Intelligent scheduling method and device for energy storage equipment, computer equipment and storage medium

Abstract

The invention discloses an energy storage equipment intelligent scheduling method and device, computer equipment and a storage medium, and the method comprises the steps: determining corresponding charging and discharging strategies of target energy storage equipment in different time ranges, the charging and discharging strategies comprising a charging strategy and / or a discharging strategy; determining issuing time of each charging and discharging strategy; based on the issuing time, a charging and discharging execution instruction is sent to the target energy storage equipment, and the charging and discharging execution instruction comprises a charging and discharging strategy corresponding to the issuing time, so that the target energy storage equipment executes corresponding operation according to the charging and discharging strategy. The charging and discharging strategies corresponding to each energy storage device in different time ranges can be configured in advance, the issuing time of each charging and discharging strategy can be configured so as to realize cyclic issuing and dynamic adjustment of the charging and discharging strategies, the charging and discharging flexibility is improved, the targeted charging and discharging strategies can be formulated according to the characteristics of the energy storage devices, and the charging and discharging efficiency is improved. The burden of the energy storage equipment is reduced, and the service life of the energy storage equipment can be prolonged to a certain extent.

Description

Technical Field

[0001] This invention relates to the field of charging operation technology, and in particular to an intelligent scheduling method, device, computer equipment, and storage medium for energy storage equipment. Background Technology

[0002] In the current context of rapid reshaping of the energy landscape, energy storage technology has risen to a core position in energy system innovation. As the core carrier in energy storage architecture, energy storage devices are widely and deeply integrated into the optimization of power systems, the upgrading of electric vehicle charging networks, and the vigorous development of distributed energy systems.

[0003] However, current energy storage devices typically employ a fixed energy storage and discharge method, meaning they are charged and discharged within fixed time periods, such as charging at night and discharging during the day. Since energy storage devices in different charging locations have varying charging needs—for example, in an industrial park where there are significant differences in electricity consumption between day and night, and between weekdays and weekends—the existing fixed energy storage and discharge method lacks flexibility and does not fully consider the characteristics of different energy storage devices. This results in low charging and discharging efficiency, easily increases the burden on energy storage devices, and may even affect their lifespan. Summary of the Invention

[0004] Therefore, it is necessary to provide an intelligent scheduling method, device, computer equipment, and storage medium for energy storage equipment to address the above-mentioned technical problems and solve at least one of the problems existing in the prior art.

[0005] Firstly, a method for intelligent scheduling of energy storage devices is provided, including:

[0006] Determine the charging and discharging strategies for the target energy storage device within different time ranges, wherein the charging and discharging strategies include charging strategies and / or discharging strategies;

[0007] Determine the release time for each of the aforementioned charge / discharge strategies;

[0008] Based on the release time, a charge / discharge execution command is sent to the target energy storage device. The charge / discharge execution command includes a charge / discharge strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charge / discharge strategy.

[0009] In one embodiment of this application, after sending the charge / discharge execution command to the target energy storage device based on the release time, the method further includes:

[0010] If no confirmation information is received from the target energy storage device for the charge / discharge execution command within a first preset time, the charge / discharge execution command is retransmitted to the target energy storage device according to a preset retransmission rule until the confirmation information is received or the maximum number of retransmissions is reached.

[0011] In one embodiment of this application, retransmitting the charge / discharge execution command to the target energy storage device according to a preset retransmission rule includes:

[0012] The charge / discharge execution command is sent to the target energy storage device once every second preset time interval; or

[0013] Determine the retransmission time interval based on the current number of retransmissions;

[0014] Based on the retransmission time interval, the charging and discharging execution command is retransmitted to the target energy storage device.

[0015] In one embodiment of this application, determining the charging and discharging strategy of the target energy storage device within different time ranges includes:

[0016] Obtain the historical charge and discharge records of the target energy storage device;

[0017] Based on the historical charge and discharge records, at least one peak charge and discharge period and / or trough period corresponding to the target energy storage device in each time unit are determined, and the time unit includes weekdays and rest days.

[0018] Based on the peak and / or trough periods of charging and discharging, the charging and discharging strategies corresponding to the target energy storage device in different time ranges are determined.

[0019] In one embodiment of this application, the target energy storage device includes multiple battery modules, and determining the charging and discharging strategy of the target energy storage device within different time ranges includes:

[0020] Obtain the operating parameters of each battery module;

[0021] Based on the operating parameters of each battery module, the charging and discharging strategies corresponding to each battery module in different time ranges are determined.

[0022] In one embodiment of this application, after determining the charging and discharging strategies corresponding to the target energy storage device within different time ranges, the method further includes:

[0023] Obtain charging and discharging strategy adjustment information, which includes at least one of electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information;

[0024] Based on the charging and discharging strategy adjustment information, the charging and discharging strategy is adjusted accordingly.

[0025] In one embodiment of this application, the charging and discharging strategy adjustment information includes electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information. The step of adjusting the charging and discharging strategy accordingly based on the charging and discharging strategy adjustment information includes:

[0026] The electricity price fluctuation information, grid load fluctuation information, target energy storage equipment operation information, and user demand information are respectively converted into electricity price fluctuation contribution coefficient, grid load fluctuation contribution coefficient, equipment efficiency coefficient, and demand matching coefficient.

[0027] The comprehensive adjustment score is obtained by weighted summing of the electricity price fluctuation contribution coefficient, the power grid load fluctuation contribution coefficient, the equipment efficiency coefficient, and the demand matching coefficient.

[0028] If the overall adjustment score is greater than the preset score, the charging and discharging strategy will be adjusted accordingly.

[0029] Secondly, an intelligent scheduling device for energy storage equipment is provided, comprising:

[0030] A charge / discharge strategy determination unit is used to determine the charge / discharge strategy of the target energy storage device within different time ranges, wherein the charge / discharge strategy includes a charging strategy and / or a discharging strategy.

[0031] A charge / discharge strategy release time determination unit is used to determine the release time of each of the charge / discharge strategies;

[0032] A charge / discharge strategy sending unit is configured to send a charge / discharge execution instruction to the target energy storage device based on the release time. The charge / discharge execution instruction includes a charge / discharge strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charge / discharge strategy.

[0033] Thirdly, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor, when executing the computer-readable instructions, implements the steps of the intelligent scheduling method for energy storage devices as described above.

[0034] Fourthly, a readable storage medium is provided, which stores computer-readable instructions that, when executed by a processor, implement the steps of the intelligent scheduling method for energy storage devices as described above.

[0035] The aforementioned intelligent scheduling method, device, computer equipment, and storage medium for energy storage devices include the following steps: determining the charging and discharging strategies corresponding to the target energy storage device within different time ranges, wherein the charging and discharging strategies include charging strategies and / or discharging strategies; determining the release time of each charging and discharging strategy; and sending a charging and discharging execution instruction to the target energy storage device based on the release time, wherein the charging and discharging execution instruction includes the charging and discharging strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charging and discharging strategy. In this embodiment, the charging and discharging strategies corresponding to each energy storage device within different time ranges can be pre-configured, such as daytime, nighttime, weekdays, rest days, mornings, afternoons, etc., and the release time of each charging and discharging strategy can be configured. When the release time is reached, the release of the charging and discharging strategy can be automatically triggered, so that the energy storage device can promptly execute the corresponding charging and discharging strategy within the current time range. This enables the cyclical release and dynamic adjustment of charging and discharging strategies, improving the flexibility of charging and discharging. Furthermore, targeted charging and discharging strategies can be formulated based on the characteristics of the energy storage device, improving charging and discharging efficiency, reducing the burden on the energy storage device, and to a certain extent, extending the service life of the energy storage device. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 1 ;

[0038] Figure 2 This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 2 ;

[0039] Figure 3 This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 3 ;

[0040] Figure 4 This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 4 ;

[0041] Figure 5 This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 5 ;

[0042] Figure 6This is a flowchart illustrating an intelligent scheduling method for energy storage devices according to an embodiment of the present invention. Figure 6 ;

[0043] Figure 7 This is a schematic diagram of the structure of an intelligent scheduling device for energy storage equipment in one embodiment of the present invention;

[0044] Figure 8 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] In one embodiment, such as Figure 1 As shown, an intelligent scheduling method for energy storage devices is provided, including the following steps:

[0047] In step S110, the charging and discharging strategies corresponding to the target energy storage device in different time ranges are determined, and the charging and discharging strategies include charging strategies and / or discharging strategies.

[0048] Optionally, different time ranges refer to different time periods within a weekday or within a rest day. Weekdays are those days when work is required, such as Monday to Friday, while rest days are those days when work is not required, such as Saturdays, Sundays, and public holidays. This time period can be divided according to fixed or non-fixed time periods. Fixed time division means dividing a 24-hour day into multiple equal time periods; for example, if each time period is 3 hours, then there can be 8 time periods. Non-fixed time periods mean that each time period has a different length; for example, 0-8 AM can be considered one time period, 10-12 PM another, 12-2 PM another, and 2-7 PM another, with the energy storage device in standby mode during the remaining hours.

[0049] Optionally, different energy storage devices may have different charging and discharging strategies, and these strategies may also vary over different time periods. The charging and discharging strategies include charging and / or discharging strategies. For example, Strategy 1: During weekdays: charging from 0:00 to 8:00, discharging from 10:00 to 12:00, charging from 12:00 to 14:00, discharging from 14:00 to 19:00, and standby during other times; Strategy 2: During rest days: charging from 0:00 to 8:00, discharging from 10:00 to 12:00, discharging from 14:00 to 24:00, and standby during other times.

[0050] It should be noted that this charging and discharging strategy also includes charging and discharging power, time, capacity, and charging and discharging mode, such as constant current charging and discharging, constant voltage charging and discharging, and constant power charging and discharging. It may also include the charging and discharging sequence. Understandably, energy storage devices can consist of multiple battery modules or energy storage units. For battery modules connected in series, they can be charged and discharged sequentially from the front end to the back end to ensure balanced charging of each module. In distributed energy storage systems, units closer to the load can be prioritized for discharge to reduce transmission losses and improve power transmission efficiency.

[0051] In step S120, the release time of each of the charging and discharging strategies is determined;

[0052] Optionally, the issuance time of the charging strategy refers to the time when the energy storage device sends the charging and discharging strategy. The charging and discharging platform can pre-configure and store the issuance time corresponding to each charging and discharging strategy. For example, scheduled task one: the above strategy 1 (during weekdays: charging from 0-8, discharging from 10-12, charging from 12-14, discharging from 14-19, standby during other times) can be issued at 23:00 every weekend. Scheduled task two: strategy 2 (during rest days: charging from 0-8, discharging from 10-12, discharging from 14-24, standby during other times) can be issued at 20:00 every Friday. After configuration, whenever the corresponding time point is reached, the corresponding scheduled task is executed, automatically triggering the issuance of the corresponding charging and discharging strategy, thereby realizing the cyclical sending and adjustment of charging and discharging strategies.

[0053] It should be noted that "weekend" refers to either Saturday or Sunday. Depending on the actual charging and discharging situation on site, it can be determined whether Strategy 2 will be implemented on both Saturday and Sunday, or only on Sunday. If Strategy 2 is implemented only on Sunday, then Strategy 2 will be issued at 8 PM on Saturday.

[0054] It should be noted that the release time can be the same as the execution time of the charging and discharging strategy, or the release time can be earlier than the execution time of the charging and discharging strategy, such as half an hour in advance, to avoid missing or failing to execute the charging and discharging strategy in a timely manner.

[0055] In step S130, based on the release time, a charge / discharge execution command is sent to the target energy storage device. The charge / discharge execution command includes a charge / discharge strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charge / discharge strategy.

[0056] Optionally, the charging and discharging strategies for each energy storage device within different time ranges, as well as the release time corresponding to each charging and discharging strategy, can be pre-configured. Whenever the corresponding release time is reached, the charging and discharging platform is automatically triggered to send a charging and discharging execution command to the corresponding target energy storage device. This charging and discharging execution command may include the charging and discharging strategy corresponding to the current release time, so that the energy storage device can perform the corresponding charging and discharging operation according to the charging and discharging strategy.

[0057] This application provides an intelligent scheduling method for energy storage devices. The method includes: determining charging and discharging strategies for a target energy storage device within different time ranges, where each strategy includes a charging strategy and / or a discharging strategy; determining the release time for each charging and discharging strategy; and sending a charging and discharging execution command to the target energy storage device based on the release time. The execution command includes the charging and discharging strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charging and discharging strategy. This application allows for pre-configuration of charging and discharging strategies for each energy storage device within different time ranges, such as daytime, nighttime, weekdays, rest days, mornings, and afternoons. The release time for each charging and discharging strategy can also be configured. When the release time is reached, the charging and discharging strategy can be automatically triggered, enabling the energy storage device to execute the corresponding charging and discharging strategy within the current time range in a timely manner. This allows for the cyclical release and dynamic adjustment of charging and discharging strategies, improving charging and discharging flexibility. Furthermore, targeted charging and discharging strategies can be developed based on the characteristics of the energy storage device, improving charging and discharging efficiency, reducing the burden on the energy storage device, and to a certain extent, extending the lifespan of the energy storage device.

[0058] See Figure 2 In one embodiment of this application, after sending the charge / discharge execution command to the target energy storage device based on the release time, the method further includes:

[0059] In step S210, if no confirmation information is received from the target energy storage device for the charge / discharge execution command within a first preset time, the charge / discharge execution command is retransmitted to the target energy storage device according to a preset retransmission rule until the confirmation information is received or the maximum number of retransmissions is reached.

[0060] Optionally, a command issuance rule can be configured to ensure that each energy storage device receives and executes the charging and discharging strategy. This rule refers to waiting for the energy storage device to report confirmation of receipt after issuing a charging / discharging execution command. If no confirmation is received from the target energy storage device within a first preset time, such as one minute, the command can be resent according to a preset retransmission rule until a confirmation is received, or until the maximum number of retransmissions, such as five, is reached. If no confirmation is received after five retransmissions, the command issuance has failed, and an alarm message can be output to notify manual intervention, preventing unnecessary losses due to failure to adjust the charging and discharging strategy in a timely manner.

[0061] In one embodiment of this application, retransmitting the charge / discharge execution command to the target energy storage device according to a preset retransmission rule includes:

[0062] The charge / discharge execution command is sent to the target energy storage device once every second preset time interval; or

[0063] Determine the retransmission time interval based on the current number of retransmissions;

[0064] Based on the retransmission time interval, retransmit the charge and discharge execution commands to the target energy storage device.

[0065] Optionally, if no confirmation information for the charge / discharge execution command is received from the target energy storage device within a second preset time period, the charge / discharge execution command is retransmitted to the target energy storage device according to a preset retransmission rule. This preset retransmission rule means that the charge / discharge execution command is retransmitted to the target energy storage device every preset time interval, such as 1 minute. Alternatively, the number of transmissions can be recorded, and the retransmission time interval can be determined based on the number of retransmissions. The charge / discharge execution command is then retransmitted to the target energy storage device based on the retransmission time interval. The retransmission time intervals can be the same or different. As one implementation, the retransmission time interval can increase with the number of retransmissions. For example, if no confirmation information is received initially, a first retransmission is performed after 1 minute; if no confirmation is received again, a second retransmission is performed after 2 minutes, and so on, until the confirmation information is received or the maximum number of retransmissions is reached.

[0066] See Figure 3 In one embodiment of this application, determining the charging and discharging strategy corresponding to the target energy storage device within different time ranges includes:

[0067] In step S310, the historical charge and discharge records of the target energy storage device are obtained;

[0068] In step S320, based on the historical charge and discharge records, at least one peak charge and discharge period and / or trough period corresponding to each time unit of the target energy storage device are determined, and the time unit includes weekdays and rest days;

[0069] In step S330, based on the peak and / or trough periods of charging and discharging, the charging and discharging strategies corresponding to the target energy storage device in different time ranges are determined.

[0070] Optionally, historical charge and discharge records over a past period, such as one month, three months, or six months, can be obtained. These records may include information such as charging time, discharging time, charge amount, discharge amount, charging duration, discharging duration, charging frequency, and discharging frequency. By statistically analyzing this information, peak and / or off-peak charging / discharging periods can be determined for each time unit, such as each workday or rest day. Peak charging / discharging periods include both peak charging and peak discharging periods. Off-peak charging / discharging periods include both off-peak charging and off-peak discharging periods. Based on these peak and off-peak periods, or vice versa, the time range for each period can be determined. For example, if the peak charging period is 9:00-11:00, the charging / discharging strategy within this time range is charging; if the off-peak charging period is 16:00-20:00, the charging / discharging strategy within this time range is discharging. Further information such as the charging / discharging mode and charging / discharging power corresponding to each time range can also be determined.

[0071] See Figure 4 In one embodiment of this application, the target energy storage device includes multiple battery modules, and determining the charging and discharging strategy of the target energy storage device within different time ranges includes:

[0072] In step S410, the operating parameters of each battery module are obtained;

[0073] In step S420, based on the operating parameters of each battery module, the charging and discharging strategies corresponding to each battery module in different time ranges are determined.

[0074] Optionally, each target energy storage device may include multiple battery modules, which can be arranged in series or in a distributed manner. The battery modules can be monitored and managed through a Battery Management System (BMS). This system can report the operating parameters of each battery module to the charging and discharging platform in real time or periodically, such as charging amount, remaining capacity, usage time, and power. Based on these operating parameters, the health status of each battery module can be determined. If the battery module is in good health, it can be charged and discharged at normal power within an appropriate time range. If overcharging is detected, the charging power will be reduced or charging will be stopped in subsequent time periods. If over-discharging is detected, the discharging power will be reduced or discharging will be stopped in the corresponding time period. This determines the charging and discharging strategy for each battery module within different time ranges, preventing excessive battery fatigue and affecting battery life.

[0075] Understandably, battery modules can also be grouped based on factors such as remaining power and health status. Modules with low remaining power and suitable health status for charging can be classified as charging modules, while modules with high remaining power and stable discharge capability can be classified as discharging modules. A corresponding charging and discharging strategy can be executed for each group. For example, charging modules execute a charging strategy, while discharging modules execute a discharging strategy, enabling simultaneous charging and discharging operations for energy storage devices.

[0076] See Figure 5 In one embodiment of this application, after determining the charging and discharging strategies corresponding to the target energy storage device within different time ranges, the method further includes:

[0077] In step S510, charging and discharging strategy adjustment information is obtained, which includes at least one of electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information.

[0078] In step S520, the charging and discharging strategy is adjusted accordingly based on the charging and discharging strategy adjustment information.

[0079] Among them, the electricity price fluctuation information reflects the changes in electricity prices over time in the electricity market. When the electricity price is low, charging can be carried out, and when the electricity price is high, discharging can be carried out, realizing low-price energy storage and high-price release to obtain higher returns.

[0080] Among them, the power grid load fluctuation information reflects the changes in power load at different times. During peak periods of power grid load, discharge can be carried out, and during off-peak periods of power grid load, charging can be carried out.

[0081] The target energy storage device's operational information includes its own operating status parameters, such as battery voltage, current, temperature, remaining capacity, charge / discharge cycle count, battery capacity degradation, and internal resistance. This operational information reflects the health status of the energy storage device. If the health status is poor, the battery capacity has severely degraded, or there are potential safety risks, measures can be taken such as reducing charging current and voltage, strictly controlling the depth of discharge, and reducing the number of charge / discharge cycles.

[0082] The user demand information includes the electricity usage habits and needs of different types of users. For example, industrial users have a high demand for stable high-power supply during peak production periods, while residential users experience peak electricity demand in the evenings.

[0083] Optionally, at least one of the following can be obtained: electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information, or any combination thereof, in order to make corresponding adjustments to the charging and discharging strategy.

[0084] See Figure 6 In one embodiment of this application, the charging and discharging strategy adjustment information includes electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information. The step of adjusting the charging and discharging strategy accordingly based on the charging and discharging strategy adjustment information includes:

[0085] In step S610, the electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information are respectively converted into electricity price fluctuation contribution coefficient, grid load fluctuation contribution coefficient, equipment efficiency coefficient, and demand matching coefficient.

[0086] In step S620, the electricity price fluctuation contribution coefficient, the power grid load fluctuation contribution coefficient, the equipment efficiency coefficient, and the demand matching coefficient are weighted and summed to obtain a comprehensive adjustment score.

[0087] In step S630, if the comprehensive adjustment score is greater than the preset score, the charging and discharging strategy is adjusted accordingly.

[0088] Optionally, to improve the accuracy of charging and discharging strategy adjustments, adjustments can be analyzed from multiple dimensions, including electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information. Firstly, electricity price fluctuation information can be converted into an electricity price fluctuation contribution coefficient: calculated based on the peak-valley price difference; the greater the fluctuation, the higher the coefficient (e.g., for every 0.5 yuan / kWh increase in peak-valley difference, the coefficient increases by 2). Grid load fluctuation information can be converted into a grid load fluctuation contribution coefficient: calculated based on the peak-valley load difference rate; the greater the fluctuation (the higher the peak-shaving demand), the higher the coefficient (e.g., for every 20% increase in peak-valley difference rate, the coefficient increases by 3). Energy storage device operation information can be converted into a device efficiency coefficient: calculated based on the fluctuation range of charging and discharging efficiency and SOC during the charging and discharging cycle; the higher the efficiency and the smaller the fluctuation, the higher the coefficient (e.g., for every 5% increase in efficiency, the coefficient increases by 1). User demand information can be converted into a demand matching coefficient: calculated based on the user's peak-hour electricity consumption ratio and reliability requirements; the higher the peak-hour electricity consumption ratio and the more specific the reliability requirements, the higher the coefficient (e.g., for every 10% increase in peak-hour electricity consumption ratio, the coefficient increases by 2).

[0089] Then, the electricity price fluctuation contribution coefficient, grid load fluctuation contribution coefficient, equipment efficiency coefficient, and demand matching coefficient are weighted and summed. For example, the importance of historical data and the degree of influence of each piece of information on the charging and discharging strategy can be taken into account. For example, for a user scenario where the main goal is to reduce electricity costs and the grid load in the area is relatively stable, the weight of the electricity price fluctuation contribution coefficient can be set to 0.5, because it has the greatest impact on cost control; the weight of the grid load regulation contribution coefficient can be set to 0.1, because its stability makes its impact relatively small; the weight of the equipment efficiency coefficient can be set to 0.2, to ensure the healthy operation of the equipment; and the weight of the demand matching coefficient can be set to 0.2, to match the actual usage of the user. The sum of each weight is always kept at 1, and then a comprehensive adjustment score is obtained through weighted calculation. If the comprehensive adjustment score is greater than a preset score, such as 8 points, the charging and discharging strategy adjustment process is triggered. For example, if the energy storage device is currently charging, and data analysis reveals that electricity prices will continue to decline for some time, while grid load is low, the device is operating well, and user demand allows for extended charging time, then the charging time can be increased by 2 hours, and the charging power increased by 20% to fully utilize periods of low electricity prices and increase the stored energy capacity. Conversely, if the device's operating information indicates that the battery temperature is too high, even if the rating meets the adjustment criteria, the charging voltage should be reduced by 10% to ensure safe operation of the device and avoid performance degradation or potential safety risks due to overheating.

[0090] In this embodiment, the charging and discharging strategies for each energy storage device can be pre-configured for different time ranges, such as daytime, nighttime, weekdays, rest days, mornings, and afternoons. The release time for each charging and discharging strategy can also be configured. When the release time is reached, the charging and discharging strategy can be automatically triggered, so that the energy storage device can execute the corresponding charging and discharging strategy within the current time range in a timely manner. This enables the cyclical release and dynamic adjustment of charging and discharging strategies, improving the flexibility of charging and discharging. Furthermore, targeted charging and discharging strategies can be formulated based on the characteristics of the energy storage device, improving charging and discharging efficiency, reducing the burden on the energy storage device, and to a certain extent, extending the service life of the energy storage device.

[0091] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0092] In one embodiment, an intelligent scheduling device for energy storage equipment is provided, which corresponds one-to-one with the intelligent scheduling method for energy storage equipment described in the above embodiments. For example... Figure 7 As shown, the intelligent scheduling device for energy storage includes a charging / discharging strategy determination unit 10, a charging / discharging strategy issuance time determination unit 20, and a charging / discharging strategy transmission unit 30. Detailed descriptions of each functional module are as follows:

[0093] The charging and discharging strategy determination unit 10 is used to determine the charging and discharging strategies of the target energy storage device in different time ranges, wherein the charging and discharging strategies include charging strategies and / or discharging strategies.

[0094] The charge / discharge strategy release time determination unit 20 is used to determine the release time of each of the charge / discharge strategies;

[0095] The charging and discharging strategy sending unit 30 is used to send a charging and discharging execution instruction to the target energy storage device based on the release time. The charging and discharging execution instruction includes a charging and discharging strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charging and discharging strategy.

[0096] In one embodiment of this application, the device further includes an instruction confirmation unit, used for:

[0097] If no confirmation information is received from the target energy storage device for the charge / discharge execution command within a first preset time, the charge / discharge execution command is retransmitted to the target energy storage device according to a preset retransmission rule until the confirmation information is received or the maximum number of retransmissions is reached.

[0098] In one embodiment of this application, the instruction confirmation unit is further configured to:

[0099] The charge / discharge execution command is sent to the target energy storage device once every second preset time interval; or

[0100] Determine the retransmission time interval based on the current number of retransmissions;

[0101] Based on the retransmission time interval, the charging and discharging execution command is retransmitted to the target energy storage device.

[0102] In one embodiment of this application, the charge / discharge strategy determination unit 10 is further configured to:

[0103] Obtain the historical charge and discharge records of the target energy storage device;

[0104] Based on the historical charge and discharge records, at least one peak charge and discharge period and / or trough period corresponding to the target energy storage device in each time unit are determined, and the time unit includes weekdays and rest days.

[0105] Based on the peak and / or trough periods of charging and discharging, the charging and discharging strategies corresponding to the target energy storage device in different time ranges are determined.

[0106] In one embodiment of this application, the target energy storage device includes multiple battery modules, and the charge / discharge strategy determination unit 10 is further configured to:

[0107] Obtain the operating parameters of each battery module;

[0108] Based on the operating parameters of each battery module, the charging and discharging strategies corresponding to each battery module in different time ranges are determined.

[0109] In one embodiment of this application, the charge / discharge strategy adjustment unit is used for:

[0110] Obtain charging and discharging strategy adjustment information, which includes at least one of electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information;

[0111] Based on the charging and discharging strategy adjustment information, the charging and discharging strategy is adjusted accordingly.

[0112] In one embodiment of this application, the charging and discharging strategy adjustment information includes electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information. The charging and discharging strategy adjustment unit is further configured to:

[0113] The electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information are weighted and summed to obtain a comprehensive adjustment score.

[0114] If the overall adjustment score is greater than the preset score, the charging and discharging strategy will be adjusted accordingly.

[0115] In this embodiment, the charging and discharging strategies for each energy storage device can be pre-configured for different time ranges, such as daytime, nighttime, weekdays, rest days, mornings, and afternoons. The release time for each charging and discharging strategy can also be configured. When the release time is reached, the charging and discharging strategy can be automatically triggered, so that the energy storage device can execute the corresponding charging and discharging strategy within the current time range in a timely manner. This enables the cyclical release and dynamic adjustment of charging and discharging strategies, improving the flexibility of charging and discharging. Furthermore, targeted charging and discharging strategies can be formulated based on the characteristics of the energy storage device, improving charging and discharging efficiency, reducing the burden on the energy storage device, and to a certain extent, extending the service life of the energy storage device.

[0116] Specific limitations regarding the intelligent scheduling device for energy storage equipment can be found in the limitations of the intelligent scheduling method for energy storage equipment mentioned above, and will not be repeated here. Each module in the aforementioned intelligent scheduling device for energy storage equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0117] In one embodiment, a computer device is provided, which may be a terminal device, and its internal structure diagram may be as follows: Figure 8 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium storing computer-readable instructions. The network interface communicates with external terminals via a network connection. When executed by the processor, the computer-readable instructions implement a smart scheduling method for energy storage devices. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0118] In this application embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, it implements the steps of the above-described intelligent scheduling method for energy storage devices.

[0119] In one embodiment of the application, a readable storage medium is provided, which stores computer-readable instructions. When the computer-readable instructions are executed by a processor, they implement the steps of the intelligent scheduling method for energy storage devices described above.

[0120] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0122] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for intelligent scheduling of energy storage devices, characterized in that, The method includes: Determine the charging and discharging strategies for the target energy storage device within different time ranges, wherein the charging and discharging strategies include charging strategies and / or discharging strategies; Determine the release time for each of the aforementioned charge / discharge strategies; Based on the release time, a charge / discharge execution command is sent to the target energy storage device. The charge / discharge execution command includes a charge / discharge strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charge / discharge strategy.

2. The intelligent scheduling method for energy storage devices as described in claim 1, characterized in that, After sending the charge / discharge execution command to the target energy storage device based on the release time, the method further includes: If no confirmation information is received from the target energy storage device for the charge / discharge execution command within a first preset time, the charge / discharge execution command is retransmitted to the target energy storage device according to a preset retransmission rule until the confirmation information is received or the maximum number of retransmissions is reached.

3. The intelligent scheduling method for energy storage devices as described in claim 2, characterized in that, The step of retransmitting the charge / discharge execution command to the target energy storage device according to the preset retransmission rule includes: The charge / discharge execution command is sent to the target energy storage device once every second preset time interval; or Determine the retransmission time interval based on the current number of retransmissions; Based on the retransmission time interval, the charging and discharging execution command is retransmitted to the target energy storage device.

4. The intelligent scheduling method for energy storage devices as described in claim 1, characterized in that, The determination of the charging and discharging strategies for the target energy storage device within different time ranges includes: Obtain the historical charge and discharge records of the target energy storage device; Based on the historical charge and discharge records, at least one peak charge and discharge period and / or trough period corresponding to the target energy storage device in each time unit are determined, and the time unit includes weekdays and rest days. Based on the peak and / or trough periods of charging and discharging, the charging and discharging strategies corresponding to the target energy storage device in different time ranges are determined.

5. The intelligent scheduling method for energy storage devices as described in claim 1, characterized in that, The target energy storage device includes multiple battery modules, and determining the charging and discharging strategies for the target energy storage device within different time ranges includes: Obtain the operating parameters of each battery module; Based on the operating parameters of each battery module, the charging and discharging strategies corresponding to each battery module in different time ranges are determined.

6. The intelligent scheduling method for energy storage devices as described in claim 1, characterized in that, After determining the charging and discharging strategies for the target energy storage device within different time ranges, the method further includes: Obtain charging and discharging strategy adjustment information, which includes at least one of electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information; Based on the charging and discharging strategy adjustment information, the charging and discharging strategy is adjusted accordingly.

7. The intelligent scheduling method for energy storage devices as described in claim 6, characterized in that, The charging and discharging strategy adjustment information includes electricity price fluctuation information, grid load fluctuation information, target energy storage device operation information, and user demand information. The step of adjusting the charging and discharging strategy accordingly based on the charging and discharging strategy adjustment information includes: The electricity price fluctuation information, grid load fluctuation information, target energy storage equipment operation information, and user demand information are respectively converted into electricity price fluctuation contribution coefficient, grid load fluctuation contribution coefficient, equipment efficiency coefficient, and demand matching coefficient. The comprehensive adjustment score is obtained by weighted summing of the electricity price fluctuation contribution coefficient, the power grid load fluctuation contribution coefficient, the equipment efficiency coefficient, and the demand matching coefficient. If the overall adjustment score is greater than the preset score, the charging and discharging strategy will be adjusted accordingly.

8. An intelligent scheduling device for energy storage equipment, characterized in that, The device includes: A charge / discharge strategy determination unit is used to determine the charge / discharge strategy of the target energy storage device within different time ranges, wherein the charge / discharge strategy includes a charging strategy and / or a discharging strategy. A charge / discharge strategy release time determination unit is used to determine the release time of each of the charge / discharge strategies; A charge / discharge strategy sending unit is configured to send a charge / discharge execution instruction to the target energy storage device based on the release time. The charge / discharge execution instruction includes a charge / discharge strategy corresponding to the release time, so that the target energy storage device performs the corresponding operation according to the charge / discharge strategy.

9. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the steps of the intelligent scheduling method for energy storage devices as described in any one of claims 1 to 7.

10. A readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by the processor, they implement the steps of the intelligent scheduling method for energy storage devices as described in any one of claims 1 to 7.

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