Energy storage grid-connected and off-grid all-in-one machine power control method based on Mesh networking

Abstract

The invention discloses an energy storage grid-connected and off-grid all-in-one machine power control method based on Mesh networking, relates to the technical field of energy storage management, and improves energy interaction efficiency. By setting a plurality of long and short time sections, the frequency interaction indexes of the energy storage devices in different long and short time sections are obtained, and when one long time section starts, the energy storage devices are used as central energy storage devices in sequence, and the frequency interaction indexes of the energy storage devices in different long and short time sections are calculated according to the frequency interaction indexes of the energy storage devices in different long and short time sections. The method comprises the following steps: establishing a predicted energy interaction decision between energy storage devices, generating an actual energy interaction demand between grid-connected and off-grid nodes to carry out energy interaction, judging whether state information is abnormal or not in the energy interaction process, and enabling the abnormal grid-connected and off-grid nodes to execute off-grid operation according to a judgment result. And the predicted energy interaction decision is executed in the off-network operation process until the state information abnormity is eliminated.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage management, and specifically to a power control method for an energy storage integrated grid-connected and off-grid machine based on Mesh networking. Background Art

[0002] In today's energy field, energy storage devices are increasingly widely used, and they play a crucial role in the stable operation of the power system, the effective consumption of new energy, and other aspects. However, there are many problems in the existing energy interaction management systems of energy storage devices.

[0003] On the one hand, the traditional management methods of energy storage devices lack comprehensive and accurate collection of the status information of energy storage devices. During the operation of energy storage devices, they are affected by various factors, such as device aging, environmental temperature changes, etc., which will cause changes in the status of energy storage devices. If multiple status information of energy storage devices cannot be obtained in a timely and accurate manner, it is difficult to effectively monitor and manage energy storage devices, which may in turn affect the stability and reliability of the entire energy system.

[0004] On the other hand, the current decision-making for energy interaction between energy storage devices is not scientific and reasonable enough. During the energy interaction process, the energy usage frequency and demand changes of energy storage devices in different time periods are often not fully considered, resulting in low energy interaction efficiency and serious energy waste. In addition, when the status of an energy storage device is abnormal, there is a lack of an effective response mechanism, and off-grid operation cannot be taken in a timely manner, which is likely to cause safety accidents and have a serious impact on the entire energy system. Therefore, a power control method for an energy storage integrated grid-connected and off-grid machine based on Mesh networking is provided. Summary of the Invention

[0005] In order to solve the above technical problems, the purpose of the present invention is to provide a power control method for an energy storage integrated grid-connected and off-grid machine based on Mesh networking.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: A power control method for an energy storage integrated grid-connected and off-grid machine based on Mesh networking, comprising the following steps: Step S1: Set grid-connected and off-grid nodes for each energy storage device respectively and install a variety of sensors, and enable each sensor to communicate with the grid-connected and off-grid node. Then, the grid-connected and off-grid node collects multiple status information of the associated energy storage device and generates several historical energy interaction records for each energy storage device; Step S2: Set several long and short time periods, and then obtain the frequency interaction indexes between each energy storage device in different long and short time periods; Step S3: Whenever a long time segment starts, each energy storage device is successively used as the central energy storage device, and according to the frequency interaction index of the energy storage devices in different long and short time segments, a predicted energy interaction decision is established among the energy storage devices; Step S4: An actual energy interaction demand is generated between the grid-connected and off-grid nodes for energy interaction, and during the energy interaction process, it is judged whether there is an abnormality in each status information. According to the judgment result, the grid-connected and off-grid nodes with abnormalities are made to perform off-grid operations, and the predicted energy interaction decision is executed during the off-grid operation until the status information abnormality is eliminated.

[0007] Furthermore, the grid-connected and off-grid nodes are provided with a grid-connection unit, an off-grid unit, and a sensor unit; Both the grid-connection unit and the off-grid unit have the function of storing the status information of the energy storage devices and executing the energy interaction instructions. Among them, the grid-connection unit also has the function of performing data analysis on the historical energy interaction records, and then generating the predicted energy interaction decision and the actual energy interaction demand of the energy storage devices; The sensor unit is used to deploy a variety of sensors to collect the status information of the energy storage devices.

[0008] Furthermore, the generation process of the historical energy interaction records includes: A variety of sensors are installed on the energy storage devices, and each sensor is communicatively connected to the sensor unit in the grid-connected and off-grid nodes, and numbers are set for each energy storage device and the grid-connected and off-grid nodes; Furthermore, the sensor unit continuously schedules each sensor to collect a plurality of status information of the associated energy storage device, and the status information includes the remaining stored power, the energy storage power, and the load power; The sensor unit sends each status information to the grid-connection unit and the off-grid unit. At the same time, the grid-connection unit obtains the maximum charge-discharge power and the maximum energy storage capacity of its associated energy storage device through the Internet, and shares the maximum charge-discharge power to the off-grid unit; Before the energy interaction between any two energy storage devices, according to the energy flow direction, the grid-connection unit in the corresponding grid-connected and off-grid node of the energy storage device that obtains the energy sends an energy acquisition request to the grid-connection unit in another grid-connected and off-grid node. Then, the other grid-connection unit judges whether the energy acquisition request can be executed according to the status information and the maximum charge-discharge power of its associated energy storage device; According to the judgment result, the grid-connection units in the two grid-connection units simultaneously generate historical energy interaction records until the energy acquisition request is completed.

[0009] Furthermore, the acquisition process of the frequency interaction index of the energy storage devices in different long and short time segments includes: Retrieve all historical energy interaction records of each energy storage device in the past year, and set an energy interaction timeline for each energy storage device. Stack all the historical energy interaction records of the energy storage device above the energy interaction timeline on a daily basis; That is, the historical energy interaction records at the same time value are vertically located above the same position on the energy interaction timeline. Divide 365 long time segments on the energy interaction timeline, each long time segment corresponding to one day, and divide several short time segments in each long time segment in units of 15 minutes; According to the energy storage device numbers carried in the historical energy interaction records, and record the energy storage device corresponding to the energy interaction timeline as the central energy storage device. Then obtain the frequency interaction index of each energy storage device relative to the central energy storage device in each long and short time segment, mark the energy interaction direction for the frequency interaction index, and at the same time obtain the average energy interaction amount and average interaction duration of each energy storage device in each short time segment according to the historical energy interaction records; Furthermore, retrieve the historical energy interaction records under different frequency interaction indexes, and then establish a linear regression equation under the operating condition with the historical energy interaction amount in the historical energy interaction records as the independent variable and the change amount of each historical state information as the dependent variable.

[0010] Furthermore, the process of establishing the predicted energy interaction decision between each energy storage device includes: Establish an energy storage pool based on the current remaining stored power of the energy storage device at the beginning of the long time segment, and set limit parameters for each energy storage pool according to the maximum charge and discharge power and the maximum energy storage capacity; First, accumulate the frequency interaction indexes of any two energy storage devices in the long and short time segments of the first short time segment. Then, according to the energy interaction direction, each energy storage device sorts the accumulated values of its frequency interaction indexes with other energy storage devices. At the same time, obtain the average energy interaction amount and average interaction duration of the corresponding two energy storage devices in the first short time segment according to the energy storage device numbers, and then obtain the predicted energy storage power or predicted load power between the two energy storage devices; According to the magnitude order of the accumulated values of the frequency interaction indexes, set the predicted energy interaction decisions between each energy storage device in turn, and mark the predicted energy storage power or predicted load power on the energy storage pool for each energy interaction decision. Stop the energy interaction sorting on the corresponding energy storage pool until the accumulated amount of the predicted energy storage power or predicted load power is greater than or equal to the maximum charge and discharge power; The predicted energy interaction decision includes the energy interaction direction, the start and end time of the energy interaction, the estimated energy interaction amount, and the energy storage device number; Set the energy valley threshold. At the same time, according to the expected energy storage power or the expected load power marked on the energy storage pool, simulate the energy storage amount in the energy storage pool. If, during the simulation of the energy storage amount, the energy storage amount is greater than or equal to the maximum energy storage amount, or the energy storage amount is less than or equal to the energy valley threshold, then adjust the expected energy interaction decision associated with the energy storage pool until there is no situation where the energy storage amount is greater than or equal to the maximum energy storage amount and the energy storage amount is less than or equal to the energy valley threshold during the simulation of the energy storage amount; According to the generation process of the expected energy interaction decision in the first short time segment, sequentially generate the expected energy interaction decisions of each energy storage pool in subsequent short time segments; When the generation of the expected energy interaction decisions for all short time segments is completed, send the expected energy interaction decisions to the corresponding grid-connected and off-grid nodes according to the energy storage device numbers included in the expected energy interaction decisions.

[0011] Furthermore, the process of determining whether there are any abnormalities in the status information items includes: After the start of the first short time segment in the long time segment, the grid-connected and off-grid nodes generate actual energy interaction demands according to the actual energy demands and conduct energy interactions. During the interaction of the actual energy interaction demands, update the real-time status information of each energy storage device at the end of each short time segment; At the same time, according to the change in the real-time status information, regenerate the expected energy interaction decisions of each energy storage device at the start of each short time segment; Set multiple state change deviation thresholds. During the execution of the actual energy interaction demand, input the actual energy interaction amount in the actual energy interaction demand into the corresponding linear regression equation, and compare the output result with the corresponding state change deviation threshold. If it is determined that all output results are less than the corresponding state change deviation threshold, do nothing; If it is determined that any one of the output results is greater than or equal to the corresponding state change deviation threshold, the grid-connected and off-grid node of the corresponding energy storage device triggers an off-grid operation and detects and repairs the corresponding energy storage device. The off-grid operation includes closing the grid-connected unit, starting the off-grid unit, stopping all current actual energy interaction demands, and sending an off-grid notice to the remaining grid-connected and off-grid nodes.

[0012] Furthermore, the execution process of the off-grid operation includes: Set a predicted difference threshold. When the other grid-connected and off-grid nodes receive the off-grid notice, according to the energy storage device nodes associated with the grid-connected and off-grid nodes that send the off-grid notice, retrieve the corresponding predicted energy interaction decision. If there is a generation time of the actual energy interaction demand of the energy storage device within the energy interaction start and end times included in the predicted energy interaction decision, and the energy interaction direction is the same as the predicted energy interaction decision, and the difference between the actual energy interaction volume and the estimated energy interaction volume is less than or equal to the predicted difference threshold, then the grid-connected and off-grid nodes of the energy storage device directly trigger the energy storage device for off-grid operation to perform energy interaction; When the off-grid unit determines that the remaining stored power and various real-time status information have changed according to the sensor unit, retrieve the corresponding predicted energy interaction decision according to the change amount of the real-time status information and the occurrence time; Furthermore, monitor the energy duration according to the energy interaction start and end times in the predicted energy interaction decision, and monitor the current remaining stored power according to the estimated energy interaction volume. If it is determined that either one of them is completed, control the energy storage device to stop the energy interaction operation.

[0013] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention obtains the frequency interaction indexes of each energy storage device in different long and short time periods; step S3 establishes the predicted energy interaction decision between each energy storage device according to these frequency interaction indexes. While considering the energy usage frequency and demand changes of the energy storage device in different time periods, the energy interaction decision is made more scientific and reasonable, which can effectively improve the energy interaction efficiency and reduce energy waste 2. Energy interaction is carried out by generating actual energy interaction demands between each grid-connected and off-grid node, and whether there are abnormalities in each status information is judged during the energy interaction process. Once an abnormality is found, the grid-connected and off-grid node with the abnormality can be timely commanded to perform the off-grid operation, and the predicted energy interaction decision is executed during the off-grid operation until the abnormality of the status information is eliminated. It effectively avoids the occurrence of safety accidents and ensures the stable operation of the entire operation ecosystem of the energy storage device to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0015] Figure 1 It is a flowchart of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0016] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other implementation manners obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope protected by the present invention. Embodiment

[0017] As Figure 1 shown, a power control method for an energy storage integrated grid-connected and off-grid machine based on Mesh networking includes the following steps: Step S1: Set grid-connected and off-grid nodes for each energy storage device respectively and install a variety of sensors, and make each sensor communicate with the grid-connected and off-grid node. Then, the grid-connected and off-grid node collects multiple state information of the associated energy storage device and generates several historical energy interaction records of each energy storage device. Step S2: Set several long and short time periods, and then obtain the frequency interaction indexes between different energy storage devices in different long and short time periods. Step S3: Whenever a long time period starts, take each energy storage device as the central energy storage device in turn, and establish a predicted energy interaction decision between each energy storage device according to the frequency interaction indexes of the energy storage device in different long and short time periods. Step S4: Generate actual energy interaction requirements between each grid-connected and off-grid node for energy interaction, and judge whether there is any abnormality in the state information during the energy interaction process. According to the judgment result, make the grid-connected and off-grid node with abnormality perform off-grid operation, and execute the predicted energy interaction decision during the off-grid operation until the state information abnormality is eliminated.

[0018] Further, the step S1 is implemented through the following process: Bind a grid-connected and off-grid node to each energy storage device. The grid-connected and off-grid node is provided with a grid-connected unit, an off-grid unit and a sensor unit. Both the grid-connected unit and the off-grid unit have the function of storing the state information of the energy storage device and executing the energy interaction instruction. Among them, the grid-connected unit also has the function of analyzing the data of the historical energy interaction record, and then generating the predicted energy interaction decision and the actual energy interaction requirement of the energy storage device. The sensor unit is used to deploy a variety of sensors to collect the state information of the energy storage device. Install a variety of sensors on the energy storage device, and communicate each sensor with the sensor unit in the grid-connected and off-grid node. The types of sensors include power sensors, voltage sensors, temperature sensors, current sensors, etc. Set numbers a 1 、a 2, a 3 , ……, a n , where n represents the total number of energy storage devices, and n is a positive integer greater than 10; Furthermore, the sensor unit continuously schedules each sensor to collect multiple status information of its associated energy storage device, and the status information includes remaining stored power, energy storage power, and load power; The sensor unit sends each status information to the grid-connected unit and the off-grid unit. At the same time, the grid-connected unit obtains the maximum charge and discharge power and the maximum energy storage capacity of its associated energy storage device through the Internet, and shares the maximum charge and discharge power to the off-grid unit; Before the energy interaction between any two energy storage devices, according to the energy flow direction, the grid-connected unit of the energy storage device corresponding to the energy obtains an energy acquisition request and sends it to the grid-connected unit in another grid-connected and off-grid node. Furthermore, another grid-connected unit determines whether the energy acquisition request can be executed according to the status information and the maximum charge and discharge power of its associated energy storage device; The energy acquisition request includes the energy acquisition amount, the request execution period, and the energy storage device number; If the energy acquisition amount is greater than the unreserved quantity of the current remaining stored power of the energy storage device, or it is determined according to the request execution period that the current energy storage power and load power of the energy storage device are greater than the maximum charge and discharge power, if it is determined that it cannot be executed, a demand rejection prompt is sent to the corresponding energy storage device; Otherwise, it is determined that the energy acquisition request can be executed. Furthermore, the grid-connected units in the two grid-connected units simultaneously generate a historical energy interaction record until the energy acquisition request is completed; The historical energy interaction record includes the numbers of the two energy storage devices, the change amounts of various historical status information, and the historical energy interaction amount.

[0019] Furthermore, the step S2 is implemented through the following process: Retrieve all the historical energy interaction records of each energy storage device in the past year, and set an energy interaction time axis for each energy storage device respectively. Stack all the historical energy interaction records of the energy storage device above the energy interaction time axis in units of days; That is, the historical energy interaction records at the same time value are vertically located above the same position on the energy interaction time axis. For example, the historical energy interaction records at 19:24 are vertically located above the same position on the energy interaction time axis; Divide 365 long time periods on the energy interaction time axis, each long time period corresponds to one day, and divide several short time periods in each long time period in units of 15 minutes; According to the energy storage device numbers carried in the historical energy interaction records, and regarding the energy storage device corresponding to the energy interaction timeline as the central energy storage device, further obtain the frequency interaction indices of each energy storage device relative to the central energy storage device in each long and short time segments, mark the energy interaction directions for the frequency interaction indices, and simultaneously obtain the average energy interaction amounts and average interaction durations of each energy storage device in each short time segment according to the historical energy interaction records; The formula for obtaining the frequency interaction index in the long time segment is: ; Wherein represents the frequency interaction index of the energy storage devices numbered a i and a j in the long time segment, is the long time correction parameter, represents the set of time distances of the long time segments with historical energy interaction records between two energy storage devices, represents the value of the d-th element in, i and j are different, and are positive integers less than or equal to n; For example, S = {1, 3, 28}, taking the current moment as the anchor point, the time distances between each long time segment and the anchor point, such as the historical energy interaction records generated yesterday, then the time distance is 1, and the time distance of the historical energy interaction records generated 28 days ago is 28; The formula for obtaining the frequency interaction index in the short time segment is: ; Wherein represents the frequency interaction index of the energy storage devices numbered a i and a j in the k-th short time segment, is the short time correction parameter, represents the set of time distances of the historical energy interaction records between two energy storage devices in the short time segment, represents the value of the d-th element in; For example, s = {1, 3, 28}, taking the current moment as the anchor point, in the same short time segment, the historical energy interaction records generated 1 day ago, 3 days ago, and 28 days ago respectively; At the same time, retrieve the historical energy interaction records under different frequency interaction indices, and then establish a linear regression equation under the operating conditions with the historical energy interaction amounts in the historical energy interaction records as independent variables and the change amounts of various historical state information as dependent variables.

[0020] Furthermore, the step S3 is implemented through the following process: Whenever a long time period starts, each energy storage device is successively taken as the central energy storage device, and the frequency interaction index of the long time period between it and other energy storage devices is classified according to the energy interaction direction; An energy storage pool is established based on the current remaining stored power of the energy storage device at the start of the long time period, and limit parameters are set for each energy storage pool according to the maximum charge-discharge power and the maximum energy storage capacity; And the energy storage pools of each energy storage device are connected to each other, and then prediction starts from the first short time period in the long time period; First, the frequency interaction indexes of the long and short time periods of any two energy storage devices in the first short time period are accumulated. Then, according to the energy interaction direction, each energy storage device sorts the accumulated values of the frequency interaction indexes with other energy storage devices. At the same time, according to the energy storage device numbers, the average energy interaction amount and the average interaction duration of the corresponding two energy storage devices in the first short time period are obtained, and then the predicted energy storage power or the predicted load power between the two energy storage devices is obtained; According to the size order of the accumulated values of the frequency interaction indexes, predicted energy interaction decisions are successively set between each energy storage device, and the predicted energy storage power or the predicted load power is marked on the energy storage pool for each energy interaction decision. Until the accumulated amount of the predicted energy storage power or the predicted load power is greater than or equal to the maximum charge-discharge power, stop the energy interaction sorting on the corresponding energy storage pool; The predicted energy interaction decision includes the energy interaction direction, the start and end time of the energy interaction, the estimated energy interaction amount, and the energy storage device number; Set an energy low valley threshold. At the same time, according to the predicted energy storage power or the predicted load power marked on the energy storage pool, simulate the energy storage amount in the energy storage pool. If the energy storage amount is greater than or equal to the maximum energy storage capacity or the energy storage amount is less than or equal to the energy low valley threshold during the energy storage amount simulation process, then adjust the predicted energy interaction decision associated with the energy storage pool until there is no situation where the energy storage amount is greater than or equal to the maximum energy storage capacity and the energy storage amount is less than or equal to the energy low valley threshold in the energy storage amount simulation; According to the generation process of the predicted energy interaction decision in the first short time period, successively generate the predicted energy interaction decisions of each energy storage pool in the subsequent short time periods; When the generation of the predicted energy interaction decisions for all short time periods is completed, according to the energy storage device numbers included in the predicted energy interaction decisions, send the predicted energy interaction decisions to the corresponding off-grid nodes.

[0021] Furthermore, the step S4 is implemented through the following process: After the start of the first short time period within a long time period, actual energy interaction requirements are generated among the grid-connected and off-grid nodes according to the actual energy demands, and during the interaction of the actual energy interaction requirements, various real-time status information of the energy storage devices is updated at the end of each short time period; Meanwhile, according to the change of the real-time status information, the predicted energy interaction decisions of each energy storage device are regenerated at the start of each short time period; A number of state change deviation thresholds are set. During the execution of the actual energy interaction requirements, the actual energy interaction quantity in the actual energy interaction requirements is input into the corresponding linear regression equation, and the output result is compared with the corresponding state change deviation threshold. If it is judged that all the output results are less than the corresponding state change deviation threshold, no operation is performed; If it is judged that any one of the output results is greater than or equal to the corresponding state change deviation threshold, the grid-connected and off-grid node of the corresponding energy storage device triggers an off-grid operation and detects and repairs the corresponding energy storage device. The off-grid operation includes closing the grid connection unit, starting the off-grid unit, stopping all current actual energy interaction requirements, and sending an off-grid notice to the remaining grid-connected and off-grid nodes; A predicted difference threshold is set. When the remaining grid-connected and off-grid nodes receive the off-grid notice, according to the energy storage device node associated with the grid-connected and off-grid node that sends the off-grid notice, the corresponding predicted energy interaction decision is retrieved. If there is a generation time of the actual energy interaction requirement of the energy storage device, within the energy interaction start and end times included in the predicted energy interaction decision, and the energy interaction direction is the same as the predicted energy interaction decision, and the difference between the actual energy interaction quantity and the predicted energy interaction quantity is less than or equal to the predicted difference threshold, then the grid-connected and off-grid node of the energy storage device directly triggers the energy storage device that performs the off-grid operation to perform energy interaction; When the off-grid unit judges that the remaining stored power and various real-time status information change according to the sensor unit, the corresponding predicted energy interaction decision is retrieved according to the change amount and occurrence time of the real-time status information; Furthermore, the energy duration is supervised according to the energy interaction start and end times in the predicted energy interaction decision, and the current remaining stored power is supervised according to the predicted energy interaction quantity. If it is judged that either one of them is completed, the energy storage device is controlled to stop the energy interaction operation; Repeat the above off-grid operation until the maintenance of the energy storage device is completed and the grid connection operation is started.

[0022] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A power control method for an energy storage and off-grid integrated device based on Mesh networking, characterized in that: The following steps are involved: Step S1: setting up on-grid and off-grid nodes and installing multiple sensors for each energy storage device, so that each sensor is connected to the on-grid and off-grid nodes for communication, and then the on-grid and off-grid nodes collect multiple status information of the associated energy storage devices, and generate several copies of historical energy interaction records for each energy storage device; Step S2, setting a number of long and short time segments, and then obtaining the frequency interaction index between various energy storage devices in different long and short time segments; Step S3, whenever a long time segment begins, each energy storage device is taken as the central energy storage device in turn, and according to the frequency interaction index of the energy storage device in different long and short time segments, an estimated energy interaction decision between each energy storage device is established; Step S4: Actual energy interaction demands are generated between each on-grid and off-grid node for energy interaction. During the energy interaction process, it is determined whether there are any abnormalities in various status information. According to the determination result, the on-grid and off-grid nodes with abnormalities are ordered to perform off-grid operations, and the expected energy interaction decisions are executed during the off-grid operation until the status information abnormalities are eliminated.

2. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 1 is characterized in that: The on-grid and off-grid node is provided with an on-grid unit, an off-grid unit and a sensor unit; The grid-connected unit and the off-grid unit both have the function of storing the status information of the energy storage device and executing the energy interaction instructions, wherein the grid-connected unit also has the function of performing data analysis on the historical energy interaction records, thereby generating the estimated energy interaction decision and the actual energy interaction demand of the energy storage device; The sensor unit is used to deploy multiple sensors to collect status information of the energy storage device.

3. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 2 is characterized in that: The generation process of the historical energy interaction record includes: Installing multiple sensors on the energy storage device, and connecting each sensor to the sensor unit in the on-grid and off-grid nodes, and setting numbers for each energy storage device and on-grid and off-grid nodes; Then the sensor unit continuously schedules each sensor to collect multiple status information of its associated energy storage device, wherein the status information includes remaining storage power, energy storage power and load power; The sensor unit sends various status information to the grid-connected unit and the off-grid unit. At the same time, the grid-connected unit obtains the maximum charge and discharge power and the maximum storage capacity of its associated energy storage device through the Internet. Before energy interaction between any two energy storage devices, according to the direction of energy flow, the grid-connected unit in the grid-connected and off-grid node corresponding to the energy storage device that obtains energy sends an energy acquisition request to the grid-connected unit in another grid-connected and off-grid node, and then the other grid-connected unit determines whether the energy acquisition request is executed according to the status information of the energy storage device associated with it and the maximum charge and discharge power; The two grid-connected units simultaneously generate historical energy interaction records according to the judgment result until the energy acquisition request is completed.

4. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 3 is characterized in that: The process of obtaining the frequency interaction index between various energy storage devices in different long and short time segments includes: An energy interaction timeline is set for each energy storage device, and all historical energy interaction records of the energy storage device are stacked on top of the energy interaction timeline in units of days; 365 long time segments are divided on the energy interaction timeline, each of which corresponds to one day, and several short time segments are divided in units of 15 minutes in each long time segment. According to the energy storage device number carried by the historical energy interaction record, the energy storage device corresponding to the energy interaction timeline is recorded as the central energy storage device; Then, the frequency interaction index of each energy storage device relative to the central energy storage device in each long and short time segment is obtained, and the energy interaction direction is marked on the frequency interaction index. According to the historical energy interaction records, the average energy interaction amount and average interaction duration of each energy storage device in each short time segment are obtained.

5. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 4 is characterized in that: The historical energy interaction records under different frequency interaction indexes are retrieved, and then the historical energy interaction amount in the historical energy interaction records is used as the independent variable, and the change amount of each historical state information is used as the dependent variable to establish a linear regression equation under the operating conditions.

6. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 5 is characterized in that: The process of establishing the expected energy interaction decision between various energy storage devices includes: Establishing energy storage pools based on the current remaining storage capacity of the energy storage device at the beginning of the long-term period, and setting limit parameters for each energy storage pool based on the maximum charge and discharge power and the maximum storage capacity; The frequency interaction indexes of any two energy storage devices in the long and short time segments are accumulated in the short time segment, and then each energy storage device is sorted by the accumulated value of the frequency interaction index of the other energy storage devices according to the energy interaction direction, and the estimated energy storage power or the estimated load power between the two energy storage devices is obtained at the same time; Set expected energy interaction decisions between various energy storage devices, and mark each energy interaction decision with the expected energy storage power or the expected load power on the energy storage pool, until the cumulative amount of the expected energy storage power or the expected load power is greater than or equal to the maximum charge and discharge power, then stop the energy interaction sorting of the energy storage pool on the corresponding energy storage pool; The estimated energy interaction decision includes the energy interaction direction, the energy interaction start and end time, the estimated energy interaction amount and the energy storage device number; At the same time, according to the expected energy storage power or expected load power marked on the energy storage pool, the energy storage capacity in the energy storage pool is simulated, and the expected energy interaction decision associated with the energy storage pool is adjusted according to the energy storage capacity simulation result, so as to generate the expected energy interaction decision of each energy storage pool in the subsequent short time period.

7. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 6 is characterized in that: The process of determining whether each state information is abnormal includes: Each on-grid and off-grid node generates actual energy interaction demand based on actual energy demand for energy interaction, and updates the real-time status information of the energy storage equipment at the end of each short-time segment; Set multiple state change deviation thresholds. During the execution of the actual energy interaction demand, input the actual energy interaction amount in the actual energy interaction demand into the corresponding linear regression equation, and compare the output result with the corresponding state change deviation threshold. According to the comparison results, the on-grid and off-grid nodes of the corresponding energy storage equipment trigger off-grid operations and perform inspections and repairs on the corresponding energy storage equipment. The off-grid operations include shutting down the on-grid unit, starting the off-grid unit, and stopping all current actual energy interaction needs, and sending off-grid notifications to the remaining on-grid and off-grid nodes.

8. The power control method of the energy storage and off-grid integrated machine based on Mesh networking according to claim 7 is characterized in that: The execution process of the off-grid operation includes: Set an estimated difference threshold, and retrieve the corresponding estimated energy interaction decision according to the energy storage device node associated with the on-grid and off-grid node that sends the off-grid notification. If there is an actual energy interaction demand generation time of the energy storage device, which is within the energy interaction start and end time included in the estimated energy interaction decision, and the energy interaction direction is the same as the expected energy interaction decision, and the difference between the actual energy interaction amount and the estimated energy interaction amount is less than or equal to the estimated difference threshold, then the on-grid and off-grid node of the energy storage device directly triggers the off-grid energy storage device to perform energy interaction; When the off-grid unit determines that the remaining storage power and various real-time status information have changed according to the sensor unit, the corresponding estimated energy interaction decision is retrieved according to the change amount and occurrence time of the real-time status information; Then, the energy duration is monitored according to the expected energy interaction start and end time in the energy interaction decision, and the current remaining storage power is monitored according to the estimated energy interaction amount. If it is determined that either of the two is completed, the energy storage device is controlled to stop the energy interaction operation.

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