Charging and discharging control methods, systems, equipment, and media based on EMS energy storage devices

Abstract

A method, system, device, and medium for charging and discharging control based on EMS energy storage devices are disclosed, relating to the field of energy storage technology. The method includes: acquiring the power consumption plan of the external power grid and battery data of multiple EMS energy storage devices; determining the expected power consumption and real-time electricity price for each power consumption period based on the power consumption plan; classifying each EMS energy storage device into a group of devices to be charged, a group of devices to be discharged, and a group of devices in standby mode based on the battery capacity, battery output power, and conversion efficiency in each battery data; during each power consumption period, matching at least one of the groups of devices to be charged, a group of devices to be discharged, and a group of devices in standby mode as a target device group based on the expected power consumption, and determining the energy consumption cost of the target device group based on the real-time electricity price; if the energy consumption cost for each power consumption period is less than a preset energy consumption cost, then controlling each target device group to supply power to the external power grid. Implementing the technical solution provided in this application achieves the effect of improving the charging and discharging control efficiency of EMS energy storage devices.

Description

Technical Field

[0001] This application relates to the field of energy storage technology, specifically to a charging and discharging control method, system, device, and medium based on EMS energy storage devices. Background Technology

[0002] With the increasing proportion of renewable energy, the demand for energy storage technology in the power grid is growing. As a widely used energy storage technology, electrochemical-based electric energy storage systems (EMS) play an important role in grid-side peak shaving applications due to their advantages of fast response and high power density.

[0003] Currently, existing EMS energy storage device charging and discharging control methods employ preset charging and discharging strategies, controlling the energy storage device to perform charging and discharging operations according to pre-set charging and discharging times and strategies. However, in practical applications, due to fluctuations in electricity prices and electricity demand at different times, preset static charging and discharging strategies are difficult to adapt to dynamically changing electricity demands, resulting in low charging and discharging control efficiency of energy storage devices. Summary of the Invention

[0004] This application provides a charging and discharging control method, system, device, and medium based on EMS energy storage devices, which has the effect of improving charging and discharging control efficiency.

[0005] In a first aspect, this application provides a charging and discharging control method based on an EMS energy storage device, including:

[0006] Obtain the power consumption plan of the external power grid and battery data from multiple EMS energy storage devices;

[0007] Based on the electricity consumption plan, determine the estimated electricity consumption and real-time electricity price for each electricity consumption period;

[0008] Based on the battery capacity, battery output power and conversion efficiency in the battery data, the EMS energy storage devices are divided into a charging device group, a discharging device group and a standby device group.

[0009] During each of the aforementioned electricity consumption periods, based on the expected electricity consumption, at least one of the following groups—the group of devices to be charged, the group of devices to be discharged, and the group of devices in standby—is matched as a target device group, and the energy consumption cost of the target device group is determined based on the real-time electricity price.

[0010] If the energy consumption cost for each of the aforementioned power consumption periods is less than the preset energy consumption cost, then the target equipment group for each of the aforementioned power consumption periods is controlled to supply power to the external power grid.

[0011] By adopting the above technical solution, the external power grid's electricity consumption plan and EMS energy storage device battery data can be obtained, accurately revealing the power grid's electricity consumption and the energy storage device's status, providing a basis for formulating charging and discharging plans. Based on the electricity consumption plan, the estimated electricity consumption and real-time electricity price for each time period can be determined, allowing for understanding of electricity demand and price information for each period. Grouping energy storage devices according to battery data allows for understanding the availability of each device, providing possible combinations for matching charging and discharging targets. Charging and discharging target groups are matched for each time period, and charging and discharging operations are performed based on electricity demand and device status. This enables dynamic adjustment of the charging and discharging operations of the EMS energy storage device according to changes in electricity demand and real-time electricity prices, improving the charging and discharging control efficiency of the EMS energy storage device.

[0012] Optionally, based on the battery capacity, battery output power, and conversion efficiency in the battery data, an energy efficiency score is determined for each EMS energy storage device; EMS energy storage devices with an energy efficiency score greater than or equal to a preset energy efficiency score and a battery capacity greater than or equal to a preset capacity are classified into the device group to be discharged; EMS energy storage devices with an energy efficiency score greater than or equal to a preset energy efficiency score and a battery capacity less than a preset capacity are classified into the device group to be charged; and EMS energy storage devices with an energy efficiency score less than a preset energy efficiency score are classified into the standby device group.

[0013] By employing the aforementioned technical solution, an energy efficiency score can be calculated for each energy storage device, enabling an assessment of the device's overall availability and providing a basis for accurate device grouping. The energy efficiency score comprehensively considers multiple factors, including battery capacity, output power, and conversion efficiency, fully reflecting device availability. Grouping devices based on energy efficiency scores and battery capacity allows for precise judgment of device status. Devices with sufficient power and high efficiency are assigned to the discharge-ready group, those with low power to the charging-ready group, and those with poor efficiency to the standby group. This energy efficiency score-based grouping method achieves a comprehensive assessment and precise classification of the combined utilization of energy storage devices.

[0014] Optionally, the battery capacity, battery output power, and conversion efficiency from each battery data point are substituted into a preset formula to obtain the energy efficiency score of each EMS energy storage device; wherein the preset formula is:

[0015]

[0016] In the formula, K i α represents the energy efficiency score of the i-th EMS energy storage device. ti δ represents the electricity price impact factor for the i-th EMS energy storage device at time t. ti P represents the power consumption impact factor of the i-th EMS energy storage device at time t. tiμ represents the battery output power of the i-th EMS energy storage device at time t. ti E represents the conversion efficiency of the i-th EMS energy storage device at time t. min，ti E represents the minimum battery capacity of the i-th EMS energy storage device at time t. max，ti H represents the maximum battery capacity of the i-th EMS energy storage device at time t. i E represents the health coefficient of the i-th EMS energy storage device. ti β represents the battery capacity of the i-th EMS energy storage device at time t. i This represents the depth of discharge coefficient of the i-th EMS energy storage device.

[0017] By adopting the above technical solution and pre-setting a comprehensive calculation formula, multiple factors such as battery capacity, output power, and conversion efficiency can be fully considered. Substituting the specific battery data of each energy storage device into this formula yields the device's energy efficiency score. This scoring method based on a pre-set calculation formula achieves a comprehensive assessment and accurate calculation of the device's current state, fully reflecting its usability at any given moment.

[0018] Optionally, the peak electricity consumption period in the electricity consumption plan is determined, and the peak electricity consumption period is divided into a preset number of electricity consumption periods; the load devices and the load power corresponding to the load devices are obtained for each electricity consumption period; and the expected electricity consumption for each electricity consumption period is determined based on the load power of each load device.

[0019] By adopting the above technical solution, the peak electricity consumption cycle of the electricity consumption plan can be identified, and charging and discharging strategies can be formulated for peak electricity consumption periods. The peak cycle can be subdivided into multiple electricity consumption periods, and segmented and refined planning can be carried out.

[0020] Optionally, the power difference for each power consumption period is determined based on the estimated power consumption and the preset standard power consumption. For each power consumption period, if the power difference is greater than or equal to a preset first power difference, the group of devices to be discharged is designated as the target device group. For each power consumption period, if the power difference is less than the preset first power difference and greater than or equal to a preset second power difference, the devices to be charged and the standby device group are designated as the target device group. For each power consumption period, if the power difference is less than the preset second power difference, the group of devices to be charged is designated as the target device group, wherein the preset first current difference is greater than the preset second power difference.

[0021] By employing the above technical solution and calculating the power difference for each time period, the demand for charging and discharging capacity in each period can be determined, providing a basis for matching charging and discharging targets. Setting two power difference thresholds can distinguish between periods with large power differences suitable for discharging, periods with moderate differences suitable for charging and discharging, and periods with very small differences requiring charging. Matching charging and discharging target groups according to the size of the power difference allows for precise satisfaction of power demand in each time period; large differences result in discharging, small differences in charging, and the two are mixed when they overlap, achieving more flexible and accurate matching of charging and discharging targets.

[0022] Optionally, the total output power and power consumption duration of the target equipment group corresponding to each of the power consumption periods are obtained; and the energy consumption cost of each target equipment group is calculated based on the total output power and power consumption duration of each target equipment group.

[0023] By adopting the above technical solution, the total output power and power consumption duration of the target equipment group can be obtained, allowing for an accurate determination of the total charging and discharging volume during that period. Based on the total output power and power consumption duration, energy costs can be calculated, enabling an assessment of the economic benefits of the charging and discharging scheme. The total output power and power consumption duration determine the total charging and discharging volume; multiplying this by the real-time electricity price yields the energy cost. By calculating the energy cost for each time period, the economic viability of different charging and discharging schemes can be evaluated, allowing the selection of the charging and discharging plan with the lowest cost while meeting power consumption requirements.

[0024] Optionally, if there is a target power consumption period in each of the power consumption periods where the energy consumption cost is greater than or equal to the preset energy consumption cost, then the total output power of the target equipment group corresponding to the target power consumption period is reduced until the energy consumption cost is less than the preset energy consumption cost.

[0025] By adopting the above technical solution, when there are periods with excessively high costs, reducing the output power of the target equipment group can effectively reduce energy consumption costs during those periods. Gradually adjusting the power until the cost falls below a threshold achieves the correction and optimization of high-cost solutions. Compared to simply considering electricity demand, this method of limiting costs while meeting demand improves the economics of charge and discharge plans. By making timely adjustments to periods with costs exceeding expectations, a charge and discharge strategy that minimizes costs while meeting electricity demand can be obtained.

[0026] A second aspect of this application provides a charge and discharge control system based on an EMS energy storage device, the system comprising:

[0027] The data acquisition module is used to acquire the power consumption plan of the external power grid and the battery data of multiple EMS energy storage devices; and to determine the expected power consumption and real-time electricity price for each power consumption period based on the power consumption plan.

[0028] The device grouping module is used to divide each EMS energy storage device into a device group to be charged, a device group to be discharged, and a standby device group based on the battery power, battery output power, and conversion efficiency in the battery data of each device.

[0029] The device group matching module is used to match at least one of the device group to be charged, the device group to be discharged, and the standby device group as a target device group during each of the power consumption periods, based on the expected power consumption, and to determine the energy consumption cost of the target device group based on the real-time electricity price.

[0030] The device power supply module is used to control the target device group of each power consumption period to supply power to the external power grid if the energy consumption cost of each power consumption period is less than the preset energy consumption cost. In a third aspect of this application, an electronic device is provided, including a memory, a processor, and a program stored in the memory and executable on the processor. When the program is loaded and executed by the processor, it implements a charging and discharging control method based on an EMS energy storage device.

[0031] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement a charging and discharging control method based on an EMS energy storage device.

[0032] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0033] By adopting the technical solution of this application, the external power grid's electricity consumption plan and EMS energy storage device battery data can be obtained, accurately revealing the power grid's electricity consumption and the energy storage device's status, providing a basis for formulating charging and discharging plans. Based on the electricity consumption plan, the estimated electricity consumption and real-time electricity price for each time period can be determined, allowing for understanding of electricity demand and price information for each period. Grouping the energy storage devices according to battery data allows for understanding the availability of each device, providing possible combinations for matching charging and discharging targets. Charging and discharging target groups are matched for each time period, and charging and discharging operations are performed based on electricity demand and device status. This achieves dynamic adjustment of the charging and discharging operations of the EMS energy storage device according to changes in electricity demand and real-time electricity prices, improving the charging and discharging control efficiency of the EMS energy storage device. Attached Figure Description

[0034] Figure 1 This is a schematic flowchart of a charging and discharging control method based on an EMS energy storage device provided in an embodiment of this application;

[0035] Figure 2 This is a schematic diagram of the structure of a charging and discharging control system based on an EMS energy storage device disclosed in an embodiment of this application;

[0036] Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0037] Explanation of reference numerals in the attached drawings: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Implementation

[0038] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0039] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0040] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0041] This application provides a charging and discharging control method based on an EMS energy storage device. In one embodiment, please refer to... Figure 1 , Figure 1 This is a flowchart illustrating the charging and discharging control method for an EMS energy storage device provided in this application embodiment. This method can be implemented using a computer program, which can be integrated into an application or run as a standalone utility application. The method can also be implemented using a microcontroller and can run on a charging and discharging control system for an EMS energy storage device based on the von Neumann architecture. Specifically, the method may include the following steps:

[0042] Step 101: Obtain the power consumption plan of the external power grid and the battery data of multiple EMS energy storage devices; based on the power consumption plan, determine the expected power consumption and real-time electricity price for each power consumption period.

[0043] The electricity consumption plan of the external power grid refers to the forecast plan of the local power grid's daily load electricity consumption for the next week, formulated by the power grid company based on historical data. In the embodiments of this application, the electricity consumption plan of the external power grid can be understood as a forecast report of peak electricity consumption for each period of the next week, drawn by the power grid company based on users' electricity consumption habits.

[0044] Battery data refers to the real-time operating status data of the batteries in an EMS energy storage device connected to the power grid. In the embodiments of this application, battery data can be understood as parameters such as battery charge, maximum output power, and current conversion efficiency collected by the energy storage device monitoring system.

[0045] Specifically, to effectively support the external power grid, it is necessary to obtain information on the power grid's electricity consumption and the operational status of the energy storage devices. This involves obtaining the current or near-term power grid consumption plan, which forecasts peak electricity demand and pricing for various future periods. Real-time battery data from multiple EMS energy storage devices connected to the grid is collected through a monitoring system, including parameters such as battery capacity and maximum output power. After obtaining this information, the expected load for each electricity consumption period is determined based on the grid's electricity consumption plan, and the corresponding electricity price for that period is also determined. The monitored battery data from the energy storage devices provides a data foundation for subsequent charge and discharge control. Obtaining the grid's electricity consumption plan is crucial because it reflects the grid's load and allows for the development of appropriate energy storage charge and discharge strategies by knowing the fluctuations in electricity consumption for each period in advance. Electricity price information also affects the economics of charge and discharge operations. Furthermore, understanding the battery status of the energy storage devices is fundamental to scheduling charge and discharge. Combining these two pieces of information allows for the determination of the expected electricity consumption and corresponding real-time electricity price for each period, providing support for subsequent charge and discharge strategy development.

[0046] Based on the above embodiments, as an optional embodiment, step 101, which involves determining the expected electricity consumption and real-time electricity price for each electricity consumption period according to the electricity consumption plan, may further include the following steps:

[0047] Step 201: Determine the peak electricity consumption cycle in the electricity consumption plan and divide the peak electricity consumption cycle into a preset number of electricity consumption periods.

[0048] The peak electricity consumption cycle refers to the period of sustained high power consumption reflected in the power grid company's electricity consumption plan. In this embodiment, the peak electricity consumption cycle can be understood as multiple consecutive periods marked "peak" in the electricity consumption plan. These periods cover the cycle of peak electricity consumption for households and businesses throughout the day, reflecting the time range of greatest daily electricity demand on the power grid.

[0049] Electricity consumption periods refer to the time intervals after the peak electricity consumption cycle is evenly divided. In the embodiments of this application, electricity consumption periods can be understood as dividing a peak electricity consumption cycle into multiple stages of equal length, such as four 1-hour electricity consumption periods. These periods are used to distinguish different time ranges within the peak electricity consumption cycle in order to formulate charging and discharging control strategies for each period.

[0050] Specifically, based on the previously obtained external power grid consumption plan, the peak power consumption cycle indicated in the plan is first determined. This is done by checking the power consumption plan and identifying multiple consecutive periods marked as "peak" as the peak power consumption cycle. The reason for determining the peak power consumption cycle is that these periods reflect the time range of maximum demand from the power grid for energy storage support. After determining the peak power consumption cycle, it needs to be divided into multiple power consumption periods to formulate more detailed charging and discharging control strategies. Here, based on computational complexity and control flexibility requirements, a peak power consumption cycle is evenly divided into four power consumption periods. This large cycle is split into multiple periods because the power consumption situation in each period will differ, and overall control alone cannot meet the changing demand. By clearly defining and segmenting the peak power consumption cycle that occurs during peak power grid periods, and in conjunction with the subsequent development of time-segmented charging and discharging strategies, the system can more flexibly match changes in power demand within each period, making the peak-valley regulation function of the energy storage system more precise and effective.

[0051] Step 202: Obtain the load devices and their corresponding load power for each power consumption period; based on the load power of each load device, determine the expected power consumption for each power consumption period.

[0052] Here, "load device" refers to an electrical-consuming device connected to the power grid. In the embodiments of this application, "load device" can be understood as various household appliances, commercial equipment, and other electrical loads that are turned on and used during electricity consumption periods. These devices are used to reflect the actual power consumption in each period, and their power parameters are the basis for calculating the expected power consumption during the period.

[0053] Load power refers to the power consumption of a load device during operation. In the embodiments of this application, load power can be understood as the rated power parameters of various load devices, that is, the power consumption level of the device during normal operation. These power parameters are used to calculate the total power demand of the load devices turned on in each time period, that is, the expected power consumption in that time period.

[0054] Specifically, the system queries the types of residential and commercial load devices corresponding to each electricity consumption period, along with the typical load power of these devices. These load devices include household appliances such as air conditioners and refrigerators, as well as commercial loads such as lighting and computers in shopping malls. Then, based on the power parameters of each load device, the total power demand for the corresponding period is calculated, thus determining the expected electricity consumption for that period. Obtaining the load devices and power for each period is crucial because electricity consumption varies depending on the load at different times. Only by calculating the expected electricity consumption for each period in advance can a charging and discharging strategy that meets the demand be formulated. After determining the electricity consumption, more charging and discharging can be scheduled for periods with high electricity consumption, effectively reducing peak loads. Determining the specific electricity consumption situation for each period provides target demand parameters for subsequent matching of charging and discharging equipment, making charging and discharging control more economical and efficient.

[0055] Step 102: Based on the battery capacity, battery output power and conversion efficiency in each battery data, divide each EMS energy storage device into a charging device group, a discharging device group and a standby device group.

[0056] The battery capacity, battery output power, and conversion efficiency in the battery data refer to the real-time status parameters of the batteries in each EMS energy storage device connected to the grid. In this embodiment, it can be understood as the remaining capacity, maximum output power, and energy conversion efficiency of each battery pack collected by the energy storage device monitoring system at the current moment. These parameters are used to evaluate the current available charge / discharge capacity and efficiency level of each energy storage device for charge / discharge grouping and management.

[0057] The "equipment to be charged group" refers to the group of EMS energy storage devices that are determined to require priority charging based on battery data evaluation. In the embodiments of this application, this can be understood as assigning energy storage devices with lower battery capacity to the "equipment to be charged group." These devices will receive priority charging under the charging control strategy to ensure energy reserves.

[0058] The "discharge-ready device group" refers to the EMS energy storage device group that is determined to be eligible for priority discharge based on battery data evaluation. In the embodiments of this application, it can be understood as classifying energy storage devices with higher battery capacity and higher conversion efficiency into the discharge-ready group. These devices will be given priority use in the discharge control strategy to support the power grid.

[0059] The standby device group refers to the EMS energy storage device group that is determined to be unsuitable for charging and discharging at present based on battery data evaluation. In the embodiments of this application, it can be understood that energy storage devices with lower conversion efficiency are assigned to the standby group. These devices are not used in charge and discharge control and are used as backups.

[0060] Specifically, based on parameters such as the remaining battery capacity, maximum output power, and current conversion efficiency of each device, the available charge / discharge capacity of each device is calculated. Devices with higher battery capacity and higher conversion efficiency are then grouped into a "waiting to discharge" group; these devices are currently in good condition and suitable for priority discharge to support the grid. Devices with lower battery capacity are placed in a "waiting to charge" group and require priority charging. Devices with lower efficiency are placed in a "standby" group, to be charged and discharged only after their condition improves. This grouping of energy storage devices is because different devices are in different states, and their charging and discharging priorities also differ. Grouping allows for more differentiated control, prioritizing the charging and discharging of devices in good condition, thus making the overall system regulation more efficient.

[0061] Based on the above embodiments, as an optional embodiment, in step 102: based on the battery capacity, battery output power, and conversion efficiency in each battery data, each EMS energy storage device is divided into a device group to be charged, a device group to be discharged, and a standby device group. This step may also include the following steps:

[0062] Step 301: Determine the energy efficiency score of each EMS energy storage device based on the battery capacity, battery output power, and conversion efficiency in the battery data.

[0063] The energy efficiency score refers to a set of comprehensive indicators calculated based on the battery data of the EMS energy storage device, used to evaluate the device's availability. In this embodiment, the energy efficiency score can be understood as a score result calculated according to a certain algorithm based on indicators such as battery capacity, output power, and conversion efficiency. This score is used to assess the device's current charge / discharge level and operating status.

[0064] Specifically, after acquiring data on battery capacity, output power, and conversion efficiency of each EMS energy storage device, it is necessary to evaluate the energy efficiency level of each device based on this data to provide a basis for subsequent scheduling and control. A calculation formula is established to comprehensively consider multiple parameters, including battery capacity, power, and efficiency, to calculate a comprehensive energy efficiency score. Calculating the energy efficiency score is crucial because multiple parameters reflect different capabilities of the devices, requiring comprehensive evaluation. After obtaining the energy efficiency score for each device, the current availability status and priority of each device can be clearly understood. In subsequent charging and discharging scheduling, devices with higher energy efficiency scores can be prioritized for use, achieving a survival-of-the-fittest approach and maximizing the system's effectiveness.

[0065] Based on the above embodiments, as an optional embodiment, in step 301: determining the energy efficiency score of each EMS energy storage device according to the battery capacity, battery output power, and conversion efficiency in each battery data, this step may further include the following steps:

[0066] Step 311: Substitute the battery capacity, battery output power, and conversion efficiency from each battery data point into a preset formula to obtain the energy efficiency score for each EMS energy storage device; the preset formula is:

[0067]

[0068] In the formula, K i α represents the energy efficiency score of the i-th EMS energy storage device. ti δ represents the electricity price impact factor for the i-th EMS energy storage device at time t. ti P represents the power consumption impact factor of the i-th EMS energy storage device at time t. ti μ represents the battery output power of the i-th EMS energy storage device at time t. ti E represents the conversion efficiency of the i-th EMS energy storage device at time t. min，ti E represents the minimum battery capacity of the i-th EMS energy storage device at time t. max，ti H represents the maximum battery capacity of the i-th EMS energy storage device at time t. i E represents the health coefficient of the i-th EMS energy storage device. ti β represents the battery capacity of the i-th EMS energy storage device at time t. i This represents the depth of discharge coefficient of the i-th EMS energy storage device.

[0069] The preset formula refers to the mathematical model formula used to calculate the energy efficiency score of each EMS energy storage device. In the embodiments of this application, the preset formula can be understood as a multivariate analysis model that includes factors such as battery capacity, battery output power, and conversion efficiency. The preset formula is used to quantitatively calculate and evaluate the energy efficiency score of each EMS energy storage device. By substituting actual test data, the energy efficiency score of each EMS energy storage device can be calculated.

[0070] Specifically, after obtaining the battery capacity, output power, and conversion efficiency data for each EMS energy storage device, it is necessary to calculate the energy efficiency score for each device using this data. A formula for calculating the energy efficiency score needs to be established, which comprehensively considers multiple factors such as battery capacity, power, and efficiency. Then, the battery data for each device is substituted into this formula for calculation to obtain the device's energy efficiency score. The purpose of calculating the energy efficiency score is to use multiple attribute parameters of the device to evaluate a comprehensive index that reflects its usability. Battery capacity is related to output capacity, power is related to output response speed, and efficiency is related to economic efficiency. Reasonably weighting these factors can assess the overall level of the device and provide data reference for subsequent device grouping and the formulation of charging and discharging strategies.

[0071] The formula consists of three parts. The first part describes the impact of electricity consumption and real-time electricity prices on the energy efficiency score, α. ti The price factor is typically related to local or time-of-day electricity prices. Its level reflects the cost or benefit of buying (or selling) electricity at a specific point in time. For example, during peak electricity demand periods, electricity prices may rise, and correspondingly, α... ti It will also increase. δ ti The electricity consumption influencing factor is related to the demand response incentives provided by grid operators. When the grid load is too high or the system is unstable, grid operators may incentivize users to reduce electricity consumption or increase supply through demand response procedures. In this case, δ... ti This will increase, reflecting the additional benefits of participating in demand response.

[0072] Part Two describes the impact of battery output power and conversion efficiency on the energy efficiency score, P ti ×μ ti This part of the calculation takes into account the actual output power after conversion efficiency. If the battery efficiency is 90%, then the actual output power will be 90% of the theoretical output power. max(P) ti ×μ ti E min，ti This operation ensures that the battery's output power will not be lower than E. min，ti This refers to the minimum limit of the battery output power at time point t. If the calculated actual output power is lower than this minimum value, the system will adjust the output power to E. min，ti This is to prevent the battery output from being too low, which would prevent basic power needs or safety requirements from being met. ti ×μ ti E min，ti E max，ti This step ensures that the adjusted output power does not exceed E. max，ti This refers to the maximum limit of the battery output power at time point t. If the output power in the preceding steps exceeds this maximum value, the system will limit the output power to E. max，ti This is to prevent the battery from over-discharging and to protect the battery's lifespan and safety.

[0073] Part Three describes the impact of battery capacity and depth of discharge on the energy efficiency score, H. i ×E ti This section multiplies the battery's health coefficient by its charge level. This means the battery's health status will be adjusted based on its current charge level, allowing the system to adjust accordingly via E... ti The battery capacity responds to different states of charge and discharge. This is a penalty measure designed to reduce the risk of accelerated battery aging due to deep discharge. When the penalty term is increased, the denominator of the penalty term increases, resulting in a decrease in the overall energy efficiency score. This reflects the need to consider battery health protection more when the depth of discharge is greater.

[0074] In summary, this preset formula takes into account the battery's current charge, output power, and conversion efficiency. Through this adjustment, the energy efficiency score not only reflects the battery's instantaneous performance but also considers its long-term health and efficiency, thus better guiding battery usage and charge / discharge strategies.

[0075] Step 302: EMS energy storage devices with energy efficiency scores greater than or equal to preset energy efficiency scores and battery capacity greater than or equal to preset capacity are classified as devices to be discharged; EMS energy storage devices with energy efficiency scores greater than or equal to preset energy efficiency scores and battery capacity less than preset capacity are classified as devices to be charged; EMS energy storage devices with energy efficiency scores less than preset energy efficiency scores are classified as standby devices.

[0076] Specifically, after calculating the energy efficiency score of each EMS energy storage device, the devices need to be grouped based on the score results and battery charge status to prepare for subsequent charge and discharge control. An energy efficiency score standard and a charge standard are preset, and then each device's score and charge level are determined to fall within a specific range. If a device's energy efficiency score is greater than or equal to the preset value and its charge level is greater than or equal to the standard, it is assigned to the "waiting to discharge" group, indicating that its condition is good and suitable for priority discharge. If the score is greater than the standard but the charge level is too low, it is assigned to the "waiting to charge" group. Finally, if the score is lower than the standard, it is assigned to the "standby" group regardless of the charge level. This grouping is to fully consider the overall condition of the devices; both high energy efficiency and sufficient charge are necessary for priority discharge. Devices with insufficient charge are prioritized for charging, while those with poor energy efficiency are left in standby. The purpose of grouping is to match the device status with the charge and discharge targets, fully utilizing the system's effectiveness. By setting standard groups through energy efficiency scores, precise charge and discharge preparation is achieved, providing a foundation for subsequent development of time-segmented and grouped charge and discharge control strategies.

[0077] Step 103: During each electricity consumption period, based on the expected electricity consumption, match at least one of the following groups as the target equipment group: the equipment group to be charged, the equipment group to be discharged, and the equipment group in standby mode, and determine the energy consumption cost of the target equipment group based on the real-time electricity price.

[0078] Here, energy consumption cost refers to the expense incurred by the EMS energy storage device group during charging and discharging. In this embodiment, energy consumption cost can be understood as the cost value of charging and discharging energy consumed by the target device group based on its charging and discharging capacity and in conjunction with real-time electricity prices. This energy consumption cost is used to evaluate the economic benefits of different charging and discharging schemes.

[0079] Specifically, based on the expected electricity consumption for each time period, one or more of the following groups—the charging group, the discharging group, and the standby group—are selected as the target charging and discharging equipment group for that time period. For example, the discharging group is prioritized when electricity consumption is high, and the charging group is considered when electricity consumption is low. Then, based on the real-time electricity price for that time period and the charging and discharging capacity of the target group, the energy consumption cost of the target group is calculated. This matching of target groups is to select the appropriate equipment group for charging and discharging output based on the current electricity consumption and price signals, thus meeting both electricity demand and economic considerations. Calculating the energy consumption cost of the target group is to evaluate the economic benefits of different combinations and select the target group with the lowest cost, making the system adjustment more efficient. By matching charging and discharging target groups for each time period and evaluating costs, a precise design of the charging and discharging scheduling scheme is achieved, meeting both electricity demand and economic considerations.

[0080] Based on the above embodiments, as an optional embodiment, in step 103: during each power consumption period, according to the expected power consumption, at least one of the following groups—the group of devices to be charged, the group of devices to be discharged, and the group of devices in standby mode—is matched as the target device group. This step may further include the following steps:

[0081] Step 401: Determine the power consumption difference for each power consumption period based on the estimated power consumption and the preset standard power consumption.

[0082] Here, the power consumption difference refers to the numerical difference between the expected power consumption and the standard power consumption during a power consumption period. In the embodiments of this application, the power consumption difference can be understood as the difference between the expected power consumption for each period and a preset standard power consumption, which is used to indicate the extent of the excess or deficiency of power consumption during that period relative to the standard state.

[0083] Specifically, a preset standard electricity consumption level is set, which can be determined based on historical data. Then, the estimated electricity consumption for each time period is compared with the standard electricity consumption, and the difference between the two is calculated as the electricity difference for each time period. A positive electricity difference occurs when the estimated electricity consumption is higher than the standard electricity consumption, and vice versa. The purpose of calculating the electricity difference is to determine the relationship between each time period and the normal electricity consumption level, as well as the specific magnitude of the difference. This clarifies which time periods have excess or insufficient electricity consumption, and the severity of the problem. This forms the basis for formulating energy storage charging and discharging strategies. More charging and discharging is arranged for periods with high electricity consumption to regulate demand and achieve peak shaving and valley filling. By calculating the electricity difference, the charging and discharging demand and its magnitude for each time period are clarified, providing target parameters for matching charging and discharging capacity with the actual needs of the power grid, making the formulated charging and discharging strategies more targeted.

[0084] Step 402: For each power consumption period, if the power difference is greater than or equal to the preset first power difference, then the equipment group to be discharged is taken as the target equipment group.

[0085] Specifically, a preset first power difference is set as the judgment standard. Then, it is determined whether the power difference in each time period is greater than or equal to the first power difference. If the power difference in a time period is greater than or equal to the first power difference, the group of devices to be discharged is determined as the target group for charging and discharging in that time period. When the power difference in a certain time period is large, it indicates that the power consumption in that time period is excessive, and it is necessary to enhance the discharge to achieve the effect of peak shaving and valley filling. At this time, using the group of devices to be discharged as the target can maximize the discharge amount and achieve high discharge efficiency.

[0086] Step 403: For each power consumption period, if the power difference is less than the preset first power difference and greater than or equal to the preset second power difference, then the device to be charged and the standby device group are taken as the target device group.

[0087] Specifically, a second power difference is set as a new judgment standard. Then, for time periods where the power difference is less than the first power difference but greater than or equal to the second power difference, the device group to be charged and the standby device group are designated as the target charging and discharging device groups for that time period. Although the power difference in these time periods is not as large as the first standard, there is still a certain degree of power shortage, so charging measures are needed to fill the valley. The charging capacity does not need to be too large, so it can be provided by the device group to be charged and the less efficient standby group to improve economy. By setting the second power difference and judging and selecting the target group, matching charging targets are obtained even in periods with low power shortage, so as to accurately perform peak shaving and valley filling processing on power differences at different levels.

[0088] Step 404: For each power consumption period, if the power difference is less than the preset second power difference, then the group of devices to be charged is taken as the target group, and the preset first current difference is greater than the preset second power difference.

[0089] Specifically, a second power difference is preset, which is less than the first power difference. Then, it is determined whether the power difference in each time period is lower than the second power difference. If the power difference in a time period is less than the second power difference, the group of devices to be charged is identified as the target group for charging and discharging in that time period. During these periods with very small power differences, only small-scale charging adjustments are needed. In this case, the charging target only needs to be the group to be charged, which provides the required power while being relatively economical. Large-scale adjustments are not necessary. By setting the second power difference and selecting the group to be charged as the target, a suitable charging scheme is obtained even during periods with relatively normal power levels, achieving a fine-tuning effect while improving economy.

[0090] Based on the above embodiments, as an optional embodiment, step 103, determining the energy consumption cost of the target equipment group according to the real-time electricity price, may further include the following steps:

[0091] Step 405: Obtain the total output power and power consumption duration of the target equipment group corresponding to each power consumption period; calculate the energy consumption cost of each target equipment group based on the total output power and power consumption duration of each target equipment group.

[0092] The total output power refers to the combined output power of the target device group during a charging / discharging period. In the embodiments of this application, it can be understood as the sum of the power output of all devices in the target device group during a charging / discharging period.

[0093] The power consumption duration refers to the length of time that the target device group continuously charges and discharges within a charging and discharging period. In the embodiments of this application, it can be understood as the specific time span of the charging and discharging period.

[0094] Specifically, the total output power and specific power consumption duration of the target equipment group for each time period are obtained. The total output power of the target group can be derived from the sum of all devices within the group. Then, based on the total output power of the target group, the power consumption duration of the time period, and the real-time electricity price, the charging and discharging energy consumption cost of the target group during that time period can be calculated. Calculating the energy consumption cost of the target group for each time period is to evaluate the economic benefits of the charging and discharging scheme and select the lowest-cost scheme while meeting power demand. The output power and duration of the target group determine the power consumption, and combined with the real-time electricity price, the economic efficiency can be calculated. By calculating the energy consumption cost of each group, the economic evaluation of the charging and discharging plan is achieved, allowing the selection of the most cost-effective charging and discharging scheme, thereby improving system regulation efficiency.

[0095] Based on the above embodiments, as an optional embodiment, in step 103: determining the energy consumption cost of the target equipment group according to the real-time electricity price, this step may further include the following steps:

[0096] Step 406: If there is a target power consumption period in each power consumption period where the energy consumption cost is greater than or equal to the preset energy consumption cost, then reduce the total output power of the target equipment group corresponding to the target power consumption period until the energy consumption cost is less than the preset energy consumption cost.

[0097] Specifically, an energy cost threshold is preset. Then, all time periods with costs greater than or equal to this threshold are identified and designated as target adjustment periods. For these target periods, the total output power of the target charging / discharging group needs to be reduced until its energy cost falls below the preset cost threshold. For example, this can be achieved by gradually reducing the output power of devices within the group, reducing the number of devices, or replacing devices within the group, until the recalculated energy cost is less than the threshold. This adjustment is made because excessively high costs indicate poor economic efficiency of the current charging / discharging scheme, requiring a more optimized combination to reduce energy costs and ensure economic benefits. By adjusting power and schemes to achieve economic goals, and by timely adjusting periods with excessively high costs, economic constraints and optimizations of the charging / discharging plan are achieved, resulting in a charging / discharging strategy that meets electricity demand while being economically efficient.

[0098] Step 104: If the energy consumption cost for each power consumption period is less than the preset energy consumption cost, then control the target equipment group for each power consumption period to supply power to the external power grid.

[0099] Specifically, a threshold energy cost is preset, and then it is determined whether the energy cost for each time period is lower than this threshold. If the energy cost for a time period is lower than the threshold, the target equipment group for that time period is allowed to supply power to the external power grid, that is, to supply discharge to the grid according to the charging and discharging strategy. This judgment is based on the fact that low energy cost indicates high economic benefits of charging and discharging, making it worthwhile to implement. Power is supplied to the grid only when it is economically viable; if the cost is too high, the plan should be adjusted. Supplying power means discharging to or charging from the grid according to a plan. By setting an energy cost threshold, the economics of charging and discharging are constrained, and implementation is only carried out when it brings economic benefits. This can meet electricity demand while taking into account economic efficiency, improving the charging and discharging control efficiency of energy storage equipment.

[0100] Building upon the above embodiments, there is also a step of determining the start-up and stop times of the target equipment group. Specifically, this includes: after determining the target equipment group for each time period, it is necessary to further determine the specific start-up and stop times of each energy storage device within the group to formulate a detailed charging and discharging plan. Based on the real-time electricity price for each time period and the output power parameters of each energy storage device within the target equipment group, the economic benefit of that device in that time period is calculated. Then, the start-up priority order of each device is determined according to its economic benefit, with higher-benefit devices starting first; when the available equipment is exhausted, devices with lower economic benefits stop working. The specific start-up and stop times of each energy storage device in each electricity consumption period are determined according to priority, ensuring that the total output power of the target equipment group meets the output power demand for the electricity consumption period. This allows us to obtain the specific operating time of each device in this period. This arrangement is to achieve economic optimization within the target device group. Based on the performance parameters of different devices and real-time electricity prices, devices with high economic benefits are selected to participate in charging and discharging first, and start-up and shutdown are arranged reasonably to maximize the matching benefits between equipment and electricity prices. By determining the working time of each energy storage device, economic optimization within the group is achieved, so that the overall charging and discharging plan can further improve economic efficiency while meeting electricity demand.

[0101] Reference Figure 2 This application provides a charging and discharging control system based on an EMS energy storage device. The system includes: a data acquisition module, a device group division module, a device group matching module, and a device power supply module, wherein:

[0102] The data acquisition module is used to acquire the power consumption plan of the external power grid and the battery data of multiple EMS energy storage devices; based on the power consumption plan, it determines the expected power consumption and real-time electricity price for each power consumption period;

[0103] The device grouping module is used to divide each EMS energy storage device into a device group to be charged, a device group to be discharged, and a standby device group based on the battery capacity, battery output power, and conversion efficiency in each battery data.

[0104] The equipment group matching module is used to match at least one of the following as the target equipment group: the equipment group to be charged, the equipment group to be discharged, and the standby equipment group, based on the expected power consumption during each power consumption period, and to determine the energy consumption cost of the target equipment group based on the real-time electricity price.

[0105] The equipment power supply module is used to control the target equipment group to supply power to the external power grid if the energy consumption cost of each power consumption period is less than the preset energy consumption cost.

[0106] Based on the above embodiments, the data acquisition module is also used to determine the peak power consumption cycle in the power consumption plan and divide the peak power consumption cycle into a preset number of power consumption periods; acquire the load devices and the load power corresponding to the load devices in each power consumption period; and determine the expected power consumption of each power consumption period based on the load power of each load device.

[0107] Based on the above embodiments, the device grouping module is further configured to determine the energy efficiency score of each EMS energy storage device according to the battery capacity, battery output power, and conversion efficiency in each battery data; classify the EMS energy storage devices with an energy efficiency score greater than or equal to a preset energy efficiency score and a battery capacity greater than or equal to a preset capacity into a device group to be discharged; classify the EMS energy storage devices with an energy efficiency score greater than or equal to a preset energy efficiency score and a battery capacity less than a preset capacity into a device group to be charged; and classify the EMS energy storage devices with an energy efficiency score less than a preset energy efficiency score into a standby device group.

[0108] Based on the above embodiments, the device grouping module is further used to substitute the battery capacity, battery output power, and conversion efficiency from each battery data into a preset formula to obtain the energy efficiency score of each EMS energy storage device; wherein, the preset formula is:

[0109]

[0110] In the formula, K i α represents the energy efficiency score of the i-th EMS energy storage device. ti δ represents the electricity price impact factor for the i-th EMS energy storage device at time t. ti P represents the power consumption impact factor of the i-th EMS energy storage device at time t. ti μ represents the battery output power of the i-th EMS energy storage device at time t. ti E represents the conversion efficiency of the i-th EMS energy storage device at time t. min，ti E represents the minimum battery capacity of the i-th EMS energy storage device at time t. max，ti H represents the maximum battery capacity of the i-th EMS energy storage device at time t. i E represents the health coefficient of the i-th EMS energy storage device. ti β represents the battery capacity of the i-th EMS energy storage device at time t. i This represents the depth of discharge coefficient of the i-th EMS energy storage device.

[0111] Based on the above embodiments, the device group matching module is further configured to determine the power difference for each power consumption period according to the expected power consumption and the preset standard power consumption; for each power consumption period, if the power difference is greater than or equal to a preset first power difference, the device group to be discharged is designated as the target device group; for each power consumption period, if the power difference is less than the preset first power difference and greater than or equal to a preset second power difference, the device to be charged and the standby device group are designated as the target device group; for each power consumption period, if the power difference is less than the preset second power difference, the device group to be charged is designated as the target device group, and the preset first current difference is greater than the preset second power difference.

[0112] Based on the above embodiments, the equipment group matching module is also used to obtain the total output power and power consumption duration of the target equipment group corresponding to each power consumption period; and to calculate the energy consumption cost of each target equipment group based on the total output power and power consumption duration of each target equipment group.

[0113] Based on the above embodiments, the equipment power supply module is also used to reduce the total output power of the target equipment group corresponding to the target power consumption period until the energy consumption cost is less than the preset energy consumption cost if there is a target power consumption period in each power consumption period with an energy consumption cost greater than or equal to the preset energy consumption cost.

[0114] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0115] This application also discloses an electronic device. (See reference...) Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0116] The communication bus 302 is used to enable communication between these components.

[0117] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0118] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0119] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface graphics, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 301.

[0120] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a charging and discharging control method based on an EMS energy storage device.

[0121] exist Figure 3In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and acquire user input data; while the processor 301 can be used to call an application program stored in the memory 305 for a charging and discharging control method based on an EMS energy storage device. When executed by one or more processors 301, the electronic device 300 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0122] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0123] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0124] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0125] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0126] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0127] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will readily conceive of those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0128] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only.

Claims

1. A charging and discharging control method based on an EMS energy storage device, characterized in that, include: Obtain the power consumption plan of the external power grid and battery data from multiple EMS energy storage devices; Based on the electricity consumption plan, determine the expected electricity consumption and real-time electricity price for each electricity consumption period; Based on the battery capacity, battery output power and conversion efficiency in the battery data, the EMS energy storage devices are divided into a charging device group, a discharging device group and a standby device group. During each of the aforementioned electricity consumption periods, based on the expected electricity consumption, at least one of the following groups—the group of devices to be charged, the group of devices to be discharged, and the group of devices in standby—is matched as a target device group, and the energy consumption cost of the target device group is determined based on the real-time electricity price. If the energy consumption cost of each of the aforementioned power consumption periods is less than the preset energy consumption cost, then the target equipment group of each of the aforementioned power consumption periods is controlled to supply power to the external power grid; Based on the battery capacity, battery output power, and conversion efficiency in the battery data, the EMS energy storage devices are divided into a group of devices to be charged, a group of devices to be discharged, and a group of devices in standby mode, including: Based on the battery capacity, battery output power, and conversion efficiency in the battery data, the energy efficiency score of each EMS energy storage device is determined. The EMS energy storage devices whose energy efficiency score is greater than or equal to the preset energy efficiency score and whose battery capacity is greater than or equal to the preset capacity are classified as the devices to be discharged. The EMS energy storage devices whose energy efficiency score is greater than or equal to the preset energy efficiency score and whose battery capacity is less than the preset capacity are classified as the devices to be charged. The EMS energy storage devices with energy efficiency scores lower than the preset energy efficiency scores are classified into the standby device group; The step of determining the energy efficiency score of each EMS energy storage device based on the battery capacity, battery output power, and conversion efficiency in the battery data includes: Substitute the battery capacity, battery output power and conversion efficiency from the battery data into a preset formula to obtain the energy efficiency score of each EMS energy storage device. The preset formula is as follows: In the formula, K i α represents the energy efficiency score of the i-th EMS energy storage device. ti δ represents the electricity price impact factor for the i-th EMS energy storage device at time t. ti P represents the power consumption impact factor of the i-th EMS energy storage device at time t. ti μ represents the battery output power of the i-th EMS energy storage device at time t. ti E represents the conversion efficiency of the i-th EMS energy storage device at time t. min，ti E represents the minimum battery capacity of the i-th EMS energy storage device at time t. max，ti H represents the maximum battery capacity of the i-th EMS energy storage device at time t. i E represents the health coefficient of the i-th EMS energy storage device. ti β represents the battery capacity of the i-th EMS energy storage device at time t. i This represents the depth of discharge coefficient of the i-th EMS energy storage device.

2. The charging and discharging control method based on EMS energy storage device according to claim 1, characterized in that, The step of determining the expected electricity consumption for each time period according to the electricity consumption plan includes: Determine the peak electricity consumption cycle in the electricity consumption plan, and divide the peak electricity consumption cycle into a preset number of electricity consumption periods; obtain the load devices and the corresponding load power of each electricity consumption period; Based on the load power of each of the aforementioned load devices, the expected power consumption for each of the aforementioned power consumption periods is determined.

3. The charging and discharging control method based on EMS energy storage device according to claim 1, characterized in that, The step of matching at least one of the following groups as a target device group—the group of devices to be charged, the group of devices to be discharged, and the group of devices in each of the aforementioned electricity consumption periods—based on the expected electricity consumption includes: The power consumption difference for each of the aforementioned estimated power consumption periods is determined based on the estimated power consumption and the preset standard power consumption. For each of the aforementioned power consumption periods, if the power difference is greater than or equal to a preset first power difference, then the group of devices to be discharged is designated as the target group of devices. For each of the aforementioned power consumption periods, if the power difference is less than a preset first power difference and greater than or equal to a preset second power difference, then the device to be charged and the standby device group are designated as the target device group. For each of the aforementioned power consumption periods, if the power difference is less than a preset second power difference, then the group of devices to be charged is designated as the target group of devices, and the preset first power difference is greater than the preset second power difference.

4. The charging and discharging control method based on EMS energy storage device according to claim 1, characterized in that, Determining the energy consumption cost of the target equipment group based on the real-time electricity price includes: Obtain the total output power and power consumption duration of the target equipment group corresponding to each of the aforementioned power consumption periods; Calculate the energy consumption cost of each target equipment group based on the total output power and power consumption duration of each target equipment group.

5. The charging and discharging control method based on an EMS energy storage device according to claim 4, characterized in that, After determining the energy consumption cost of the target equipment group based on the real-time electricity price, the method further includes: If there is a target power consumption period in each of the power consumption periods where the energy consumption cost is greater than or equal to the preset energy consumption cost, then the total output power of the target equipment group corresponding to the target power consumption period is reduced until the energy consumption cost is less than the preset energy consumption cost.

6. A charging and discharging control system based on an EMS energy storage device, characterized in that, The system includes: a data acquisition module, used to acquire the power consumption plan of the external power grid and battery data of multiple EMS energy storage devices; and to determine the expected power consumption and real-time electricity price for each power consumption period based on the power consumption plan; The device grouping module is used to divide each EMS energy storage device into a device group to be charged, a device group to be discharged, and a standby device group based on the battery power, battery output power, and conversion efficiency in the battery data of each device. The device group matching module is used to match at least one of the device group to be charged, the device group to be discharged, and the standby device group as a target device group during each of the power consumption periods, based on the expected power consumption, and to determine the energy consumption cost of the target device group based on the real-time electricity price. The equipment power supply module is used to control the target equipment group in each of the power consumption periods to supply power to the external power grid if the energy consumption cost in each of the power consumption periods is less than the preset energy consumption cost. Based on the battery capacity, battery output power, and conversion efficiency in the battery data, the EMS energy storage devices are divided into a group of devices to be charged, a group of devices to be discharged, and a group of devices in standby mode, including: Based on the battery capacity, battery output power, and conversion efficiency in the battery data, the energy efficiency score of each EMS energy storage device is determined. The EMS energy storage devices whose energy efficiency score is greater than or equal to the preset energy efficiency score and whose battery capacity is greater than or equal to the preset capacity are classified as the devices to be discharged. The EMS energy storage devices whose energy efficiency score is greater than or equal to the preset energy efficiency score and whose battery capacity is less than the preset capacity are classified as the devices to be charged. The EMS energy storage devices with energy efficiency scores lower than the preset energy efficiency scores are classified into the standby device group; The step of determining the energy efficiency score of each EMS energy storage device based on the battery capacity, battery output power, and conversion efficiency in the battery data includes: Substitute the battery capacity, battery output power and conversion efficiency from the battery data into a preset formula to obtain the energy efficiency score of each EMS energy storage device. The preset formula is as follows: In the formula, K i α represents the energy efficiency score of the i-th EMS energy storage device. ti δ represents the electricity price impact factor for the i-th EMS energy storage device at time t. ti P represents the power consumption impact factor of the i-th EMS energy storage device at time t. ti μ represents the battery output power of the i-th EMS energy storage device at time t. ti E represents the conversion efficiency of the i-th EMS energy storage device at time t. min，ti E represents the minimum battery capacity of the i-th EMS energy storage device at time t. max，ti H represents the maximum battery capacity of the i-th EMS energy storage device at time t. i E represents the health coefficient of the i-th EMS energy storage device. ti β represents the battery capacity of the i-th EMS energy storage device at time t. i This represents the depth of discharge coefficient of the i-th EMS energy storage device.

7. An electronic device, characterized in that, The device includes a processor, a memory, a user interface, and a network interface. The memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to enable the electronic device to perform the charging and discharging control method based on an EMS energy storage device as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the charging and discharging control method based on an EMS energy storage device as described in any one of claims 1-5.

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