth operation of the power station during the project period, and the related cost needs to be spent every year. This cost has 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] wherein π omp is the annual unit power operation and maintenance cost of the battery, in yuan / kW; π ome 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, and the investment mainly depends on the rated capacity of the energy storage battery and the purchase price per unit capacity of the battery, and 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 when the battery is replaced, and the discount needs to be considered when the calculation is performed.

[0070] (3) the end-of-life residual value V

[0071] At the disposal settlement, i.e., at the end of the project operation period, the batteries and PCS systems invested in the early stage can be recycled, and related income C re is obtained, and the mathematical expression of the end-of-life residual value V is:

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

[0073] wherein ζ represents the residual value rate, and it is assumed that there is an overall residual value rate at the end of the project.

[0074] Therefore, the embodiment of the application calculates the early preparation stage cost, the project operation cost and the end-of-life residual value, thereby providing reliable data guidance and basis for subsequent calculation of the levelized cost.

[0075] In step S102, the early preparation stage cost, the project operation cost and the end-of-life residual value are used to construct a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system, and a target function, a power balance constraint and an operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system are determined.

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

[0077] Further, the embodiment of the present application also needs to construct a levelized cost model by the pre-preparation stage cost, the project operation cost and the end-of-life residual value, and determine the corresponding objective function, power balance constraint and operating state constraint, etc., to construct a storage capacity configuration model, so as to perform capacity allocation on the target electric-hydrogen hybrid energy storage system.

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

[0079]

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

[0081] The skilled in the art should understand that the core of the levelized cost, i.e. LCOE, is to obtain a reasonable balance price under the consideration of the time value of money, and the key of the levelized cost model is that LCOE meets an equation constraint requirement by adjusting the set electricity price, the cash outflow and the cash inflow of LCOE are in the numerator and the denominator of the equation, and the main consideration of the cash inflow is the electricity fee income of each year, which is reflected in the form of electricity quantity in the denominator. The discount rate of LCOE is to reflect the time value of money, i.e. the use cost of the currency of the project, and the high or low of the discount rate will affect the high or low of the electricity price meeting the corresponding standard.

[0082] It should be noted that the various costs of the storage can be calculated by the above life cycle division, the project cost is in the pre-preparation stage of the project, and the charging cost, the operation labor cost, the operation and maintenance cost and the auxiliary power cost belong to the project operation cost, and the disposal cost belongs to the end-of-life residual value of the project operation. The investment cost, the operation and maintenance cost and the project residual value in the levelized cost are the results of the division of the three life cycle stages.

[0083] Therefore, the embodiment of the present application constructs the corresponding levelized cost model of the target electric-hydrogen hybrid energy storage system by the pre-preparation stage cost, the project operation cost and the end-of-life residual value, and the levelized cost model considers the electrochemical storage residual value and the time value of money, and the mathematical expression of the existing electrochemical storage full life cycle levelized cost model is as follows:

[0084]

[0085] ​Wherein, I0 represents the preparation stage cost, including construction cost and equipment related purchase cost; O&M n represents the target electric-hydrogen hybrid energy storage system in the n-year project operation cost, including personnel cost, insurance cost and the like during the project period; V represents the end-of-life 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 target electric-hydrogen hybrid energy storage system in the n-year energy storage discharge capacity.

[0086] Therefore, the embodiment of the present application can effectively guarantee the implementation of the 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 an embodiment of the present application, the mathematical expression of the objective function is as follows:

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

[0089] Wherein, S x represents the target frequency modulation auxiliary income; C bess represents the life cycle cost of the electrochemical energy storage system; and C q represents the hydrogen energy storage cost.

[0090] It should be noted that on the basis of the energy storage participating in new energy consumption, the embodiment of the present application can establish a production simulation program flowchart of one-year data of a wind farm, and perform energy storage capacity configuration with the maximum income as the target.

[0091] In the actual execution process, the embodiment of the present application takes the maximum net income of the 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] Wherein, S x represents the frequency modulation auxiliary income of the energy storage system; C bess represents the life cycle cost of the electrochemical energy storage system; and C q represents the cost of hydrogen energy storage.

[0094] It should be noted that the income of the energy storage system participating in the new energy consumption mainly includes two parts, one part is the power cut compensation, and the other part is the income of selling the energy that should be abandoned or converting into hydrogen.

[0095] Wherein, the mathematical expression of the power cut compensation income is as follows:

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

[0097] wherein, K b is the compensation coefficient of the unit limited electricity amount; Q xian is the abandoned electricity amount reduced by energy storage.

[0098] Optionally, in an embodiment of the present application, the target function corresponding to the target electricity-hydrogen hybrid energy storage system, the power balance constraint and the operation state constraint are determined, comprising: determining the abandoned electricity amount of the target electricity-hydrogen hybrid energy storage system and the compensation coefficient of the unit limited electricity amount, so as to calculate the limited electricity compensation income of the target electricity-hydrogen hybrid energy storage system through the abandoned electricity amount and the compensation coefficient of the unit limited electricity amount; obtaining the target frequency modulation auxiliary income of the target electricity-hydrogen hybrid energy storage system, the preset electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost, and establishing the target function through the target frequency modulation auxiliary income, the electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost; obtaining the total charging and discharging power of the target electricity-hydrogen hybrid energy storage system, the charging and discharging non-response power, the charging power of each battery pack, the charging power of the alkaline electrolytic cell and the charging power of the fuel cell, and determining the power balance constraint according to the total charging and discharging power, the charging and discharging non-response power, the charging power of each battery pack, the charging power of the alkaline electrolytic cell and the charging power of the fuel cell; determining the energy storage battery state of charge and the maximum charging and discharging power of the converter operation corresponding to the target electricity-hydrogen hybrid energy storage system, and establishing the operation state constraint based on the energy storage battery state of charge and the maximum charging and discharging power of the converter operation.

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

[0100] (1) Power balance constraint:

[0101] The energy distribution of the double-battery-hydrogen hybrid energy storage is composed of double-battery and hydrogen energy storage, as shown in the following formula:

[0102]

[0103] wherein, P HESS,n is the total charging and discharging power of the hybrid energy storage; and are the charging power of battery pack 1 and battery pack 2, respectively; and are the charging and discharging non-response power of the hybrid energy storage; is the charging power of the alkaline electrolytic cell; is the charging power of the fuel cell.

[0104] (2) Operation state constraint

[0105] In the operation process of the energy storage device, its charging and discharging power is not infinite, which is limited by the power of the converter, and the constraint formula is:

[0106]

[0107] Wherein, P pcs is the maximum charging and discharging power of the converter, when the charging and discharging power of the battery is greater than the maximum charging and discharging power allowed by the converter, the energy storage battery charges and discharges at P pcs power.

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

[0109]

[0110] Therefore, according to the LCOE principle, the embodiments of the present application first analyze the demand side and then allocate the capacity of the equipment, so that the configuration is more reasonable, the efficiency and performance of the battery, hydrogen fuel cell and new energy power generation are improved, and the best economic operation effect is achieved.

[0111] The capacity configuration method of the electricity-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 cooperative operation of the energy storage multifunctional scene, the specific embodiments of the present application take the economic optimization as the target according to the operation characteristics of the energy storage system, and realize the optimal configuration of the multifunctional energy storage system of the wind power plant by using the time sequence production simulation method, as shown in the following formula: Figure 2 The specific steps are as follows:

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

[0114] The actual output data, day-ahead prediction data, real-time frequency data and wind power plant power limiting data of the new energy station in a year are imported, and the SOC capacity allocation and the life cycle cost economic parameters of the energy storage system are imported;

[0115] Step 2: Parameter initialization:

[0116] The upper and lower limits of the energy storage battery, the charging and discharging conversion efficiency, etc. are set; the upper and lower boundaries of the hydrogen storage tank capacity configuration are selected as 30MWh-50MWh, and the step is 5MWh; the power configuration boundary of the alkaline electrolytic tank is 6MW-18MW, and the step is 3MW; the power configuration boundary of the fuel cell is 1MW-6MW, and the step is 2MW; the power configuration boundary of the converter is 2MW-12MW, and the step is 3MW; the energy storage configuration time boundary is 0.5h-1.5h, and the step is set as 0.5 hour;

[0117] Step 3: Set the rated power of the converter, the rated capacity of the battery:

[0118] Set the simulation time T, set t = 1, and set E r The initial energy storage rated capacity at this time; Set the initial energy storage capacity of the energy storage battery pack as 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 current energy storage available charge and discharge power according to formula (12) and formula (13); According to the multi-scenario collaborative operation strategy, the charge and discharge power P HESS of the electric-hydrogen hybrid energy storage is calculated.

[0120] Step 5: According to the energy management strategy of double-battery-hydrogen hybrid energy storage, the charge and discharge power P HESS of the hybrid energy storage is allocated, and the required charge and discharge power of the electrochemical energy storage and hydrogen energy storage is obtained respectively; According to the energy storage power constraint and capacity constraint, the charge and discharge power of the electrochemical energy storage and hydrogen energy storage is corrected; According to the double-battery energy storage power distribution strategy, the charge and discharge power of the two battery packs is calculated respectively.

[0121] Step 6: Update the capacity of each battery pack and hydrogen energy storage in the current period, and switch the charge and discharge state of the grouped battery;

[0122] Step 7: Determine whether the above steps are completed, if completed, let t = t + 1; Assume that the hydrogen storage tank is emptied once every 12 hours; Calculate the energy storage battery capacity loss, update the energy storage battery rated capacity E r ; Continue to execute step 4.

[0123] Step 8: Determine whether the simulation cycle is completed; If the simulation cycle is not completed, continue step 4 until the completion; If the cycle is completed, calculate the life cycle cost under the current energy storage capacity and all benefits; Output the net benefit value of the current combination of energy storage, and continue step 2.

[0124] Step 9: Determine whether all schemes are completed, if not, continue to execute step 2; If completed, output the best configuration capacity of the energy storage corresponding to the maximum net benefit.

[0125] The specific embodiments of the application solve the capacity configuration model by traversing optimization, and respectively configure the capacity of single electrochemical energy storage and double battery-hydrogen energy storage. Since the cost of fuel cell is high, and the loss of hydrogen conversion is large, the optimal configuration of fuel cell power is very low, which is 1 MW. The hydrogen storage tank capacity, electrolytic tank power, electrochemical energy storage power and capacity can all find the optimal solution with the progress of the configuration step. The optimal capacity configuration result of the multifunctional scene can be obtained from the maximum net income, and the system technical indicators under the optimal capacity configuration result are calculated, 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 increases significantly. When the cost increases from 420.7 million yuan to 681.02 million yuan, the net income increases from 688.84 million yuan to 1005.4 million yuan, an increase of 47.41%; among them, the new energy consumption income increases significantly from 316.32 million yuan to 797.6 million yuan, the main reason is that new energy consumption depends more on energy storage capacity, and electrochemical energy storage is a power type energy storage, its capacity cost is higher than that of hydrogen energy storage, and the hydrogen selling income is better than the electricity selling income, the power prediction compensation scene part of the power is also converted into hydrogen to increase the income. From the technical point of view, the abandoned electricity rate decreases from 5.39% to 3.222%, which is remarkable; at the same time, since the electric-hydrogen hybrid energy storage is not simply layered and scene operation, the hydrogen energy storage is also applied to the primary frequency modulation scene and the power prediction compensation scene.

[0129] Therefore, the economic and technical levels of the frequency modulation scene and the power prediction compensation scene in the specific embodiments of the application are improved, the primary frequency modulation evaluation index increases from 0.0246 to 0.02414, and the day-ahead prediction accuracy increases from 99.91% to 99.99%; due to the addition of hydrogen energy storage, the power demand of electrochemical energy storage decreases from 9 MW to 5 MW, which further embodies the effectiveness of electric-hydrogen hybrid energy storage.

[0130] Figure 3 The figure shows the comparison of the income of the electric-hydrogen energy storage system and the single energy storage system. Figure 3 It can be seen that compared with the income of the single function energy storage system, the comprehensive income of the electric-hydrogen energy storage system is significantly improved; under the same configuration, the income of the single scene is not high in cost, i.e. the net income is negative, and the income of the single scene is not greatly improved compared with the income of each part in the electric-hydrogen scene, which further embodies the superiority of the effect of the electric-hydrogen scene.

[0131] In summary, the application constructs a multi-scenario priority-considered operation strategy of the electricity-hydrogen hybrid energy storage, considers the operation characteristics of the electrolyzer and the unbalance degree of the electrochemical energy storage, formulates an energy management strategy of the electricity-hydrogen hybrid energy storage, and establishes a production simulation model based on the actual annual data of a certain wind farm, 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 mode, the electricity-hydrogen hybrid energy storage can complement each other and improve the overall economy of the system. At the same time, based on the simulation method of the annual historical data, the application can comprehensively and accurately simulate the operation of the station and the energy storage at each time, and by substituting the actual historical data of different stations and adjusting the demand parameters of the stations, the capacity configuration scheme of the electricity-hydrogen hybrid energy storage can be flexibly adjusted, which has more universality and accuracy in engineering practice.

[0132] According to the capacity configuration method of the electricity-hydrogen hybrid energy storage system provided in the embodiments of the application, firstly, a multi-functional scenario coordinated operation model of single energy storage and hybrid energy storage is built, the economy and technology of the energy storage applied to single scenario and multi-scenario are compared and analyzed, on the basis of comprehensively considering the operation characteristics and constraints of the electrochemical energy storage and hydrogen energy storage, a hybrid energy storage energy management strategy of electrolyzer operation characteristics and electrochemical energy storage charge imbalance is formulated, the capacity of the energy storage is configured with the maximum net income as the target, and through the simulation of the actual one-year historical data of a certain wind farm, it is verified that the multi-scenario coordinated operation method of the electricity-hydrogen hybrid energy storage has significant improvement in economy and technology.

[0133] Secondly, the capacity configuration device of the electricity-hydrogen hybrid energy storage system according to the embodiments of the application is described with reference to the accompanying drawings.

[0134] Figure 4 is a block schematic diagram of the capacity configuration device of the electricity-hydrogen hybrid energy storage system in the embodiments of the application.

[0135] As shown in Figure 4 , the capacity configuration device 10 of the electricity-hydrogen hybrid energy storage system comprises a calculation module 100, a modeling module 200 and a distribution module 300.

[0136] The calculation module 100 is configured to calculate the pre-preparation stage cost, the project operation cost and the end-of-life residual value of the target electricity-hydrogen hybrid energy storage system.

[0137] The modeling module 200 is configured to construct a target function, a power balance constraint and an operation state constraint corresponding to the target electricity-hydrogen hybrid energy storage system by the pre-preparation stage cost, the project operation cost and the end-of-life residual value.

[0138] The distribution module 300 is configured to construct an energy storage capacity configuration model based on the target function, the power balance constraint, and the operation state constraint, and to perform capacity distribution on the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

[0139] Optionally, in an embodiment of the present application, the calculation module 100 comprises a first determination unit, a first acquisition unit, a second determination unit, a second acquisition unit, an operation unit, and a third determination unit.

[0140] The first determination unit is 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.

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

[0142] The second determination unit is configured to determine an installation cost of the target electric-hydrogen hybrid energy storage system, and to calculate a pre-preparation stage cost according to the battery purchase cost, the PCS system purchase cost, and the installation cost.

[0143] The second acquisition unit is configured to acquire 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 an 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.

[0144] The operation unit is configured to calculate a 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 to calculate a project operation cost according to the operation and maintenance cost and the battery replacement cost.

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

[0146] Optionally, in an embodiment of the present application, the modeling module 200 comprises a fourth determination unit, a first establishment unit, a third acquisition unit, and a second establishment unit.

[0147] The fourth determination unit is configured to determine an amount of abandoned electricity and a unit power curtailment compensation coefficient of the target electric-hydrogen hybrid energy storage system, so as to calculate a power curtailment compensation income of the target electric-hydrogen hybrid energy storage system by using the amount of abandoned electricity and the unit power curtailment compensation coefficient.

[0148] The first establishing unit is configured to obtain target frequency modulation auxiliary income of the target electric-hydrogen hybrid energy storage system, preset electrochemical energy storage system full life cycle cost and hydrogen energy storage cost, and establish a target function through the target frequency modulation auxiliary income, the electrochemical energy storage system full life cycle cost and the hydrogen energy storage cost.

[0149] The third obtaining unit is configured to obtain total charge-discharge power, charge-discharge unresponsive power, charge power of each battery pack, alkaline electrolytic cell charge power and fuel cell charge power of the target electric-hydrogen hybrid energy storage system, and determine power balance constraints according to the total charge-discharge power, the charge-discharge unresponsive power, the charge power of each battery pack, the alkaline electrolytic cell charge power and the fuel cell charge power.

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

[0151] Optionally, in an embodiment of the present application, a mathematical expression of the levelization cost model is as follows:

[0152]

[0153] wherein I0 represents a cost in a preliminary preparation stage; O&M n represents a cost of the target electric-hydrogen hybrid energy storage system in a project operation in the nth year; V represents a residual value at the end; i represents a preset interest rate; N represents a service life of energy storage of the target electric-hydrogen hybrid energy storage system; G n represents an energy storage discharge amount of the target electric-hydrogen hybrid energy storage system in the nth year.

[0154] Optionally, in an embodiment of the present application, a mathematical expression of the target function is as follows:

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

[0156] wherein S x represents the target frequency modulation auxiliary income; C bess represents the electrochemical energy storage system full life cycle cost; and C q is the hydrogen energy storage cost.

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

[0158] The capacity configuration device of the electricity-hydrogen hybrid energy storage system provided by the embodiment of the application comprises a calculation module configured to calculate a preparation stage cost, a project operation cost and an end-of-life residual value of a target electricity-hydrogen hybrid energy storage system; a modeling module configured to construct a corresponding levelized cost model of the target electricity-hydrogen hybrid energy storage system by using the preparation stage cost, the project operation cost and the end-of-life residual value, and determine a corresponding objective function, a power balance constraint and an operating state constraint of the target electricity-hydrogen hybrid energy storage system; and an allocation module configured to construct an energy storage capacity configuration model based on the objective function, the power balance constraint and the operating state constraint, and perform capacity allocation on the target electricity-hydrogen hybrid energy storage system according to the energy storage capacity configuration model, so that the electricity-hydrogen hybrid energy storage can complement each other, the overall economy of the energy storage system is improved, and the capacity configuration scheme of the electricity-hydrogen hybrid energy storage can be flexibly adjusted, which is more universal and accurate in engineering practice.

[0159] Figure 5 The structure schematic diagram of the electronic device provided by the embodiment of the application is provided. The electronic device can comprise:

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

[0161] The processor 502 implements the capacity configuration method of the electricity-hydrogen hybrid energy storage system provided in the above embodiment when executing the program.

[0162] Further, the electronic device further comprises:

[0163] The communication interface 503 is configured to communicate between the memory 501 and the processor 502.

[0164] The memory 501 is configured to store the computer program executable on the processor 502.

[0165] The memory 501 can comprise a high-speed RAM memory, and can also comprise a non-volatile memory, for example, 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 with each other through a bus and complete communication between 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, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 5 Only one thick line is used to represent the bus in the figure, but it 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 complete communication between each other through an internal interface.

[0168] The processor 502 can 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] The embodiments of the present application further provide a computer readable storage medium, which has stored a computer program, and the program is executed by a processor to implement the capacity configuration method of the electricity-hydrogen hybrid energy storage system.

[0170] The embodiments of the present application further provide a computer program product, which includes a computer program, and the computer program is executed to implement the capacity configuration method of the electricity-hydrogen hybrid energy storage system.

[0171] In the description of the application, reference to "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" means that a particular feature, structure, material, or characteristic being described is included in at least one embodiment or example of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment or example. Furthermore, the described specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples. In addition, the usage of "N" means at least two, for example, two, three or the like, unless explicitly stated otherwise.

[0172] Furthermore, the terms "first", "second", or the like, are used merely as a designation of certain elements or features, and do not imply or connote relative importance or a specific order of categorization of the indicated features. Accordingly, features described as "first" or "second" can be explicitly or implicitly included in at least one of the features. In the description of the application, the term "N" means at least two, for example, two, three, etc., unless explicitly stated otherwise.

[0173] Any process or method descriptions or blocks in flow charts or otherwise described herein represent embodiments which can be managed as one or more modules, segments, or portions of code which include one or more executable instructions for implementing specific logic functions or steps, and alternate implementations are possible. In some embodiments, the processes and methods described can be executed by one or more apparatuses or devices, either directly or after conversion to another language. Alternate implementations are possible.

[0174] The logic and / or steps represented in the flowcharts and / or described herein, for example, can be considered as a sequence of executable instructions stored in a computer readable medium, which can be executed by an instruction execution system, apparatus or device, such as a computer-based system, a processor-based system, or other system that can fetch the instructions from the instruction execution system, apparatus or device and execute the instructions, or a combination of them. For the purposes of this specification, a "computer readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus or device. The computer readable medium can be a computer readable storage medium or a computer readable signal medium. The computer readable storage medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a propagation medium. The computer readable signal medium can include, but is not limited to, a computer readable medium that facilitates transfer of the program from one place to another. A specific example of a computer readable medium is a non-transitory computer-readable storage medium. A specific example of a computer readable signal medium is a source or destination of the computer readable medium. Another specific example of a computer readable signal medium is a computer readable signal travelling through space. Thus, a computer readable medium can take many forms of hardware to carry out the program for use by or in connection with the instruction execution system, apparatus or device.

[0175] It should be understood that aspects of the application can be implemented in hardware, software, firmware or a combination thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware and in another embodiment, the hardware can be implemented using any or a combination of the following technologies, which are all well known in the art: a discrete logic circuit having logic gates for implementing logic functions upon data signals, an application specific integrated circuit having appropriate combinational logic gates, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0176] Those of skill in the art would understand that the steps carried out by the above-mentioned embodiments can be implemented by a program instructing the relevant hardware to complete all or part of the steps, and the program can be stored in a computer readable storage medium. When the program is executed, it includes one of the steps of the method embodiments or a combination thereof.

[0177] In addition, each of the functional units in the various embodiments of the present application can be integrated in one processing module, or each of the units can be physically present separately, or two or more units can be integrated in one module. The integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer readable storage medium.

[0178] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it should be understood that the above embodiments are exemplary and should not be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above embodiments within the scope of the present application.

Claims

1. A capacity configuration method of an electro-hydrogen hybrid energy storage system, characterized by, The method comprises the following steps: calculating the preparation stage cost, project operation cost and end-of-life residual value of the target electric-hydrogen hybrid energy storage system; building a levelized cost model corresponding to the target electric-hydrogen hybrid energy storage system through the preparation stage cost, the project operation cost and the end-of-life residual value, and determining a target function, a power balance constraint and an operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system; based on the target function, the power balance constraint and the operating state constraint, building an energy storage capacity configuration model to perform capacity allocation on the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model; wherein the determination of the target function, the power balance constraint and the operating state constraint corresponding to the target electric-hydrogen hybrid energy storage system comprises: determining the amount of abandoned electricity and the unit power shortage compensation coefficient of the target electric-hydrogen hybrid energy storage system to calculate the power shortage compensation income of the target electric-hydrogen hybrid energy storage system through the amount of abandoned electricity and the unit power shortage compensation coefficient; obtaining the target frequency modulation auxiliary income, the preset electrochemical energy storage system life cycle cost and the hydrogen energy storage cost of the target electric-hydrogen hybrid energy storage system, and establishing the target function through the target frequency modulation auxiliary income, the electrochemical energy storage system life cycle cost and the hydrogen energy storage cost; obtaining the total charging and discharging power, the charging and discharging non-response power, the charging power of each battery pack, the charging power of the alkaline electrolytic cell and the charging power of the fuel cell of the target electric-hydrogen hybrid energy storage system, and determining the power balance constraint according to the total charging and discharging power, the charging and discharging non-response power, the charging power of each battery pack, the charging power of the alkaline electrolytic cell and the charging power of the fuel cell; determining the energy storage battery state of charge and the maximum charging and discharging power of the converter operation corresponding to the target electric-hydrogen hybrid energy storage system, and establishing the operating state constraint based on the energy storage battery state of charge and the maximum charging and discharging power of the converter operation; the mathematical expression of the levelized cost model is: in, I 0 represents the cost of the preliminary preparation stage; O&M n This indicates that the target electric-hydrogen hybrid energy storage system is in the first... n The project's operating costs for the year; V This represents the final residual value; i Indicates the preset interest rate; N represents the energy storage life of the target electric-hydrogen hybrid energy storage system; G n This indicates that the target electric-hydrogen hybrid energy storage system is in the first... n Annual energy storage discharge volume; the mathematical expression of the target function is: wherein, S x represents the target frequency modulation auxiliary benefit; C bess represents the full life cycle cost of the electrochemical energy storage system; C q is the hydrogen storage energy cost.

2. The method of claim 1, wherein, the calculation of the preparation stage cost, the project operation cost and the end-of-life residual value of the target electric-hydrogen hybrid energy storage system comprises: determining the unit capacity purchase price and the rated capacity of the energy storage battery in the target electric-hydrogen hybrid energy storage system 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 and the rated power of the energy storage battery in the target electric-hydrogen hybrid energy storage system to calculate the PCS system purchase cost 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 preparation stage cost according to 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 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; calculate a 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 operation cost based on the operation and maintenance cost and the battery replacement cost; determine a residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the end-of-life residual value of the target electric-hydrogen hybrid energy storage system through the residual value rate.

3. A capacity configuration device of an electricity-hydrogen hybrid energy storage system for implementing the capacity configuration method of the electricity-hydrogen hybrid energy storage system according to any one of claims 1-2, characterized in that, Comprising: a calculation module configured to calculate a pre-preparation stage cost, a project operation cost and an end-of-life residual value of a target electric-hydrogen hybrid energy storage system; a modeling module configured to construct 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 end-of-life residual value, and determine a target function, a power balance constraint and an operation state constraint corresponding to the target electric-hydrogen hybrid energy storage system; an allocation module configured to construct an energy storage capacity configuration model based on the target function, the power balance constraint and the operation state constraint, and perform capacity allocation on the target electric-hydrogen hybrid energy storage system according to the energy storage capacity configuration model.

4. The apparatus of claim 3, wherein, The calculation module comprises: a first determination 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, and calculate a battery purchase cost through the unit capacity purchase price and the rated capacity; a first acquisition unit configured to acquire a unit power purchase price of a PCS system and a rated power of the energy storage battery in the target electric-hydrogen hybrid energy storage system, and calculate a PCS system purchase cost through the unit power purchase price and the rated power; a second determination unit configured to determine an installation cost of the target electric-hydrogen hybrid energy storage system, and calculate the pre-preparation stage cost based on the battery purchase cost, the PCS system purchase cost and the installation cost; a second acquisition unit configured to acquire an annual unit power operation and maintenance cost and an annual unit capacity operation and maintenance cost corresponding to the energy storage battery, and calculate an operation and maintenance cost of the target electric-hydrogen hybrid energy storage system through the annual unit power operation and maintenance cost and the annual unit capacity operation and maintenance cost; an operation unit configured to calculate a 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 operation cost based on the operation and maintenance cost and the battery replacement cost; a third determination unit configured to determine a residual value rate of the target electric-hydrogen hybrid energy storage system, and calculate the end-of-life residual value of the target electric-hydrogen hybrid energy storage system through the residual value rate.

5. An electronic device, comprising: Comprising: a memory, a processor and a computer program stored on 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 according to any one of claims 1-2.

6. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the capacity configuration method of the electric-hydrogen hybrid energy storage system according to any one of claims 1-2.

7. A computer program product comprising a computer program, characterized in that, The computer program is executed by a processor for implementing the capacity configuration method of the electricity-hydrogen hybrid energy storage system according to any one of claims 1-2.

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