Microgrid networking data processing method, system and electronic equipment for bidirectional charging pile

Abstract

The present invention provides a microgrid networking data processing method and system for a bidirectional charging pile, which relates to a data processing technology. The method comprises the following steps: obtaining a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, dividing the microgrid based on the bidirectional charging and discharging node, and obtaining a corresponding node internal circuit and node external circuit; receiving energy storage devices respectively configured by a user for the node internal circuit, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receiving load devices respectively configured by the user for the node external circuit, monitoring and processing the fixed energy storage devices, the non-fixed energy storage devices and the load devices to obtain monitoring data; obtaining the power consumption habits of the microgrid corresponding to the user, and determining the user use strategy based on the monitoring data and the power consumption habits; dividing and processing the microgrid based on the user use strategy, obtaining a line power supply relationship between the fixed energy storage devices, the non-fixed energy storage devices and the load devices, and outputting a corresponding line display topology.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a method, system and electronic equipment for processing data of a microgrid network of a bidirectional charging pile. Background Art

[0002] The microgrid of bidirectional charging piles is an advanced power network that integrates charging and storage systems and bidirectional charging technology. It can not only realize the one-way power supply from the traditional power grid to load equipment such as electric vehicles, but also support the reverse power supply of distributed energy such as electric vehicles to the power grid, thereby improving energy utilization efficiency, enhancing the stability and reliability of the power grid, and providing strong support for the construction of future smart grids.

[0003] In the existing technology, fixed scheduling strategies are often adopted, and the relationship between users' electricity usage habits, load equipment and energy storage equipment is not taken into account, which makes it difficult for the microgrid to operate in an optimal state, resulting in energy waste and grid instability.

[0004] Therefore, how to dynamically optimize the microgrid based on the electricity usage habits of different users and the relationship between devices, so as to improve the stability of the microgrid and reduce energy loss, has become an urgent problem to be solved. Summary of the invention

[0005] The embodiments of the present invention provide a microgrid networking data processing method, system and electronic device for a bidirectional charging pile, which can dynamically optimize the microgrid according to the electricity usage habits of different users and the relationship between devices, thereby improving the stability of the microgrid and reducing energy loss.

[0006] A first aspect of an embodiment of the present invention provides a method for processing data of a microgrid network of a bidirectional charging pile, comprising:

[0007] Obtain a bidirectional charging and discharging node in the microgrid where the bidirectional charging pile is located, divide the microgrid based on the bidirectional charging and discharging node, and obtain an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node;

[0008] Receiving energy storage devices configured by users for circuits within the nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receiving load devices configured by users for circuits outside the nodes, and monitoring and processing the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data;

[0009] Obtaining the electricity usage habits of the microgrid corresponding to the user, and determining the user's usage strategy based on the monitoring data and the electricity usage habits;

[0010] The microgrid is segmented based on the user usage strategy to obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and the corresponding line display topology is output.

[0011] Optionally, in a possible implementation of the first aspect, the obtaining of the bidirectional charging and discharging nodes in the microgrid where the bidirectional charging pile is located, segmenting the microgrid based on the bidirectional charging and discharging nodes, and obtaining the node internal circuit and node external circuit corresponding to the bidirectional charging and discharging nodes include:

[0012] Determine the mains connection point of the microgrid, and extend the microgrid to all end nodes of the microgrid in sequence based on the mains connection point as the starting point, and stop extending when it is determined that the microgrid is extended to the end node or the bidirectional charging and discharging node;

[0013] Adding a first mark to the line extending to the end node or the bidirectional charging and discharging node, and counting all the lines with the first mark to obtain the node external circuit;

[0014] Again, the bidirectional charging and discharging node is taken as the starting point, and the circuit is extended toward the terminal node until the terminal node is reached and a second mark is added to the corresponding line, and all the lines with the second mark are counted to obtain the circuit within the node.

[0015] Optionally, in a possible implementation of the first aspect, the receiving user configures energy storage devices for the circuit within the node respectively, the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, the receiving user configures load devices for the circuit outside the node respectively, and the fixed energy storage devices, the non-fixed energy storage devices and the load devices are monitored and processed to obtain monitoring data, including:

[0016] Receiving energy storage devices configured by users for circuits in nodes, the energy storage devices at least include fixed energy storage devices such as batteries, and at least non-fixed energy storage devices such as electric vehicles;

[0017] Receiving load devices configured by users for node external circuits, and extracting load tags of the load devices;

[0018] Based on the monitoring and processing of the fixed energy storage device, the non-fixed energy storage device and the load device by the detection unit, the fixed energy storage information, the non-fixed energy storage information and the corresponding load information are obtained.

[0019] Optionally, in a possible implementation of the first aspect, the acquiring the electricity usage habits of the microgrid corresponding to the user, and determining the user usage strategy based on the monitoring data and the electricity usage habits, includes:

[0020] Based on the electricity usage rules in electricity usage habits, the available combination time and available combined power of fixed energy storage information and non-fixed energy storage information are determined and the data is combined to obtain energy storage function information;

[0021] Combine the combined usage time and combined usage power of the load information of the load device to obtain load function information;

[0022] The energy storage function information and the load function information are compared and analyzed to determine the user usage strategy.

[0023] Optionally, in a possible implementation manner of the first aspect, determining the available combined time and available combined power of the fixed energy storage information and the non-fixed energy storage information based on the electricity usage rules in the electricity usage habits and combining the data to obtain the energy storage function information includes:

[0024] Obtaining the fixed energy storage time and fixed energy storage capacity of fixed energy storage equipment in a user-controlled energy storage scenario, and obtaining the non-fixed energy storage time and non-fixed energy storage capacity of non-fixed energy storage equipment in a user-controlled energy storage scenario;

[0025] The fixed energy storage time is divided based on a preset time period to obtain a plurality of fixed energy storage sub-time periods, and fixed energy storage sub-information of the fixed energy storage information in each fixed energy storage sub-time period is counted;

[0026] The non-fixed energy storage time is divided based on a preset time period to obtain a plurality of non-fixed energy storage sub-time periods, and the non-fixed energy storage sub-information of the non-fixed energy storage information in each non-fixed energy storage sub-time period is counted;

[0027] The energy storage function information is obtained based on the combination of the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period.

[0028] Optionally, in a possible implementation manner of the first aspect, the obtaining the energy storage function information based on the combination of the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period includes:

[0029] A corresponding function coordinate system is constructed based on a preset time period, wherein the abscissa of the function coordinate system is a plurality of periodic points corresponding to the preset time period, and each periodic point corresponds to a fixed energy storage sub-time period and a non-fixed energy storage sub-time period;

[0030] Determine a fixed coordinate point based on the periodic point and the fixed energy storage sub-information corresponding to each fixed energy storage sub-time period, and determine a non-fixed coordinate point based on the periodic point and the non-fixed energy storage sub-information corresponding to each non-fixed energy storage sub-time period;

[0031] Adding the fixed energy storage sub-information and the non-fixed energy storage sub-information corresponding to the same periodic point to obtain the combined sub-information and determine the combined coordinate point;

[0032] The energy storage function information is obtained based on the combination of fixed coordinate points, non-fixed coordinate points and combined coordinate points.

[0033] Optionally, in a possible implementation manner of the first aspect, obtaining the energy storage function information based on the fixed coordinate points, the non-fixed coordinate points and the combined coordinate points includes:

[0034] Connecting all fixed coordinate points based on the first connecting line to obtain a fixed energy storage sub-function;

[0035] Connecting all non-fixed coordinate points based on the second connecting line to obtain a non-fixed energy storage sub-function;

[0036] Connect all the combined coordinate points based on the third connecting line to obtain a combined energy storage sub-function;

[0037] The fixed coordinate point, the non-fixed coordinate point and the combined coordinate point are respectively configured as optional midpoints, and the energy storage function information is obtained based on the fixed energy storage sub-function, the non-fixed energy storage sub-function and the combined energy storage sub-function.

[0038] Optionally, in a possible implementation of the first aspect, the method further includes:

[0039] Taking the current time as the starting point, determine all the acquisition time points within the acquisition time period, and obtain the energy storage function information of each acquisition time point. The time of each acquisition time point is 1 day.

[0040] Calculate the combined difference of the combined coordinate points of all energy storage function information at each same period point, and determine the point with the largest combined difference as the numerical offset point;

[0041] Obtain the energy storage function information of all acquisition time points and calculate the average value to obtain the energy storage function information after the average calculation, and obtain the power difference value according to the difference between the power information of the combined coordinate point corresponding to the energy storage function information and the power information of the combined coordinate point corresponding to the energy storage function information after the average calculation at the same period point;

[0042] If it is determined that the power difference is greater than a preset difference, the corresponding combined coordinate point is used as a coordinate offset point;

[0043] If it is determined that a coordinate offset point is not directly connected to other coordinate offset points, the coordinate offset point is magnified by a preset multiple and connected to the starting point and the adjacent combined coordinate points;

[0044] Based on the first pixel value of the coordinate offset point, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset point and the combined coordinate point, the pixel value of each pixel in the connecting line between the coordinate offset point and the combined coordinate point is determined, and the pixel values ​​from the coordinate offset point to the combined coordinate point show a gradient change.

[0045] Optionally, in a possible implementation of the first aspect, the method further includes:

[0046] If it is determined that a coordinate offset point is directly connected to other coordinate offset points, the adjacent coordinate offset points are connected to obtain a coordinate offset line, and the endpoints on both sides of the coordinate offset line are determined to obtain two coordinate offset endpoints;

[0047] After the coordinate offset endpoints are magnified by a preset multiple, they are respectively used as starting points to connect with adjacent combined coordinate points;

[0048] Based on the first pixel value of the coordinate offset endpoint, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset endpoint and the combined coordinate point, the pixel value of each pixel point in the connecting line between the coordinate offset endpoint and the combined coordinate point is determined, and the pixel values ​​from the coordinate offset endpoint to the combined coordinate point show a gradient change.

[0049] Optionally, in a possible implementation manner of the first aspect, combining the combined usage time and the combined usage power of the load information of the load device to obtain the load function information includes:

[0050] Obtain the load power usage and load usage time of the load device in the user-controlled usage scenario;

[0051] The load usage time is divided based on a preset time period to obtain multiple load usage sub-time periods, and the load usage sub-power in each load usage sub-time period is counted;

[0052] The load function information is obtained based on the load usage sub-power quantity in each load usage sub-time period.

[0053] Optionally, in a possible implementation manner of the first aspect, comparing and analyzing the energy storage function information and the load function information to determine the user usage strategy includes:

[0054] Determine the load power coordinate point corresponding to each load usage sub-power in the load function information;

[0055] Compare the energy storage function information with the load function information at the same time, obtain the combined coordinate point in the discharge state and the load power coordinate point at the same time, and perform difference calculation to obtain the power difference;

[0056] If the electric energy difference is less than or equal to 0, then the time of generating the combined electric energy usage habit at all corresponding moments is counted;

[0057] If the electric energy difference is greater than 0, then the time of generating the reverse electricity usage habit at all corresponding moments is counted;

[0058] Determine the time corresponding to the combined coordinate point in the charging state, and obtain the time of positive power consumption habits.

[0059] Optionally, in a possible implementation of the first aspect, the segmentation of the microgrid based on the user usage strategy is performed to obtain a line power supply relationship between a fixed energy storage device, a non-fixed energy storage device, and a load device, and a corresponding line display topology is output, including:

[0060] Determine the load equipment corresponding to the time of combined power usage habits and the time of reverse power usage habits as reverse direct supply equipment;

[0061] Taking the bidirectional charging and discharging node as the starting point, a line directly corresponding to the reverse direct supply device is established to obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and the corresponding line display topology is output.

[0062] A second aspect of an embodiment of the present invention provides a microgrid networking data processing system for a bidirectional charging pile, comprising:

[0063] An acquisition module is used to acquire a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, and divide the microgrid based on the bidirectional charging and discharging node to obtain an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node;

[0064] A monitoring module is used to receive energy storage devices configured by users for circuits within nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receive load devices configured by users for circuits outside nodes, and monitor and process the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data;

[0065] A determination module, used to obtain the power usage habits of the microgrid corresponding to the user, and determine the user's usage strategy based on the monitoring data and the power usage habits;

[0066] The output module is used to segment the microgrid based on the user usage strategy, obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and output the corresponding line display topology.

[0067] According to a third aspect of the present invention, there is provided an electronic device, comprising: a memory, a processor and a computer program, wherein the computer program is stored in the memory, and the processor runs the computer program to execute the first aspect of the present invention and various methods that may be involved in the first aspect.

[0068] The beneficial effects of the present invention are as follows:

[0069] 1. The present invention accurately obtains the bidirectional charging and discharging nodes in the microgrid where the bidirectional charging pile is located, and effectively divides the microgrid based on these nodes, clarifying the division of the circuit inside the node and the circuit outside the node. This innovative method makes the management of the microgrid more refined, and can be dynamically optimized according to the electricity usage habits and equipment relationships of different users. By real-time monitoring of the operating data of energy storage equipment and load equipment, combined with the user's electricity usage habits, the present invention can formulate a more reasonable user usage strategy, thereby significantly improving the operating efficiency and stability of the microgrid and reducing unnecessary energy loss.

[0070] 2. The present invention not only takes into account the user's electricity usage habits, but also deeply analyzes the charging and discharging rules of energy storage devices (including fixed energy storage devices and non-fixed energy storage devices). By carefully combining and processing the fixed energy storage information and non-fixed energy storage information, the energy storage function information is obtained. This information can accurately reflect the available combination time and power of the energy storage device in different time periods. On this basis, the present invention can intelligently adjust the charging and discharging strategy of the energy storage device to match the electricity demand of the load device, so as to store energy during the low electricity price period and discharge during the peak period to achieve the optimal configuration of energy. This method not only improves the energy utilization efficiency, but also significantly reduces energy waste.

[0071] 3. The present invention also provides a microgrid segmentation processing method based on user usage strategy, which can clearly display the line power supply relationship between fixed energy storage equipment, non-fixed energy storage equipment and load equipment, and present it to the user in the form of a line display topology. This visual management method not only enhances the intelligence level of the power grid, but also enables users to intuitively understand the operating status of the microgrid, facilitating more scientific and reasonable electricity planning. At the same time, the present invention can also flexibly adjust and optimize the power grid according to actual needs, further improving the reliability and stability of the power grid, and providing strong support for the future construction of smart grids. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] Figure 1 A flow chart of a method for processing microgrid network data of a bidirectional charging pile provided by the present invention;

[0073] Figure 2 A schematic diagram of the structure of a microgrid networking data processing device for a bidirectional charging pile provided by the present invention;

[0074] Figure 3 A schematic diagram of the hardware structure of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in sequences other than those illustrated or described herein.

[0077] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0078] It should be understood that in the present invention, "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0079] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0080] It should be understood that in the present invention, "B corresponding to A", "B corresponding to A", "A corresponds to B" or "B corresponds to A" means that B is associated with A and B can be determined based on A. Determining B based on A does not mean determining B based only on A, but B can also be determined based on A and / or other information. A and B match when the similarity between A and B is greater than or equal to a preset threshold.

[0081] Depending on the context, "if" as used herein may be interpreted as "when" or "when" or "in response to determining" or "in response to detecting."

[0082] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0083] The present invention provides a method for processing data of a microgrid network of a bidirectional charging pile, such as Figure 1 As shown, steps S1-S4 are included:

[0084] S1, obtaining a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, dividing the microgrid based on the bidirectional charging and discharging node, and obtaining an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node.

[0085] Among them, the bidirectional charging pile is a charging pile that can be used for both charging and discharging, and the microgrid refers to a small power distribution system composed of distributed power sources, energy storage devices, energy conversion devices, loads, monitoring, etc., which is equivalent to a small power grid. For example, a household power grid can be a microgrid, that is, a household power network connected to a node powered by the mains. The bidirectional charging and discharging node is the node where the bidirectional charging pile is located in the microgrid.

[0086] It should be noted that the circuit connected to the bidirectional charging and discharging node itself is a circuit for charging and discharging energy storage devices, such as batteries, electric vehicles, etc., while the remaining externally connected circuits are load circuits, such as light bulbs, water heaters and other electrical equipment in the home power grid.

[0087] Therefore, the server will obtain the bidirectional charging and discharging nodes in the microgrid where the bidirectional charging pile is located, and then divide the microgrid based on the bidirectional charging and discharging nodes to obtain the intra-node circuit and the extra-node circuit corresponding to the bidirectional charging and discharging nodes. The intra-node circuit is a circuit that extends from the bidirectional charging and discharging node as the starting point to the end node, and the extra-node circuit is a circuit in the microgrid except the intra-node circuit.

[0088] In some embodiments, step S1 (obtaining a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, dividing the microgrid based on the bidirectional charging and discharging node, and obtaining an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node) includes S11-S13:

[0089] S11, determining the mains connection point of the microgrid, and extending to all end nodes of the microgrid in sequence based on the mains connection point as the starting point, and stopping the extension when it is determined that the extension reaches the end node or the bidirectional charging and discharging node.

[0090] Among them, the mains connection point is the grid connection point where the microgrid is connected to the mains network.

[0091] It is not difficult to understand that the lines connected to the bidirectional charging and discharging nodes are lines that can be charged and discharged, while the remaining lines in the microgrid are load lines that need to consume electrical energy.

[0092] Therefore, the present invention will first determine the mains connection point of the microgrid, and then extend it to all the end nodes of the microgrid in sequence from the mains connection point as the starting point, that is, in the direction of the mains power supply, extend it to all the power-consuming devices in the microgrid line until it reaches the end node, such as the power socket corresponding to the power-consuming devices such as electric lights, or when it extends to the bidirectional charging and discharging node, it stops extending, and the traversal of all the power-consuming device circuits will be completed at this time. Among them, the end node corresponding to the mains connection point as the starting point can be the power socket corresponding to the power supply device.

[0093] S12, adding a first mark to the line extending to the end node or the bidirectional charging and discharging node, and counting all the lines with the first mark to obtain the node external circuit.

[0094] It is understandable that the server will add a first mark to the line starting from the mains connection point and extending to the end node or the bidirectional charging and discharging node, and count all the lines with the first mark to obtain the node external circuit.

[0095] S13, again taking the bidirectional charging and discharging node as the starting point, extending toward the end node until reaching the end node and adding a second mark to the corresponding line, and counting all the lines with the second mark to obtain the circuit within the node.

[0096] It can be understood that the bidirectional charging and discharging node will be used as the starting point, extending toward the end node until the end node is reached and a second mark is added to the corresponding line, that is, the bidirectional charging and discharging node will be used as the starting point to add a second mark to the circuit that supplies power to energy storage devices such as batteries and electric vehicles, wherein the end node corresponding to the bidirectional charging and discharging node as the starting point can be the conversion socket corresponding to charging and discharging.

[0097] Subsequently, all second-marked lines are counted to obtain the intra-node circuit.

[0098] S2, receiving energy storage devices configured by users for circuits within the node, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receiving load devices configured by users for circuits outside the node, and monitoring and processing the fixed energy storage devices, non-fixed energy storage devices and load devices to obtain monitoring data.

[0099] Among them, the energy storage device can be a device that can be charged and discharged, such as a battery, an electric vehicle, etc. The energy storage device includes a fixed energy storage device, such as a battery, and a non-fixed energy storage device, such as an electric vehicle.

[0100] Furthermore, the server will receive the load devices configured by the user for the node external circuit, monitor and process the fixed energy storage device, the non-fixed energy storage device and the load device to obtain monitoring data.

[0101] In some embodiments, step S2 (receiving energy storage devices configured by users for circuits within nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receiving load devices configured by users for circuits outside nodes, and monitoring and processing the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data) includes S21-S23:

[0102] S21, receiving energy storage devices configured by users for circuits within nodes, wherein the energy storage devices include at least a fixed energy storage device such as a battery and at least a non-fixed energy storage device such as an electric vehicle.

[0103] It is not difficult to understand that the circuit within the node is a circuit that can be charged and discharged. Therefore, the server will receive the energy storage devices configured by the user for the circuit within the node respectively. The energy storage devices include at least a fixed energy storage device such as a battery, and at least a non-fixed energy storage device such as an electric vehicle.

[0104] S22, receiving the load devices configured by the user for the node external circuits respectively, and extracting the load tags of the load devices.

[0105] It is not difficult to understand that, similarly, users will configure corresponding load devices for the external circuit of the node, such as household electrical appliances, electric lights, computers and other equipment, and will extract the load tags of each load device. Each load device has a corresponding device tag, such as device 1, device 2. The power consumption of the corresponding load device can be determined based on the device tag. The load tag is the tag corresponding to each load. Users can then determine the power consumption of each load based on the load tag, and make targeted adjustments.

[0106] S23, based on the monitoring and processing of the fixed energy storage device, the non-fixed energy storage device and the load device by the detection unit, the fixed energy storage information, the non-fixed energy storage information and the corresponding load information are obtained.

[0107] It is not difficult to understand that the fixed energy storage device, non-fixed energy storage device and load device will be monitored and processed by the detection unit in the future to obtain fixed energy storage information, non-fixed energy storage information and corresponding load information. For example, the detection unit can be a sensor to monitor the power consumption and discharge of each device. Among them, the load information is the power usage information of the fixed energy storage device, non-fixed energy storage device and load device.

[0108] S3, obtaining the electricity usage habits of the microgrid corresponding to the user, and determining the user's usage strategy based on the monitoring data and the electricity usage habits.

[0109] It should be noted that traditional microgrids often adopt fixed scheduling strategies, which do not take into account the relationship between users' electricity usage habits, load equipment and energy storage equipment, making it difficult for the microgrid to operate in an optimal state.

[0110] Therefore, the present invention will obtain the electricity usage habits of the microgrid corresponding to the user, and subsequently determine the user's usage strategy based on the monitoring data and the electricity usage habits.

[0111] In some embodiments, step S3 (obtaining the user's electricity usage habits of the corresponding microgrid, and determining the user's usage strategy based on the monitoring data and the electricity usage habits) includes S31-S33:

[0112] S31, based on the electricity usage rules in the electricity usage habits, determine the available combination time and available combination power of the fixed energy storage information and the non-fixed energy storage information and combine the data to obtain energy storage function information.

[0113] It should be noted that bidirectional charging piles can charge and discharge, for example, charging energy storage devices during off-peak hours when electricity prices are low, and discharging energy storage devices during peak hours when electricity prices are high. Therefore, for bidirectional charging and discharging nodes in a microgrid, only charging or discharging can be performed during the corresponding period.

[0114] Moreover, different users have different work and life schedules. Therefore, the time periods for using electric vehicles are different, and the time periods for subsequent parking and discharging are also different. Different users have different charging and discharging habits.

[0115] The available combined time is the time available for discharge, and the available combined power is the power discharged within the time available for discharge.

[0116] Therefore, the present invention determines the available combined time and available combined power of fixed energy storage information and non-fixed energy storage information based on the power usage pattern in the power usage habit, and combines the data to obtain the energy storage function information. That is, the discharge amount of the energy storage device in each time period is statistically combined to obtain the energy storage function information, wherein the power usage pattern can be the user's power usage habits during the discharge of the energy storage device.

[0117] In some embodiments, step S31 (determining the available combined time and available combined power of fixed energy storage information and non-fixed energy storage information based on the electricity usage rules in the electricity usage habits and combining the data to obtain energy storage function information) includes S311-S314:

[0118] S311, obtaining a fixed energy storage time and a fixed energy storage capacity of a fixed energy storage device in a user-controlled energy storage scenario, and obtaining a non-fixed energy storage time and a non-fixed energy storage capacity of a non-fixed energy storage device in a user-controlled energy storage scenario.

[0119] It is understandable that the server will obtain the fixed energy storage time and fixed energy storage capacity of the fixed energy storage device in the user-controlled energy storage scenario, that is, it will obtain the discharge time and corresponding discharge capacity of the fixed energy storage device in the microgrid based on the user's habits.

[0120] For example, based on the user's habit of discharging the microgrid through the battery from 9 am to 9 pm, the fixed energy storage time is from 9 am to 9 pm, and the amount of electricity discharged by the battery from 9 am to 9 pm is the fixed energy storage amount.

[0121] Similarly, the non-fixed energy storage time and non-fixed energy storage capacity of non-fixed energy storage equipment in the user-controlled energy storage scenario will be obtained. That is, the discharge time and corresponding discharge capacity of non-fixed energy storage equipment in the microgrid will be obtained based on the user's habits.

[0122] Through the above implementation, the present invention can discharge the power grid during peak hours and charge the energy storage device during low hours, thereby improving the stability of the power grid and reducing expenditure.

[0123] S312, dividing the fixed energy storage time based on a preset time period to obtain a plurality of fixed energy storage sub-time periods, and counting the fixed energy storage sub-information of the fixed energy storage information in each fixed energy storage sub-time period.

[0124] The preset time period may be a time period preset manually, for example, 1 hour.

[0125] Therefore, the present invention divides the fixed energy storage time based on a preset time period to obtain multiple fixed energy storage sub-time periods. For example, 9 am to 9 pm is divided into 1 hour to obtain 12 time periods.

[0126] Subsequently, the fixed energy storage information in each fixed energy storage sub-time period will be counted, that is, the discharge amount corresponding to each fixed energy storage sub-time period will be counted, for example, the discharge amount of the battery from 9 am to 10 am.

[0127] S313, dividing the non-fixed energy storage time based on a preset time period to obtain a plurality of non-fixed energy storage sub-time periods, and counting the non-fixed energy storage sub-information of the non-fixed energy storage information in each non-fixed energy storage sub-time period.

[0128] It is understandable that, similar to the principle of step S312, the present invention divides the non-fixed energy storage time based on the preset time period to obtain multiple non-fixed energy storage sub-time periods, and counts the non-fixed energy storage information in each non-fixed energy storage sub-time period. That is, the discharge amount of the electric vehicle in each non-fixed energy storage sub-time period can be obtained later.

[0129] S314, obtaining energy storage function information based on the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period.

[0130] It is understandable that the subsequent server will combine the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period to obtain the energy storage function information. That is, the power consumption corresponding to each time period will be combined and connected to obtain the energy storage function information.

[0131] In some embodiments, step S314 (obtaining energy storage function information based on the combination of fixed energy storage sub-information in each fixed energy storage sub-time period and non-fixed energy storage sub-information in each non-fixed energy storage sub-time period) includes S3141-S3144:

[0132] S3141, constructing a corresponding function coordinate system based on a preset time period, wherein the horizontal coordinate of the function coordinate system is a plurality of periodic points corresponding to the preset time period, and each periodic point corresponds to a fixed energy storage sub-time period and a non-fixed energy storage sub-time period.

[0133] It is understandable that the server will construct a corresponding function coordinate system based on a preset time period, wherein the horizontal coordinate of the function coordinate system is a plurality of periodic points corresponding to the preset time period, for example, 24 periodic points, 24 hours a day, so a periodic point corresponding to each hour will be constructed in the function coordinate system. Each periodic point corresponds to a fixed energy storage sub-time period and a non-fixed energy storage sub-time period. It is not difficult to understand that in 24 hours a day, for the discharge of batteries and electric vehicles, there may be a time period when both discharge at the same time. If there is no discharge, the discharge amount corresponding to the time period can be 0, and the vertical coordinate of the function coordinate system can be the amount of electricity.

[0134] S3142, determining a fixed coordinate point based on the periodic point and the fixed energy storage sub-information corresponding to each fixed energy storage sub-time period, and determining a non-fixed coordinate point based on the periodic point and the non-fixed energy storage sub-information corresponding to each non-fixed energy storage sub-time period.

[0135] It is understandable that the server will determine the fixed coordinate point based on the periodic point and fixed energy storage sub-information corresponding to each fixed energy storage sub-time period. For example, if the discharge amount from 9 am to 10 am is 10 KWh, then the fixed coordinate point is determined at the position of 10 o'clock on the horizontal axis and the position of 10 KWh on the vertical axis. Similarly, the server will determine the non-fixed coordinate point based on the periodic point and non-fixed energy storage sub-information corresponding to each non-fixed energy storage sub-time period.

[0136] S3143, adding the fixed energy storage sub-information and the non-fixed energy storage sub-information corresponding to the same periodic point to obtain the combined sub-information and determine the combined coordinate point.

[0137] It is understandable that the server will add the fixed energy storage sub-information and non-fixed energy storage sub-information of the same period point to obtain the combined sub-information and determine the combined coordinate point. For example, the fixed energy storage sub-information and non-fixed energy storage sub-information at the position of the horizontal coordinate 10 are added to obtain the combined sub-information. For example, if the electric vehicle discharge is also 10KWh, the combined sub-information is 20, and the combined coordinate point is determined based on the horizontal coordinate 10 and the vertical coordinate 20.

[0138] S3144, obtaining energy storage function information based on the fixed coordinate points, the non-fixed coordinate points and the combined coordinate points.

[0139] It is not difficult to understand that the server will obtain energy storage function information based on fixed coordinate points, non-fixed coordinate points and combined coordinate points, that is, the energy storage function information is obtained by displaying three discharge curves in the coordinate system at the same time, and the discharge curves of the combination, battery and electric vehicle will be displayed at the same time.

[0140] In some embodiments, step S3144 (obtaining energy storage function information based on fixed coordinate points, non-fixed coordinate points and combined coordinate points) includes:

[0141] All fixed coordinate points are connected based on the first connecting line to obtain a fixed energy storage sub-function.

[0142] It is not difficult to understand that the fixed coordinate point may be a discharge coordinate point corresponding to the battery, and thus the fixed coordinate point is connected based on the first connecting line to obtain a fixed energy storage sub-function.

[0143] All non-fixed coordinate points are connected based on the second connecting line to obtain a non-fixed energy storage sub-function.

[0144] It is not difficult to understand that the non-fixed coordinate point may be a discharge coordinate point corresponding to the electric vehicle, and thus the non-fixed coordinate point is connected based on the second connecting line to obtain a non-fixed energy storage sub-function.

[0145] All the combined coordinate points are connected based on the third connecting line to obtain the combined energy storage sub-function.

[0146] It is not difficult to understand that, consistent with the principle of determining the fixed energy storage sub-function and the non-fixed energy storage sub-function, all the combined coordinate points are connected based on the third connecting line to obtain the combined energy storage sub-function.

[0147] The fixed coordinate point, the non-fixed coordinate point and the combined coordinate point are respectively configured as optional midpoints, and the energy storage function information is obtained based on the fixed energy storage sub-function, the non-fixed energy storage sub-function and the combined energy storage sub-function.

[0148] It should be noted that the fixed coordinate points, non-fixed coordinate points and combined coordinate points are all discharge conditions of energy storage devices under the user's electricity usage habits, and the electricity usage conditions are relatively regular. Therefore, the present invention will configure the fixed coordinate points, non-fixed coordinate points and combined coordinate points as optional midpoints, that is, they are all set as points that can be adjusted. The discharge amount corresponding to each periodic point can be adjusted later according to the needs of personnel, that is, the user views the predicted changes that adapt to their own needs. If one of the coordinate points in the history is adjusted, the other one or more coordinate points will also be adjusted according to the original function, so that the entire change situation can be seen. It can also be that the user selects several corresponding periodic points to customize and move down according to their own needs to reduce the discharge amount. In the subsequent operation process, the discharge amount set by the user can be limited.

[0149] It can be understood that the server configures the fixed coordinate points, non-fixed coordinate points and combined coordinate points as optional midpoints, respectively, wherein the optional midpoint is an adjustable coordinate point, that is, the user can adjust and view each coordinate point by himself, and obtain energy storage function information based on the fixed energy storage sub-function, non-fixed energy storage sub-function and combined energy storage sub-function.

[0150] Based on the above embodiment, it also includes A1-A6:

[0151] A1, taking the current time as the starting point, determine all the collection time points within the collection time period, obtain the energy storage function information of each collection time point, and the time of each collection time point is 1 day.

[0152] The collection time period is the number of historical collection days, for example, 3 days, today, yesterday and the day before yesterday. The current time can be today.

[0153] Therefore, the server will determine all the collection time points within the collection time period with the current time as the starting point, and obtain the energy storage function information of each collection time point, that is, obtain the energy storage function curve for 3 days, wherein each collection time point is 1 day.

[0154] A2, calculating the combined difference of the combined coordinate points of all energy storage function information at each same period point, and determining the point with the largest combined difference as the numerical offset point.

[0155] It is understandable that the server will calculate the combined difference of the combined coordinate points of all energy storage function information at each same cycle point, and determine the point with the largest combined difference as the numerical offset point of power differentiation. That is, the combined coordinate point with the largest difference in discharge amount within 3 days is calculated as the offset point of power differentiation with the largest numerical difference, that is, the present invention will show the user the offset point with the largest numerical change in power within a period of time.

[0156] A3, obtain the energy storage function information of all acquisition time points and calculate the average to obtain the energy storage function information after the average calculation, and obtain the power difference according to the difference between the power information of the combined coordinate point corresponding to the energy storage function information and the power information of the combined coordinate point corresponding to the energy storage function information after the average calculation at the same period point.

[0157] It is understandable that the server will obtain the energy storage function information of all acquisition time points and calculate the average to obtain the energy storage function information after the average calculation, that is, the discharge amount corresponding to each cycle point within 3 days is averaged and connected to obtain the energy storage function information after the average calculation.

[0158] Subsequently, at the same period point, the power difference is obtained according to the difference between the power information of the combined coordinate points corresponding to the energy storage function information and the power information of the combined coordinate points corresponding to the energy storage function information after the average calculation.

[0159] A4, if it is determined that the power difference is greater than a preset difference, the corresponding combined coordinate point is used as a coordinate offset point.

[0160] The preset difference is a difference set manually in advance, such as 20 kWh.

[0161] It is understandable that the server will preset a difference, such as 20kWh, and if it is determined that the power difference is greater than the preset difference, the combined coordinate point corresponding to the corresponding energy storage function information will be used as the offset point. That is, the offset point on the coordinate system will be determined among all the combined coordinate points in the energy storage function information, that is, when the power information of the energy storage function information at the periodic point corresponding to a certain collection time period is too different from the average power information, the combined coordinate point will be used as the coordinate offset point.

[0162] A5, if it is determined that a coordinate offset point is not directly connected to other coordinate offset points, the coordinate offset point is magnified by a preset multiple and connected to the starting point and the adjacent combined coordinate points.

[0163] It should be noted that the present invention then finds that the difference between the coordinate offset point and the average power value is large. Then there will be a problem of large fluctuations at this time point, so it is amplified. After amplification, it is connected with the points of adjacent time to highlight the display, so that personnel can directly check that the power grid at this time point is unstable and the power demand is large. Then the subsequent personnel can add battery storage power, and then ensure that even when the deviation is relatively large, I can still use cheap electricity or save electricity.

[0164] It is understandable that if a coordinate offset point is not directly connected to other coordinate offset points, it means that the deviation is large only at this hour, and there is no large deviation at adjacent times. Therefore, the invention will magnify the offset point by a preset multiple to connect the starting point with the adjacent combined coordinate points to achieve a prominent display of the time point.

[0165] A6, based on the first pixel value of the coordinate offset point, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset point and the combined coordinate point, determine the pixel value of each pixel point in the connecting line between the coordinate offset point and the combined coordinate point, and the pixel value from the coordinate offset point to the combined coordinate point shows a gradient change.

[0166] It can be understood that the coordinate offset point is the amount of electricity corresponding to a time period. It also shows that the deviation of electricity consumption in this time period is large, but the adjacent time is normal, that is, the coordinate offset point is an irregular behavior, then we can set this point to red at this time. The adjacent combined coordinate points are set to normal green. Normally, the difference between electricity consumption and the surrounding time will not be too large. Therefore, the connection line between the red coordinate offset point and the green combined coordinate point can be a gradually changing color, that is, it can gradually fade from red to green, thereby realizing the color change function of the connecting line.

[0167] Subsequently, the user can actively move the coordinate offset point to make it close to the adjacent combined coordinate point. The closer it is to the adjacent combined coordinate point, the color of the connecting line will gradually change from red to green. That is, the pixel value from the coordinate offset point to the combined coordinate point changes in a gradient.

[0168] Among them, the first pixel value and the second pixel value are both artificially pre-set pixel values, which are convenient for personnel to intuitively view and distinguish between normal time periods and abnormal time periods. Then, based on the number of pixel points in the connecting line between the coordinate offset point and the combined coordinate point, the pixel value of each pixel point in the connecting line between the coordinate offset point and the combined coordinate point is determined respectively.

[0169] For example, if the RGB value difference between the first pixel value and the second pixel value is an RGB set value, and the number of pixels is 100, then each RGB element in the corresponding RGB set value is divided by 100 to obtain the color difference group between the pixel values ​​of two adjacent pixels. According to the corresponding color difference group and the positional relationship between each pixel and the offset endpoint or the combined coordinate point, the pixel value corresponding to each pixel between the offset endpoint and the combined coordinate point can be obtained. For example, the R value of the offset endpoint coordinate is , G value is , B value is , the R value of the combined coordinate point is , G value is , B value is , then the RGB set value is , the color difference group is , then the pixel value of the coordinate point adjacent to the offset endpoint is , and then gradually decrease, making the color change gradually. When the subsequent personnel move the coordinate offset point close to the adjacent combined coordinate point, it will gradually turn green and return to normal.

[0170] Based on the above embodiment, A7-A9 are also included:

[0171] A7, if it is determined that a coordinate offset point is directly connected to other coordinate offset points, the adjacent coordinate offset points are connected to obtain a coordinate offset line, and the endpoints on both sides of the coordinate offset line are determined to obtain two coordinate offset endpoints.

[0172] It is not difficult to understand that if a coordinate offset point is judged to be directly connected to other coordinate offset points, it means that the positions of the coordinate offset points corresponding to adjacent times are all deviated greatly. At this time, the adjacent coordinate offset points are connected to obtain a coordinate offset line, and the endpoints on both sides of the coordinate offset line are determined to obtain two offset endpoints.

[0173] A8, after respectively magnifying the coordinate offset endpoints by a preset multiple, respectively use them as starting points to connect with adjacent combined coordinate points.

[0174] It is understandable that after the offset endpoints are magnified by a preset multiple, they are respectively used as starting points to connect with adjacent combined coordinate points. Similar to the previous steps, it is to facilitate personnel to check the abnormal time period.

[0175] A9, based on the first pixel value of the coordinate offset endpoint, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset endpoint and the combined coordinate point, determine the pixel value of each pixel point in the connecting line between the coordinate offset endpoint and the combined coordinate point, and the pixel value from the coordinate offset endpoint to the combined coordinate point shows a gradient change.

[0176] Similarly, consistent with the principle of step A6, in order to reflect the abnormal time period and facilitate the subsequent increase in the storage capacity of the corresponding time period, or to save electricity in the time period, that is, to save electricity or increase the storage capacity, the pixel value of each pixel point in the connecting line between the offset point and the combined coordinate point is determined by the first pixel value of the offset endpoint, the second pixel value of the combined coordinate point, and the number of pixels between the offset endpoint and the combined coordinate point. The pixel value from the offset point to the combined coordinate point changes in a gradient to achieve a gradual color display, thereby returning to normal. For example, the RGB value difference between the first pixel value and the second pixel value is an RGB set value, and the number of pixels is 100 at this time, then each RGB element in the corresponding RGB set value is divided by 100 to obtain the color difference group between the pixel values ​​of two adjacent pixels, and the corresponding color difference group and the positional relationship between each pixel point and the offset endpoint or the combined coordinate point are calculated. At this time, the pixel value corresponding to each pixel point between the offset endpoint and the combined coordinate point will be obtained. For example, the R value of the offset endpoint coordinate is , G value is , B value is , the R value of the combined coordinate point is , G value is , B value is , then the RGB set value is , the color difference group is , then the pixel value of the coordinate point adjacent to the offset endpoint is .

[0177] S32, combining the combined usage time and combined usage power of the load information of the load device to obtain load function information.

[0178] It can be understood that, similar to the principle of step S31, the server will combine the combined usage time and combined usage power of the load information of the load device to obtain the load function information. That is, the time of the load device's usage power and the power used in the same time period are combined to obtain the load function information.

[0179] In some embodiments, step S32 (combining the combined usage time and combined usage power of the load information of the load device to obtain load function information) includes S321-S323:

[0180] S321, obtaining load power usage and load usage time of the load device in a user-controlled usage scenario.

[0181] It can be understood that, consistent with the principle of step S311, the load power usage and load usage time of the load device in the user-controlled usage scenario are obtained, that is, the time when the load is used and the power consumption corresponding to the corresponding time. In the user-controlled usage scenario, that is, under user habits, the load power usage is the power used by the load, and the load usage time is the time when the load uses power.

[0182] S322, dividing the load usage time based on a preset time period to obtain a plurality of load usage sub-time periods, and counting the load usage sub-power in each load usage sub-time period.

[0183] It can be understood that, consistent with the previous segmentation method, the server will segment the load usage time based on the preset time period to obtain multiple load usage sub-time periods, and count the load usage sub-power in each load usage sub-time period, that is, obtain the load power consumption corresponding to each hour for 24 hours.

[0184] S323: Obtain load function information based on the load usage sub-power in each load usage sub-time period.

[0185] It can be understood that, consistent with the previous method of determining the energy storage function information, the function curve is directly constructed through the power consumption and time point, so that the load function information can be obtained based on the load usage sub-power in each load usage sub-time period.

[0186] S33, comparing and analyzing the energy storage function information and the load function information to determine the user usage strategy.

[0187] It is understandable that the server can compare and analyze the energy storage function information and the load function information to determine the user usage strategy.

[0188] In some embodiments, step S33 (comparing and analyzing the energy storage function information and the load function information to determine the user usage strategy) includes S331-S335:

[0189] S331, determining the load power coordinate point corresponding to each load usage sub-power in the load function information.

[0190] It is understandable that the server will determine the load power coordinate point corresponding to each load power usage sub-power in the load function information, that is, the power usage corresponding to the time.

[0191] S332, comparing the energy storage function information with the load function information at the same time, obtaining the combined coordinate point in the discharge state and the load power coordinate point at the same time, and performing difference calculation to obtain the power difference.

[0192] It is understandable that the server will compare the energy storage function information with the load function information at the same time, obtain the combined coordinate point in the discharge state and the load power coordinate point at the same time, and perform difference calculation to obtain the power difference. That is, the total discharge and total power consumption are calculated to obtain the power difference.

[0193] S333: If the electric energy difference is less than or equal to 0, the time of generating the combined electricity usage habit at all corresponding moments is counted.

[0194] It can be understood that if the electric energy difference is less than or equal to 0, it means that the load power consumption is large and the power supply is insufficient, which means that additional AC power is needed at this time. Then, the time of the combined power consumption habit is generated by counting all the corresponding moments, where the time of the combined power consumption habit is the time corresponding to the combined power supply.

[0195] S334: If the electric energy difference is greater than 0, the time for generating the reverse electricity usage habit at all corresponding moments is counted.

[0196] It is not difficult to understand that if the electric energy difference is greater than 0, it means that the load power consumption is small and the power supply is sufficient, which means that no additional AC power is needed at this time. Then, the time of generating reverse power consumption habits at all corresponding moments is counted, among which, the time of reverse power consumption habits is the time when the power supply is in the direction, not supplied by the AC power, and can even be connected to the AC power grid for power supply.

[0197] S335, determining the time corresponding to the combined coordinate point in the charging state, and obtaining the time of the positive power usage habit.

[0198] It can be understood that the time corresponding to the combined coordinate point in the charging state, that is, the time when the energy storage device, battery, and electric vehicle are charged, is counted to obtain the time of positive power consumption habits. If power cannot be supplied at this time, positive power consumption is performed.

[0199] S4, based on the user usage strategy, the microgrid is segmented and processed to obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and the corresponding line display topology is output.

[0200] It is understandable that the server will segment the microgrid based on the user's usage strategy, obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and then output the line display topology corresponding to the line power supply relationship.

[0201] In some embodiments, step S4 (segmenting the microgrid based on the user usage strategy, obtaining the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and outputting the corresponding line display topology) includes S41-S42:

[0202] S41, determining that the load device corresponding to the time of the combined power usage habit and the time of the reverse power usage habit is a reverse direct supply device.

[0203] It can be understood that the load device corresponding to the time of combined power usage habits and the time of reverse power usage habits is a reverse direct supply device, and the load device that supplies power to the energy storage device is a reverse direct supply device.

[0204] S42, taking the bidirectional charging and discharging node as the starting point, establishes a line directly corresponding to the reverse direct supply device, obtains the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and outputs the corresponding line display topology.

[0205] It is understandable that the present invention will take the bidirectional charging and discharging node as the starting point, establish a line directly corresponding to the reverse direct supply device, obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and output the corresponding line display topology. That is, the line power supply relationship between the load devices powered by the energy storage device is displayed in the form of a topology diagram. This is the existing display method, so that the user can intuitively see the powered devices and lines, which is convenient for subsequent optimization and adjustment, such as optimizing the line, reducing line loss, and optimizing the power consumption of the load device.

[0206] Through the above implementation, the present invention will analyze the power supply according to the user's habits, and then optimize the line. Then, as far as possible, a direct supply of the line is obtained, and the energy supply can be responsible for the latter.

[0207] See also Figure 2 , is a structural diagram of a microgrid networking data processing system for a bidirectional charging pile provided in an embodiment of the present invention, and the microgrid networking data processing system for a bidirectional charging pile includes:

[0208] An acquisition module is used to acquire a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, and divide the microgrid based on the bidirectional charging and discharging node to obtain an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node;

[0209] A monitoring module is used to receive energy storage devices configured by users for circuits within nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receive load devices configured by users for circuits outside nodes, and monitor and process the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data;

[0210] A determination module, used to obtain the power usage habits of the microgrid corresponding to the user, and determine the user's usage strategy based on the monitoring data and the power usage habits;

[0211] The output module is used to segment the microgrid based on the user usage strategy, obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and output the corresponding line display topology.

[0212] See also Figure 3 , is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present invention, the electronic device 30 includes: a processor 31, a memory 32 and a computer program; wherein the memory 32 is used to store the computer program, and the memory can also be a flash memory. The computer program is, for example, an application program, a functional module, etc. that implements the above method.

[0213] The processor 31 is used to execute the computer program stored in the memory to implement each step performed by the device in the above method. For details, please refer to the relevant description in the above method embodiment.

[0214] Optionally, the memory 32 may be independent or integrated with the processor 31 .

[0215] When the memory 32 is a device independent of the processor 31, the device may further include:

[0216] The bus 33 is used to connect the memory 32 and the processor 31 .

[0217] The present invention also provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the methods provided by the various embodiments described above.

[0218] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing data of a microgrid network of a bidirectional charging pile, characterized in that: include: Obtain a bidirectional charging and discharging node in the microgrid where the bidirectional charging pile is located, divide the microgrid based on the bidirectional charging and discharging node, and obtain an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node; Receiving energy storage devices configured by users for circuits within the nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receiving load devices configured by users for circuits outside the nodes, and monitoring and processing the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data; Obtaining the electricity usage habits of the microgrid corresponding to the user, and determining the user's usage strategy based on the monitoring data and the electricity usage habits; Based on the user usage strategy, the microgrid is segmented and processed to obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and the corresponding line display topology is output; The obtaining of the user's electricity usage habits of the corresponding microgrid and determining the user's usage strategy based on the monitoring data and the electricity usage habits includes: Obtaining the fixed energy storage time and fixed energy storage capacity of fixed energy storage equipment in a user-controlled energy storage scenario, and obtaining the non-fixed energy storage time and non-fixed energy storage capacity of non-fixed energy storage equipment in a user-controlled energy storage scenario; The fixed energy storage time is divided based on a preset time period to obtain a plurality of fixed energy storage sub-time periods, and fixed energy storage sub-information of the fixed energy storage information in each fixed energy storage sub-time period is counted; The non-fixed energy storage time is divided based on a preset time period to obtain a plurality of non-fixed energy storage sub-time periods, and the non-fixed energy storage sub-information of the non-fixed energy storage information in each non-fixed energy storage sub-time period is counted; The energy storage function information is obtained based on the combination of the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period; Combine the combined usage time and combined usage power of the load information of the load device to obtain load function information; The energy storage function information and the load function information are compared and analyzed to determine the user usage strategy.

2. The microgrid networking data processing method of the bidirectional charging pile according to claim 1 is characterized in that: The method of obtaining a bidirectional charging and discharging node in a microgrid where the bidirectional charging pile is located, dividing the microgrid based on the bidirectional charging and discharging node, and obtaining an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node includes: Determine the mains connection point of the microgrid, and extend the microgrid to all end nodes of the microgrid in sequence based on the mains connection point as the starting point, and stop extending when it is determined that the microgrid is extended to the end node or the bidirectional charging and discharging node; Adding a first mark to the line extending to the end node or the bidirectional charging and discharging node, and counting all the lines with the first mark to obtain the node external circuit; Again, the bidirectional charging and discharging node is taken as the starting point, and the circuit is extended toward the terminal node until the terminal node is reached and a second mark is added to the corresponding line, and all the lines with the second mark are counted to obtain the circuit within the node.

3. The microgrid networking data processing method of the bidirectional charging pile according to claim 2 is characterized in that: The receiving user configures energy storage devices for the node circuit respectively, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, and the receiving user configures load devices for the node circuit respectively, and monitors and processes the fixed energy storage devices, the non-fixed energy storage devices and the load devices to obtain monitoring data, including: Receiving energy storage devices configured by users for circuits in nodes, the energy storage devices at least include fixed energy storage devices such as batteries, and at least non-fixed energy storage devices such as electric vehicles; Receiving load devices configured by users for node external circuits, and extracting load tags of the load devices; Based on the monitoring and processing of the fixed energy storage device, the non-fixed energy storage device and the load device by the detection unit, the fixed energy storage information, the non-fixed energy storage information and the corresponding load information are obtained.

4. The microgrid networking data processing method of the bidirectional charging pile according to claim 1 is characterized in that: The energy storage function information is obtained based on the combination of the fixed energy storage sub-information in each fixed energy storage sub-time period and the non-fixed energy storage sub-information in each non-fixed energy storage sub-time period, including: A corresponding function coordinate system is constructed based on a preset time period, wherein the abscissa of the function coordinate system is a plurality of periodic points corresponding to the preset time period, and each periodic point corresponds to a fixed energy storage sub-time period and a non-fixed energy storage sub-time period; Determine a fixed coordinate point based on the periodic point and the fixed energy storage sub-information corresponding to each fixed energy storage sub-time period, and determine a non-fixed coordinate point based on the periodic point and the non-fixed energy storage sub-information corresponding to each non-fixed energy storage sub-time period; Adding the fixed energy storage sub-information and the non-fixed energy storage sub-information corresponding to the same periodic point to obtain the combined sub-information and determine the combined coordinate point; The energy storage function information is obtained based on the combination of fixed coordinate points, non-fixed coordinate points and combined coordinate points.

5. The microgrid networking data processing method of the bidirectional charging pile according to claim 4 is characterized in that: The energy storage function information is obtained based on the fixed coordinate points, the non-fixed coordinate points and the combined coordinate points, including: Connecting all fixed coordinate points based on the first connecting line to obtain a fixed energy storage sub-function; Connecting all non-fixed coordinate points based on the second connecting line to obtain a non-fixed energy storage sub-function; Connect all the combined coordinate points based on the third connecting line to obtain a combined energy storage sub-function; The fixed coordinate point, the non-fixed coordinate point and the combined coordinate point are respectively configured as optional midpoints, and the energy storage function information is obtained based on the fixed energy storage sub-function, the non-fixed energy storage sub-function and the combined energy storage sub-function.

6. The microgrid networking data processing method of the bidirectional charging pile according to claim 5 is characterized in that: Also includes: Taking the current time as the starting point, determine all the acquisition time points within the acquisition time period, and obtain the energy storage function information of each acquisition time point. The time of each acquisition time point is 1 day. Calculate the combined difference of the combined coordinate points of all energy storage function information at each same period point, and determine the point with the largest combined difference as the numerical offset point; Obtain the energy storage function information of all acquisition time points and calculate the average value to obtain the energy storage function information after the average calculation, and obtain the power difference value according to the difference between the power information of the combined coordinate point corresponding to the energy storage function information and the power information of the combined coordinate point corresponding to the energy storage function information after the average calculation at the same period point; If it is determined that the power difference is greater than a preset difference, the corresponding combined coordinate point is used as a coordinate offset point; If it is determined that a coordinate offset point is not directly connected to other coordinate offset points, the coordinate offset point is magnified by a preset multiple and connected to the starting point and the adjacent combined coordinate points; Based on the first pixel value of the coordinate offset point, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset point and the combined coordinate point, the pixel value of each pixel in the connecting line between the coordinate offset point and the combined coordinate point is determined, and the pixel values ​​from the coordinate offset point to the combined coordinate point show a gradient change.

7. The microgrid networking data processing method of the bidirectional charging pile according to claim 6 is characterized in that: Also includes: If it is determined that a coordinate offset point is directly connected to other coordinate offset points, the adjacent coordinate offset points are connected to obtain a coordinate offset line, and the endpoints on both sides of the coordinate offset line are determined to obtain two coordinate offset endpoints; After the coordinate offset endpoints are magnified by a preset multiple, they are respectively used as starting points to connect with adjacent combined coordinate points; Based on the first pixel value of the coordinate offset endpoint, the second pixel value of the combined coordinate point, and the number of pixels between the coordinate offset endpoint and the combined coordinate point, the pixel value of each pixel point in the connecting line between the coordinate offset endpoint and the combined coordinate point is determined, and the pixel values ​​from the coordinate offset endpoint to the combined coordinate point show a gradient change.

8. The microgrid networking data processing method of the bidirectional charging pile according to claim 1 is characterized in that: The load function information is obtained by combining the combined usage time and the combined usage power of the load information of the load device, including: Obtain the load power usage and load usage time of the load device in the user-controlled usage scenario; The load usage time is divided based on a preset time period to obtain multiple load usage sub-time periods, and the load usage sub-power in each load usage sub-time period is counted; The load function information is obtained based on the load usage sub-power quantity in each load usage sub-time period.

9. The microgrid networking data processing method of the bidirectional charging pile according to claim 1 is characterized in that: The comparing and analyzing the energy storage function information and the load function information to determine the user usage strategy includes: Determine the load power coordinate point corresponding to each load usage sub-power in the load function information; Compare the energy storage function information with the load function information at the same time, obtain the combined coordinate point in the discharge state and the load power coordinate point at the same time, and perform difference calculation to obtain the power difference; If the electric energy difference is less than or equal to 0, then the time of generating the combined electric energy usage habit at all corresponding moments is counted; If the electric energy difference is greater than 0, then the time of generating the reverse electricity usage habit at all corresponding moments is counted; Determine the time corresponding to the combined coordinate point in the charging state, and obtain the time of positive power consumption habits.

10. The method for processing microgrid network data of a bidirectional charging pile according to claim 9, characterized in that: The microgrid segmentation process based on the user usage strategy obtains the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and outputs the corresponding line display topology, including: Determine the load equipment corresponding to the time of combined power usage habits and the time of reverse power usage habits as reverse direct supply equipment; Taking the bidirectional charging and discharging node as the starting point, a line directly corresponding to the reverse direct supply device is established to obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and the corresponding line display topology is output.

11. A microgrid networking data processing system for a bidirectional charging pile according to the microgrid networking data processing method for a bidirectional charging pile according to any one of claims 1 to 10, characterized in that: include: An acquisition module is used to acquire a bidirectional charging and discharging node in a microgrid where a bidirectional charging pile is located, and divide the microgrid based on the bidirectional charging and discharging node to obtain an internal node circuit and an external node circuit corresponding to the bidirectional charging and discharging node; A monitoring module is used to receive energy storage devices configured by users for circuits within nodes, wherein the energy storage devices include fixed energy storage devices and non-fixed energy storage devices, receive load devices configured by users for circuits outside nodes, and monitor and process the fixed energy storage devices, non-fixed energy storage devices, and load devices to obtain monitoring data; A determination module, used to obtain the power usage habits of the microgrid corresponding to the user, and determine the user's usage strategy based on the monitoring data and the power usage habits; The output module is used to segment the microgrid based on the user usage strategy, obtain the line power supply relationship between the fixed energy storage device, the non-fixed energy storage device and the load device, and output the corresponding line display topology.

12. An electronic device, characterized in that: include: A memory, a processor and a computer program, wherein the computer program is stored in the memory, and the processor runs the computer program to execute the method according to any one of claims 1 to 10.

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