An AC-DC hybrid microgrid load shedding method, device, equipment and medium

Abstract

The present invention discloses a method, device, equipment and medium for load shedding in an AC-DC hybrid microgrid. The load shedding method for the AC-DC hybrid microgrid proposed by the present invention classifies the AC-DC hybrid microgrid based on the analysis of the load weights of the microgrid, and grades the loads. Considering the impacts of the loads in the AC microgrid and the DC microgrid on the AC-DC hybrid microgrid, a reasonable classification of the AC-DC hybrid microgrid is carried out. The load shedding strategy is applicable to the AC-DC hybrid microgrid, which helps to guide the load access of the AC-DC hybrid microgrid and optimize the operation of the AC-DC hybrid microgrid.

Description

Technical Field

[0001] The present invention belongs to the technical field of microgrids, and particularly relates to an AC-DC hybrid microgrid load shedding method, device, equipment and medium. Background Art

[0002] Carbon neutrality has become the focus of attention worldwide. As an important way to achieve carbon neutrality, new energy power generation is being increasingly connected to the power grid. The AC-DC hybrid microgrid can give full play to the comprehensive efficiency of new energy, and at the same time avoid the disadvantages of more power electronic conversion links in AC microgrids and DC microgrids. It is one of the development directions of future smart grids. However, there is little research on existing AC-DC hybrid microgrids, and it mainly focuses on control and protection. There is no relevant research on the classification of AC-DC hybrid microgrids based on load analysis and the corresponding load shedding strategies. If the existing distribution network load shedding strategy is used for load shedding in the AC-DC hybrid microgrid, and the load is cut off based on manual experience judgment, it is difficult to grasp the load shedding sequence, which will affect the reliability of the power grid operation. Summary of the Invention

[0003] The purpose of the present invention is to provide an AC-DC hybrid microgrid load shedding method, device, equipment and medium to solve the problem in the prior art that load shedding based on manual judgment affects the reliability of power grid operation.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] In the first aspect of the present invention, an AC-DC hybrid microgrid load shedding method is provided, including the following steps:

[0006] Obtain the confidence capacity of power generation equipment, load capacity and the number of load users in the AC-DC hybrid microgrid; wherein, the AC-DC hybrid microgrid includes an AC microgrid and a DC microgrid;

[0007] Calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of power generation equipment, load capacity and the number of load users;

[0008] Calculate the weighted load of the AC microgrid and the weighted load of the DC microgrid based on the weight of each load, and classify the AC-DC hybrid microgrid according to the weighted load of the AC microgrid and the weighted load of the DC microgrid;

[0009] Based on the weight of each load, grade the loads in descending order of weight;

[0010] Generate a load shedding instruction for the load according to different categories of the AC-DC hybrid microgrid and the grading of the load.

[0011] As a preferred embodiment of the present invention, the method for calculating the weight of the loads in the AC microgrid is as follows:

[0012] In the AC microgrid, the confidence capacities of s power generation devices are G11, G12,..., G1s respectively, the capacities of i loads are P11, P12,..., P1i respectively, the number of load users are r11, r12,..., r1i respectively, and the assigned values of the load importance levels are M11, M12,..., M1i respectively;

[0013] The weight of the t-th load in the AC microgrid is:

[0014] K1t = M1t * (0.5 * P1t / (P11 + P12 +... + P1i + P21 + P22 +... + P2j) + 0.5 * r1t / (r11 + r12 +... + r1i + r21 + r22 +... + r2j)), where t = 1, 2, 3,..., i.

[0015] As a preferred embodiment of the present invention, the method for calculating the weight of the loads in the DC microgrid is as follows:

[0016] In the DC microgrid, the confidence capacities of u power generation devices are G21, G22,..., G2u respectively, the capacities of j loads are P21, P22,..., P2j respectively, the number of load users are r21, r22,..., r2i respectively, and the assigned values of the load importance levels are M21, M22,..., M2j respectively;

[0017] The weight of the a-th load in the DC microgrid is:

[0018] K2a = M2a * (P2a / (P11 + P12 +... + P1i + P21 + P22 +... + P2j) + 0.5 * r2a / (r11 + r12 +... + r1i + r21 + r22 +... + r2j)), where a = 1, 2, 3,..., j.

[0019] As a preferred embodiment of the present invention, the weighted load of the AC microgrid is: P1 = K11 * P11 +... + K1i * P1i; the weighted load of the DC microgrid is: P2 = K21 * P21 +... + K2j * P2j.

[0020] As a preferred embodiment of the present invention, the steps for classifying the AC-DC hybrid microgrid according to the weighted load of the AC microgrid and the weighted load of the DC microgrid are as follows:

[0021] If P1 > P2 and P1 - P2 > 0.4P2, the AC-DC hybrid microgrid is a heavy-AC and light-DC type hybrid microgrid;

[0022] If P2 > P1 and P2 - P1 > 0.4P1, the AC-DC hybrid microgrid is a light-AC and heavy-DC type hybrid microgrid;

[0023] If P1 > P2 and P1 - P2 ≤ 0.4P2, or P2 > P1 and P2 - P1 ≤ 0.4P1, the AC-DC hybrid microgrid is an equivalent AC-DC hybrid microgrid.

[0024] As a preferred solution of the present invention, the step of classifying the loads according to the weights of each load in descending order of weights is specifically as follows:

[0025] The loads in the AC-DC hybrid microgrid are divided into 5 levels. The first level is the most important load, and no load shedding operation is performed;

[0026] The remaining loads are sorted in descending order of weights, and the loads are successively divided into the 2nd, 3rd, 4th, and 5th levels according to the proportions of 10%, 20%, 30%, and 40% respectively.

[0027] As a preferred solution of the present invention, the step of generating an instruction for load shedding based on different categories of the AC-DC hybrid microgrid and the classification of the loads specifically includes:

[0028] When there is a load capacity gap PQ, load shedding is performed in the order of the 5th, 4th, 3rd, and 2nd level loads; in a heavy-AC light-DC hybrid microgrid, DC loads are preferentially shed, in a light-AC heavy-DC hybrid microgrid, AC loads are preferentially shed, and in an equivalent AC-DC hybrid microgrid, loads with fewer users or smaller capacities are preferentially shed.

[0029] In the second aspect of the present invention, an AC-DC hybrid microgrid load shedding device is provided, including:

[0030] An acquisition module, configured to acquire the confidence capacity of power generation equipment, load capacity, and the number of load users in the AC-DC hybrid microgrid;

[0031] A weight calculation module, configured to calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of power generation equipment, load capacity, and the number of load users;

[0032] A microgrid classification module, configured to calculate the weighted loads of the AC microgrid and the weighted loads of the DC microgrid based on the weight of each load, and classify the AC-DC hybrid microgrid according to the weighted loads of the AC microgrid and the weighted loads of the DC microgrid;

[0033] A load classification module, configured to classify the loads in descending order of weights based on the weight of each load;

[0034] A load shedding module, configured to generate an instruction for load shedding based on different categories of the AC-DC hybrid microgrid and the classification of the loads.

[0035] In a third aspect of the present invention, there is provided an electronic device, including a processor and a memory, where the processor is configured to execute a computer program stored in the memory to implement the AC-DC hybrid microgrid load shedding method as described above.

[0036] In a fourth aspect of the present invention, there is provided a computer-readable storage medium storing at least one instruction, and when the at least one instruction is executed by a processor, the AC-DC hybrid microgrid load shedding method as described above is implemented.

[0037] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0038] The AC-DC hybrid microgrid load shedding method proposed by the present invention classifies the AC-DC hybrid microgrid based on the analysis of microgrid load weights, and grades the loads. Considering the impacts of the loads in the AC microgrid and the DC microgrid on the AC-DC hybrid microgrid, a reasonable classification of the AC-DC hybrid microgrid is carried out. The load shedding strategy is applicable to the AC-DC hybrid microgrid, which helps to guide the load access of the AC-DC hybrid microgrid and optimize the operation of the AC-DC hybrid microgrid. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The specification drawings forming a part of this application are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0040] Figure 1 is a flowchart of the AC-DC hybrid microgrid load shedding method according to an embodiment of the present invention.

[0041] Figure 2 is a schematic diagram of load grading in an embodiment of the present invention.

[0042] Figure 3 is a schematic diagram of the topology of the AC-DC hybrid microgrid in an embodiment of the present invention.

[0043] Figure 4 is a structural block diagram of an AC-DC hybrid microgrid load shedding device according to an embodiment of the present invention.

[0044] Figure 5 is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments. It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other.

[0046] The following detailed descriptions are all exemplary descriptions, aiming to provide further detailed explanations for the present invention. Unless otherwise specified, all technical terms adopted in the present invention have the same meanings as commonly understood by those of ordinary skill in the art to which this application belongs. The terms used in the present invention are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention.

[0047] Embodiment 1

[0048] As Figure 1 shown, a method for shedding loads in an AC-DC hybrid microgrid includes the following steps:

[0049] S1. Obtain the confidence capacity of power generation equipment, the load capacity, and the number of load users in the AC-DC hybrid microgrid; wherein, the AC-DC hybrid microgrid includes an AC microgrid and a DC microgrid. As Figure 3 shown, the AC-DC hybrid microgrid mentioned in the embodiment of the present invention is composed of an AC microgrid, a DC microgrid, interface M1, interface M2, and interface M3. Among them, interface M1 is used to connect the AC microgrid and the large power grid, interface M2 is used to connect the DC microgrid and the large power grid, and interface M3 is used to connect the AC microgrid and the DC microgrid.

[0050] S2. Calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of power generation equipment, the load capacity, and the number of load users.

[0051] In this step S2, the method for calculating the weight of loads in the AC microgrid is as follows: The confidence capacities of s power generation equipment in the AC microgrid are G11, G12... G1s respectively, the capacities of i loads are P11, P12... P1i respectively, the numbers of load users are r11, r12... r1i respectively, and the assignment of load importance levels are M11, M12... M1i respectively; the assignment of load importance levels is determined by the power supply guarantee priority of the load. The higher the power supply guarantee priority of the load, the greater its load importance level. The weight of the t-th load in the AC microgrid is:

[0052] K1t = M1t * (0.5 * P1t / (P11 + P12... + P1i + P21 + P22... + P2j) + 0.5 * r1t / (r11 + r12... + r1i + r21 + r22... + r2j)), t = 1, 2, 3... i.

[0053] In this step S2, the method for calculating the weight of the loads in the DC microgrid is as follows: The confidence capacities of the u power generation devices in the DC microgrid are G21, G22... G2u respectively, the capacities of the j loads are P21, P22... P2j respectively, the number of load users are r21, r22... r2i respectively, and the assigned values of the load importance levels are M21, M22... M2j respectively; the assigned values of the load importance levels are determined by the power supply guarantee priorities of the loads. The higher the power supply guarantee priority of the load, the greater its load importance level. The weight of the a-th load in the DC microgrid is:

[0054] K2a = M2a * (P2a / (P11 + P12... + P1i + P21 + P22... + P2j) + 0.5 * r2a / (r11 + r12... + r1i + r21 + r22... + r2j)), a = 1, 2, 3... j.

[0055] S3. Calculate the weighted loads of the AC microgrid and the DC microgrid based on the weight of each load, and classify the AC-DC hybrid microgrid according to the weighted loads of the AC microgrid and the DC microgrid.

[0056] In this step S3, the weighted load of the AC microgrid is: P1 = K11 * P11 +... K1i * P1i; the weighted load of the DC microgrid is: P2 = K21 * P21 +... K2j * P2j.

[0057] In this step S3, the steps for classifying the AC-DC hybrid microgrid are as follows:

[0058] If P1 > P2 and P1 - P2 > 0.4P2, the AC-DC hybrid microgrid is a heavy-AC light-DC type hybrid microgrid;

[0059] If P2 > P1 and P2 - P1 > 0.4P1, the AC-DC hybrid microgrid is a light-AC heavy-DC type hybrid microgrid;

[0060] If P1 > P2 and P1 - P2 ≤ 0.4P2, or P2 > P1 and P2 - P1 ≤ 0.4P1, the AC-DC hybrid microgrid is an AC-DC equal type hybrid microgrid.

[0061] S4. Based on the weight of each load, rank the loads in descending order of weight.

[0062] In this step S4, the steps for ranking the loads are as follows:

[0063] The loads in the AC-DC hybrid microgrid are divided into five levels. The first level is the most important load, and no load shedding operation is performed. The remaining loads are sorted from high to low according to the combined weights of K1t and K2a and numbered in sequence. The loads are divided into the second, third, fourth, and fifth levels according to the proportions of 10%, 20%, 30%, and 40% respectively. Specifically, the most important load is not subject to load shedding under any circumstances. The weights of the remaining loads except the first-level loads are counted, and the remaining loads are sorted in descending order of weight and numbered in sequence. The loads ranked in the top 10% are used as the second-level loads, the loads ranked between 10% and 30% (excluding 10%) are used as the third-level loads, the loads ranked between 30% and 60% (excluding 30%) are used as the fourth-level loads, and the loads ranked between 60% and 100% (excluding 60%) are used as the fifth-level loads. After the load level classification is completed, the second-level loads account for 10% of the remaining loads, the third-level loads account for 20% of the remaining loads, the fourth-level loads account for 30% of the remaining loads, and the fifth-level loads account for 40% of the remaining loads, as Figure 2 shown.

[0064] S5. Generate load shedding instructions according to different types of AC-DC hybrid microgrids and the load classification.

[0065] In this step S5, the steps for load shedding specifically include:

[0066] When both interfaces M1 and M2 fail, the AC-DC hybrid microgrid operates in island mode, and the load capacity gap is PQ = G11 + …… G1s + G21 + …… G2u - (P11 + …… P1i + P21 + …… P2j).

[0067] When a load capacity gap appears, load shedding is performed in the order of the fifth, fourth, third, and second-level loads; in a heavy AC-light DC hybrid microgrid, DC loads are preferentially shed, in a light AC-heavy DC hybrid microgrid, AC loads are preferentially shed, and in an equal AC-DC hybrid microgrid, loads with fewer users or smaller capacities are preferentially shed. In some other embodiments, loads with fewer users are preferentially shed, and when the number of users is the same, loads with smaller capacities are shed.

[0068] For example, the fifth-level loads are divided into AC loads and DC loads. When the load capacity gap PQ is less than the fifth-level loads, the type of the AC-DC hybrid microgrid is judged:

[0069] (1) For the heavy AC - light DC hybrid micro - grid, first cut all the DC loads in the 5th - level load, and then arrange the AC loads in descending order of the number of users r1t and number them. According to the order of the numbers, divide the AC loads in the 5th - level load into two levels on average, that is, the first 50% is the 1st level and the last 50% is the 2nd level. Prioritize cutting the 2nd - level load in ascending order of the load capacity P1t; when the 2nd - level load is still less than the capacity gap, cut the 1st - level load in ascending order of the load capacity P1t.

[0070] It should be noted that in the above - mentioned embodiment, arranging the AC loads in the order of the number of users and cutting the 2nd level with fewer users first is to minimize the number of users affected by the power outage. Among the 2nd - level loads, cutting the ones with smaller load capacity first is to minimize the load capacity affected by the power outage and prevent over - cutting of loads.

[0071] (2) For the light AC - heavy DC hybrid micro - grid, first cut all the AC loads in the 5th - level load, and then arrange the DC loads in descending order of the number of users r2a and number them. According to the numbers, divide the 5th - level DC loads into two levels on average, and prioritize cutting the 2nd - level load in ascending order of the load capacity P2a; when the 2nd - level load is still less than the capacity gap, cut the 1st - level load in ascending order of the load capacity P2a.

[0072] It should be noted that in the above - mentioned embodiment, arranging the DC loads in the order of the number of users and cutting the 2nd level with fewer users first is to minimize the number of users affected by the power outage. Among the 2nd - level loads, cutting the ones with smaller load capacity first is to minimize the load capacity affected by the power outage and prevent over - cutting of loads.

[0073] (3) For the equal - AC - DC hybrid micro - grid, arrange the AC loads and DC loads in descending order of the number of users r1t and r2a and number them. According to the numbers, divide the 5th - level load into two levels on average, and prioritize cutting the 2nd - level load in ascending order of the load capacities P1t and P2a; when the 2nd - level load is still less than the capacity gap, cut the 1st - level load in ascending order of the load capacities P1t and P2a.

[0074] It should be noted that in the above - mentioned embodiment, arranging the AC loads and DC loads in the order of the number of users and cutting the 2nd level with fewer users first is to minimize the number of users affected by the power outage. Among the 2nd - level loads, cutting the ones with smaller load capacity first is to minimize the load capacity affected by the power outage and prevent over - cutting of loads. For example, if only 3w needs to be cut, cutting 10w first from high to low will cause more power outages, and it is appropriate to cut the 1w and 2w loads first.

[0075] When the load capacity gap PQ is greater than the fifth-level load, all of the fifth-level load is cut off, and the remaining load capacity gap is cut off in the order of the fourth-level load, the third-level load, and the second-level load. The cutting method is the same as that of the above-mentioned fifth-level load.

[0076] Embodiment 2

[0077] An AC-DC hybrid microgrid load shedding device, comprising:

[0078] An acquisition module, configured to acquire the confidence capacity of power generation equipment, the load capacity, and the number of load users in the AC-DC hybrid microgrid;

[0079] A weight calculation module, configured to calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of the power generation equipment, the load capacity, and the number of load users;

[0080] A microgrid classification module, configured to calculate the weighted load of the AC microgrid and the weighted load of the DC microgrid based on the weight of each load, and classify the AC-DC hybrid microgrid according to the weighted load of the AC microgrid and the weighted load of the DC microgrid;

[0081] A load grading module, configured to grade the loads in descending order of weight based on the weight of each load;

[0082] A load shedding module, configured to generate an instruction for load shedding according to different categories of the AC-DC hybrid microgrid and the grading of the loads.

[0083] Embodiment 3

[0084] The present invention also provides an electronic device 100 for implementing a method for shedding load in an AC-DC hybrid microgrid; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104. The memory 101 can be used to store the computer program 103. The processor 102 realizes the steps of the method for shedding load in the AC-DC hybrid microgrid in Embodiment 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 may mainly include a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the electronic device 100 (such as audio data, etc.). In addition, the memory 101 may include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. The at least one processor 102 may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or the processor 102 may also be any conventional processor, etc. The processor 102 is the control center of the electronic device 100 and connects various parts of the entire electronic device 100 through various interfaces and lines.

[0085] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a method for shedding load in an AC-DC hybrid microgrid, and the processor 102 can execute the plurality of instructions to implement:

[0086] Obtain the confidence capacity of the power generation equipment, the load capacity, and the number of load users in the AC-DC hybrid microgrid; wherein, the AC-DC hybrid microgrid includes an AC microgrid and a DC microgrid;

[0087] Calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of the power generation equipment, the load capacity, and the number of load users;

[0088] Based on the weights of each load, the weighted load of the AC microgrid and the weighted load of the DC microgrid are calculated, and the AC-DC hybrid microgrid is classified according to the weighted load of the AC microgrid and the weighted load of the DC microgrid;

[0089] Based on the weights of each load, the loads are classified in descending order of weights;

[0090] According to the different categories of the AC-DC hybrid microgrid and the classification of the loads, an instruction for load shedding is generated.

[0091] Embodiment 4

[0092] If the modules / units integrated in the electronic device 100 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above embodiment methods of the present invention, it can also be completed by a computer program instructing relevant hardware. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, and read-only memory (ROM, Read-Only Memory).

[0093] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0094] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, and the combination of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementing in the process Figure 1one or more processes and / or blocks Figure 1 means for the functions specified in one or more blocks

[0095] These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the processes Figure 1 one or more processes and / or blocks Figure 1 the functions specified in one or more blocks

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more processes and / or blocks Figure 1 one or more blocks

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific implementation manners of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.

Claims

1. A method for load shedding in an AC / DC hybrid microgrid, characterized in that, It includes the following steps: Obtain the confidence capacity of power generation equipment, load capacity, and the number of load users in the AC-DC hybrid microgrid; wherein, the AC-DC hybrid microgrid includes an AC microgrid and a DC microgrid; Calculate the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of power generation equipment, load capacity, and the number of load users; Calculate the weighted load of the AC microgrid and the weighted load of the DC microgrid based on the weight of each load, and classify the AC-DC hybrid microgrid according to the weighted load of the AC microgrid and the weighted load of the DC microgrid; Based on the weight of each load, sort the loads in descending order of weight; Generate an instruction for load shedding according to different categories of the AC-DC hybrid microgrid and the classification of the loads; The method for calculating the weight of loads in the AC microgrid is as follows: The confidence capacities of s power generation equipment in the AC microgrid are G11, G12... G1s respectively, the capacities of i loads are P11, P12... P1i respectively, the numbers of load users are r11, r12... r1i respectively, and the assignment values of load importance are M11, M12... M1i respectively; The weight of the t-th load in the AC microgrid is: K1t = M1t * (0.5 * P1t / (P11... + P1i + P21... + P2j) + 0.5 * r1t / (r11... + r1i + r21... + r2j)), t = 1, 2, 3... i; The method for calculating the weight of loads in the DC microgrid is as follows: The confidence capacities of u power generation equipment in the DC microgrid are G21, G22... G2u respectively, the capacities of j loads are P21, P22... P2j respectively, the numbers of load users are r21, r22... r2i respectively, and the assignment values of load importance are M21, M22... M2j respectively; The weight of the a-th load in the DC microgrid is: K2a = M2a * (P2a / (P11... + P1i + P21... + P2j) + 0.5 * r2a / (r11... + r1i + r21... + r2j)), a = 1, 2, 3... j; The weighted load of the AC microgrid is: P1 = K11 * P11 +... K1i * P1i; the weighted load of the DC microgrid is: P2 = K21 * P21 +... K2j * P2j.

2. The AC-DC hybrid microgrid load shedding method according to claim 1, characterized in that The step of classifying the AC-DC hybrid microgrid according to the weighted load of the AC microgrid and the weighted load of the DC microgrid is specifically as follows: If P1 > P2 and P1 - P2 > 0.4P2, the AC-DC hybrid microgrid is a heavy-AC light-DC type hybrid microgrid; If P2 > P1 and P2 - P1 > 0.4P1, the AC-DC hybrid microgrid is a light-AC heavy-DC type hybrid microgrid; If P1 > P2 and P1 - P2 ≤ 0.4P2, or P2 > P1 and P2 - P1 ≤ 0.4P1, the AC-DC hybrid microgrid is an AC-DC equal type hybrid microgrid.

3. The AC-DC hybrid microgrid load shedding method according to claim 2, wherein The step of sorting the loads in descending order of weight based on the weight of each load is specifically as follows: The loads in the AC-DC hybrid microgrid are divided into 5 levels. The first level is the most important load and no load shedding operation is performed; Sort the remaining loads in descending order of weight, and divide the loads into the 2nd, 3rd, 4th, and 5th levels in sequence according to the proportions of 10%, 20%, 30%, and 40% respectively.

4. The AC / DC hybrid microgrid load shedding method according to claim 3, wherein The step of generating an instruction for load shedding based on different categories of the AC-DC hybrid microgrid and the classification of the loads specifically includes: When there is a load capacity gap PQ, load shedding is performed in the order of the 5th, 4th, 3rd, and 2nd level loads; in a heavy-AC and light-DC hybrid microgrid, DC loads are preferentially shed, in a light-AC and heavy-DC hybrid microgrid, AC loads are preferentially shed, and in an equal-AC-and-DC hybrid microgrid, loads with fewer users or smaller capacities are preferentially shed.

5. A load shedding device for an AC-DC hybrid microgrid, characterized in that, It includes: An acquisition module for acquiring the confidence capacity of power generation equipment, load capacity, and the number of load users in the AC-DC hybrid microgrid; A weight calculation module for calculating the weight of each load in the AC microgrid and the DC microgrid based on the confidence capacity of the power generation equipment, load capacity, and the number of load users; A microgrid classification module for calculating the weighted loads of the AC microgrid and the weighted loads of the DC microgrid based on the weight of each load, and classifying the AC-DC hybrid microgrid according to the weighted loads of the AC microgrid and the weighted loads of the DC microgrid; A load classification module for classifying the loads in descending order of weight based on the weight of each load; A load shedding module for generating an instruction for load shedding based on different categories of the AC-DC hybrid microgrid and the classification of the loads; The method for calculating the weight of the loads in the AC microgrid is as follows: The confidence capacities of s power generation equipment in the AC microgrid are G11, G12... G1s respectively, the capacities of i loads are P11, P12... P1i respectively, the numbers of load users are r11, r12... r1i respectively, and the assignment values of load importance are M11, M12... M1i respectively; The weight of the t-th load in the AC microgrid is: K1t = M1t * (0.5 * P1t / (P11... + P1i + P21... + P2j) + 0.5 * r1t / (r11... + r1i + r21... + r2j)), t = 1, 2, 3... i; The method for calculating the weight of the loads in the DC microgrid is as follows: The confidence capacities of u power generation equipment in the DC microgrid are G21, G22... G2u respectively, the capacities of j loads are P21, P22... P2j respectively, the numbers of load users are r21, r22... r2i respectively, and the assignment values of load importance are M21, M22... M2j respectively; The weight of the a-th load in the DC microgrid is: K2a = M2a * (P2a / (P11... + P1i + P21... + P2j) + 0.5 * r2a / (r11... + r1i + r21... + r2j)), a = 1, 2, 3... j; The weighted load of the AC microgrid is: P1 = K11 * P11 +... K1i * P1i; the weighted load of the DC microgrid is: P2 = K21 * P21 +... K2j * P2j.

6. An electronic device, characterized in that, It includes a processor and a memory, and the processor is used to execute a computer program stored in the memory to implement the AC-DC hybrid microgrid load shedding method described in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one instruction, and when the at least one instruction is executed by a processor, it implements the AC-DC hybrid microgrid load shedding method described in any one of claims 1 to 4.

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