Power control method of energy storage and off-grid integrated device based on Mesh networking

Abstract

The present invention discloses a power control method for an energy storage grid-connected and off-grid integrated device based on Mesh networking, which relates to the field of energy storage management technology and improves energy interaction efficiency. The present invention sets a number of long and short time segments, and then obtains the frequency interaction index between each energy storage device in different long and short time segments. Whenever a long time segment begins, each energy storage device is used as the central energy storage device in turn. Based on the frequency interaction index of the energy storage device in different long and short time segments, an expected energy interaction decision is established between each energy storage device. Actual energy interaction demand is generated between each grid-connected and off-grid node for energy interaction. During the energy interaction process, it is determined whether there are any abnormalities in various status information. Based on the judgment result, the grid-connected and off-grid node with the abnormality is ordered to perform off-grid operation. The expected energy interaction decision is executed during the off-grid operation until the status information abnormality is eliminated.

Description

Technical Field

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

[0002] In today's energy sector, energy storage devices are increasingly being used, playing a vital role in the stable operation of power systems and the effective absorption of new energy. However, existing energy storage device energy interaction management systems have many problems.

[0003] On the one hand, traditional energy storage device management methods lack comprehensive and accurate collection of device status information. Energy storage devices are affected by various factors during operation, such as device aging and ambient temperature fluctuations, which can cause changes in the device's status. Without timely and accurate access to multiple status information about energy storage devices, effective monitoring and management of the devices becomes difficult, potentially impacting the stability and reliability of the entire energy system.

[0004] On the other hand, current decision-making regarding energy interaction between energy storage devices is not scientifically sound. During energy interaction, the frequency of energy usage and changes in demand across energy storage devices over different time periods are often not fully considered, resulting in inefficient energy interaction and significant energy waste. Furthermore, when energy storage devices experience abnormalities, there is a lack of effective response mechanisms, preventing timely off-grid operation. This can easily lead to safety incidents and severely impact the entire energy system. Therefore, a power control method for integrated on-grid and off-grid energy storage devices based on Mesh networking is proposed. 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 and off-grid integrated device based on Mesh networking.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] The power control method of an energy storage on-grid and off-grid integrated device based on Mesh networking includes the following steps:

[0008] Step S1: Setting up on-grid and off-grid nodes and installing multiple sensors on each energy storage device, respectively. Each sensor is connected to the on-grid and off-grid nodes. The on-grid and off-grid nodes then collect multiple status information of their associated energy storage devices and generate several historical energy interaction records for each energy storage device.

[0009] Step S2: setting a number of long and short time segments, and then obtaining the frequency interaction index between each energy storage device in different long and short time segments;

[0010] Step S3: Whenever a long time period begins, each energy storage device is used 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 periods, an expected energy interaction decision is established between each energy storage device;

[0011] Step S4: Actual energy interaction demands are generated between each on-grid and off-grid node to perform energy interaction. During the energy interaction process, it is determined whether there are any abnormalities in the various status information. Based on the determination results, 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 operations until the status information abnormalities are eliminated.

[0012] Furthermore, the on-grid and off-grid node is provided with an on-grid unit, an off-grid unit and a sensor unit;

[0013] 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 energy interaction instructions, wherein the grid-connected unit also has the function of performing data analysis on historical energy interaction records, thereby generating the expected energy interaction decision and actual energy interaction demand of the energy storage device;

[0014] The sensor unit is used to deploy multiple sensors to collect status information of the energy storage device.

[0015] Furthermore, the generation process of the historical energy interaction record includes:

[0016] Installing multiple sensors on the energy storage device, connecting each sensor to the sensor unit in the on-grid and off-grid nodes, and assigning numbers to each energy storage device and on-grid and off-grid nodes;

[0017] Then the sensor unit continuously schedules each sensor to collect multiple status information of its associated energy storage device, the status information including remaining storage capacity, energy storage power and load power;

[0018] 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 maximum storage capacity of its associated energy storage device through the Internet, and shares the maximum charge and discharge power with the off-grid unit.

[0019] Before energy exchange between any two energy storage devices, based on the direction of energy flow, the grid-connected unit in the grid-connected or off-grid node corresponding to the energy storage device that acquires energy sends an energy acquisition request to the grid-connected unit in the other grid-connected or off-grid node. The other grid-connected unit then determines whether the energy acquisition request can be executed based on the status information and maximum charge and discharge power of its associated energy storage device.

[0020] The two grid-connected units simultaneously generate historical energy interaction records according to the judgment result until the energy acquisition request is completed.

[0021] Furthermore, the process of obtaining the frequency interaction index between the energy storage devices in different long and short time segments includes:

[0022] Retrieve all historical energy interaction records of each energy storage device in the past year, set up an energy interaction timeline for each energy storage device, and overlay all historical energy interaction records of the energy storage device on top of the energy interaction timeline in units of days;

[0023] That is, according to the historical energy interaction records at the same time value, which are located vertically above the same position on the energy interaction time axis, 365 long time segments are divided on the energy interaction time axis. Each long time segment corresponds to one day, and several short time segments are divided in units of 15 minutes in each long time segment.

[0024] Based on the energy storage device number in the historical energy interaction records, the energy storage device corresponding to the energy interaction time axis is recorded as the central energy storage device. The frequency interaction index of each energy storage device relative to the central energy storage device in each long and short time segment is then obtained. The energy interaction direction is marked on the frequency interaction index. At the same time, the average energy interaction amount and average interaction duration of each energy storage device in each short time segment are obtained based on the historical energy interaction records.

[0025] Furthermore, historical energy interaction records under different frequency interaction indexes are retrieved, and then the historical energy interaction amount in the historical energy interaction record 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.

[0026] Furthermore, the process of establishing the expected energy interaction decision between various energy storage devices includes:

[0027] Establish energy storage pools based on the current remaining storage capacity of the energy storage device at the beginning of the long period, and set limit parameters for each energy storage pool based on the maximum charge and discharge power and the maximum storage capacity;

[0028] First, the frequency interaction indexes of the long and short time segments of any two energy storage devices in the first short time segment are accumulated. Then, according to the direction of energy interaction, each energy storage device is sorted by the accumulated frequency interaction index values ​​of the other energy storage devices. At the same time, the average energy interaction amount and average interaction duration of the two energy storage devices in the first short time segment are obtained according to the energy storage device number, thereby obtaining the expected energy storage power or expected load power between the two energy storage devices.

[0029] According to the order of the accumulated values ​​of the frequency interaction index, the expected energy interaction decisions are set between each energy storage device in turn, and each energy interaction decision is marked with the expected energy storage power or expected load power on the energy storage pool. When the accumulated amount of the expected energy storage power or expected load power is greater than or equal to the maximum charge and discharge power, the energy interaction sorting of the energy storage pool on the corresponding energy storage pool is stopped;

[0030] 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;

[0031] An energy valley threshold is set, and at the same time, the energy storage capacity in the energy storage pool is simulated according to the expected energy storage power or expected load power marked on the energy storage pool. If, during the energy storage capacity simulation, the energy storage capacity is greater than or equal to the maximum storage capacity, or the energy storage capacity is less than or equal to the energy valley threshold, the expected energy interaction decision associated with the energy storage pool is adjusted until the energy storage capacity simulation no longer finds that the energy storage capacity is greater than or equal to the maximum storage capacity, or that the energy storage capacity is less than or equal to the energy valley threshold.

[0032] Based on the estimated energy interaction decision generation process of the first short-time segment, the estimated energy interaction decisions of each energy storage pool in subsequent short-time segments are generated in sequence;

[0033] When the generation of the expected energy interaction decisions for all short-time segments is completed, the expected energy interaction decisions are sent to the corresponding on-grid and off-grid nodes according to the energy storage device numbers included in the expected energy interaction decisions.

[0034] Furthermore, the process of determining whether each state information is abnormal includes:

[0035] After the first short-time segment of the long-time segment begins, each on-grid and off-grid node generates actual energy interaction demands based on actual energy demand for energy interaction. During the interaction of actual energy interaction demands, the real-time status information of the energy storage device is updated at the end of each short-time segment.

[0036] At the same time, based on the changes in real-time status information, the estimated energy interaction decision of each energy storage device is regenerated at the beginning of each short time segment;

[0037] Set multiple state change deviation thresholds. During the execution of 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 judged that all output results are less than the corresponding state change deviation threshold, no operation is performed.

[0038] If any output result is judged to be greater than or equal to the corresponding state change deviation threshold, the grid-connected and off-grid nodes of the corresponding energy storage equipment trigger the off-grid operation and perform inspection and maintenance on the corresponding energy storage equipment. The off-grid operation includes shutting down the grid-connected unit, starting the off-grid unit, and stopping all current actual energy interaction needs, and sending an off-grid notification to the remaining grid-connected and off-grid nodes.

[0039] Furthermore, the execution process of the off-grid operation includes:

[0040] An estimated difference threshold is set. When the remaining on-grid and off-grid nodes receive the off-grid notification, they retrieve the corresponding estimated energy interaction decision based on the energy storage device node associated with the on-grid and off-grid node that sent the off-grid notification. If the actual energy interaction demand generation time of the energy storage device 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 estimated 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;

[0041] When the off-grid unit determines that the remaining storage power and various real-time status information have changed based on the sensor unit, the corresponding expected energy interaction decision is retrieved based on the amount of change in the real-time status information and the time of occurrence;

[0042] Then, the energy duration is monitored according to the start and end time of the energy interaction in the expected 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.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. This invention obtains the frequency interaction index of each energy storage device in different long and short time periods; based on these frequency interaction indexes, it establishes the expected energy interaction decision between each energy storage device. While considering the energy usage frequency and demand changes of energy storage devices in different time periods, it makes the energy interaction decision more scientific and reasonable, can effectively improve energy interaction efficiency, and reduce energy waste;

[0045] 2. Energy interaction is achieved by generating actual energy exchange demands between on-grid and off-grid nodes, and during this energy exchange process, determining whether any status information is abnormal. If an anomaly is detected, the on-grid and off-grid nodes with the anomaly are promptly instructed to go off-grid. During the off-grid operation, the planned energy exchange decisions are executed until the status information anomaly is resolved. This effectively prevents safety incidents and, to a certain extent, ensures the stable operation of the entire energy storage system ecosystem. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention.

[0047] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0048] To make the objectives, technical solutions, and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without inventive effort are within the scope of protection of the present invention.

[0049] Example 1

[0050] like Figure 1 As shown, the power control method of the energy storage and off-grid integrated device based on Mesh networking includes the following steps:

[0051] Step S1: Setting up on-grid and off-grid nodes and installing multiple sensors on each energy storage device, respectively. Each sensor is connected to the on-grid and off-grid nodes. The on-grid and off-grid nodes then collect multiple status information of their associated energy storage devices and generate several historical energy interaction records for each energy storage device.

[0052] Step S2: setting a number of long and short time segments, and then obtaining the frequency interaction index between each energy storage device in different long and short time segments;

[0053] Step S3: Whenever a long time period begins, each energy storage device is used 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 periods, an expected energy interaction decision is established between each energy storage device;

[0054] Step S4: Actual energy interaction demands are generated between each on-grid and off-grid node to perform energy interaction. During the energy interaction process, it is determined whether there are any abnormalities in the various status information. Based on the determination results, 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 operations until the status information abnormalities are eliminated.

[0055] Furthermore, step S1 is implemented by the following process:

[0056] Each energy storage device is bound to an on-grid or off-grid node, wherein the on-grid or off-grid node is provided with an on-grid unit, an off-grid unit, and a sensor unit;

[0057] 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 energy interaction instructions, wherein the grid-connected unit also has the function of performing data analysis on historical energy interaction records, thereby generating the expected energy interaction decision and actual energy interaction demand of the energy storage device;

[0058] The sensor unit is used to deploy multiple sensors to collect status information of the energy storage device;

[0059] Install multiple sensors on the energy storage device and connect each sensor to the sensor unit in the grid-connected and off-grid nodes. The types of sensors include power sensors, voltage sensors, temperature sensors, current sensors, etc.

[0060] Set the numbers a1, a2, a3, ..., a for each energy storage device and the on-grid and off-grid nodes. n , n represents the total number of energy storage devices, and n is a positive integer greater than 10;

[0061] Then the sensor unit continuously schedules each sensor to collect multiple status information of its associated energy storage device, the status information including remaining storage capacity, energy storage power and load power;

[0062] 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 maximum storage capacity of its associated energy storage device through the Internet, and shares the maximum charge and discharge power with the off-grid unit.

[0063] Before energy exchange between any two energy storage devices, based on the direction of energy flow, the grid-connected unit in the grid-connected or off-grid node corresponding to the energy storage device that acquires energy sends an energy acquisition request to the grid-connected unit in the other grid-connected or off-grid node. The other grid-connected unit then determines whether the energy acquisition request can be executed based on the status information and maximum charge and discharge power of its associated energy storage device.

[0064] The energy acquisition request includes the energy acquisition amount, the request execution time period and the energy storage device number;

[0065] If the energy acquisition amount is greater than the unreserved amount of the current remaining storage capacity of the energy storage device, or if the current energy storage power and load power of the energy storage device are greater than the maximum charge and discharge power according to the requested execution period, if it is determined that the request cannot be executed, a request rejection prompt is sent to the corresponding energy storage device;

[0066] Otherwise, it is determined that the energy acquisition request can be executed, and then the grid-connected units in the two grid-connected units simultaneously generate historical energy interaction records until the energy acquisition request is completed;

[0067] The historical energy interaction record includes the serial numbers of the two energy storage devices, the amount of changes in various historical status information, and the amount of historical energy interaction.

[0068] Furthermore, step S2 is implemented by the following process:

[0069] Retrieve all historical energy interaction records of each energy storage device in the past year, set up an energy interaction timeline for each energy storage device, and overlay all historical energy interaction records of the energy storage device on top of the energy interaction timeline in units of days;

[0070] 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.

[0071] The energy interaction timeline is divided into 365 long time segments, each of which corresponds to one day, and each long time segment is divided into several short time segments of 15 minutes each;

[0072] Based on the energy storage device number in the historical energy interaction records, the energy storage device corresponding to the energy interaction time axis is recorded as the central energy storage device. The frequency interaction index of each energy storage device relative to the central energy storage device in each long and short time segment is then obtained. The energy interaction direction is marked on the frequency interaction index. At the same time, the average energy interaction amount and average interaction duration of each energy storage device in each short time segment are obtained based on the historical energy interaction records.

[0073] The formula for obtaining the frequency interaction index of the long-term segment is:

[0074] ;

[0075] in Indicates number a i and a j The frequency interaction index of energy storage equipment in long time segments, To correct parameters for a long time, The time distance set representing the long period of historical energy interaction records between two energy storage devices, express The value of the dth element in the array, i and j are different and are positive integers less than or equal to n;

[0076] For example, if S={1, 3, 28}, with the current moment as the anchor point, the time distance between each long time segment and the anchor point, such as the historical energy interaction record generated yesterday, is 1, and the time distance of the historical energy interaction record generated 28 days ago is 28;

[0077] The formula for obtaining the frequency interaction index of a short time segment is:

[0078] ;

[0079] in Indicates number a i and a j The frequency interaction index of the energy storage device in the kth short time segment, To correct the parameters in a short time, Represents the time distance set of the historical energy interaction records between two energy storage devices in a short time period, express The value of the dth element in ;

[0080] For example, s={1, 3, 28}, with the current moment as the anchor point, in the same short time period, the historical energy interaction records generated 1 day ago, 3 days ago, and 28 days ago;

[0081] At the same time, historical energy interaction records under different frequency interaction indexes are retrieved, and then the historical energy interaction amount in the historical energy interaction record 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.

[0082] Furthermore, step S3 is implemented by the following process:

[0083] Whenever a long period of time begins, each energy storage device is taken as the central energy storage device, and the frequency interaction index of the long period of time between it and other energy storage devices is classified according to the direction of energy interaction;

[0084] Establish energy storage pools based on the current remaining storage capacity of the energy storage device at the beginning of the long period, and set limit parameters for each energy storage pool based on the maximum charge and discharge power and the maximum storage capacity;

[0085] The energy storage pools of the various energy storage devices are connected to each other, and the prediction is started from the first short time segment in the long time segment;

[0086] First, the frequency interaction indexes of the long and short time segments of any two energy storage devices in the first short time segment are accumulated. Then, according to the direction of energy interaction, each energy storage device is sorted by the accumulated frequency interaction index values ​​of the other energy storage devices. At the same time, the average energy interaction amount and average interaction duration of the two energy storage devices in the first short time segment are obtained according to the energy storage device number, thereby obtaining the expected energy storage power or expected load power between the two energy storage devices.

[0087] According to the order of the accumulated values ​​of the frequency interaction index, the expected energy interaction decisions are set between each energy storage device in turn, and each energy interaction decision is marked with the expected energy storage power or expected load power on the energy storage pool. When the accumulated amount of the expected energy storage power or expected load power is greater than or equal to the maximum charge and discharge power, the energy interaction sorting of the energy storage pool on the corresponding energy storage pool is stopped;

[0088] 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;

[0089] An energy valley threshold is set, and at the same time, the energy storage capacity in the energy storage pool is simulated according to the expected energy storage power or expected load power marked on the energy storage pool. If, during the energy storage capacity simulation, the energy storage capacity is greater than or equal to the maximum storage capacity, or the energy storage capacity is less than or equal to the energy valley threshold, the expected energy interaction decision associated with the energy storage pool is adjusted until the energy storage capacity simulation no longer finds that the energy storage capacity is greater than or equal to the maximum storage capacity, or that the energy storage capacity is less than or equal to the energy valley threshold.

[0090] Based on the estimated energy interaction decision generation process of the first short-time segment, the estimated energy interaction decisions of each energy storage pool in subsequent short-time segments are generated in sequence;

[0091] When the generation of the expected energy interaction decisions for all short-time segments is completed, the expected energy interaction decisions are sent to the corresponding on-grid and off-grid nodes according to the energy storage device numbers included in the expected energy interaction decisions.

[0092] Furthermore, step S4 is implemented by the following process:

[0093] After the first short-time segment of the long-time segment begins, each on-grid and off-grid node generates actual energy interaction demands based on actual energy demand for energy interaction. During the interaction of actual energy interaction demands, the real-time status information of the energy storage device is updated at the end of each short-time segment.

[0094] At the same time, based on the changes in real-time status information, the estimated energy interaction decision of each energy storage device is regenerated at the beginning of each short time segment;

[0095] Set multiple state change deviation thresholds. During the execution of 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 judged that all output results are less than the corresponding state change deviation threshold, no operation is performed.

[0096] If any output result is greater than or equal to the corresponding state change deviation threshold, the grid-connected and off-grid nodes of the corresponding energy storage device trigger the off-grid operation and perform inspection and maintenance on the corresponding energy storage device. The off-grid operation includes shutting down the grid-connected unit, starting the off-grid unit, and stopping all current actual energy interaction needs, and sending an off-grid notification to the remaining grid-connected and off-grid nodes;

[0097] An estimated difference threshold is set. When the remaining on-grid and off-grid nodes receive the off-grid notification, they retrieve the corresponding estimated energy interaction decision based on the energy storage device node associated with the on-grid and off-grid node that sent the off-grid notification. If the actual energy interaction demand generation time of the energy storage device 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 estimated 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;

[0098] When the off-grid unit determines that the remaining storage power and various real-time status information have changed based on the sensor unit, the corresponding expected energy interaction decision is retrieved based on the amount of change in the real-time status information and the time of occurrence;

[0099] Then, the energy duration is monitored according to the energy interaction start and end time in the expected 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;

[0100] Repeat the above off-grid operation until the energy storage equipment maintenance is completed and the grid-connected operation is started.

[0101] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents 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 on each energy storage device, respectively. Each sensor is connected to the on-grid and off-grid nodes. The on-grid and off-grid nodes then collect multiple status information of their associated energy storage devices and generate several 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 each energy storage device in different long and short time segments; Step S3: Whenever a long time period begins, each energy storage device is used 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 periods, an expected energy interaction decision is established between each energy storage device; Step S4: Each on-grid and off-grid node generates actual energy interaction demands and performs energy interaction. During the energy interaction process, it is determined whether there are any anomalies in the various status information. Based on the determination results, the on-grid and off-grid nodes with the anomalies are instructed to perform off-grid operations. During the off-grid operations, the expected energy interaction decisions are executed until the status information anomalies are eliminated. The process of obtaining the frequency interaction index between various energy storage devices in different long and short time segments includes: Set an energy interaction timeline for each energy storage device, and overlay all historical energy interaction records of the energy storage device on the energy interaction timeline in units of days; The energy interaction timeline is divided into 365 long time segments, each corresponding to one day. Each long time segment is then divided into several short time segments of 15 minutes. Based on the energy storage device number in the historical energy interaction records, 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. Based on 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; The process of establishing the expected energy interaction decision between various energy storage devices includes: Establish energy storage pools based on the current remaining storage capacity of the energy storage device at the beginning of the long period, and set 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. Then, according to the direction of energy interaction, each energy storage device is sorted by the accumulated value of the frequency interaction index of other energy storage devices, and the expected energy storage power or expected load power between the two energy storage devices is obtained. Set expected energy interaction decisions between each energy storage device, and mark each energy interaction decision with the expected energy storage power or expected load power on the energy storage pool. When the cumulative amount of the expected energy storage power or expected load power is greater than or equal to the maximum charge and discharge power, 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, based on 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 results, thereby generating the expected energy interaction decision of each energy storage pool in the subsequent short time period.

2. The power control method for an energy storage and off-grid integrated device based on Mesh networking according to claim 1, 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 energy interaction instructions, wherein the grid-connected unit also has the function of performing data analysis on historical energy interaction records, thereby generating the expected energy interaction decision and 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 for an energy storage and off-grid integrated device based on Mesh networking according to claim 2, characterized in that: The generation process of the historical energy interaction record includes: Installing multiple sensors on the energy storage device, connecting each sensor to the sensor unit in the on-grid and off-grid nodes, and assigning numbers to 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, the status information including remaining storage capacity, 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 maximum storage capacity of its associated energy storage device through the Internet. Before energy exchange between any two energy storage devices, based on the direction of energy flow, the grid-connected unit in the grid-connected or off-grid node corresponding to the energy storage device that acquires energy sends an energy acquisition request to the grid-connected unit in the other grid-connected or off-grid node. The other grid-connected unit then determines whether to execute the energy acquisition request based on the status information and maximum charge and discharge power of its associated energy storage device. 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 for an energy storage and off-grid integrated device based on Mesh networking according to claim 3 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.

5. The power control method for an energy storage and off-grid integrated device based on Mesh networking according to claim 4 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 requirements based on actual energy demand, 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.

6. The power control method for an energy storage and off-grid integrated device based on Mesh networking according to claim 5, characterized in that: The execution process of the off-grid operation includes: Set an expected difference threshold, and retrieve the corresponding expected energy interaction decision based on the energy storage device node associated with the on-grid and off-grid node that sends the off-grid notification. If the actual energy interaction demand generation time of the energy storage device is within the energy interaction start and end time included in the expected 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 expected 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 based on the sensor unit, the corresponding expected energy interaction decision is retrieved based on the amount of change in the real-time status information and the time of occurrence; Then, the energy duration is monitored according to the start and end time of the energy interaction in the expected 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.

Images