Microgrid control method and device, storage medium, electronic equipment and computer program product

Abstract

The invention discloses a micro-grid control method and device, a storage medium, electronic equipment and a computer program product. The method comprises the following steps: establishing a connection relationship based on a constructed electrical topological nested structure, wherein the electrical topological nested structure comprises a first micro-grid system and at least two second micro-grid systems; collecting first operation state data and second operation state data of the first micro-grid system and third operation state data of the second micro-grid system; determining frequency data of the electrical topology nested structure according to the first operation state data and the second operation state data; and determining a first adjustment range of the active power data of the at least two second micro-grid systems according to the frequency data of the electrical topology nested structure and the third operation state data.

Description

Technical Field

[0001] The present application relates to the field of microgrids, and specifically to a microgrid control method, device, storage medium, electronic device and computer program product. Background Art

[0002] As the proportion of photovoltaic, wind power and other new energy sources connected to the grid continues to increase, the bidirectional fluctuation of the current poses a challenge to the safe and stable operation of the grid. Microgrids are an important medium for the consumption of distributed new energy. By flexibly adjusting the energy storage configuration of microgrids, distributed new energy can be connected to microgrids in a friendly manner, and have the ability to support the grid. It can also improve the power supply reliability of the regional grid and the consumption capacity of distributed new energy.

[0003] Distributed renewable energy, mainly distributed photovoltaics, is mostly connected through medium and low voltage distribution networks and deeply coupled with loads. Distributed renewable energy presents the characteristics of multiple points, wide range and heterogeneous models. It is costly and difficult to operate and maintain to uniformly connect all distributed renewable energy in the region to a single microgrid control system. It can be considered to hierarchically partition microgrids according to different voltage levels and different access locations, connect distributed renewable energy to the nearest microgrid system for control, and optimize and coordinate microgrids at different levels to achieve overall economic and reliable operation of multi-level microgrids.

[0004] However, the inventors of this application have discovered that the current microgrid architecture relies on high-speed interaction of information between multiple levels, but the feeder lines in the distribution network are long, the distribution points of each substation are numerous and widespread, the communication distances between levels are far, and the use of high-speed communication standards to establish a communication network (such as fiber optic networking) is costly, which has great limitations in actual application. Summary of the invention

[0005] According to one aspect of the present application, a microgrid control method is provided. The microgrid control method includes: establishing a connection relationship based on a constructed electrical topology nested structure, wherein the electrical topology nested structure includes a first microgrid system and at least two second microgrid systems; collecting first operating status data, second operating status data of the first microgrid system, and third operating status data of the second microgrid system; determining frequency data of the electrical topology nested structure based on the first operating status data and the second operating status data; determining a first adjustment range of active power data of at least two second microgrid systems based on the frequency data and the third operating status data of the electrical topology nested structure.

[0006] According to some embodiments of the present application, after the above-mentioned step of determining the first adjustment range of the active power data of at least two second microgrid systems based on the frequency data and the third operating status data of the electrical topology nested structure, the method also includes: collecting fourth operating status data of each second microgrid system in the at least two second microgrid systems; determining the average energy storage charge state of the at least two second microgrid systems based on the fourth operating status data; determining the second adjustment range of the active power data of each second microgrid system in the at least two second microgrid systems based on the fourth status data, the average energy storage charge state and the first adjustment range.

[0007] According to some embodiments of the present application, the step of determining the frequency data of the electrical topology nested structure according to the first operating state data and the second operating state data may include: in the SOC dy >SOC dy_h In the case of , the frequency data of the electrical topology nesting structure is determined according to the following formula:

[0008]

[0009] In SOC dy_l ≤SOC dy ≤SOC dy_h In the case of , the frequency data of the electrical topology nested structure is the rated frequency data of the electrical topology nested structure;

[0010] In SOC dy <SOC dy_l In the case of , the frequency data of the electrical topology nesting structure is determined according to the following formula:

[0011]

[0012] Among them, SOC dy is the energy storage charge state of the first microgrid system, SOC dy_h is the upper limit of the energy storage charge state of the first microgrid system, SOC dy_l is the lower limit of the energy storage charge state of the first microgrid system, f is the frequency data of the electrical topology nesting structure, and f n is the rated frequency data of the electrical topology nested structure, f max is the maximum value of the frequency data of the electrical topology nested structure, f min is the minimum value of the frequency data of the electrical topology nested structure, P dy is the real-time active power of the first microgrid system, and P dy_max The maximum active power of the first microgrid system.

[0013] According to some embodiments of the present application, the step of determining the first adjustment range of the active power data of the second microgrid system according to the frequency data of the electrical topology nested structure and the third operating state data may include: l In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula:

[0014]

[0015] In f l ≤f<f n In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula:

[0016]

[0017] When f ≥ f n In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is the lower limit of the active power of the second microgrid system;

[0018] When f>f h In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula:

[0019]

[0020] In f n <f≤f h In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula:

[0021]

[0022] When f≤f n In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is the upper limit of the active power of the second microgrid system;

[0023] Among them, P de_min1 is the lower limit of the first adjustment range of the active power data of the second microgrid system, P de_max1 is the upper limit of the first adjustment range of the active power data of the second microgrid system, P de_xx is the lower limit of active power of the second microgrid system, and P de_sx is the upper limit of active power of the second microgrid system, f h is the high value of the frequency data of the electrical topology nested structure, f l The low value of the frequency data for the electrical topology nesting structure.

[0024] According to some embodiments of the present application, the step of determining the average energy storage charge state of at least two second microgrid systems according to the fourth operating state data may include: determining the average energy storage charge state of at least two second microgrid systems according to the following formula:

[0025]

[0026] in, is the average energy storage charge state of at least two second microgrid systems, SOC de_i is the energy storage charge state of the i-th second microgrid system, P de— bess_max_i is the maximum active power of energy storage in the i-th second microgrid system, and n is the number of second microgrid systems.

[0027] According to some embodiments of the present application, the step of determining the second adjustment range of the active power data of each second microgrid system in at least two second microgrid systems according to the fourth state data, the average energy storage charge state and the first adjustment range may include: In this case, the lower limit of the second adjustment range of the active power data of each second microgrid system is the lower limit of the first adjustment range of the active power data of the second microgrid system.

[0028] The upper limit of the second adjustment range of the active power data of each second microgrid system is determined according to the following formula:

[0029]

[0030] exist In the case of, the lower limit of the second adjustment range of the active power data of the second microgrid system is determined according to the following formula:

[0031]

[0032] The upper limit of the second adjustment range of the active power data of each second microgrid system is the upper limit of the first adjustment range of the active power data of the second microgrid system;

[0033] Among them, P de_min2_i is the lower limit of the second adjustment range of the active power data of the i-th second microgrid system, P de_max2_i is the upper limit of the second adjustment range of the active power data of the i-th second microgrid system.

[0034] According to some embodiments of the present application, the first microgrid system is a feeder microgrid system.

[0035] According to some embodiments of the present application, the second microgrid system is a substation microgrid system.

[0036] According to one aspect of the present application, a microgrid control device is provided, the device comprising a control unit, a data acquisition unit and a processing unit. The control unit constructs an electrical topology nested structure, wherein the electrical topology nested structure comprises a first microgrid system and at least two second microgrid systems. The data acquisition unit collects first operating status data, second operating status data of the first microgrid system and third operating status data of the second microgrid system. The processing unit determines the frequency data of the electrical topology nested structure based on the first operating status data and the second operating status data, and the processing unit also determines the first adjustment range of the active power data of the second microgrid system based on the frequency data and the third operating status data of the electrical topology nested structure.

[0037] According to some embodiments of the present application, the data acquisition unit further acquires fourth operating status data of each of the at least two second microgrid systems. The processing unit further determines the average energy storage charge state of the at least two second microgrid systems based on the fourth operating status data, and the processing unit further determines the second adjustment range of the active power data of each of the at least two second microgrid systems based on the fourth status data, the average energy storage charge state and the first adjustment range.

[0038] According to one aspect of the present application, a non-volatile computer-readable storage medium is also provided, on which a computer program is stored. When the computer program is executed by a processor, the microgrid control method as described above can be implemented.

[0039] According to one aspect of the present application, an electronic device is also provided, comprising: one or more processors; a storage device for storing one or more programs, which, when the one or more programs are executed by one or more processors, enables the one or more processors to implement the microgrid control method as described above.

[0040] According to one aspect of the present application, a computer program product is also provided, comprising: a computer program stored on a computer-readable storage medium; the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer executes the microgrid control method as described above.

[0041] Through the above-mentioned embodiments, the present application determines the frequency data of the electrical topology nested structure by collecting the operating status data of the first microgrid system and the second microgrid system, and determines the adjustment range of the active power of the second microgrid system according to the frequency data. The present application abandons the long-distance, highly reliable and fast communication between multi-level microgrid systems. The present application transmits information through the electrical characteristics of the region, and each level exchanges a small amount of information based on minute-level weak communication, thereby achieving the goal of coordinated optimization of the energy storage capacity of each substation microgrid system, simplifying the complexity of control. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0043] Figure 1 A schematic flow chart of a microgrid control method 1000 according to an embodiment of the present application is shown;

[0044] Figure 2 A schematic diagram showing a structural diagram of an electrical topology nested structure according to an embodiment of the present application;

[0045] Figure 3 A schematic diagram showing a curve of the frequency data of the electrical topology nested structure according to an embodiment of the present application being dynamically adjusted according to the energy storage charge state of the first microgrid system;

[0046] Figure 4 A schematic diagram showing a curve of a frequency data change of a first adjustment range according to an embodiment of the present application according to an electrical topology nested structure;

[0047] Figure 5 A schematic diagram showing a flow chart of a microgrid control method 2000 according to an embodiment of the present application;

[0048] Figure 6 A schematic structural diagram of a microgrid control device 300 according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0049] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.

[0050] The described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of these specific details, or other modes, components, materials, devices, etc. may be adopted. In these cases, known structures, methods, devices, implementations, materials or operations will not be shown or described in detail.

[0051] In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0052] The terms "first", "second" and the like in the specification and claims of this application and the above drawings are used to distinguish different objects rather than to describe a specific order.

[0053] The following is a clear and complete description of the technical solution of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0054] According to one aspect of the present application, a microgrid control method is provided. Figure 1 The microgrid control method 1000 includes steps S110-S140. Exemplarily, the microgrid control method 1000 may be executed by a control system.

[0055] In step S110, a connection relationship is established based on the constructed electrical topology nested structure. The electrical topology nested structure includes a first microgrid system and at least two second microgrid systems.

[0056] For example, in step S110, the control system establishes a connection relationship based on the constructed electrical topology nested structure. Figure 2 The electrical topology nested structure includes a first microgrid system and at least two second microgrid systems. The at least two second microgrid systems are both connected to the first microgrid system.

[0057] Optionally, the first microgrid system may be a feeder microgrid system, which may be a 10 kV or 35 kV high-voltage microgrid system. The second microgrid system may be a substation microgrid system, which may be a 400 V low-voltage microgrid system.

[0058] According to the example embodiment, the substation microgrid system can be configured with distributed energy storage, distributed new energy and other loads. For example, the distributed new energy can be distributed wind energy and distributed light energy, and other loads can be charging piles and residential loads. On the feeder connected to the substation microgrid system, centralized energy storage, centralized new energy and other loads with high level and large capacity relative to distributed energy storage can be configured.

[0059] Exemplarily, a controller may also be provided in the first microgrid system, and the controller may be a programmable logic controller (PLC). For example, a feeder microgrid system may be provided with a feeder microgrid controller. Since resources are relatively concentrated between the feeder microgrid controller and the energy storage of the feeder microgrid system, a strong communication wired connection at the second level may be used to collect operating status data of the feeder microgrid system.

[0060] Exemplarily, each of the at least two second microgrid systems may be provided with a controller, for example, each substation microgrid system is provided with a substation feeder microgrid controller. Since the resources between the substation feeder microgrid controller and the energy storage of the substation microgrid system are relatively concentrated, the operation status data of the substation microgrid system can be collected through a second-level strong communication wired connection. Due to the long communication distance between the feeder microgrid controller and each substation feeder microgrid controller, a minute-level wireless weak communication connection can be established to exchange operation status data.

[0061] According to the example embodiment, the electrical topology nested structure can also be connected to the upper-level power grid system. For example, the feeder microgrid system is also connected to the upper-level power grid through the feeder grid connection point. In the event of a fault outside the area of ​​the electrical topology nested structure, the feeder grid connection point switch is disconnected, the feeder microgrid system is out of power, and the control system can restore the power supply of the feeder microgrid system within T1 time by black start, thereby establishing a nested operation mode of the feeder microgrid system and the substation microgrid system.

[0062] In step S120, first operating status data, second operating status data of the first microgrid system, and third operating status data of the second microgrid system are collected.

[0063] For example, in step S120, the control system may collect first operating status data, second operating status data of the first microgrid system, and third operating status data of the second microgrid system in real time through the controller.

[0064] According to an example embodiment, the first operating status data is operating status data of the first microgrid system (feeder microgrid system) collected by the control system through the controller of the first microgrid system. For example, the first operating status data may include the real-time active power of the first microgrid system and the energy storage charge state of the first microgrid system.

[0065] For example, the real-time active power of the first microgrid system may be the real-time active power of the energy storage in the feeder microgrid system. The energy storage charge state of the first microgrid system may be the energy storage charge state of the feeder microgrid system.

[0066] According to an example embodiment, the second operating status data is the operating status data of the first microgrid system (feeder microgrid system) set according to the use requirements and industry standards. For example, the second operating status data may include the rated frequency data of the electrical topology nested structure, the maximum value of the frequency data of the electrical topology nested structure, the minimum value of the frequency data of the electrical topology nested structure, the maximum active power of the first microgrid system, the lower limit of the energy storage charge state of the first microgrid system, the upper limit of the energy storage charge state of the first microgrid system, the high value of the frequency data of the electrical topology nested structure, and the low value of the frequency data of the electrical topology nested structure.

[0067] According to an example embodiment, the rated frequency data of the electrical topology nested structure is the same as the rated frequency data of the first microgrid system, and is the same as the rated frequency data of the second microgrid system. For example, according to the "GB / 15945-2008 Power Quality-Power System Frequency Deviation" standard, the rated frequency data of the electrical topology nested structure can be preset to 50 Hz.

[0068] The maximum value of the frequency data of the electrical topology nested structure is the same as the rated frequency data of the first microgrid system, and is the same as the rated frequency data of the second microgrid system. For example, according to the standard "GB / 15945-2008 Power Quality-Frequency Deviation of Power System", the maximum value of the frequency data of the electrical topology nested structure can be preset to 50.5Hz.

[0069] The minimum frequency data value of the electrical topology nested structure is the same as the rated frequency data value of the first microgrid system, and is the same as the rated frequency data value of the second microgrid system. For example, according to the standard "GB / 15945-2008 Power Quality-Power System Frequency Deviation", the minimum frequency data value of the electrical topology nested structure can be preset to 49.5Hz.

[0070] The maximum active power of the first microgrid system may be the maximum active power of the energy storage in the feeder microgrid system, which is determined by the configured energy storage itself.

[0071] The lower limit of the energy storage charge state of the first microgrid system may be the lower limit of the energy storage charge state of the feeder microgrid system, and may be preset to 10%.

[0072] The upper limit of the energy storage state of charge of the first microgrid system may be preset as the upper limit of the energy storage state of charge of the feeder microgrid system, which may be preset as 90%.

[0073] The high value of the frequency data of the electrical topology nested structure can be preset as a value between the rated frequency data of the electrical topology nested structure and the maximum value of the frequency data of the electrical topology nested structure. For example, the high value of the frequency data of the electrical topology nested structure can be preset as a value between 50 Hz and 50.5 Hz.

[0074] The low value of the frequency data of the electrical topology nested structure can be preset as a value between the rated frequency data of the electrical topology nested structure and the minimum value of the frequency data of the electrical topology nested structure. The high value of the frequency data of the electrical topology nested structure can be preset as a value between 49.5 Hz and 50 Hz.

[0075] According to an example embodiment, the third operating state data is operating state data of the second microgrid system set according to usage requirements and industry standards. For example, the third operating state data may include an active power lower limit of the second microgrid system and an active power upper limit of the second microgrid system.

[0076] The lower limit of the active power of the second microgrid system can be based on the lower limit of the active power that meets the equipment operation safety constraints in the substation microgrid system. For example, if the substation transformer is a 400kVA system, in order to meet the requirement that the reverse power does not exceed the limit, the lower limit of the active power of the second microgrid system can be preset to -320kW.

[0077] The upper limit of the active power of the second microgrid system can be based on the upper limit of the active power that meets the equipment operation safety constraints in the substation microgrid system. For example, if the substation transformer is a 400kVA system, in order to meet the requirement that the forward power does not exceed the limit, the lower limit of the active power of the second microgrid system can be preset to 320kW.

[0078] In step S130, frequency data of the electrical topology nested structure is determined according to the first operating state data and the second operating state data.

[0079] For example, in step S130, the control system calculates frequency data of the electrical topology nested structure according to the first operating state data and the second operating state data.

[0080] According to an example embodiment, see Figure 3 , in SOC dy >SOC dy_h In the case of, the control system can determine the frequency data of the electrical topology nested structure according to the following formula:

[0081]

[0082] See also Figure 3 , in SOC dy_l ≤SOC dy ≤SOC dy_hIn the case of , the frequency data of the electrical topology nested structure is the rated frequency data of the electrical topology nested structure, that is, f = f n ;

[0083] See also Figure 3 , in SOC dy <SOC dy_l In the case of , the frequency data of the electrical topology nesting structure is determined according to the following formula:

[0084]

[0085] Among them, SOC dy is the energy storage charge state of the first microgrid system, SOC dy_h is the upper limit of the energy storage charge state of the first microgrid system, SOC dy_l is the lower limit of the energy storage charge state of the first microgrid system, f is the frequency data of the electrical topology nesting structure, and f n is the rated frequency data of the electrical topology nested structure, f max is the maximum value of the frequency data of the electrical topology nested structure, f min is the minimum value of the frequency data of the electrical topology nested structure, P dy is the real-time active power of the first microgrid system, and P dy_max The maximum active power of the first microgrid system, f h is the high value of the frequency data of the electrical topology nested structure, f l The low value of the frequency data for the electrical topology nesting structure.

[0086] For example, in the second state data collected by the control system, SOC dy_h =90%, SOC dy_l =10%, f n =50Hz, f max =50.5Hz, f min =49.5Hz, P dy_max =2000kW.

[0087] Scenario 1: SOC in the first operating state data collected by the control system dy =95%, P dy =-400kW, the control system determines SOC dy >SOC dy_h , then calculate:

[0088] f=50.3Hz.

[0089] Scenario 2: SOC in the first operating state data collected by the control system dy =95%, P dy =1200kW, the control system determines SOCdy >SOC dy_h , then calculate:

[0090] f=50.1Hz.

[0091] Scenario 3: SOC in the first operating state data collected by the control system dy =50%, P dy =500kW, the control system determines SOC dy_l ≤SOC dy ≤SOC dy_h , then calculate:

[0092] f=50Hz.

[0093] Scenario 4: SOC in the first operating state data collected by the control system dy =5%, P dy =-1200kW, the control system determines SOC dy <SOC dy_l , then calculate:

[0094] f=49.9Hz.

[0095] Scenario 5: SOC in the first operating state data collected by the control system dy =5%, P dy =400kW, the control system determines SOC dy <SOC dy_l , then calculate:

[0096] f=49.7Hz.

[0097] In step S140, a first adjustment range of active power data of at least two second microgrid systems is determined according to the frequency data of the electrical topology nested structure and the third operating state data.

[0098] For example, in step S140, the control system determines a first adjustment range of active power data of at least two second microgrid systems according to the frequency data of the electrical topology nested structure and the third operating state data. The first adjustment range is the adjustment range of active power data of at least two microgrid systems.

[0099] According to an example embodiment, see Figure 4 , when f<f l In the case of, the control system determines the lower limit of the first adjustment range of the active power data of the second microgrid system according to the following formula:

[0100]

[0101] See also Figure 4 , in fl ≤f<f n In the case of, the control system determines the lower limit of the first adjustment range of the active power data of the second microgrid system according to the following formula:

[0102]

[0103] See also Figure 4 , when f ≥ f n In the case of, the control system determines that the lower limit of the first adjustment range of the active power data of the second microgrid system is the lower limit of the active power of the second microgrid system, that is, P de_min1 =P de_xx ;

[0104] See also Figure 4 , when f>f h In the case of, the control system determines the upper limit of the first adjustment range of the active power data of the second microgrid system according to the following formula:

[0105]

[0106] See also Figure 4 , in f n <f≤f h In the case of, the control system determines the upper limit of the first adjustment range of the active power data of the second microgrid system according to the following formula:

[0107]

[0108] See also Figure 4 , when f≤f n In the case of, the control system determines that the upper limit of the first adjustment range of the active power data of the second microgrid system is the upper limit of the active power of the second microgrid system;

[0109] Among them, P de_min1 is the lower limit of the first adjustment range of the active power data of the second microgrid system, P de_max1 is the upper limit of the first adjustment range of the active power data of the second microgrid system, P de_xx is the lower limit of active power of the second microgrid system, and P de_sx is the upper limit of active power of the second microgrid system, f h is the high value of the frequency data of the electrical topology nested structure, f l The low value of the frequency data for the electrical topology nesting structure.

[0110] According to an example embodiment, after the control system determines the first adjustment range of the active power data of at least two second microgrid systems, the second microgrid system can coordinate the energy storage and other resources of the second microgrid system to control the active power data of the second microgrid system within the first adjustment range. For example, the substation microgrid system can control the active power of the substation microgrid system within the first adjustment range by coordinating the energy storage, wind and solar and other resources within the substation microgrid system.

[0111] For example, f in the second operating state data collected by the control system h =50.2Hz, f l =49.8Hz, the third operating state data collected by the control system P de_xx =-320kW, P de_sx =320kW.

[0112] In the above scenario 1, the control system determines f = 50.3 Hz and judges that f > f h If de_min1 =-320kW, P de_max1 =-106.7kW, then the first adjustment range of at least two substation microgrid systems is [-320kW, -106.7kW].

[0113] In the above scenario 2, the control system determines f = 50.1Hz and determines f n <f≤f h If de_min1 =-320kW, P de_max1 =160kW, then the first adjustment range of at least two substation microgrid systems is [-320kW, 160kW].

[0114] In the above scenario 3, the control system determines f = 50 Hz and determines f = f n If de_min1 =-320kW, P de_max1 =320kW, then the first adjustment range of at least two substation microgrid systems is [-320kW, 320kW].

[0115] In the above scenario 4, the control system determines f = 49.9 Hz and determines f l ≤f<f n If de_min1 =-160kW, P de_max1 =320kW, then the first adjustment range of at least two substation microgrid systems is [-160kW, 320kW].

[0116] In the above scenario 5, the control system determines that f = 49.7 Hz and judges that f < fl If de_min1 =106.7kW, P de_max1 =320kW, then the first adjustment range of at least two substation microgrid systems is [106.7kW, 320kW].

[0117] According to the example embodiment, in the event of a failure in the second microgrid system (substation microgrid system), the control system can delay for T2 time, and T2>T1, disconnect the substation grid-connected point switch, and the control system can restore the power supply of the substation microgrid system within T2 time by black start, and balance the active power and energy of the substation microgrid system by coordinating wind, light and other resources within the substation microgrid system.

[0118] Through the above-mentioned embodiments, the present application determines the frequency data of the electrical topology nested structure by collecting the operating status data of the first microgrid system and the second microgrid system, and determines the adjustment range of the active power of the second microgrid system according to the frequency data. The present application abandons the long-distance, highly reliable and fast communication between multi-level microgrid systems. The present application transmits information through the electrical characteristics of the region, and each level exchanges a small amount of information based on minute-level weak communication, thereby achieving the goal of coordinated optimization of the energy storage capacity of each substation microgrid system, simplifying the complexity of control.

[0119] Although the current control method of the microgrid architecture can achieve self-correction of each second microgrid system under different operating conditions, it does not take into account the balanced and coordinated control of the energy storage charge state of multiple second microgrid systems, resulting in poor reliability during off-grid operation.

[0120] Optionally, the present application also provides a microgrid control method 2000, see Figure 5 , method 2000 includes steps S210 to S270.

[0121] Steps S210 to S240 are the same as the above-mentioned steps S110 to S140 and are not described in detail here.

[0122] In step S250, fourth operating status data of each second microgrid system of at least two second microgrid systems is collected.

[0123] For example, in step S250, the control system collects fourth operating status data of each second microgrid system through the controller of the second microgrid system.

[0124] According to an example embodiment, the fourth operating status data is the operating status data of the second microgrid system (substation microgrid system) collected by the control system through the controller of the second microgrid system. The controller of the second microgrid system can send the fourth operating status data to the controller of the first microgrid system through minute-level weak communication. For example, the fourth operating status data includes the maximum active power of each second microgrid system and the energy storage charge state of each second microgrid system.

[0125] The maximum active power of the second microgrid system may be the maximum active power of energy storage in the substation microgrid system. The energy storage charge state of the second microgrid system may be the energy storage charge state of the substation microgrid system.

[0126] In step S260, the average energy storage charge state of at least two second microgrid systems is determined according to the fourth operating status data.

[0127] For example, in step S260, the control system may calculate the average energy storage charge state of at least two second microgrid systems based on the fourth operating status data.

[0128] According to an example embodiment, the control system determines the average energy storage charge state of at least two second microgrid systems according to the following formula:

[0129]

[0130] in, is the average energy storage charge state of at least two second microgrid systems, SOC de_i is the energy storage charge state of the i-th second microgrid system, P de— bess_max_i is the maximum active power of energy storage in the i-th second microgrid system, and n is the number of second microgrid systems.

[0131] For example, the first microgrid system includes three second microgrid systems, that is, the feeder microgrid system includes three substation microgrid systems, and the fourth operating status data of each substation microgrid system collected by the control system are respectively:

[0132] The fourth operating state data of the first area microgrid system is: SOC de_1 =20%, P de_bess_max_1 =300kW, P de_min1 =-320kW, P de_max1 =320kW.

[0133] The fourth operating state data of the second area microgrid system is: SOC de_2 =50%, P de_bess_max_2 =300kW, P de_min1 =-320kW, Pde_max1 =320kW.

[0134] The fourth operating status data of the microgrid system in the third substation is: SOC de_3 =80%, P de_bess_max_3 =300kW, P de_min1 =-320kW, P de_max1 =320kW.

[0135] The control system calculates

[0136] In step S270, a second adjustment range of active power data of each of the at least two second microgrid systems is determined according to the fourth state data, the average energy storage charge state and the first adjustment range.

[0137] For example, in step S270, the control system determines a second adjustment range of active power data of each of the at least two second microgrid systems according to the fourth state data, the average energy storage charge state and the first adjustment range. The second adjustment range is the adjustment range of active power data of each second microgrid system determined on the basis of the first adjustment range, taking into account the difference in energy storage state of each second microgrid system.

[0138] According to an example embodiment, the control system determines that In the case of , the control system determines that the lower limit of the second adjustment range of the active power data of each second microgrid system is the lower limit of the first adjustment range of the active power data of the second microgrid system, that is, P de_min2_i =P de_min1 ;

[0139] The control system determines the upper limit of the second adjustment range of the active power data of each second microgrid system according to the following formula:

[0140]

[0141] The control system determines that In the case of, the control system determines the lower limit of the second adjustment range of the active power data of the second microgrid system according to the following formula:

[0142]

[0143] The control system determines that the upper limit of the second adjustment range of the active power data of each second microgrid system is the upper limit of the first adjustment range of the active power data of the second microgrid system, that is, P de_max2_i =P de_max1 ;

[0144] Among them, Pde_min2_i is the lower limit of the second adjustment range of the active power data of the i-th second microgrid system, P de_max2_i is the upper limit of the second adjustment range of the active power data of the i-th second microgrid system.

[0145] For example, the control system determines that the first area microgrid system If de_min2_1 =-320kW, P de_max2_1 =128kW, thereby determining the second adjustment range of the first substation microgrid system [-320kW, 128kW].

[0146] The control system determines that the second area microgrid system If de_min2_2 =-320kW, P de_max2_2 =320kW, thereby determining the second adjustment range of the second substation microgrid system [-320kW, 320kW].

[0147] The control system determines that the third area microgrid system If de_min2_3 =-128kW, P de_max2_3 =320kW, thus determining the second adjustment range of the microgrid system in the third substation [-128kW, 320kW].

[0148] Through the above-mentioned embodiments, by collecting the energy storage charge state of each second microgrid system, the adjustment range of the active power of each second microgrid system can be balanced and coordinated to control, which solves the problem of coordinated control between long-distance and multi-level microgrids and improves the overall operation reliability of the nested microgrid.

[0149] According to one aspect of the present application, a microgrid control device 300 is provided. Figure 6 The microgrid control device 300 includes a control unit 31, a data acquisition unit 32 and a processing unit 33. The control unit 31 constructs an electrical topology nested structure, wherein the electrical topology nested structure includes a first microgrid system and at least two second microgrid systems. The data acquisition unit 32 acquires first operating state data, second operating state data of the first microgrid system and third operating state data of the second microgrid system. The processing unit 33 determines the frequency data of the electrical topology nested structure according to the first operating state data and the second operating state data. The processing unit 33 also determines the first adjustment range of the active power data of the second microgrid system according to the frequency data and the third operating state data of the electrical topology nested structure.

[0150] According to the exemplary embodiment, the data acquisition unit 32 also acquires fourth operating status data of each of the at least two second microgrid systems. The processing unit 33 also determines the average energy storage charge state of the at least two second microgrid systems based on the fourth operating status data, and the processing unit 33 also determines the second adjustment range of the active power data of each of the at least two second microgrid systems based on the fourth status data, the average energy storage charge state and the first adjustment range.

[0151] According to one aspect of the present application, a non-volatile computer-readable storage medium is also provided, on which a computer program is stored. When the computer program is executed by a processor, the microgrid control method as described above can be implemented.

[0152] According to one aspect of the present application, an electronic device is also provided, comprising: one or more processors; a storage device for storing one or more programs, which, when the one or more programs are executed by one or more processors, enables the one or more processors to implement the microgrid control method as described above.

[0153] According to one aspect of the present application, a computer program product is also provided, comprising: a computer program stored on a computer-readable storage medium; the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer executes the microgrid control method as described above.

[0154] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions of the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A microgrid control method, characterized in that: The method comprises: Establishing a connection relationship based on the constructed electrical topology nested structure, wherein the electrical topology nested structure includes a first microgrid system and at least two second microgrid systems; Collecting first operating status data, second operating status data of the first microgrid system and third operating status data of the second microgrid system; Determining frequency data of the electrical topology nested structure according to the first operating state data and the second operating state data; A first adjustment range of active power data of the at least two second microgrid systems is determined according to the frequency data of the electrical topology nested structure, the second operating state and the third operating state data.

2. The microgrid control method according to claim 1, characterized in that: After determining a first adjustment range of active power data of the at least two second microgrid systems according to the frequency data of the electrical topology nested structure and the third operating state data, the method further includes: Collecting fourth operating status data of each of the at least two second microgrid systems; Determining an average energy storage charge state of the at least two second microgrid systems according to the fourth operating state data; A second adjustment range of active power data of each of the at least two second microgrid systems is determined according to the fourth state data, the average energy storage charge state and the first adjustment range.

3. The microgrid control method according to claim 2, characterized in that: Determining the frequency data of the electrical topology nested structure according to the first operating state data and the second operating state data includes: In SOC dy >SOC dy_h In the case of, the frequency data of the electrical topology nested structure is determined according to the following formula: In SOC dy_l ≤SOC dy ≤SOC dy_h In the case of , the frequency data of the electrical topology nested structure is the rated frequency data of the electrical topology nested structure; In SOC dy <SOC dy_l In the case of, the frequency data of the electrical topology nested structure is determined according to the following formula: Among them, SOC dy is the energy storage charge state of the first microgrid system, SOC dy_h is the upper limit of the energy storage state of charge of the first microgrid system, SOC dy_l is the lower limit of the energy storage charge state of the first microgrid system, f is the frequency data of the electrical topology nested structure, and f n is the rated frequency data of the electrical topology nested structure, f max is the maximum value of the frequency data of the electrical topology nested structure, f min is the minimum value of the frequency data of the electrical topology nested structure, P dy is the real-time active power of the first microgrid system, and P dy_max The maximum active power of the first microgrid system.

4. The microgrid control method according to claim 3, characterized in that: Determining a first adjustment range of active power data of the second microgrid system according to the frequency data of the electrical topology nested structure and the third operating state data includes: When f<f l In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula: In f l ≤f<f n In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula: When f ≥ f n In the case of, the lower limit of the first adjustment range of the active power data of the second microgrid system is the lower limit of the active power of the second microgrid system; When f>f h In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula: In f n <f≤f h In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is determined according to the following formula: When f≤f n In the case of, the upper limit of the first adjustment range of the active power data of the second microgrid system is the upper limit of the active power of the second microgrid system; Among them, P de_min1 is the lower limit of the first adjustment range of the active power data of the second microgrid system, P de_max1 is the upper limit of the first adjustment range of the active power data of the second microgrid system, P de_xx is the lower limit of active power of the second microgrid system, and P de_sx is the upper limit of active power of the second microgrid system, f h is the high value of the frequency data of the electrical topology nested structure, f l The frequency data low value of the electrical topology nested structure.

5. The microgrid control method according to claim 4, characterized in that: Determining the average energy storage charge state of the at least two second microgrid systems according to the fourth operating state data includes: The average energy storage charge state of the at least two second microgrid systems is determined according to the following formula: in, is the average energy storage charge state of the at least two second microgrid systems, SOC de_i is the energy storage charge state of the i-th second microgrid system, P de— bess_max_i is the maximum active power stored in the i-th second microgrid system, and n is the number of the second microgrid systems.

6. The microgrid control method according to claim 5, characterized in that: Determining the second adjustment range of active power data of each of the at least two second microgrid systems according to the fourth state data, the average energy storage charge state and the first adjustment range comprises: exist In the case of, the lower limit of the second adjustment range of the active power data of each of the second microgrid systems is the lower limit of the first adjustment range of the active power data of the second microgrid system; The upper limit of the second adjustment range of the active power data of each of the second microgrid systems is determined according to the following formula: exist In this case, the lower limit of the second adjustment range of the active power data of the second microgrid system is determined according to the following formula: The upper limit of the second adjustment range of the active power data of each of the second microgrid systems is the upper limit of the first adjustment range of the active power data of the second microgrid system; Among them, P de_min2_i is the lower limit of the second adjustment range of the active power data of the i-th second microgrid system, P de_max2_i is the upper limit of the second adjustment range of the active power data of the i-th second microgrid system.

7. The microgrid control method according to claim 1, characterized in that: The first microgrid system is a feeder microgrid system.

8. The microgrid control method according to claim 1, characterized in that: The second microgrid system is a substation microgrid system.

9. A microgrid control device, characterized in that: The device comprises: A control unit is configured to construct an electrical topology nested structure, wherein the electrical topology nested structure includes a first microgrid system and at least two second microgrid systems; A data acquisition unit, collecting first operating status data, second operating status data of the first microgrid system and third operating status data of the second microgrid system; The processing unit determines the frequency data of the electrical topology nested structure based on the first operating status data and the second operating status data. The processing unit also determines the first adjustment range of the active power data of the second microgrid system based on the frequency data of the electrical topology nested structure and the third operating status data.

10. The microgrid control device according to claim 11, characterized in that: The data acquisition unit further acquires fourth operating status data of each of the at least two second microgrid systems; The processing unit also determines the average energy storage charge state of the at least two second microgrid systems based on the fourth operating status data, and the processing unit also determines the second adjustment range of the active power data of each of the at least two second microgrid systems based on the fourth status data, the average energy storage charge state and the first adjustment range.

11. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the microgrid control method according to any one of claims 1 to 8 is implemented.

12. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the microgrid control method as described in any one of claims 1 to 8.

13. A computer program product, characterized in that The invention comprises a computer program stored on a computer-readable storage medium, wherein the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer is caused to execute the microgrid control method according to any one of claims 1 to 8.

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