A new energy micro-grid energy storage system charge-discharge intelligent regulation method

Abstract

The present application relates to the technical field of image processing analysis, and particularly relates to a new energy micro-grid energy storage system charge-discharge intelligent regulation method, specifically comprising obtaining the historical power supply and consumption conditions of each power consumption node in the micro-grid and the power supply capacity of a single micro-grid, and then determining a micro-grid group formed by at least two micro-grids re-networking based on the differences in power supply capacity of different micro-grids and the geographical distance between different micro-grids, and controlling the micro-grid group to output and regulate the micro-grid based on the power supply capacity of different micro-grids to meet the power demand of each power consumption node in the micro-grid. The technical scheme provided by the present application can fully allocate the power supply capacity differences of each micro-grid and realize the power supply capacity complementation between different micro-grids through the micro-grid group formed by re-networking, thereby reducing the long-distance power transmission loss and realizing accurate power output regulation.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of data processing, in particular to a new energy micro-grid energy storage system charge-discharge intelligent regulation method. BACKGROUND

[0002] The existing new energy power generation device is greatly affected by environmental factors when being specifically set, and its power generation output has uncertainty, which is not conducive to stable operation of grid connection. In addition, due to the factors such as scattered distribution of households and terrain conditions in rural areas, the micro-grid is usually selected to utilize new energy power generation.

[0003] In this scenario, when the new energy power generation in the micro-grid cannot meet the power demand of each power consumption node in the micro-grid, it is often necessary to supplement and transmit power through the external power distribution network. However, due to the long distance between some rural areas and the external power distribution network, it is easy to cause excessive power loss due to aging of transmission lines and long transmission distance when supplementing power through the external power distribution network. Therefore, how to adjust the networking form of the micro-grid so that it can ensure normal power consumption of the power consumption nodes while avoiding power supplement from the external power distribution network as much as possible and avoiding the problem of large power loss caused by long distance transmission has become a practical application problem to be solved at present. SUMMARY

[0004] In order to solve the technical problems proposed in the background art, the purpose of the present disclosure is to provide a new energy micro-grid energy storage system charge-discharge intelligent regulation method, and the technical solution adopted is as follows:

[0005] The first aspect of the present disclosure provides a new energy micro-grid energy storage system charge-discharge intelligent regulation method, which can specifically include the following steps:

[0006] Obtain the historical power supply and consumption situation of each power consumption node in the micro-grid;

[0007] Based on the historical power supply and consumption situation, obtain the power supply capacity of a single micro-grid;

[0008] Based on the difference in power supply capacity of different micro-grids and the geographical distance between different micro-grids, determine a micro-grid group formed by re-networking of at least two micro-grids, wherein the micro-grid group includes a shared energy storage center connected with each micro-grid in the micro-grid group, the shared energy storage center is connected with the external power distribution network, and supports sending power transmission request and / or power supply request to the external power distribution network;

[0009] Based on the power supply capacity of different micro-grids, control the shared energy storage center to output and regulate the micro-grids in the micro-grid group to meet the power demand of each micro-grid and each power consumption node in the micro-grid.

[0010] In a possible implementation of the first aspect, the micro-grid includes a new energy power generation system, a centralized energy storage device, and a plurality of power consumption nodes, and the new energy power generation system, the centralized energy storage device, and the power consumption nodes are connected through a power supply network;

[0011] The new energy power generation system includes one or any combination of a photovoltaic power generation system, a biogas power generation system, and a wind power generation system, and the wind power generation system includes a distributed energy storage device.

[0012] The power consumption nodes include secondary new energy power generation systems, and the secondary new energy power generation systems preferentially supply power to corresponding power consumption nodes.

[0013] In a possible implementation of the first aspect, in the process of obtaining the historical power supply and consumption conditions of each power consumption node in the micro-grid, the following steps are included:

[0014] In a single preset monitoring period, power supply and consumption monitoring is performed based on a preset frequency to obtain the power consumption power change and / or the power generation power change of the power consumption node;

[0015] Based on the difference between the power generation power change and the power consumption power change, the power supply and consumption conditions of each preset time period in the preset monitoring period are obtained.

[0016] The historical power supply and consumption conditions of the power consumption node include the power supply and consumption conditions of each preset time period in a plurality of preset monitoring periods.

[0017] In a possible implementation of the first aspect, in the process of obtaining the power supply capacity of a single micro-grid, the following steps are included:

[0018] Based on the historical power supply and consumption conditions, power supply and consumption quantification data of each power consumption node in the micro-grid within a preset time period are obtained.

[0019] For a single preset time period, average power supply and consumption quantification data and maximum power supply and consumption quantification data of each power consumption node in the micro-grid are obtained, and a time period power supply index of the micro-grid is generated based on the average power supply and consumption quantification data and the maximum power supply and consumption quantification data.

[0020] The time period power supply index is positively correlated with the average power supply and consumption quantification data, and the time period power supply index is inversely correlated with the difference between the maximum power supply and consumption quantification data and the average power supply and consumption quantification data, and the power supply capacity includes the time period power supply index of the micro-grid.

[0021] In a possible implementation of the first aspect, in the process of obtaining the power supply capacity of a single micro-grid, the following steps are included:

[0022] In a single power supply evaluation period, a historical period power supply parameter of the micro-grid is obtained, and the historical period power supply parameter is a sum of all period power supply indexes in the power supply evaluation period;

[0023] In a single power supply evaluation period, a period power supply difference parameter of the micro-grid is obtained, and the period power supply difference parameter is a difference between two adjacent preset monitoring period power supply indexes in the power supply evaluation period;

[0024] Based on the historical period power supply parameter and the period power supply difference parameter, a power supply capability index of the micro-grid is obtained.

[0025] The power supply capability index is positively correlated with a mean value of the historical period power supply parameters of all preset periods, the power supply capability index is negatively correlated with a variance of the historical period power supply parameters of all preset periods, the power supply capability index is negatively correlated with a mean value of maximum values of the period power supply difference parameters of all preset periods, and the power supply capability includes the power supply capability index of the micro-grid.

[0026] In a possible implementation of the first aspect, in the process of determining the micro-grid group formed by the re-networking of the at least two micro-grids, the following steps are included:

[0027] Based on the power supply capability and the geographical distance, the micro-grids are divided into a plurality of similar groups, the power supply similarity of any two micro-grids in each similar group is greater than a first preset threshold, the power supply similarity is negatively correlated with a power supply capability difference of the two micro-grids, the power supply similarity is negatively correlated with a geographical distance between the two micro-grids, and each micro-grid corresponds to a similar group;

[0028] A power supply matching degree of any two similar groups is obtained, and the two similar groups with the highest power supply matching degree are selected to form the micro-grid group, the power supply matching degree is positively correlated with a difference between mean values of power supply capabilities of the micro-grids in the two similar groups, and the power supply matching degree is negatively correlated with a central geographical distance between the two similar groups.

[0029] In a possible implementation of the first aspect, in the process of determining the micro-grid group formed by the re-networking of the at least two micro-grids, the following steps are further included:

[0030] Based on geographical positions of all power consumption nodes in the micro-grid group, a regional center position of the micro-grid group is determined.

[0031] A centralized energy storage device of a micro-grid closest to the regional center position is obtained, and the centralized energy storage device is taken as a shared energy storage center of the micro-grid group.

[0032] In a possible implementation of the first aspect, in the process of controlling the shared energy storage center to perform output regulation on the micro-grids in the micro-grid group, the following steps are included:

[0033] determining a power supply priority of the micro-grid in the future preset period according to the power supply capability of the micro-grid in the micro-grid group, wherein the power supply priority is inversely related to the power supply capability index of the micro-grid, and the power supply priority is positively related to a ratio of a period power supply index of a previous preset period to a period power supply index of the current preset period;

[0034] determining an electric energy output power of the micro-grid in the future preset period according to the power supply priority of the future preset period and the electric energy output power of the micro-grid in the current preset period, so as to realize output regulation of the micro-grid.

[0035] In a possible implementation of the first aspect, in the process of controlling the shared energy storage center to regulate the output of the micro-grid in the micro-grid group, the method further includes the following steps:

[0036] traversing the micro-grid group to obtain the electric energy output power of all the micro-grids in the future preset period;

[0037] when the sum of the electric energy output powers of all the micro-grids is greater than the electric energy input power of the shared energy storage center in the current preset period, and the historical energy storage capacity of the shared energy storage center is less than a second preset threshold, sending a power transmission request to an external power distribution network to obtain electric energy provided from the external power distribution network.

[0038] In a possible implementation of the first aspect, the shared energy storage center includes a booster transformer structure.

[0039] In the process of controlling the shared energy storage center to regulate the output of the micro-grid in the micro-grid group, the method further includes the following steps:

[0040] traversing the micro-grid group to obtain the electric energy output power of all the micro-grids in the future preset period;

[0041] when the sum of the electric energy output powers of all the micro-grids is less than the electric energy input power of the shared energy storage center in the current preset period, and the historical energy storage capacity of the shared energy storage center is greater than a third preset threshold, sending a power supply request to an external power distribution network, and boosting the stored electric energy through the booster transformer structure to access the external power distribution network.

[0042] Compared with the background art, the present disclosure has the following beneficial effects:

[0043] The technical scheme provided by the present disclosure can determine the independent power supply and consumption capacity of each micro-grid based on the historical power supply and consumption of each power consumption node in the micro-grid, and on this basis, the micro-grid networking distribution is based on the geographical distribution of the micro-grid, so that the micro-grids with complementary power supply and consumption capacity in adjacent areas can be recombined into a micro-grid network sharing the power supply and consumption capacity, while realizing fine power supply and consumption distribution of each power consumption node, reducing long-distance power transmission between the micro-grid network and the external power distribution network, effectively improving the power supply efficiency of the existing micro-grid, and reducing the power loss caused by long-distance transmission, which can be flexibly applied to rural areas where new energy micro-grid architecture has been laid out, and has promotional value. BRIEF DESCRIPTION OF DRAWINGS

[0044] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed in the following embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0045] Figure 1 According to the embodiments of the present disclosure, a flowchart of an intelligent charging and discharging adjustment method of an energy storage system of a new energy micro-grid is provided.

[0046] Figure 2 According to the embodiments of the present disclosure, a schematic diagram of the composition structure of a micro-grid is provided.

[0047] Figure 3 According to the embodiments of the present disclosure, a flowchart of obtaining the historical power supply and consumption of each power consumption node in a micro-grid is provided.

[0048] Figure 4 According to the embodiments of the present disclosure, a power supply and consumption statistical diagram of a power consumption node is provided.

[0049] Figure 5 According to the embodiments of the present disclosure, a flowchart of obtaining the power supply capacity of a single micro-grid is provided.

[0050] Figure 6 According to the embodiments of the present disclosure, another flowchart of obtaining the power supply capacity of a single micro-grid is provided.

[0051] Figure 7 According to the embodiments of the present disclosure, a flowchart of determining a micro-grid group formed by re-networking at least two micro-grids is provided.

[0052] Figure 8For according to the embodiment of the present disclosure, a diagram for dividing a micro-grid into multiple similar groups is provided.

[0053] Figure 9 For according to the embodiment of the present disclosure, a diagram for composing a micro-grid group is provided.

[0054] Figure 10 For according to the embodiment of the present disclosure, a flow diagram for controlling the shared energy storage center to output and regulate the micro-grid in the micro-grid group is provided. DETAILED DESCRIPTION

[0055] In order to further illustrate the technical means and effects taken by the present application to achieve the predetermined object, the following describes in detail the specific implementation, structure, features and effects of a new energy micro-grid energy storage system charge-discharge intelligent adjustment method according to the present application, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0057] To solve the problems in the background art, the present disclosure provides a new energy micro-grid energy storage system charge-discharge intelligent adjustment method, which can re-distribute the micro-grid based on the historical power supply and consumption of the power consumption nodes, so that the micro-grids with complementary power supply and consumption capabilities in adjacent areas can be recombined into a micro-grid network with shared power supply and consumption capabilities, thereby achieving fine power supply and consumption deployment for each power consumption node. Specifically, in some embodiments of the present disclosure, Figure 1 A flow diagram of a new energy micro-grid energy storage system charge-discharge intelligent adjustment method is shown. As shown in Figure 1 The method can specifically include the following steps:

[0058] Step 100: Obtain the historical power supply and consumption of each power consumption node in the micro-grid. In some embodiments, the micro-grid is a small independent power grid, which can be defined as a group of interconnected loads and distributed energy resources within a clearly defined electrical boundary. It can be understood that, compared with the traditional large power grid composed of large power plants and high-voltage power supply network, the micro-grid can be regarded as a single controllable entity, which can work with the large power grid and also can independently run outside the large power grid. In some embodiments, the micro-grid can be composed of various types of distributed energy resources (DER), which can specifically include solar panels, wind turbines, fuel cells, energy storage systems, etc., without limitation; in some embodiments, the power generation resources of the micro-grid can also include diesel generators, natural gas-driven combined heat and power (CHP) systems, thermal power generator sets, and other traditional energy generation components, without limitation. In a specific embodiment provided in the present disclosure, the micro-grid can be a new energy micro-grid, which can specifically include a new energy power generation system, a centralized energy storage device, and a plurality of power consumption nodes, and the new energy power generation system, the centralized energy storage device, and the power consumption nodes are connected through a power supply network.

[0059] In some embodiments of the present disclosure, Figure 2 A schematic diagram of the composition structure of a micro-grid is shown, as Figure 2 As shown, the new energy power generation system, the centralized energy storage device 220, and the power consumption node 230 are connected with the power supply network 240, and can transmit and transmit electric energy through the power supply network 240. In some embodiments, further, the new energy power generation system can specifically include one or any combination of a photovoltaic power generation system, a biogas power generation system, and a wind power generation system. Since the photovoltaic power generation system depends on the conversion of solar energy, and the biogas power generation system depends on the anaerobic consumption of biomass energy to generate biogas, the power generation cycle of these two new energy power generation systems is relatively regular, and the electric energy provided can be stored by the centralized energy storage device. The wind power generation system has strong uncertainty in power generation due to its dependence on the wind action of the environment, and is usually arranged in the form of a large-scale wind power plant, which usually includes a distributed energy storage device arranged with the wind power generation system. The electric energy obtained by the wind power generation system will be stored in the corresponding distributed energy storage system first. In some embodiments, as Figure 2As shown, the new energy power generation system can specifically include a photovoltaic power generation system 211, a biogas power generation system 212, and a wind power generation system 213, wherein the wind power generation system 213 has an independent distributed energy storage device 2130. In some embodiments, further, considering that the power consumption node can correspond to each household unit or a concentrated residential area in a rural area, the power consumption node itself can also be provided with a small power generation system, for example, a small solar photovoltaic panel can be arranged in the roof area, and the like. These power generation systems can be regarded as a secondary new energy power generation system corresponding to the power consumption node, to be distinguished from the new energy power generation system in the microgrid, and the secondary new energy power generation system preferentially supplies power to the corresponding power consumption node. In some embodiments, as shown, Figure 2 As shown, the power consumption node 230 can specifically include one or more secondary new energy power generation systems 231, wherein the secondary new energy power generation system can be a photovoltaic power generation system, or a biogas power generation system, or other new energy power generation system suitable for small-scale arrangement, which is not limited here.

[0060] In some embodiments, the historical power supply and consumption situation of each power consumption node in the microgrid can be obtained by statistically analyzing the actual power consumption and the actual power supply of the power consumption node in a certain historical period. The specific acquisition method of the historical power supply and consumption situation will be described in detail below, and will not be repeated here.

[0061] Step 200: Based on the historical power supply and consumption situation, the power supply capacity of a single microgrid is obtained. It can be understood that by statistically analyzing the historical power supply and consumption situation of each power consumption node in the microgrid at different time periods, and integrating and analyzing the historical power supply and consumption situation of different power consumption nodes, the quantitative power supply capacity of a single microgrid can be obtained. In some embodiments, the power supply capacity of a single microgrid is strong, which means that the single microgrid can support most or all of the power consumption demands of each power consumption node in the microgrid, and less or no power supply request needs to be made to the external power distribution network; while the power supply capacity of a single microgrid is weak, which means that it cannot support the power consumption demands of each power consumption node, and needs to make a power supply request to the external power distribution network more frequently, which is easy to cause a large amount of power loss due to long-distance power transmission. The specific implementation of obtaining the power supply capacity of the microgrid will be described in detail below, and will not be repeated here.

[0062] Step 300: Based on the difference of power supply capacity of different microgrids and the geographical distance between different microgrids, a microgrid group formed by re-networking of at least two microgrids is determined. It can be understood that for a microgrid with weak power supply capacity, if the power supply capacity of other microgrids can be supplemented by other microgrids with strong power supply capacity that are geographically closer, the power loss in the transmission process can be effectively reduced, and the configuration and / or operation and maintenance cost of the long-distance power transmission facility can also be reduced. The microgrid group formed by the technical solution provided by the present disclosure can fully allocate the power supply capacity difference of each microgrid and realize the power supply capacity complementation between different microgrids, thereby reducing the dependence of the microgrid group on the external power distribution network as much as possible. The specific determination process of the microgrid group will be described in detail below, and will not be repeated here.

[0063] In some embodiments, in addition to the new energy power generation system and the power consumption node in the microgrid, the microgrid group also includes a shared energy storage center connected with each microgrid in the microgrid group. The shared energy storage center is connected with the external power distribution network, supports sending power transmission and / or power supply requests to the external power distribution network, can request power supply support from the external power distribution network in the case of power shortage of the microgrid group, ensures that the normal power consumption demand of the power consumption node in the microgrid group is not affected, and also supports grid-connected processing of the extra power in the case of saturation of the new energy power generation capacity in the microgrid group, which is not limited herein. In some embodiments, the shared energy storage center can be realized by relying on one or more existing centralized energy storage devices in the microgrid, or can be appropriately expanded based on the actual power supply capacity of the microgrid group on the basis of one or more existing centralized energy storage devices, and an electric energy receiving path and / or an electric energy feedback path between the shared energy storage center and the external power distribution network can be established, which is not limited herein.

[0064] Step 400: Based on the power supply capacity of different microgrids, the shared energy storage center is controlled to output and regulate the microgrids in the microgrid group to meet the power consumption demand of each microgrid and each power consumption node in the microgrid. It can be understood that through the above steps 100 to 400, the independent power supply and consumption capacity of each microgrid can be determined based on the historical power supply and consumption situation of each power consumption node in the microgrid, and on this basis, the microgrids can be allocated based on the geographical distribution of the microgrids, so that the microgrids with complementary power supply and consumption capacity in adjacent areas can be recombined into a microgrid group with shared power supply and consumption capacity, and the microgrid group can be further recombined into a microgrid group with shared power supply and consumption capacity. The specific implementation of the above steps 100 to 400 will be further explained and described below.

[0065] In some embodiments of the present disclosure, Figure 3 A flowchart for obtaining the historical power supply and consumption situation of each power consumption node in the microgrid is shown. Specifically, as shown in FIG. 1, the historical power supply and consumption situation of each power consumption node in the microgrid can be obtained by the following steps:Figure 3 The method can include the following steps.

[0066] Step 310: In a single preset monitoring period, power supply and consumption monitoring is performed based on a preset frequency to obtain the power consumption change of the power consumption node and / or the power generation change. In some embodiments, specifically, the power generation change and / or the power consumption change of each power consumption node can be continuously monitored by using the smart meter or other devices arranged at each power consumption node in the micro-grid. The single preset monitoring period can be set to 24 hours to reflect the power generation / consumption change of the power consumption node in a natural day. The preset frequency can be 1 minute for power supply and consumption monitoring, or 10 minutes for power supply and consumption monitoring. The higher the preset frequency, the greater the amount of power supply and consumption monitoring data generated, and the more accurate the power supply / consumption change reflected. Those skilled in the art can select a suitable preset frequency for power supply and consumption monitoring, which is not limited herein.

[0067] Step 320: Based on the difference between the power generation change and the power consumption change, the power supply and consumption of each preset period in the preset monitoring period is obtained, wherein the historical power supply and consumption of the power consumption node includes the power supply and consumption of each preset period in multiple preset monitoring periods. It can be understood that the power supply and consumption change of each power consumption node in the micro-grid can be reflected by the difference between the power generation change and the power consumption change. For example, Figure 4 A power supply and consumption statistical diagram of a power consumption node is shown, as shown in Figure 4 As shown in the figure, Figure 4 The curve 410 in the figure represents the power consumption change of the power consumption node, the curve 420 represents the power generation change of the secondary photovoltaic power generation system of the power consumption node (if the power consumption node does not have a secondary photovoltaic power generation system, the curve 420 can be maintained at zero), the curve 430 represents the power generation change of the secondary biogas power generation system of the power consumption node (if the power consumption node does not have a secondary biogas power generation system, the curve 430 can be maintained at zero), and the curve 440 represents the power supply and consumption change of the power consumption node in the entire preset monitoring period, such as a natural day. The specific value at each time point can be represented as the sum of the photovoltaic power generation amount of the power consumption node and the biogas power generation amount of the power consumption node minus the power consumption amount of the power consumption node. In some embodiments, as shown in Figure 4As shown, the curve 440 is always above the zero position, indicating that the power generation of the power consumption node can meet its power consumption demand. In some embodiments, considering that the daily power consumption behavior of different power consumption nodes in the micro-grid has certain differences, and the daily power consumption behavior has certain commonalities over time (for example, the power consumption is less at night or in the valley, the power consumption is greater during the day or in the peak, the photovoltaic power generation is greater during the day, etc.), in order to subsequently reasonably evaluate and obtain the power supply capacity of a single micro-grid, a single preset monitoring period can be divided according to a preset time period, and the historical power supply and consumption of the power consumption node can be reasonably obtained by statistically analyzing the power supply and consumption of each preset time period in multiple preset monitoring periods. For example, the power supply and consumption change curve shown in the curve 440 can be segmented according to a 15-minute preset time period, and the power average of the segmented curve can be taken as the power supply and consumption of the power consumption node. Those skilled in the art can set the preset time period according to actual needs, which is not limited herein.

[0068] In some embodiments of the present disclosure, Figure 5 A flowchart for obtaining the power supply capacity of a single micro-grid is shown, and specifically, Figure 5 As shown, the flowchart can include the following steps.

[0069] Step 510: Based on the historical power supply and consumption, obtain the power supply and consumption quantization data of each power consumption node in the micro-grid in a preset time period. Specifically, the power supply and consumption quantization data can be the average of the power supply and consumption difference in the preset time period. For example, taking 15 minutes as a preset time period, the power supply and consumption quantization data is the average of the power supply and consumption in 15 minutes, which can be directly calculated according to the historical power supply and consumption to obtain the power supply and consumption of the power consumption node in the preset time period in the form of quantization data. In some embodiments, taking the power supply and consumption difference as an example, the power supply and consumption difference is equal to the power generation minus the power consumption, the greater the value of the power supply and consumption difference, the greater the value of the power supply and consumption quantization data, indicating that the micro-grid can meet the power supply demand of the power consumption node in this preset time period.

[0070] Step 520: For a single preset time period, obtain the average power supply and consumption quantization data and the maximum power supply and consumption quantization data of each power consumption node in the micro-grid, and generate a time period power supply index of the micro-grid based on the average power supply and consumption quantization data and the maximum power supply and consumption quantization data, wherein the power supply capacity includes the time period power supply index of the micro-grid. It can be understood that the time period power supply index of the micro-grid supports reflecting the overall power supply capacity of the power supply grid in the form of a quantitative index, and the time period power supply index can be obtained by the following mathematical expression:

[0071] ;

[0072] wherein, is used to represent the power supply and consumption of the micro-grid in the i th preset time period, and the power supply and consumption of the micro-grid in the i th preset time period is obtained by the following mathematical expression: Power supply index for each preset time period; Used to represent microgrid in the first The average power supply and consumption data of all power consumption nodes in a preset time period, i.e., the average power supply and consumption data of each power consumption node. Used to represent microgrid in the first The maximum value of the power supply and consumption data of all power-consuming nodes within a preset time period is the maximum power supply and consumption data. Adding 1 to the denominator prevents a logical error caused by a denominator of 0. Based on the above mathematical expression, it can be seen that the time-period power supply index of the microgrid is related to the average power supply and consumption data of each power-consuming node in the microgrid. Positively correlated with the difference between the maximum power consumption data and the average power consumption data. Inverse correlation, meaning that the average power supply and consumption data of each power consumption node in the microgrid are quantified. The higher the value, the better the microgrid performs within the preset time period. The data shows that the microgrid can meet the power supply needs of most power consumption nodes, reflecting a stronger power supply capacity. Furthermore, the smaller the difference between the maximum power consumption data and the average power consumption data, the better the microgrid can meet the power supply needs within the preset time period. The distribution of power supply and consumption data at each power consumption node is relatively stable, which can also reflect the stronger power supply capacity of the microgrid.

[0073] As can be seen from the foregoing descriptions of the embodiments, the power supply capacity of a microgrid can be characterized by a time-period power supply index, which reflects the power supply and consumption of the microgrid at different times. However, since the time-period power supply index can only characterize the power supply capacity of a microgrid in a single preset time period, it is difficult to intuitively and effectively characterize the overall power supply capacity of the microgrid using multiple time-period power supply indices. In some embodiments, to overcome the above problems, considering that the power supply and consumption of a microgrid at different times is closely related to the specific power consumption behavior of each power-consuming node in the microgrid, and that the specific power consumption behavior of a power-consuming node has certain regularities in a single power supply assessment cycle: for example, the users corresponding to the power-consuming nodes in a certain microgrid group are ordinary farmers, whose main electrical equipment is household appliances, with lower power load at night and higher power load during the day; or, for example, the power-consuming nodes in another microgrid group correspond to livestock users, whose main electrical equipment is livestock ventilation equipment, disinfection equipment, and temperature control equipment, and who also maintain a higher power load at night. Therefore, by quantifying and summarizing the above regularities, more intuitive indicator data that can characterize the power supply capacity of the microgrid can be obtained. Specifically, in some embodiments of this disclosure... Figure 6 This illustrates another process for obtaining power from a single microgrid, specifically, as shown in the diagram. Figure 5 The steps shown may include the following steps.

[0074] Step 610: Within a single power supply assessment cycle, obtain the historical power supply parameters for the microgrid. In some embodiments, the historical power supply parameters are the sum of the power supply indices for all time periods within the power supply assessment cycle. A single power supply assessment cycle may include an integer number of preset monitoring cycles. For example, if the preset monitoring cycle is one calendar day, a single power supply assessment cycle may be 30 calendar days, used to characterize the power supply situation for a single preset time period within a certain historical cycle. Those skilled in the art can set the number of preset monitoring cycles included in a single power supply assessment cycle according to actual needs; no limitation is imposed here. Specifically, the mathematical expression for the historical power supply parameters can be as follows:

[0075] ;

[0076] in, Used to represent microgrid in the first Historical power supply parameters for a preset time period; Used to represent microgrid in the first In the first preset monitoring cycle Power supply index for each preset time period; This is used to indicate the number of preset monitoring periods included in the power supply assessment cycle. In some other embodiments, the power supply parameters for historical time periods can also be characterized by the average power supply index of the time periods within the power supply assessment cycle, which is not limited here.

[0077] Step 620: Within a single power supply assessment cycle, obtain the time-period power supply difference parameter of the microgrid, where the time-period power supply difference parameter is the difference between the time-period power supply indices of two adjacent preset monitoring cycles within the power supply assessment cycle. It is understood that the time-period power supply indices corresponding to different preset monitoring cycles within the power supply assessment cycle may differ. By obtaining the difference in the time-period power supply indices of two adjacent preset monitoring cycles, the change in the time-period power supply index within a single power supply assessment cycle can be obtained. Specifically, the mathematical expression for obtaining the time-period power supply difference parameter can be as follows:

[0078] ;

[0079] in, For microgrids in the first The preset monitoring cycle and the first Between the first preset monitoring cycle Power supply difference parameters for each preset time period; For microgrids in the first In the first preset monitoring cycle Power supply index for each preset time period; For microgrids in the first In the first preset monitoring cycle Power supply index for each preset time period.

[0080] Step 630: Based on historical time-period power supply parameters and time-period power supply difference parameters, obtain the microgrid's power supply capacity index, where power supply capacity includes the microgrid's power supply capacity index. It is understood that compared to using a time-period power supply index to characterize the microgrid's power supply capacity, using a power supply capacity index to characterize the microgrid's power supply capacity can more intuitively reflect the overall power supply capacity of the microgrid under various preset time periods. Specifically, the mathematical expression for determining the microgrid's power supply capacity index can be as follows:

[0081] ;

[0082] in, Used to indicate the first Power supply capacity indicators of a microgrid; Used to indicate the first The average of the historical power supply parameters of each microgrid during all preset time periods; Used to indicate the first The variance of the power supply parameters of a microgrid in all preset time periods; Used to indicate the first The microgrid in the first The maximum value of the power supply difference parameter for each preset time period. Used to indicate the first The average of the maximum values ​​of the power supply difference parameters for each microgrid across all preset time periods is calculated as follows: The denominator is incremented by 1 to prevent logical errors caused by a denominator of 0. Based on the above mathematical expression, it can be seen that the power supply capacity index... The average of historical power supply parameters for all preset time periods Positive correlation, the average value of power supply parameters over historical periods The larger the value, the higher the value. The stronger the power supply capacity of a microgrid, the better; at the same time, the power supply capacity index Variance of power supply parameters compared to historical time periods for all preset time periods Anticorrelation, variance The larger the value, the greater the difference in the distribution of power supply parameters over historical periods, representing the [number of periods]. The greater the fluctuation in the power supply and consumption of a microgrid, the greater the corresponding change in the power consumption of the first microgrid. The weaker the power supply capacity of a microgrid, the more it is affected by the power supply capacity index. Also, the average of the maximum value of the power supply difference parameter for all preset time periods. Inverse correlation, maximum and mean The larger it is, the more it indicates that the first The greater the variation range of the power supply and consumption of the micro-grid in different preset monitoring periods in the power supply evaluation period, the weaker the power supply capability of the corresponding first micro-grid. The greater the variation range of the power supply and consumption of the micro-grid in different preset monitoring periods in the power supply evaluation period, the weaker the power supply capability of the corresponding first micro-grid.

[0083] Based on the related description of the foregoing embodiments, the power supply capability index of any micro-grid can be obtained , which can intuitively reflect the strength of the power supply capability of the micro-grid. Considering that the application scenarios of different micro-grids are different, in order to facilitate subsequent re-grouping and networking of different micro-grids, the power supply capability indexes of all micro-grids in the same region range can be normalized to obtain corresponding updated power supply capability indexes , wherein the specific value range of the updated power supply capability index is in the interval [-1, 1].

[0084] In some embodiments of the present disclosure, Figure 7 a flowchart for determining a micro-grid group formed by re-networking of at least two micro-grids is shown, as shown in Figure 7 may include the following steps:

[0085] Step 710: Based on the power supply capability and the geographical distance, the micro-grids are divided into a plurality of similar groups, and the power supply similarity of any two micro-grids in each similar group is greater than a first preset threshold. It can be understood that if the geographical distance between two or more micro-grids is close and the difference in power supply capability is small, it can be considered that the power supply capabilities of these micro-grids are similar and can be classified into the same similar group. Specifically, the mathematical expression for obtaining the power supply similarity can be as follows:

[0086] ;

[0087] Among them, is used to represent the power supply similarity of the first micro-grid and the first micro-grid; is used to represent the geographical distance between the first micro-grid and the first micro-grid, wherein the geographical distance can be specifically represented by the Euclidean distance between the region centers of the first micro-grid and the first micro-grid. The region center of a single micro-grid can be the geographical coordinate midpoint of all its power consumption nodes, which is not limited here; is used to represent the updated power supply capability index of the first micro-grid after normalization; is used to represent the updated power supply capability index of the first micro-grid after normalization, and it should be noted that​ and Both parameters are not equal to 0; Used to indicate the first The microgrid and the first The power supply capacity differences between microgrids. Based on the above mathematical expression, it can be seen that the first... The microgrid and the first Power supply similarity of individual microgrids Difference in power supply capacity between the two microgrids The correlation is negative; the greater the difference in power supply capacity between two microgrids, the smaller their power supply similarity. Meanwhile, the... The microgrid and the first Power supply similarity of individual microgrids Geographical distance from the two microgrids Inversely, the greater the distance between two microgrids, the greater the energy loss resulting from energy complementarity between them. These two microgrids are relatively unsuitable for being grouped into the same microgrid group, and their power supply similarity adaptively decreases. In some embodiments, to avoid redundant calculations, each microgrid corresponds to only one similarity group, and all microgrids in the determined similarity group are no longer included in the calculation of power supply similarity with other microgrids.

[0088] For example, Figure 8 A schematic diagram illustrating the division of a microgrid into multiple similar groups is shown, such as... Figure 8 As shown, at least two microgrids 810 with a power supply similarity value greater than a first preset threshold can be grouped into the same similarity group 820. In some embodiments, such as Figure 8 As shown, the microgrids 810 in the same similar group 820 are geographically close, which can effectively avoid long-distance power transmission losses caused by subsequent power allocation between microgrids.

[0089] Step 720: Obtain the power supply matching degree of any two similar groups, and select the two similar groups with the highest power supply matching degree to form a microgrid group. It is understood that for a microgrid group formed by reconfiguration, the microgrids within the group need to achieve effective power supply and consumption complementarity, and the geographical distance between the microgrids should be relatively close to reduce power transmission losses. Therefore, geographical distance and power supply capacity differences can be used as the calculation criteria for the power supply matching degree. Specifically, the mathematical expression for obtaining the power supply matching degree of two similar groups can be as follows:

[0090] ;

[0091] in, Used to indicate the first The first similar group and the first Power supply matching degree of similar groups; Used to indicate the first The first similar group and the first The central geographic distance of similar groups can be obtained by referring to the scheme provided in the foregoing embodiments, and will not be repeated here; Used to indicate the first The average power supply capacity index of similar groups, which is the first The average of the updated power supply capacity index of all microgrids in the similar groups; Used to indicate the first The average power supply capacity index of similar groups, which is the first The average value of the updated power supply capacity index of all microgrids in the _th similar groups; used to represent the _th The first similar group and the first The difference in power supply capacity among similar groups. Based on the above mathematical expression, it can be seen that the first... The first similar group and the first Power supply matching degree of similar groups The difference in the mean power supply capacity of microgrids in two similar groups is positively correlated; that is, the greater the difference in power supply capacity between two similar groups, the higher the power supply matching degree between the two similar groups. Furthermore, the... The first similar group and the first Power supply matching degree of similar groups It is also inversely correlated with the central geographical distance between two similar groups; the smaller the central geographical distance between two similar groups, the higher the power supply matching degree between the two similar groups.

[0092] For example, Figure 9 A schematic diagram of a microgrid assembly is shown, such as Figure 8 and Figure 9 As shown, two similar groups 820 with close geographical distances and large differences in power supply capacity can be grouped into the same microgrid group 910, so that the power supply and consumption of each microgrid in the microgrid group can be shared and complemented with other microgrids.

[0093] In some embodiments of the present disclosure, further, in the process of determining the micro-grid group formed by the re-networking of at least two micro-grids, the shared energy storage center also needs to be configured. It can be understood that the shared energy storage center needs to undertake the power supply and power storage of each micro-grid in the micro-grid group, and needs to be at a suitable distance from each micro-grid to avoid long-distance transmission loss of power allocation within the micro-grid group. In some embodiments, the regional center position of the micro-grid group can be determined based on the geographical positions of all power consumption nodes in the micro-grid group; then the centralized energy storage device closest to the regional center position is obtained, and the centralized energy storage device is taken as the shared energy storage center of the micro-grid group, so that the shared energy storage center has a relatively short power transmission distance to each micro-grid in the micro-grid group. In some embodiments, further, considering that the shared energy storage center needs to undertake the power supply and storage of the remaining power of the entire micro-grid group, the person skilled in the art can expand the energy storage scale of the existing centralized energy storage device and expand the power transmission route of the centralized energy storage device according to actual needs, so that the centralized energy storage device can directly transmit power with each micro-grid in the micro-grid group, which is not limited herein. In some embodiments, further, considering that the shared energy storage center needs to establish a power transmission path with the external power distribution network, the person skilled in the art can also establish and / or regularly operate and maintain the power transmission path between the existing centralized energy storage device and the external power distribution network according to actual needs, which is not limited herein.

[0094] In some embodiments of the present disclosure, Figure 10 A flowchart for controlling the shared energy storage center to output and regulate the micro-grids in the micro-grid group is shown as follows, Figure 10 which can include the following steps:

[0095] Step 1010: determining the power supply priority of the micro-grid in the future preset period according to the power supply capacity of the micro-grid in the micro-grid group. It can be understood that, on the basis of the re-networking determination of the micro-grid group in the foregoing embodiments, the power supply priority in the future preset period can be determined according to the historical power supply data of the single micro-grid and the actual power supply and consumption situation in the current preset period: for example, if the historical power supply capacity of the single micro-grid is poor, and the power supply index of the current preset period decreases greatly compared with the previous preset period, it is considered that the power supply capacity of the next preset period is likely to decrease again, and it needs to be given a higher power supply priority. Specifically, the mathematical expression for determining the power supply priority can be as follows:

[0096] ;

[0097] wherein, is used to represent the th micro-grid in the a power supply priority of the first micro-grid in the first preset period, wherein the first preset period is a next preset period; a power supply priority of the first micro-grid in the first preset period, wherein the first preset period is a next preset period; a power supply priority of the first micro-grid in the first preset period, wherein the first preset period is a next preset period; an updated power supply capacity index of the first micro-grid after normalization; an updated power supply capacity index of the first micro-grid after normalization; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period; a period power supply index of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a previous preset period;

[0098] step 1020: determining the power output of the micro-grid in the future preset period according to the power supply priority of the future preset period and the power output of the micro-grid in the current preset period, so as to realize the output regulation of the micro-grid. In some embodiments, specifically, the mathematical expression for determining the power output can be as follows:

[0099] ;

[0100] wherein, a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; a power output of the first micro-grid in the first preset period in the first micro-grid group, wherein the first preset period is a next preset period; The microgrid in the first The power output during a preset time period, of which the first... The current preset time period is one of the preset time periods. Used to indicate the first Within the first microgrid group The microgrid in the first The power supply priority for a preset time period, where the first... The first preset time period is the next preset time period; The normalization function is represented by the expression [-1, 1]. Based on the power supply priority of the microgrid and the current power output, the power output for the next preset time period can be determined, thereby achieving precise power allocation for each microgrid within the microgrid group.

[0101] Based on the descriptions of the foregoing embodiments, it is understood that reorganizing the microgrid group can achieve precise output control of each power-consuming node in the microgrid group, minimizing dependence on the external distribution network. However, when the microgrid group cannot maintain a balance between supply and consumption, it is also necessary to promptly initiate a power transmission request to the external distribution network to ensure that the actual power demand of the power-consuming nodes is met. Specifically, this can be achieved by traversing the microgrid group to obtain the power output of all microgrids in a future preset time period, where the future preset time period specifically refers to the next preset time period. Then, based on the power output of the next preset time period, a determination can be made as to whether external distribution network power replenishment is needed. In some embodiments, specifically, when the sum of the power output of all microgrids is greater than the power input of the shared energy storage center in the current preset time period, and the historical energy storage capacity of the shared energy storage center is less than a second preset threshold, the shared energy storage center is controlled to send a power transmission request to the external distribution network to obtain power supply from the external distribution network. Here, the sum of the power output of all microgrids being greater than the power input of the shared energy storage center in the current preset time period indicates that the output power in the next preset time period is greater than the input power in the current preset time period. The historical energy storage capacity of the shared energy storage center being less than the second preset threshold (for example, it can be 10% or 5% of the total energy storage, which is not limited here) indicates that the energy reserve stored by the shared energy storage center in the current preset time period is small. In order to ensure that there is sufficient power supply to each microgrid and power consumption node in the next preset time period, a power transmission request can be sent to the external distribution network at this time.

[0102] In some embodiments of the present disclosure, in addition to supporting the power transmission request to the external power distribution network to ensure that the actual power demand of the power consumption node is met, the shared energy storage center also supports providing grid-connected power to the external power distribution network when the energy storage is sufficient. In some embodiments, further, in order to improve the quality of the grid-connected power provided by the shared energy storage center, the shared energy storage center can be configured with a booster transformer structure for boosting the stored power through the booster transformer structure to access the external power distribution network, which is not limited here. In some embodiments, specifically, the total power output of all microgrids in the future preset period can also be obtained by traversing the microgrid group, wherein the future preset period can specifically refer to the next preset period, and then whether to deliver power to the external power distribution network is judged according to the power output in the next preset period. In some embodiments, specifically, when the sum of the power outputs of all microgrids is less than the power input of the shared energy storage center in the current preset period, and the historical energy storage capacity of the shared energy storage center is greater than a third preset threshold, the shared energy storage center sends a power supply request to the external power distribution network, and boosts the stored power through the booster transformer structure to access the external power distribution network. The sum of the power outputs of all microgrids being less than the power input of the shared energy storage center in the current preset period indicates that the output power in the next preset period is less than the input power in the current preset period, and the historical energy storage capacity of the shared energy storage center being greater than the third preset threshold (which can be 10% or 5% of the total energy storage, which is not limited here) indicates that the shared energy storage center has more excess power stored in the current preset period. In order to avoid the waste of generated power due to the inability to store newly added power in the next period, some of the excess generated power can be grid-connected to avoid waste of power generation resources.

[0103] In summary, the technical solution provided by the present disclosure can determine the independent power supply and consumption capacity of each microgrid based on the historical power supply and consumption of each power consumption node in the microgrid, and based on the geographical distribution of the microgrid, the microgrid network is allocated, so that the microgrids with complementary power supply and consumption capacity in adjacent areas can be recombined into a microgrid network with shared power supply and consumption capacity. While achieving fine power supply and consumption allocation for each power consumption node, the long-distance power transmission between the microgrid network and the external power distribution network is reduced, which can effectively improve the power supply efficiency of the existing microgrid and reduce the power loss caused by long-distance transmission. It can be flexibly applied to rural areas where new energy microgrid architecture has been laid out, and has promotional value.

[0104] It should be noted that the above-mentioned order of the embodiments of the present disclosure is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0105] The various embodiments described in this specification are presented by way of example, and each embodiment is not inherently more important than any other embodiment.

Claims

1. A method for intelligent adjustment of charging and discharging of an energy storage system of a new energy microgrid, characterized in that, The method comprises: acquiring historical power supply and consumption conditions of each power consumption node in a micro-grid; based on the historical power supply and consumption conditions, acquiring power supply capacity of a single micro-grid; based on the differences in power supply capacity of different micro-grids and the geographical distance between different micro-grids, determining a micro-grid group formed by re-networking of at least two micro-grids, wherein the micro-grid group comprises a shared energy storage center connected with each micro-grid in the micro-grid group, the shared energy storage center is connected with an external power distribution network, and supports sending power transmission and / or power supply requests to the external power distribution network; based on the power supply capacity of different micro-grids, controlling the shared energy storage center to output and regulate the micro-grids in the micro-grid group to meet the power consumption demand of each micro-grid and each power consumption node in the micro-grid; in the process of acquiring the power supply capacity of a single micro-grid, the following steps are included: based on the historical power supply and consumption conditions, acquiring power supply and consumption quantification data of each power consumption node in the micro-grid within a preset time period; for a single preset time period, acquiring average power supply and consumption quantification data and maximum power supply and consumption quantification data of each power consumption node in the micro-grid, and generating a time period power supply index of the micro-grid based on the average power supply and consumption quantification data and the maximum power supply and consumption quantification data; wherein the time period power supply index is positively correlated with the average power supply and consumption quantification data, the time period power supply index is inversely correlated with the difference between the maximum power supply and consumption quantification data and the average power supply and consumption quantification data, and the power supply capacity comprises the time period power supply index of the micro-grid; in the process of acquiring the power supply capacity of a single micro-grid, the following steps are included: in a single power supply evaluation period, acquiring historical time period power supply parameters of the micro-grid, the historical time period power supply parameters being the sum of all time period power supply indexes in the power supply evaluation period; in a single power supply evaluation period, acquiring a time period power supply difference parameter of the micro-grid, the time period power supply difference parameter being the difference between the time period power supply indexes of two adjacent preset monitoring periods in the power supply evaluation period; based on the historical time period power supply parameters and the time period power supply difference parameter, obtaining a power supply capacity index of the micro-grid; wherein the power supply capacity index is positively correlated with the average value of the historical time period power supply parameters of all preset time periods, the power supply capacity index is inversely correlated with the variance of the historical time period power supply parameters of all preset time periods, and the power supply capacity index is inversely correlated with the maximum average value of the time period power supply difference parameters of all preset time periods, and the power supply capacity comprises the power supply capacity index of the micro-grid. 2.The intelligent charging and discharging adjustment method for the energy storage system of a new energy micro-grid according to claim 1, characterized in that, The micro-grid comprises a new energy power generation system, a centralized energy storage device, and a plurality of power consumption nodes, the new energy power generation system, the centralized energy storage device, and the power consumption nodes are connected through power supply networking; The new energy power generation system comprises one or any combination of a photovoltaic power generation system, a biogas power generation system, and a wind power generation system, and the wind power generation system comprises a distributed energy storage device. The power consumption node comprises a secondary new energy power generation system, which preferentially supplies power to the corresponding power consumption node. 3.The intelligent charging and discharging method of the energy storage system of the new energy micro-grid according to claim 1, characterized in that, In the process of obtaining the historical power supply and consumption of each power consumption node in the micro-grid, the following steps are included: In a single preset monitoring period, power supply and consumption monitoring is performed based on a preset frequency to obtain the power consumption and power generation variation of the power consumption node; Based on the difference between the power generation variation and the power consumption variation, the power supply and consumption of each preset time period in the preset monitoring period is obtained; The historical power supply and consumption of the power consumption node includes the power supply and consumption of each preset time period in the plurality of preset monitoring periods. 4.The intelligent charging and discharging adjustment method for the energy storage system of a new energy micro-grid according to claim 1, characterized in that, In the process of determining a micro-grid group formed by at least two micro-grids, the following steps are included: Based on the power supply capacity and the geographical distance, the micro-grids are divided into a plurality of similar groups, the power supply similarity of any two micro-grids in each similar group is greater than a first preset threshold, the power supply similarity is inversely related to the difference in power supply capacity of the two micro-grids, the power supply similarity is inversely related to the geographical distance of the two micro-grids, and each micro-grid corresponds to a similar group; Obtain the power supply matching degree of any two similar groups, and select the two similar groups with the highest power supply matching degree to form the micro-grid group, the power supply matching degree is positively related to the difference between the average of the power supply capacity of the micro-grids in the two similar groups, and the power supply matching degree is inversely related to the central geographical distance of the two similar groups. 5.The intelligent charging and discharging adjustment method for the energy storage system of a new energy micro-grid according to claim 4, characterized in that, In the process of determining a micro-grid group formed by at least two micro-grids, the following steps are included: Based on the geographical positions of all power consumption nodes in the micro-grid group, the regional center position of the micro-grid group is determined; Obtain the centralized energy storage device of the micro-grid closest to the regional center position, and take the centralized energy storage device as the shared energy storage center of the micro-grid group. 6.The intelligent charging and discharging adjustment method for the energy storage system of a new energy micro-grid according to claim 1, characterized in that, In the process of controlling the shared energy storage center to output regulate the micro-grids in the micro-grid group, the following steps are included: According to the power supply capacity of the micro-grids in the micro-grid group, the power supply priority of the micro-grids in the future preset time period is determined, wherein the power supply priority is inversely related to the power supply capacity index of the micro-grid, and the power supply priority is positively related to the ratio of the time period power supply index of the previous preset time period to the time period power supply index of the current preset time period; According to the power supply priority of the future preset time period and the power output of the micro-grid in the current preset time period, the power output of the micro-grid in the future preset time period is determined to realize the output regulation of the micro-grid. 7.The intelligent charging and discharging method of the energy storage system of the new energy micro-grid according to claim 6, characterized in that, In the process of controlling the shared energy storage center to output regulate the micro-grids in the micro-grid group, the following steps are included: Iterate through the micro-grid group to obtain the corresponding power output of all micro-grids in the future preset time period; When the sum of the power output of all the microgrids is greater than the power input of the shared energy storage center in a preset period, and the historical energy storage capacity of the shared energy storage center is less than a second preset threshold, the shared energy storage center is controlled to send the power transmission request to the external power grid to obtain power from the external power grid. 8.The intelligent charging and discharging method of the energy storage system of the new energy micro-grid according to claim 6 or 7, characterized in that, The shared energy storage center comprises a booster transformer structure. In the process of controlling the shared energy storage center to output regulate the microgrids in the microgrid group, the following steps are further included: The microgrid group is traversed to obtain the power output of all the microgrids in a future preset period; When the sum of the power output of all the microgrids is less than the power input of the shared energy storage center in a preset period, and the historical energy storage capacity of the shared energy storage center is greater than a third preset threshold, the shared energy storage center is controlled to send the power supply request to the external power grid, and the stored power is boosted by the booster transformer structure to access the external power grid.

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