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

Abstract

The invention provides an energy storage planning method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining the target load power of electric equipment and the target power generation power of energy storage equipment in a future preset time period; according to the target load power, the target generation power, the use cost information of the energy storage equipment and the predicted life duration of the energy storage equipment, determining first configuration performance information and first charging and discharging power information of the energy storage equipment in a future preset duration; and finally, if the deviation between the predicted life duration and the theoretical life duration of the energy storage equipment is smaller than a preset deviation threshold value, determining the first configuration performance information and the first charging and discharging power information as energy storage planning information. According to the technical scheme, the coordination between the energy storage planning scheme and the energy storage life attenuation is ensured through the method, and the technical effect of determining the accurate energy storage planning scheme is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage, and in particular, to an energy storage planning method, device, electronic device, and storage medium. Background Art

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

[0003] In the prior art, mainly based on the user's load demand, new energy power generation law, time-of-use price, etc., the electricity cost savings during the entire life cycle after energy storage configuration on the user side and the investment, construction, and operation costs of energy storage configuration are estimated to calculate an accurate energy storage planning scheme.

[0004] However, the prior art considers too single factors affecting energy storage planning, and there is a technical problem of inaccurate energy storage planning schemes. Summary of the Invention

[0005] Embodiments of the present application provide an energy storage planning method, device, electronic device, and storage medium to solve problems such as inaccurate energy storage planning schemes in the prior art.

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

[0007] S1, obtaining the target load power of the electrical equipment and the target power generation power of the energy storage equipment within a preset future duration;

[0008] S2, determining first configuration performance information and first charge and discharge power information of the energy storage equipment within the preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage equipment, and the expected life duration of the energy storage equipment;

[0009] S3, if the deviation between the expected life duration and the theoretical life duration of the energy storage equipment is less than a preset deviation threshold, determining the first configuration performance information and the first charge and discharge power information as the energy storage planning information, where the theoretical life duration is determined based on the first charge and discharge power information and the expected life duration.

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

[0011] S4. If the deviation between the predicted service life duration and the theoretical service life duration of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical service life duration to the new predicted service life duration, and repeat steps S2 - S4 until the deviation between the predicted service life duration and the theoretical service life duration of the energy storage device is less than the preset deviation threshold, or the number of iterations reaches the preset number threshold, where the number of iterations is the number of times the predicted service life duration is updated.

[0012] S5. Use the first configuration performance information and the first charge - discharge power information corresponding to the situation where the deviation is less than the preset deviation threshold or the number of iterations reaches the preset number threshold as the planning information of the energy storage.

[0013] In a possible implementation manner, determining the first configuration performance information and the first charge - discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, and the predicted service life duration of the energy storage device includes:

[0014] Determine the first configuration performance information and the first charge - discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the predicted service life duration of the energy storage device, the first constraint condition, and the second constraint condition.

[0015] Among them, 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 duration; the target load power includes: the power demand of the electrical equipment within the future preset duration; the first constraint condition is determined according to the floor area and the energy storage configuration power standard; the second constraint condition is determined according to the energy storage configuration power standard, the charge - discharge power, and the upper and lower limits of the state of charge.

[0016] In a possible implementation manner, the future preset duration includes: the first preset duration corresponding to weekdays and the second preset duration corresponding to non - weekdays.

[0017] Correspondingly, 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 a possible implementation manner, determining the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset time period according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life of the energy storage device, the first constraint condition, and the second constraint condition includes:

[0019] Determining the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays according to the first load power, the first power generation, the usage cost information, the expected service life, the first constraint condition, and the second constraint condition;

[0020] Wherein, the first configuration performance information includes the configured power on weekdays and the configured capacity on weekdays; the first charge-discharge power information includes the charging power on weekdays and the discharging power on weekdays.

[0021] In a possible implementation manner, determining the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset time period according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life of the energy storage device, the first constraint condition, and the second constraint condition includes:

[0022] Determining the configured power on non-weekdays, the configured capacity on non-weekdays, the charging power on non-weekdays, and the discharging power on non-weekdays according to the second load power, the second power generation, the usage cost information, the expected service life, the first constraint condition, and the second constraint condition;

[0023] Wherein, the first configuration performance information includes the configured power on non-weekdays and the configured capacity on non-weekdays; the first charge-discharge power information includes the charging power on non-weekdays and the discharging power on non-weekdays.

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

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

[0026] Processing the first load power and the first power generation based on the least squares algorithm 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] Normalize the load reference power and the power generation reference power to obtain a second load power and a second power generation power;

[0028] Determine the target load power and the target power generation power according to the second load power, the second power generation power, the maximum load demand of the electrical equipment, and the maximum power generation power of the energy storage device.

[0029] In a second aspect, an embodiment of the present application provides an energy storage planning device, including:

[0030] An acquisition module, configured 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 future duration;

[0031] A first processing module, configured to execute S2 to determine the first configuration performance information and the first charge and discharge power information of the energy storage device within the preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage device, and the expected life duration of the energy storage device;

[0032] A first determination module, configured to execute S3. If the deviation between the expected life duration and the theoretical life duration of the energy storage device is less than a preset deviation threshold, determine the first configuration performance information and the first charge and discharge power information as the energy storage planning information, where the theoretical life duration is determined based on the first charge and discharge power information and the expected life duration.

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

[0034] A second processing module, configured to execute S4. If the deviation between the expected life duration and the theoretical life duration of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical life duration to a new expected life duration, and repeat steps S2 - S4 until the deviation between the expected life duration and the theoretical life duration of the energy storage device is less than the preset deviation threshold or the number of iterations reaches a preset number threshold, where the number of iterations is the number of times the expected life duration is updated;

[0035] A second determination module, configured to execute S5, and use the first configuration performance information and the first charge and discharge power information corresponding to when the deviation is less than the preset deviation threshold or the number of iterations reaches the preset number threshold as the energy storage planning information.

[0036] In a possible implementation manner, the first processing module is specifically configured to:

[0037] Determine the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition;

[0038] Among them, 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 duration; the target load power includes: the power demand of the electrical equipment within the future preset duration; the first constraint condition is determined according to the floor area and the energy storage configuration power standard; the second constraint condition is determined according to the energy storage configuration power standard, the charge-discharge power, and the upper and lower limits of the state of charge.

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

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

[0041] In a possible implementation manner, the first processing module determines the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition, and is specifically used for:

[0042] Determine the configuration power on a working day, the configuration capacity on a working day, the charging power on a working day, and the discharging power on a working day according to the first load power, the first power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition;

[0043] Among them, the first configuration performance information includes: the configuration power on a working day and the configuration capacity on a working day; the first charge-discharge power information includes: the charging power on a working day and the discharging power on a working day.

[0044] In a possible implementation manner, the first processing module determines first configuration performance information and first charge-discharge power information of the energy storage device within the preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, a first constraint condition, and a second constraint condition, and is specifically configured to:

[0045] Determine the configured power on non-working days, the configured capacity on non-working days, the charging power on non-working days, and the discharging power on non-working days according to the second load power, the second power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition;

[0046] Wherein, the first configuration performance information includes the configured power on non-working days and the configured capacity on non-working days; the first charge-discharge power information includes the charging power on non-working days and the discharging power on non-working days.

[0047] In a possible implementation manner, the obtaining module is specifically configured to:

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

[0049] Process the first load power and the first power generation based on the least squares algorithm to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage device within the preset future duration;

[0050] Perform per-unit processing on the load reference power and the power generation reference power to obtain a second load power and a second power generation;

[0051] Determine the target load power and the target power generation according to 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] In a third aspect, an embodiment of the present application provides an electronic device, including: a processor, and a memory communicatively connected to the processor;

[0053] The memory stores computer-executable instructions;

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

[0055] Fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect or any one of the ways above.

[0056] Fifth aspect, an embodiment of the present application provides a computer program. The computer program product includes a computer program, and the computer program is stored in a computer-readable storage medium. At least one processor can read the computer program from the computer-readable storage medium, and when the at least one processor executes the computer program, it can implement the method described in the first aspect or any one of the ways above.

[0057] The energy storage planning method, device, electronic device and storage medium provided by the embodiments of the present application first obtain the target load power of the electrical equipment and the target power generation power of the energy storage equipment within a preset future duration, and then determine the first configuration performance information and the first charge-discharge power information of the energy storage equipment within the preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage equipment, and the expected service life duration of the energy storage equipment. Finally, if the deviation between the expected service life duration and the theoretical service life duration of the energy storage equipment is less than a preset deviation threshold, it is determined that the first configuration performance information and the first charge-discharge power information are the planning information of the energy storage, and the theoretical service life duration is determined based on the first charge-discharge power information and the expected service life duration. Through the comprehensive analysis of the target load power, the target power generation power, the equipment usage cost, and the expected service life duration, and according to the condition that the deviation between the expected service life duration and the theoretical service life duration is less than the threshold, this technical solution 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 life, and achieving the technical effect of determining an accurate energy storage planning scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The drawings here are incorporated into the description and form a part of this description, showing embodiments consistent with the present application, and are used together with the description to explain the principles of the present application.

[0059] Figure 1 Schematic flowchart of the energy storage planning method provided by an embodiment of the present application Figure 1 ;

[0060] Figure 2 Schematic flowchart of the energy storage planning method provided by an embodiment of the present application Figure 2 ;

[0061] Figure 3 Schematic flowchart of the energy storage planning method provided by an embodiment of the present application Figure 3 ;

[0062] Figure 4Flow schematic of the energy storage planning method provided by the embodiment of the present application Figure 4 ;

[0063] Figure 5 Flow schematic of the energy storage planning method provided by the embodiment of the present application Figure 5 ;

[0064] Figure 6 Structural schematic diagram of the energy storage planning device provided by the embodiment of the present application;

[0065] Figure 7 Structural schematic diagram of the electronic device provided by the embodiment of the present application.

[0066] Through the above-mentioned drawings, the clear embodiments of the present application have been shown, and more detailed descriptions will be given in the following text. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Specific embodiments

[0067] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without making creative efforts fall within the scope of protection of the present application.

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

[0069] New energy storage refers to energy storage devices or systems that, except for pumped-storage energy storage, mainly output electricity and provide services externally. New energy storage includes power-side energy storage, grid-side energy storage, and user-side energy storage. Among them, power-side energy storage refers to energy storage facilities installed and connected inside conventional power plants, wind farms, photovoltaic power plants, and other power plants. Grid-side energy storage refers to energy storage facilities built on dedicated sites and directly connected to the public power grid. User-side energy storage refers to energy storage facilities built inside or adjacent to users' sites. Currently, the application of user-side energy storage has covered specific scenarios such as industrial parks, commercial buildings, and residential users. By combining the electricity load characteristics of users themselves, the power generation capacity of distributed photovoltaics, and the conditions of user-side time-of-use prices, after configuring user-side energy storage devices and reasonably setting energy storage charge and discharge strategies, effects such as ensuring the local consumption of distributed new energy and reducing the economic cost of users' electricity purchase expenses can be achieved.

[0070] The time-of-use electricity price mechanism in user-side energy storage can encourage users to consume more electricity during off-peak hours and transfer part of their electricity consumption during peak hours, which helps to reduce the peak-valley difference of the power system load. Therefore, time-of-use electricity price arbitrage is the main operation mode of user-side energy storage. In addition, energy storage configuration may reduce the demand charge. The main factors affecting the calculation conclusion of user-side energy storage configuration include: user load demand, characteristics of distributed new energy generation, time-of-use electricity price, demand charge, investment and operation costs of energy storage, loss situation of energy storage, etc. For the user side, it is necessary to calculate the cost of energy storage and the conclusion of comprehensive benefits to determine the reasonable planning scheme of user-side energy storage.

[0071] In the prior art, the electricity cost savings during the entire life cycle after user-side energy storage configuration and the investment and operation costs of energy storage configuration are mainly estimated based on the user's load demand, new energy generation law, time-of-use price, etc., and the energy storage planning scheme is calculated.

[0072] However, the prior art considers too single factors affecting energy storage planning, and there is a technical problem that the energy storage planning scheme is inaccurate.

[0073] In view of the technical problems existing in the prior art, the inventors of this application have the following ideas. For the problem that the prior art does not comprehensively consider the factors affecting energy storage and the obtained energy storage planning scheme is inaccurate, if the factors affecting energy storage can be comprehensively considered in the design of the energy storage planning scheme, the above problems can be solved. Therefore, this application introduces a closed-loop iterative optimization mechanism for energy storage life and energy storage planning scheme design. By comparing the deviation between the expected life duration of energy storage within the future expected duration and the theoretical life duration of energy storage, and according to the comparison between the deviation and the preset threshold, the configuration performance information and charge-discharge power information of energy storage are calculated and adjusted iteratively until the expected life duration of energy storage and the theoretical life duration of energy storage meet the threshold range, or the number of iterations reaches the upper limit. Finally, accurate energy storage planning information considering the impact of the entire life cycle of energy storage can be obtained.

[0074] Next, the technical solutions of this application will 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 repeated in some embodiments.

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

[0076] Figure 1 The flow diagram of the energy storage planning method provided in the embodiments of this application Figure 1 , as Figure 1 shown, this method may include the following steps:

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

[0078] In this step, based on the historical load power of the electrical equipment and the power generation of the energy storage equipment, determine the target load power of the electrical equipment and the target power generation of the energy storage equipment within the future duration, for the subsequent planning of the charge and discharge strategies for energy storage planning.

[0079] Exemplarily, the preset future duration refers to the planning period duration on the user side during energy storage planning.

[0080] The target load power is determined based on the load power of the electrical equipment and the charge and discharge capabilities of the energy storage system. The target load power can maximize the satisfaction of the load demand of the electrical equipment and save the user's electricity cost.

[0081] The target power generation refers to reasonably dispatching the energy storage system to discharge during peak demand periods and charge during valley periods according to the power generation capacity of the energy storage equipment, so as to provide power support for power demand.

[0082] S2. Determine the first configuration performance information and the first charge and discharge power information of the energy storage equipment within the preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage equipment, and the expected life duration of the energy storage equipment.

[0083] In this step, comprehensively consider the factors affecting energy storage planning, such as the target load power, the target power generation, the usage cost information of the energy storage equipment, and the expected life duration of the energy storage equipment, to determine the first configuration performance information and the first charge and discharge power information of the energy storage equipment within the preset future duration, so that the first configuration performance information and the first charge and discharge power information optimize the economic cost while meeting the energy storage planning load demand.

[0084] Exemplarily, the usage cost information of the energy storage equipment includes the purchase cost, maintenance cost, usage cost, etc. of the equipment. The expected life duration of the energy storage equipment determines the available times and charge and discharge frequencies of the energy storage equipment within its life cycle during the planning period.

[0085] S3. If the deviation between the expected life duration and the theoretical life duration of the energy storage equipment is less than the preset deviation threshold, determine the first configuration performance information and the first charge and discharge power information as the energy storage planning information.

[0086] Among them, the theoretical life duration is determined based on the first charge and discharge power information and the expected life duration.

[0087] In this step, calculate the deviation value between the predicted service life duration and the theoretical service life duration of the energy storage device. If the deviation value is less than the preset deviation threshold, it indicates that the energy storage planning scheme corresponding to the theoretical service life duration is the optimal scheme, and thus determine the first configuration performance information and the first charge-discharge power information as the specific planning information of the energy storage.

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

[0089] Exemplarily, the predicted service life duration is 10 years, the theoretical service life duration is 9 years, and the deviation value between the predicted service life duration and the theoretical service life duration is 1 year.

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

[0091] S4. If the deviation between the predicted service life duration and the theoretical service life duration of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical service life duration to the new predicted service life duration, and repeat steps S2 - S4 until the deviation between the predicted service life duration and the theoretical service life duration 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, calculate the deviation value between the predicted service life duration and the theoretical service life duration of the energy storage device. If the deviation between the predicted service life duration and the theoretical service life duration of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical service life duration to the new predicted service life duration, and then input the new predicted service life duration into steps S2 - S4 for 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 predicted service life duration and the theoretical service life duration of the energy storage device is less than the preset deviation threshold or the number of iterations reaches the preset number threshold.

[0093] Among them, the number of iterations is the number of times the predicted service life duration is updated, which can be adjusted according to the actual application scenario.

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

[0095] Exemplarily, the theoretical service life duration of the energy storage device can usually be judged according to the cumulative available cycle times. When the cumulative equivalent cycle times reach the cumulative available cycle times it will be retired, and the operating duration passed is the service life duration. During the planning period, the cumulative equivalent cycle times up to the nth year can be calculated through the cumulative value according to the charge-discharge power on working days and non-working days:

[0096] (1)

[0097] In the formula, represents the cumulative equivalent cycle times up to the kth year; is the number of hours of the operating day; is the maximum configured capacity of the energy storage on the user side, and are the sets of working days and non-working days in each year during the planning period, respectively, and are the charging and discharging powers of the energy storage on the user side at the t-th time period on the j-th month of the k-th year on a working day, respectively, and can be comprehensively calculated by the following formulas (3)-(14), formula (28), formula (29), and formula (31). and are the charging and discharging powers of the energy storage on the user side at the t-th time period on the j-th month of the k-th year on a non-working day, respectively, and can be comprehensively calculated by the following formulas (15)-(26), formula (27), formula (30), and formula (31).

[0098] When the cumulative value ≥ and ≤ it indicates that the energy storage retires within the k-th year. In the planning scheme result, the theoretical life duration of the energy storage is:

[0099] (2)

[0100] In the formula, is the equivalent charge-discharge cycle times up to the (n - 1)-th year. The meaning of the denominator term in the above formula is that if it has not reached the full n years and the cumulative equivalent cycle times of the energy storage have reached the maximum available times, the life part less than one year is converted.

[0101] Since there may be a large deviation between the theoretical life duration obtained from the planning scheme result and the estimated life duration set in the planning scheme, resulting in a lack of accuracy and rationality in the planning scheme. The theoretical life duration can be updated to a new estimated life duration, and then the new estimated life duration is input into steps S2 - S4 for 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 estimated life duration and the theoretical life duration of the energy storage device is less than the preset deviation threshold or the number of iterations reaches the preset number threshold.

[0102] S5. Take 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 the number of iterations reaches the preset number threshold as the planning information of the energy storage.

[0103] In this step, if the deviation value between the predicted life duration and the theoretical life duration obtained from the above iterative calculation process is less than the preset deviation threshold or the number of iterations reaches the preset number threshold, save the first configuration performance information and the first charge-discharge power information corresponding to when the deviation value is less than the preset deviation threshold or the number of iterations reaches the preset number threshold, and use the above information as the planning information of the energy storage.

[0104] The method of the above step can not only ensure that the energy storage plan meets the target power consumption requirements on the user side, but also improve the accuracy and effectiveness of the energy storage plan by continuously iteratively optimizing the energy storage life.

[0105] The energy storage planning method provided by the embodiment of the present application first obtains the target load power of the electrical equipment and the target power generation power of the energy storage equipment within a preset future duration, and then determines the first configuration performance information and the first charge-discharge power information of the energy storage equipment within the preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage equipment, and the predicted life duration of the energy storage equipment. Finally, if the deviation between the predicted life duration and the theoretical life duration of the energy storage equipment is less than the preset deviation threshold, determine the first configuration performance information and the first charge-discharge power information as the planning information of the energy storage, and the theoretical life duration is determined based on the first charge-discharge power information and the predicted life duration. This technical solution comprehensively analyzes the target load power, the target power generation power, the equipment usage cost, and the predicted life duration, and determines reasonable energy storage equipment configuration information and charge-discharge power information according to the condition that the deviation between the predicted life duration and the theoretical life duration is less than the threshold, ensuring the coordination between the energy storage plan and the energy storage life, and achieving the technical effect of determining an accurate energy storage plan.

[0106] Based on the above embodiment, Figure 2 is the flowchart of the energy storage planning method provided by the embodiment of the present application Figure 2 , as Figure 2 shown, step S2 may include the following steps:

[0107] S21. Determine the first configuration performance information and the first charge-discharge power information of the energy storage equipment within a preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage equipment, the predicted life duration of the energy storage equipment, the first constraint condition, and the second constraint condition.

[0108] Among them, 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 a preset future duration; the target load power includes the power demand of the electrical equipment within a preset future duration; the first constraint condition is determined according to the floor area and the energy storage configuration power standard; the second constraint condition is determined according to the energy storage configuration power standard, the charge-discharge power, and the upper and lower limits of the state of charge.

[0109] In this step, during the process of considering the influencing factors of energy storage planning such as the target load power, the target power generation, the usage cost information of the energy storage device, and the expected service life of the energy storage device, the first constraint condition and the second constraint condition for the energy storage planning are added to ensure that the energy storage planning can meet the requirements of the energy storage floor area, and at the same time ensure that the charge-discharge power is within the effective range of the energy storage device, so as to comprehensively determine the first configuration performance information and the first charge-discharge power information of the energy storage device within a preset future duration, and use the first configuration performance information and the first charge-discharge power information as the energy storage planning information.

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

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

[0112] Exemplarily, the target load power during the planning period (i.e., the preset future duration) includes a first load power (i.e., the working day load power) and a second load power (i.e., the non-working day load power), and the target power generation during the planning period includes a first power generation (i.e., the working day power generation) and a second power generation (i.e., the non-working day power generation).

[0113] Among them, the above power generation is the distributed power generation of the energy storage device.

[0114] The energy storage planning method provided by the embodiment of the present application determines the first configuration performance information and the first charge-discharge power information of the energy storage device within a preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life of the energy storage device, the first constraint condition, and the second constraint condition. This technical solution comprehensively considers various factors and constraint conditions affecting energy storage, determines the first configuration performance information and the first charge-discharge power information of the energy storage device, and the entire process needs to be gradually optimized to meet the constraint conditions, so as to ensure the reliability and economy of the energy storage device during actual operation.

[0115] Based on the above embodiments, Figure 3 The flowchart of the energy storage planning method provided by the embodiment of this application is shown Figure 3 as Figure 3 shown. Step S21 may include the following steps:

[0116] S31. Determine the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays according to the first load power, the first power generation power, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition.

[0117] Among them, the first configuration performance information includes: the configured power on weekdays and the configured capacity on weekdays; the first charge and discharge power information includes: the charging power on weekdays and the discharging power on weekdays.

[0118] In this step, comprehensively considering factors such as the first load power (i.e., the weekday load power), the first power generation power (i.e., the weekday power generation power), the usage cost information of the energy storage device, the expected service life duration, the first constraint condition, and the second constraint condition that affect and restrict the energy storage planning, determine the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays as the energy storage planning information.

[0119] Exemplarily, the specific implementation manner of step S31 is as follows:

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

[0121] (3)

[0122] In the formula, refers to the final energy storage planning information (specifically including energy storage planning information such as the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays), is the total electricity purchase cost on the user side after energy storage allocation, is the usage cost information of the energy storage, is the savings in demand charge.

[0123] Among them, can be obtained through the following formula:

[0124] (4)

[0125] In the formula, is the time-of-use electricity purchase price at time t on the user side, is the target load power at time t on weekdays in the jth month of the kth year during the planning period, is the target load power at time period t on the non - working day of the j - th month in the k - th year during the planning period.

[0126] Among them, and can be expressed by the following formulas respectively:

[0127] (5)

[0128] (6)

[0129] In the above formula, and are the maximum power value and the maximum demand load power in the k - th year respectively, is the second load power at time period t on the working day of the j - th month, is the second load power at time period t on the non - working day of the j - th month, is the second power generation power at time period t on the working day of the j - th month, is the second power generation power at time period t on the non - working day of the j - th month.

[0130] Since the user configures energy storage, it changes the original peak - valley load characteristics of the user, which will cause changes in the actual electricity demand before and after energy storage configuration. Therefore, the savings in demand charges can be expressed as:

[0131] (7)

[0132] In the formula, is the monthly standard of demand charges; and are the actual demand load powers of the user in the k - th year and the j - th month considering after energy storage configuration and before and after energy storage configuration respectively.

[0133] Among them represents the actual demand load power on the working day of the j - th month in the k - th year after energy storage configuration, and its calculation formula (8) is as follows:

[0134]

[0135] In the formula, and are the charging and discharging powers of the user - side energy storage at the first time period on the working day of the j - th month in the k - th year respectively.

[0136] Among them represents the actual demand load power on the working day of the j - th month in the k - th year before energy storage configuration, and its calculation formula is:

[0137] (9)

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

[0139] (10)

[0140] In the formula, is the power configured for energy storage planning; is the standard of energy storage configuration power corresponding to the unit floor area; is the floor area allowed by the user for energy storage occupancy.

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

[0142] (11)

[0143] In the formula, represents the charging state 0-1 variable of the energy storage at the t-th time period in the j-th month of the k-th year. When in the charging state is 1, and when in the discharging state is 0.

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

[0145] (12)

[0146] (13)

[0147] (14)

[0148] In the above three formulas, represents the state of charge of the energy storage at each time period t, and respectively represent the upper and lower limits of the energy storage state of charge, and respectively represent the constraint that the states of charge at the beginning and end time periods of the working days in the j-th month of the k-th year are equal, which can be set according to the actual application scenario, is the discharging efficiency of the energy storage (that is, when the energy storage discharges to the outside, = the amount of electricity released to the outside / the amount of electricity stored internally).

[0149] In summary, according to the above formulas (3)-(14), the configured power for working days, the configured capacity for working days, the charging power for working days, and the discharging power for working days in step S31 can be obtained. The information corresponding to the above four parameters is the energy storage planning information for working days during the planning period.

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

[0151] Step 1: Determine the configured power, configured capacity, charging power, and discharging power on non-working days based on the second load power, second power generation power, usage cost information, expected service life, first constraint condition, and second constraint condition.

[0152] Among them, the first configuration performance information includes: the configured power on non-working days and the configured capacity on non-working days; the first charge and discharge power information includes: the charging power on non-working days and the discharging power on non-working days.

[0153] In this step, comprehensively considering factors such as the second load power (i.e., the load power on non-working days), the second power generation power (i.e., the power generation power on non-working days), the usage cost information of the energy storage device, the expected service life, the first constraint condition, and the second constraint condition that affect and restrict the energy storage planning, determine the configured power, configured capacity, charging power, and discharging power on non-working days as the energy storage planning information.

[0154] Exemplarily, the specific implementation method of Step 1 is as follows:

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

[0156] (15)

[0157] In the formula, refers to the final energy storage planning information (specifically including information such as the configured power on non-working days, the configured capacity on non-working days, the charging power on non-working days, and the discharging power on non-working days), is the total electricity purchase cost on the user side after energy storage configuration, is the usage cost information of the energy storage, is the savings in demand charge.

[0158] Among them, can be obtained through the following formula:

[0159] (16)

[0160] In the formula, is the time-of-use electricity purchase price at time t on the user side, is the target load power at time t on a working day in the j-th month of the k-th year during the planning period, is the target load power at time t on a non-working day in the j-th month of the k-th year during the planning period.

[0161] Among them, and Can be expressed by the following formulas respectively:

[0162] (17)

[0163] (18)

[0164] In the above formulas, and are the maximum power value and the maximum demand load power in the k-th year respectively, is the second load power at the t-th time period on a working day in the j-th month, is the second load power at the t-th time period on a non-working day in the j-th month, is the second power generation power at the t-th time period on a working day in the j-th month, is the second power generation power at the t-th time period on a non-working day in the j-th month.

[0165] Since the user's energy storage configuration changes the original peak-valley load characteristics of the user, it will cause changes in the actual electricity demand before and after energy storage configuration. Therefore, the savings in demand charges can be expressed as:

[0166] (19)

[0167] In the formula, is the monthly demand charge standard; and are the actual demand load powers of the user in the k-th year and the j-th month considering after and before energy storage configuration respectively.

[0168] Among them, represents the actual demand load power on a non-working day in the k-th year and the j-th month after energy storage configuration. Its calculation formula (20) is:

[0169]

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

[0171] Among them, represents the actual demand load power on a working day in the k-th year and the j-th month before energy storage configuration. Its calculation formula is:

[0172] (21)

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

[0174] (22)

[0175] Wherein, is the power configured for energy storage planning (a variable to be solved in the model); is the standard of energy storage configuration power corresponding to the unit floor area; is the floor area allowed by the user for energy storage occupancy.

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

[0177] (23)

[0178] Wherein, represents the 0-1 variable of the charging state of the energy storage at the t-th time period in the j-th month of the k-th year. When the charging state is it is 1, and when the discharging state is it is 0.

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

[0180] (24)

[0181] (25)

[0182] (26)

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

[0184] In summary, according to the above formulas (15)-(26), the off-peak day configuration power , the off-peak day configuration capacity , the off-peak day charging power , and the off-peak day discharging power in the above step 1 can be obtained. The information corresponding to the above four parameters is the off-peak day energy storage planning information during the planning period.

[0185] The energy storage planning method provided by the embodiment of the present application determines the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays according to the first load power, the first power generation power, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition. This technical solution can obtain the energy storage planning scheme for weekdays during the planning period, ensuring that the energy storage system can accurately plan the energy storage configuration according to the load demand on the user side and the power generation capacity of the energy storage device, while improving the efficiency of the energy storage system while following the physical limitations and constraint conditions of the energy storage device.

[0186] Based on the above embodiment, Figure 4 is a schematic flow of the energy storage planning method provided by the embodiment of the present application Figure 4 , as Figure 4 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 duration.

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

[0189] Exemplarily, the historical duration refers to any duration greater than or equal to one year before the current time point. The energy storage monitoring system may be a smart meter, a load monitoring device, a power management platform, a supervisory control and data acquisition system, etc.

[0190] In a possible implementation, the first load power of the electrical equipment and the first power generation power of the energy storage device within the historical duration may be the first load power and the first power generation power data in the past 5 years.

[0191] Among them, the first load power represents the load demand of the electrical equipment at different time periods within the historical duration. The first power generation power represents the distributed power generation power value of the energy storage device at different time periods within the historical duration.

[0192] S42. Based on the least squares algorithm, process the first load power and the first power generation power 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 duration.

[0193] In this step, based on the prediction method of the least squares algorithm, the first load power and the first power generation power are fitted to accurately predict the load reference power and the power generation reference power within the future preset duration, which 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] Among them, the load reference power is used to predict the power demand of electrical equipment during the planning period. The power generation reference power is the distributed power generation reference power, which is used to predict the power generation capacity of energy storage equipment during the planning period.

[0195] The above-mentioned load reference power includes the weekday load reference power and the weekend load reference power, and the power generation reference power includes the weekday power generation reference power and the weekend power generation reference power.

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

[0197] Let the first load power sample sets of weekdays and weekends in the j-th month within the historical period be denoted as and , respectively, and the first power generation power sample sets of weekdays and weekends in the j-th month be denoted as and , respectively, where the subscript j represents the month, the subscript d represents the date number, the subscript t represents the t-th time period within a day, and

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

[0199] (27)

[0200] In the formula, represents the set of weekdays in the j-th month; represents the number of weekdays in the j-th month; represents the number of time periods per day.

[0201] Solving the above formula, the load reference power set for weekdays in the j-th month can be obtained as .

[0202] Similarly, according to the above load reference power set, the load reference power set for weekends in the j-th month can be obtained as .

[0203] The formula for solving the weekday power generation reference power using the least squares algorithm is as follows:

[0204] (28)

[0205] In the formula, represents the set of weekdays in the j-th month; represents the number of weekdays in the j-th month; represents the number of time periods per day.

[0206] Solving the above formula, the power generation reference power set for weekdays in the j-th month can be obtained as .

[0207] Similarly, according to the above process for solving the power generation reference power set of working days, the power generation reference power set of non-working days in the j-th month can be obtained as .

[0208] S43. Perform per-unit conversion on 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, perform per-unit conversion on the load reference power of working days, the load reference power of non-working days, the power generation reference power of working days, and the power generation reference power of non-working days to obtain the target load power and the target power generation power corresponding to working days and non-working days respectively.

[0210] Exemplarily, the formula for performing per-unit conversion on the power generation reference power of working days is as follows:

[0211] (29)

[0212] In the formula: is the maximum power generation of the user throughout the year, is the second power generation power set of the j-th month of working days after per-unit conversion, which can be expressed as , is the per-unit value of the second power generation power at the t-th time period of the j-th month of working days.

[0213] The formula for performing per-unit conversion on the load reference power of working days is as follows:

[0214] (30)

[0215] In the formula: is the maximum power of the user's annual load, is the second load power set of the j-th month of working days after per-unit conversion, which can be expressed as , is the per-unit value of the second load power at the t-th time period of the j-th month of working days.

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

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

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

[0219] Exemplarily, the solution formulas for the target load power on weekdays, the target load power on non-working days, the target power generation on weekdays, and the target power generation on non-working days are respectively shown as follows:

[0220] (31)

[0221] In the above formula, , are respectively the maximum distributed power generation value and the maximum load demand value in the kth year during the planning period; is the second load power at the tth time period on a working day in the jth month; is the second load power at the tth time period on a non-working day in the jth month; is the second power generation power at the tth time period on a working day in the jth month; is the second power generation power at the tth time period on a non-working day in the jth month; , are respectively the target power generation power set and the target load power set on a working day in the jth month of the kth year during the planning period; , are respectively the target power generation power set and the target load power set on a non-working day in the jth month of the kth year.

[0222] The energy storage planning method provided by the embodiments of the present application first obtains the first load power of the electrical equipment and the first power generation power of the energy storage equipment within the historical duration, then processes the first load power and the first power generation power based on the least squares algorithm to obtain the load reference power of the electrical equipment and the power generation reference power of the energy storage equipment within the future preset duration, performs per-unit normalization processing on the load reference power and the power generation reference power to obtain the second load power and the second power generation reference power, and finally determines the target load power and the target power generation based on the second load power, the second power generation power, the maximum load demand of the electrical equipment, and the maximum power generation of the energy storage equipment. This technical solution processes the historical power data through the least squares algorithm and then performs per-unit normalization processing on the obtained load reference power and power generation reference power, which helps to unify the representation method of power data. By considering the maximum load demand of the electrical equipment and the maximum power generation of the energy storage equipment, and combining the per-unit normalized load power and power generation power, it can ensure the balance between power demand and power generation capacity in actual operation, and can achieve efficient, accurate, and flexible prediction of power load and power generation, providing important support for subsequent energy storage planning.

[0223] In a possible implementation, Figure 5 is a schematic flowchart of the energy storage planning method provided by the embodiments of this application Figure 5 , combined with Figure 5 to introduce the specific process of the energy storage planning method provided by the embodiments of this application:

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

[0225] Step 2: Use the least squares algorithm to fit the benchmark power for weekdays and non - weekdays and perform per - unit normalization processing.

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

[0227] Step 4: Orienting to the minimization of the full - life - cycle cost, construct a user - side energy storage planning model.

[0228] Step 5: Input the investment, construction and operation costs of energy storage, time - of - use electricity prices, demand charge standards, and set the theoretical life duration of energy storage.

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

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

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

[0232] Step 7: According to the cumulative equivalent cycle times and the energy storage charging power information, obtain the theoretical life duration of energy storage during the planning period.

[0233] Step 8: Whether the deviation between the theoretical life duration and the expected life duration during the planning period is less than the threshold range.

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

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

[0236] In this step, if the number of iterations meets the upper limit of the number of iterations, step 11 is executed; if the number of iterations does not reach the upper limit of the number of iterations, step 10 is executed.

[0237] Step 10: Set the theoretical life duration of the energy storage as the new estimated life duration.

[0238] Step 11: Take the energy storage planning scheme corresponding to the theoretical life duration as the optimal planning scheme.

[0239] The following is an embodiment of the device of the present application, which can be used to execute the method embodiment of the present application. For the details not disclosed in the device embodiment of the present application, please refer to the method embodiment of the present application.

[0240] Figure 6 It is a schematic structural diagram of the energy storage planning device provided by the embodiment of the present application, as Figure 6 shown. The device includes:

[0241] An acquisition module 61, configured to execute S1 to acquire the target load power of the electrical equipment and the target power generation power of the energy storage equipment within a preset future duration;

[0242] A first processing module 62, configured to execute S2 to determine the first configuration performance information and the first charge-discharge power information of the energy storage equipment within a preset future duration according to the target load power, the target power generation power, the usage cost information of the energy storage equipment, and the estimated life duration of the energy storage equipment;

[0243] A first determination module 63, configured to execute S3. If the deviation between the estimated life duration and the theoretical life duration of the energy storage equipment is less than a preset deviation threshold, determine the first configuration performance information and the first charge-discharge power information as the planning information of the energy storage. The theoretical life duration is determined based on the first charge-discharge power information and the estimated life duration.

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

[0245] A second processing module, configured to execute S4. If the deviation between the estimated life duration and the theoretical life duration of the energy storage equipment is greater than or equal to the preset deviation threshold, update the theoretical life duration to a new estimated life duration, and repeat to execute S2-S4 until the deviation between the estimated life duration and the theoretical life duration of the energy storage equipment is less than the preset deviation threshold, or the number of iterations reaches the preset number threshold. The number of iterations is the number of times of updating the estimated life duration;

[0246] A second determination module, configured to execute S5, and take 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 the number of iterations reaches the preset number threshold as the planning information of the energy storage.

[0247] In a possible implementation manner, the first processing module 62 is specifically configured to:

[0248] Determine the first configuration performance information and the first charge-discharge power information of the energy storage device within a preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition;

[0249] Wherein, 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 a preset future duration; the target load power includes: the power demand of the electrical equipment within a preset future duration; the first constraint condition is determined according to the floor area and the energy storage configuration power standard; the second constraint condition is determined according to the energy storage configuration power standard, the charge-discharge power, and the upper and lower limits of the state of charge.

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

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

[0252] In a possible implementation manner, the first processing module 62 determines the first configuration performance information and the first charge-discharge power information of the energy storage device within a preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition, and is specifically configured to:

[0253] Determine the configuration power on a working day, the configuration capacity on a working day, the charging power on a working day, and the discharging power on a working day according to the first load power, the first power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition;

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

[0255] In a possible implementation manner, the first processing module 62 determines the first configuration performance information and the first charge and discharge power information of the energy storage device within a preset future duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition. Specifically, it is used for:

[0256] Determine the configured power on non-working days, the configured capacity on non-working days, the charging power on non-working days, and the discharging power on non-working days according to the second load power, the second power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition;

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

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

[0259] Acquire the first load power of the electrical equipment and the first power generation of the energy storage device within the historical duration;

[0260] 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 device within a preset future duration;

[0261] Perform per-unit processing on the load reference power and the power generation reference power to obtain the second load power and the second power generation;

[0262] Determine the target load power and the target power generation according to 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.

[0263] The device provided by the embodiments of the present application can be used to execute the determination method in any of the above embodiments, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0264] It should be noted that it should be understood that the division of each module of the above device is only a division of logical functions. In actual implementation, it can be fully or partially integrated into a physical entity, or physically separated. And these modules can all be implemented in the form of software called by a processing element; they can also all be implemented in the form of hardware; or some modules can be implemented in the form of software called by a processing element, and some modules can be implemented in the form of hardware. In addition, all or part of these modules can be integrated together or can be independently implemented. Here, the processing element can be an integrated circuit with signal processing capabilities. In the implementation process, each step of the above method or each of the above modules can be completed through the integrated logic circuit in the processor element or the instructions in the form of software.

[0265] Figure 7 FIG. is a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 7 shown, the electronic device may include: a processor 71, a memory 72, and computer program instructions stored on the memory 72 and executable on the processor 71. When the processor 71 executes the computer program instructions, the method provided by any one of the foregoing embodiments is implemented.

[0266] Optionally, the above-mentioned various components of the electronic device can be connected through a system bus.

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

[0268] It should be understood that the processor 71 can be a central processing unit (CPU), and can also be other general-purpose processors 71, digital signal processors 71 (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), etc. The general-purpose processor 71 can be a microprocessor 71 or the processor 71 can also be any conventional processor 71, etc. The steps of the method disclosed in combination with the present application can be directly embodied as being executed and completed by the hardware processor 71, or can be executed and completed by a combination of the hardware and software modules in the processor 71.

[0269] The system bus can be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity in illustration, only a thick line is used in the figure to represent it, but it does not mean that there is only one bus or one type of bus. The memory 72 may include a Random Access Memory (RAM), and may also include a Non-Volatile Memory (NVM), such as at least one disk memory 72.

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

[0271] The electronic device provided in the embodiments of the present application can be used to execute the method provided in any of the above method embodiments. The implementation principle and technical effects are similar and will not be elaborated here.

[0272] The embodiments of the present application provide a computer-readable storage medium. Computer instructions are stored in the computer-readable storage medium. When the computer instructions are run on a computer, the computer is caused to execute the above method.

[0273] For the above computer-readable storage medium, the above-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 memory, flash memory, disk or optical disc. The readable storage medium can be any available medium accessible by a general-purpose or special-purpose computer.

[0274] Optionally, a readable storage medium is coupled to the processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be an integral part of the processor. The processor and the readable storage medium may be located in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also exist as discrete components in the device.

[0275] An embodiment of the present 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 when the at least one processor executes the computer program, the above method can be implemented.

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

Claims

1. A method for energy storage planning, characterized in that, Including: S1. Obtain the target load power of the electrical equipment and the target power generation power of the energy storage device within a preset future time period; S2. Determine the first configuration performance information and the first charge-discharge power information of the energy storage device within the preset future time period according to the target load power, the target power generation power, the usage cost information of the energy storage device, and the expected service life of the energy storage device; S3. If the deviation between the expected service life and the theoretical service life of the energy storage device is less than a preset deviation threshold, determine the first configuration performance information and the first charge-discharge power information as the planning information of the energy storage, where the theoretical service life is determined based on the first charge-discharge power information and the expected service life.

2. The method according to claim 1, wherein The method further includes: S4. If the deviation between the expected service life and the theoretical service life of the energy storage device is greater than or equal to the preset deviation threshold, update the theoretical service life to a new expected service life, and repeat steps S2 - S4 until the deviation between the expected service life and the theoretical service life of the energy storage device is less than the preset deviation threshold or the number of iterations reaches a preset number threshold, where the number of iterations is the number of times the expected service life is updated; S5. Use the first configuration performance information and the first charge-discharge power information corresponding to the situation where the deviation is less than the preset deviation threshold or the number of iterations reaches the preset number threshold as the planning information of the energy storage.

3. The method according to claim 1, wherein The step of determining the first configuration performance information and the first charge-discharge power information of the energy storage device within the preset future time period according to the target load power, the target power generation power, the usage cost information of the energy storage device, and the expected service life of the energy storage device includes: Determine the first configuration performance information and the first charge-discharge power information of the energy storage device within the preset future time period according to the target load power, the target power generation power, the usage cost information of the energy storage device, the expected service life of the energy storage device, the first constraint condition, and the second constraint condition; Wherein, 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 power includes the distributed power generation power of the energy storage device within the preset future time period; the target load power includes the power demand of the electrical equipment within the preset future time period; the first constraint condition is determined according to the floor area and the energy storage configuration power standard; the second constraint condition is determined according to the energy storage configuration power standard, the charge-discharge power, and the upper and lower limits of the state of charge.

4. The method according to claim 3, characterized in that, The preset future time period includes 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 the first preset time period and a second load power corresponding to the second preset time period, and the target power generation power includes a first power generation power corresponding to the first preset time period and a second power generation power corresponding to the second preset time period.

5. The method according to claim 4, wherein Determining the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition includes: Determining the configured power on weekdays, the configured capacity on weekdays, the charging power on weekdays, and the discharging power on weekdays according to the first load power, the first power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition; Wherein, the first configuration performance information includes the configured power on weekdays and the configured capacity on weekdays; the first charge-discharge power information includes the charging power on weekdays and the discharging power on weekdays.

6. The method according to claim 4, wherein Determining the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, the expected service life duration of the energy storage device, the first constraint condition, and the second constraint condition includes: Determining the configured power on non-weekdays, the configured capacity on non-weekdays, the charging power on non-weekdays, and the discharging power on non-weekdays according to the second load power, the second power generation, the usage cost information, the expected service life duration, the first constraint condition, and the second constraint condition; Wherein, the first configuration performance information includes the configured power on non-weekdays and the configured capacity on non-weekdays; the first charge-discharge power information includes the charging power on non-weekdays and the discharging power on non-weekdays.

7. The method according to any one of claims 1 to 6, characterized in that, Obtaining the target load power of the electrical equipment and the target power generation of the energy storage device within the future preset duration includes: Obtaining the first load power of the electrical equipment and the first power generation of the energy storage device within the historical duration; Processing the first load power and the first power generation based on the least squares algorithm 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 duration; Performing per-unitization processing on the load reference power and the power generation reference power to obtain the second load power and the second power generation; Determining the target load power and the target power generation according to 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.

8. An energy storage planning device, characterized in that, The device includes: An obtaining module, configured to execute S1 to obtain the target load power of the electrical equipment and the target power generation of the energy storage device within the future preset duration; A first processing module, configured to execute S2 to determine the first configuration performance information and the first charge-discharge power information of the energy storage device within the future preset duration according to the target load power, the target power generation, the usage cost information of the energy storage device, and the expected service life duration of the energy storage device; A first determination module, configured to execute S3. If the deviation between the predicted service life duration and the theoretical service life duration of the energy storage device is less than a preset deviation threshold, determine the first configuration performance information and the first charge-discharge power information as the energy storage planning information, where the theoretical service life duration is determined based on the first charge-discharge power information and the predicted service life duration.

9. An electronic device, characterized in that, Comprising: A processor and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7 above.

10. A computer-readable storage medium, characterized in that, Computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by the processor, they are used to implement the method according to any one of claims 1 to 7 above.

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