Relay communication power allocation method and system driven by multi-microgrid operation services

Abstract

The present invention discloses a relay communication power allocation method and system driven by multiple microgrid operation services, belonging to the field of microgrid control technology. The method includes: constructing an actual transmission rate model of each microgrid gateway according to the working mode of the collaborative relay; constructing a packet loss model of each microgrid gateway according to the actual transmission rate model of each microgrid gateway; dividing the importance of each microgrid operation service according to the impact of each microgrid operation service on the grid power; constructing a relay communication power optimization allocation model using the importance of each microgrid operation service and the packet loss model of each microgrid gateway; solving the relay communication power optimization allocation model using a continuous convex approximation method to obtain a relay communication power optimization allocation result.

Description

Technical Field

[0001] The present invention relates to the field of microgrid control technology, and in particular to a relay communication power distribution method and system driven by multi-microgrid operation services. Background Art

[0002] The rapid development of the world's population and economy has posed major challenges to both energy demand and environmental protection. As a result, more and more countries are gradually turning to the use of renewable energy sources such as wind and solar energy, thereby turning to distributed generation (DG). However, if DG is directly connected to the main grid, the intermittent output of DG may interfere with the performance of the main grid. In order to reduce interference, microgrid (MG) technology has been developed. A microgrid is a small power system that brings together distributed energy resources (DER) and loads in a local area. Depending on the specific characteristics of the distributed energy resources and loads, the microgrid can be implemented and operated as a full alternating current (AC), full direct current (DC), or hybrid AC / DC microgrid.

[0003] With the widespread application of information and communication technology (ICT) in the field of power systems, microgrid systems have developed into cyber-physical power systems (CPPS), in which the functions of information and power components are tightly coupled in their operation. In addition, ICT also promotes the formation of multi-microgrid systems. These microgrids can operate independently or exchange energy and information through the network to achieve more efficient energy management and optimization. The operation of multi-microgrid systems increasingly relies on ICT to ensure global visibility and controllability of on-site resources. Recently, some advanced communication technologies have been applied to multi-microgrid systems. As a typical representative, cooperative communication technology can effectively reduce the packet loss rate of communication networks to improve transmission quality.

[0004] In the multi-microgrid system, there are many related control services, such as voltage regulation, frequency regulation, demand response, etc. These services are generated in the control center and sent to each microgrid for execution by the control center, so as to perform real-time control on the physical system, thereby maintaining the safe and stable operation of the microgrid and providing users with high-quality electricity supply, thus providing reliable protection for the national economy while meeting the electricity needs of users.

[0005] However, on the one hand, due to the different importance of multiple control services in multiple microgrids (for example, control services such as voltage regulation and frequency regulation are more important than economic services such as electricity information collection and office automation), how to coordinate the relay power allocation based on the business needs of different microgrids and provide appropriate relay power for the delivery of services with different needs, so as to meet the transmission needs of multiple microgrid services, has become an urgent problem to be solved. On the other hand, the stability of the physical system and the service quality of users depend on the real-time and accurate delivery of control instructions. Once the business control instructions cause large packet loss, the microgrid cannot be executed correctly, which will seriously affect the stability of the physical system and even cause losses to the national economy. Summary of the invention

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a method and system for allocating relay communication power driven by multi-microgrid operation services, which can solve the problem of optimal allocation of relay power driven by multi-microgrid business needs.

[0007] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0008] On the one hand, the present invention provides a relay communication power allocation method driven by multi-microgrid operation services, comprising:

[0009] According to the working mode of cooperative relay, the actual transmission rate model of each microgrid gateway is constructed;

[0010] Constructing a packet loss model for each microgrid gateway according to the actual transmission rate model of each microgrid gateway;

[0011] According to the impact of each microgrid operation business on the grid power, the importance of each microgrid operation business is divided;

[0012] Using the importance of each microgrid operation service and the packet loss model of each microgrid gateway, a relay communication power optimization allocation model is constructed;

[0013] The relay communication power optimization allocation model is solved by using a continuous convex approximation method to obtain a relay communication power optimization allocation result.

[0014] Optionally, the collaborative relay works in a decoding and forwarding mode.

[0015] Optionally, the actual transmission rate model formula of each microgrid gateway is:

[0016] ;

[0017] In the formula, Indicates The actual transmission rate model of a microgrid gateway; represents the channel bandwidth; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway.

[0018] Optionally, the packet loss model formula of each microgrid gateway is:

[0019] ;

[0020] In the formula, Indicates Packet loss model of a microgrid gateway; Indicates The expected transmission rate of the microgrid operation business; Indicates The actual transmission rate model of a microgrid gateway; Indicates the sampling period.

[0021] Optionally, the importance formula of each microgrid operation service is:

[0022] ;

[0023] In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates The power regulation of the grid for each microgrid operation business; Represents the set of grid power regulation quantities for microgrid operation services.

[0024] Optionally, the relay communication power optimization allocation model formula is:

[0025] = ;

[0026] The constraints are:

[0027] ;

[0028] ;

[0029] In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates Packet loss model of a microgrid gateway; Indicates the number of microgrid running services; Indicates The expected transmission rate of the microgrid operation business; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to is the channel gain of the microgrid gateway; Indicates the sampling period; represents the total power available for distribution by the relay; Indicates the channel gain from the control center to the relay.

[0030] Optionally, using a continuous convex approximation method to solve the relay communication power optimization allocation model to obtain a relay communication power optimization allocation result includes:

[0031] In the continuous convex approximation method, the lower bound approximation of the logarithmic function is expressed as:

[0032] ;

[0033] when:

[0034] ;

[0035] The relay communication power optimization allocation model is transformed into:

[0036] ;

[0037] The transformed relay communication power optimization allocation model is solved by using a solver to obtain the relay communication power optimization allocation result;

[0038] In the formula, represents the first coefficient; represents the second coefficient; represents the independent variable; represents the optimal solution of the independent variable; Indicates The first coefficient of the microgrid gateway; Indicates The second coefficient of the microgrid gateway; Indicates the converted relay to The transmission power of each microgrid gateway; Indicates the converted relay to Signal-to-interference-plus-noise ratio of a microgrid gateway.

[0039] In a second aspect, the present invention provides a relay communication power distribution system driven by multi-microgrid operation services, comprising:

[0040] The actual transmission rate model building module is configured to: build an actual transmission rate model of each microgrid gateway according to the working mode of the cooperative relay;

[0041] The service packet loss model building module is configured to: build a packet loss model of each microgrid gateway according to the actual transmission rate model of each microgrid gateway;

[0042] The service importance classification module is configured to: classify the importance of each microgrid operation service according to the impact of each microgrid operation service on the power of the grid;

[0043] The relay communication power optimization allocation model construction module is configured to: construct a relay communication power optimization allocation model by using the importance of each microgrid operation service and the packet loss model of each microgrid gateway;

[0044] The relay communication power optimization allocation model solving module is configured to: use a continuous convex approximation method to solve the relay communication power optimization allocation model to obtain a relay communication power optimization allocation result.

[0045] In a third aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon. When the computer instructions are executed by a processor, the steps of the relay communication power allocation method driven by multi-microgrid operation services described in the first aspect are implemented.

[0046] In a fourth aspect, the present invention provides a computer device, comprising:

[0047] Memory, for storing computer instructions;

[0048] A processor is used to execute the computer instructions to implement the steps of the relay communication power allocation method driven by multi-microgrid operation services described in the first aspect.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention divides the business importance of microgrids according to the different impacts of each microgrid business on the power grid, and allocates relay communication power according to the business importance of the microgrid, thereby solving the problem that traditional power allocation optimization ignores the business needs of the power grid; the continuous convex approximation method is used to transform the original optimization problem, thereby solving the problem that the power allocation optimization is non-convex and cannot be directly solved, while ensuring the reliable and lossless transmission of important services, thereby solving the problem of packet loss in the transmission of important services. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the process of a relay communication power allocation method driven by multi-microgrid operation services in one embodiment of the present invention;

[0052] Figure 2 Shown is a schematic diagram of a multi-microgrid cooperative communication scenario in an embodiment of the present invention;

[0053] Figure 3 The figure shows a comparison of relay communication power allocation results in one embodiment of the method of the present invention and the prior art method;

[0054] Figure 4 The figure shows a comparison of the real-time transmission rate results of multiple microgrids in one embodiment of the method of the present invention and the existing method;

[0055] Figure 5 The figure shows a comparison of the multi-microgrid data packet loss results of the method of the present invention and the existing method in one embodiment. DETAILED DESCRIPTION

[0056] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. The embodiments of the present invention and the technical features in the embodiments may be combined with each other unless there is a conflict.

[0057] The term "and / or" is only a description of the association relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " generally indicates that the related objects are in an "or" relationship.

[0058] Example 1

[0059] like Figure 1 As shown in FIG. 1 , this embodiment introduces a relay communication power allocation method driven by multi-microgrid operation services. Figure 2As shown, it includes a top-level control center, a middle-level collaborative relay, and multiple microgrids at the bottom level. The control center obtains business requirements and channel status information from the microgrid and generates an optimal relay power allocation plan.

[0060] The method specifically comprises the following steps:

[0061] Step 1: According to the working mode of cooperative relay, the actual transmission rate model of each microgrid gateway is constructed, specifically:

[0062] The control center obtains the channel state information of the cooperative relay and builds the actual transmission rate model of multiple microgrid gateways. In order to improve the actual transmission rate of the microgrid gateway, the working mode of the cooperative relay (CR) scenario of decode-and-forward (DF) is adopted, which includes two time slots.

[0063] In the first time slot, the control center sends the signal to the microgrid gateway and relay; in the second time slot, the relay decodes the signal from the control center and retransmits it to the microgrid gateway, and then the microgrid gateway combines the signals from the control center and the relay, so the first time slot is Theoretical maximum transmission rate that can be achieved by a microgrid gateway It can be expressed as:

[0064] (1);

[0065] In the formula, represents the channel bandwidth; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway; Indicates the channel gain from the control center to the relay.

[0066] Due to the interference and fading in the actual channel, the The actual transmission rate of the microgrid gateway and theoretical maximum transfer rate There is a deviation between them. Assume that the deviation between them is expressed as:

[0067] (2);

[0068] in, is a constant, , then Actual transmission rate model of a microgrid gateway It can be written as:

[0069] (3);

[0070] In order to reliably decode the signal at the relay, the transmission rate of the relay-assisted microgrid gateway should be less than the transmission rate from the control center to the relay, that is:

[0071] (4);

[0072] In summary, in the cooperative relay (CR) scenario based on the decode-and-forward (DF) mode, The actual transmission rate of the microgrid gateway The model is finally expressed as:

[0073] (5).

[0074] Step 2: According to the actual transmission rate model of each microgrid gateway, the control center constructs a packet loss model of each microgrid gateway, specifically:

[0075] The data packet loss can be defined as the expected transmission rate of the microgrid operation service within a sampling period. and the actual transmission rate of the microgrid gateway The deviation between them is expressed as:

[0076] (6);

[0077] in, Indicates the sampling period.

[0078] Step 3: The control center divides the importance of each microgrid operation business according to the impact of each microgrid operation business on the grid power, specifically:

[0079] Considering that most of the grid business is related to the regulation of grid power flow, we map the importance of microgrid business to the grid power regulation of the business, and divide the importance of microgrid business according to the relative size of the business power regulation to obtain the importance coefficient , expressed as:

[0080] ;

[0081] In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates The power regulation of the grid for each microgrid operation business; Represents the set of grid power regulation quantities for microgrid operation services, .

[0082] Step 4: Using the importance of each microgrid operation service and the packet loss model of each microgrid gateway, a relay communication power optimization allocation model is constructed, with the goal of minimizing the packet loss of all microgrid gateways, and the total relay power limit and decoding forwarding power limit are used as constraints to construct a relay communication optimization allocation model. The objective function is expressed as:

[0083] (8);

[0084] Substituting equations (5) and (6) into (8), the objective function can be rewritten as:

[0085] (9);

[0086] The total relay power constraint can be expressed as:

[0087] (10);

[0088] in, represents the total power that the relay can allocate, and constraint (10) requires that the relay allocate The power of a microgrid gateway cannot exceed its maximum allowed power.

[0089] The decoding and forwarding power constraint can be expressed as:

[0090] (11);

[0091] Constraint (11) requires that the transmission rate of the relay-assisted microgrid gateway should be less than the transmission rate from the control center to the relay, so as to ensure reliable decoding of the signal at the relay.

[0092] Step 5: Using the continuous convex approximation method, solve the relay communication power optimization allocation model to obtain the relay communication power optimization allocation result, that is, use the continuous convex approximation (SCA) method to perform convex approximation transformation on the relay communication power allocation optimization model, and solve the transformed optimization problem to generate the optimal relay communication power allocation scheme, specifically:

[0093] In the continuous convex approximation (SCA) method, the logarithmic function The lower bound approximation of can be expressed as:

[0094] (12);

[0095] in, and are two positive coefficients.

[0096] By adjusting the independent variable To optimize the objective function, That is the optimal solution to the transformation problem, we need to determine and The value of .when equal Substituting it into (12), we get:

[0097] (13);

[0098] According to formula (13), we get:

[0099] ① All effective coefficients satisfy (13);

[0100] ② When hour, is a convex function;

[0101] ③When hour, yes tangent.

[0102] From the above, we can conclude is the maximum value that satisfies (13). Therefore, the coefficients are selected as follows:

[0103] (14);

[0104] Substituting (14) into the objective function (9) yields:

[0105] (15);

[0106] in, ,make ,Right now , this transformation is used to transform the original non-convex problem into a convex problem for easy solution. Then the original optimization problems (9)-(11) can be rewritten to obtain the transformed relay communication power optimization allocation model, which is expressed as:

[0107] (16);

[0108] In the formula, represents the first coefficient; represents the second coefficient; Indicates The first coefficient of the microgrid gateway; Indicates The second coefficient of the microgrid gateway; Indicates the converted relay to SINR of each microgrid gateway; Indicates the converted relay to The transmission power of a microgrid gateway.

[0109] The convex optimization problem (16) can be solved using a solver to obtain the relay communication power optimization allocation result; the solver can be a common commercial solver.

[0110] Example 2

[0111] like Figure 2 As shown, this embodiment introduces a relay communication power distribution system driven by multi-microgrid operation services, including:

[0112] The actual transmission rate model building module is configured to: build an actual transmission rate model of each microgrid gateway according to the working mode of the collaborative relay.

[0113] The service packet loss model building module is configured to: build a packet loss model for each microgrid gateway according to the actual transmission rate model of each microgrid gateway.

[0114] The service importance classification module is configured to classify the importance of each microgrid operation service according to the impact of each microgrid operation service on the power of the power grid.

[0115] The relay communication power optimization allocation model construction module is configured to: construct a relay communication power optimization allocation model by utilizing the importance of each microgrid operation service and the packet loss model of each microgrid gateway.

[0116] The relay communication power optimization allocation model solving module is configured to: use a continuous convex approximation method to solve the relay communication power optimization allocation model to obtain a relay communication power optimization allocation result.

[0117] Example 3

[0118] This embodiment introduces a specific experimental design of relay communication power allocation driven by multi-microgrid operation services, including the following steps:

[0119] according to Figure 1 The scenario shown simulates the distribution of relay communication power. In this embodiment, a control center, a repeater, and three microgrids (MG1, MG2, and MG3) are included. The control center adjusts the transmission power of the relay to different microgrids according to the different business requirements of the three microgrids through the relay communication power distribution method of this embodiment.

[0120] In this embodiment, the service importance is set as MG1>MG2>MG3. Assuming that the relay power resources are limited and insufficient to support the lossless transmission of all services, Table 1 shows the comparison of relay communication power allocation results under the relay power averaging method (avg), the relay power optimization method without service importance (no imp) and the relay communication power allocation method (imp) in this embodiment.

[0121] Table 1 Comparison of the results of three relay power allocation methods

[0122] imp no imp avg pr1 30 21.25 16.67 pr2 15 15 15 pr3 5 13.75 15 R1 10126.67 9934.31 9816.62 R2 10126.67 10126.67 10126.67 R3 9615.87 10075.37 10126.67 data_loss1 0 65.69 183.38 data_loss2 0 0 0 data_loss3 34.13 0 0

[0123] Figure 3 , Figure 4 , Figure 5 The data simulation results of the relay communication power allocation scheme, data transmission rate and packet loss of MG1, MG2 and MG3.

[0124] Combining the data results in Table 1 and Figure 3 It can be seen that the relay powers obtained by the three microgrids under the avg method are roughly the same; the relay power obtained by MG1 under the no imp method is greater than that of MG2 and MG3, but the relay powers of MG2 and MG3 are not much different; the relay power obtained by MG1 under the imp method is much greater than that of MG2 and MG3, and the power of MG2 is also significantly greater than that of MG3. This shows that the imp method of this embodiment can optimize the allocation of relay communication power according to the importance of different microgrid services.

[0125] Combining Table 1 and Figure 4 It can be seen that the transmission rate of MG1 (important business) under the avg method is lower than that of the other two microgrids; the no imp method achieves partial optimization of the relay power, thereby increasing the transmission rate of MG1, but it is still lower than the expected rate; the imp method of this embodiment can allocate power according to the importance of the business, so that the transmission rate of MG1 reaches the expected value. This shows that in the scenario of limited resources, the imp method of this embodiment can ensure the transmission rate of important business by sacrificing the transmission rate of unimportant business and reduce losses.

[0126] Combining Table 1 and Figure 5 It can be seen that under the avg method, a large number of packet losses occur in the services of MG1, while there is no packet loss in the services of the other two microgrids; the no imp method reduces the packet loss of MG1, but still cannot guarantee the reliable transmission of the important service MG1 without packet loss; the imp method in this embodiment achieves the packet loss-free transmission of the MG1 service by sacrificing the transmission quality of the unimportant service MG3, thereby reducing the power grid loss.

[0127] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt 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 codes.

[0128] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0129] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0130] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0131] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A relay communication power allocation method driven by multi-microgrid operation services, characterized in that: include: According to the working mode of cooperative relay, the actual transmission rate model of each microgrid gateway is constructed; Constructing a packet loss model for each microgrid gateway according to the actual transmission rate model of each microgrid gateway; According to the impact of each microgrid operation business on the grid power, the importance of each microgrid operation business is divided; Using the importance of each microgrid operation service and the packet loss model of each microgrid gateway, a relay communication power optimization allocation model is constructed; Using a continuous convex approximation method, solving the relay communication power optimization allocation model, and obtaining a relay communication power optimization allocation result; The working mode of the cooperative relay is a decoding and forwarding working mode; The actual transmission rate model formula of each microgrid gateway is: ； In the formula, Indicates The actual transmission rate model of a microgrid gateway; represents the channel bandwidth; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway; The packet loss model formula of each microgrid gateway is: ； In the formula, Indicates Packet loss model of a microgrid gateway; Indicates The expected transmission rate of the microgrid operation business; Indicates The actual transmission rate model of a microgrid gateway; Indicates the sampling period; The importance formula of each microgrid operation service is: ； In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates The power regulation of the grid for each microgrid operation business; A set of grid power regulation quantities representing the microgrid operation business; The relay communication power optimization allocation model formula is: = ； The constraints are: ； ； In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates Packet loss model of a microgrid gateway; Indicates the number of microgrid running services; Indicates The expected transmission rate of the microgrid operation business; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway; Indicates the sampling period; represents the total power available for distribution by the relay; Indicates the channel gain from the control center to the relay.

2. The method for allocating relay communication power driven by multi-microgrid operation services according to claim 1 is characterized in that: The relay communication power optimization allocation model is solved by using a continuous convex approximation method to obtain a relay communication power optimization allocation result, including: In the continuous convex approximation method, the lower bound approximation of the logarithmic function is expressed as: ； when: ； The relay communication power optimization allocation model is transformed into: ； The transformed relay communication power optimization allocation model is solved by using a solver to obtain the relay communication power optimization allocation result; In the formula, represents the first coefficient; represents the second coefficient; represents the independent variable; represents the optimal solution of the independent variable; Indicates The first coefficient of the microgrid gateway; Indicates The second coefficient of the microgrid gateway; Indicates the converted relay to The transmission power of each microgrid gateway; Indicates the converted relay to Signal-to-interference-plus-noise ratio of a microgrid gateway.

3. A relay communication power distribution system driven by multi-microgrid operation services, characterized in that: include: The actual transmission rate model building module is configured to: build an actual transmission rate model of each microgrid gateway according to the working mode of the cooperative relay; The service packet loss model building module is configured to: build a packet loss model of each microgrid gateway according to the actual transmission rate model of each microgrid gateway; The service importance classification module is configured to: classify the importance of each microgrid operation service according to the impact of each microgrid operation service on the power of the grid; The relay communication power optimization allocation model construction module is configured to: construct a relay communication power optimization allocation model by using the importance of each microgrid operation service and the packet loss model of each microgrid gateway; The relay communication power optimization allocation model solving module is configured to: solve the relay communication power optimization allocation model using a continuous convex approximation method to obtain a relay communication power optimization allocation result; The working mode of the cooperative relay is a decoding and forwarding working mode; The actual transmission rate model formula of each microgrid gateway is: ； In the formula, Indicates The actual transmission rate model of a microgrid gateway; represents the channel bandwidth; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway; The packet loss model formula of each microgrid gateway is: ； In the formula, Indicates Packet loss model of a microgrid gateway; Indicates The expected transmission rate of the microgrid operation business; Indicates The actual transmission rate model of a microgrid gateway; Indicates the sampling period; The importance formula of each microgrid operation service is: ； In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates The power regulation of the grid for each microgrid operation business; A set of grid power regulation quantities representing the microgrid operation business; The relay communication power optimization allocation model formula is: = ； The constraints are: ； ； In the formula, Indicates The importance coefficient of each microgrid operation business; Indicates Packet loss model of a microgrid gateway; Indicates the number of microgrid running services; Indicates The expected transmission rate of the microgrid operation business; Indicates the transmission power from the control center to the relay and from the control center to the The transmission power of each microgrid gateway; Indicates relay to The transmission power of each microgrid gateway; represents the Gaussian noise of the channel; Indicates interference; From the control center to the Channel gain of a microgrid gateway; Indicates from relay to Channel gain of a microgrid gateway; Indicates the sampling period; represents the total power available for distribution by the relay; Indicates the channel gain from the control center to the relay.

4. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the computer instruction is executed by the processor, the steps of the relay communication power allocation method driven by multi-microgrid operation services described in claim 1 or 2 are implemented.

5. A computer device, characterized in that: include: Memory, for storing computer instructions; A processor is used to execute the computer instructions to implement the steps of the relay communication power allocation method driven by multi-microgrid operation services as described in claim 1 or 2.

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