Digital configuration method and system for energy storage container, device, and storage medium

Abstract

Disclosed are a digital configuration method and system for an energy storage container, a device, and a storage medium. The method comprises: on the basis of a preset power consumption coverage area and a historical power-grid power consumption parameter, setting the currently required estimated total base capacity as a configuration calculation base value; estimating and generating a power consumption growth rate on the basis of a power consumption change curve; calculating the amount of battery pack degradation at the end of an expected service life; calculating the maximum power consumption of battery pack supporting equipment within a single charge-discharge cycle; and performing compensation calculation on the configuration calculation base value on the basis of a preset strategy to obtain total configured power, and configuring battery clusters on the basis of the total configured power. Comprehensive compensation calculation is performed on the estimated total base capacity on the basis of the power consumption growth rate, the amount of battery pack degradation, and the maximum power consumption of the battery pack supporting equipment, such that the obtained total configured power can be optimally utilized throughout the expected service life, preventing excessively small capacity and excessively high one-time cost investment, thereby improving the rationality of cost control.

Description

Digital configuration method, system, device and storage medium for energy storage container TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage container processing, in particular to a digital configuration method, system, device and storage medium for energy storage container. BACKGROUND

[0002] The energy storage container is a mobile battery energy storage system taking a container as a bearing main body, which has the advantages of high energy density, strong expandability, convenient long-distance transportation, convenient operation and maintenance, etc., and is widely used in power systems for storing and releasing electric energy to meet the needs of power system peak regulation and frequency regulation.

[0003] At present, the energy storage container is usually configured according to the current energy storage demand, and only the total capacity of the energy storage container is concerned during configuration, while the actual energy loss generated in the operation process of the battery pack attenuation, energy transfer process loss, heat dissipation system and other supporting devices is ignored. Therefore, the energy storage container configured according to the current method can meet the demand at the initial stage of use, but as the use time increases, the influence of factors such as battery pack attenuation on the energy storage effect of the energy storage container will gradually deepen, resulting in that the energy storage container may be difficult to meet the actual use demand after a period of use, and needs to be expanded to optimize the performance of the energy storage container, resulting in high subsequent maintenance cost. If a larger capacity is configured from the beginning, it will result in high one-time investment cost in the early stage. SUMMARY

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present application is to provide a digital configuration method, system, device and storage medium for energy storage container, which has the advantages of reasonable configuration to have sufficient capacity within the expected working time and reduce cost.

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

[0006] According to a first aspect of the embodiment of the present application, a digital configuration method for energy storage container is provided, comprising:

[0007] Setting the estimated basic total capacity required at present as a configuration calculation basis value based on the predetermined power consumption radiation range and historical power grid power consumption parameters;

[0008] Establishing a daily power consumption model containing a power consumption change curve according to the historical power grid power consumption parameters, and generating a power consumption growth rate according to the power consumption change curve;

[0009] Calculating the battery pack attenuation amount when reaching the expected service life based on the battery pack attenuation characteristics;

[0010] The battery pack supporting equipment power consumption model is established according to the battery pack working characteristics to calculate the maximum power consumption of the battery pack supporting equipment in a charging and discharging cycle.

[0011] The configuration total power is calculated according to the predetermined strategy, and the battery cluster is configured according to the configuration total power.

[0012] The above technical solutions are implemented. When configuring, the historical power grid power consumption parameters in the predetermined power consumption radiation range are obtained first. The historical power grid power consumption parameters are the power consumption data of all power consumption units in the power consumption radiation range, which can be directly obtained from the power grid data. According to the historical power grid power consumption parameters, the daily power consumption can be obtained, and then the estimated basic total capacity is obtained. The estimated basic total capacity is used as the configuration calculation basis value to provide a basis for subsequent compensation calculation. Since the power consumption usually shows a growing trend in the application area of the energy storage container, if the battery cluster is configured only according to the estimated basic total capacity, it will be difficult to meet the power consumption demand when a certain period is reached, and it cannot be applied 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, by about 5% per year, in order to make the battery pack capacity suitable for use to the expected service life, the battery pack decay amount is compensated. At the same time, in the use process of the energy storage container, in order to ensure the normal operation of the battery pack, heat dissipation devices, environmental monitoring devices and other supporting equipment are usually required. The power consumption of these supporting equipment is also supplied by the battery pack. The working rules of the supporting equipment and the working characteristics of the battery pack have a certain correlation. Therefore, the power consumption in a charging and discharging cycle can be obtained by establishing the power consumption model of the supporting equipment, and the power consumption of the supporting equipment is compensated. Finally, the estimated basic total capacity is compensated by the power consumption growth rate, the battery pack decay amount and the maximum power consumption of the supporting equipment, so that the configuration total power can be applied to the expected service life as much as possible, preventing the situation of too small capacity and subsequent repeated expansion, and avoiding large one-time cost investment, improving the rationality of cost control.

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

[0014] The historical power grid power consumption parameters of each power consumption unit in the predetermined power consumption radiation range are retrieved, and the historical power grid power consumption parameters include daily power consumption;

[0015] The daily power consumption of each power consumption unit is summarized, and the average value in the predetermined calculation period is used as the theoretical basis value to obtain the daily total power consumption in the predetermined power consumption radiation range;

[0016] set the estimated basic total capacity required at present as the configuration calculation basis value according to the daily total electricity consumption.

[0017] The above technical solution is implemented. Since the energy storage container is usually used to supply power to the electricity unit during the electricity peak period or the electricity flat peak period and charge the battery pack during the electricity valley period after being put into use, the daily electricity consumption of each electricity unit in a predetermined calculation period is summarized when the battery pack is configured, the average value is calculated as a theoretical basis value, the daily total electricity consumption obtained is more reasonable, and finally the estimated basic total capacity is set according to the daily total electricity consumption, thereby improving the rationality of the configuration.

[0018] In some exemplary embodiments, the setting of the estimated basic total capacity required at present as the configuration calculation basis value according to the daily total electricity consumption is specifically:

[0019] determining whether the battery cluster can be fully charged during the electricity valley period of the power grid according to the battery cluster charging efficiency with the daily total electricity consumption as the total capacity of the battery cluster;

[0020] If yes, the daily total electricity consumption is set as the estimated basic total capacity; otherwise, the total chargeable amount during the electricity valley period of the power grid is set as the estimated basic total capacity.

[0021] The above technical solution is implemented. Since the purpose of using the energy storage container is to save electricity cost through the electricity cost difference between the electricity valley period and the electricity peak period, the total amount chargeable during the electricity valley period is determined according to the charging efficiency of the battery cluster, which is compared with the daily total electricity consumption, so that the estimated basic total capacity set is more reasonable.

[0022] In some exemplary embodiments, the estimating and generating of the electricity growth rate according to the electricity consumption change curve specifically include:

[0023] determining the electricity consumption of each statistical node in the electricity consumption change curve;

[0024] calculating the month-on-month growth rate of each statistical node according to the electricity consumption of each statistical node;

[0025] sorting each month-on-month growth rate and taking the median as the electricity growth rate.

[0026] The above technical solution is implemented. The month-on-month growth rate of each statistical node is calculated, and the median is taken as the electricity growth rate, thereby improving the accuracy of the estimation.

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

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

[0029] Calculating the number of fixed periods contained in the expected service life;

[0030] Taking the estimated total capacity as a configuration calculation basis to obtain the battery pack attenuation amount corresponding to the expected service life.

[0031] The above technical solution is realized, and the battery pack attenuation amount corresponding to the expected service life is calculated based on the attenuation rate, so that the estimation of the battery pack attenuation amount is realized.

[0032] In some exemplary embodiments, the compensation calculation of the configuration calculation basis value according to the predetermined strategy to obtain the configuration total capacity specifically includes:

[0033] Let the estimated total capacity be V 基 , the power consumption growth rate be α, the battery pack attenuation amount be V 衰 , and the maximum power consumption be V 耗 . The compensation calculation is performed according to a predetermined calculation formula to obtain the configuration total capacity V 总 .

[0034] The predetermined calculation formula is: V 总 = V 基 +(1+α) T *V 基 +V 衰 +V 耗 , wherein T is the number of fixed periods contained in the expected service life.

[0035] The above technical solution is realized, and the configuration total capacity estimation calculation is realized to serve as a basis for the configuration of the battery cluster.

[0036] In some exemplary embodiments, the configuration of the battery cluster according to the configuration total capacity specifically includes:

[0037] Obtaining an estimated number of battery packs according to the configuration total capacity;

[0038] Calculating the specifications and number of battery clusters according to the design requirements of the battery cluster based on the estimated number of battery packs to configure the battery cluster.

[0039] The above technical solution is realized. Since the capacity of a single battery pack of different types is certain, the number of battery packs to be configured can be obtained by dividing the configuration total capacity by the capacity of a single battery pack and rounding. In use, the battery packs are 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, so that the number of battery pack groups to be configured can be reasonably calculated.

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

[0041] A configuration estimation unit is configured to set an estimated basic total capacity required at present as a configuration calculation basis value based on a predetermined electricity radiation range and historical power grid electricity parameters;

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

[0043] A decay estimation unit is configured to calculate a battery pack decay amount at a time when a desired service life is reached based on battery pack decay characteristics;

[0044] An electricity accounting unit is configured to establish an electricity model of battery pack supporting equipment according to battery pack working characteristics to account for the maximum electricity amount of the battery pack supporting equipment in a one-time charging and discharging electricity cycle;

[0045] A configuration compensation unit is configured to perform compensation calculation on the configuration calculation basis value according to a predetermined strategy to obtain a configuration total electricity amount, and to configure a battery cluster according to the configuration total electricity amount.

[0046] According to a third aspect of the embodiments of the present disclosure, a computer device is provided, comprising a memory and a processor, the memory storing computer readable instructions, the computer readable instructions being executed by the processor to cause the processor to perform the steps of the digital configuration method of the energy storage container according to the first aspect.

[0047] According to a fourth aspect of the embodiments of the present disclosure, a storage medium storing computer readable instructions is provided, the computer readable instructions being executed by one or more processors to cause the one or more processors to perform the steps of the digital configuration method of the energy storage container according to the first aspect.

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

[0049] The embodiment of the application provides a kind of energy storage container digital configuration method, system, equipment and storage medium, when configuring, first, the historical power grid power parameter in the predetermined power radiation range is obtained, the historical power grid power parameter is the power data of all power units in power radiation range, can be obtained directly from power grid data, according to the historical power grid power parameter, the daily power consumption can be obtained, and then the estimated basic total capacity is obtained, the estimated basic total capacity is configured as the calculation basis value, to provide the basis for subsequent compensation calculation;Since the application area of energy storage container, power consumption usually shows a growing trend, if only the estimated basic total capacity is configured battery cluster, when reaching a certain period, it will be difficult to meet the power demand, cannot be applied to the expected service life, therefore, the estimated basic total capacity is compensated by power growth rate, and since battery pack will gradually attenuate in use, for example, about 5% per year, therefore, in order to adapt the capacity of battery pack to the expected service life, the attenuation of battery pack is compensated;At the same time, in the use process of energy storage container, in order to ensure the normal operation of battery pack, it is usually necessary to be equipped with cooling device, environmental monitoring device and other supporting equipment, and the power of these supporting equipment is also supplied by battery pack, and the working rule of supporting equipment and the working characteristic of battery pack are related, so the power consumption in a charging and discharging cycle can be obtained by establishing the power consumption model of supporting equipment, and the power consumption is compensated to ensure the power supply of power unit;Finally, the estimated basic total capacity is compensated by power growth rate, battery pack attenuation and maximum power consumption of supporting equipment, so that the configured total power can be applied to the expected service life as much as possible, to prevent the situation of small capacity and subsequent repeated expansion, and avoid large one-time cost investment, improve the rationality of cost control. BRIEF DESCRIPTION OF DRAWINGS

[0050] Fig. 1 is a method flow chart of a kind of energy storage container digital configuration method in the embodiment of the application.

[0051] Fig. 2 is a structure schematic view of a kind of energy storage container digital configuration system in the embodiment of the application.

[0052] Fig. 3 is the internal structure schematic view of a kind of computer equipment in the embodiment of the application. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0054] As shown in FIG. 1, the first aspect of the embodiment of the present application provides a digital configuration method of energy storage container, comprising:

[0055] S100, setting the estimated basic total capacity required at present as the configuration calculation basic value based on the predetermined electricity radiation range and the historical power grid electricity parameter.

[0056] The predetermined electricity radiation range is all electricity units in the planning use area of the energy storage container. In order to make the subsequent configuration estimation more accurate, the distance between each electricity unit and the preset position of the energy storage container is usually considered when planning the predetermined electricity radiation range, and the loss in the process of power transmission is estimated through the distance. The historical power grid electricity parameter can be obtained from the power grid monitoring database in network, of course, it can be understood that the historical power grid electricity parameter is the historical power grid electricity parameter of all electricity units.

[0057] Specifically, step S100 comprises:

[0058] S101, calling the historical power grid electricity parameter of each electricity unit in the predetermined electricity radiation range, wherein the historical power grid electricity parameter includes daily electricity consumption.

[0059] S102, summing up the daily electricity consumption of each electricity unit, and taking the average value in the predetermined calculation period as the theoretical basic value to obtain the daily total electricity consumption in the predetermined electricity radiation range. The predetermined calculation period can be, for example, the last 15 days, 1 month, etc. In actual calculation of the average value, the effective data in the predetermined calculation period is taken. Since there is a significant difference between the electricity consumption on weekdays and weekends, the electricity consumption on weekends is not meaningful for calculation, that is, the electricity consumption corresponding to the weekend can be regarded as invalid data, and the electricity consumption corresponding to the weekday is effective data. The daily total electricity consumption is the sum of the daily electricity consumption of each electricity unit, specifically, the average value of the daily electricity consumption of each electricity unit is determined first, and then the sum of the average values is obtained to obtain the daily total electricity consumption.

[0060] S103, setting the estimated basic total capacity required at present as the configuration calculation basic value according to the daily total electricity consumption.

[0061] Since the energy storage container is usually used to supply power to the electricity unit during the electricity peak period or the electricity flat peak period after being put into use, and the battery pack is charged during the electricity valley period, the daily electricity consumption is taken as the reference when configuring the battery pack. In the calculation, the daily electricity consumption of each electricity unit in the predetermined calculation period is summarized, and the average value is calculated as the theoretical basic value, so that the obtained daily total electricity consumption is more reasonable, and finally the estimated basic total capacity is set according to the daily total electricity consumption, thereby improving the rationality of the configuration.

[0062] Further, S103 specifically comprises:

[0063] S1031, judging whether the battery cluster can be fully charged at the power grid electricity low valley period according to the total daily electricity consumption and the charging efficiency of the battery cluster, wherein the total charging capacity can be calculated according to the charging efficiency and the length of the low valley period, for example, the charging efficiency is η, the charging capacity per hour, and the length of the low valley period is 8 hours, then the total charging capacity V 充 = 8 * η, and the calculated value is compared with the total daily electricity consumption, if V 充 ≥ the total daily electricity consumption, it is determined to be yes.

[0064] S1032, if yes, the total daily electricity consumption is set as the estimated basic total capacity, since the total daily electricity consumption meets the current electricity demand, the total daily electricity consumption is used as the estimated basic total capacity, which can meet the electricity demand within a reasonable capacity configuration.

[0065] S1033, otherwise, the total chargeable capacity during the power grid electricity low valley period is used as the estimated basic total capacity, since the energy storage container is charged during the low valley period every day to achieve the purpose of cost saving, and if the capacity exceeds the charging capacity during the low valley period, the excess part cannot achieve the purpose of cost saving in the short term, therefore, the total charging capacity is used as the estimated basic total capacity to prevent excessive one-time investment.

[0066] Since the purpose of using the energy storage container is to save electricity cost by the electricity cost difference between the electricity low valley period and the electricity peak period, the total chargeable capacity during the electricity low valley period is determined according to the charging efficiency of the battery cluster, which is compared with the total daily electricity consumption, so that the estimated basic total capacity is more reasonable.

[0067] S200, establishing a daily electricity model containing an electricity consumption change curve according to historical power grid electricity parameters, and generating an electricity growth rate according to the electricity consumption change curve.

[0068] Since the historical power grid electricity parameters are known data, the electricity consumption change curve can be generated according to the data, and then the daily electricity model is obtained to evaluate the electricity related situation, the change of daily electricity consumption can be judged through the electricity consumption change curve, that is, the change trend in the continuous statistical period, since the electricity consumption usually shows an increasing trend with the passage of time, the part with obvious change trend can be taken as the basis for calculating the electricity growth rate.

[0069] Among them, generating an electricity growth rate according to the electricity consumption change curve specifically includes:

[0070] S201, determine the electricity consumption of each statistical node in the electricity consumption curve, wherein the statistical node is usually monthly, quarterly or annual, and through a long enough statistical period as a statistical node, the change of electricity consumption can be more accurately reflected.

[0071] S202, calculate the month-on-month growth rate of each statistical node according to the electricity consumption of each statistical node, and the month-on-month growth rate is calculated as: (current period electricity consumption - last period electricity consumption) / last period electricity consumption * 100%, as described above, for example, taking monthly as a statistical node to calculate the month-on-month growth rate, the growth rate of this month compared with last month can be calculated.

[0072] S203, sort each of the month-on-month growth rates, and take the median as the electricity growth rate, because the growth rates of adjacent statistical nodes are high and low when electricity is consumed, and there may also be negative growth, at this time, by sorting the calculated month-on-month growth rates, the median is selected as the electricity growth rate, so that the growth rate estimation is more reasonable and the estimation accuracy is improved. When sorting, negative growth data can also be removed before sorting to take the median.

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

[0074] Wherein, S300 specifically includes:

[0075] S301, obtain the attenuation rate of the battery pack in a certain fixed period based on the battery pack attenuation characteristics, and the fixed period is usually set to 1 year.

[0076] S302, calculate the number of fixed periods contained in the expected service life, for example, the expected service life is 10 years, and the number of fixed periods is 10.

[0077] S303, take the estimated basic total capacity as the configuration calculation basis value to obtain the corresponding battery pack attenuation amount when the expected service life is reached, because the attenuation rate and the number of fixed periods are known, the corresponding battery pack attenuation amount can be calculated. For easy calculation, for example, the attenuation rate can be taken as 1%, the estimated basic total capacity is V 基 , the number of fixed periods is 10, then the battery pack attenuation amount = V 基 -(1-1%) 10 *V 基 .

[0078] S400, 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 a charging and discharging power consumption cycle. The battery pack supporting equipment may include, for example, an environmental monitoring device, a monitoring device, a lighting device, a heat dissipation device, a fire extinguishing device, etc. These supporting equipment are usually related to the working characteristics of the battery pack. The environmental monitoring device is usually 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 associated with the working power of the battery pack. Other devices are usually started only in specific situations. Therefore, in order to facilitate calculation, only the power consumption of the environmental monitoring device and the heat dissipation device can be calculated. The power consumption model of the battery pack supporting equipment can be established according to historical experience data. A charging and discharging power consumption cycle usually refers to one day. Of course, in some cases, one charging can also supply power for 2-3 days or even longer. At this time, the actual working characteristics of the battery pack can be determined, and the power consumption of the battery pack supporting equipment can be reflected in the power consumption model, and the historical experience data can be used as a reference.

[0079] S500, compensate the configuration calculation base value according to a predetermined strategy to obtain a configuration total power, and configure the battery cluster according to the configuration total power.

[0080] In actual configuration, the energy storage container can be used in peak time after completing charging in low valley period, so that the capacity set is more reasonable. The compensation calculation of the configuration calculation base value according to the predetermined strategy to obtain the configuration total power specifically includes:

[0081] S501, record the estimated base total capacity as V 基 , the power consumption growth rate is α, the battery pack attenuation amount is V 衰 , and the maximum power consumption is V 耗 . The compensation calculation according to the predetermined calculation formula obtains the configuration total power V 总 . The predetermined calculation formula is: V 总 = V 基 + (1+α) T * V 基 + V 衰 + V 耗 , wherein T is the number of fixed periods contained in the expected service life, so as to realize the estimation and calculation of the configuration total power, which serves as the basis for the configuration reference of the battery cluster.

[0082] Further, configuring the battery cluster according to the configuration total power specifically includes:

[0083] S502, obtain the estimated number of battery packs according to the configuration total power. Since the capacity of a single battery pack of different types is constant, the number of battery packs to be configured can be obtained by dividing the configuration total power by the capacity of a single battery pack and rounding.

[0084] S503, calculate the specifications and number of battery clusters based on the estimated number of battery packs according to the design requirements of the battery cluster to configure the battery cluster. 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 estimated. Usually, the number of battery packs is an integer multiple of the number of battery clusters, so that the initial configuration can achieve a reasonable full configuration state.

[0085] In the configuration, first, the historical power grid power consumption parameters in the predetermined power consumption radiation range are obtained. The historical power grid power consumption parameters are the power consumption data of all power consumption units in the power consumption radiation range, which can be directly obtained from the power grid data. According to the historical power grid power consumption parameters, the daily power consumption can be obtained, and then the estimated basic total capacity can be obtained. The estimated basic total capacity is used as a configuration calculation basis value to provide a basis for subsequent compensation calculation. Since the power consumption in the application area of the energy storage container usually shows a growing trend, if only the estimated basic total capacity is configured for the battery cluster, it will be difficult to meet the power consumption demand when a certain period is reached, and it cannot be applied to the expected service life. Therefore, the estimated basic total capacity is compensated by the power consumption growth rate. Since the battery packs will gradually degrade during use, for example, by about 5% per year, in order to adapt the battery pack capacity to the expected service life, the battery pack degradation amount is compensated. At the same time, in the use of the energy storage container, in order to ensure the normal operation of the battery pack, it is usually necessary to be equipped with cooling devices, environmental monitoring devices and other supporting equipment. The power consumption of these supporting equipment is also supplied by the battery pack. The working rules of the supporting equipment and the working characteristics of the battery pack have certain correlation. 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 power consumption of this part is compensated to ensure the power supply to the power consumption unit. Finally, the estimated basic total capacity is compensated by the power consumption growth rate, the battery pack degradation amount and the maximum power consumption of the supporting equipment, so that the configuration total capacity can be applied to the expected service life as much as possible, preventing the situation of too small capacity and subsequent repeated expansion, and avoiding large one-time cost investment, improving the rationality of cost control.

[0086] The second aspect of the embodiment of the present application provides a digital configuration system for an energy storage container, as shown in FIG. 2, comprising: a configuration estimation unit configured to set an estimated basic total capacity required at present as a configuration calculation basis value based on a predetermined electricity radiation range and historical power grid electricity parameters; a modeling estimation unit configured to establish a daily electricity model containing an electricity variation curve according to the historical power grid electricity parameters, and to estimate an electricity growth rate according to the electricity variation curve; a decay estimation unit configured to calculate a battery pack decay amount at a desired service life based on battery pack decay characteristics; an electricity accounting unit configured to establish an electricity model of battery pack supporting equipment according to battery pack operating characteristics to account for the maximum electricity consumption of the battery pack supporting equipment in a one-time charging and discharging electricity cycle; and a configuration compensation unit configured to compensate the configuration calculation basis value according to a predetermined strategy to obtain a configuration total electricity amount, and to configure a battery cluster according to the configuration total electricity amount.

[0087] In the configuration, the configuration estimation unit first obtains historical power grid electricity parameters in a predetermined electricity radiation range. The historical power grid electricity parameters are electricity data of all electricity units in the electricity radiation range, which can be directly obtained from the power grid data. According to the historical power grid electricity parameters, the daily electricity consumption can be obtained, and then the estimated basic total capacity is obtained, which is used as the configuration calculation basis value to provide a basis for subsequent compensation calculation. Since the electricity consumption usually shows a growing 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 electricity demand when reaching a certain period, and it cannot be applied to the desired service life. Therefore, the modeling estimation unit compensates the estimated basic total capacity with the electricity growth rate. Since the battery pack will gradually decay during use, for example, about 5% per year, the decay estimation unit compensates the battery pack decay amount to enable the battery pack capacity to be adapted to the desired service life. At the same time, in the use of the energy storage container, in order to ensure the normal operation of the battery pack, heat dissipation devices, environmental monitoring devices and other supporting equipment are usually required. The electricity of these supporting equipment is also supplied by the battery pack. The working rules of the supporting equipment are related to the operating characteristics of the battery pack. Therefore, the electricity model of the supporting equipment can be established by the electricity accounting unit to obtain the electricity consumption in a one-time charging and discharging electricity cycle. Compensation of this part of the electricity consumption can ensure the supply of electricity to the electricity unit. Finally, the configuration compensation unit comprehensively compensates the estimated basic total capacity with the electricity growth rate, the battery pack decay amount and the maximum electricity consumption of the supporting equipment, so that the configuration total electricity amount can be applied to the desired service life as much as possible, preventing the situation of too small capacity requiring repeated expansion later, and avoiding too large one-time cost investment, thereby improving the rationality of cost control.

[0088] The third aspect of the embodiment of the present application provides a computer device, as shown in FIG. 3, which comprises a processor, a non-volatile storage medium, a memory and a network interface connected through a system bus. The non-volatile storage medium of the computer device stores an operating system, a database and computer readable instructions, the database can store control information sequences, and the computer readable instructions can make the processor realize the energy storage container digital configuration method when executed by the processor. 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 can store computer readable instructions, which can make the processor execute the energy storage container digital configuration method when executed by the processor. The network interface of the computer device is used to connect and communicate with the terminal. Those skilled in the art can understand that the structure shown in FIG. 3 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can comprise more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0089] The processor in the embodiment is used to execute the specific functions of the configuration estimation unit, the modeling estimation unit, the attenuation estimation unit, the electricity consumption accounting unit and the configuration compensation unit in FIG. 2, and the memory stores the program codes and various data required for executing the above modules. The network interface is used for data transmission between the user terminal or the server. The server in the embodiment can call the program codes and data of the server to execute the functions of all sub-modules.

[0090] When the computer device is configured, the historical power grid power consumption parameters in the predetermined power consumption radiation range are first acquired, the historical power grid power consumption parameters are power consumption data of all power consumption units in the power consumption radiation range, and the historical power grid power consumption parameters can be directly obtained from power grid data, according to the historical power grid power consumption parameters, the daily power consumption can be obtained, and then the estimated basic total capacity is obtained, the estimated basic total capacity is taken as a configuration calculation basis value, and provides a basis for subsequent compensation calculation; since the power consumption usually shows a growth trend in the application area of the energy storage container, if only the estimated basic total capacity is configured for the battery cluster, the power consumption demand cannot be met after a certain period, and the expected service life cannot be applied, therefore, the estimated basic total capacity is compensated by the power consumption growth rate, and since the battery pack gradually decays in the use process, for example, about 5% per year, in order to adapt the battery pack capacity to the expected service life, the battery pack decay amount is compensated; at the same time, in the use process of the energy storage container, in order to ensure the normal operation of the battery pack, a heat dissipation device, an environment monitoring device and other supporting equipment are usually required, and the power consumption of the supporting equipment is also supplied by the battery pack, and the working law of the supporting equipment and the working characteristics of the battery pack have a certain correlation, 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 power consumption is compensated, so that the power supply to the power consumption unit is ensured; finally, the estimated basic total capacity is compensated by the power consumption growth rate, the battery pack decay amount and the maximum power consumption of the supporting equipment, so that the configured total power capacity can be applied to the expected service life as much as possible, the situation that the capacity is too small and subsequent expansion is required is prevented, and the one-time cost investment is avoided, and the rationality of cost control is improved.

[0091] The fourth aspect of the embodiment of the present application provides a storage medium storing computer readable instructions, when the computer readable instructions are executed by one or more processors, the one or more processors execute the steps of the energy storage container digital configuration method according to the first aspect.

[0092] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the computer program can be stored in a computer readable storage medium, and when the program is executed, the processes of the above-mentioned embodiments of each method can be included. The storage medium can be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0093] The above embodiments only express several implementation manners of the present application, the description is more specific and detailed, but cannot be understood as the limitation of the scope of the patent. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which are equivalent modifications and evolutions of the above embodiments according to the essential technology of the present application, and these all belong to the protection scope of the present application.

Claims

1. A method for digital configuration of an energy storage container, characterized by, The method comprises the following steps: Setting the estimated basic total capacity required at present as a configuration calculation basis value based on a predetermined power consumption radiation range and historical power grid power consumption parameters; Establishing a daily power consumption model containing a power consumption change curve according to the historical power grid power consumption parameters, and generating a power consumption growth rate according to the power consumption change curve; Calculating the attenuation amount of the battery pack when the expected service life is reached based on the attenuation characteristics of the battery pack; Establishing 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 a primary charging and discharging power consumption cycle; According to a predetermined strategy, the configuration calculation basis value is compensated to obtain a configuration total power, and the battery cluster is configured according to the configuration total power.

2. The method of claim 1, wherein, The step of setting the estimated basic total capacity required at present as a configuration calculation basis value based on a predetermined power consumption radiation range and historical power grid power consumption parameters specifically comprises the following steps: Accessing the historical power grid power consumption parameters of each power consumption unit in the predetermined power consumption radiation range, wherein the historical power grid power consumption parameters include daily power consumption; Summarizing the daily power consumption of each power consumption unit, and taking the average value in a predetermined calculation period as a theoretical basis value to obtain the daily total power consumption in the predetermined power consumption radiation range; Setting the estimated basic total capacity required at present as a configuration calculation basis value according to the daily total power consumption.

3. The method of claim 2, wherein, The step of setting the estimated basic total capacity required at present as a configuration calculation basis value according to the daily total power consumption specifically comprises the following steps: According to the battery cluster charging efficiency, it is judged whether the battery cluster can be fully charged at the power grid power consumption low valley period with the daily total power consumption as the total capacity of the battery cluster; If yes, the daily total power consumption is set as the estimated basic total capacity; otherwise, the total power that can be charged at the power grid power consumption low valley period is set as the estimated basic total capacity.

4. The method of claim 2 or 3, wherein, The step of generating a power consumption growth rate according to the power consumption change curve specifically comprises the following steps: Determining the power consumption of each statistical node in the power consumption change curve; Calculating the year-on-year growth rate of each statistical node according to the power consumption of each statistical node; Sorting each year-on-year growth rate, and taking the median as the power consumption growth rate.

5. The method of claim 4, wherein, The step of 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 comprises the following steps: Based on the attenuation characteristics of the battery pack, the attenuation rate of the battery pack in a certain fixed period is obtained; The number of fixed periods contained in the expected service life is calculated; The estimated basic total capacity is taken as the configuration calculation basis value to obtain the corresponding battery pack attenuation amount at the expected service life.

6. The method of claim 1, wherein, The step of compensating the configuration calculation basis value according to a predetermined strategy to obtain a configuration total power specifically comprises the following steps: The estimated total capacity is V 基 , the battery pack attenuation amount V 衰 , and the maximum power consumption V 耗 , according to the predetermined accounting formula to obtain the total power configuration V 总 ; The predetermined accounting formula is: V 总 = V 基 + (1 + a) T * V 基 + V 衰 + V 耗 wherein T is the number of fixed periods included in the expected service life.

7. The method of claim 6, wherein, The step of configuring the battery cluster according to the configuration total power specifically comprises the following steps: According to the configuration total power, the estimated number of battery packs is obtained; Based on the estimated number of battery packs, the specifications and number of battery clusters are calculated according to the design requirements of the battery cluster to configure the battery cluster.

8. A digital configuration system for energy storage containers, characterized by, The method comprises the following steps: A configuration estimation unit is configured to set the estimated basic total capacity required at present as a configuration calculation basis value based on a predetermined power consumption radiation range and historical power grid power consumption parameters; A modeling estimation unit is configured to establish a daily power consumption model containing a power consumption change curve according to the historical power grid power consumption parameters, and generate a power consumption growth rate according to the power consumption change curve; An attenuation estimation unit is configured to calculate the battery pack attenuation amount at the time of reaching the expected service life based on the battery pack attenuation characteristics; An electricity consumption calculation unit is configured to establish an electricity consumption model of the battery pack supporting equipment according to the battery pack operating characteristics to calculate the maximum electricity consumption of the battery pack supporting equipment in a one-time charging and discharging electricity consumption cycle; A configuration compensation unit is configured to compensate the configuration calculation base value according to a predetermined strategy to obtain a configuration total electricity amount, and configure the battery cluster according to the configuration total electricity amount.

9. A computer device, comprising: A storage medium having stored computer readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the energy storage container digital configuration method of any one of claims 1 to 7.

10. A storage medium having stored computer readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the energy storage container digital configuration method of any one of claims 1 to 7.

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