User side shared energy storage configuration method, device and system and medium

Abstract

The invention discloses a user-side shared energy storage configuration method, device and system and a medium, and the method comprises the steps: building a shared energy storage life expectancy model based on a rain flow counting method, building a user-side shared energy storage configuration target function considering the shared energy storage cost and the user power consumption cost, and building a shared energy storage configuration and operation integrated constraint condition; coupling the energy storage configuration model and the energy storage life expectancy model, and proposing an iteration-based user-side shared energy storage configuration scheme considering operation life loss; and based on a bisection method, using software to solve a user side shared energy storage optimal configuration result. According to the method, a user-oriented shared energy storage configuration scheme is solved, the influence of life loss on the optimal configuration scheme is considered, the method has the advantage that the energy storage service life duration can be optimized according to the charging and discharging strategy, the economical efficiency of a user-side system can be improved by using shared energy storage under the more accurate energy storage service life, and the user experience is improved. System peak power is effectively reduced, and safe and stable operation of a power grid is facilitated.

Description

Technical Field

[0001] The present invention relates to a user-side shared energy storage configuration method, device, system and medium, and belongs to the technical field of user-side energy storage planning. Background Art

[0002] The application and proportion of new energy in the power grid are constantly expanding, and its randomness and intermittent characteristics are becoming increasingly obvious; at the same time, flexible resources on the load side are also constantly developing, and the imbalance between supply and demand is significant. In this regard, the first solution is energy storage. Energy storage technology is the most reasonable and optimal solution to the problem of time and space mismatch between new energy power generation and load power consumption. However, the high cost and low utilization rate of energy storage have always been important factors restricting its development. Shared energy storage has become an effective means to improve the economy of energy storage projects by sharing costs and risks among multiple users and utilizing the complementary characteristics of different loads. However, in the problem of energy storage configuration, its capacity loss is an issue that cannot be ignored, and its characteristics will restrict the service life of energy storage. However, in the current user-side shared energy storage configuration problem, the coupling relationship between the expected life of energy storage and the charging and discharging strategy, as well as its impact on the configuration results, will lead to deviations from the actual configuration results. Summary of the invention

[0003] The purpose of the present invention is to provide a user-side shared energy storage configuration method, device, system and medium. By quantifying the energy storage loss under different charging and discharging strategies, a user-side shared energy storage configuration model with the coupling of expected life and charging and discharging strategy is established based on an iterative method, which effectively realizes the matching of user-side energy storage charging and discharging strategy and energy storage life, thereby improving the economy of the user-side system.

[0004] In order to achieve the above objectives / solve the above technical problems, the present invention is implemented by adopting the following technical solutions.

[0005] In one aspect, the present invention provides a method for configuring a user-side shared energy storage, comprising:

[0006] Based on the rain flow counting method, the energy storage life expectancy model of shared energy storage is established.

[0007] Set the objective function of user-side shared energy storage configuration that takes into account the shared energy storage cost and the user's electricity cost, and establish a user-side shared energy storage configuration model based on the constraints for the user-side shared energy storage configuration;

[0008] The energy storage life expectancy model is coupled with the user-side shared energy storage configuration model, and an iterative solution process for user-side shared energy storage configuration is proposed;

[0009] An iterative algorithm based on dichotomy is used to calculate the solution process of the shared energy storage configuration on the user side to obtain the expected life of the shared energy storage and the corresponding optimal configuration results.

[0010] Furthermore, the establishment of the energy storage life expectancy model for shared energy storage specifically includes the following steps:

[0011] The number of charge and discharge cycles and charge and discharge depth of the energy storage battery are calculated according to the rain flow counting method, and the equivalent number of cycles is calculated according to the fitting function relationship between the cycle life of the energy storage battery and the discharge depth:

[0012] ,

[0013] in, Represents the cycle life of the energy storage battery when the charge and discharge depth is 1, Represents the depth of charge and discharge Energy storage battery cycle life, is the equivalent number of cycles, is the charge and discharge depth of the energy storage battery during the qth charge and discharge cycle, The depth of charge and discharge is 1, is the depth of charge and discharge;

[0014] Then the equivalent number of cycles of the energy storage battery after q charge and discharge cycles is for:

[0015] ,

[0016] Therefore, the life loss rate S of the energy storage battery is:

[0017] ,

[0018] when When the life of the energy storage battery is exhausted, it needs to be scrapped;

[0019] When the calculation period is one year, the equivalent number of cycles of the energy storage battery in one year is the accumulation of the number of days d:

[0020] ,

[0021] in: is the equivalent number of cycles of the energy storage battery in years, is the equivalent number of cycles of the energy storage battery in days;

[0022] The expected life of energy storage is:

[0023] ,

[0024] in, The expected life of energy storage considering the number of charge and discharge cycles.

[0025] Furthermore, the objective function of the user-side shared energy storage configuration that considers the shared energy storage cost and the user's electricity cost specifically includes:

[0026] ,

[0027] in, is the number of typical days, For the The number of days corresponding to a typical day, is the typical daily average investment cost of shared energy storage, is the typical daily average maintenance cost of shared energy storage, The electricity cost of each typical day purchased by the user from the grid, For the The demand cost of electricity purchased from the grid by the mth user in the month corresponding to the typical day;

[0028] Average daily investment cost of shared energy storage:

[0029] ,

[0030] in, represents the annuity present value coefficient, is the power cost of shared energy storage, is the capacity cost of shared energy storage, is the rated charging and discharging power of the shared energy storage, is the rated capacity of the shared energy storage,

[0031] Expected storage life for shared energy storage, Represents the number of iterations;

[0032] Average daily maintenance cost of shared energy storage:

[0033] ,

[0034] in, Represents the number of users, represents the number of time periods, For each typical day, the power taken by the i-th user from the shared energy storage during period t is: For each typical day, the power stored by the i-th user in the shared energy storage during period t, Unit maintenance costs for charging and discharging shared energy storage;

[0035] The electricity cost of each typical day purchased by the user from the power grid:

[0036] ,

[0037] in, is the electricity charge for the electricity purchased from the power grid by the user during period t, is the power purchased by the i-th user from the grid during period t;

[0038] No. The demand cost of electricity purchased from the power grid by users in the month corresponding to a typical day is:

[0039] ,

[0040] in, The demand electricity fee for users to purchase electricity from the power grid. For the i-th user in the scene The peak amount of electricity purchased under

[0041] Furthermore, the constraints of the user-side shared energy storage configuration include:

[0042] Shared energy storage charging and discharging power constraints:

[0043] ,

[0044] ,

[0045] ,

[0046] ,

[0047] ,

[0048] ,

[0049] in, is the shared energy storage charging power during period t, is the shared energy storage discharge power during period t; The charging status of the shared energy storage during period t; is the shared energy storage discharge state during period t, and Cannot be 1 at the same time; The estimated daily charge and discharge times of the energy storage batteries in the shared energy storage; It is the ideal maximum value of the charge and discharge depth of the energy storage battery;

[0050] Energy storage battery capacity upper and lower limits:

[0051] ,

[0052] in, The energy stored in the shared energy storage for period t;

[0053] Energy storage battery state of charge constraints:

[0054] E ess ( t ) = E ess ( t − 1 ) + [ η abs P ess , abs ( t ) − 1 η release P ess , release ( t ) ] Δ t ,

[0055] in, For charging efficiency, is the discharge efficiency;

[0056] Constraints on the flow of electricity between each user and shared energy storage:

[0057] ,

[0058] ,

[0059] ,

[0060] ,

[0061] ,

[0062] in, Store electricity for the i-th user in period t and charge the shared energy storage; The power consumption status of the i-th user from the shared energy storage in period t; and Cannot be 1 at the same time;

[0063] Energy storage battery charging and discharging power balance constraints:

[0064] ∑ i = 1 N [ P ess , d , w , i ( t ) − P ess , c , w , i ( t ) ] = P ess , release ( t ) − P ess , abs ( t ) ,

[0065] The energy storage battery charging and discharging power balance constraint is that the sum of the differences in the power exchange values ​​between each user and the shared energy storage must be equal to the power change of the energy storage battery during that period;

[0066] User power balance constraints:

[0067] ,

[0068] in, is the photovoltaic power generation of the ith user in period t on each typical day;

[0069] is the power value of the electric load of the ith user in period t on each typical day;

[0070] Power Constraints for User Purchases:

[0071] .

[0072] Furthermore, the coupling energy storage life expectancy model and the user-side shared energy storage configuration model propose an iterative user-side shared energy storage configuration solution process that specifically includes:

[0073] Process 1: Extract the typical daily load power value of each user from the historical load data of each user;

[0074] Process 2: Based on the typical daily load power value of each user and the expected storage life of the shared energy storage , optimizing and solving the energy storage configuration result of the user-side shared energy storage configuration model, the energy storage configuration result includes: the shared energy storage rated power, the shared energy storage rated capacity and the shared energy storage charging and discharging strategy;

[0075] Process 3: Substituting the shared energy storage charging and discharging strategy into the energy storage expected life model to calculate the energy storage expected life considering the number of charging and discharging cycles , the expected life of the energy storage will be considered based on the number of charge and discharge cycles Expected storage life with shared energy storage Perform a comparison process. If the difference between the two is within the error range, the configuration is feasible and the energy storage configuration result is output; otherwise, the configuration is not feasible and process 4 is performed;

[0076] Process 4: Resetting the expected lifespan of shared energy storage , recalculate the energy storage configuration result, and repeat process 3 until the expected life of the energy storage considering the number of charge and discharge cycles is Expected storage life with shared energy storage The difference between the two is within the error range, and the final energy storage configuration result is obtained.

[0077] Furthermore, the expected storage life of shared energy storage The acquisition methods include:

[0078] ,

[0079] in: The expected life of the energy storage considering the number of charge and discharge cycles calculated at the k-1th iteration ;

[0080] When k=0, The value of can be set by yourself;

[0081] The calculation method of energy storage configuration results includes:

[0082] When the expected life of energy storage that meets the error range is obtained After that, Substitute the shared energy storage optimization configuration model to solve the final configuration result of the shared energy storage, including the rated power and rated capacity.

[0083] Furthermore, the expected life of energy storage considering the number of charge and discharge cycles and setting the expected storage life of shared energy storage The error range is specifically:

[0084] ,

[0085] in: is the error threshold.

[0086] In a second aspect, the present invention provides a user-side shared energy storage configuration device, comprising:

[0087] Building module: used to build the energy storage life expectancy model of shared energy storage based on the rain flow counting method.

[0088] Configuration module: used to set the objective function of user-side shared energy storage configuration considering shared energy storage cost and user electricity cost, and to establish a user-side shared energy storage configuration model in combination with the constraints for user-side shared energy storage configuration;

[0089] Coupling module: used to couple the energy storage life expectancy model with the user-side shared energy storage configuration model, and propose an iterative solution process for the user-side shared energy storage configuration;

[0090] The solution module is used to calculate the solution process of the user-side shared energy storage configuration by using an iterative algorithm based on the dichotomy method, so as to obtain the expected life of the shared energy storage and the corresponding optimal configuration result of the shared energy storage.

[0091] In a third aspect, the present invention provides a user-side shared energy storage configuration system, comprising:

[0092] Memory, for storing computer programs / instructions;

[0093] A processor is used to execute the computer program / instructions to implement the steps of the above-mentioned user-side shared energy storage configuration method.

[0094] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program / instruction stored thereon, which, when executed by a processor, implements the steps of the above-mentioned user-side shared energy storage configuration method.

[0095] Compared with the prior art, the present invention has the following beneficial effects:

[0096] In view of the problem that the energy storage life in the current energy storage configuration model is a fixed value and cannot reflect the impact of the charging and discharging strategy on the configuration, the present invention proposes an energy storage configuration model that takes into account the coupling of expected life and charging and discharging strategy; based on the rain flow counting method, a shared energy storage expected life model is established to quantify the relationship between the energy storage charging and discharging strategy and the expected life of the energy storage; a user-side shared energy storage configuration objective function that takes into account the shared energy storage cost and the user's electricity cost is established, and constraints for the integration of shared energy storage configuration and operation are established; modeling is used for the optimal configuration of shared energy storage economy, and a shared energy storage configuration model that couples expected life and optimal economy is solved, and a user-side shared energy storage configuration scheme that takes into account the operating life loss based on iteration is proposed to obtain the optimal shared energy storage configuration result, which makes up for the deficiency of the existing energy storage model in considering the variable life of energy storage and solves the problem of how to simultaneously optimize the charging and discharging scheme and the energy storage life.

[0097] The shared energy storage optimization configuration model established by the present invention can effectively reduce the energy cost of the user-side system; for the system, the configuration result optimizes the curve on the load side, which is conducive to the regulation of the peak-to-valley difference of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0098] Figure 1 This is a flow chart of the user-side shared energy storage configuration method provided by the present invention. DETAILED DESCRIPTION

[0099] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0100] The term "and / or" is only a way to describe the association relationship of associated objects. There can be three kinds of relationships. For example, A and / or B can be: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " generally means that the associated objects before and after are in an "or" relationship.

[0101] Example 1

[0102] like Figure 1 An embodiment shown in the figure provides a method for configuring shared energy storage at a user side, including:

[0103] Step S1: Establishing an energy storage life expectancy model for shared energy storage based on the rain flow counting method;

[0104] The establishment of the energy storage life expectancy model for shared energy storage specifically includes the following steps:

[0105] The number of charge and discharge cycles and charge and discharge depth of the energy storage battery are calculated according to the rain flow counting method, and the equivalent number of cycles is calculated according to the fitting function relationship between the cycle life of the energy storage battery and the discharge depth:

[0106] ,

[0107] in, Represents the cycle life of the energy storage battery when the charge and discharge depth is 1, Represents the depth of charge and discharge Energy storage battery cycle life, is the equivalent number of cycles, is the charge and discharge depth of the energy storage battery during the qth charge and discharge cycle, The depth of charge and discharge is 1, is the depth of charge and discharge;

[0108] Then the equivalent number of cycles of the energy storage battery after q charge and discharge cycles is for:

[0109] ,

[0110] Therefore, the life loss rate S of the energy storage battery is:

[0111] ,

[0112] when When the life of the energy storage battery is exhausted, it needs to be scrapped;

[0113] When the calculation period is one year, the equivalent number of cycles of the energy storage battery in one year is the accumulation of the number of days d:

[0114] ,

[0115] in: is the equivalent number of cycles of the energy storage battery in years, is the equivalent number of cycles of the energy storage battery in days;

[0116] The expected life of energy storage is:

[0117] ,

[0118] in, The expected life of energy storage considering the number of charge and discharge cycles.

[0119] Step S2: Establishing the objective function of user-side shared energy storage configuration considering shared energy storage cost and user electricity cost specifically includes:

[0120] ,

[0121] in, is the number of typical days, For the The number of days corresponding to a typical day, is the typical daily average investment cost of shared energy storage, is the typical daily average maintenance cost of shared energy storage, The electricity cost of each typical day purchased by the user from the grid, The demand charge for electricity purchased by users from the grid each month;

[0122] Average daily investment cost of shared energy storage:

[0123] ,

[0124] in, represents the annuity present value coefficient, is the power cost of shared energy storage, is the capacity cost of shared energy storage, is the rated charging and discharging power of the shared energy storage, is the rated capacity of the shared energy storage,

[0125] is the number of typical days with different electricity consumption characteristics in the load of this user group within a year, For the shared energy storage life, Represents the number of iterations;

[0126] Average daily maintenance cost of shared energy storage:

[0127] ,

[0128] in, Represents the number of users, represents the number of time periods,

[0129] For each typical day, the power taken by the i-th user from the shared energy storage during period t is:

[0130] For each typical day, the power stored by the i-th user in the shared energy storage during period t,

[0131] Unit maintenance costs for charging and discharging shared energy storage;

[0132] The electricity cost of each typical day purchased by the user from the power grid:

[0133] ,

[0134] in, The electricity charges for electricity purchased by users from the power grid. is the power purchased by the i-th user from the grid during period t;

[0135] The monthly demand cost of electricity purchased by users from the power grid is:

[0136] ,

[0137] in, The demand electricity fee for users to purchase electricity from the power grid. is the monthly peak amount of electricity purchased by the ith user.

[0138] Step S3, establishing constraints for the integration of shared energy storage configuration and operation, including shared energy storage power station constraints, user power balance constraints, and user power purchase power constraints;

[0139] The shared energy storage power station constraints include: shared energy storage charging and discharging power constraints, energy storage battery capacity upper and lower limit constraints, energy storage battery charge state constraints, power flow constraints between each user and shared energy storage, and energy storage battery charging and discharging power balance constraints;

[0140] Among them: shared energy storage charging and discharging power constraints:

[0141] ,

[0142] ,

[0143] ,

[0144] ,

[0145] ,

[0146] ,

[0147] in, Charging power for shared energy storage, Discharging power for shared energy storage; Charging status for shared energy storage; It is the shared energy storage discharge state. and Cannot be 1 at the same time; The estimated daily charge and discharge times of the energy storage batteries in the shared energy storage; is the ideal maximum value of the charge and discharge depth of the energy storage battery; Formula (16) limits the daily charge and discharge depth and times of the battery for economic considerations, making the user's storage and withdrawal behaviors more concentrated;

[0148] Energy storage battery capacity upper and lower limits:

[0149] ,

[0150] in, The energy stored in the shared energy storage for period t;

[0151] Energy storage battery state of charge constraints:

[0152] E ess ( t ) = E ess ( t − 1 ) + [ η abs P ess , abs ( t ) − 1 η release P ess , release ( t ) ] Δ t ,

[0153] in, For charging efficiency, is the discharge efficiency;

[0154] Constraints on the flow of electricity between each user and shared energy storage:

[0155] ,

[0156] ,

[0157] ,

[0158] ,

[0159] ,

[0160] in, Store electrical energy for the i-th user and charge the shared energy storage; The state of electricity withdrawal from shared energy storage for the i-th user; and Cannot be 1 at the same time;

[0161] Energy storage battery charging and discharging power balance constraints:

[0162] ∑ i = 1 N [ P ess , d , w , i ( t ) − P ess , c , w , i ( t ) ] = P ess , release ( t ) − P ess , abs ( t ) ,

[0163] The constraint is that the sum of the differences in the power exchange values ​​between each user and the shared energy storage must be equal to the power change of the energy storage battery during that period;

[0164] User power balance constraints:

[0165] ,

[0166] in, is the photovoltaic power generation of the ith user in period t on each typical day;

[0167] is the power value of the electric load of the ith user in period t on each typical day;

[0168] Power Constraints for User Purchases:

[0169] ,

[0170] This constraint means that the power purchased by the i-th user in period t on each typical day cannot exceed the maximum power purchased from the grid in this scenario.

[0171] Step S4: coupling the energy storage life expectancy model with the user-side shared energy storage configuration model, and proposing an iterative solution process for the user-side shared energy storage configuration, specifically including:

[0172] Process 1: Extract the typical daily load power value of each user from the historical load data of each user;

[0173] Process 2: Based on the typical daily load power value of each user and the expected storage life of the shared energy storage , optimizing and solving the energy storage configuration result of the user-side shared energy storage configuration model, the energy storage configuration result includes: the shared energy storage rated power, the shared energy storage rated capacity and the shared energy storage charging and discharging strategy;

[0174] Process 3: Substituting the shared energy storage charging and discharging strategy into the energy storage expected life model to calculate the energy storage expected life considering the number of charging and discharging cycles , the expected life of the energy storage will be considered based on the number of charge and discharge cycles Expected storage life with shared energy storage Compare them. If the difference between the two is within the error range, the configuration is feasible and the energy storage configuration result is output; otherwise, the configuration is not feasible and process 4 is performed:

[0175] Process 4: Resetting the expected lifespan of shared energy storage , recalculate the energy storage configuration results, repeat process 3 comparison process until the expected life of the energy storage considering the number of charge and discharge cycles is Expected storage life with shared energy storage The difference between the two is within the error range, and the final energy storage configuration result is obtained.

[0176] The expected life of energy storage considering the number of charge and discharge cycles and setting the expected storage life of shared energy storage The error range is specifically:

[0177] ,

[0178] in: is the allowable error threshold.

[0179] Step S5: using an iterative algorithm based on the dichotomy method to calculate the solution process of the user-side shared energy storage configuration, and obtaining the expected energy storage life of the shared energy storage and the corresponding optimal configuration result.

[0180] Shared energy storage expected storage life The acquisition methods include:

[0181] ,

[0182] in: The expected life of the energy storage considering the number of charge and discharge cycles calculated at the k-1th iteration ;

[0183] When k=0, The value of can be set by yourself, and 5 is preferred;

[0184] The calculation method of energy storage configuration results includes:

[0185] When the expected life of energy storage that meets the error range is obtained After that, Substitute the shared energy storage optimization configuration model to solve the final configuration result of the shared energy storage, including the rated power and rated capacity.

[0186] Embodiment 2:

[0187] Based on the same inventive concept as that of Embodiment 1, this embodiment provides a user-side shared energy storage configuration device, including:

[0188] Building module: used to build the energy storage life expectancy model for shared energy storage,

[0189] Configuration module: used to set the objective function of user-side shared energy storage configuration considering shared energy storage cost and user electricity cost, and to establish a user-side shared energy storage configuration model in combination with the constraints for user-side shared energy storage configuration;

[0190] Coupling module: used to couple the energy storage life expectancy model with the user-side shared energy storage configuration model, and propose an iterative solution process for the user-side shared energy storage configuration;

[0191] The solution module is used to calculate the solution process of the user-side shared energy storage configuration by using an iterative algorithm based on the dichotomy method, so as to obtain the expected life of the shared energy storage and the corresponding optimal configuration result of the shared energy storage.

[0192] Embodiment 3:

[0193] This embodiment provides a user-side shared energy storage configuration system, including:

[0194] Memory, for storing computer programs / instructions;

[0195] A processor is used to execute the computer program / instructions to implement the steps of the above-mentioned user-side shared energy storage configuration method.

[0196] Embodiment 4:

[0197] This embodiment provides a computer-readable storage medium on which a computer program / instruction is stored. When the computer program / instruction is executed by a processor, the steps of the above-mentioned user-side shared energy storage configuration method are implemented.

[0198] Take three users with single-peak electricity demand as an example. The electricity price data is shown in Table 1; the demand electricity fee is 48 yuan / (kW•h), which is collected monthly; the energy storage battery uses lithium iron phosphate batteries, and the unit power cost and unit capacity cost of users' investment in shared energy storage construction are 1,000 yuan / (kW) and 1,200 yuan / (kW•h) respectively. Taking into account the time value of funds, the annual interest rate of funds is 4%, the estimated life of the power station is initialized to 5 years, the lower limit of the energy storage charge state is 0.1, and the upper limit is 0.9. The initial charge state and the charge state of the last period meet the continuity constraint of the energy storage equipment state. The number of typical days is 1, and the number of typical days is 365 days.

[0199] Table 1 Time-of-use electricity prices for industrial and commercial users

[0200]

[0201] According to the model and solution method described above, the expected life of energy storage is initially set to 5 years, and the optimal configuration of shared energy storage is repeatedly calculated using the dichotomy method. The iteration is considered to have converged. At this time, the number of iterations is 15, and the expected service life is 12.65 years. The optimal capacity of shared energy storage this year is 9602.9kW•h, the optimal rated charge and discharge power of shared energy storage this year is 3644.3kW, the cost of electricity purchased from the power grid by the user group this year is 25.238 million yuan, and the total annual electricity cost of the user group is 26.669 million yuan. To further illustrate the superiority of the present invention, the initial configuration result (lifetime of 5 years), the optimal configuration result (lifetime of 12.65 years) and the unconfigured shared energy storage are compared, and the results are shown in Table 2.

[0202] Table 2 Shared energy storage configuration results

[0203] Optimization indicators Initial Configuration Results Optimal configuration results No shared energy storage is configured Rated charging and discharging power (kW) 41.3 3644.3 0 Optimal capacity of power station (kW•h) 202.8 9602.9 0 Electricity purchase cost (10,000 yuan) 2767.2 2523.8 2774.9 Total cost for users (10,000 yuan) 2773.3 2666.9 2774.9

[0204] According to the above data, it can be seen that the method of the present invention reduces the total cost of users compared with the initial configuration and the situation where shared energy storage is not configured. When the expected life of shared energy storage is low, due to the high initial investment cost of energy storage, the effect of reducing user costs is not obvious, but the updated configuration scheme can effectively improve the economy of the user-side system.

[0205] In view of the problem that the energy storage life in the current energy storage configuration model is a fixed value and cannot reflect the impact of the charging and discharging strategy on the configuration, the present invention proposes an energy storage configuration model that takes into account the coupling of expected life and charging and discharging strategy. Although some existing configuration models take into account the energy storage loss characteristics, there is no configuration method that takes into account the variable life of energy storage. The model proposed in the present invention makes up for the shortcomings of the existing energy storage models in this physical sense and solves the problem of how to simultaneously optimize the charging and discharging scheme and the energy storage life.

[0206] The shared energy storage optimization configuration model established by the present invention can effectively reduce the energy cost of the user-side system; for the system, the configuration result optimizes the curve on the load side, which is conducive to the regulation of the peak-to-valley difference of the system.

[0207] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0208] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0209] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0210] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0211] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A method for configuring shared energy storage at a user side, characterized in that: include: Based on the rain flow counting method, the energy storage life expectancy model of shared energy storage is established. Set the objective function of user-side shared energy storage configuration that takes into account the shared energy storage cost and the user's electricity cost, and establish a user-side shared energy storage configuration model based on the constraints for the user-side shared energy storage configuration; The energy storage life expectancy model is coupled with the user-side shared energy storage configuration model, and an iterative solution process for user-side shared energy storage configuration is proposed; An iterative algorithm based on dichotomy is used to calculate the solution process of the shared energy storage configuration on the user side to obtain the expected life of the shared energy storage and the corresponding optimal configuration results.

2. The user-side shared energy storage configuration method according to claim 1, characterized in that: The establishment of the energy storage life expectancy model for shared energy storage specifically includes the following steps: The number of charge and discharge cycles and charge and discharge depth of the energy storage battery are calculated according to the rain flow counting method, and the equivalent number of cycles is calculated according to the fitting function relationship between the cycle life of the energy storage battery and the discharge depth: ， in, Represents the cycle life of the energy storage battery when the charge and discharge depth is 1, Represents the depth of charge and discharge Energy storage battery cycle life, is the equivalent number of cycles, is the charge and discharge depth of the energy storage battery during the qth charge and discharge cycle, The depth of charge and discharge is 1, is the depth of charge and discharge; Then the equivalent number of cycles of the energy storage battery after q charge and discharge cycles is for: ， Therefore, the life loss rate S of the energy storage battery is: ， when When the life of the energy storage battery is exhausted, it needs to be scrapped; When the calculation period is one year, the equivalent number of cycles of the energy storage battery in one year is the accumulation of the number of days d: ， in: is the equivalent number of cycles of the energy storage battery in years, is the equivalent number of cycles of the energy storage battery in days; The expected life of energy storage is: ， in, The expected life of energy storage considering the number of charge and discharge cycles.

3. The user-side shared energy storage configuration method according to claim 1, characterized in that: The objective function of the user-side shared energy storage configuration considering the shared energy storage cost and the user's electricity cost specifically includes: ， in, is the number of typical days, For the The number of days corresponding to a typical day, is the typical daily average investment cost of shared energy storage, is the typical daily average maintenance cost of shared energy storage, The electricity cost of each typical day purchased by the user from the grid, For the The demand cost of electricity purchased from the grid by the mth user in the month corresponding to the typical day; Average daily investment cost of shared energy storage: ， in, represents the annuity present value coefficient, is the power cost of shared energy storage, is the capacity cost of shared energy storage, is the rated charging and discharging power of the shared energy storage, is the rated capacity of the shared energy storage, Expected storage life for shared energy storage, Represents the number of iterations; Average daily maintenance cost of shared energy storage: ， in, Represents the number of users, represents the number of time periods, For each typical day, the power taken by the i-th user from the shared energy storage during period t is: For each typical day, the power stored by the i-th user in the shared energy storage during period t, Unit maintenance costs for charging and discharging shared energy storage; The electricity cost of each typical day purchased by the user from the power grid: ， in, is the electricity charge for the electricity purchased from the power grid by the user during period t, is the power purchased by the i-th user from the grid during period t; No. The demand cost of electricity purchased from the power grid by users in the month corresponding to a typical day is: ， in, The demand electricity fee for users to purchase electricity from the power grid. For the i-th user in the scene The peak amount of electricity purchased under 4. The user-side shared energy storage configuration method according to claim 3, characterized in that: The constraints of the user-side shared energy storage configuration include: Shared energy storage charging and discharging power constraints: ， ， ， ， ， ， in, is the shared energy storage charging power during period t, is the shared energy storage discharge power during period t; The charging status of the shared energy storage during period t; is the shared energy storage discharge state during period t, and Cannot be 1 at the same time; The estimated daily charge and discharge times of the energy storage batteries in the shared energy storage; It is the ideal maximum value of the charge and discharge depth of the energy storage battery; Energy storage battery capacity upper and lower limits: ， in, The energy stored in the shared energy storage for period t; Energy storage battery state of charge constraints: ， in, For charging efficiency, is the discharge efficiency; Constraints on the flow of electricity between each user and shared energy storage: ， ， ， ， ， in, Store electricity for the i-th user in period t and charge the shared energy storage; The power consumption status of the i-th user from the shared energy storage in period t; and Cannot be 1 at the same time; Energy storage battery charging and discharging power balance constraints: ， The energy storage battery charging and discharging power balance constraint is that the sum of the differences in the power exchange values ​​between each user and the shared energy storage must be equal to the power change of the energy storage battery during that period; User power balance constraints: ， in, is the photovoltaic power generation of the ith user in period t on each typical day; is the power value of the electric load of the ith user in period t on each typical day; Power Constraints for User Purchases: 。 5. The user-side shared energy storage configuration method according to claim 4, characterized in that: The coupling energy storage life expectancy model and the user-side shared energy storage configuration model propose an iterative user-side shared energy storage configuration solution process that specifically includes: Process 1: Extract the typical daily load power value of each user from the historical load data of each user; Process 2: Based on the typical daily load power value of each user and the expected storage life of the shared energy storage , optimizing and solving the energy storage configuration result of the user-side shared energy storage configuration model, the energy storage configuration result includes: the shared energy storage rated power, the shared energy storage rated capacity and the shared energy storage charging and discharging strategy; Process 3: Substituting the shared energy storage charging and discharging strategy into the energy storage expected life model to calculate the energy storage expected life considering the number of charging and discharging cycles , the expected life of the energy storage will be considered based on the number of charge and discharge cycles Expected storage life with shared energy storage Perform a comparison process. If the difference between the two is within the error range, the configuration is feasible and the energy storage configuration result is output; otherwise, the configuration is not feasible and process 4 is performed; Process 4: Resetting the expected lifespan of shared energy storage , recalculate the energy storage configuration result, and repeat process 3 until the expected life of the energy storage considering the number of charge and discharge cycles is Expected storage life with shared energy storage The difference between the two is within the error range, and the final energy storage configuration result is obtained.

6. The user-side shared energy storage configuration method according to claim 5, characterized in that: Shared energy storage expected storage life The acquisition methods include: ， in: The expected life of the energy storage considering the number of charge and discharge cycles calculated at the k-1th iteration ; When k=0, The value of can be set by yourself; The calculation method of energy storage configuration results includes: When the expected life of energy storage that meets the error range is obtained After that, Substitute the shared energy storage optimization configuration model to solve the final configuration result of the shared energy storage, including the rated power and rated capacity.

7. The user-side shared energy storage configuration method according to claim 5, characterized in that: The expected life of energy storage considering the number of charge and discharge cycles and setting the expected storage life of shared energy storage The error range is specifically: ， in: is the error threshold.

8. A user-side shared energy storage configuration device, characterized in that: include: Building module: used to build a life expectancy model for shared energy storage based on the rainflow counting method. Configuration module: used to set the objective function of user-side shared energy storage configuration considering shared energy storage cost and user electricity cost, and to establish a user-side shared energy storage configuration model in combination with the constraints for user-side shared energy storage configuration; Coupling module: used to couple the energy storage life expectancy model with the user-side shared energy storage configuration model, and propose an iterative solution process for the user-side shared energy storage configuration; The solution module is used to calculate the solution process of the user-side shared energy storage configuration by using an iterative algorithm based on the dichotomy method, so as to obtain the expected life of the shared energy storage and the corresponding optimal configuration result of the shared energy storage.

9. A user-side shared energy storage configuration system, characterized in that: include: Memory, for storing computer programs / instructions; A processor, used to execute the computer program / instructions to implement the steps of the user-side shared energy storage configuration method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instruction is executed by a processor, the steps of the user-side shared energy storage configuration method described in any one of claims 1 to 7 are implemented.

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