A method and system for safe charging and discharging of new energy storage battery packs

Abstract

This invention relates to the field of battery management technology, specifically to a method and system for safe charging and discharging of new energy storage battery packs. The problem this invention addresses is: how to use new energy storage battery packs to supply power to old industrial areas with aging cables that cannot be upgraded in the short term, thus solving the problem of cable overload. To solve this problem, this invention provides a method for safe charging and discharging of new energy storage battery packs. The method includes: dividing the industrial area into multiple control blocks and predicting the current cable load capacity; obtaining the current power supply load and calculating the remaining load of the control blocks; calculating the load change rate of the control blocks and calculating the expected overload time; when the expected overload time is greater than or equal to the safe time, marking the control block as a block to be configured; obtaining the operating information of the electrical equipment to obtain the equipment load; obtaining a battery pack configuration scheme based on the calculated power supply gap; and calculating the battery pack utilization rate to obtain the optimal power supply scheme.

Description

Technical Field

[0001] This invention relates to the field of battery management technology, and more specifically, to a method and system for safe charging and discharging of new energy storage battery packs. Background Technology

[0002] With the rapid development of my country's economy, industrial upgrading of industrial zones has become an important measure to promote high-quality economic development. The iterative upgrading of industrial equipment and the expansion of industrial scale have led to a simultaneous increase in energy demand in industrial zones. However, aging power cables cannot meet the growing power demand and pose many safety hazards. Due to the lack of scientific and unified planning, unreasonable functional layout, outdated infrastructure, and complex ownership structures in some old industrial zones, there are many difficulties and problems in the transformation process. Long-term planning and development are required. The existing power grid is unable to replace or upgrade aging or faulty cables in a short period of time, and cannot support the increasing power load caused by the growing number of high-power industrial equipment and ensure the power supply security of industrial production. This, in turn, affects the development of industrial zones, restricts factory production efficiency, and causes economic losses. Summary of the Invention

[0003] The problem this invention addresses is: how to use new energy storage battery packs to supply power to old industrial areas with aging cables that cannot be upgraded in the short term, in order to solve the problem of cables working under overload.

[0004] To address the aforementioned issues, this invention provides a method for safe charging and discharging of new energy storage battery packs. The method includes: acquiring cable operating information and historical power load data of the controlled area, and predicting the current cable load capacity; acquiring the current power load of the controlled area, and calculating the remaining load of the controlled area based on the current power load and current cable load capacity; calculating the expected overload time based on the load change rate of the controlled area, and determining the block to be configured based on the expected overload time; acquiring the equipment load of the block to be configured, and calculating the power supply gap of the block to be configured within the expected overload time based on the load change rate and current power load, and obtaining a battery pack configuration scheme for the new energy storage battery pack based on the power supply gap; calculating the battery pack utilization rate based on the electrical equipment that is powered by the new energy storage battery pack, and obtaining the optimal power supply scheme; adjusting the calculation of the power supply gap based on the optimal power supply scheme, and re-storing energy in the new energy storage battery pack based on the current power load.

[0005] Compared with existing technologies, the technical effects achieved by this solution are as follows: The division of control zones ensures rapid location of areas in industrial zones with cable overload risks, improving the configuration response speed of new energy storage battery packs, facilitating management, predicting current cable load capacity and calculating remaining load, and providing a more intuitive reflection of cable power supply load pressure in different control zones through data. Furthermore, by calculating the estimated overload time, it intuitively reflects the magnitude of the overload risk in the current control zone, reserving sufficient time for configuring new energy storage battery packs, setting different safety times for different control zones, improving the configuration efficiency of new energy storage battery packs, allowing for arrangements based on the specific conditions of different control zones, reducing the pressure on energy storage resources of new energy storage battery packs, calculating battery pack utilization rate, improving the energy storage resource utilization rate of new energy storage battery packs, and alleviating potential resource shortages of new energy storage battery packs.

[0006] In one embodiment of the present invention, the estimated overload time is calculated based on the load change rate of the controlled block, and the block to be configured is determined based on the estimated overload time. Specifically, this includes: maintaining the control status of the controlled block when the estimated overload time is less than the safe time; marking the controlled block as a block to be configured when the estimated overload time is greater than or equal to the safe time, obtaining the working information of all electrical equipment in the block to be configured, and obtaining the equipment load.

[0007] By setting a safety time, it is possible to determine which controlled blocks require temporary power supply from new energy storage battery packs. This further avoids the risks of energy storage resource shortages and overload due to configuring new energy storage battery packs for blocks too early or too late, thereby improving the working efficiency and resource utilization of the new energy storage battery pack management system.

[0008] In one embodiment of the present invention, cable loss information is obtained based on cable operating information to obtain a loss variation coefficient; historical power supply load data for the same power consumption period within the controlled area is obtained to obtain the load maximum value change trend of the controlled area within the power consumption period; based on the load maximum value change trend, the load maximum value of the controlled area in the current time period is predicted to obtain the current maximum load; and the current cable load capacity is calculated based on the loss variation coefficient and the current maximum load.

[0009] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: By setting a loss variation coefficient, the changes in power supply capacity caused by cable aging and other reasons are taken into account, which improves the accuracy of the calculation of the current cable load capacity. By calculating the current cable load capacity, the maximum load that the current control block can bear is reflected intuitively, which facilitates the subsequent calculation and improves the effectiveness of the subsequent configuration scheme in the specific implementation process.

[0010] In one embodiment of the present invention, obtaining the current power supply load of the control block and calculating the remaining load of the control block based on the current power supply load and the current cable load capacity specifically includes: setting a detection cycle, obtaining the current and voltage data of all electrical devices in each detection cycle of the control block, calculating the total data value as the current power supply load; and calculating the difference value as the remaining load of the control block in each detection cycle based on the current power supply load and the current cable load capacity.

[0011] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by periodically calculating the remaining load, the power supply pressure of the cable in the power supply block is reflected intuitively, which facilitates the calculation of the expected overload time and improves the accuracy of subsequent calculations. At the same time, it also ensures that the power supply of the controlled block can be obtained in a timely manner, and improves the sensitivity of the management system to the detection of cable working load.

[0012] In one embodiment of the present invention, the estimated overload time is calculated based on the load change rate of the controlled block, and the block to be configured is determined based on the estimated overload time. Specifically, this includes: obtaining power supply load data for each past time period of the controlled block to obtain the power supply load change trend; obtaining power supply load data for the same period in the past of the controlled block, calculating the power supply load difference of the controlled block year by year, and calculating the estimated growth amount; combining the power supply load change trend and the estimated growth amount to calculate the load change rate; and calculating the time required for the current power supply load of the controlled block to exceed the current cable load capacity based on the load change rate and the remaining load amount to obtain the estimated overload time.

[0013] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by acquiring the trend of electrical load changes, it is possible to determine whether there is an overload risk in the controlled area, calculate the expected overload time, and predict the specific time of cable overload in the controlled area, which facilitates the planning and management of subsequent new energy storage devices and improves the operating efficiency of the management system.

[0014] In one embodiment of the present invention, a corresponding safety time is set for each control block based on the time required for configuring the new energy storage battery pack in the control block; the expected overload time is compared with the safety time; if the expected overload time is less than the safety time, the current control state of the control block is maintained; if the expected overload time is greater than or equal to the safety time, the control block is marked as a block to be configured, and the configuration priority of each block to be configured is determined according to the length of the expected overload time; the power consumption data of all electrical devices in each block to be configured is obtained, and the power supply and power required for all electrical devices in the block to be configured to maintain normal operation are obtained based on the power consumption data, and recorded as the equipment load.

[0015] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: By setting a safety time, it is possible to determine which controlled blocks require temporary power supply from new energy storage battery packs. Furthermore, it avoids the risks of energy storage resource shortages and overload safety caused by configuring new energy storage battery packs for blocks to be configured too early or too late, thereby improving the working efficiency and resource utilization of the new energy storage battery pack management system.

[0016] In one embodiment of the present invention, the change in power supply load per unit time of the controlled block is calculated based on the load change rate and the current power supply load, resulting in a load growth curve; the power supply gap is calculated based on the load growth curve and the current cable load capacity; the order of resolving the power supply gap problem is sorted according to the configuration priority, resulting in a resolution order; based on the resolution order and the power supply gap, the optimal energy storage battery packs with the best energy storage capacity, power size, and quantity to meet the power supply gap requirements are selected sequentially for the block to be configured, resulting in a battery pack configuration scheme.

[0017] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by calculating the power supply gap, the specific load capacity required by different blocks to be configured can be determined, and then the optimal new energy storage battery pack can be selected to supply energy to the configured block. This improves the energy storage utilization rate of the new energy storage battery pack, reduces the situation where new energy storage battery packs cannot be configured to some blocks in a timely manner due to insufficient energy storage, and improves the power supply security of industrial areas.

[0018] In one embodiment of the present invention, the total energy storage capacity and total power data of the new energy storage battery pack in the battery pack configuration scheme are obtained to obtain the battery pack load data; based on the battery pack load data and equipment load, all devices that can be powered by the new energy storage battery pack and operate normally are screened and marked as candidate devices; based on the candidate devices and battery pack load data, the load ratio generated when each candidate device is powered by the new energy storage battery pack is calculated to obtain the battery pack utilization rate; based on the battery pack utilization rate, the candidate devices are combined to calculate the total utilization rate of each combination; based on the total utilization rate, the candidate devices that can power the new energy storage battery pack are determined to obtain the optimal power supply scheme.

[0019] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by calculating the battery pack utilization rate, the utilization rate of the new energy storage battery pack is improved, the load pressure on the cable is alleviated to the greatest extent, the power supply stability and security of the control block are improved, and the new energy storage battery pack can quickly determine the optimal power supply scheme under different conditions to provide temporary power supply to suitable working equipment, thereby improving the configuration efficiency of the new energy storage battery pack and facilitating the subsequent power supply work.

[0020] In one embodiment of the present invention, according to the solution order and the optimal power supply scheme, each new energy storage battery pack is connected to each block to be configured to supply power to the device; the energy consumption of the new energy storage battery pack in implementing the optimal power supply scheme is obtained to obtain power supply data; the difference between the power supply data and the power supply gap in each time period is compared to adjust the calculation of the power supply gap to obtain a correction coefficient, which is stored in the system database for the next power supply gap calculation.

[0021] Compared with existing technologies, the technical effects achieved by adopting this technical solution are as follows: by setting a correction coefficient, the accuracy of the management system in calculating the power supply gap of the block to be configured can be improved, the resource utilization rate of the new energy storage battery pack can be improved, and the power supply gap problem cannot be solved due to excessive error in the calculation result of the power supply gap, which would affect the normal production of the factory and improve the power supply security and stability of the industrial area.

[0022] In one embodiment of the present invention, the present invention also provides a new energy storage battery pack charging and discharging safety management system. The new energy storage battery pack charging and discharging safety management method described in the above embodiment is applied in the management system. The management system includes: an acquisition module for acquiring cable working information and historical power supply load data; a prediction module for predicting the current cable load capacity and the expected overload time; a calculation module for calculating the remaining load and power supply gap; and an execution module for executing the optimal power supply scheme. The new energy storage battery pack charging and discharging safety management system has all the technical features of the above-mentioned new energy storage battery pack charging and discharging safety management method, which will not be described in detail here. Attached Figure Description

[0023] Figure 1 This is one of the flowcharts for the new energy storage battery pack charging and discharging safety management system of the present invention;

[0024] Figure 2 This is the second flowchart of the new energy storage battery pack charging and discharging safety management system of the present invention;

[0025] Figure 3 This is the third flowchart of the new energy storage battery pack charging and discharging safety management system of the present invention;

[0026] Figure 4 This is the fourth flowchart of the new energy storage battery pack charging and discharging safety management system of the present invention;

[0027] Figure 5 Diagram of a charging and discharging safety management system for new energy storage battery packs;

[0028] Explanation of reference numerals in the attached figures:

[0029] 100 - Management System; 120 - Acquisition Module; 130 - Prediction Module; 140 - Calculation Module; 150 - Execution Module. Detailed Implementation

[0030] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0031] [First Embodiment]

[0032] See Figure 1 In one specific embodiment, this invention provides a method for safe charging and discharging of a new energy storage battery pack, the method comprising:

[0033] S100: Obtain cable operating information and historical power supply load data of the controlled area, and predict the current cable load capacity;

[0034] S200: Obtain the current power supply load of the controlled area, and calculate the remaining load of the controlled area based on the current power supply load and the current cable load capacity;

[0035] S300. Calculate the estimated overload time based on the load change rate of the controlled blocks, and determine the blocks to be configured based on the estimated overload time.

[0036] S400: Obtain the equipment load of the block to be configured; calculate the power supply gap of the block to be configured within the expected overload time based on the load change rate and the current power supply load; and obtain the battery pack configuration scheme of the new energy storage battery pack based on the power supply gap.

[0037] S500: Calculate the battery pack utilization rate based on the electrical equipment powered by the applicable new energy storage battery pack, and obtain the optimal power supply scheme.

[0038] S600: Adjust the calculation of the power supply gap according to the optimal power supply scheme, and re-store energy in the new energy storage battery pack according to the current power supply load.

[0039] In step S100, the industrial zone is divided into multiple control blocks, based on functional areas, to facilitate management and control, depending on the specific circumstances of the industrial zone. Cable operation information and historical power load data are stored in the system database. For cable operation information, technical personnel need to conduct pre-inspection and registration of all cables to obtain relevant cable data.

[0040] In step S200, as the industrial zone develops, the power load in the controlled area generally increases year by year or remains within a relatively stable range. Within a year, the peak load time is usually concentrated in the summer. By calculating the remaining load, it is ensured that the load of the controlled area will not exceed the current cable load capacity, and there is no risk of overload operation.

[0041] In step S300, the historical power supply load data typically includes relevant data for the same period in the past ten years for the controlled area. To avoid production safety risks caused by overload, the remaining load usually needs to have a certain margin, which can be 10% or 15%. For example, in the calculation of the expected overload time, it is set as the time required for the power supply load to grow to 10% of the remaining load.

[0042] In step S400, since the transportation and setup process of the actual new energy storage battery pack configuration takes time, a safety time needs to be set to ensure that there is sufficient time for the new energy storage battery pack to be transported and set up in the block to be configured. The safety time varies for different control blocks, depending on the specific time requirements.

[0043] In step S500, since the energy storage capacity of new energy storage battery packs is limited in actual applications, in order to ensure that as many temporary power supplies as possible are provided to the control areas with overload risk, the power supply gap should be calculated during the process of determining the battery pack configuration scheme. New energy storage battery packs should be provided to each control block with overload risk as needed to avoid wasting energy storage resources during the configuration process, improve the utilization rate of new energy storage battery packs, and thereby reduce the inability to provide temporary power to control blocks with overload risk in a timely manner due to insufficient reserves of new energy storage battery packs.

[0044] In step S600, since the power and energy storage of the new energy storage battery pack are limited, and there are usually a large number of large industrial production equipment in industrial areas, these devices typically require high-power power supplies for extended periods. The new energy storage battery pack cannot meet their normal power supply needs. Therefore, it is necessary to select equipment that conforms to the power supply mode of the new energy storage battery pack to provide power, thereby alleviating the power supply load pressure on the block to be configured. Furthermore, to alleviate the power supply load pressure to the greatest extent, in the selection of the optimal power supply scheme, the combination of electrical equipment that can make the maximum use of the battery pack is selected, and the new energy storage battery pack is used for temporary power supply.

[0045] Since the power supply gap is calculated through prediction, there is a difference between it and the actual power supply gap. In order to improve the accuracy of subsequent power supply gap calculations for this controlled area, the power supply data of new energy storage battery packs is compared with the predicted power supply gap to determine the correction coefficient and adjust the subsequent power supply gap calculations.

[0046] When the current power supply load of the block to be configured is lower than the current cable load capacity again, the new energy storage battery pack is recharged, and the control block continues to be controlled. In the daily production activities of the industrial zone, the daytime power supply load is usually much greater than the nighttime power supply load, and the power supply load during peak season is usually much greater than the power supply load during off-season. Therefore, with the change of time and season, the power supply load of the control block may decrease to a safe range. At this time, the new energy storage battery pack is recharged to improve the working efficiency of the new energy storage battery pack.

[0047] The division of control zones ensures rapid location of areas in industrial zones with potential cable overload risks, improving the configuration response speed of new energy storage battery packs, facilitating management, predicting current cable load capacity, and calculating remaining load. Data provides a more intuitive reflection of cable power supply load pressure in different control zones. Furthermore, by calculating the estimated overload time, the risk of overload in the current control zone is clearly reflected, allowing sufficient time for configuring new energy storage battery packs. Setting different safety times for different control zones improves the configuration efficiency of new energy storage battery packs, allowing for arrangements based on the specific conditions of different control zones. This reduces the pressure on energy storage resources for new energy storage battery packs, calculates battery pack utilization, improves the utilization rate of energy storage resources, and alleviates potential resource shortages.

[0048] [Second Embodiment]

[0049] See Figure 1 In one specific embodiment, the estimated overload time is calculated based on the load change rate of the controlled block, and the blocks to be configured are determined based on the estimated overload time, specifically including:

[0050] S310. When the expected overload time is less than the safe time, maintain the control status of the controlled block;

[0051] S320. When the expected overload time is greater than or equal to the safe time, the control block is marked as a block to be configured, and the working information of all electrical equipment in the block to be configured is obtained to obtain the equipment load.

[0052] In steps S310 to S320, the safety time is usually 30 minutes. However, since there are many risks in the actual configuration process, such as transportation and configuration, which can increase the configuration time, the safety time should be set as long as possible within the configuration capacity to ensure that the configuration of the new energy storage battery pack can be completed before the cables of the block to be configured are overloaded.

[0053] Furthermore, when the expected overload time is less than the safe time, the controlled block continues to be managed; when the expected overload time is greater than or equal to the safe time, the controlled block is marked as a block to be configured, and the operating information of all electrical equipment in the block to be configured is obtained to determine the equipment load, specifically including:

[0054] Based on the time required to configure new energy storage battery packs in each controlled area, a corresponding safety time is set for each controlled area.

[0055] The estimated overload time is compared with the safe time. If the estimated overload time is less than the safe time, the current control status of the control block is maintained. If the estimated overload time is greater than or equal to the safe time, the control block is marked as a block to be configured, and the configuration priority of each block to be configured is determined according to the length of the estimated overload time.

[0056] Obtain the power consumption data of all electrical devices in each block to be configured. Based on the power consumption data, obtain the power supply and power required for all electrical devices in the block to maintain normal operation, and record it as the equipment load.

[0057] The safety time setting depends on the total time required for the new energy storage battery packs in the controlled area. It should take into account the different resource shortages of new energy storage battery packs at different times and set different safety times for different time periods.

[0058] For example, for the same controlled area, the safe period is 10 days during the peak industrial load period in July and August, and 5 days during the low industrial load period in April and May.

[0059] When the expected overload time is less than the safe time, it indicates that the overload risk of the controlled block is extremely low. Therefore, there is no need to configure new energy storage battery packs, and it can continue to be controlled. When the expected overload time is greater than or equal to the safe time, the shorter the expected overload time, the less time is available for configuring new energy storage battery packs. Therefore, the priority is higher. This optimizes the management of new energy storage battery packs and avoids situations where blocks to be configured are not configured in a timely manner.

[0060] The electrical data of electrical equipment is stored in the system database, and relevant technical personnel use conventional technical means to regularly detect and record the data in the controlled area.

[0061] By setting a safety time, it is possible to determine which controlled blocks require temporary power supply from new energy storage battery packs. This further avoids the risks of energy storage resource shortages and overload due to configuring new energy storage battery packs for blocks too early or too late, thereby improving the working efficiency and resource utilization of the new energy storage battery pack management system.

[0062] [Third Embodiment]

[0063] See Figure 1 Furthermore, it obtains cable operating information and historical power load data for the controlled area to predict the current cable load capacity, specifically including:

[0064] S110. Based on the cable operating information, obtain the cable loss status and obtain the loss variation coefficient;

[0065] S120. Obtain historical power supply load data for the same power consumption period within the controlled area, and obtain the trend of the maximum load change of the controlled area within the power consumption period.

[0066] S130. Based on the trend of the maximum load change, predict the maximum load of the controlled block in the current time period to obtain the current maximum load;

[0067] S140. Calculate the current cable load capacity based on the loss variation coefficient and the current maximum load.

[0068] In step S110, the value of the loss change coefficient is related to various data such as the degree of aging. It reflects the maximum loss value that the cable may cause during the process of supplying power to the target control block. Under normal circumstances, it does not increase as the cable is used for a longer period of time.

[0069] In steps S120 to S140, the maximum load value refers to the maximum load that the cable supplying power to the controlled area can withstand. This value is obtained through regular monitoring of the target cable using conventional testing methods such as megohmmeters and stored in the system database. Typically, the maximum load values ​​for this period over the past five years are obtained, the difference between the maximum load values ​​each year is calculated, the current maximum load is predicted, and the current cable load capacity is further calculated based on the loss variation coefficient.

[0070] For example, the maximum load values ​​of a certain controlled area on December 5th over the past five years, from oldest to newest, are 50,000kW, 53,000kW, 55,000kW, 60,000kW, and 63,000kW, respectively. The annual growth difference is 3,000kW, 2,000kW, 5,000kW, and 3,000kW, respectively, with an average growth difference of 3,250kW. Therefore, the predicted maximum load is 66,325kW, the loss variation coefficient is 0.98, and the current cable load capacity is calculated to be 64,998.5kW.

[0071] By setting a loss variation coefficient, changes in power supply capacity due to cable aging and other reasons are taken into account, which improves the accuracy of the calculation of the current cable load capacity. The calculation of the current cable load capacity intuitively reflects the maximum load that the current control block can withstand, which facilitates subsequent calculations and improves the effectiveness of the subsequent configuration scheme in the specific implementation process.

[0072] [Fourth Embodiment]

[0073] See Figure 1 Furthermore, the current power supply load of the controlled area is obtained, and the remaining load of the controlled area is calculated based on the current power supply load and the current cable load capacity. Specifically, this includes:

[0074] S210. Set the detection cycle, obtain the current and voltage data of all electrical equipment in each detection cycle of the control block, and calculate the total data value to determine the current power supply load.

[0075] S220. Based on the current power supply load and the current cable load capacity, calculate the remaining load of the control block within each detection cycle based on the difference.

[0076] In step S210, the detection cycle can be one hour or fifteen minutes, depending on the specific requirements. A shorter detection cycle provides more accurate data on the electrical equipment and can improve the accuracy of the current power supply load calculation.

[0077] In step S220, since there are peak periods in the production load in the industrial area, usually from 8:00 to 12:00 and from 18:00 to 22:00, the amount of remaining load will also change with the change of production load. Therefore, it is necessary to periodically calculate the remaining load according to the detection cycle to ensure that the remaining load data is consistent with the actual power supply situation.

[0078] For example, if the current power supply load in a certain detection period is 60,000 kW and the current cable load capacity is 62,000 kW, then the remaining load in the current detection period is 2,000 kW, and this is stored in the system database.

[0079] By periodically calculating the remaining load, the cable power supply pressure of the power supply block is reflected intuitively, which facilitates the calculation of the expected overload time and improves the accuracy of subsequent calculations. At the same time, it also ensures that the power supply of the controlled block can be obtained in a timely manner, thereby improving the sensitivity of the management system to the detection of cable working load.

[0080] [Fifth Embodiment]

[0081] See Figure 2 Furthermore, based on the load change rate of the controlled blocks, the estimated overload time is calculated, and the blocks to be configured are determined based on the estimated overload time, specifically including:

[0082] S330: Obtain power load data for each time period in the past of the controlled block to obtain the power load change trend;

[0083] S340. Obtain the power load data of the controlled block in the same period in the past, calculate the power load difference of the controlled block year by year, and calculate the expected growth amount.

[0084] S350, combined with the trend of power supply load change and the expected increase, the load change rate is calculated;

[0085] S360. Based on the load change rate and remaining load, calculate the time required for the current power supply load of the controlled block to exceed the current cable load capacity, and obtain the estimated overload time.

[0086] In step S330, the time period is set to be the same as the detection cycle time. Typically, power load data for each time period in the past fifteen days is retrieved to reflect recent changes in power load.

[0087] It is worth noting that if the power supply load shows a downward trend, it indicates that there is no risk of overload and there is no need to calculate the expected overload time.

[0088] In step S340, the same period in the past refers to the power supply load data of that day in the past five years. The power supply load growth of that day in each past year is calculated. Using the same method as the current maximum load calculation, the power supply load growth of that day is predicted to obtain the expected growth.

[0089] In step S350, the load change rate varies with time. To improve the accuracy of the calculation, the trend of power supply load changes and the expected increase should be considered comprehensively. To minimize the risk of cable power supply overload, a larger predicted result is selected as the data basis for calculating the load change rate. The calculation formula is as follows:

[0090] S c =(W a / W p)×100%. S c W represents the rate of change of load. a For growth, W p This represents the current power supply load.

[0091] For example, if the current power load on a certain day is 60,000 kW, and based on the trend of power load changes, it is determined that the power load is on an upward trend, with an average daily increase of 300 kW over the past fifteen days, and the expected increase of the power load on that day is calculated to be 350 kW based on the power load data of the past five years, then 350 kW is selected as the growth amount for calculating the load change rate. The calculated load change rate is (350 kW / 60,000 kW) × 100% ≈ 0.583%.

[0092] In step S360, the estimated overload time reflects the estimated remaining time for the cables in the controlled area to reach an overload state, and the calculation formula is as follows:

[0093] T s =(S L ×W r ) / (W p ×S c ). T s To anticipate the overload period, S L W is the residual load factor. r This represents the remaining load.

[0094] For example, in a certain controlled area, the remaining load is 2000kW, the set margin is 10%, then the remaining load coefficient is 90%, the current power supply load is 60000kW, the load change rate is 0.583%, and the estimated overload time is calculated as (90% × 2000kW) / (60000kW × 0.583%) ≈ 5.14 days.

[0095] It is worth noting that since the daily load change rate varies, the corresponding load change rate for the next few days can be calculated separately, and the estimated overload time can be calculated in segments to improve the accuracy of the estimated overload time calculation. The specific number of days for calculation depends on the actual needs.

[0096] By acquiring the trend of electrical load changes, it is possible to determine whether there is an overload risk in the controlled area, calculate the expected overload time, and predict the specific time of cable overload in the controlled area. This facilitates the planning and management of subsequent new energy storage devices and improves the operating efficiency of the management system.

[0097] [Sixth Embodiment]

[0098] See Figure 3Furthermore, the equipment load of the block to be configured is obtained, and based on the load change rate and the current power supply load, the power supply gap of the block to be configured during the expected overload period is calculated. Based on the power supply gap, a battery pack configuration scheme for the new energy storage battery pack is obtained, which also includes:

[0099] S410. Based on the load change rate and the current power supply load, calculate the change in power supply load per unit time of the controlled block to obtain the load growth curve;

[0100] S420. Calculate the power supply gap based on the load growth curve and the current cable load capacity;

[0101] S430. Based on the configuration priority, sort the order of solving the power supply shortage problem to obtain the solution order;

[0102] S440. Based on the order of resolution and the power supply gap, select the optimal energy storage battery packs with the best energy storage capacity, power size and quantity to meet the power supply gap requirements and configure them for the block to be configured, thus obtaining the battery pack configuration scheme.

[0103] In steps S410 to S430, since the number of new energy storage battery packs is limited, the power supply gap calculation is performed on the blocks to be configured with tight time according to the configuration priority. Under normal circumstances, the power supply gap for the next fifteen days is calculated. The minimum unit time for the load growth curve and the current cable load capacity is one day. The load growth curve refers to the daily average load. The data is recorded in the form of a line graph. The load difference when the average load is greater than the current cable load capacity is calculated, and the total value is calculated as the power supply gap.

[0104] For example, if a certain controlled block is marked as a block to be configured on July 5th of a certain year, then the load growth curve and the current cable load capacity are calculated from July 5th to July 20th. It is found that the average load on July 5th, July 10th and July 18th is greater than the current cable load capacity. The load difference for these three days is calculated to be 100kW, 300kW and 200kW respectively. Therefore, the total power supply gap of the block to be configured is 600kW.

[0105] In step S440, since the power supply gaps of different blocks to be configured vary in actual industrial production, and the specifications and quantities of new energy storage battery packs are different, in order to reduce the problem of resource shortage of new energy storage battery packs caused by too many blocks to be configured, suitable new energy storage battery packs should be selected as needed to solve the power supply gap problem of the corresponding blocks to be configured.

[0106] For example, if the power supply gap of a certain block to be configured is 600kW, and the existing load consists of three new energy storage battery packs of 200kW, 400kW and 800kW, then the 200kW and 400kW new energy storage battery packs should be selected as the battery pack configuration scheme for this block.

[0107] By calculating the power supply gap, the specific load capacity required for different blocks to be configured can be determined, and then the optimal new energy storage battery pack can be selected to supply energy to the configured block. This improves the energy storage utilization rate of the new energy storage battery pack, reduces the situation where new energy storage battery packs cannot be configured to some blocks in a timely manner due to insufficient energy storage, and improves the power supply security of the industrial area.

[0108] [Seventh Embodiment]

[0109] See Figure 4 Furthermore, based on the power-consuming equipment powered by the applicable new energy storage battery pack, the battery pack utilization rate is calculated to obtain the optimal power supply scheme, which specifically includes:

[0110] S510. Obtain the total energy storage capacity and total power data of the new energy storage battery pack in the battery pack configuration scheme, and obtain the battery pack load data.

[0111] S520. Based on the battery pack load data and equipment load, select all devices that can be powered by the new energy storage battery pack and operate normally, and mark them as candidate devices.

[0112] S530. Based on the load data of the candidate equipment and battery pack, calculate the load ratio generated when each candidate equipment is powered by a new energy storage battery pack, and obtain the battery pack utilization rate.

[0113] S540. Based on the battery pack utilization rate, combine the selected equipment and calculate the total utilization rate of each combination.

[0114] S550. Based on the total utilization rate, determine the candidate equipment for powering the new energy storage battery pack, and obtain the optimal power supply scheme.

[0115] In steps S510 to S520, if there are multiple new energy storage battery packs in the battery pack configuration scheme, in order to avoid the new energy storage battery packs with smaller load capacity not having candidate equipment to supply power, the optimal power supply scheme of the new energy storage battery packs with smaller load capacity should be determined first according to the load capacity of the new energy storage battery packs.

[0116] In steps S530 to S540, in order to alleviate the cable power supply pressure in the area to be configured as much as possible, the utilization rate of the new energy storage battery pack should be maximized. The formula for calculating the battery pack utilization rate is as follows:

[0117] U b =(W e / W b ) × 100%. U b For battery pack utilization, W e For equipment load, W b This refers to the battery pack load capacity.

[0118] For example, in a battery pack configuration scheme, the load capacity of a single new energy storage battery pack is 800kW. One of the candidate equipment combinations includes three working devices: Equipment A, Equipment B, and Equipment C, with loads of 300kW, 160kW, and 270kW respectively. The battery pack utilization rate U of Equipment A is... b = (300kW / 800kW) × 100% = 37.5%. Similarly, the battery pack utilization rates of devices B and C are 20% and 33.75% respectively. The total utilization rate of the battery packs is 91.25%.

[0119] In step S550, the total utilization rate of each group of candidate devices is calculated, and the combination with the highest total utilization rate is selected as the optimal power supply scheme. If there are multiple power supply schemes with the same total utilization rate, the scheme with the fewest working devices is selected as the optimal power supply scheme to ensure the power supply stability of the optimal power supply scheme.

[0120] By calculating the battery pack utilization rate, the utilization rate of the new energy storage battery pack was improved, the load pressure on the cable was alleviated to the greatest extent, the power supply stability and security of the control block were improved, and the new energy storage battery pack could quickly determine the optimal power supply scheme under different conditions to provide temporary power supply to suitable working equipment. This improved the configuration efficiency of the new energy storage battery pack and facilitated the subsequent power supply work.

[0121] [Eighth Embodiment]

[0122] See Figure 1 Furthermore, the calculation of the power supply gap is adjusted according to the optimal power supply scheme, and the new energy storage battery packs are re-stored according to the current power supply load, specifically including:

[0123] S610. According to the solution order and the optimal power supply scheme, connect each new energy storage battery pack to each block to be configured in sequence to supply power to the equipment.

[0124] S620. Obtain the energy storage consumption of the new energy storage battery pack in the implementation of the optimal power supply scheme, and obtain power supply data.

[0125] S630. Compare the power supply data and the power supply gap in different time periods, adjust the calculation of the power supply gap, obtain the correction coefficient, and store it in the system database for the next power supply gap calculation.

[0126] In step S610, if there are sufficient staff to implement the optimal power supply scheme for the new energy storage battery pack, the new energy storage battery pack can be configured for multiple blocks to be configured at the same time to improve the configuration efficiency.

[0127] It should be noted that since configuring new energy storage battery packs in the blocks to be configured will inevitably affect the normal power supply of some cables, the timing of connecting the new energy storage battery packs should avoid peak electricity consumption periods in the blocks to be configured, and should be done at night or other suitable times.

[0128] In step S620, the energy consumption of the new energy storage battery pack is monitored in real time. If the energy consumption is too fast, a quick response can be made to recalculate the optimal power supply scheme for the block to be configured, so as to avoid the risk of power outage due to insufficient energy storage. The power supply data is stored in the system database.

[0129] In step S630, the energy storage consumption in the power supply data reflects the actual power supply gap size of the configuration block, which differs from the predicted power supply gap size. Therefore, a correction coefficient is calculated based on the difference data to correct the calculation of the power supply gap.

[0130] For example, if the actual power shortage is calculated to be 400kW based on the power supply data of a certain block to be configured on August 15, while the predicted power shortage is 420kW, then the correction factor is 400kW / 420kW≈0.952, which is stored in the system database as the correction factor for the power shortage calculation on August 15, and used for future power shortage calculations.

[0131] By setting a correction coefficient, the accuracy of the management system in calculating the power supply gap of the block to be configured can be improved, the resource utilization rate of the new energy storage battery pack can be increased, and the power supply gap problem can be avoided due to excessive error in the calculation result, which would affect the normal production of the factory and improve the power supply security and stability of the industrial area.

[0132] [Ninth Embodiment]

[0133] See Figure 5In one specific embodiment, the present invention also provides a new energy storage battery pack charging and discharging safety management system 100. The new energy storage battery pack charging and discharging safety management method described in the above embodiment is applied in this management system. The management system 100 includes: an acquisition module 120, which is used to acquire cable working information and historical power supply load data; a prediction module 130, which is used to predict the current cable load capacity and the expected overload time; a calculation module 140, which is used to calculate the remaining load and power supply gap; and an execution module 150, which is used to execute the optimal power supply scheme. The new energy storage battery pack charging and discharging safety management system 100 has all the technical features of the above-mentioned new energy storage battery pack charging and discharging safety management method, which will not be described in detail here.

[0134] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A method for safe charging and discharging of a new energy storage battery pack, characterized in that, The management method includes: Obtain cable operating information and historical power supply load data of the controlled area to predict the current cable load capacity; Obtain the current power supply load of the control block, and calculate the remaining load of the control block based on the current power supply load and the current cable load capacity; Calculate the estimated overload time based on the load change rate of the controlled block, and determine the block to be configured based on the estimated overload time; The equipment load of the block to be configured is obtained. Based on the load change rate and the current power supply load, the power supply gap of the block to be configured is calculated within the expected overload time. Based on the power supply gap, the battery pack configuration scheme of the new energy storage battery pack is obtained. The optimal power supply scheme is obtained by calculating the battery pack utilization rate based on the electrical equipment powered by the new energy storage battery pack. The calculation of the power supply gap is adjusted according to the optimal power supply scheme, and the new energy storage battery pack is re-stored according to the current power supply load; The step of calculating the estimated overload time based on the load change rate of the controlled block, and determining the block to be configured based on the estimated overload time, specifically includes: When the expected overload time is less than the safe time, maintain the control status of the control block; When the expected overload time is greater than or equal to the safe time, the control block is marked as a block to be configured, and the working information of all electrical equipment in the block to be configured is obtained to obtain the equipment load. Based on the time required to configure the new energy storage battery pack in the control block, a corresponding safety time is set for each control block. The step of calculating the estimated overload time based on the load change rate of the controlled block, and determining the block to be configured based on the estimated overload time, specifically includes: Obtain the power load data of the control block for each past time period to obtain the power load change trend; Obtain the power supply load data of the controlled block for the same period in the past, calculate the power supply load difference of the controlled block year by year, and calculate the expected growth amount; The load change rate is calculated by combining the power supply load change trend and the expected increase. Based on the load change rate and the remaining load, the time required for the current power supply load of the control block to exceed the current cable load capacity is calculated to obtain the estimated overload time.

2. The method for safe charging and discharging of new energy storage battery packs according to claim 1, characterized in that, The process of acquiring cable operating information and historical power load data of the controlled area, and predicting the current cable load capacity, specifically includes: Based on the cable operating information, the cable loss is obtained, and the loss variation coefficient is derived. Obtain historical power supply load data for the same power consumption period within the control block, and obtain the trend of the maximum load value change of the control block within the power consumption period; Based on the trend of the maximum load change, predict the maximum load of the controlled block in the current time period to obtain the current maximum load; The current cable load capacity is calculated based on the loss variation coefficient and the current maximum load.

3. The method for safe charging and discharging of new energy storage battery packs according to claim 2, characterized in that, The step of obtaining the current power supply load of the controlled block and calculating the remaining load of the controlled block based on the current power supply load and the current cable load capacity specifically includes: Set a detection cycle, acquire the current and voltage data of all electrical devices in each detection cycle of the control block, and calculate the total data value to represent the current power supply load; Based on the current power supply load and the current cable load capacity, the difference is calculated as the remaining load of the control block in each detection cycle.

4. The method for safe charging and discharging of new energy storage battery packs according to claim 3, characterized in that, The process of obtaining the equipment load of the block to be configured, calculating the power supply gap of the block to be configured within the expected overload period based on the load change rate and the current power supply load, and obtaining the battery pack configuration scheme of the new energy storage battery pack based on the power supply gap, further includes: Based on the load change rate and the current power supply load, the change in the power supply load per unit time of the controlled block is calculated, and the load growth curve is obtained. Calculate the power supply gap based on the load growth curve and the current cable load capacity; Based on configuration priority, the order in which to resolve the power supply shortage problem is sorted to obtain the resolution order; Based on the solution order and the power supply gap, the optimal energy storage battery packs with the best energy storage capacity, power size and quantity to meet the power supply gap requirements are selected sequentially to configure the block to be configured, thus obtaining the battery pack configuration scheme.

5. The method for safe charging and discharging of new energy storage battery packs according to claim 4, characterized in that, The step of calculating the battery pack utilization rate based on the electrical equipment powered by the new energy storage battery pack to obtain the optimal power supply scheme specifically includes: Obtain the total energy storage capacity and total power data of the new energy storage battery pack in the battery pack configuration scheme to obtain the battery pack load data; Based on the battery pack load data and the equipment load, all devices that can be powered by the new energy storage battery pack and work normally are selected and marked as candidate devices. Based on the load data of the candidate devices and the battery pack, the load ratio generated when each candidate device is powered by the new energy storage battery pack is calculated, and the battery pack utilization rate is obtained. Based on the battery pack utilization rate, the candidate devices are combined to calculate the total utilization rate of each combination; Based on the total utilization rate, the candidate equipment for supplying power to the new energy storage battery pack is determined, and the optimal power supply scheme is obtained.

6. The method for safe charging and discharging of new energy storage battery packs according to claim 5, characterized in that, The step of adjusting the calculation of the power supply gap based on the optimal power supply scheme and re-storing the new energy storage battery pack according to the current power supply load specifically includes: According to the solution order and the optimal power supply scheme, each of the new energy storage battery packs is connected to each of the blocks to be configured to supply power to the equipment. Obtain the energy storage consumption of the new energy storage battery pack in the implementation of the optimal power supply scheme to obtain power supply data; By comparing the power supply data and the power supply gap in different time periods, the calculation of the power supply gap is adjusted to obtain a correction coefficient, which is then stored in the system database for the next calculation of the power supply gap.

7. A charging and discharging safety management system for a new energy storage battery pack, characterized in that, The new energy storage battery pack charging and discharging safety management method according to any one of claims 1 to 5 is applied in the management system, the management system comprising: The acquisition module is used to acquire the cable operating information and the historical power supply load data; The prediction module is used to predict the current cable load capacity and the expected overload time; The calculation module is used to calculate the remaining load and the power supply gap; An execution module is used to execute the optimal power supply scheme.

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