Energy storage planning method and device, electronic equipment and storage medium

Abstract

The energy storage planning method, apparatus, electronic device, and storage medium provided in this application first obtain the target load power of the electrical equipment and the target power generation of the energy storage device within a preset future time period. Then, based on the target load power, target power generation, energy storage device usage cost information, and the expected lifespan of the energy storage device, the method determines the first configuration performance information and the first charge / discharge power information of the energy storage device within the preset future time period. Finally, if the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, the first configuration performance information and the first charge / discharge power information are determined as the energy storage planning information. This technical solution ensures the coordination between the energy storage planning scheme and the energy storage lifespan decay through the above method, achieving the technical effect of determining an accurate energy storage planning scheme.

Description

Technical Field

[0001] This application relates to the field of energy storage technology, and in particular to an energy storage planning method, device, electronic equipment and storage medium. Background Technology

[0002] User-side energy storage refers to energy storage facilities built on or near the user's premises. By combining the user's own electricity load characteristics, the power generation capacity of distributed photovoltaics, and the conditions of user-side time-of-use pricing, a reasonable energy storage planning strategy can be set up to achieve the effects of ensuring the local consumption of distributed new energy and reducing user-side economic costs.

[0003] In existing technologies, the power cost savings over the entire life cycle of user-side energy storage are estimated based on factors such as user load demand, renewable energy generation patterns, and time-of-use pricing, as well as the investment, construction, and operation costs of energy storage, to calculate an accurate energy storage planning scheme.

[0004] However, existing technologies consider too few factors affecting energy storage planning, resulting in inaccurate energy storage planning schemes. Summary of the Invention

[0005] This application provides an energy storage planning method, apparatus, electronic device, and storage medium to address the problems of inaccurate energy storage planning schemes in the prior art.

[0006] In a first aspect, embodiments of this application provide an energy storage planning method, including:

[0007] S1, obtain the target load power of electrical equipment and the target power generation power of energy storage equipment within a preset time period in the future;

[0008] S2, based on the target load power, the target power generation, the usage cost information of the energy storage device, and the expected lifespan of the energy storage device, determine the first configuration performance information and the first charge / discharge power information of the energy storage device within the future preset time period;

[0009] S3, if the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, then the first configuration performance information and the first charge / discharge power information are determined as energy storage planning information, and the theoretical lifespan is determined based on the first charge / discharge power information and the expected lifespan.

[0010] In one possible implementation, the method further includes:

[0011] S4, if the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is greater than or equal to the preset deviation threshold, the theoretical lifespan is updated to the new expected lifespan, and steps S2-S4 are repeated until the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than the preset deviation threshold, or the number of iterations reaches the preset number threshold, wherein the number of iterations is the number of times the expected lifespan is updated;

[0012] S5, the first configuration performance information and the first charge / discharge power information corresponding to when the deviation is less than the preset deviation threshold or when the number of iterations reaches the preset number threshold are used as energy storage planning information.

[0013] In one possible implementation, determining the first configuration performance information and first charge / discharge power information of the energy storage device within the preset future timeframe based on the target load power, the target power generation, the usage cost information of the energy storage device, and the expected lifespan of the energy storage device includes:

[0014] Based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, the first constraint, and the second constraint, determine the first configuration performance information and the first charge / discharge power information of the energy storage device within the preset future time period;

[0015] The usage cost information includes: the floor area of ​​the energy storage device and the energy storage configuration power standard corresponding to the unit floor area; the target power generation includes: the distributed power generation of the energy storage device within the future preset time period; the target load power includes: the power demand of the electrical equipment within the future preset time period; the first constraint is determined based on the floor area and the energy storage configuration power standard; the second constraint is determined based on the energy storage configuration power standard, the charging and discharging power, and the upper and lower limits of the state of charge.

[0016] In one possible implementation, the future preset duration includes: a first preset duration corresponding to working days and a second preset duration corresponding to non-working days;

[0017] Accordingly, the target load power includes: the first load power corresponding to the first preset duration and the second load power corresponding to the second preset duration, and the target power generation includes: the first power generation corresponding to the first preset duration and the second power generation corresponding to the second preset duration.

[0018] In one possible implementation, determining the first configuration performance information and first charge / discharge power information of the energy storage device within the preset future timeframe based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, a first constraint, and a second constraint includes:

[0019] Based on the first load power, the first power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for the workday.

[0020] The first configuration performance information includes: the configuration power and configuration capacity on a working day; the first charge / discharge power information includes: the charging power and the discharging power on a working day.

[0021] In one possible implementation, determining the first configuration performance information and first charge / discharge power information of the energy storage device within the preset future timeframe based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, a first constraint, and a second constraint includes:

[0022] Based on the second load power, the second power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for non-working days.

[0023] The first configuration performance information includes: the configuration power on non-working days and the configuration capacity on non-working days; the first charging and discharging power information includes: the charging power on non-working days and the discharging power on non-working days.

[0024] In one possible implementation, obtaining the target load power of electrical equipment and the target power generation power of energy storage equipment within a preset future time period includes:

[0025] Obtain the first load power of the electrical equipment and the first power generation power of the energy storage device within a historical time period;

[0026] Based on the least squares algorithm, the first load power and the first power generation power are processed to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage device within the future preset time period.

[0027] The load reference power and the power generation reference power are normalized to obtain the second load power and the second power generation power;

[0028] The target load power and the target power generation are determined based on the second load power, the second power generation, the maximum load demand of the electrical equipment, and the maximum power generation of the energy storage device.

[0029] Secondly, embodiments of this application provide an energy storage planning device, comprising:

[0030] The acquisition module is used to execute S1 to acquire the target load power of electrical equipment and the target power generation power of energy storage equipment within a preset time period in the future.

[0031] The first processing module is used to execute S2, which determines the first configuration performance information and the first charge / discharge power information of the energy storage device within the future preset time period based on the target load power, the target power generation, the usage cost information of the energy storage device, and the expected lifespan of the energy storage device.

[0032] The first determining module is used to execute S3. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, then the first configuration performance information and the first charge / discharge power information are determined as energy storage planning information. The theoretical lifespan is determined based on the first charge / discharge power information and the expected lifespan.

[0033] In one possible implementation, the device further includes:

[0034] The second processing module is used to execute S4. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is greater than or equal to the preset deviation threshold, the theoretical lifespan is updated to a new expected lifespan, and steps S2-S4 are repeated until the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than the preset deviation threshold, or the number of iterations reaches a preset number threshold, wherein the number of iterations is the number of times the expected lifespan is updated.

[0035] The second determining module is used to execute S5, and to take the first configuration performance information and the first charge and discharge power information corresponding to the deviation being less than the preset deviation threshold or the number of iterations reaching the preset number threshold as the energy storage planning information.

[0036] In one possible implementation, the first processing module is specifically used for:

[0037] Based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, the first constraint, and the second constraint, determine the first configuration performance information and the first charge / discharge power information of the energy storage device within the preset future time period;

[0038] The usage cost information includes: the floor area of ​​the energy storage device and the energy storage configuration power standard corresponding to the unit floor area; the target power generation includes: the distributed power generation of the energy storage device within the future preset time period; the target load power includes: the power demand of the electrical equipment within the future preset time period; the first constraint is determined based on the floor area and the energy storage configuration power standard; the second constraint is determined based on the energy storage configuration power standard, the charging and discharging power, and the upper and lower limits of the state of charge.

[0039] In one possible implementation, the future preset duration includes: a first preset duration corresponding to working days and a second preset duration corresponding to non-working days;

[0040] Accordingly, the target load power includes: the first load power corresponding to the first preset duration and the second load power corresponding to the second preset duration, and the target power generation includes: the first power generation corresponding to the first preset duration and the second power generation corresponding to the second preset duration.

[0041] In one possible implementation, the first processing module determines, based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, a first constraint, and a second constraint, the first configuration performance information and the first charge / discharge power information of the energy storage device within the preset future time period, specifically for:

[0042] Based on the first load power, the first power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for the workday.

[0043] The first configuration performance information includes: the configuration power and configuration capacity on a working day; the first charge / discharge power information includes: the charging power and the discharging power on a working day.

[0044] In one possible implementation, the first processing module determines, based on the target load power, the target power generation, the usage cost information of the energy storage device, the expected lifespan of the energy storage device, a first constraint, and a second constraint, the first configuration performance information and the first charge / discharge power information of the energy storage device within the preset future time period, specifically for:

[0045] Based on the second load power, the second power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for non-working days.

[0046] The first configuration performance information includes: the configuration power on non-working days and the configuration capacity on non-working days; the first charging and discharging power information includes: the charging power on non-working days and the discharging power on non-working days.

[0047] In one possible implementation, the acquisition module is specifically used for:

[0048] Obtain the first load power of the electrical equipment and the first power generation power of the energy storage device within a historical time period;

[0049] Based on the least squares algorithm, the first load power and the first power generation power are processed to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage device within the future preset time period.

[0050] The load reference power and the power generation reference power are normalized to obtain the second load power and the second power generation power;

[0051] The target load power and the target power generation are determined based on the second load power, the second power generation, the maximum load demand of the electrical equipment, and the maximum power generation of the energy storage device.

[0052] Thirdly, embodiments of this application provide an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0053] The memory stores computer-executed instructions;

[0054] The processor executes computer execution instructions stored in the memory to implement the method as described in the first aspect or any of the above methods.

[0055] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method described in the first aspect or any of the above-described methods.

[0056] Fifthly, embodiments of this application provide a computer program, the computer program product including a computer program stored in a computer-readable storage medium, at least one processor can read the computer program from the computer-readable storage medium, and the at least one processor can implement the method described in the first aspect or any of the above methods when executing the computer program.

[0057] The energy storage planning method, apparatus, electronic device, and storage medium provided in this application first obtain the target load power of the electrical equipment and the target power generation of the energy storage device within a preset future time period. Then, based on the target load power, target power generation, energy storage device usage cost information, and the estimated lifespan of the energy storage device, the method determines the first configuration performance information and first charge / discharge power information of the energy storage device within the preset future time period. Finally, if the deviation between the estimated lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, the first configuration performance information and the first charge / discharge power information are determined as the energy storage planning information. The theoretical lifespan is determined based on the first charge / discharge power information and the estimated lifespan. This technical solution, through comprehensive analysis of the target load power, target power generation, equipment usage cost, and estimated lifespan, and based on the condition that the deviation between the estimated lifespan and the theoretical lifespan is less than a threshold, determines reasonable energy storage device configuration information and charge / discharge power information, ensuring the coordination between the energy storage planning scheme and the energy storage lifespan, and achieving the technical effect of determining an accurate energy storage planning scheme. Attached Figure Description

[0058] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0059] Figure 1 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 1 ;

[0060] Figure 2 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 2 ;

[0061] Figure 3 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 3 ;

[0062] Figure 4A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 4 ;

[0063] Figure 5 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 5 ;

[0064] Figure 6 This is a schematic diagram of the energy storage planning device provided in the embodiments of this application;

[0065] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0066] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0067] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0068] Before introducing the embodiments of this application, the application background of the embodiments of this application will be explained first:

[0069] New energy storage refers to energy storage devices or systems, excluding pumped hydro storage, whose primary form is power output and which provide services to external users. New energy storage includes power source-side energy storage, grid-side energy storage, and user-side energy storage. Power source-side energy storage refers to energy storage facilities installed and connected within conventional power plants, wind farms, photovoltaic power stations, and other power generation sites. Grid-side energy storage refers to energy storage facilities built at dedicated sites and directly connected to the public power grid. User-side energy storage refers to energy storage facilities built on or near user premises. Currently, user-side energy storage applications cover specific scenarios such as industrial parks, commercial buildings, and residential users. By combining the user's own electricity load characteristics, the power generation capacity of distributed photovoltaic systems, and the conditions of user-side time-of-use pricing, and configuring user-side energy storage equipment, and rationally setting energy storage charging and discharging strategies, the economic costs of ensuring local consumption of distributed renewable energy and reducing user-side electricity purchase costs can be achieved.

[0070] Time-of-use (TOU) pricing mechanisms in user-side energy storage can encourage users to consume more electricity during off-peak hours and shift some electricity consumption during peak hours, helping to reduce the peak-valley load difference in the power system. Therefore, TOU price arbitrage is the main operating model for user-side energy storage. Furthermore, energy storage allocation can potentially reduce demand charges. The main factors influencing user-side energy storage allocation calculations include: user load demand, characteristics of distributed renewable energy generation, TOU pricing, demand charges, energy storage investment and operation costs, and energy storage losses. For users, it is necessary to calculate the costs and overall benefits of energy storage to determine a reasonable planning scheme for user-side energy storage.

[0071] In existing technologies, the energy storage planning scheme is calculated based on factors such as user load demand, new energy power generation patterns, and time-of-use pricing, to estimate the electricity cost savings over the entire lifecycle of the user-side energy storage system, as well as the investment, construction, and operation costs of the energy storage system.

[0072] However, existing technologies consider too few factors affecting energy storage planning, resulting in inaccurate energy storage planning schemes.

[0073] To address the technical problems existing in the prior art, the inventors of this application propose the following: The existing technology does not comprehensively consider the factors affecting energy storage, resulting in inaccurate energy storage planning schemes. If the energy storage planning scheme can be designed by comprehensively considering the factors affecting energy storage, the above problems can be solved. Therefore, this application introduces a closed-loop iterative optimization mechanism for energy storage lifetime and energy storage planning scheme design. By comparing the deviation between the expected lifetime of energy storage and the theoretical lifetime of energy storage within the expected future timeframe, and based on the comparison between the deviation and a preset threshold, the configuration performance information and charging / discharging power information of the energy storage are iteratively calculated and adjusted until the expected lifetime of energy storage and the theoretical lifetime of energy storage meet the threshold range, or the number of iterations reaches the upper limit. Ultimately, accurate energy storage planning information that takes into account the impact of the entire energy storage lifecycle can be obtained.

[0074] The technical solution of this application will now be described in detail through specific embodiments. It should be noted that the following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0075] It is worth noting that the application fields of the energy storage planning method, device, electronic equipment and storage medium provided in the embodiments of this application are not limited.

[0076] Figure 1 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 1 ,like Figure 1 As shown, the method may include the following steps:

[0077] S1. Obtain the target load power of electrical equipment and the target power generation power of energy storage equipment within a preset time period in the future.

[0078] In this step, based on the historical load power of electrical equipment and the power generation of energy storage equipment, the target load power of electrical equipment and the target power generation of energy storage equipment for the future period are determined, which are used for the planning of charging and discharging strategies for subsequent energy storage planning.

[0079] For example, the future preset duration refers to the planning period for energy storage on the user side.

[0080] The target load power is determined based on the load power of the electrical equipment and the charging and discharging capacity of the energy storage system. The target load power can meet the load demand of the electrical equipment to the greatest extent and save users' electricity costs.

[0081] The target power generation capacity refers to the rational scheduling of the energy storage system to discharge during peak demand periods and charge during off-peak periods, based on the power generation capacity of the energy storage equipment, so as to provide power support for electricity demand.

[0082] S2. Based on the target load power, target power generation, energy storage device usage cost information, and energy storage device expected lifespan, determine the first configuration performance information and first charge / discharge power information of the energy storage device within a preset future time period.

[0083] In this step, factors affecting energy storage planning are comprehensively considered, including target load power, target power generation, energy storage equipment usage cost information, and the expected lifespan of energy storage equipment. The first configuration performance information and the first charge / discharge power information of the energy storage equipment within a preset time period are determined so that the first configuration performance information and the first charge / discharge power information can optimize economic costs while meeting the energy storage planning load requirements.

[0084] For example, the cost information for energy storage devices includes the purchase cost, maintenance cost, and operating cost. The expected lifespan of the energy storage device determines the number of times it can be used and the charging / discharging frequency during its lifespan within the planning period.

[0085] S3. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, then the first configuration performance information and the first charge / discharge power information are determined as the planning information for energy storage.

[0086] The theoretical lifespan is determined based on the first charge / discharge power information and the expected lifespan.

[0087] In this step, the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is calculated. If the deviation is less than a preset deviation threshold, it indicates that the energy storage planning scheme corresponding to the theoretical lifespan is the optimal scheme, thereby determining the first configuration performance information and the first charge / discharge power information as the specific planning information for energy storage.

[0088] In one possible implementation, the preset deviation threshold is 0.5 years.

[0089] For example, the expected lifespan is 10 years, the theoretical lifespan is 9 years, and the deviation between the expected lifespan and the theoretical lifespan is 1 year.

[0090] Optionally, based on the above embodiments, the method further includes:

[0091] S4. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical lifespan to the new expected lifespan and repeat steps S2-S4 until the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than the preset deviation threshold or the number of iterations reaches the preset number threshold.

[0092] In this step, the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is calculated. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is greater than or equal to a preset deviation threshold, the theoretical lifespan is updated to a new expected lifespan. Then, the new expected lifespan is input into steps S2-S4 to perform a new round of iterative calculation of the first configuration performance information and the first charge / discharge power information of the energy storage device, until the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than the preset deviation threshold, or the number of iterations reaches a preset number threshold.

[0093] The number of iterations refers to the number of times the expected lifespan is updated, which can be adjusted according to the actual application scenario.

[0094] In one possible implementation, the number of iterations is 50.

[0095] For example, the theoretical lifespan of an energy storage device can usually be determined based on the cumulative number of usable cycles. The lifespan is determined when the cumulative equivalent cycle count reaches the cumulative usable cycle count. It will then be decommissioned, and the duration of operation during this period is its lifespan. Within the planning period, the cumulative equivalent number of cycles up to year n can be calculated from the cumulative value based on the charging and discharging power on weekdays and non-weekdays.

[0096] (1)

[0097] In the formula, This represents the cumulative equivalent number of cycles up to year k; The number of hours in a running day; The maximum configured capacity for user-side energy storage. and These are the sets of working days and non-working days for each year within the planning period. and The charging and discharging power of the user-side energy storage on the working day of the jth month of the kth year, respectively, can be calculated by combining the following formulas (3)-(14), (28), (29), and (31). and The charging and discharging power of the user-side energy storage on the non-working day of the month of year k and time period t are respectively, which can be calculated by the following formulas (15)-(26), (27), (30) and (31).

[0098] When the cumulative value ≥ and ≤ When this occurs, it indicates that the energy storage will be decommissioned in year k. In the planning scheme, the theoretical lifespan of the energy storage is:

[0099] (2)

[0100] In the formula, This represents the equivalent charge-discharge cycle count up to year n-1. The denominator of the above formula refers to the portion of the energy storage's lifespan less than one year if the cumulative equivalent cycle count has reached the maximum usable count before year n is reached.

[0101] Because there may be a significant deviation between the theoretical lifespan obtained from the planning scheme and the estimated lifespan set in the planning scheme, the accuracy and rationality of the planning scheme may be lacking. The theoretical lifespan can be updated to a new estimated lifespan, and then the new estimated lifespan can be input into steps S2-S4 to perform a new round of iterative calculations on the first configuration performance information and the first charge / discharge power information of the energy storage device, until the deviation between the estimated lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, or the number of iterations reaches a preset threshold.

[0102] S5. The first configuration performance information and the first charge / discharge power information corresponding to the deviation being less than the preset deviation threshold or the number of iterations reaching the preset number threshold are used as the energy storage planning information.

[0103] In this step, if the deviation between the expected lifespan and the theoretical lifespan obtained from the above iterative calculation process is less than a preset deviation threshold or the number of iterations reaches a preset number threshold, then the first configuration performance information and the first charge / discharge power information corresponding to the deviation being less than the preset deviation threshold or the number of iterations reaching the preset number threshold are saved, and the above information is used as the planning information for energy storage.

[0104] The above steps ensure that energy storage planning meets the target electricity demand of users and improve the accuracy and effectiveness of energy storage planning by continuously iterating and optimizing the lifespan of energy storage.

[0105] The energy storage planning method provided in this application first obtains the target load power of electrical equipment and the target power generation of energy storage equipment within a preset future time period. Then, based on the target load power, target power generation, energy storage equipment usage cost information, and the estimated lifespan of the energy storage equipment, it determines the first configuration performance information and first charge / discharge power information of the energy storage equipment within the preset future time period. Finally, if the deviation between the estimated lifespan and the theoretical lifespan of the energy storage equipment is less than a preset deviation threshold, the first configuration performance information and the first charge / discharge power information are determined as the energy storage planning information. The theoretical lifespan is determined based on the first charge / discharge power information and the estimated lifespan. This technical solution, through comprehensive analysis of the target load power, target power generation, equipment usage cost, and estimated lifespan, and based on the condition that the deviation between the estimated lifespan and the theoretical lifespan is less than a threshold, determines reasonable energy storage equipment configuration information and charge / discharge power information, ensuring the coordination between the energy storage planning scheme and the energy storage lifespan, and achieving the technical effect of determining an accurate energy storage planning scheme.

[0106] Based on the above embodiments, Figure 2 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 2 ,like Figure 2 As shown, step S2 may include the following steps:

[0107] S21. Based on the target load power, target power generation, energy storage device usage cost information, energy storage device expected lifespan, first constraint condition, and second constraint condition, determine the first configuration performance information and first charge / discharge power information of the energy storage device within a preset future time period.

[0108] The usage cost information includes: the footprint of the energy storage equipment and the energy storage configuration power standard per unit footprint; the target power generation includes: the distributed power generation of the energy storage equipment within a preset future time period; the target load power includes: the power demand of the electrical equipment within a preset future time period; the first constraint is determined based on the footprint and energy storage configuration power standard; the second constraint is determined based on the energy storage configuration power standard, charging and discharging power, and upper and lower limits under state of charge.

[0109] In this step, while considering factors influencing energy storage planning such as target load power, target power generation, energy storage equipment usage cost information, and the expected lifespan of energy storage equipment, first and second constraints are added to constrain the energy storage planning. This ensures that the energy storage planning meets the requirements for energy storage land area and that the charging and discharging power is within the effective range of the energy storage equipment. Thus, the first configuration performance information and the first charging and discharging power information of the energy storage equipment within a preset time period in the future are comprehensively determined, and the first configuration performance information and the first charging and discharging power information are used as the planning information for energy storage.

[0110] Optionally, the future preset duration in step S21 includes: a first preset duration corresponding to working days and a second preset duration corresponding to non-working days;

[0111] Accordingly, the target load power includes: the first load power corresponding to the first preset duration and the second load power corresponding to the second preset duration, and the target power generation includes: the first power generation corresponding to the first preset duration and the second power generation corresponding to the second preset duration.

[0112] For example, the target load power during the planning period (i.e., the future preset duration) includes the first load power (i.e., the weekday load power) and the second load power (i.e., the non-weekday load power), and the target power generation during the planning period includes the first power generation (i.e., the weekday power generation) and the second power generation (i.e., the non-weekday power generation).

[0113] The aforementioned power generation capacity refers to the distributed power generation capacity of the energy storage device.

[0114] The energy storage planning method provided in this application determines the first configuration performance information and first charge / discharge power information of the energy storage device within a preset future timeframe based on the target load power, target power generation, operating cost information of the energy storage device, expected lifespan of the energy storage device, a first constraint, and a second constraint. This technical solution comprehensively considers various factors affecting energy storage and the constraints to determine the first configuration performance information and first charge / discharge power information of the energy storage device. The entire process requires gradual optimization to meet the constraints, ensuring that the determined energy storage planning scheme guarantees the reliability and economy of the energy storage device in actual operation.

[0115] Based on the above embodiments, Figure 3 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 3 ,like Figure 3 As shown, step S21 may include the following steps:

[0116] S31. Based on the first load power, the first power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, the configuration capacity, the charging power, and the discharging power for the working day.

[0117] The first configuration performance information includes: the configuration power and configuration capacity on a working day; the first charge / discharge power information includes: the charging power and discharging power on a working day.

[0118] In this step, the factors that influence and constrain energy storage planning, such as the first load power (i.e., the working day load power), the first power generation (i.e., the working day power generation), the usage cost information of the energy storage equipment, the expected lifespan, the first constraint condition, and the second constraint condition, are comprehensively considered to determine the working day configuration power, working day configuration capacity, working day charging power, and working day discharging power as energy storage planning information.

[0119] For example, step S31 is implemented as follows:

[0120] The solution function corresponding to energy storage planning information can be expressed by the following formula:

[0121] (3)

[0122] In the formula, This refers to the final energy storage planning information (specifically including the configured power, configured capacity, charging power, and discharging power for weekdays, etc.). This represents the total electricity purchase cost for the user side after distribution and storage. For information on the cost of using energy storage, To save on electricity costs.

[0123] in, It can be obtained using the following formula:

[0124] (4)

[0125] In the formula, For the user-side time-of-use electricity price during period t, The target load power for time period t on the working day of the jth month of the kth year within the planning period. This represents the target load power for the non-working day t in the j-th month of the k-th year within the planning period.

[0126] in, and They can be expressed by the following formulas:

[0127] (5)

[0128] (6)

[0129] In the above formula, and These represent the maximum power and maximum demand load power in year k, respectively. The second load power during the t-th time period of a working day in month j. The second load power during the t-th time period on a non-working day in month j. This refers to the second power generation capacity during the t-th time period within a working day of month j. This represents the second power generation during the t-th time period on a non-working day in month j.

[0130] Since configuring energy storage alters a user's original peak-valley load characteristics, the actual electricity demand before and after the configuration changes. Therefore, the savings in demand-based electricity costs can be expressed as:

[0131] (7)

[0132] In the formula, This is the monthly demand-based electricity pricing standard; and These represent the actual load demand of users in month j of year k, considering both the allocation and storage requirements and the period before and after the allocation and storage requirements.

[0133] in Let represent the actual demand load power on the working day of the jth month of the kth year after the allocation and storage, and its calculation formula (8) is as follows:

[0134]

[0135] In the formula, and These represent the charging and discharging power of user-side energy storage during the first time period on a working day in the jth month of the kth year.

[0136] in The actual demand load power on the working day of the j-th month of the k-th year prior to the allocation and storage is calculated using the following formula:

[0137] (9)

[0138] The first constraint mentioned above can be expressed by the following formula:

[0139] (10)

[0140] In the formula, The power capacity configured for energy storage planning; Energy storage power standards corresponding to a unit area of ​​land; Allow users to provide the floor space required for energy storage.

[0141] The second constraint mentioned above includes energy storage operating power constraint and energy storage state of charge constraint, wherein the energy storage operating power constraint can be expressed by the following formula:

[0142] (11)

[0143] In the formula, This represents the charging state of energy storage in the k-th year, j-th month, t-th time period (0-1 variable). The value is 1, during the discharge state. It is 0.

[0144] The energy storage state of charge constraints can be expressed by the following three formulas:

[0145] (12)

[0146] (13)

[0147] (14)

[0148] Of the three formulas above, This represents the state of charge of the stored energy at each time period t. and These represent the upper and lower limits of the energy storage state of charge, respectively. and These represent constraints that ensure the state of charge is equal during the first and last periods of the working day in the j-th month of the k-th year. These can be set according to the actual application scenario. The discharge efficiency of energy storage (i.e., when the stored energy is discharged to the outside) = Electricity released to the outside / Electricity stored internally.

[0149] In summary, based on the above formulas (3)-(14), the working day configuration power in step S31 can be obtained. Weekday configuration capacity Weekday charging power and weekday discharge power The information corresponding to the above four parameters is the energy storage planning information for weekdays during the planning period.

[0150] Optionally, step S31 can be implemented as follows:

[0151] Step 1: Based on the second load power, the second power generation, usage cost information, expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for non-working days.

[0152] The first configuration performance information includes: the configuration power and configuration capacity on non-working days; the first charge and discharge power information includes: the charging power on non-working days and the discharge power on non-working days.

[0153] In this step, factors that influence and constrain energy storage planning, such as the second load power (i.e., non-working day load power), the second power generation (i.e., non-working day power generation), the usage cost information of energy storage equipment, the expected lifespan, the first constraint, and the second constraint, are comprehensively considered to determine the configuration power, configuration capacity, charging power, and discharging power on non-working days as energy storage planning information.

[0154] For example, the specific implementation of step 1 is as follows:

[0155] The solution function corresponding to energy storage planning information can be expressed by the following formula:

[0156] (15)

[0157] In the formula, This refers to the final energy storage planning information (specifically including the configured power, configured capacity, charging power, and discharging power on non-working days). This represents the total electricity purchase cost for the user side after distribution and storage. For information on the cost of using energy storage, To save on electricity costs.

[0158] in, It can be obtained using the following formula:

[0159] (16)

[0160] In the formula, For the user-side time-of-use electricity price during period t, The target load power for time period t on the working day of the jth month of the kth year within the planning period. This represents the target load power for the non-working day t in the j-th month of the k-th year within the planning period.

[0161] in, and They can be expressed by the following formulas:

[0162] (17)

[0163] (18)

[0164] In the above formula, and These represent the maximum power and maximum demand load power in year k, respectively. The second load power during the t-th time period of a working day in month j. The second load power during the t-th time period on a non-working day in month j. This refers to the second power generation capacity during the t-th time period within a working day of month j. This represents the second power generation during the t-th time period on a non-working day in month j.

[0165] Since configuring energy storage alters a user's original peak-valley load characteristics, the actual electricity demand before and after the configuration changes. Therefore, the savings in demand-based electricity costs can be expressed as:

[0166] (19)

[0167] In the formula, This is the monthly demand-based electricity pricing standard; and These represent the actual load demand of users in month j of year k, considering both the allocation and storage requirements and the period before and after the allocation and storage requirements.

[0168] in, Let represent the actual demand load power on a non-working day in the j-th month of the k-th year after the allocation and storage, and its calculation formula (20) is as follows:

[0169]

[0170] In the formula, and These represent the charging and discharging power of user-side energy storage during the first time period on a working day in the j-th month of year k. and These represent the maximum power value and the maximum demand load power in year k, respectively.

[0171] in, The actual demand load power on the working day of the j-th month of the k-th year prior to the allocation and storage is calculated using the following formula:

[0172] (twenty one)

[0173] The first constraint mentioned above can be expressed by the following formula:

[0174] (twenty two)

[0175] In the formula, The power configured for energy storage planning (a variable to be solved in the model); Energy storage power standards corresponding to a unit area of ​​land; Allow users to provide the floor space required for energy storage.

[0176] The second constraint mentioned above includes energy storage operating power constraint and energy storage state of charge constraint, wherein the energy storage operating power constraint can be expressed by the following formula:

[0177] (twenty three)

[0178] In the formula, This represents the charging state of energy storage in the k-th year, j-th month, t-th time period (0-1 variable). The value is 1, during the discharge state. It is 0.

[0179] The energy storage state of charge constraints can be expressed by the following three formulas:

[0180] (twenty four)

[0181] (25)

[0182] (26)

[0183] Of the three formulas above, This represents the state of charge of the stored energy at each time period t. and These represent the upper and lower limits of the energy storage state of charge, respectively. and These represent constraints that ensure the state of charge is equal at the beginning and end of the operating day, and can be set according to the actual application scenario.

[0184] In summary, based on the above formulas (15)-(26), the non-working day configuration power in step 1 can be obtained. Non-working day configuration capacity Charging power on non-working days and non-working day discharge power The information corresponding to the above four parameters is the energy storage planning information for non-working days during the planning period.

[0185] The energy storage planning method provided in this application determines the configuration power, configuration capacity, charging power, and discharging power for a workday based on a first load power, a first power generation, usage cost information, expected lifespan, a first constraint, and a second constraint. This technical solution can obtain an energy storage planning scheme for workdays within the planning period, ensuring that the energy storage system can accurately plan the energy storage configuration according to the user's load demand and the power generation capacity of the energy storage equipment, thereby improving the efficiency of the energy storage system while adhering to the physical limitations and constraints of the energy storage equipment.

[0186] Based on the above embodiments, Figure 4 A flowchart illustrating the energy storage planning method provided in this application embodiment. Figure 4 ,like Figure 4 As shown, step S1 may include the following steps:

[0187] S41. Obtain the first load power of the electrical equipment and the first power generation power of the energy storage device within the historical time period.

[0188] In this step, historical power usage and generation data are extracted from the energy storage monitoring system to obtain the first load power of the electrical equipment and the first power generation of the energy storage equipment, providing reliable data support for subsequent energy storage planning.

[0189] For example, historical duration refers to any period of time greater than or equal to one year prior to the current point in time. The energy storage monitoring system can be a smart meter or load monitoring device, power management platform, monitoring and data acquisition system, etc.

[0190] In one possible implementation, the first load power of electrical equipment and the first power generation of energy storage equipment over a historical period can be the first load power and the first power generation data over the past 5 years.

[0191] Here, the first load power represents the load demand of electrical equipment at different times within a historical period. The first generation power represents the distributed generation power value of energy storage equipment at different times within a historical period.

[0192] S42. Based on the least squares algorithm, process the first load power and the first power generation to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage equipment within a preset time period.

[0193] In this step, the prediction method based on the least squares algorithm is used to fit the first load power and the first power generation to accurately predict the load reference power and power generation reference power within a preset time period. This can achieve the technical effect of accurately estimating the load change trend in the short term and providing data support for energy storage planning.

[0194] The load baseline power is used to predict the power demand of electrical equipment during the planning period. The generation baseline power is the distributed generation baseline power, used to predict the generation capacity of energy storage devices during the planning period.

[0195] The aforementioned load reference power includes weekday load reference power and non-weekday load reference power, and the power generation reference power includes weekday power generation reference power and non-weekday power generation reference power.

[0196] For example, step S42 is specifically implemented as follows:

[0197] Let the sample sets of first load power for working days and non-working days in month j within the historical time period be denoted as follows: and The sample sets of the first power generation on working days and non-working days in month j are respectively denoted as and Where the subscript j represents the month, the subscript d represents the date number, and the subscript t represents the t-th time period within the day. This represents the total number of data points across different time periods.

[0198] The formula for calculating the weekday load baseline power using the least squares algorithm is as follows:

[0199] (27)

[0200] In the formula, Represents the set of working days in month j; This indicates the number of working days in month j; This indicates the number of time periods per day.

[0201] Solving the above equation yields the load baseline power set for the working day of month j. .

[0202] Similarly, based on the above load baseline power set, the load baseline power set for the non-working days of month j can be obtained as follows: .

[0203] The formula for calculating the benchmark power generation on weekdays using the least squares algorithm is as follows:

[0204] (28)

[0205] In the formula, Represents the set of working days in month j; This indicates the number of working days in month j; This indicates the number of time periods per day.

[0206] Solving the above equation yields the set of base power generation for working days in month j. .

[0207] Similarly, following the solution process for the power generation baseline set for working days described above, the power generation baseline set for non-working days in month j can be obtained as follows: .

[0208] S43. Normalize the load reference power and the power generation reference power to obtain the second load power and the second power generation reference power.

[0209] In this step, the benchmark load power on weekdays, benchmark load power on non-weekdays, benchmark power generation on weekdays, and benchmark power generation on non-weekdays are normalized to obtain the target load power and target power generation for weekdays and non-weekdays, respectively.

[0210] For example, the per-unit normalization of the benchmark power generation for weekdays is performed using the following formula:

[0211] (29)

[0212] In the formula: The user's maximum annual power generation capacity, The set of the second generating power on the working day of the j-th month after per-unit processing can be represented as: , The per-unit value of the second power generation during the t-th time period on a working day of month j.

[0213] The per-unit normalization process for the weekday load baseline power is as follows:

[0214] (30)

[0215] In the formula: The maximum power of the user's annual load. The set of the second load power on the working day of the j-th month after per-unit processing can be represented as: , This is the per-unit value of the second load power during the t-th time period on a working day in month j.

[0216] By solving formulas (27)-(30), the second load power (including the second load power on working days and the second load power on non-working days) and the second power generation power (including the second power generation power on working days and the second power generation power on non-working days) can be obtained.

[0217] S44. Determine the target load power and target power generation based on the second load power, the second power generation, the maximum load demand of the electrical equipment, and the maximum power generation of the energy storage equipment.

[0218] In this step, the target load power and target power generation are determined based on the second load power on weekdays, the second load power on non-weekdays, the second power generation on weekdays, the second power generation on non-weekdays, the maximum load demand, and the maximum power generation.

[0219] For example, the formulas for calculating the target load power on weekdays, the target load power on non-weekdays, the target power generation on weekdays, and the target power generation on non-weekdays are shown below:

[0220] (31)

[0221] In the above formula, , These represent the maximum power output and maximum load demand of distributed generation in year k within the planning period, respectively. The second load power during the t-th time period within a working day of month j; The second load power during the t-th time period on a non-working day in month j; This refers to the second power generation capacity during the t-th time period within a working day of month j. This refers to the second power generation capacity during the t-th time period on a non-working day in month j. , These are the target power generation set and the target load power set for the working day of the jth month of the kth year within the planning period, respectively. , These are the sets of target power generation and target load power for the non-working day of month j in year k.

[0222] The energy storage planning method provided in this application first obtains the first load power of electrical equipment and the first power generation of energy storage equipment within a historical time period. Then, based on the least squares algorithm, the first load power and the first power generation are processed to obtain the load reference power of electrical equipment and the power generation reference power of energy storage equipment within a preset future time period. The load reference power and the power generation reference power are then normalized to obtain the second load power and the second power generation reference power. Finally, based on the second load power, the second power generation, the maximum load demand of electrical equipment, and the maximum power generation of energy storage equipment, the target load power and the target power generation are determined. This technical solution processes historical power data using the least squares algorithm and then normalizes the obtained load reference power and power generation reference power, which helps to unify the representation of power data. By considering the maximum load demand of electrical equipment and the maximum power generation of energy storage equipment, combined with the normalized load power and power generation, it can ensure the balance between power demand and power generation capacity in actual operation, and achieve efficient, accurate, and flexible power load and power generation prediction, providing important support for subsequent energy storage planning.

[0223] In one possible implementation, Figure 5 A flowchart illustrating the energy storage planning method provided in the embodiments of this application. Figure 5 , combined Figure 5 The specific process of the energy storage planning method provided in the embodiments of this application is described below:

[0224] Step 1: Obtain the historical load power of electrical equipment and the power generation power of energy storage equipment.

[0225] Step 2: Use the least squares algorithm to fit the baseline power for weekdays and non-weekdays and then normalize it.

[0226] Step 3: Combine the expected growth of electricity load and distributed power sources to calculate the target load power and target power generation power during the planning period.

[0227] Step 4: Construct a user-side energy storage planning model with the goal of minimizing costs throughout the entire life cycle.

[0228] Step 5: Input the construction and operation costs of the energy storage, the time-of-use electricity price, the demand-based electricity price standard, and set the theoretical lifespan of the energy storage.

[0229] In this step, the parameters from step 5 are input into the planning model from step 4.

[0230] Step 6: Solve the model to obtain the energy storage configuration information, as well as the charging and discharging power information of the energy storage on weekdays and non-weekdays during the planning period.

[0231] In this step, the target load power and target power generation obtained in step 3, as well as the parameters in step 5, are input into the energy storage planning model in step 4 to obtain the energy storage configuration information and the charging and discharging power information of energy storage on weekdays and non-weekdays during the planning period.

[0232] Step 7: Based on the cumulative equivalent cycle count and energy storage charging power information, obtain the theoretical lifespan of the energy storage within the planning period.

[0233] Step 8: Check whether the deviation between the theoretical lifespan and the expected lifespan during the planning period is less than the threshold range.

[0234] In this step, if the deviation between the theoretical lifespan and the expected lifespan during the planning period is less than the threshold range, proceed to step 11; if the deviation between the theoretical lifespan and the expected lifespan during the planning period is greater than or equal to the threshold range, proceed to step 9.

[0235] Step 9: Check if the number of iterations for the planning scheme meets the upper limit for the number of iterations.

[0236] In this step, if the number of iterations meets the upper limit of the number of iterations, then proceed to step 11; if the number of iterations does not meet the upper limit of the number of iterations, then proceed to step 10.

[0237] Step 10: Set the theoretical lifespan of the energy storage to the new expected lifespan.

[0238] Step 11: Select the energy storage planning scheme corresponding to the theoretical lifespan as the optimal planning scheme.

[0239] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0240] Figure 6 This is a schematic diagram of the energy storage planning device provided in the embodiments of this application, as shown below. Figure 6 As shown, the device includes:

[0241] The acquisition module 61 is used to execute S1 to acquire the target load power of the electrical equipment and the target power generation power of the energy storage device within a preset time period in the future.

[0242] The first processing module 62 is used to execute S2, which determines the first configuration performance information and the first charge and discharge power information of the energy storage device within a preset time period in the future, based on the target load power, the target power generation, the usage cost information of the energy storage device, and the expected lifespan of the energy storage device.

[0243] The first determining module 63 is used to execute S3. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than a preset deviation threshold, then the first configuration performance information and the first charge / discharge power information are determined as the planning information for energy storage. The theoretical lifespan is determined based on the first charge / discharge power information and the expected lifespan.

[0244] In one possible implementation, the device further includes:

[0245] The second processing module is used to execute S4. If the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is greater than or equal to a preset deviation threshold, the theoretical lifespan is updated to the new expected lifespan, and S2-S4 are repeated until the deviation between the expected lifespan and the theoretical lifespan of the energy storage device is less than the preset deviation threshold, or the number of iterations reaches a preset number threshold. The number of iterations is the number of times the expected lifespan is updated.

[0246] The second determining module is used to execute S5, and to use the first configuration performance information and the first charge and discharge power information corresponding to the deviation being less than a preset deviation threshold or the number of iterations reaching a preset number threshold as the energy storage planning information.

[0247] In one possible implementation, the first processing module 62 is specifically used for:

[0248] Based on the target load power, target power generation, energy storage device usage cost information, energy storage device expected lifespan, first constraint condition, and second constraint condition, determine the first configuration performance information and first charge / discharge power information of the energy storage device within a preset future time period;

[0249] The usage cost information includes: the footprint of the energy storage equipment and the energy storage configuration power standard per unit footprint; the target power generation includes: the distributed power generation of the energy storage equipment within a preset future time period; the target load power includes: the power demand of the electrical equipment within a preset future time period; the first constraint is determined based on the footprint and energy storage configuration power standard; the second constraint is determined based on the energy storage configuration power standard, charging and discharging power, and upper and lower limits under state of charge.

[0250] In one possible implementation, the preset duration includes: a first preset duration corresponding to working days and a second preset duration corresponding to non-working days;

[0251] Accordingly, the target load power includes: the first load power corresponding to the first preset duration and the second load power corresponding to the second preset duration, and the target power generation includes: the first power generation corresponding to the first preset duration and the second power generation corresponding to the second preset duration.

[0252] In one possible implementation, the first processing module 62 determines, based on the target load power, target power generation, energy storage device usage cost information, energy storage device expected lifespan, first constraint, and second constraint, the first configuration performance information and the first charge / discharge power information of the energy storage device within a preset future time period, specifically for:

[0253] Based on the first load power, the first power generation, the usage cost information, the expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for the workday.

[0254] The first configuration performance information includes: the configuration power and configuration capacity on a working day; the first charge / discharge power information includes: the charging power and discharging power on a working day.

[0255] In one possible implementation, the first processing module 62 determines, based on the target load power, target power generation, energy storage device usage cost information, energy storage device expected lifespan, first constraint, and second constraint, the first configuration performance information and the first charge / discharge power information of the energy storage device within a preset future time period, specifically for:

[0256] Based on the second load power, the second power generation, usage cost information, expected lifespan, the first constraint, and the second constraint, determine the configuration power, configuration capacity, charging power, and discharging power for non-working days.

[0257] The first configuration performance information includes: the configuration power and configuration capacity on non-working days; the first charge and discharge power information includes: the charging power on non-working days and the discharge power on non-working days.

[0258] In one possible implementation, the acquisition module 61 is specifically used for:

[0259] Obtain the first load power of electrical equipment and the first power generation power of energy storage equipment within a historical time period;

[0260] Based on the least squares algorithm, the first load power and the first power generation are processed to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage equipment within a preset time period in the future.

[0261] The load reference power and the power generation reference power are normalized to obtain the second load power and the second power generation power.

[0262] The target load power and target power generation are determined based on the second load power, the second power generation, the maximum load demand of the electrical equipment, and the maximum power generation of the energy storage equipment.

[0263] The apparatus provided in this application embodiment can be used to execute the determination method in any of the above embodiments. Its implementation principle and technical effect are similar, and will not be described again here.

[0264] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented in software via processing element calls, while others are implemented in hardware. Additionally, these modules can be fully or partially integrated together, or implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through the integrated logic circuits in the hardware of the processor element or through software instructions.

[0265] Figure 7 This is a schematic diagram of the structure of the electronic device provided in the embodiments of this application, such as... Figure 7 As shown, the electronic device may include: a processor 71, a memory 72, and computer program instructions stored in the memory 72 and executable on the processor 71. When the processor 71 executes the computer program instructions, it implements the method provided in any of the foregoing embodiments.

[0266] Optionally, the various components of the electronic device can be connected via a system bus.

[0267] The memory 72 can be a separate memory unit or a memory unit integrated into the processor 71. The number of processors 71 can be one or more.

[0268] It should be understood that the processor 71 can be a Central Processing Unit (CPU), or other general-purpose processors 71, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor 71 can be a microprocessor 71, or any conventional processor 71. The steps of the method disclosed in this application can be directly manifested as being executed by the hardware processor 71, or being executed by a combination of hardware and software modules within the processor 71.

[0269] The system bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The system bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is used in the diagram, but this does not indicate that there is only one bus or one type of bus. Memory 72 may include Random Access Memory (RAM) 72, and may also include Non-Volatile Memory (NVM) 72, such as at least one disk storage device 72.

[0270] All or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a readable memory 72. When the program is executed, it performs the steps of the above method embodiments; and the aforementioned memory 72 (storage medium) includes: read-only memory 72 (ROM), RAM, flash memory 72, hard disk, solid-state hard disk, magnetic tape, floppy disk, optical disk, and any combination thereof.

[0271] The electronic device provided in this application embodiment can be used to execute the method provided in any of the above method embodiments. Its implementation principle and technical effect are similar, and will not be repeated here.

[0272] This application provides a computer-readable storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the above-described method.

[0273] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory, electrically erasable programmable read-only memory, erasable programmable read-only memory, programmable read-only memory, read-only memory, magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0274] Optionally, a readable storage medium can be coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. Both the processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components within the device.

[0275] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and the at least one processor can implement the above-described method when executing the computer program.

[0276] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. An energy storage planning method, characterized in that, The method comprises: S1, obtaining target load power of an electrical equipment and target power generation power of an energy storage device in a future preset time period; S2, determining first configuration performance information and first charging and discharging power information of the energy storage device in the future preset time period according to the target load power, the target power generation power, use cost information of the energy storage device, and a predicted service life length of the energy storage device; S3, if a deviation between the predicted service life length and a theoretical service life length of the energy storage device is less than a preset deviation threshold, determining that the first configuration performance information and the first charging and discharging power information are planning information of energy storage; S4, if the deviation between the predicted service life length and the theoretical service life length of the energy storage device is greater than or equal to the preset deviation threshold, updating the theoretical service life length to a new predicted service life length, and repeating steps S2-S4 until the deviation between the predicted service life length and the theoretical service life length of the energy storage device is less than the preset deviation threshold or an iteration number reaches a preset number threshold, the iteration number being a number of times of updating the predicted service life length; S5, taking the first configuration performance information and the first charging and discharging power information corresponding to the case that the deviation is less than the preset deviation threshold or the iteration number reaches the preset number threshold as the planning information of energy storage; wherein the theoretical service life length is determined in the following manner: calculating a cumulative equivalent cycle number based on the first charging and discharging power information, and determining that the energy storage device is retired when the cumulative equivalent cycle number reaches a cumulative available cycle number, and taking a running length corresponding thereto as the theoretical service life length.

2. The method of claim 1, wherein, The determination of the first configuration performance information and the first charging and discharging power information of the energy storage device in the future preset time period according to the target load power, the target power generation power, the use cost information of the energy storage device, and the predicted service life length of the energy storage device comprises: determining the first configuration performance information and the first charging and discharging power information of the energy storage device in the future preset time period according to the target load power, the target power generation power, the use cost information of the energy storage device, the predicted service life length of the energy storage device, a first constraint condition, and a second constraint condition; wherein the use cost information comprises an occupied area of the energy storage device and an energy storage configuration power standard corresponding to a unit occupied area; the target power generation power comprises distributed power generation power of the energy storage device in the future preset time period; the target load power comprises power demand of the electrical equipment in the future preset time period; the first constraint condition is determined according to the occupied area and the energy storage configuration power standard; and the second constraint condition is determined according to the energy storage configuration power standard, charging and discharging power, and upper and lower limit values in a state of charge.

3. The method of claim 2, wherein, The future preset time period comprises a first preset time period corresponding to a working day and a second preset time period corresponding to a non-working day. Correspondingly, the target load power includes a first load power corresponding to a first preset time length and a second load power corresponding to a second preset time length, and the target power generation power includes a first power generation power corresponding to the first preset time length and a second power generation power corresponding to the second preset time length.

4. The method of claim 3, wherein, The first configuration performance information and the first charging and discharging power information of the energy storage device in the future preset time length are determined according to the target load power, the target power generation power, use cost information of the energy storage device, a predicted service life length of the energy storage device, a first constraint condition, and a second constraint condition, and the method comprises the following steps of: determining a configuration power on weekdays, a configuration capacity on weekdays, a charging power on weekdays, and a discharging power on weekdays according to the first load power, the first power generation power, the use cost information, the predicted service life length, the first constraint condition, and the second constraint condition; wherein the first configuration performance information comprises the configuration power on weekdays and the configuration capacity on weekdays, and the first charging and discharging power information comprises the charging power on weekdays and the discharging power on weekdays.

5. The method of claim 3, wherein, The first configuration performance information and the first charging and discharging power information of the energy storage device in the future preset time length are determined according to the target load power, the target power generation power, use cost information of the energy storage device, a predicted service life length of the energy storage device, a first constraint condition, and a second constraint condition, and the method comprises the following steps of: determining a configuration power on non-weekdays, a configuration capacity on non-weekdays, a charging power on non-weekdays, and a discharging power on non-weekdays according to the second load power, the second power generation power, the use cost information, the predicted service life length, the first constraint condition, and the second constraint condition; wherein the first configuration performance information comprises the configuration power on non-weekdays and the configuration capacity on non-weekdays, and the first charging and discharging power information comprises the charging power on non-weekdays and the discharging power on non-weekdays.

6. The method according to any one of claims 1 to 5, characterized in that, The target load power of the electrical equipment and the target power generation power of the energy storage device in the future preset time length are obtained, and the method comprises the following steps of: obtaining a first load power of the electrical equipment and a first power generation power of the energy storage device in a historical time length; processing the first load power and the first power generation power based on a least square algorithm to obtain a load reference power of the electrical equipment and a power generation reference power of the energy storage device in the future preset time length; performing normalization processing on the load reference power and the power generation reference power to obtain a second load power and a second power generation power; determining the target load power and the target power generation power according to the second load power, the second power generation power, a maximum load demand of the electrical equipment, and a maximum power generation power of the energy storage device.

7. An energy storage planning apparatus, characterized by, The device comprises: an obtaining module configured to perform S1 and obtain a target load power of electrical equipment and a target power generation power of an energy storage device in a future preset time length; The first processing module is configured to perform S2 and determine first configuration performance information and first charge-discharge power information of the energy storage device within the future preset time length according to the target load power, the target power generation power, usage cost information of the energy storage device, and a predicted service life length of the energy storage device. The first determining module is configured to perform S3 and determine the first configuration performance information and the first charge-discharge power information as planning information of the energy storage if a deviation between the predicted service life length and a theoretical service life length of the energy storage device is less than a preset deviation threshold, and the theoretical service life length is determined in the following manner: calculating an accumulated equivalent cycle number based on the first charge-discharge power information, and determining that the energy storage device is retired when the accumulated equivalent cycle number reaches an accumulated available cycle number, and taking a corresponding operation time length as the theoretical service life length. The second processing module is configured to perform S4 and update the theoretical service life length to a new predicted service life length if the deviation between the predicted service life length and the theoretical service life length of the energy storage device is greater than or equal to the preset deviation threshold, and repeat steps S2-S4 until the deviation between the predicted service life length and the theoretical service life length of the energy storage device is less than the preset deviation threshold or an iteration number reaches a preset number threshold, the iteration number being a number of times of updating the predicted service life length. The second determining module is configured to perform S5 and take the first configuration performance information and the first charge-discharge power information corresponding to the condition that the deviation is less than the preset deviation threshold or the iteration number reaches the preset number threshold as planning information of the energy storage.

8. An electronic device, comprising: comprise: a processor, and a memory connected with the processor in communication; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by the processor to implement the method in any one of claims 1-6.

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