Micro-grid group scheduling method and system based on multiple resources

Abstract

The invention relates to the technical field of power system scheduling, and provides a microgrid group scheduling method and system based on multiple resources, and the method comprises the steps: constructing a centralized task scheduling center based on a microgrid group; basic resource parameters of the micro-grid group are collected, and resource models are constructed for different resources of the micro-grid group; constructing a resource scheduling model based on the centralized task scheduling center and the resource model; solving the resource scheduling model in the resource scheduling model by taking minimization of the operation cost of the micro-grid group and maximization of the profit of the centralized task scheduling center as targets to obtain a micro-grid group scheduling scheme, and scheduling the micro-grid group through the centralized task scheduling center based on the micro-grid group scheduling scheme. According to the method, the coordination and the utilization efficiency of different resources in the micro-grid group are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system dispatching, and in particular relates to a microgrid group dispatching method and system based on multiple resources. Background Art

[0002] A microgrid is a small, distributed power system that can operate independently or in conjunction with the main grid. Microgrids can promote the integration of renewable energy, optimize energy management, and improve economic benefits. Since microgrids can operate independently from the main grid, they can supply power autonomously when the main grid fails, ensuring stable power supply to key facilities. Secondly, microgrids can effectively integrate renewable energy such as solar and wind energy, reduce dependence on traditional fossil energy, and promote green development. In addition, microgrids optimize energy production, distribution, and consumption through intelligent control systems, improve overall energy efficiency, and reduce electricity costs during peak hours through self-generation and energy storage management, promoting energy independence and sustainable development of the community.

[0003] At present, the existing microgrid dispatching system often focuses only on the optimization of power resources, and fails to fully consider the dispatching of other important resources. This single resource consideration will lead to many defects. For example, ignoring the dispatching of carbon resources may make it impossible for the microgrid to effectively reduce greenhouse gas emissions while meeting power demand, and fail to achieve true sustainable development. Or the lack of comprehensive consideration of computing resources may limit the computing efficiency of the control system, resulting in slow decision-making and dispatching response, and unable to adapt to load fluctuations and changes in renewable energy in real time, thereby reducing the flexibility and reliability of the overall microgrid. This limitation may cause the microgrid to fail to achieve the expected results of the original dispatching plan in dealing with complex energy environments. Summary of the invention

[0004] In order to overcome the defect of the prior art described above that a plurality of resources are not considered in the scheduling scheme, resulting in insufficient coordination of multi-dimensional resources by the microgrid group, the present invention proposes a microgrid group scheduling method and system based on multiple resources.

[0005] In order to achieve the above technical effects, the technical solution of the present invention is as follows:

[0006] A multi-resource based microgrid group scheduling method comprises the following steps:

[0007] A centralized task dispatching center is constructed based on the microgrid group; resources are interacted between the centralized task dispatching center and the microgrid group;

[0008] Collect basic resource parameters of microgrid groups and build resource models for different resources;

[0009] Building a resource scheduling model based on the centralized task scheduling center and the resource model; the resource scheduling model includes the operation cost of the microgrid group and the profit of the centralized task scheduling center;

[0010] In the resource scheduling model, the resource scheduling model is solved with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center, and a microgrid group scheduling plan is obtained. Based on the microgrid group scheduling plan, the microgrid group is scheduled through the centralized task scheduling center.

[0011] The present invention also proposes a multi-resource based microgrid group dispatching system, the system comprising:

[0012] Centralized task dispatching center module: used to build a centralized task dispatching center and interact with resources between microgrid groups;

[0013] Resource model building module: used to collect basic resource parameters of the microgrid group and build resource models for different resources;

[0014] Resource scheduling model construction and solution module: used to construct a resource scheduling model based on the centralized task scheduling center and the resource model; solve the resource scheduling model with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center to obtain a microgrid group scheduling plan; input the microgrid group scheduling plan into the centralized task scheduling center module to realize the scheduling of the microgrid group.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] The present invention builds a centralized task dispatching center to participate in coordinating the interaction of various resources in a microgrid group. Through unified management, the coordination between resources is enhanced, so that various resources can cooperate efficiently. Subsequently, by building a resource dispatching model, multi-dimensional resources are included in the dispatching scope, and the coordination between various resources is comprehensively considered, so as to achieve dynamic balance and collaborative dispatching. Finally, the dispatching plan of the microgrid is solved with the operating cost of the microgrid group and the profit of the centralized task dispatching center as the target, so as to effectively control the operating cost of the system, maximize the economic benefits, and significantly improve the overall operating efficiency of the microgrid group, thereby promoting the optimal allocation of energy resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a flow chart of the multi-resource based microgrid group scheduling method of Example 1.

[0018] Figure 2 This is a resource interaction diagram based on a centralized task scheduling center.

[0019] Figure 3This is an architecture diagram of a microgrid group scheduling system based on multiple resources of Example 2. DETAILED DESCRIPTION

[0020] The accompanying drawings are only used for illustrative purposes and are not to be construed as limiting the present invention;

[0021] It is understandable to those skilled in the art that some well-known descriptions may be omitted in the drawings.

[0022] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0023] Example 1

[0024] This embodiment proposes a microgrid group scheduling method based on multiple resources, such as Figure 1 As shown, it is a flow chart of the microgrid group scheduling method based on multiple resources of this embodiment.

[0025] The multi-resource based microgrid group scheduling method proposed in this embodiment includes the following steps:

[0026] A centralized task dispatching center is constructed based on the microgrid group; resources are interacted between the centralized task dispatching center and the microgrid group;

[0027] Collect basic resource parameters of microgrid groups and build resource models for different resources;

[0028] Building a resource scheduling model based on the centralized task scheduling center and the resource model; the resource scheduling model includes the operation cost of the microgrid group and the profit of the centralized task scheduling center;

[0029] In the resource scheduling model, the resource scheduling model is solved with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center, and a microgrid group scheduling plan is obtained. Based on the microgrid group scheduling plan, the microgrid group is scheduled through the centralized task scheduling center.

[0030] In this embodiment, a centralized task dispatching center is first constructed to participate in coordinating the interaction of various resources in the microgrid group. A resource dispatching model is constructed between the centralized task dispatching center and the microgrid group based on the resource model. The resource dispatching model is solved with the microgrid group operating cost and the centralized task dispatching center profit as the target to obtain a dispatching plan. This embodiment improves the utilization efficiency of resources within the microgrid group through the centralized task dispatching center, improves the overall adaptability of the microgrid group by solving the resource dispatching model, reduces unnecessary energy loss, and promotes sustainable development.

[0031] In an optional embodiment, the resource model includes the resource interaction amount between the centralized task scheduling center and the microgrid group and the basic resource parameters, and the resource model expresses the outflow and inflow relationship of any resource in the microgrid group.

[0032] In this embodiment, the outflow and inflow relationship of any resource is clarified separately, and the dynamic changes of resources in the microgrid group are monitored to provide a data basis for the subsequent resource scheduling model.

[0033] In an optional embodiment, the resources include: power resources, carbon resources and computing power resources; the operating cost of the microgrid group includes power consumption cost, computing power cost, carbon emission cost and computing equipment depreciation cost, and the calculation expression of the operating cost of the microgrid group is as follows:

[0034]

[0035] Where T is the unit time period, is the power consumption cost of the microgrid group at time t, is the computing cost of the mth device in the microgrid group at time t, is the carbon emission cost of the microgrid group at time t, is the number of computing devices in a single microgrid, MG,t Calculate the depreciation cost of equipment in the microgrid.

[0036] like Figure 2 As shown, it is a resource interaction diagram based on a centralized task scheduling center, in which the centralized task scheduling center can purchase resources from the carbon trading center, power grid, and computing power network, and then bidirectional flow of resources occurs with the microgrid group through the multi-task signal processor (MMSP).

[0037] Further optionally, the power consumption cost includes the power purchase cost of the microgrid from the centralized task dispatching center, the power sales income of the microgrid, and the compensation income from the power resource transaction. The calculation expression of the power consumption cost is as follows:

[0038]

[0039] Where I is the number of microgrids in the microgrid group, is the electricity purchase cost of the i-th microgrid at time t, is the electricity sales revenue of the i-th microgrid at time t, is the compensation income of the electric resource transaction of the i-th microgrid at time t; is the electricity purchase price of the i-th microgrid from other internal microgrids at time t; is the amount of electricity purchased by the i-th microgrid from other microgrids at time t, is the electricity purchase price of the i-th microgrid from the centralized task dispatching center at time t; is the amount of electricity purchased by the i-th microgrid from the centralized task dispatching center at time t; is the amount of electricity sold by the i-th microgrid at time t; is the electricity price of the i-th microgrid at time t; is the compensation unit price at time t.

[0040] Specifically, resource parameters for power resources include renewable energy and Energy storage equipment Local energy demand Calculation equipment consumption The expression of the resource model of power resources is as follows:

[0041]

[0042] in, The power resources purchased by the microgrid group from the centralized task dispatch center, It is the power resource traded within the microgrid group. Electricity resources sold for microgrid clusters.

[0043] For renewable energy and represents the solar energy generated by the i-th microgrid at time t, It represents the wind energy produced by the i-th microgrid at time t; its calculation formula is as follows:

[0044]

[0045] Among them, τ s Indicates the efficiency of converting solar radiation into electrical energy, S s Represents the active radiation area of ​​the solar panel, I s Expressed as solar radiation intensity. η w represents the wind power conversion rate, α w represents the air density at the scene, θ w represents the fan rotor area, v w represents the wind speed at time t, and I is the number of microgrids in the microgrid group.

[0046] For energy storage devices It represents the electric energy stored and released by the i-th microgrid at time t, and its expression is as follows:

[0047]

[0048] in, and represent the conversion efficiency of BESS charging and discharging, They represent the charging and discharging power of the energy storage system at time t respectively.

[0049] For local energy needs Essential load and elastic load Its expression is as follows:

[0050]

[0051] For computing equipment consumption It represents the power consumed by the computing device of the i-th microgrid at time t, and its expression is as follows:

[0052]

[0053] Among them, U t To calculate the CPU utilization of the device, is the maximum power during operation, is the power during idle time.

[0054] In this embodiment, by considering the resource model of power resources consumed by renewable energy, energy storage equipment, local energy demand and computing equipment, and by subdividing resource types, the characteristics of various types of power resources can be captured more accurately, so that the scheduling strategy can be flexibly adjusted according to the immediate availability of resources, making the obtained electricity cost more accurate, and the scheduling strategy can be better calculated in the resource scheduling model.

[0055] In an optional embodiment, the carbon resource cost includes carbon purchase cost, carbon sale income and compensation income from carbon resource trading. The calculation expression of the carbon resource cost is as follows:

[0056]

[0057] in, is the carbon purchase cost of the i-th microgrid at time t; is the carbon sales income of the i-th microgrid at time t; is the compensation income of carbon resource trading of the i-th microgrid at time t; is the carbon resources purchased by the i-th microgrid from other microgrids at time t; is the carbon resource purchased by the i-th microgrid from the centralized task dispatching center at time t, is the carbon resources sold by the i-th microgrid at time t; is the price of carbon resources purchased by the i-th microgrid from other microgrids at time t; is the price of carbon resources purchased by the i-th microgrid from the centralized task dispatching center at time t; is the real-time price of carbon resources sold in the microgrid at time t; is the real-time compensation price of carbon resources of the i-th microgrid at time t.

[0058] Specifically, the resource parameters for carbon resources include energy storage equipment Local carbon emission requirements Computing equipment carbon emissions and free carbon quotas The resource model of carbon resources is expressed as follows:

[0059]

[0060] in, Carbon resources purchased from the centralized task dispatch center for the microgrid group, It is the carbon resource traded within the microgrid group. Carbon resources sold for microgrid clusters.

[0061] For energy storage devices It represents the carbon resources stored and released by the i-th microgrid at time t, and its expression is as follows:

[0062]

[0063] Among them, σ bess is the carbon flow density of the energy storage device.

[0064] For local carbon emission requirements Essential load and elastic load Its expression is as follows:

[0065]

[0066] Among them, σ L is the carbon flow density of local energy.

[0067] Carbon emissions from computing equipment Divided into microgrid equipment carbon emissions and centralized task dispatch center equipment Carbon emissions.

[0068]

[0069] In this implementation, in this embodiment, by incorporating the carbon resource model of energy storage equipment, local energy demand and computing equipment carbon consumption, and conducting a detailed analysis of carbon emission demand, the characteristics of various types of carbon resources can be captured more accurately, so that the subsequent resource scheduling model can be flexibly adjusted according to the real-time availability of resources, thereby making the calculation of carbon resource costs more accurate, and the optimized scheduling plan can be formulated more effectively in the resource scheduling model.

[0070] In an optional embodiment, the computing power cost includes: the computing power purchase cost of the microgrid, the computing power sales income of the microgrid, and the compensation income of the computing power resource transaction; the calculation expression of the computing power cost is as follows:

[0071]

[0072] in, is the computing power purchase cost of the mth computing device in the i-th microgrid at time t; is the revenue from selling computing power of the mth computing device in the i-th microgrid at time t; is the compensation income of the computing power resource transaction of the mth computing device in the i-th microgrid at time t; The computing resources purchased by the mth computing device in the ith microgrid from other microgrids at time t; The computing resources purchased by the mth computing device in the i-th microgrid from the centralized task scheduling center at time t, is the carbon resource sold by the mth computing device in the i-th microgrid at time t; is the price of computing resources purchased by the mth computing device in the i-th microgrid from other microgrids at time t; is the price of computing resources purchased by the mth computing device in the i-th microgrid from the centralized task scheduling center at time t; Real-time price for selling computing resources within the microgrid cluster; is the real-time compensation price of computing resources at time t.

[0073] Specifically, computing resources can be divided into microgrid computing resources Computing resource requirements of microgrids The resource model of computing power resources is expressed as follows:

[0074]

[0075] in, The computing resources purchased from the centralized task dispatch center for the microgrid cluster, It is the computing resource for internal transactions in the microgrid group. Electricity resources sold for microgrid clusters.

[0076] More specifically, the time constraints for the microgrid cluster computing tasks are as follows:

[0077]

[0078] in, is the total time to complete the computing task within the microgrid group, Calculate the execution time for tasks within the microgrid cluster, is the task processing running time within the microgrid group, is the task delay time within the microgrid group, is the arrival time of tasks within the microgrid group. In order to ensure QoS requirements, is the upper limit of the total time. The upper limit of task delay.

[0079] The time constraints for computing tasks in a centralized task scheduling center are as follows:

[0080]

[0081] in, To calculate the total time to complete the task, Calculate the execution time for the task, is the task processing running time, is the task delay time, is the task arrival time. In order to ensure QoS requirements, is the upper limit of the total time. The upper limit of task delay.

[0082] In this embodiment, in order to ensure QoS, a time limit is set for the computing task in the resource model of computing resources, and the computing resources of the microgrid group and the centralized task scheduling center are considered separately, which can better plan and provide a basis for the computing cost for the subsequent resource scheduling model, and better consider the computing resources in the microgrid group.

[0083] In this embodiment, in order to ensure the quality of service, a time limit is set for each computing task in the computing resource model to ensure that the task is completed within the specified time, so as to plan the computing resources in the microgrid group. This provides a basis for the computing cost of the subsequent resource scheduling model. The system can more reasonably evaluate and utilize computing resources, avoid resource waste or improper scheduling, and ensure that the microgrid group maximizes the utilization efficiency of its computing resources while providing power services.

[0084] In an optional embodiment, the profit of the centralized task dispatching center is the income from the transaction between the centralized task dispatching center and the microgrid minus the compensation cost. The calculation formula of the profit of the centralized task dispatching center is as follows:

[0085]

[0086] in, and They represent the electricity sales revenue, carbon sales revenue and computing power sales input of the centralized task scheduling center at time t respectively; CTS,t Calculate the depreciation cost of equipment for a centralized task scheduling center at time t.

[0087] Specifically, and The calculation expressions for the electricity sales revenue, carbon sales revenue, and computing power sales input of the centralized task scheduling center at time t are as follows:

[0088]

[0089] The calculation expression of depreciation cost is as follows:

[0090]

[0091] in, To calculate the start-up and shutdown costs of the equipment, To calculate the maintenance cost of equipment, 1,CTS , 2,CTS is the maintenance cost factor.

[0092] In this embodiment, by considering the profit of the centralized task dispatching center, comprehensively considering the income of different resources, calculating the comprehensive profit, and comprehensively analyzing the income of different resources, the dispatching center can optimize the income structure and ensure the economy of the dispatching strategy under the volatility and constraints of different resources. In addition, the dispatching center can also flexibly adjust resource allocation according to changes in the resource demand of the microgrid, thereby reducing operating costs.

[0093] In an optional embodiment, the microgrid group scheduling plan includes the resource interaction amount of any resource flowing bidirectionally between the centralized task scheduling center and the microgrid group.

[0094] In this embodiment, the microgrid group scheduling scheme can further refine the resource scheduling and interaction process by refining the two-way flow scheme and specific resource amounts of different resources between the centralized task scheduling center and the microgrid group. Through this refinement, the resource use and allocation of each microgrid can be more accurately controlled and managed to ensure the rational use of resources. In addition, the scheduling scheme can also respond to emergencies more flexibly, such as sudden increases in demand or sudden failures of different resources.

[0095] In an optional embodiment, the step of solving the resource scheduling model with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center includes: iteratively adjusting the interaction amount of different resources between the centralized task scheduling center and the microgrid group by alternating direction multiplication method in the resource scheduling model until the interaction amount tends to be stable, thereby obtaining an interaction plan for resources between the centralized task scheduling center and the microgrid group.

[0096] Specifically, the daily cost of the microgrid is minimized first, and the alternating direction multiplier method is used for iteration to obtain the optimal solution. The iterative results are saved, and the profit maximization is iteratively solved again. The iterative solution is repeated in this way, and the direct interaction amount tends to be stable, and the interaction plan result is obtained.

[0097] In this embodiment, the efficiency of solving the resource scheduling model is significantly improved by adopting the alternating direction multiplier method. The alternating direction multiplier method can effectively handle the task of decomposing a complex optimization problem into multiple sub-problems, can ensure the global optimality in the resource scheduling model, and has strong flexibility and adaptability, and can cope with frequent dynamic resource changes in microgrids.

[0098] Example 2

[0099] This embodiment proposes a microgrid group scheduling system based on multiple resources, and applies the microgrid group scheduling method based on multiple resources proposed in Embodiment 1, such as Figure 3 As shown, it is an architecture diagram of the multi-resource based microgrid group dispatching system of this embodiment.

[0100] This embodiment proposes a microgrid group dispatching system based on multiple resources, and the system includes:

[0101] Centralized task dispatching center module: used to build a centralized task dispatching center and interact with resources between microgrid groups;

[0102] Resource model building module: used to collect basic resource parameters of the microgrid group and build resource models for different resources;

[0103] Resource scheduling model construction and solution module: used to construct a resource scheduling model based on the centralized task scheduling center and the resource model; solve the resource scheduling model with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center to obtain a microgrid group scheduling plan; input the microgrid group scheduling plan into the centralized task scheduling center module to realize the scheduling of the microgrid group.

[0104] It can be understood that the system of this embodiment corresponds to the method of the above-mentioned embodiment 1, and the options in the above-mentioned embodiment 1 are also applicable to this embodiment, so they will not be described repeatedly here.

[0105] The terms in the drawings are for illustrative purposes only and should not be construed as limiting this patent;

[0106] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the embodiments here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A multi-resource based microgrid group scheduling method, characterized in that: The following steps are involved: A centralized task dispatching center is constructed based on the microgrid group; resources are interacted between the centralized task dispatching center and the microgrid group; Collect basic resource parameters of microgrid groups and build resource models for different resources; Building a resource scheduling model based on the centralized task scheduling center and the resource model; the resource scheduling model includes the operation cost of the microgrid group and the profit of the centralized task scheduling center; In the resource scheduling model, the resource scheduling model is solved with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center, and a microgrid group scheduling plan is obtained. Based on the microgrid group scheduling plan, the microgrid group is scheduled through the centralized task scheduling center.

2. The multi-resource based microgrid group scheduling method according to claim 1, characterized in that: The resource model includes the resource interaction amount between the centralized task scheduling center and the microgrid group and the basic resource parameters; the resource model describes the outflow and inflow relationship of any resource in the microgrid group.

3. The multi-resource based microgrid group scheduling method according to claim 1, characterized in that: The resources include: power resources, carbon resources and computing power resources; the operating cost of the microgrid group includes power consumption cost, computing power cost, carbon emission cost and computing equipment depreciation cost; the calculation expression of the operating cost of the microgrid group is as follows: Among them, C t is the operating cost of the microgrid group at time t, T is the unit time period, is the power consumption cost of the microgrid group at time t, is the computing cost of the mth device in the microgrid group at time t, is the carbon emission cost of the microgrid group at time t, is the number of computing devices in a single microgrid, MG,t Calculate the depreciation cost of equipment in the microgrid.

4. The multi-resource based microgrid group scheduling method according to claim 3 is characterized in that: The power consumption cost includes the power purchase cost of the microgrid from the centralized task dispatching center, the power sales income of the microgrid, and the compensation income from the power resource transaction. The calculation expression of the power consumption cost is as follows: Where I is the number of microgrids in the microgrid group, is the electricity purchase cost of the i-th microgrid at time t, is the electricity sales revenue of the i-th microgrid at time t, is the compensation income of the electric resource transaction of the i-th microgrid at time t; is the electricity purchase price of the i-th microgrid from other internal microgrids at time t; is the amount of electricity purchased by the i-th microgrid from other microgrids at time t, is the electricity purchase price of the i-th microgrid from the centralized task dispatching center at time t; is the amount of electricity purchased by the i-th microgrid from the centralized task dispatching center at time t; is the amount of electricity sold by the i-th microgrid at time t; is the electricity price of the i-th microgrid at time t; is the compensation unit price at time t.

5. The multi-resource based microgrid group scheduling method according to claim 3, characterized in that: The carbon resource cost includes carbon purchase cost, carbon sales income and compensation income from carbon resource trading. The calculation expression of the carbon resource cost is as follows: in, is the carbon purchase cost of the i-th microgrid at time t; is the carbon sales income of the i-th microgrid at time t; is the compensation income of carbon resource trading of the i-th microgrid at time t; is the carbon resources purchased by the i-th microgrid from other microgrids at time t; is the carbon resource purchased by the i-th microgrid from the centralized task dispatching center at time t, is the carbon resources sold by the i-th microgrid at time t; is the price of carbon resources purchased by the i-th microgrid from other microgrids at time t; is the price of carbon resources purchased by the i-th microgrid from the centralized task dispatching center at time t; is the real-time price of carbon resources sold in the microgrid at time t; is the real-time compensation price of carbon resources of the i-th microgrid at time t.

6. The multi-resource based microgrid group scheduling method according to claim 3, characterized in that: The computing power cost includes: the computing power purchase cost of the microgrid, the computing power sales income of the microgrid and the compensation income of computing power resource transactions; the calculation expression of the computing power cost is as follows: in, is the computing power cost of the mth computing device in the i-th microgrid at time t; is the revenue from selling computing power of the mth computing device in the i-th microgrid at time t; is the compensation income of the computing power resource transaction of the mth computing device in the i-th microgrid at time t; The computing resources purchased by the mth computing device in the ith microgrid from other microgrids at time t; The computing resources purchased by the mth computing device in the i-th microgrid from the centralized task scheduling center at time t, is the carbon resource sold by the mth computing device in the i-th microgrid at time t; is the price of computing resources purchased by the mth computing device in the i-th microgrid from other microgrids at time t; is the price of computing resources purchased by the mth computing device in the i-th microgrid from the centralized task scheduling center at time t; Real-time price for selling computing resources within the microgrid cluster; is the real-time compensation price of computing resources at time t.

7. The multi-resource based microgrid group scheduling method according to claim 3, characterized in that: The profit of the centralized task dispatching center is the income from the transaction between the centralized task dispatching center and the microgrid minus the compensation cost; the calculation formula of the profit of the centralized task dispatching center is as follows: in, and They represent the electricity sales revenue, carbon sales revenue and computing power sales input of the centralized task scheduling center at time t respectively; CTS,t Calculate the depreciation cost of equipment for a centralized task scheduling center at time t.

8. The multi-resource based microgrid group scheduling method according to claim 1, characterized in that: The microgrid group scheduling scheme includes resource interaction volume of any resource flowing bidirectionally between a centralized task scheduling center and a microgrid group.

9. The multi-resource based microgrid group scheduling method according to claim 8, characterized in that: The step of solving the resource scheduling model with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center includes: in the resource scheduling model, the interaction amount of different resources between the centralized task scheduling center and the microgrid group is iteratively adjusted by the alternating direction multiplier method until the interaction amount tends to be stable, thereby obtaining a scheduling plan for the resources between the centralized task scheduling center and the microgrid group.

10. A multi-resource based microgrid group dispatching system, applied to the multi-resource based microgrid group dispatching method according to any one of claims 1 to 9, characterized in that: The system comprises: Centralized task dispatching center module: used to build a centralized task dispatching center and interact with resources between microgrid groups; Resource model building module: used to collect basic resource parameters of the microgrid group and build resource models for different resources; Resource scheduling model construction and solution module: used to construct a resource scheduling model based on the centralized task scheduling center and the resource model; solve the resource scheduling model with the goal of minimizing the operating cost of the microgrid group and maximizing the profit of the centralized task scheduling center to obtain a microgrid group scheduling plan; input the microgrid group scheduling plan into the centralized task scheduling center module to realize the scheduling of the microgrid group.

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