Energy storage container digital configuration method, system, device and storage medium

Abstract

The present invention discloses a digital configuration method, system, device and storage medium for energy storage containers, wherein the method includes: setting the currently required estimated basic total capacity as the configuration calculation basic value based on the predetermined power radiation range and historical power grid power parameters; estimating and generating the power growth rate according to the power consumption change curve; calculating the battery pack attenuation when the expected service life is reached; calculating the maximum power consumption of the battery pack supporting equipment within a charge and discharge power cycle; performing compensation calculation on the configuration calculation basic value according to a predetermined strategy to obtain the total configuration power, and configuring the battery cluster according to the total configuration power. By performing a comprehensive compensation calculation on the estimated basic total capacity based on the power growth rate, the battery pack attenuation and the maximum power consumption of the supporting equipment, the obtained total configuration power can be applied to the expected service life as much as possible, preventing the capacity from being too small and the one-time cost from being too large, thereby improving the rationality of cost control.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage container processing, and in particular to a digital configuration method, system, equipment and storage medium for an energy storage container. Background Art

[0002] The energy storage container is a mobile battery energy storage system with a container as the main body. It has the advantages of high energy density, strong scalability, convenient long-distance transportation, and convenient operation and maintenance. Therefore, it is widely used in power systems to store and release electrical energy to meet the needs of peak regulation and frequency regulation of power systems.

[0003] At present, energy storage containers are usually configured according to the current energy storage needs. When configuring, they often only focus on the total capacity of the energy storage container, while ignoring the power loss generated during the actual operation process, such as battery pack attenuation, energy transfer process loss, and working energy consumption of supporting equipment such as the cooling system. Therefore, the energy storage containers configured according to the current method can usually meet the needs in the initial use. However, as the use time increases, factors such as battery pack attenuation will gradually have a greater impact on the energy storage effect of the energy storage container, resulting in the energy storage container being difficult to meet actual use needs after a period of use. Capacity expansion and other methods are needed to optimize the performance of the energy storage container, resulting in high subsequent maintenance costs. If configured according to a larger capacity from the beginning, the initial one-time investment cost will be too high. Summary of the invention

[0004] In order to overcome the deficiencies of the prior art, the object of the present invention is to provide a digital configuration method, system, device and storage medium for energy storage containers, which have the advantages of being able to be reasonably configured to have sufficient capacity within the expected working time and reduce costs.

[0005] The purpose of the present invention is achieved by the following technical solutions:

[0006] According to a first aspect of an embodiment of the present disclosure, a method for digitally configuring an energy storage container is provided, comprising:

[0007] Based on the planned power consumption radiation range and historical power grid power consumption parameters, the estimated basic total capacity currently required is set as the basic value for configuration calculation;

[0008] Establishing a daily electricity consumption model including an electricity consumption change curve based on historical power grid electricity consumption parameters, and estimating and generating an electricity consumption growth rate based on the electricity consumption change curve;

[0009] Calculate the battery pack attenuation when the expected service life is reached based on the battery pack attenuation characteristics;

[0010] Establish a power consumption model for the battery pack supporting equipment based on the working characteristics of the battery pack to calculate the maximum power consumption of the battery pack supporting equipment during a charge and discharge cycle;

[0011] The configuration calculation base value is compensated and calculated according to a predetermined strategy to obtain a configuration total power, and the battery cluster is configured according to the configuration total power.

[0012] To implement the above technical solution, when performing configuration, first obtain the historical power grid power consumption parameters within the predetermined power consumption radiation range. The historical power grid power consumption parameters are the power consumption data of all power users within the power consumption radiation range, which can be directly obtained from the power grid data. The daily power consumption can be obtained based on the historical power grid power consumption parameters, and then the estimated basic total capacity can be obtained. The estimated basic total capacity is used as the basic value for configuration calculation, which provides a basis for subsequent compensation calculations. Since power consumption usually shows an increasing trend in the application area of ​​the energy storage container, if the battery cluster is configured only with the estimated basic total capacity, it will be difficult to meet the power demand after a certain period of time and cannot be used until the expected service life. Therefore, the estimated basic total capacity is compensated by the power consumption growth rate. Since the battery pack will gradually decay during use, for example, it will decay by about 5% per year. Therefore, in order to make the battery pack capacity adaptable to the expected service life life, and compensate for the battery pack attenuation; at the same time, during the use of the energy storage container, in order to ensure the normal operation of the battery pack, it is usually necessary to equip supporting equipment such as heat dissipation devices and environmental monitoring devices, and the electricity consumed by these supporting equipment is also supplied by the battery pack, and the working law of the supporting equipment has a certain correlation with the working characteristics of the battery pack. Therefore, the power consumption in a charging and discharging cycle can be obtained by establishing a power consumption model of the supporting equipment, and the compensation for this part of the power consumption can ensure the power supply to the power-consuming unit; finally, the estimated basic total capacity is comprehensively compensated by the power consumption growth rate, battery pack attenuation and the maximum power consumption of the supporting equipment, so that the total configuration power can be applied to the expected service life as much as possible, preventing the situation where the capacity is too small and repeated expansion is required later, avoiding excessive one-time cost investment, and improving the rationality of cost control.

[0013] In some exemplary embodiments, setting the currently required estimated basic total capacity as the configuration calculation basic value based on the predetermined power radiation range and the historical power grid power parameters specifically includes:

[0014] Retrieving historical grid power consumption parameters of each power user within a predetermined power consumption radiation range, wherein the historical grid power consumption parameters include daily power consumption;

[0015] Summarize the daily electricity consumption of each electricity-consuming unit, and use the average value within the predetermined calculation period as the theoretical basis to obtain the total daily electricity consumption within the predetermined electricity radiation range;

[0016] The currently required estimated basic total capacity is set according to the total daily electricity consumption as the configuration calculation basic value.

[0017] To implement the above technical solution, since the energy storage container usually supplies power to the power consuming units during peak hours or off-peak hours after being put into use, and charges the battery pack during off-peak hours, the daily power consumption is used as a reference when configuring the battery pack. The daily power consumption of each power consuming unit within a predetermined calculation period is summarized during calculation. The average value is calculated as the theoretical basic value to make the total daily power consumption more reasonable. Finally, the estimated basic total capacity is set according to the total daily power consumption, thereby improving the rationality of the configuration.

[0018] In some exemplary implementations, the setting of the currently required estimated basic total capacity as the configuration calculation basic value based on the total daily power consumption is specifically:

[0019] Determine, based on the charging efficiency of the battery cluster, whether the battery cluster can be fully charged during the off-peak period of the power grid by taking the total daily power consumption as the total capacity of the battery cluster;

[0020] If so, the total daily electricity consumption is set as the estimated basic total capacity; otherwise, the total amount of electricity that can be charged during the off-peak period of the power grid is set as the estimated basic total capacity.

[0021] To implement the above technical solution, since the purpose of using energy storage containers is to save electricity costs by taking advantage of the difference in electricity prices between off-peak hours and peak hours, the total amount that can be charged during off-peak hours is determined based on the charging efficiency of the battery cluster, and compared with the total daily electricity consumption, the estimated basic total capacity is set more reasonably.

[0022] In some exemplary embodiments, estimating and generating a power consumption growth rate according to the power consumption change curve specifically includes:

[0023] Determining the power consumption of each statistical node in the power consumption change curve;

[0024] Calculate the month-on-month growth rate of each statistical node based on the power consumption of each statistical node;

[0025] The month-on-month growth rates are sorted and the median is taken as the electricity consumption growth rate.

[0026] To implement the above technical solution, by calculating the month-on-month growth rate of each statistical node and taking the median as the electricity consumption growth rate, the accuracy of the estimate is improved.

[0027] In some exemplary embodiments, the calculating the attenuation amount of the battery pack when the expected service life is reached based on the attenuation characteristics of the battery pack specifically includes:

[0028] Obtain the attenuation rate of the battery pack within a fixed period based on the attenuation characteristics of the battery pack;

[0029] Calculate the fixed number of cycles included in the expected useful life;

[0030] The estimated basic total capacity is used as the configuration calculation basis to obtain the battery pack attenuation corresponding to the expected service life.

[0031] By implementing the above technical solution, the attenuation of the battery pack corresponding to the expected service life is calculated based on the attenuation rate, thereby realizing the estimation of the attenuation of the battery pack.

[0032] In some exemplary embodiments, performing compensation calculation on the configuration calculation base value according to a predetermined strategy to obtain the configuration total power specifically includes:

[0033] Let the estimated total base capacity be V 基 , power consumption growth rate is α, battery pack attenuation V 衰 and the maximum power consumption is V 耗 , calculate the total power V according to the preset calculation formula 总 ;

[0034] The predetermined calculation formula is: V 总 =V 基 + (1 + α) T * V 基 +V 衰 +V 耗 , where T is the fixed number of cycles included in the expected useful life.

[0035] The above technical solution is implemented to realize the estimated calculation of the total power configuration, which serves as the basis for reference of battery cluster configuration.

[0036] In some exemplary embodiments, configuring the battery cluster according to the configured total power specifically includes:

[0037] Obtaining an estimated number of battery packs based on the total power of the configuration;

[0038] Based on the estimated number of battery packs, the specifications and quantity of the battery cluster are calculated according to the design requirements of the battery cluster to configure the battery cluster.

[0039] To implement the above technical solution, since the capacity of individual battery packs of different types is certain, the number of battery packs to be configured can be obtained by dividing the total configured power by the capacity of a single battery pack and rounding up. When in use, the battery packs need to be formed into battery clusters for reasonable control. According to the design requirements of the battery cluster, the number of battery packs that can be configured in each battery cluster can also be determined, thereby reasonably calculating the number of battery pack groups that need to be configured.

[0040] According to a second aspect of an embodiment of the present disclosure, a digital configuration system for an energy storage container is provided, comprising:

[0041] A configuration estimation unit is used to set the currently required estimated basic total capacity as a configuration calculation basic value based on a predetermined power radiation range and historical power grid power parameters;

[0042] A modeling and estimation unit is used to establish a daily electricity consumption model including an electricity consumption change curve according to historical power grid electricity consumption parameters, and to estimate and generate an electricity consumption growth rate according to the electricity consumption change curve;

[0043] An attenuation estimation unit, used to calculate the attenuation of the battery pack when the expected service life is reached based on the attenuation characteristics of the battery pack;

[0044] The power consumption calculation unit is used to establish a power consumption model of the battery pack supporting equipment according to the working characteristics of the battery pack to calculate the maximum power consumption of the battery pack supporting equipment in one charge and discharge cycle;

[0045] The configuration compensation unit is used to perform compensation calculation on the configuration calculation basic value according to a predetermined strategy to obtain a configuration total power, and configure the battery cluster according to the configuration total power.

[0046] According to a third aspect of an embodiment of the present disclosure, a computer device is provided, including a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the method for digital configuration of an energy storage container as described in the first aspect.

[0047] According to a fourth aspect of an embodiment of the present disclosure, a storage medium storing computer-readable instructions is provided. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for digitally configuring an energy storage container as described in the first aspect.

[0048] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0049] The embodiment of the present invention provides a method, system, device and storage medium for digital configuration of energy storage containers. When performing configuration, the historical power grid power consumption parameters are first obtained within a predetermined power consumption radiation range. The historical power grid power consumption parameters are power consumption data of all power users within the power consumption radiation range, which can be directly obtained from the power grid data. The daily power consumption can be obtained based on the historical power grid power consumption parameters, and then the estimated basic total capacity can be obtained. The estimated basic total capacity is used as the basic value for configuration calculation to provide a basis for subsequent compensation calculations. Since power consumption generally shows an increasing trend in the application area of ​​the energy storage container, if the battery cluster is configured only with the estimated basic total capacity, it will be difficult to meet the power demand after a certain period is reached and it cannot be used to the expected service life. Therefore, the estimated basic total capacity is compensated by the power consumption growth rate. Since the battery pack will gradually decay during use, for example, decay by about 5% per year, in order to make the battery pack The capacity can be adapted to the expected service life and compensate for the attenuation of the battery pack. At the same time, during the use of the energy storage container, in order to ensure the normal operation of the battery pack, it is usually necessary to equip ancillary equipment such as heat dissipation devices and environmental monitoring devices. The electricity consumed by these ancillary equipment is also supplied by the battery pack. The working law of the ancillary equipment has a certain correlation with the working characteristics of the battery pack. Therefore, the electricity consumption in a charging and discharging cycle can be obtained by establishing an electricity consumption model of the ancillary equipment, and the compensation for this part of the electricity consumption can ensure the supply of electricity to the electricity-consuming unit. Finally, the estimated basic total capacity is comprehensively compensated by the electricity growth rate, battery pack attenuation and the maximum electricity consumption of the ancillary equipment, so that the total configured electricity can be applied to the expected service life as much as possible, preventing the situation where the capacity is too small and repeated expansion is required in the future, avoiding excessive one-time cost investment, and improving the rationality of cost control. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The present invention is a flowchart of a method for digitally configuring an energy storage container in an embodiment of the present invention.

[0051] Figure 2 It is a structural schematic diagram of a digital configuration system for energy storage containers in an embodiment of the present invention.

[0052] Figure 3 The figure is a schematic diagram of the internal structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] like Figure 1 As shown, a first aspect of an embodiment of the present invention provides a method for digitally configuring an energy storage container, comprising:

[0055] S100: Based on the predetermined power consumption radiation range and historical power grid power consumption parameters, the currently required estimated basic total capacity is set as a configuration calculation basic value.

[0056] The planned power consumption radiation range is all power users within the planned use area of ​​the energy storage container. In order to make the subsequent configuration estimation more accurate, the distance between each power user and the preset position of the energy storage container is usually considered in the planning of the planned power consumption radiation range, and the loss during the power transmission process is estimated based on the distance. The historical power grid power consumption parameters can be obtained from the power grid monitoring database through the Internet. Of course, it can be understood that the historical power grid power consumption parameters are the historical power grid power consumption parameters of all power users.

[0057] Wherein, step S100 specifically includes:

[0058] S101. Retrieve historical grid power consumption parameters of each power user within a predetermined power consumption radiation range, wherein the historical grid power consumption parameters include daily power consumption.

[0059] S102. Summarize the daily electricity consumption of each electricity consuming unit, and use the average value within a predetermined calculation period as a theoretical basis to obtain the total daily electricity consumption within the predetermined electricity consumption radiation range. The predetermined calculation period may be, for example, the most recent 15 days, 1 month, etc. When actually calculating the average value, take the valid data within the predetermined calculation period. Since there is a significant difference in electricity consumption between weekdays and weekends in actual electricity consumption, the electricity consumption on weekends does not have calculation significance, that is, the electricity consumption corresponding to weekends may be regarded as invalid data, while the electricity consumption corresponding to weekdays is valid data. The total daily electricity consumption is the sum of the daily electricity consumption of each electricity consuming unit. Specifically, the average value of the daily electricity consumption of each electricity consuming unit is first determined during the calculation, and then the average values ​​are summed to obtain the total daily electricity consumption.

[0060] S103: according to the total daily electricity consumption, set the currently required estimated basic total capacity as a configuration calculation basic value.

[0061] After being put into use, energy storage containers usually supply power to power-consuming units during peak hours or off-peak hours, and charge battery packs during off-peak hours. Therefore, daily power consumption is used as a reference when configuring the battery pack. The daily power consumption of each power-consuming unit within a predetermined calculation period is summarized during calculation. The average value is calculated as the theoretical basic value to make the total daily power consumption more reasonable. Finally, the estimated basic total capacity is set according to the total daily power consumption, thereby improving the rationality of the configuration.

[0062] Furthermore, S103 specifically includes:

[0063] S1031. Determine whether the battery cluster can be fully charged during the off-peak period of the power grid by taking the total daily power consumption as the total capacity of the battery cluster according to the charging efficiency of the battery cluster. When making the judgment, the total charging capacity can be calculated according to the charging efficiency and the duration of the off-peak period. For example, if the charging efficiency is η, i.e., the charging capacity per hour, and the duration of the off-peak period is 8 hours, then the total charging capacity V 充 =8*η, and compare the calculated value with the total daily electricity consumption. If V 充 ≥Total daily electricity consumption, it is judged as yes.

[0064] S1032. If yes, the total daily electricity consumption is set as the estimated basic total capacity. Since the total daily electricity consumption can meet the current electricity demand, the total daily electricity consumption is used as the estimated basic total capacity to meet the electricity demand within a reasonable capacity configuration.

[0065] S1033. Otherwise, the total amount of electricity that can be charged during the off-peak period of the power grid is used as the estimated basic total capacity. Since the energy storage container is charged during the off-peak period every day to achieve the purpose of cost saving, and if the capacity exceeds the charging amount during the off-peak period, the excess amount cannot achieve the purpose of cost saving in the short term, the total amount of electricity charged is used as the estimated basic total capacity to prevent excessive one-time investment.

[0066] Since the purpose of using energy storage containers is to save electricity costs by taking advantage of the difference in electricity prices between off-peak hours and peak hours, the total amount that can be charged during off-peak hours is determined based on the charging efficiency of the battery cluster and compared with the total daily electricity consumption, making the estimated basic total capacity more reasonable.

[0067] S200: Establish a daily electricity consumption model including an electricity consumption variation curve based on historical power grid electricity consumption parameters, and generate an electricity consumption growth rate based on the electricity consumption variation curve.

[0068] Since the historical power grid electricity consumption parameters are known data, a power consumption change curve can be generated based on the data, and then a daily power consumption model can be obtained to evaluate power consumption related situations. The power consumption change curve can be used to determine the changes in daily power consumption, that is, the changing trend in continuous statistical periods. Since power consumption usually increases over time, the part with a more obvious change trend can be taken as the basis for calculating the power consumption growth rate.

[0069] The estimating and generating the electricity consumption growth rate according to the electricity consumption change curve specifically includes:

[0070] S201. Determine the power consumption of each statistical node in the power consumption change curve, wherein the statistical nodes are usually counted on a monthly, quarterly or annual basis. By using a sufficiently long statistical period as a statistical node, the change in power consumption can be more accurately reflected.

[0071] S202. Calculate the month-on-month growth rate of each statistical node based on the electricity consumption of each statistical node. The month-on-month growth rate is calculated as follows: (current period electricity consumption - previous period electricity consumption) / previous period electricity consumption * 100%. As described above, for example, by taking the month as the unit of the statistical node for the month-on-month growth rate calculation, the growth rate of the current month compared to the previous month can be calculated.

[0072] S203. Sort the month-on-month growth rates and take the median as the electricity consumption growth rate. Since the growth rates of adjacent statistical nodes may be high or low, and there may also be negative growth during electricity consumption, at this time, the calculated month-on-month growth rates are sorted and the median is selected as the electricity growth rate to make the growth rate estimate more reasonable and improve the accuracy of the estimate. When sorting, the negative growth data can also be removed and then sorted to take the median.

[0073] S300. Calculate the attenuation of the battery pack when the expected service life is reached based on the attenuation characteristics of the battery pack. The attenuation characteristics of the battery pack are usually determined by factors such as the electrode material, and the attenuation efficiency of each type of battery pack usually has a certain constancy. For example, the capacity loss of a ternary lithium battery in the first year is about 2%-5%, and the capacity loss each year thereafter is about 1%. The attenuation amount for the corresponding year can be calculated based on the attenuation characteristics of the battery pack.

[0074] Among them, S300 specifically includes:

[0075] S301. Obtain the attenuation rate of the battery pack within a fixed period based on the attenuation characteristics of the battery pack. Usually, the fixed period is set to 1 year.

[0076] S302. Calculate the number of fixed cycles included in the expected service life. For example, if the expected service life is 10 years, the number of fixed cycles is 10.

[0077] S303, using the estimated basic total capacity as the configuration calculation basis to obtain the corresponding battery pack attenuation when the expected service life is used. Since the attenuation rate and the fixed number of cycles are known, the corresponding battery pack attenuation can be calculated. For the convenience of calculation, for example, the attenuation rate can be uniformly taken as 1%, and the estimated basic total capacity can be V 基 , the fixed cycle number is 10, then the battery pack attenuation = V 基 - (1-1%) 10 * V 基 .

[0078] S400. Establish a power consumption model for the supporting equipment of the battery pack according to the working characteristics of the battery pack to calculate the maximum power consumption of the supporting equipment of the battery pack within one charge and discharge cycle. The supporting equipment of the battery pack may include, for example, environmental monitoring devices, monitoring devices, lighting devices, heat dissipation devices, fire-fighting devices, etc., and these supporting equipment are usually correlated with the working characteristics of the battery pack. Usually, the environmental monitoring device is turned on for a long time and its power consumption is constant. The heat dissipation device is started when the temperature of the battery pack is too high and is related to the working power of the battery pack. Other devices are usually started under specific circumstances. Therefore, for the convenience of calculation, only the power consumption of the environmental monitoring device and the heat dissipation device can be calculated; the power consumption model of the supporting equipment of the battery pack can be established according to historical experience data. One charge and discharge cycle usually refers to one day. Of course, in some cases, a single charge can also supply power for 2-3 days, or even longer. At this time, it can be determined by the actual working characteristics of the battery pack, and the power consumption of the supporting equipment of the battery pack can be reflected in the power consumption model, with historical experience data as a reference.

[0079] S500: Perform compensation calculation on the configuration calculation basic value according to a predetermined strategy to obtain a configuration total power, and configure a battery cluster according to the configuration total power.

[0080] In actual configuration, it is assumed that the energy storage container can be used during peak hours after completing one charge during off-peak hours, so that the set capacity can be more reasonable. The configuration calculation base value is compensated according to a predetermined strategy to obtain the total configuration power, which specifically includes:

[0081] S501, record the estimated basic total capacity as V 基 , power consumption growth rate is α, battery pack attenuation V 衰 and the maximum power consumption is V 耗 , calculate the total power V according to the preset calculation formula 总 , the predetermined calculation formula is: V 总 =V 基 + (1 + α) T *V 基 +V 衰 +V 耗, where T is the fixed number of cycles included in the expected service life, thereby realizing the estimated calculation of the total configuration power as the basis for the reference of battery cluster configuration.

[0082] Furthermore, configuring the battery cluster according to the configured total power specifically includes:

[0083] S502. Obtain an estimated number of battery packs according to the configured total power. Since the capacities of individual battery packs of different types are certain, the number of battery packs to be configured can be obtained by dividing the configured total power by the capacity of the individual battery pack and rounding up.

[0084] S503. Based on the estimated number of battery packs, the specifications and quantity of the battery clusters are calculated in accordance with the design requirements of the battery cluster to configure the battery cluster. When in use, the battery packs need to be formed into battery clusters for reasonable control. According to the design requirements of the battery cluster, the number of battery packs that can be configured for each battery cluster can also be determined, so that the number of battery pack groups that need to be configured can be reasonably calculated. Usually, the number of battery packs takes an integer multiple of the battery cluster so that a reasonable full configuration is achieved during the initial configuration.

[0085] When configuring, first obtain the historical power grid parameters within the predetermined power consumption range. The historical power grid parameters are the power consumption data of all power users within the power consumption range, which can be directly obtained from the power grid data. The daily power consumption can be obtained based on the historical power grid parameters, and then the estimated basic total capacity can be obtained. The estimated basic total capacity is used as the basic value for configuration calculation and provides a basis for subsequent compensation calculations. Since power consumption usually increases in the application area of ​​the energy storage container, if the battery cluster is configured only with the estimated basic total capacity, it will be difficult to meet the power demand after a certain period of time and cannot be used to the expected service life. Therefore, the estimated basic total capacity is compensated by the power consumption growth rate. Since the battery pack will gradually decay during use, for example, it decays by about 5% each year, in order to make the battery pack capacity adapt to the expected service life, the battery pack capacity is adjusted. At the same time, in order to ensure the normal operation of the battery pack during the use of the energy storage container, it is usually necessary to equip ancillary equipment such as heat dissipation devices and environmental monitoring devices, and the electricity consumption of these ancillary equipment is also supplied by the battery pack. There is a certain correlation between the working law of the ancillary equipment and the working characteristics of the battery pack. Therefore, the electricity consumption in a charging and discharging cycle can be obtained by establishing an electricity consumption model of the ancillary equipment, and the compensation for this part of the electricity consumption can ensure the supply of electricity to the electricity-consuming unit. Finally, the estimated basic total capacity is comprehensively compensated by the electricity consumption growth rate, battery pack attenuation and the maximum power consumption of the ancillary equipment, so that the total configured power can be applied to the expected service life as much as possible, preventing the situation where the capacity is too small and repeated expansion is required in the future, avoiding excessive one-time cost investment, and improving the rationality of cost control.

[0086] A second aspect of an embodiment of the present invention provides a digital configuration system for an energy storage container, such as Figure 2 As shown, it includes: a configuration estimation unit, which is used to set the currently required estimated basic total capacity as the configuration calculation basic value based on the predetermined power radiation range and historical power grid power parameters; a modeling estimation unit, which is used to establish a daily power consumption model including a power consumption change curve according to the historical power grid power parameters, and generate a power consumption growth rate according to the power consumption change curve; an attenuation estimation unit, which is used to calculate the battery pack attenuation when the expected service life is reached based on the battery pack attenuation characteristics; a power consumption accounting unit, which is used to establish a power consumption model of the battery pack supporting equipment according to the battery pack working characteristics to calculate the maximum power consumption of the battery pack supporting equipment within a charge and discharge power cycle; a configuration compensation unit, which is used to perform compensation calculation on the configuration calculation basic value according to a predetermined strategy to obtain the configuration total power, and configure the battery cluster according to the configuration total power.

[0087] When configuring, the configuration estimation unit first obtains the historical power grid power parameters within the predetermined power consumption radiation range. The historical power grid power parameters are the power consumption data of all power users within the power consumption radiation range, which can be directly obtained from the power grid data. The daily power consumption can be obtained based on the historical power grid power parameters, and then the estimated basic total capacity can be obtained. The estimated basic total capacity is used as the basic value for configuration calculation, providing a basis for subsequent compensation calculations. Since power consumption usually shows an increasing trend in the application area of ​​the energy storage container, if the battery cluster is configured only with the estimated basic total capacity, it will be difficult to meet the power demand after a certain period of time and cannot be used to the expected service life. Therefore, the modeling estimation unit uses the power consumption growth rate to compensate for the estimated basic total capacity. Since the battery pack will gradually decay during use, for example, it decays by about 5% per year. Therefore, in order to make the battery pack capacity adapt to the expected service life, the attenuation estimation unit The unit performs compensation calculation for the battery pack attenuation; at the same time, during the use of the energy storage container, in order to ensure the normal operation of the battery pack, it is usually necessary to equip ancillary equipment such as a heat dissipation device and an environmental monitoring device, and the electricity consumption of these ancillary equipment is also supplied by the battery pack, and the working law of the ancillary equipment has a certain correlation with the working characteristics of the battery pack. Therefore, the electricity consumption model of the ancillary equipment can be established through the electricity consumption accounting unit to obtain the electricity consumption in a charging and discharging cycle, and the compensation for this part of the electricity consumption can ensure the supply of electricity to the electricity-consuming unit; finally, the configuration compensation unit performs a comprehensive compensation calculation on the estimated basic total capacity through the electricity consumption growth rate, the battery pack attenuation and the maximum electricity consumption of the ancillary equipment, so that the obtained total configuration electricity can be applied to the expected service life as much as possible, to prevent the situation where the capacity is too small and repeated expansion is required later, and to avoid excessive one-time cost investment, thereby improving the rationality of cost control.

[0088] A third aspect of an embodiment of the present invention provides a computer device, such as Figure 3 As shown, the computer device includes a processor, a non-volatile storage medium, a memory, and a network interface connected via a system bus. Among them, the non-volatile storage medium of the computer device stores an operating system, a database, and computer-readable instructions. The database may store a control information sequence. When the computer-readable instructions are executed by the processor, the processor can implement a method for digitally configuring an energy storage container. The processor of the computer device is used to provide computing and control capabilities to support the operation of the entire computer device. The memory of the computer device may store computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor can execute a method for digitally configuring an energy storage container. The network interface of the computer device is used to connect and communicate with a terminal. Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] In this embodiment, the processor is used to execute Figure 2 The specific functions of the configuration estimation unit, modeling estimation unit, attenuation estimation unit, power consumption accounting unit and configuration compensation unit are stored in the memory. The program code and various data required to execute the above modules are stored. The network interface is used to transmit data to the user terminal or between the servers. The server in this embodiment can call the program code and data of the server to execute the functions of all sub-modules.

[0090] When configuring computer equipment, first obtain the historical power grid power parameters within the predetermined power radiation range. The historical power grid power parameters are the power consumption data of all power users within the power radiation range, which can be directly obtained from the power grid data. The daily power consumption can be obtained based on the historical power grid power parameters, and then the estimated basic total capacity can be obtained. The estimated basic total is used as the basic value for configuration calculation and provides a basis for subsequent compensation calculations. Since power consumption usually shows an increasing trend in the application area of ​​the energy storage container, if the battery cluster is configured only with the estimated basic total capacity, it will be difficult to meet the power demand after a certain period of time and cannot be used to the expected service life. Therefore, the estimated basic total capacity is compensated by the power growth rate. Since the battery pack will gradually decay during use, for example, decay by about 5% per year, in order to make the battery pack capacity adapt to the expected service life, Compensate for the attenuation of the battery pack; at the same time, during the use of the energy storage container, in order to ensure the normal operation of the battery pack, it is usually necessary to equip it with supporting equipment such as heat dissipation devices and environmental monitoring devices, and the electricity consumed by these supporting equipment is also supplied by the battery pack, and the working law of the supporting equipment has a certain correlation with the working characteristics of the battery pack. Therefore, the power consumption in a charging and discharging cycle can be obtained by establishing a power consumption model of the supporting equipment, and the compensation for this part of the power consumption can ensure the power supply to the power-consuming unit; finally, the estimated basic total capacity is comprehensively compensated by the power consumption growth rate, battery pack attenuation and the maximum power consumption of the supporting equipment, so that the total configured power can be applied to the expected service life as much as possible, preventing the situation where the capacity is too small and repeated expansion is required in the future, avoiding excessive one-time cost investment, and improving the rationality of cost control.

[0091] A fourth aspect of an embodiment of the present invention provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, causes the one or more processors to execute the steps of the method for digitally configuring an energy storage container as described in the first aspect.

[0092] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0093] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which are equivalent modifications and improvements made to the above embodiments based on the essential technology of the present invention, and all of them belong to the protection scope of the present invention.

Claims

1. A digital configuration method for energy storage containers, characterized in that: include: Based on the planned power consumption radiation range and historical power grid power consumption parameters, the estimated basic total capacity currently required is set as the basic value for configuration calculation; Establishing a daily electricity consumption model including an electricity consumption change curve based on historical power grid electricity consumption parameters, and estimating and generating an electricity consumption growth rate based on the electricity consumption change curve; Calculate the battery pack attenuation when the expected service life is reached based on the battery pack attenuation characteristics; Establish a power consumption model for the battery pack supporting equipment based on the working characteristics of the battery pack to calculate the maximum power consumption of the battery pack supporting equipment during a charge and discharge cycle; Performing compensation calculation on the configuration calculation base value according to a predetermined strategy to obtain a configuration total power, and configuring a battery cluster according to the configuration total power; The step of setting the currently required estimated basic total capacity as the configuration calculation basic value based on the predetermined power consumption radiation range and the historical power grid power consumption parameters specifically includes: Retrieving historical grid power consumption parameters of each power user within a predetermined power consumption radiation range, wherein the historical grid power consumption parameters include daily power consumption; Summarize the daily electricity consumption of each electricity-consuming unit, and use the average value within the predetermined calculation period as the theoretical basis to obtain the total daily electricity consumption within the predetermined electricity radiation range; According to the total daily electricity consumption, the estimated basic total capacity currently required is set as the basic value for configuration calculation; The method of setting the currently required estimated basic total capacity as the configuration calculation basic value according to the total daily power consumption is specifically: Determine, based on the charging efficiency of the battery cluster, whether the battery cluster can be fully charged during the off-peak period of the power grid by taking the total daily power consumption as the total capacity of the battery cluster; If yes, the total daily electricity consumption is set as the estimated basic total capacity; otherwise, the total amount of electricity that can be charged during the off-peak period of the power grid is set as the estimated basic total capacity; The performing compensation calculation on the configuration calculation base value according to a predetermined strategy to obtain the configuration total power specifically includes: Let the estimated total base capacity be V 基 , power consumption growth rate is α, battery pack attenuation V 衰 and the maximum power consumption is V 耗 , calculate the total power V according to the preset calculation formula 总 ; The predetermined calculation formula is: V 总 =V 基 + (1 + α) T * V 基 +V 衰 +V 耗 , where T is the fixed number of cycles included in the expected useful life.

2. The method for digital configuration of energy storage containers according to claim 1, characterized in that: The estimating and generating the electricity consumption growth rate according to the electricity consumption change curve specifically includes: Determining the power consumption of each statistical node in the power consumption change curve; Calculate the month-on-month growth rate of each statistical node based on the power consumption of each statistical node; The month-on-month growth rates are ranked and the median is taken as the electricity consumption growth rate.

3. The method for digital configuration of energy storage containers according to claim 2, characterized in that: The calculation of the battery pack attenuation amount when the expected service life is reached based on the battery pack attenuation characteristics specifically includes: Obtain the attenuation rate of the battery pack within a fixed period based on the attenuation characteristics of the battery pack; Calculate the fixed number of cycles included in the expected useful life; The estimated basic total capacity is used as the configuration calculation basis to obtain the battery pack attenuation corresponding to the expected service life.

4. The method for digital configuration of energy storage containers according to claim 1, characterized in that: The configuring of the battery cluster according to the configured total power specifically includes: Obtaining an estimated number of battery packs based on the total power of the configuration; Based on the estimated number of battery packs, the specifications and quantity of the battery cluster are calculated according to the design requirements of the battery cluster to configure the battery cluster.

5. A digital configuration system for energy storage containers, characterized in that: The method for digitally configuring an energy storage container according to any one of claims 1 to 4 comprises: A configuration estimation unit is used to set the currently required estimated basic total capacity as a configuration calculation basic value based on a predetermined power radiation range and historical power grid power parameters; A modeling and estimation unit is used to establish a daily electricity consumption model including an electricity consumption change curve according to historical power grid electricity consumption parameters, and to estimate and generate an electricity consumption growth rate according to the electricity consumption change curve; An attenuation estimation unit, used to calculate the attenuation of the battery pack when the expected service life is reached based on the attenuation characteristics of the battery pack; The power consumption calculation unit is used to establish a power consumption model of the battery pack supporting equipment according to the working characteristics of the battery pack to calculate the maximum power consumption of the battery pack supporting equipment within a charge and discharge cycle; The configuration compensation unit is used to perform compensation calculation on the configuration calculation basic value according to a predetermined strategy to obtain a configuration total power, and configure the battery cluster according to the configuration total power.

6. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the processor executes the steps of the method for digital configuration of an energy storage container as claimed in any one of claims 1 to 4.

7. A storage medium storing computer-readable instructions, wherein when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for digitally configuring an energy storage container as claimed in any one of claims 1 to 4.

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