A method and device for adjusting the price of a battery energy storage system

Abstract

The present invention provides a method and device for adjusting the price of a battery energy storage system. The method includes: determining corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system; inputting each alternative configuration scheme into an objective function to obtain the net present value corresponding to each alternative configuration scheme, and determining the optimal discharge depth as the discharge depth corresponding to the maximum net present value; under the optimal discharge depth operating condition, determining the relevant parameters of the battery energy storage system under different physical characteristics, and inputting the relevant parameters into the objective function and constraint conditions to determine the net present value corresponding to different physical characteristics; if the net present values corresponding to each physical characteristic are different, changing the price system and returning to the step of determining the corresponding alternative configuration schemes under different discharge depth operating conditions, otherwise determining the price system as the target price system. Through the present invention, the economic benefits of energy storage are improved, and the participation of multiple flexible energy storage resources in scheduling is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of battery energy storage, and particularly relates to a method and device for adjusting the price of a battery energy storage system. Background Art

[0002] There are many problems in the access of a high proportion of renewable energy to the power system. For example, there is an anti-peak shaving problem between its power output and load demand. A large-scale battery energy storage system (BESS) can store the excess electricity generated by wind and solar resources during low load periods and use the stored electricity to participate in peak shaving and frequency modulation during high load periods, which can well solve the problem of low dispatchability of renewable energy. Therefore, it has an important position in energy dispatch.

[0003] The configuration of the capacity and power of the BESS should not only have the ability of peak shaving and frequency modulation and the reliability of safe operation, but also meet its own economic benefits. However, the field of economic evaluation methods for BESS is relatively blank at present. In addition, the internal chemical materials and manufacturing methods of the batteries of different BESSs are different, resulting in differences in their performance such as energy density, response time, power density, energy efficiency, rate performance, cycle life, manufacturing cost, and support response time. Therefore, the economic benefits of BESSs with different physical characteristics participating in power system ancillary services are also different. At present, the economic evaluation methods for BESSs consider relatively single factors and cannot comprehensively consider various factors to adjust the price of BESSs. Summary of the Invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defect that various factors cannot be comprehensively considered to adjust the price of BESSs in the prior art, so as to provide a method and device for adjusting the price of a battery energy storage system.

[0005] The first aspect of the present invention provides a method for adjusting the price of a battery energy storage system, including: obtaining an objective function, which is established by the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the power grid. Among them, the costs of each user using the battery energy storage system and purchasing electricity from the power grid are determined according to the relevant parameters and price system of the battery energy storage system; according to the constraint conditions of the battery energy storage system, determine the corresponding alternative configuration plans under different discharge depth operating conditions; respectively input each alternative configuration plan into the objective function to obtain the net present value corresponding to the operation of the battery energy storage system with each alternative configuration plan, and determine the discharge depth corresponding to the alternative configuration plan with the maximum net present value as the optimal discharge depth; under the optimal discharge depth operating condition, determine the relevant parameters of the battery energy storage system under different physical characteristics, input the relevant parameters into the objective function and constraint conditions respectively, and determine the net present value corresponding to different physical characteristics according to the objective function and constraint conditions; if the net present values corresponding to each physical characteristic are different, change the price system, and return to the above step of determining the corresponding alternative configuration plans under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system until the net present values corresponding to each physical characteristic are the same, and determine the price system as the target price system.

[0006] Optionally, in the method for adjusting the price of the battery energy storage system provided by the present invention, the objective function aims to minimize the sum of the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the power grid.

[0007] Optionally, in the method for adjusting the price of the battery energy storage system provided by the present invention, the user includes the power supply side; the cost of the user using the battery energy storage system includes the daily cost of the power supply side renting the battery energy storage system; the price system of the battery energy storage system includes the unit price of the upward frequency modulation auxiliary service and the unit price of the downward frequency modulation auxiliary service for the battery energy storage system to participate in secondary frequency modulation; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system to participate in secondary frequency modulation; the daily cost of the power supply side renting the battery energy storage system is determined according to the charging power and discharging power of the battery energy storage system to participate in secondary frequency modulation, the initial unit price of the upward frequency modulation auxiliary service and the unit price of the downward frequency modulation auxiliary service for the battery energy storage system to participate in secondary frequency modulation, and the unit price adjustment coefficient for the battery energy storage system to participate in up and down frequency modulation. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

[0008] Optionally, in the method for adjusting the price of the battery energy storage system provided by the present invention, the daily cost of the power supply side renting the battery energy storage system is:

[0009]

[0010] Where P C,FR (t), P D,FR(t) respectively represent the charging power and discharging power of the battery energy storage system participating in secondary frequency regulation, respectively represent the unit price of the upward frequency regulation auxiliary service and the unit price of the downward frequency regulation auxiliary service of the battery energy storage system participating in secondary frequency regulation at time t, represents the unit price adjustment coefficient of the battery energy storage system participating in up and down frequency regulation, T represents the total number of time periods in a dispatching cycle, and Δt represents the time granularity.

[0011] Optionally, in the battery energy storage system price adjustment method provided by the present invention, the user includes industrial and commercial areas; the cost for the user to use the battery energy storage system includes the daily cost for the industrial and commercial areas to lease the battery energy storage system; the price system of the battery energy storage system includes the initial service unit price of the battery energy storage system participating in the industrial and commercial areas; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas; the daily cost for the industrial and commercial areas to lease the battery energy storage system is determined according to the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas, the initial service unit price of the battery energy storage system participating in the industrial and commercial areas, and the unit price adjustment coefficient of the battery energy storage system participating in up and down frequency regulation. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

[0012] Optionally, in the battery energy storage system price adjustment method provided by the present invention, the daily cost for the industrial and commercial areas to lease the battery energy storage system is:

[0013]

[0014] Wherein, P C,IP (t), P D,IP (t) respectively represent the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas, λ(t) represents the initial service unit price of the battery energy storage system participating in the industrial and commercial areas at time t, represents the adjustment coefficient of the service unit price of the battery energy storage system participating in the industrial and commercial areas, T represents the total number of time periods in a dispatching cycle, and Δt represents the time granularity.

[0015] Optionally, in the battery energy storage system price adjustment method provided by the present invention, the cost for each user to purchase electricity from the power grid includes the cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid; the relevant parameters of the battery energy storage system include the secondary frequency regulation of the power supply side and the power purchased by the industrial and commercial areas from the grid side; the cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid is determined according to the secondary frequency regulation of the power supply side and the power purchased by the industrial and commercial areas from the grid side.

[0016] Optionally, in the battery energy storage system price adjustment method provided by the present invention, the cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid is:

[0017]

[0018] Among them, P G,FR (t), P G,IP (t) respectively represent the secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial areas from the grid side. δ G (t) represents the electricity price, T represents the total number of time periods within a scheduling cycle, and Δt represents the time granularity.

[0019] Optionally, in the battery energy storage system price adjustment method provided by the present invention, the constraint conditions include one or more of power balance constraint, charge and discharge power and rated power constraint, state of charge constraint, state of energy constraint, and rated capacity constraint.

[0020] Optionally, in the battery energy storage system price adjustment method provided by the present invention, if there are non-linear problems in the constraint conditions, according to the constraint conditions of the battery energy storage system, determine the corresponding alternative configuration schemes under different discharge depth operating conditions, including: converting the non-linear problems existing in the constraint conditions into mixed integer linear programming problems through the big M method; determining the corresponding alternative configuration schemes under different discharge depth operating conditions according to the converted constraint conditions.

[0021] The second aspect of the present invention provides a battery energy storage system price adjustment device, including: a target function acquisition module for acquiring a target function, which is established by the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the grid, wherein the costs of each user using the battery energy storage system and purchasing electricity from the grid are determined according to the relevant parameters and price system of the battery energy storage system; an alternative configuration scheme determination module for determining the corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system; an optimal discharge depth calculation module for respectively inputting each alternative configuration scheme into the target function to obtain the net present value corresponding to the operation of the battery energy storage system with the alternative configuration scheme, and determining the discharge depth corresponding to the alternative configuration scheme with the maximum net present value as the optimal discharge depth; a net present value calculation module for determining the relevant parameters of the battery energy storage system under different physical characteristics under the optimal discharge depth operating condition, inputting the relevant parameters into the target function and constraint conditions respectively, and determining the net present value corresponding to different physical characteristics according to the target function and constraint conditions; a target price system determination module, if the net present values corresponding to each physical characteristic are different, the target price system determination module is used to change the price system, and return to the step of determining the corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system until the net present values corresponding to each physical characteristic are the same, and determine the price system as the target price system.

[0022] A third aspect of the present invention provides a computer device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to perform the battery energy storage system price adjustment method provided in the first aspect of the present invention.

[0023] A fourth aspect of the present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions for causing a computer to execute the battery energy storage system price adjustment method provided in the first aspect of the present invention.

[0024] The technical solution of the present invention has the following advantages:

[0025] The battery energy storage system price adjustment method and device provided by the present invention determine alternative configuration schemes corresponding to different discharge depth operating conditions according to the constraint conditions of the battery energy storage system. After determining the optimal discharge depth corresponding to the alternative configuration scheme that maximizes the net present value, a target price system is determined under the optimal discharge depth operating condition, which improves the economic benefits of energy storage. Moreover, in the present invention, relevant parameters of the battery energy storage system under different physical characteristics are determined, and the net present value corresponding to different physical characteristics is calculated according to the relevant parameters, objective function, and constraint conditions under different characteristics. When the net present values corresponding to each physical characteristic are the same, the current price system is determined as the target price system; otherwise, the price system is adjusted until the net present values corresponding to each physical characteristic are the same. Different physical characteristics indicate that the battery energy storage system is in different application scenarios. The present invention adjusts the price system to make the net present values corresponding to each physical characteristic the same, thereby realizing the participation of multiple energy storage flexibility resources in scheduling. Description of the Drawings

[0026] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0027] Figure 1 It is a flowchart of a specific example of the battery energy storage system price adjustment method in an embodiment of the present invention;

[0028] Figure 2 It is a schematic block diagram of a specific example of the battery energy storage system price adjustment device in an embodiment of the present invention;

[0029] Figure 3 It is a schematic block diagram of a specific example of the computer device in an embodiment of the present invention. Specific Embodiment

[0030] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] In the description of the present invention, it should be noted that the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0032] The embodiment of the present invention provides a method for adjusting the price of a battery energy storage system, as Figure 1 shown, including:

[0033] Step S11: Obtain an objective function, which is established from the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the power grid. Among them, the costs of each user using the battery energy storage system and purchasing electricity from the power grid are determined according to the relevant parameters and price system of the battery energy storage system.

[0034] In an optional embodiment, in combination with the wind-solar power output and the secondary frequency regulation requirements on the power supply side, an objective function is established with the goal of minimizing the electricity purchase cost from the power grid by industrial and commercial areas and the power supply side and the BESS rental energy storage auxiliary service cost.

[0035] Step S12: According to the constraint conditions of the battery energy storage system, determine the corresponding alternative configuration schemes under different discharge depth operating conditions.

[0036] In an optional embodiment, the alternative configuration scheme includes the configuration parameters of one or more battery energy storage systems. Exemplarily, the configuration parameters include capacity, power, etc.

[0037] Since the battery energy storage system needs to meet certain constraint conditions, it is not reasonable to set the configuration parameters of the battery energy storage system to any value. Moreover, under different discharge depth operating conditions, the capacities that meet the constraint conditions may not be the same. Therefore, in the embodiment of the present invention, the corresponding alternative configuration schemes under different discharge depth operating conditions are determined according to the constraint conditions, where one discharge depth operating condition corresponds to one or more different alternative configuration schemes.

[0038] Step S13: Input each alternative configuration scheme into the objective function respectively, obtain the net present value corresponding to each alternative configuration scheme when the battery energy storage system operates, and determine the discharge depth corresponding to the alternative configuration scheme with the maximum net present value as the optimal discharge depth.

[0039] In an alternative embodiment, alternative configuration options are input into the objective function. The costs for each user to use the battery energy storage system and the sum of the costs for each user to purchase electricity from the power grid are calculated through the objective function, that is, the revenue of the battery energy storage system is obtained through the objective function. Then, the net present value is determined based on the difference between the revenue of the battery energy storage system and the costs related to the battery energy storage system.

[0040] Step S14: Under the optimal depth of discharge operating condition, determine the relevant parameters of the battery energy storage system under different physical characteristics, and input the relevant parameters into the objective function and the constraint conditions respectively. Determine the net present value corresponding to different physical characteristics according to the objective function and the constraint conditions.

[0041] In the embodiments of the present invention, different physical characteristics indicate that the battery energy storage system is in the same application scenario. Determining the net present value corresponding to different physical characteristics is actually determining the net present value of the battery energy storage system in the same application scenario.

[0042] In an alternative embodiment, first input the relevant parameters of the battery energy storage system into the constraint conditions to determine the configuration options of the battery energy storage system. Then, input the configuration parameters in the configuration options and the relevant parameters of the battery energy storage system into the objective function to obtain the net present value corresponding to different physical characteristics. Among them, the configuration parameters in the configuration options include the power and capacity of the battery energy storage system, and the relevant parameters include conversion efficiency, maximum charge and discharge power, etc.

[0043] In an alternative embodiment, under the same physical characteristic, there may be multiple configuration options that meet the constraint conditions. At this time, input each configuration option and the relevant parameters into the objective function respectively to obtain the net present value corresponding to each configuration option, and determine the net present value corresponding to this physical characteristic as the maximum net present value.

[0044] After performing the above step S14, compare the net present values corresponding to each physical characteristic. If the net present values corresponding to each physical characteristic are different, after performing step S15, return to the above step S12; if the net present values corresponding to each physical characteristic are the same, perform step S16.

[0045] Step S15: Change the price system.

[0046] In an alternative embodiment, the price system includes the unit price for frequency regulation up and down and the unit price for the user's cost.

[0047] Step S16: Determine the price system as the target price system.

[0048] That is, in the embodiments of the present invention, the net present values of different physical characteristic BESSs should meet the following conditions:

[0049] In the formula: Net present values of BESS types 1, 2, …, L respectively; C SUM are the costs related to the battery energy storage system, including the initial construction cost, operation and maintenance cost, replacement cost, and recovery residual value; g inf is the inflation rate; i BESS is the internal rate of return of BESS; N Y is the total project life; d S is the total number of operating days in a year.

[0050] The battery energy storage system price adjustment method provided by the embodiments of the present invention determines alternative configuration schemes corresponding to different discharge depth operating conditions according to the constraint conditions of the battery energy storage system. After determining the optimal discharge depth corresponding to the alternative configuration scheme that maximizes the net present value, a target price system is determined under the optimal discharge depth operating condition, which improves the economic benefits of energy storage. Moreover, in the embodiments of the present invention, the relevant parameters of the battery energy storage system under different physical characteristics are determined, and the net present values corresponding to different physical characteristics are calculated according to the relevant parameters, objective function, and constraint conditions under different characteristics. When the net present values corresponding to each physical characteristic are the same, the current price system is determined as the target price system; otherwise, the price system is adjusted until the net present values corresponding to each physical characteristic are the same. Different physical characteristics indicate that the battery energy storage system is in different application scenarios. The embodiments of the present invention adjust the price system to make the net present values corresponding to each physical characteristic the same, thereby realizing the participation of multiple energy storage flexibility resources in scheduling.

[0051] In an alternative embodiment, the objective function is:

[0052] C ALL = min(C FR + C IP + C G )

[0053] where C FR is the daily cost of leasing BESS on the power supply side; C IP is the daily cost of leasing BESS in the industrial and commercial area; C G is the cost of purchasing electricity from the power grid by the power supply side and the industrial and commercial area.

[0054] In an alternative embodiment, the user includes the power supply side; the cost of the user using the battery energy storage system includes the daily cost of leasing the battery energy storage system on the power supply side; the price system of the battery energy storage system includes the unit price of the upward frequency regulation auxiliary service and the unit price of the downward frequency regulation auxiliary service for the battery energy storage system to participate in secondary frequency regulation; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system to participate in secondary frequency regulation.

[0055] In an optional embodiment, the daily cost of leasing the battery energy storage system on the power supply side is determined according to the charging power and discharging power of the battery energy storage system participating in secondary frequency modulation, the initial upward frequency modulation auxiliary service unit price and downward frequency modulation auxiliary service unit price of the battery energy storage system participating in secondary frequency modulation, and the unit price adjustment coefficient of the battery energy storage system participating in both upward and downward frequency modulation. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

[0056] In an optional embodiment, the daily cost of leasing the battery energy storage system on the power supply side is:

[0057]

[0058] Wherein, P C,FR (t), P D,FR (t) respectively represent the charging power and discharging power of the battery energy storage system participating in secondary frequency modulation, respectively represent the upward frequency modulation auxiliary service unit price and downward frequency modulation auxiliary service unit price of the battery energy storage system participating in secondary frequency modulation at time t, represents the unit price adjustment coefficient of the battery energy storage system participating in both upward and downward frequency modulation, T represents the total number of time periods in a scheduling cycle, and Δt represents the time granularity.

[0059] In an optional embodiment, the users include industrial and commercial areas; the cost for the users to use the battery energy storage system includes the daily cost of leasing the battery energy storage system in the industrial and commercial areas; the price system of the battery energy storage system includes the initial service unit price of the battery energy storage system participating in the industrial and commercial areas; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas.

[0060] The daily cost of leasing the battery energy storage system in the industrial and commercial areas is determined according to the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas, the initial service unit price of the battery energy storage system participating in the industrial and commercial areas, and the unit price adjustment coefficient of the battery energy storage system participating in both upward and downward frequency modulation. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

[0061] In an optional embodiment, the daily cost of leasing the battery energy storage system in the industrial and commercial areas is:

[0062]

[0063] Wherein, P C,IP (t), P D,IP (t) respectively represent the charging power and discharging power of the battery energy storage system participating in the industrial and commercial areas, λ(t) represents the initial service unit price of the battery energy storage system participating in the industrial and commercial areas at time t, represents the service unit price adjustment coefficient of the battery energy storage system participating in the industrial and commercial areas, T represents the total number of time periods in a scheduling cycle, and Δt represents the time granularity.

[0064] In an alternative embodiment, the cost for each user to purchase electricity from the power grid includes the cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid; the relevant parameters of the battery energy storage system include secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial areas from the power grid side.

[0065] The cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid is determined based on secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial areas from the power grid side.

[0066] In an alternative embodiment, the cost for the power supply side and the industrial and commercial areas to purchase electricity from the power grid is:

[0067]

[0068] where P G,FR (t), P G,IP (t) respectively represent secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial areas from the power grid side, δ G (t) represents the electricity price, T represents the total number of time periods within a dispatching cycle, and Δt represents the time granularity.

[0069] In an alternative embodiment, the cost allocation coefficient for each industrial and commercial area is:

[0070]

[0071] where I is the total number of industrial and commercial areas;

[0072] The cost for industrial and commercial area i can be expressed as:

[0073] C IP,i =Ω i ×C IP

[0074] In an alternative embodiment, the constraint conditions of the battery energy storage system include one or more of power balance constraint, charge and discharge power and rated power constraint, state of charge constraint, state of energy constraint, and rated capacity constraint.

[0075] In an alternative embodiment, the power balance constraint is:

[0076] P PV,i ( t )+P W,i (t)+P G,FR (t)+P G,IP (t)+P D,FR (t)-P C,FR (t)+P D,IP (t)-P C,IP (t)-P L,i (t)=0

[0077] where PW,i (t) and P PV,i (t) are the wind and light output powers of industrial and commercial area i respectively; P L,i (t) is the load demand of industrial and commercial area i.

[0078] In an alternative embodiment, the power-related constraints are as follows:

[0079]

[0080] Among them, P C (t) and P D (t) are the total charge and discharge powers of the BESS at time t; P max is the maximum charge and discharge output of the BESS; P rate is the rated power of the BESS; η C and η D are the conversion efficiencies of the BESS during charging and discharging respectively;

[0081] In an alternative embodiment, the state of charge and rated capacity configuration constraints are as follows:

[0082]

[0083] Among them, E(t) is the state of charge of the BESS at time t; E max and E min are the upper and lower bounds of the BESS system capacity; SOC min and SOC max are the minimum and maximum states of charge (SOC) of the BESS; SOC(0) and SOC(T + 1) are the SOCs of the BESS at the initial time and the initial time of the next scheduling period respectively.

[0084] In an alternative embodiment, if there are non-linear problems in the constraint conditions, according to the constraint conditions of the battery energy storage system, the corresponding alternative configuration schemes under different discharge depth operating conditions are determined, including:

[0085] First, the non-linear problems existing in the constraint conditions are converted into mixed-integer linear programming problems by the big M method.

[0086] Then, according to the converted constraint conditions, the corresponding alternative configuration schemes under different discharge depth operating conditions are determined.

[0087] The embodiment of the present invention provides a device for adjusting the price of a battery energy storage system, as Figure 2 shown, including:

[0088] A target function acquisition module 21 for acquiring a target function, which is established based on the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the grid. Among them, the costs of each user using the battery energy storage system and purchasing electricity from the grid are determined according to the relevant parameters of the battery energy storage system and the price system. For detailed content, refer to the description of step S11 in the above method embodiment, which will not be elaborated here.

[0089] An alternative configuration scheme determination module 22 for determining corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system. For detailed content, refer to the description of step S12 in the above method embodiment, which will not be elaborated here.

[0090] An optimal discharge depth calculation module 23 for respectively inputting each alternative configuration scheme into the target function to obtain the net present value corresponding to the operation of the battery energy storage system with the alternative configuration scheme, and determining the discharge depth corresponding to the alternative configuration scheme with the maximum net present value as the optimal discharge depth. For detailed content, refer to the description of step S13 in the above method embodiment, which will not be elaborated here.

[0091] A net present value calculation module 24 for determining the relevant parameters of the battery energy storage system under different physical characteristics under the optimal discharge depth operating condition, inputting the relevant parameters into the target function and the constraint conditions respectively, and determining the net present value corresponding to different physical characteristics according to the target function and the constraint conditions. For detailed content, refer to the description of step S14 in the above method embodiment, which will not be elaborated here.

[0092] A target price system determination module 25. If the net present values corresponding to each physical characteristic are different, the target price system determination module is used to change the price system and return to the above step of determining the corresponding alternative configuration scheme under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system until the net present values corresponding to each physical characteristic are the same, and determine the price system as the target price system. For detailed content, refer to the descriptions of step S15 and step S16 in the above method embodiment, which will not be elaborated here.

[0093] An embodiment of the present invention provides a computer device, as Figure 3 shown. This computer device mainly includes one or more processors 31 and a memory 32. Figure 3 Here, one processor 31 is taken as an example.

[0094] This computer device may further include: an input device 33 and an output device 34.

[0095] The processor 31, the memory 32, the input device 33, and the output device 34 may be connected through a bus or other means. Figure 3 Here, connection through a bus is taken as an example.

[0096] The processor 31 may be a Central Processing Unit (CPU). The processor 31 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., or a combination of the above types of chips. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The memory 32 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the battery energy storage system price adjustment device, etc. In addition, the memory 32 may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 32 may optionally include a memory remotely disposed relative to the processor 31, and these remote memories may be connected to the battery energy storage system price adjustment device through a network. The input device 33 may receive a calculation request (or other digital or character information) input by a user, and generate a key signal input related to the battery energy storage system price adjustment device. The output device 34 may include a display device such as a display screen for outputting calculation results.

[0097] An embodiment of the present invention provides a computer-readable storage medium that stores computer instructions. The computer storage medium stores computer-executable instructions that can execute the battery energy storage system price adjustment method in any of the above method embodiments. Among them, the storage medium may be a magnetic disk, optical disk, Read-Only Memory (ROM), Random Access Memory (RAM), Flash Memory, Hard Disk Drive (abbreviation: HDD), or Solid-State Drive (SSD), etc.; the storage medium may also include a combination of the above types of memories.

[0098] Obviously, the above embodiments are merely examples given for clear illustration and not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all implementation manners here. And the obvious changes or modifications derived therefrom still fall within the protection scope of the present invention.

Claims

1. A method for adjusting the price of a battery energy storage system, characterized in that, Including: Obtain an objective function, which is established based on the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the power grid. Among them, the costs of each user using the battery energy storage system and purchasing electricity from the power grid are determined according to the relevant parameters of the battery energy storage system and the price system; According to the constraint conditions of the battery energy storage system, determine the corresponding alternative configuration schemes under different depth-of-discharge operating conditions; the constraint conditions include one or more of power balance constraint, charge-discharge power and rated power constraint, state of charge constraint, state of energy constraint, and rated capacity constraint; Respectively input each alternative configuration scheme into the objective function to obtain the corresponding net present value when the battery energy storage system operates with each alternative configuration scheme, and determine the depth of discharge corresponding to the alternative configuration scheme with the maximum net present value as the optimal depth of discharge; Under the optimal depth-of-discharge operating condition, determine the relevant parameters of the battery energy storage system under different physical characteristics, input the relevant parameters into the objective function and the constraint conditions respectively, and determine the net present value corresponding to different physical characteristics according to the objective function and the constraint conditions; If the net present values corresponding to each physical characteristic are different, change the price system, and return to the step of determining the corresponding alternative configuration schemes under different depth-of-discharge operating conditions according to the constraint conditions of the battery energy storage system until the net present values corresponding to each physical characteristic are the same, and determine the price system as the target price system; The power balance constraint is: Among them, and are the wind and light output powers of the industrial and commercial area respectively; is the load demand of the industrial and commercial area respectively; and represent the charging power and discharging power of the battery energy storage system participating in secondary frequency regulation respectively; and represent the charging power and discharging power of the battery energy storage system participating in the industrial and commercial area respectively; and represent the secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial area from the grid side respectively; The power-related constraint is: Among them, and are the total charge and discharge power of the battery energy storage system at moment; is the maximum charge and discharge output of the battery energy storage system; is the rated power of the battery energy storage system; and are the conversion efficiencies of the battery energy storage system during charging and discharging respectively, represents the number of industrial and commercial areas; The state-of-charge and rated-capacity configuration constraint is: Among them, is the state of charge of the battery energy storage system at time; , are the upper and lower bounds of the battery energy storage system capacity; , are the minimum and maximum state of charge of the battery energy storage system; , are the state of charge of the battery energy storage system at the initial time and the initial time of the next scheduling period respectively, DOD is the depth of discharge of the battery energy storage system, is the rated capacity of the battery energy storage system.

2. The method for adjusting the price of a battery energy storage system according to claim 1, characterized in that, The objective function aims to minimize the sum of the costs of each user using the battery energy storage system and the costs of each user purchasing electricity from the power grid.

3. The method for adjusting the price of a battery energy storage system according to claim 1 or 2, characterized in that, The users include the power supply side; the cost of the user using the battery energy storage system includes the daily cost of the power supply side renting the battery energy storage system; the price system of the battery energy storage system includes the unit price of the upward frequency regulation auxiliary service and the unit price of the downward frequency regulation auxiliary service for the battery energy storage system to participate in secondary frequency regulation; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system to participate in secondary frequency regulation; The daily cost of the power supply side renting the battery energy storage system is determined according to the charging power and discharging power of the battery energy storage system to participate in secondary frequency regulation, the initial unit price of the upward frequency regulation auxiliary service and the unit price of the downward frequency regulation auxiliary service for the battery energy storage system to participate in secondary frequency regulation, and the unit price adjustment coefficient for the battery energy storage system to participate in up and down frequency regulation. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

4. The method for adjusting the price of a battery energy storage system according to claim 3, characterized in that, The daily cost of the power supply side renting the battery energy storage system is: Among them, and respectively represent the charging power and discharging power of the battery energy storage system participating in secondary frequency regulation. and respectively represent the unit price of upward frequency regulation auxiliary service and downward frequency regulation auxiliary service of the battery energy storage system participating in secondary frequency regulation at time t. represents the unit price adjustment coefficient of the battery energy storage system participating in both upward and downward frequency regulation. T represents the total number of time periods within a scheduling cycle. represents the time granularity.

5. The method for adjusting the price of a battery energy storage system according to claim 1 or 2, characterized in that, The users include industrial and commercial areas; the cost of the user using the battery energy storage system includes the daily cost of the industrial and commercial area renting the battery energy storage system; the price system of the battery energy storage system includes the initial service unit price for the battery energy storage system to participate in the industrial and commercial area; the relevant parameters of the battery energy storage system include the charging power and discharging power of the battery energy storage system to participate in the industrial and commercial area; The daily cost of leasing a battery energy storage system in the industrial and commercial area is determined according to the charging power and discharging power of the battery energy storage system participating in the industrial and commercial area, the initial service unit price of the battery energy storage system participating in the industrial and commercial area, and the unit price adjustment coefficient of the battery energy storage system participating in the frequency regulation up and down. Different physical characteristics of the battery energy storage system correspond to different unit price adjustment coefficients.

6. The method for adjusting the price of a battery energy storage system according to claim 5, characterized in that, The daily cost of leasing a battery energy storage system in the industrial and commercial area is: Among them, and respectively represent the charging power and discharging power of the battery energy storage system participating in the industrial and commercial area, represents the initial service unit price of the battery energy storage system participating in the industrial and commercial area at time t, represents the adjustment coefficient of the service unit price of the battery energy storage system participating in the industrial and commercial area, T represents the total number of time periods within a scheduling cycle, represents the time granularity.

7. The method for adjusting the price of a battery energy storage system according to claim 1 or 2, characterized in that, The cost of each user purchasing electricity from the power grid includes the cost of the power supply side and the industrial and commercial area purchasing electricity from the power grid; the relevant parameters of the battery energy storage system include the secondary frequency regulation of the power supply side and the power purchased by the industrial and commercial area from the power grid side; The cost of the power supply side and the industrial and commercial area purchasing electricity from the power grid is determined according to the secondary frequency regulation of the power supply side and the power purchased by the industrial and commercial area from the power grid side.

8. The method for adjusting the price of a battery energy storage system according to claim 7, wherein The cost of the power supply side and the industrial and commercial area purchasing electricity from the power grid is: Among them, , respectively represent the secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial areas from the grid side, represents the electricity price; T represents the total number of time periods within a dispatching cycle, represents the time granularity.

9. The method for adjusting the price of a battery energy storage system according to claim 1, wherein If there are non-linear problems in the constraint conditions, according to the constraint conditions of the battery energy storage system, determine the corresponding alternative configuration schemes under different discharge depth operating conditions, including: Convert the non-linear problems existing in the constraint conditions into mixed-integer linear programming problems through the big M method; According to the converted constraint conditions, determine the corresponding alternative configuration schemes under different discharge depth operating conditions.

10. A device for adjusting the price of a battery energy storage system, wherein Including: A target function acquisition module, which is used to acquire a target function established by the cost of each user using the battery energy storage system and the cost of each user purchasing electricity from the power grid. Among them, the cost of each user using the battery energy storage system and the cost of purchasing electricity from the power grid are determined according to the relevant parameters of the battery energy storage system and the price system; An alternative configuration scheme determination module, which is used to determine the corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system; the constraint conditions include one or more of power balance constraints, charge and discharge power and rated power constraints, state of charge constraints, state of energy constraints, and rated capacity constraints; An optimal discharge depth calculation module, which is used to input each alternative configuration scheme into the target function respectively, obtain the net present value corresponding to the operation of the battery energy storage system with the alternative configuration scheme, and determine the discharge depth corresponding to the alternative configuration scheme with the maximum net present value as the optimal discharge depth; A net present value calculation module, which is used to determine the relevant parameters of the battery energy storage system under different physical characteristics under the optimal discharge depth operating conditions, input the relevant parameters into the target function and the constraint conditions respectively, and determine the net present value corresponding to different physical characteristics according to the target function and the constraint conditions; A target price system determination module. If the net present values corresponding to each physical characteristic are different, the target price system determination module is used to change the price system, and return to the above step of determining the corresponding alternative configuration schemes under different discharge depth operating conditions according to the constraint conditions of the battery energy storage system until the net present values corresponding to each physical characteristic are the same, and determine the price system as the target price system; The power balance constraint is: Among them, and are the wind and light output powers of the industrial and commercial area respectively; is the load demand of the industrial and commercial area respectively; and represent the charging power and discharging power of the battery energy storage system participating in secondary frequency regulation respectively; and represent the charging power and discharging power of the battery energy storage system participating in the industrial and commercial area respectively; and represent the secondary frequency regulation on the power supply side and the power purchased by the industrial and commercial area from the grid side respectively; The power-related constraint is: Among them, and are the total charge-discharge power of the battery energy storage system at moment; is the maximum charge-discharge output of the battery energy storage system; is the rated power of the battery energy storage system; and are the conversion efficiencies of the battery energy storage system during charging and discharging respectively, represents the number of industrial and commercial areas; The state of charge and rated capacity configuration constraint is: Among them, is the state of charge of the battery energy storage system at moment; , are the upper and lower bounds of the battery energy storage system capacity; , are the minimum and maximum state of charge of the battery energy storage system; , are the state of charge at the initial moment and the initial moment of the next scheduling period of the battery energy storage system respectively, DOD is the depth of discharge of the battery energy storage system, is the rated capacity of the battery energy storage system.

11. A computer device, wherein Including: At least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to perform the battery energy storage system price adjustment method according to any one of claims 1-9.

12. A computer-readable storage medium, wherein The computer-readable storage medium stores computer instructions for causing the computer to perform the battery energy storage system price adjustment method according to any one of claims 1-9.

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