Storage and charging and discharging energy control method, system and mobile storage and charging and discharging device

Abstract

The present application is applicable to the field of storage, charging and discharging control technology, and in particular, to a storage, charging and discharging energy control method, system and mobile storage, charging and discharging device. The storage, charging and discharging energy control method is applied to the mobile storage, charging and discharging device. The storage, charging and discharging energy control method includes: obtaining energy storage information; in a multi-task scenario, responding to the energy regulation operation input by the user, determining the focus demand window according to the current power grid status, and determining the power grid power demand corresponding to the focus demand window as the focus demand; analyzing according to the energy storage information and the focus demand, and obtaining the guaranteed supply energy of the focus demand. The method can provide stable and reliable energy support for important tasks, reasonable energy allocation and determination of guaranteed supply energy, which helps to reduce the risks caused by poor energy management, thereby improving the reliability and stability of energy control.

Description

Technical Field

[0001] The present application belongs to the field of storage, charging and discharging control technology, and in particular, relates to a storage, charging and discharging energy control method, system and mobile storage, charging and discharging device. Background Art

[0002] With the diversification of energy demand and the development of distributed energy systems, mobile storage and charging devices are playing an increasingly important role in the field of energy supply. Such devices have mobility and flexible storage and charging functions, and can provide energy support for various loads in different scenarios, effectively alleviating the contradiction between energy supply and demand in local areas. In the traditional energy supply model, fixed energy supply facilities are often difficult to meet some temporary, sudden or mobile energy needs. For example, at large outdoor events, such as music festivals and sports events, a large number of electrical equipment need to obtain a stable power supply in a short time; in emergency rescue scenarios, such as earthquakes, fires and other disasters, rescue equipment and temporary medical facilities urgently need reliable energy guarantees; in engineering construction in remote areas, the power demand of construction equipment also requires flexible energy solutions. The emergence of mobile storage and charging devices provides an effective way to solve these problems.

[0003] However, when the mobile storage and discharging device performs multiple tasks at the same time, and the remaining energy of the current mobile storage and discharging device cannot meet the stable supply of each task at the same time, the supply strategy cannot be adjusted in real time, thereby failing to achieve optimal energy utilization. Summary of the invention

[0004] The embodiments of the present application provide a storage and charging and discharging energy control method, system and mobile storage and charging and discharging device, which can solve the problem that the traditional energy supply mode cannot adjust the supply strategy in real time when performing multiple tasks at the same time, thereby failing to achieve optimal energy utilization.

[0005] In a first aspect, an embodiment of the present application provides a storage and charging and discharging energy control method, which is applied to a mobile storage and discharging device. The storage and charging and discharging energy control method includes:

[0006] Acquiring energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging storage device;

[0007] In a multi-task scenario, in response to an energy regulation operation input by a user, a focus demand window is determined according to the current grid status, and the grid power demand corresponding to the focus demand window is determined as the focus demand; wherein the energy regulation operation includes the user regulating the energy output rate and output time of the current task window, and the current grid status includes the current geographical location of the mobile storage and charging device and the current electricity price;

[0008] An analysis is performed based on the energy storage information and the focus demand to obtain a guaranteed supply energy for the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile charging and discharging device is expected to supply to the focus demand window.

[0009] The above technical solutions in the embodiments of the present application have at least the following technical effects:

[0010] The storage and charging and discharging energy control method provided by the present application obtains the current remaining energy storage information for reflecting the mobile storage and discharging device; in a multi-task scenario, in response to the energy control operation input by the user including the energy output rate and output time of the user's control of the current task window, the focus demand window is determined according to the current grid conditions including the geographical location of the current mobile storage and discharging device and the current electricity price, and the task that needs to prioritize energy supply is identified in the multi-task scenario according to the user's energy control operation and the actual situation of the grid; the grid power demand corresponding to the focus demand window is determined as the focus demand; then, according to the energy storage information and the focus demand, the focus demand is analyzed to obtain the focus demand for reflecting the total energy that the mobile storage and discharging device is expected to supply to the focus demand window. The method adjusts the capacity supply in real time by considering the real-time changes of multi-dimensional factors, and can provide stable and reliable energy support for important tasks by determining the guaranteed supply energy of the focus demand. Reasonable energy allocation and determination of guaranteed supply energy help reduce the risks caused by poor energy management, thereby improving the reliability and stability of energy control.

[0011] In a possible implementation of the first aspect, in a multi-task scenario, in response to an energy regulation operation input by a user, determining a focus demand window according to a current power grid status includes:

[0012] In a multi-tasking scenario, in response to an energy regulation operation input by a user, analyzing the energy regulation operation to obtain a plurality of power requirements;

[0013] Analyze the multi-task scenario and the current power grid status to obtain a task priority sequence;

[0014] A focus demand window is determined based on an analysis of a plurality of the power demands, the task priority sequence and the power price.

[0015] In a possible implementation manner of the first aspect, analyzing the energy regulation operation to obtain multiple power requirements includes:

[0016] Analyze the output time of the energy control operation to obtain multiple time periods; wherein the end time of each time period corresponds to the end time of each task window;

[0017] Analyze the time periods to obtain a minimum time period; wherein the minimum time period is used to reflect the time period corresponding to the minimum time of multiple time periods in the same time trajectory;

[0018] The energy output rate of the energy control operation of multiple task windows and the minimum time period are analyzed to obtain corresponding multiple power requirements; wherein the power requirement is used to reflect the output power of the task window in the minimum time period.

[0019] In a possible implementation manner of the first aspect, analyzing according to the multi-task scenario and the current power grid status to obtain a task priority sequence includes:

[0020] Analyzing the importance value of each of the task windows based on the multi-task scenario; wherein the importance value is used to reflect the degree of urgency of the task window;

[0021] Analyze the current power grid status to obtain the impact value of each task window; wherein the impact value is used to reflect the impact degree of the task window on the power grid;

[0022] An analysis is performed based on the importance value and the impact value to obtain a task priority sequence.

[0023] In a possible implementation manner of the first aspect, analyzing the importance value of each task window based on the multi-task scenario includes:

[0024] Analyze the multi-task scenario to obtain a task type; wherein the task type is used to reflect the demand type of the task window;

[0025] Analyze according to the task type and obtain important predictions;

[0026] Analyze the process completion of the task window to obtain an important coefficient;

[0027] An importance value of each of the task windows is obtained based on the importance coefficient and the importance estimate.

[0028] In a possible implementation manner of the first aspect, analyzing according to the current power grid status to obtain the impact value of each task window includes:

[0029] Analyze the geographical location of the current power grid status to obtain load information; wherein the load information is used to reflect the load level of the power grid at the geographical location;

[0030] An analysis is performed based on the load information and the task type to obtain an impact value of each task window.

[0031] In a possible implementation manner of the first aspect, the analyzing according to the importance value and the impact value to obtain the task priority sequence includes:

[0032] Analyze the multiple impact values ​​to obtain multiple impact weights;

[0033] The importance values ​​corresponding to the task windows are weighted and sorted based on the multiple impact weights to obtain a task priority sequence.

[0034] In a possible implementation manner of the first aspect, analyzing according to the plurality of power requirements, the task priority sequence, and the electricity price to determine a focus demand window includes:

[0035] Analyzing the electricity price to obtain a demand window priority sequence; wherein the demand window priority sequence is used to reflect the degree of influence of the electricity price on the task window;

[0036] Analyze the sequence position corresponding to the priority sequence of the demand window to obtain the first coefficient of each task window;

[0037] Analyze the values ​​corresponding to the task priority sequence to obtain a second coefficient;

[0038] Adjusting the second coefficient based on the first coefficient to obtain an optimal priority sequence;

[0039] The first sequence bit in the optimal priority sequence is matched to the demand windows corresponding to the multiple power demands to obtain a focus demand window.

[0040] In a possible implementation manner of the first aspect, the analyzing according to the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand includes:

[0041] Calculate the energy accumulation of the focus demand in the minimum time period to obtain the rated demand energy;

[0042] Calculating the ratio of the total output time of the focus demand to the minimum time period to obtain a time ratio;

[0043] Analyze the time ratio and the energy storage information to obtain an estimated required energy; wherein the estimated required energy is used to reflect the energy required by the focus demand after the minimum time period;

[0044] The guaranteed supply energy is obtained by accumulating the rated demand energy and the estimated demand energy.

[0045] In a second aspect, an embodiment of the present application provides a storage and charging and discharging energy control system, which is applied to a mobile storage and discharging device, and the system includes:

[0046] An acquisition module, used to acquire energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging storage device;

[0047] An acquisition analysis module is used to determine a focus demand window according to the current grid status in response to an energy regulation operation input by a user in a multi-task scenario, and determine the grid power demand corresponding to the focus demand window as the focus demand; wherein the energy regulation operation includes the user regulating the energy output rate and output time of the current task window, and the current grid status includes the geographical location of the current mobile storage and charging device and the current electricity price;

[0048] An analysis module is used to analyze the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile storage and charging device is expected to supply to the focus demand window.

[0049] In a third aspect, an embodiment of the present application provides a mobile storage and discharge device, comprising a storage and discharge device and a control device, wherein the control device is electrically connected to the storage and discharge device, and the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods described in the first aspect when executing the computer program.

[0050] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0051] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run on a mobile storage and discharge device, the mobile storage and discharge device executes the storage and discharge energy control method described in any one of the first aspects above.

[0052] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0054] Figure 1 It is a flow chart of the energy storage, charging and discharging control method provided in the embodiment of the present application;

[0055] Figure 2 It is a schematic diagram of the implementation flow of step S200 in the energy storage, charging and discharging control method provided in an embodiment of the present application;

[0056] Figure 3 It is a structural schematic diagram of the energy storage and charging and discharging control system provided in an embodiment of the present application;

[0057] Figure 4 It is a structural schematic diagram of a control device for a mobile charging and discharging device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0059] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0060] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0061] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0062] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0063] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0064] With the diversification of energy demand and the development of distributed energy systems, mobile storage and charging devices are playing an increasingly important role in the field of energy supply. Such devices have mobility and flexible storage and charging functions, and can provide energy support for various loads in different scenarios, effectively alleviating the contradiction between energy supply and demand in local areas. In the traditional energy supply model, fixed energy supply facilities are often difficult to meet some temporary, sudden or mobile energy needs. For example, at large outdoor events, such as music festivals and sports events, a large number of electrical equipment need to obtain a stable power supply in a short time; in emergency rescue scenarios, such as earthquakes, fires and other disasters, rescue equipment and temporary medical facilities urgently need reliable energy guarantees; in engineering construction in remote areas, the power demand of construction equipment also requires flexible energy solutions. The emergence of mobile storage and charging devices provides an effective way to solve these problems.

[0065] However, when the mobile storage and discharging device performs multiple tasks at the same time, and the remaining energy of the current mobile storage and discharging device cannot meet the stable supply of each task at the same time, the supply strategy cannot be adjusted in real time, thereby failing to achieve optimal energy utilization.

[0066] To solve the above problems, the embodiment of the present application provides a storage and charging control method, system and mobile storage and charging device. In this method, by obtaining the current remaining energy storage information for reflecting the mobile storage and charging device; in a multi-task scenario, in response to the energy control operation input by the user including the energy output rate and output time of the user's control of the current task window, the focus demand window is determined according to the current grid conditions including the geographical location of the current mobile storage and charging device and the current electricity price, and the task that needs to prioritize energy supply can be identified in a multi-task scenario according to the user's energy control operation and the actual situation of the grid; the grid power demand corresponding to the focus demand window is determined as the focus demand; then, according to the energy storage information and the focus demand, the focus demand is analyzed to obtain the total energy supply energy that the mobile storage and charging device is expected to need to supply to the focus demand window. The method adjusts the capacity supply in real time by considering the real-time changes of multi-dimensional factors, and by determining the guaranteed supply energy of the focus demand, it can provide stable and reliable energy support for important tasks, and reasonable energy allocation and determination of guaranteed supply energy help reduce the risks caused by poor energy management, thereby improving the reliability and stability of energy control.

[0067] The storage and discharge energy control method provided in the embodiment of the present application can be applied to a mobile storage and discharge device. In this case, the mobile storage and discharge device is the execution subject of the storage and discharge energy control method provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of the mobile storage and discharge device.

[0068] For example, a mobile storage and charging device may include a storage and charging device and a control device, and the control device is electrically connected to the storage and charging device. The storage and charging device is used to store electric energy and output electric energy. The storage and charging device includes an energy storage device, multiple electric energy release devices, an energy control module, and a mobile module. The energy storage device is used to input and store external electric energy. For example, the energy storage device may include a combination of a battery and a bidirectional energy storage converter. During the charging process, the bidirectional energy storage converter can convert the AC power of the power grid into DC power to charge the battery; during the discharge process, it can convert the DC power of the battery into AC power and output it to the power grid or an external load. By accurately controlling the working state of the bidirectional energy storage converter, efficient management and optimization of the battery charging and discharging process can be achieved. The input end of the electric energy release device is connected to the output end of the energy storage device to transmit the electric energy in the energy storage device to the outside. For example, the electric energy release device may include a charging pile, a lighting lamp, etc., but is not limited to this. The energy control module is used for users to control the task time and energy output rate of the task window. For example, the energy control can be controlled by a key panel for users to control, or it can be displayed and controlled through a display screen, etc., but not limited to this. The mobile module is used to carry and move the energy storage device, multiple electric energy release devices and the energy control module. For example, the mobile module can be a wheeled chassis, a crawler chassis, etc., but not limited to this. The control device monitors and controls the entire storage, charging and discharging process.

[0069] For example, the control device can be a terminal device such as a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV, a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, an Internet of Things terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a TV set top box (STB), a customer premises equipment (CPE) and / or other devices used for communicating on a wireless system and a next-generation communication system, such as a mobile terminal in a 5G network or a mobile terminal in a future evolved public land mobile network (PLMN).

[0070] In order to better understand the energy storage, charging and discharging control method provided in the embodiment of the present application, the specific implementation process of the energy storage, charging and discharging control method provided in the embodiment of the present application is exemplarily introduced below.

[0071] Figure 1 and Figure 2 A schematic flow chart of a storage, charging and discharging energy control method provided in an embodiment of the present application is shown. The storage, charging and discharging energy control method is applied to a mobile storage, charging and discharging device. When the mobile storage, charging and discharging device performs multiple tasks at the same time and receives an energy regulation operation from a user, the storage, charging and discharging energy control method includes:

[0072] S100, obtaining energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging storage device.

[0073] It can be understood that when a mobile storage and charging device performs multiple tasks and receives user energy control operations, its remaining energy is an important basic data for subsequent energy distribution and control. By obtaining this information, we can clearly know the total amount of energy currently available for distribution of the mobile storage and charging device, so as to make reasonable plans according to different task requirements and grid conditions in subsequent steps. For example, if the device has less remaining energy, it is necessary to consider the priority and actual needs of each task more carefully when determining the focus demand window and allocating energy, so as to avoid the inability to complete the task normally or cause excessive pressure on the grid due to insufficient energy. Energy storage information can be obtained through the built-in power monitoring module of the storage and charging device, which monitors the battery power status in real time.

[0074] S200, in a multi-tasking scenario, in response to an energy control operation input by a user, a focus demand window is determined according to the current grid status, and the grid power demand corresponding to the focus demand window is determined as the focus demand; wherein the energy control operation includes the user controlling the energy output rate and output time of the current task window, and the current grid status includes the geographical location of the current mobile storage and charging device and the current electricity price.

[0075] It can be understood that the multi-task scenario refers to the simultaneous existence of multiple energy supply tasks of different types or for different objects in the storage and charging device. For example, at a construction site, the storage and charging device must provide charging services for electric mechanical equipment such as cranes and concrete mixers used for construction on the one hand to ensure the progress of construction; on the other hand, it must also supply power to various electrical equipment in the office area temporarily built on the construction site to meet the power demand of the office, and so on. The user's energy regulation operation directly reflects his expectations for energy allocation for different tasks, and the current power grid conditions affect the power supply capacity and cost of the device in different geographical locations. Taking these factors into consideration to determine the focus demand window can optimize the interaction between the device and the power grid to the greatest extent while meeting user needs, and achieve efficient use of energy and cost control. For example, in areas and time periods with higher electricity prices, priority is given to meeting important and urgent task requirements, while adjusting the energy output of other tasks to reduce electricity costs; in areas with lower grid loads, the energy output can be appropriately increased to improve the efficiency of the device. Geographical location information can be obtained through the GPS module built into the storage and charging device, and electricity price information can be obtained in real time through the grid data interaction interface.

[0076] In a possible implementation, in step S200, in response to an energy control operation input by a user, in a multi-task scenario, a focus demand window is determined according to a current grid status, including:

[0077] S210 , in response to an energy regulation operation input by a user, analyzing the energy regulation operation in a multi-tasking scenario to obtain a plurality of power requirements.

[0078] It can be understood that different tasks will generate different power requirements under the energy output rate and time set by the user. By analyzing the energy control operation, these requirements are divided into intervals, which helps to understand the power demand range of each task more carefully and provide more accurate data support for the subsequent determination of the focus demand window. For example, some tasks may require higher power output in a short time, while other tasks require relatively stable and lower power. Dividing the power demand can clearly show these differences. Exemplarily, the working time of the storage and charging device can be segmented and refined through energy control operations to obtain the time period with the shortest output time among multiple tasks, and the task time of each task in the time period is obtained based on the time period, and then multiple power requirements are obtained based on the energy output rate of each task window; the energy control operation and the task window can also be input into the learning model, and the learning model outputs multiple power requirements, etc., but not limited to this. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes energy control operations, task windows and power requirements.

[0079] In a possible implementation, in step S210, the energy regulation operation is analyzed to obtain multiple power requirements, including:

[0080] S211, analyzing the output time of the energy control operation to obtain multiple time periods; wherein the end time of each time period corresponds to the end time of each task window.

[0081] It can be understood that the output time of the task is one of the important factors affecting the power demand. By dividing the output time of the energy control operation according to the end time of the task window, the time range of each task can be clearly determined. If the output time is not set for a task window, for example, the lighting device of the storage and charging device usually does not set the lighting time when in use, it will be defaulted to always output, and its time range is infinite.

[0082] S212, analyzing according to the time periods to obtain a minimum time period; wherein the minimum time period is used to reflect the time period corresponding to the minimum time of multiple time periods in the same time trajectory.

[0083] It can be understood that the minimum time period is the common time part of all task time periods. Analyzing the power demand within this time period can more accurately evaluate the demand of each task in the same time period and avoid analysis errors caused by time period differences. For example, if multiple tasks run in time periods of different lengths, taking the minimum time period as the benchmark can more intuitively compare the differences in their power demands in the same time period. This can be done by comparing and calculating the start and end times of multiple time periods to find the shortest time period among all overlapping time periods, which is the minimum time period. For example, the current remaining task time of task A is 1.5 hours, task B is the task window that has just executed the work, and its task time is 3 hours, the current remaining task time of task C is 2 hours, and the current remaining task time of task D is infinite, then the minimum time period is from now to 1.5 hours.

[0084] S213, analyzing the energy output rates and minimum time periods of the energy control operations of the multiple task windows to obtain corresponding multiple power requirements; wherein the power requirement is used to reflect the output power of the task window in the minimum time period.

[0085] It can be understood that power demand = energy output rate × minimum time period.

[0086] With this setting, through the gradual analysis of the energy control operation, from the output time to the minimum time period, and then to the task time interval and power demand, a complete and detailed analysis process is formed, which can more accurately obtain the power demand of each task window in a multi-task scenario, and provide a solid data foundation for the subsequent determination of the focus demand window according to the power grid status and task priority, making the entire energy control process more scientific and reasonable.

[0087] S220, analyzing the multi-task scenario and the current power grid status to obtain a task priority sequence.

[0088] It can be understood that the task priority sequence is used to indicate the priority order of each task window within the current minimum time period, and is used to reflect the importance of each task window within the current minimum time period. The task priority sequence is arranged from high priority to low priority. For example, for some tasks involving emergency rescue or critical production processes, their importance values ​​will be relatively high and should be guaranteed first. This can be determined by comprehensively evaluating multiple factors such as the type of task, the importance of the task to the system or user, and the timeliness of the task. Exemplarily, the urgency of each task window can be obtained through multi-task scenario analysis, and then the degree of influence of each task window on the power grid can be obtained according to the current power grid status, and then the importance of each task window can be evaluated based on the urgency and influence, and the importance of each task window can be sorted to obtain a task priority sequence; it can also be input into a learning model by multi-task scenarios and current power grid conditions, and the learning model outputs the corresponding task priority sequence, etc., but is not limited to this.

[0089] In a possible implementation, in step S220, an analysis is performed based on the multi-task scenario and the current power grid status to obtain a task priority sequence, including:

[0090] S221, analyzing the importance value of each task window based on a multi-task scenario; wherein the importance value is used to reflect the degree of urgency of the task window.

[0091] It can be understood that each task window has its specific degree of emergency demand in a multi-task scenario. For example, for some tasks involving emergency rescue or key production processes, their importance values ​​will be relatively high and should be prioritized. Exemplarily, the demand type of each task window can be analyzed through a multi-task window, and then the initial importance can be obtained based on the demand type, and then the initial importance can be adjusted based on the current task progress of each task window to obtain the importance value; it can also be done by inputting the multi-task scenario into a learning model, and the learning model outputs the corresponding importance value, etc., but is not limited to this.

[0092] In a possible implementation, in step S221, analyzing the importance value of each task window based on a multi-task scenario includes:

[0093] S2211, analyzing based on the multi-task scenario to obtain a task type; wherein the task type is used to reflect the demand type of the task window.

[0094] It can be understood that, illustratively, different task windows correspond to a requirement type. Exemplarily, the corresponding task types can be obtained by matching the multi-task scenarios in the task database; the task types can also be determined by analyzing and classifying the functions, goals, and application scenarios of the tasks, that is, the multi-task scenarios are input into the learning model, and the learning model outputs the corresponding task types, etc., but it is not limited thereto.

[0095] S2212, analyze according to the task type and obtain important estimated values.

[0096] It can be understood that different types of tasks usually have different importance tendencies. Determining the importance pre-value according to the task type can provide an initial importance reference value for each task. The importance pre-value is based on a large amount of empirical data and the analysis and summary of different types of tasks. It reflects the importance of the task type under normal circumstances. For example, for some key production equipment charging tasks, the importance pre-value may be relatively high; while for some non-critical standby equipment charging tasks, the importance pre-value is relatively low. This can be achieved by establishing a database of the corresponding relationship between task types and important pre-values, and searching for the corresponding important pre-value in the database according to the determined task types.

[0097] S2213, analyzing the process completion degree of the task window to obtain an important coefficient.

[0098] It can be understood that the process completion corresponding to different task windows corresponds to an importance coefficient. If a task is close to completion, it may become relatively important or relatively unimportant because it is close to completion, because completing this task can avoid the waste of previously invested resources or because the task is close to completion, it can be regarded as the current task window is close to completing the task. For example, at a construction site, a mobile storage and charging device supplies power to multiple construction equipment. One of the key cranes is performing an important hoisting operation, which has been completed by 90%. If the power supply is interrupted at this time, not only will the manpower, time and other resources previously invested be wasted, but the unfinished hoisting operation may also cause chaos at the construction site, affect the entire construction progress, and may even cause safety accidents. Therefore, for this kind of emergency repair task that is close to completion, as the process completion degree increases, it becomes relatively more important, and the importance coefficient will increase significantly. Or, when an electric car is charging using a mobile storage and charging device, the charging process of the car has reached 95%. Since the car is close to being fully charged, it can be regarded as the current task window is close to completing the charging task. Even if the charging is interrupted, the owner can meet certain travel needs and will not cause much trouble to him, so its importance coefficient will be lower.

[0099] For example, the task window and the process completion degree can be matched in the task database to obtain the corresponding important coefficient; the task window and the process completion degree can also be input into the learning model, and the learning model outputs the corresponding important coefficient, etc., but not limited to this. The task database refers to a database including the task window and the important coefficients corresponding to different process completion degrees. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining, the collected data is sorted, classified and archived, useful information and rules are extracted, and the relevant data is saved in the database to form a task database.

[0100] S2214, obtaining an importance value for each task window based on the importance coefficient and the importance estimate.

[0101] It can be understood that importance value = importance coefficient × importance expected value.

[0102] With this setting, through comprehensive analysis of multiple factors such as task type, important estimate, process completion, etc., the importance value of each task window is gradually determined, forming a relatively complete task importance evaluation system, which can more accurately reflect the degree of urgency of tasks in multi-task scenarios, and provide a reliable basis for the subsequent determination of task priority sequence, making the determination of task priority more scientific and reasonable.

[0103] S222, analyzing the current power grid status to obtain an impact value of each task window; wherein the impact value is used to reflect the impact degree of the task window on the power grid.

[0104] It can be understood that different tasks have different degrees of impact on the power grid during execution. Analyzing the impact value of each task window helps to fully consider the impact of the task on the stability and security of the power grid when determining the task priority. For example, some high-power tasks may cause a large load shock to the power grid, while some low-power and stable tasks have a smaller impact on the power grid. Exemplarily, the corresponding grid load state can be obtained by the geographical location of the current grid condition, and then the impact value corresponding to each task window can be obtained based on the grid load state combined with the type of task window; the current grid state and task window can also be input into the learning model, and the learning model outputs the corresponding impact value, and so on, but not limited to this.

[0105] In a possible implementation, in step S222, an analysis is performed based on the current power grid status to obtain the impact value of each task window, including:

[0106] S2221, analyzing the geographical location of the current power grid status to obtain load information; wherein the load information is used to reflect the load level of the power grid at the geographical location.

[0107] It is understandable that there are differences in the degree of grid load in different geographical locations. Understanding the grid load information of the current geographical location of the mobile storage and charging device is an important basis for evaluating the impact of the task on the grid. In areas with high grid load, performing high-power tasks may further increase the burden on the grid and even cause grid failures; while in areas with low grid load, the same task may have less impact on the grid. By obtaining load information, key data can be provided for the subsequent assessment of the impact value of the task. This can be achieved by exchanging data with the grid data center to obtain real-time grid load data for the geographical location of the device.

[0108] S2222: Analyze the load information and the task type to obtain the impact value of each task window.

[0109] It can be understood that combining load information and task types can more accurately assess the impact of tasks on the power grid. Different task types have different impacts on the power grid under different power grid load conditions. For example, when the power grid load is high, the impact of high-power charging tasks on the power grid will be much greater than that of low-power discharge tasks. By comprehensively considering these two factors, a reasonable impact value can be determined for each task window. The load information and task type can be input into the learning model, and the learning model outputs the corresponding impact value.

[0110] With this setting, the impact value is determined through a comprehensive analysis of the load information of the geographical location and the task type, which can fully consider the actual situation of the task and the power grid, and more accurately evaluate the impact of the task on the power grid, providing an important basis for subsequently determining the task priority sequence according to the importance value and impact value. The determination of the task priority not only considers the urgent needs of the task itself, but also takes into account the impact on the power grid, thereby improving the feasibility and stability of the entire energy control plan.

[0111] S223, analyzing according to the importance value and the impact value to obtain a task priority sequence.

[0112] Exemplarily, the corresponding weight coefficient can be obtained through the influence value, and the importance value can be weighted based on the weight coefficient to obtain the actual importance of each task window, and the actual importance of multiple task windows can be sorted to obtain a task priority sequence; the importance value and influence value of each task window can also be input into the learning model, and the learning model outputs the corresponding task priority sequence, and so on, but not limited to this.

[0113] With this setting, the task priority sequence is determined by analyzing the comprehensive importance value and impact value, which can minimize the adverse impact on the power grid while ensuring the execution of important tasks, thus achieving a balance between task execution and stable operation of the power grid.

[0114] In a possible implementation, in step S223, an analysis is performed based on the importance value and the impact value to obtain a task priority sequence, including:

[0115] S2231, analyzing the multiple impact values ​​to obtain multiple impact weights.

[0116] It can be understood that different influence values ​​correspond to an influence weight, and the larger the influence value, the larger the influence weight. Exemplarily, the corresponding influence weight can be matched in the task database by the proportion or difference of the influence value in all influence values, or the influence value can be directly matched in the task database to obtain the influence weight corresponding to the influence value, or multiple influence values ​​can be input into the learning model, and the learning model outputs the influence weight corresponding to each task window, etc., but it is not limited to this.

[0117] S2232, weighting and sorting the importance values ​​of the corresponding task windows based on multiple impact weights to obtain a task priority sequence.

[0118] It can be understood that after weighting and sorting the importance values ​​of the corresponding task windows by the impact weights, an importance sequence is obtained, and the task windows corresponding to the importance sequence are replaced to obtain a task priority sequence.

[0119] With this setting, through the comprehensive application of importance values ​​and impact weights, a comprehensive and scientific task priority determination mechanism is formed. Compared with determining priorities based solely on task importance values ​​or other single factors, this method is more in line with the actual needs of mobile storage and charging devices in multi-task scenarios. It can effectively reduce the adverse effects of task execution on the power grid while ensuring the execution of important tasks, achieve good coordinated operation between mobile storage and charging devices and the power grid, improve the stability and reliability of the entire energy regulation, optimize resource allocation, and improve overall energy control performance.

[0120] S230 , analyzing according to multiple power demands, task priority sequences, and electricity prices, and determining a focus demand window.

[0121] Exemplarily, the impact of each task window can be analyzed through electricity prices, and then the impact of each task window can be analyzed according to the task priority sequence. The actual importance of each task window can be analyzed by two impact levels, and the importance is sorted. The first sequence position of the corresponding task window sequence is determined as the focus demand window; it is also possible to input multiple power requirements, task priority sequences and electricity prices into a learning model, and the learning model outputs the corresponding focus demand window, and so on, but not limited to this.

[0122] In this way, multiple power requirements reflect the different energy demand scales of each task, the task priority sequence reflects the importance and urgency of the task, and the electricity price involves the cost factor of energy use. By analyzing these three key factors, we can comprehensively weigh the priority of different tasks in obtaining energy under the current situation, so as to accurately determine the focus demand window, making the process of determining the focus demand window more scientific and reasonable, and effectively balancing the relationship between task execution, cost control and energy utilization efficiency, and improving the operating efficiency and reliability of the entire system.

[0123] In a possible implementation, in step S230, analyzing multiple power requirements, task priority sequences, and power prices to determine a focus demand window includes:

[0124] S231, analyzing according to the electricity price to obtain a demand window priority sequence; wherein the demand window priority sequence is used to reflect the degree of influence of the electricity price on the task window.

[0125] It is understandable that the current electricity price may have different effects on the task window. For example, when the electricity price is low, some tasks with higher priority and larger power demand can be given priority; when the electricity price is high, the task arrangement is appropriately adjusted to give priority to important and urgent tasks with relatively small power demand. For example, the electricity price and the multi-task window can be input into the learning model, and the learning model outputs the corresponding demand window priority sequence.

[0126] S232, analyzing the sequence position corresponding to each task window in the demand window priority sequence to obtain a first coefficient of each task window.

[0127] It can be understood that different sequence positions in the demand window priority sequence correspond to a first coefficient. For example, a task window at the front of the sequence indicates that it has a greater advantage in priority execution when the electricity price is low, and the corresponding first coefficient will be relatively large; while the task window at the back of the sequence has a relatively small first coefficient. The corresponding first coefficient can be obtained by matching the sequence position corresponding to each task window in the task database, or the demand window priority sequence can be input into the learning model, and the learning model outputs the first coefficient of each task window, and so on, but it is not limited to this.

[0128] S233, analyzing the numerical value corresponding to each task window in the task priority sequence to obtain a second coefficient, wherein the numerical value is used to indicate a value obtained by weighting the importance value with the influence weight.

[0129] It can be understood that the numerical value corresponding to the task priority sequence refers to the value of the final importance obtained by each task window in the task priority sequence. Different numerical values ​​correspond to a second coefficient. The corresponding second coefficient can be obtained by matching the value of the final importance obtained by each task window in the task priority sequence in the task database, or the value of the final importance obtained by each task window in the task priority sequence can be input into the learning model, and the learning model outputs the second coefficient of each task window, etc., but is not limited to this.

[0130] S234, adjusting the second coefficient based on the first coefficient to obtain an optimal priority sequence.

[0131] It is understandable that the first coefficient may be added to the second coefficient, for example, by multiplication or addition, and the added results may be sorted again, and the sorting sequence of the task windows corresponding to the sorting results is the optimal priority sequence.

[0132] S235 , matching the first sequence bit in the optimal priority sequence with the demand windows corresponding to the multiple power demands to obtain a focus demand window.

[0133] It can be understood that the task window corresponding to the first sequence position has the highest comprehensive priority in the current situation, and matching it with the demand windows corresponding to multiple power demands is to find the task window that needs to be met with the highest priority among many task demands, that is, the focus demand window.

[0134] With this setting, comprehensive considerations are made from multiple dimensions such as electricity prices and task priorities, and the focus demand window is ultimately accurately determined, so that the mobile storage and charging devices can allocate energy resources more scientifically and reasonably in multi-task scenarios, balance costs and task requirements, and improve energy utilization efficiency and the overall operation of the system.

[0135] S300, analyzing the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile storage and charging device is expected to supply to the focus demand window.

[0136] It is understandable that if the energy storage information shows that the remaining energy of the device is limited, and the power demand of the focus demand task is large and lasts for a long time, then it is necessary to carefully calculate the guaranteed supply energy, which not only meets the key part of the focus demand task, but also ensures that the device can maintain basic operation or respond to other possible emergency tasks in the future. Exemplarily, the guaranteed supply energy of the focus demand can be obtained by calculating the required energy of the focus demand in the minimum time period, and then predicting the energy demand of the focus demand in the subsequent time period; the energy storage information and the focus demand can also be input into the learning model, and the learning model outputs the corresponding guaranteed supply energy, etc., but is not limited to this.

[0137] In a possible implementation, in step S300, analyzing the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand includes:

[0138] S310, calculating the energy accumulation of the focus demand in the minimum time period to obtain the rated demand energy.

[0139] It can be understood that rated energy requirement = energy output rate × minimum time period.

[0140] S320, calculating the ratio of the total output time of the focus demand to the minimum time period to obtain a time ratio.

[0141] It can be understood that time ratio = total output time ÷ minimum time period.

[0142] S330, analyzing the time ratio and the energy storage information to obtain an estimated energy demand; wherein the estimated energy demand is used to reflect the energy required after the focus demand has passed the minimum time period.

[0143] It can be understood that different time ratios correspond to different estimated energy requirements, and the time ratio also reflects the task progress of the focus demand after the minimum time period. The maximum energy required for the focus demand after the minimum time period can be obtained through the time ratio and energy storage information. This maximum energy refers to the energy required for the focus demand to remain as the focus demand after the minimum time period and until the end of the task. Then, according to the time ratio (the proportion of the task progress), an adjustment coefficient is obtained, and the maximum energy is adjusted by the adjustment coefficient, which is the estimated energy requirement. It is also possible to input the time ratio and energy storage information into the learning model, and the learning model outputs the corresponding estimated energy requirement, and so on, but not limited to this.

[0144] S340, based on the accumulation of rated demand energy and estimated demand energy, obtain guaranteed supply energy.

[0145] It can be understood that guaranteed supply energy = rated demand energy + estimated demand energy.

[0146] With this setting, when calculating the rated demand energy, the basic energy consumption of the focus demand in the minimum time period is clarified based on the product of the energy output rate and the minimum time period, providing a stable time scale and energy benchmark for subsequent calculations. The introduction of the time ratio further considers the relationship between the overall duration of the focus demand task and the minimum time period. It not only serves as an indicator to measure the progress of the task, but also provides a key parameter for calculating the expected demand energy. Different time ratios mean that the length of the remaining process of the task is different, which in turn affects the subsequent energy demand. The calculation of the expected demand energy is adjusted by the time ratio, so that the energy calculation is more in line with the actual execution of the task; finally, the rated demand energy and the expected demand energy are added to obtain the guaranteed supply energy, which fully covers the energy consumption of the focus demand in the minimum time period and the subsequent expected energy demand until the end of the task. This ensures that when the mobile storage and charging device provides energy for the focus demand, it can not only meet the energy supply at the current stage, but also reasonably plan the subsequent energy distribution, avoid insufficient or excessive energy supply, thereby improving the energy utilization efficiency of the device, ensuring the smooth execution of the task, and improving the stability and reliability of the entire energy control system.

[0147] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0148] Corresponding to the energy storage, charging and discharging control method described in the above embodiment, the embodiment of the present application also provides an energy storage, charging and discharging control system, and each module of the system can implement each step of the energy storage, charging and discharging control method. Figure 3A structural block diagram of the energy storage and discharging control system provided in an embodiment of the present application is shown. For ease of explanation, only the parts related to the embodiment of the present application are shown.

[0149] Reference Figure 3 , the energy storage and discharge control system includes:

[0150] The acquisition module is used to acquire energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging device.

[0151] An acquisition analysis module is used to respond to energy control operations input by the user in a multi-tasking scenario, determine a focus demand window according to the current grid conditions, and determine the grid power demand corresponding to the focus demand window as the focus demand; wherein the energy control operation includes the user controlling the energy output rate and output time of the current task window, and the current grid conditions include the geographical location of the current mobile storage and charging device and the current electricity price.

[0152] The analysis module is used to analyze the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile storage and charging device is expected to supply to the focus demand window.

[0153] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0154] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above modules is used as an example for illustration. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing from each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0155] An embodiment of the present application also provides a mobile storage and charging-discharging device, including a storage and charging-discharging device and a control device, wherein the control device is electrically connected to the storage and charging-discharging device. Figure 4 This is a schematic diagram of the structure of a control device 6 provided in an embodiment of the present application. Figure 4As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 4 Only one is shown), at least one memory 61 ( Figure 4 Only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 implements the steps in any of the above-mentioned energy storage and charging and discharging control method embodiments, or implements the functions of the modules in the above-mentioned system embodiments.

[0156] Exemplarily, the computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0157] The control device 6 can be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The mobile storage and charging device can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 4 It is only an example of the control device 6 and does not constitute a limitation on the control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0158] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0159] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the control device 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0160] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0161] An embodiment of the present application provides a computer program product. When the computer program product is run on a mobile storage-charge-discharge device, the mobile storage-charge-discharge device implements the steps in any of the above method embodiments.

[0162] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the process in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include at least: any entity or device that can carry the computer program code to a mobile storage device, a recording medium, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0163] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0164] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0165] In the embodiments provided in the present application, it should be understood that the disclosed mobile storage and charging and discharging devices and systems can be implemented in other ways. For example, the above-described storage and charging and discharging energy control system embodiments are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0166] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0167] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for controlling storage and discharge energy, characterized in that: Applied to a mobile storage and discharge device, the storage and discharge energy control method includes: Acquiring energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging storage device; In a multi-task scenario, in response to an energy regulation operation input by a user, a focus demand window is determined according to the current grid status, and the grid power demand corresponding to the focus demand window is determined as the focus demand; wherein the energy regulation operation includes the user regulating the energy output rate and output time of the current task window, and the current grid status includes the current geographical location of the mobile storage and charging device and the current electricity price; Analyze the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile storage and charging device is expected to supply to the focus demand window; Wherein, in the multi-tasking scenario, in response to the energy regulation operation input by the user, determining the focus demand window according to the current power grid status includes: In a multi-tasking scenario, in response to an energy regulation operation input by a user, analyzing the energy regulation operation to obtain a plurality of power requirements; Analyze the multi-task scenario and the current power grid status to obtain a task priority sequence; Analyze the plurality of power demands, the task priority sequence and the power price to determine a focus demand window; The energy regulation operation is analyzed to obtain a plurality of power requirements, including: Analyze the output time of the energy control operation to obtain multiple time periods; wherein the end time of each time period corresponds to the end time of each task window; Analyze the time periods to obtain a minimum time period; wherein the minimum time period is used to reflect the time period corresponding to the minimum time of multiple time periods in the same time trajectory; The energy output rate of the energy control operation of multiple task windows and the minimum time period are analyzed to obtain corresponding multiple power requirements; wherein the power requirement is used to reflect the output power of the task window in the minimum time period.

2. The method for controlling storage, charging and discharging energy according to claim 1, characterized in that: The step of analyzing the multi-task scenario and the current power grid status to obtain a task priority sequence includes: Analyzing the importance value of each of the task windows based on the multi-task scenario; wherein the importance value is used to reflect the degree of urgency of the task window; Analyze the current power grid status to obtain the impact value of each task window; wherein the impact value is used to reflect the impact degree of the task window on the power grid; An analysis is performed based on the importance value and the impact value to obtain a task priority sequence.

3. The method for controlling the storage and discharge of energy according to claim 2, characterized in that: Analyzing the important value of each task window based on the multi-task scenario includes: Analyze the multi-task scenario to obtain a task type; wherein the task type is used to reflect the demand type of the task window; Analyze according to the task type and obtain important predictions; Analyze the process completion of the task window to obtain an important coefficient; An importance value of each of the task windows is obtained based on the importance coefficient and the importance estimate.

4. The method for controlling the storage, charging and discharging of energy according to claim 3, characterized in that: The analyzing according to the current power grid status to obtain the impact value of each task window includes: Analyze the geographical location of the current power grid status to obtain load information; wherein the load information is used to reflect the load level of the power grid at the geographical location; An analysis is performed based on the load information and the task type to obtain an impact value of each task window.

5. The method for controlling storage, charging and discharging energy according to claim 2, characterized in that: The step of analyzing the importance value and the impact value to obtain a task priority sequence includes: Analyze the multiple impact values ​​to obtain multiple impact weights; The importance values ​​corresponding to the task windows are weighted and sorted based on the multiple impact weights to obtain a task priority sequence.

6. The method for controlling storage, charging and discharging energy according to claim 5, characterized in that: The step of analyzing the plurality of power requirements, the task priority sequence and the power price to determine a focus demand window comprises: Analyzing the electricity price to obtain a demand window priority sequence; wherein the demand window priority sequence is used to reflect the degree of influence of the electricity price on the task window; Analyze the sequence position corresponding to each task window in the demand window priority sequence to obtain a first coefficient of each task window; Analyze the value corresponding to each task window in the task priority sequence to obtain a second coefficient, wherein the value is used to indicate a value obtained by weighting the importance value by the influence weight; Adjusting the second coefficient based on the first coefficient to obtain an optimal priority sequence; The first sequence bit in the optimal priority sequence is matched to the demand windows corresponding to the multiple power demands to obtain a focus demand window.

7. The method for controlling storage, charging and discharging energy according to claim 1, characterized in that: The step of analyzing the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand includes: Calculate the energy accumulation of the focus demand in the minimum time period to obtain the rated demand energy; Calculating the ratio of the total output time of the focus demand to the minimum time period to obtain a time ratio; Analyze the time ratio and the energy storage information to obtain an estimated energy demand; wherein the estimated energy demand is used to reflect the energy required by the focus demand after the minimum time period; The guaranteed supply energy is obtained by accumulating the rated demand energy and the estimated demand energy.

8. A storage and discharge energy control system, characterized in that: Applied to a mobile storage and charging device, the system includes: An acquisition module, used to acquire energy storage information; wherein the energy storage information is used to reflect the current remaining energy of the mobile charging and discharging storage device; An acquisition analysis module is used to determine a focus demand window according to the current grid status in response to an energy regulation operation input by a user in a multi-task scenario, and determine the grid power demand corresponding to the focus demand window as the focus demand; wherein the energy regulation operation includes the user regulating the energy output rate and output time of the current task window, and the current grid status includes the geographical location of the current mobile storage and charging device and the current electricity price; An analysis module, used to analyze according to the energy storage information and the focus demand to obtain the guaranteed supply energy of the focus demand; wherein the guaranteed supply energy is used to reflect the total energy that the mobile storage and charging device is expected to supply to the focus demand window; Wherein, the acquisition and analysis module is also used for: In a multi-tasking scenario, in response to an energy regulation operation input by a user, analyzing the energy regulation operation to obtain a plurality of power requirements; Analyze the multi-task scenario and the current power grid status to obtain a task priority sequence; Analyze the plurality of power demands, the task priority sequence and the power price to determine a focus demand window; The energy regulation operation is analyzed to obtain a plurality of power requirements, including: Analyze the output time of the energy control operation to obtain multiple time periods; wherein the end time of each time period corresponds to the end time of each task window; Analyze the time periods to obtain a minimum time period; wherein the minimum time period is used to reflect the time period corresponding to the minimum time of multiple time periods in the same time trajectory; The energy output rate of the energy control operation of multiple task windows and the minimum time period are analyzed to obtain corresponding multiple power requirements; wherein the power requirement is used to reflect the output power of the task window in the minimum time period.

9. A mobile storage and discharge device, characterized in that: It includes a storage and discharge device and a control device, the control device is electrically connected to the storage and discharge device, the control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

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