阅读说明：本技术 基于5g网络切片的虚拟电厂智能调控方法及相关设备 (Virtual power plant intelligent regulation and control method based on 5G network slice and related equipment ) 是由 黄剑玲 于 2021-07-14 设计创作，主要内容包括：本申请公开了一种基于5G网络切片的虚拟电厂智能调控方法及相关设备,所述方法包括：获取当前时刻的时钟信息；从各预设时段中确定时钟信息所对应的目标时段；根据用电设备在目标时段的历史用电数据集,确定用电设备在目标时段的网络切片资源,以通过网络切片资源下发虚拟电厂的调控指令对用电设备进行负荷调控,其中,历史用电数据集包括多个历史用电数据,历史用电数据用于表示用电设备的用电负荷,网络切片资源的资源量与历史用电数据集中历史用电数据的峰值正相关。(The application discloses virtual power plant intelligent regulation and control method and related equipment based on 5G network slicing, the method comprises the following steps: acquiring clock information of the current moment; determining a target time period corresponding to the clock information from each preset time period; according to a historical electricity utilization data set of the electric equipment in a target time period, determining network slice resources of the electric equipment in the target time period, and issuing a regulation and control instruction of a virtual power plant to carry out load regulation and control on the electric equipment through the network slice resources, wherein the historical electricity utilization data set comprises a plurality of historical electricity utilization data, the historical electricity utilization data are used for representing electricity utilization loads of the electric equipment, and the resource quantity of the network slice resources is positively correlated with the peak value of the historical electricity utilization data in the historical electricity utilization data set.)

1. A virtual power plant intelligent regulation and control method based on 5G network slices is characterized by comprising the following steps:

acquiring clock information of the current moment;

determining a target time period corresponding to the clock information from each preset time period;

according to a historical electricity utilization data set of the electric equipment in the target time period, determining network slice resources of the electric equipment in the target time period, and carrying out load regulation and control on the electric equipment through a regulation and control instruction of a virtual power plant issued by the network slice resources, wherein the historical electricity utilization data set comprises a plurality of historical electricity utilization data, the historical electricity utilization data are used for representing electricity utilization loads of the electric equipment, and the resource quantity of the network slice resources is positively correlated with the peak value of the historical electricity utilization data in the historical electricity utilization data set.

2. The intelligent regulation and control method for a virtual power plant based on 5G network slice of claim 1, wherein determining the network slice resources of the electric equipment in the target period according to the historical electric data set of the electric equipment in the target period comprises:

determining a power utilization data interval of the electric equipment in each preset time period according to the historical power utilization data set of the electric equipment in each preset time period;

ranking the electricity utilization data intervals of all the preset time periods to obtain the regulation and control level of the electric equipment in the target time period, wherein the maximum value of the electricity utilization data intervals is positively correlated with the regulation and control level;

and configuring the network slice resources of the target time interval according to the regulation and control level of the target time interval.

3. The virtual power plant intelligent regulation and control method based on 5G network slice of claim 2, wherein configuring the network slice resources of the target time period according to the regulation and control level of the target time period comprises:

determining resource information and shared information of the network slice resources in the target time period according to the regulation and control level of the target time period, wherein the resource information is used for representing the resource amount of the network slice resources, the shared information comprises shared levels, and the shared levels are used for representing the isolation of the network slice resources in different degrees;

and configuring the network slice resources of the target time period according to the resource information and the sharing information.

4. The virtual power plant intelligent regulation method based on 5G network slice of claim 3, wherein the sharing level comprises sharing, exclusive sharing and isolation.

5. The virtual power plant intelligent regulation and control method based on 5G network slice according to any one of claims 1-4, characterized by further comprising:

periodically updating the historical electricity utilization data set to adjust network slice resources of the electrical equipment in the target time period according to the updated historical electricity utilization data set.

6. The virtual power plant intelligent regulation and control method based on 5G network slice of claim 5, wherein the duration of each preset time period is the same as the update cycle of the historical power utilization data set.

7. The virtual power plant intelligent regulation and control method based on 5G network slice according to claim 1 or 6, characterized in that each preset time period constitutes a continuous time sequence.

8. The utility model provides a virtual power plant intelligent regulation and control device based on 5G network is sliced which characterized in that includes:

the information acquisition module is used for acquiring clock information at the current moment;

the time interval determining module is used for determining a target time interval corresponding to the clock information from each preset time interval;

the load regulation and control module is used for determining that the electric equipment is in the network slice resource of the target time interval according to the historical electric power utilization data set of the electric equipment in the target time interval, so that the regulation and control instruction of a virtual power plant is issued through the network slice resource to the electric equipment for load regulation and control, wherein the historical electric power utilization data set comprises a plurality of historical electric power utilization data, the historical electric power utilization data are used for representing the electric power utilization load of the electric equipment, and the resource quantity of the network slice resource is positively correlated with the peak value of the historical electric power utilization data in the historical electric power utilization data set.

9. An electronic device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the virtual plant intelligent regulation method based on 5G network slices as claimed in any one of claims 1 to 7.

10. A computer-readable storage medium, in which a computer program is stored which is adapted to be loaded and executed by a processor to cause a computer device having said processor to carry out the method of any one of claims 1 to 7.

Technical Field

The application relates to the technical field of computers, in particular to a virtual power plant intelligent regulation and control method based on 5G network slicing and related equipment.

Background

The virtual power plant is a voltage coordination management system which combines distributed energy sources, an energy storage system and controllable loads in a power grid through a regulation and control management system and is used for a special power plant to participate in the operation of the power grid. The virtual power plant performs a coordination control process, and performs power regulation and control on electric equipment in the power grid through the virtual power plant so as to ensure safe, economic and reliable operation of the power grid. In the related technology, the power regulation and control of the virtual power plant is that the concentrator collects basic power utilization data of users in a centralized meter reading mode, the collected basic power utilization data are transmitted back to the virtual power plant, and then the virtual power plant sends a regulation and control instruction generated according to the basic power utilization data to the electric equipment through a communication network so as to control the load of the electric equipment. However, the regulation and control requirements of the electric equipment at different periods are different, if the electric equipment is in a peak power utilization period, the regulation and control requirements are higher, and the regulation and control can not be performed in time easily due to the problem of a communication network, so that the real-time performance and the reliability of the intelligent regulation and control of the virtual power plant are poor.

Disclosure of Invention

The application aims to solve at least one of technical problems in the prior art, and provides a virtual power plant intelligent control method and device based on 5G network slicing and an electronic device, so that the real-time performance and the reliability of virtual power plant intelligent control are improved.

In a first aspect, an embodiment of the present application provides a virtual power plant intelligent regulation and control method based on a 5G network slice, including:

acquiring clock information of the current moment;

determining a target time period corresponding to the clock information from each preset time period;

according to a historical electricity utilization data set of the electric equipment in the target time period, determining network slice resources of the electric equipment in the target time period, and carrying out load regulation and control on the electric equipment through a regulation and control instruction of a virtual power plant issued by the network slice resources, wherein the historical electricity utilization data set comprises a plurality of historical electricity utilization data, the historical electricity utilization data are used for representing electricity utilization loads of the electric equipment, and the resource quantity of the network slice resources is positively correlated with the peak value of the historical electricity utilization data in the historical electricity utilization data set.

The historical electricity utilization data of the target time interval are analyzed, and the boundary condition of the bearing performance of the communication channel of the target time interval is determined based on the historical electricity utilization data, so that 5G network slice resources for power regulation and control in each time interval are respectively allocated according to the boundary condition, and the reasonability of communication channel setting and the real-time performance and reliability of power regulation and control are considered.

Further, determining the network slice resource of the electric device in the target time period according to the historical electric data set of the electric device in the target time period includes:

determining a power utilization data interval of the electric equipment in each preset time period according to the historical power utilization data set of the electric equipment in each preset time period;

ranking the electricity utilization data intervals of all the preset time periods to obtain the regulation and control level of the electric equipment in the target time period, wherein the maximum value of the electricity utilization data intervals is positively correlated with the regulation and control level;

and configuring the network slice resources of the target time interval according to the regulation and control level of the target time interval.

Further, configuring the network slice resource of the target time interval according to the regulation level of the target time interval, including:

determining resource information and shared information of the network slice resources in the target time period according to the regulation and control level of the target time period, wherein the resource information is used for representing the resource amount of the network slice resources, the shared information comprises shared levels, and the shared levels are used for representing the isolation of the network slice resources in different degrees;

and configuring the network slice resources of the target time period according to the resource information and the sharing information.

Further, the sharing level includes sharing, exclusive sharing, and isolation.

Further, the method also comprises the following steps:

periodically updating the historical electricity utilization data set to adjust network slice resources of the electrical equipment in the target time period according to the updated historical electricity utilization data set.

Further, the duration of each preset time period is the same as the updating period of the historical electricity utilization data set.

Further, each of the preset time periods constitutes a continuous time series.

In a second aspect, in an embodiment of the present application, a virtual power plant intelligent control device based on 5G network slices is further provided, including:

the information acquisition module is used for acquiring clock information at the current moment;

the time interval determining module is used for determining a target time interval corresponding to the clock information from each preset time interval;

the load regulation and control module is used for determining that the electric equipment is in the network slice resource of the target time interval according to the historical electric power utilization data set of the electric equipment in the target time interval, so that the regulation and control instruction of a virtual power plant is issued through the network slice resource to the electric equipment for load regulation and control, wherein the historical electric power utilization data set comprises a plurality of historical electric power utilization data, the historical electric power utilization data are used for representing the electric power utilization load of the electric equipment, and the resource quantity of the network slice resource is positively correlated with the peak value of the historical electric power utilization data in the historical electric power utilization data set.

In a third aspect, an embodiment of the present application provides an electronic device, including: the virtual power plant intelligent regulation and control method based on the 5G network slice comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the virtual power plant intelligent regulation and control method based on the 5G network slice is realized.

In a fourth aspect, the present application provides a computer-readable storage medium, where computer-executable instructions are stored, and the computer-executable instructions are configured to enable a computer to execute the virtual power plant intelligent regulation and control method based on 5G network slices as described in the foregoing embodiment.

Drawings

The present application is further described with reference to the following figures and examples;

FIG. 1 is a schematic flow chart of a virtual power plant intelligent regulation and control method based on a 5G network slice in one embodiment;

FIG. 2 is a flow diagram that illustrates configuring network slice resources for a target time period, in one embodiment;

FIG. 3 is a flow diagram of configuring network slice resources for a target time period in yet another embodiment;

FIG. 4 is a block diagram of a virtual power plant intelligent regulation and control device based on a 5G network slice in one embodiment;

FIG. 5 is a block diagram of a computer device in one embodiment.

Detailed Description

Reference will now be made in detail to the present embodiments of the present application, preferred embodiments of which are illustrated in the accompanying drawings, which are for the purpose of visually supplementing the description with figures and detailed description, so as to enable a person skilled in the art to visually and visually understand each and every feature and technical solution of the present application, but not to limit the scope of the present application.

The embodiment of the present application is explained in detail with reference to the accompanying drawings, and the virtual power plant intelligent regulation and control method based on 5G network slices provided by the embodiment of the present application is applied to a communication system including a management device, a plurality of database instances and a plurality of storage instances, where the instances may be virtual machines, containers or communication servers, and in the embodiment of the present application, a communication server is taken as an example for explanation. The virtual power plant intelligent regulation and control method based on the 5G network slice is applied to a virtual power plant. The virtual power plant is a voltage coordination management system which combines distributed energy, an energy storage system and controllable loads in a power grid through a regulation and control management system and takes part in the operation of the power grid as a special power plant, and comprises a load control unit and a power generation system, wherein the load control unit can be realized by an independent server or a server group consisting of a plurality of servers, and the power generation system can comprise at least one of a wind power generation terminal and a photovoltaic power generation terminal. In the application environment, the system further comprises a communication system and a remote centralized meter reading system, wherein the remote centralized meter reading system comprises a concentrator, an intelligent electric meter and electric equipment. The communication system is used for controlling a communication network of any two of the load control unit, the power generation system, the concentrator, the intelligent electric meter and the electric equipment, and can be composed of a communication server or a communication server cluster. The concentrator is a central management device and a control device of the remote centralized meter reading system and is responsible for regularly reading terminal data, command transmission of the system, data communication, network management, event recording, transverse transmission of data and other functions.

When the virtual power plant is used for regulating and controlling the electric power of the electric equipment of the power grid user in the power grid, a centralized meter reading mode is firstly adopted, and the centralized meter reading is carried out by taking the distribution transformer area as a basic unit. The concentrator is connected with a plurality of intelligent electric meters, and the intelligent electric meters collect the electricity utilization data of the electric equipment of the power grid users to the concentrator by taking the frequency of days, hours, minutes or seconds, and then the electricity utilization data are transmitted back to the load control unit by the concentrator through a communication network in a communication system. When receiving the electricity utilization data of the electric equipment, the load control unit forms a corresponding regulation and control instruction according to the electricity utilization data, and sends the regulation and control instruction to the electric system through a communication network in the communication system so as to adjust the electricity utilization load of the electric equipment according to the regulation and control instruction.

However, the power consumption equipment of the power grid user has different regulation and control requirements at different periods, for example, the power consumption equipment in the peak power consumption period has higher regulation and control requirements, that is, higher time delay requirements for regulation and control are required at this time, while the power consumption equipment in the non-peak power consumption period has lower regulation and control requirements, that is, the time delay requirements for regulation and control are not high at this time. The existing regulation and control mode cannot adjust communication resources according to regulation and control requirements in different periods so as to meet different time delay requirements, and therefore real-time performance and reliability of intelligent regulation and control of the virtual power plant are poor.

In order to solve the technical problem, in the embodiment of the application, historical electricity utilization data of a target time interval are analyzed, and boundary conditions of the bearing performance of a communication channel of the target time interval are determined based on the historical electricity utilization data, so that 5G network slice resources for power regulation in each time interval are respectively allocated according to the boundary conditions, and the reasonability of communication channel setting and the real-time performance and reliability of the power regulation are considered.

The virtual power plant intelligent regulation and control method based on the 5G network slice provided by the embodiment of the present application will be described and explained in detail through several specific embodiments.

As shown in fig. 1, in one embodiment, a virtual power plant intelligent regulation and control method based on 5G network slice is provided. The embodiment is mainly illustrated by applying the method to computer equipment. The computer device may specifically be the communication system described above.

Referring to fig. 2, the virtual power plant intelligent regulation and control method based on the 5G network slice specifically includes the following steps:

and S11, acquiring the clock information of the current time.

In an embodiment, the clock information of the current time may be obtained by real-time acquisition.

And S12, determining the target time interval corresponding to the clock information from each preset time interval.

In an embodiment, each preset time period may be determined by pre-dividing the time of day, and the time of each preset time period is the same. Illustratively, one preset period is 1 hour, so that 1 day can be divided into 24 preset periods, which are 0 point-1 point, 1 point-2 point … … 23 point-24 points respectively. Based on the pre-division of the plurality of preset time periods, the preset time period in which the clock information is located can be used as the target time period.

Wherein each preset time period constitutes a continuous time sequence.

S13, according to the historical electricity utilization data set of the electric equipment in the target time period, determining the network slice resources of the electric equipment in the target time period, and sending a regulation and control instruction of a virtual power plant to the electric equipment for load regulation and control through the network slice resources, wherein the historical electricity utilization data set comprises a plurality of historical electricity utilization data, the historical electricity utilization data are used for representing the electricity utilization load of the electric equipment, and the resource quantity of the network slice resources is positively correlated with the peak value of the historical electricity utilization data in the historical electricity utilization data set.

In an embodiment, after the historical electricity utilization data set of the target time period is obtained, and big data analysis is performed on the historical electricity utilization data set of the target time period, the resource amount of the corresponding 5G network slice resource can be determined from a preset mapping table according to a peak value in the historical electricity utilization data set, so that the 5G network slice resource of the electricity utilization equipment in the target time period is determined, data transmission is performed between the equipment in the target time period through the 5G network slice resource, and a regulation instruction of a virtual power plant is issued through the 5G network slice resource to perform load regulation and control on the electricity utilization equipment.

The network slice is used as a key technology of 5G communication, a physical network of an operator is divided into a plurality of logically independent virtual networks, each virtual network has different functional characteristics, different requirements and services can be flexibly met, the virtual networks are mutually isolated, and when one virtual network fails, other virtual networks cannot be influenced. At present, a mainstream mode is to slice based on a service scene, and the current mode is divided into an Enhanced Mobile Broadband (EMBB) slice, a Massive Machine Type Communication (MMTC) slice, and an ultra and Low Latency Communication (URLLC) slice, that is, three major application scenes of a 5G network slice. Network resources are virtualized through a Network Function Virtualization (NFV) technology and a Software Defined Network (SDN), all hardware is abstracted into three types of resources including calculation, storage and a Network for unified management and distribution, the resources with different sizes of different slices are provided, the isolation is complete, the interference is avoided, and the unified management and the resource segmentation of 5G Network slice resources are realized.

For example, after 5G network slice resources of the electric equipment in a target time period are determined, the network environment where the electric equipment is located can be evaluated, and the capacity of a power grid user corresponding to the electric equipment for self-building a private power grid is judged according to an evaluation result; if the power grid user has the capacity of self-building the power private network, deploying a 5G network slice corresponding to the priority of the power grid user in a mode of self-building a 5G power private network; if the power grid user does not have the capacity of self-building the private power grid, the 5G network slice corresponding to the priority of the power grid user is deployed in a mode of renting the public network of an operator.

Because the power grid users have different requirements on the reliability and the delay of power regulation at different periods, and the traditional communication technology has the defect of poor service quality due to the technical limitation, historical power consumption data of a target period are analyzed, the boundary condition of the bearing performance of a communication channel of the target period is determined based on the historical power consumption data, 5G slice resources for power regulation and control in each period are respectively distributed according to the boundary condition, a virtual power grid communication system is constructed based on the characteristics of high reliability and low time delay of 5G network slices, the high-quality requirements of a virtual power plant on energy, energy storage and load regulation and control are further met, the condition that the virtual power plant collects load information and issues regulation and control instructions untimely due to the traditional communication technology is effectively prevented, and the power failure risk caused by the delay of the regulation and control instructions can be avoided particularly in the power consumption peak period, the reasonability of communication channel setting and the real-time performance and reliability of electric power regulation are considered, and the safe operation of the power grid is guaranteed.

Meanwhile, after the network slice resources in each preset time period are determined, an association model of time variation trend and network slice resource variation can be constructed, so that the 5G network slice resources at the current moment can be rapidly determined based on the association model.

When matching the network slice resources with the peaks of the historical electricity consumption data, the possibility of the peaks of the historical electricity consumption data cannot be exhausted, and therefore, the peaks of the historical electricity consumption data may not be matched with the corresponding network slice resources. To this end, for S13, in an embodiment, as shown in fig. 2, the method further includes:

and S21, determining the electricity utilization data interval of the electric equipment in each preset time period according to the historical electricity utilization data set of the electric equipment in each preset time period.

In an embodiment, according to the peak value of the historical electricity utilization data in the historical electricity utilization data set and the lowest value of the historical electricity utilization data, the electricity utilization data interval of the electric equipment in each preset time period can be determined, namely the electricity utilization data interval of the preset time period is a closed interval formed by the lowest value of the historical electricity utilization data and the peak value of the historical electricity utilization data in the time period.

And S22, ranking the electricity utilization data intervals of the preset time periods to obtain the regulation and control level of the electric equipment in the target time period, wherein the maximum value of the electricity utilization data intervals is positively correlated with the regulation and control level.

In an embodiment, based on the maximum value of the power data intervals in each time period, rank ordering is performed from large to small to determine the regulation and control level of the electric equipment in each preset time period. And when the maximum values of at least two power data intervals are the same, comparing the minimum values of the power data intervals with the same maximum value, and ranking the power data intervals with the same maximum value according to the minimum values from large to small. And the power data interval with the higher rank is, the higher the regulation level of the corresponding preset time interval is. After the electric power data intervals of all the preset time periods are determined to be sorted, the regulation and control level of the target time period can be determined according to the sorting result.

And S23, configuring the network slice resources of the target time interval according to the regulation and control level of the target time interval.

In one embodiment, after determining the regulation level of a target time period, a corresponding network slice weight is assigned to the target time period based on the regulation level. Wherein, the higher the regulation level is, the larger the corresponding network slice weight is. And then distributing corresponding network slice resources from the reserved RB resources according to the network slice weight of the target time period. If the network slice weight of the target time interval is 50%, 50% of the network slice resources are divided from the reserved RB resources.

In allocating the corresponding network slice resources for each preset time period, in order to make the slice resources be reasonably utilized and avoid resource waste, in an embodiment, as shown in fig. 3, S23 includes:

s31, according to the regulation level of the target time interval, determining resource information and sharing information of the network slice resources of the target time interval, wherein the resource information is used for representing the resource amount of the network slice resources, the sharing information comprises sharing levels, and the sharing levels are used for representing different degrees of isolation between the network slice resources.

In an embodiment, each regulation and control level is preset with corresponding resource information and sharing information, wherein the higher the regulation and control level is, the higher the corresponding resource amount is, the higher the isolation degree represented by the sharing level is.

S32, configuring the network slice resource of the target time interval according to the resource information and the sharing information.

In one embodiment, the sharing level includes sharing, exclusive sharing, and isolation. Wherein, sharing means that the network slice resource can be multiplexed. The isolation is used for indicating that the two network slices use the same logical resources and physical resources, but configure different network parameters or application parameters to form the two network slices; or the two network slices use different logical resources, but the physical resources are the same, for example, the two network slices are respectively realized by two logical resources (virtual machines) virtualized on one physical resource (host); or the two network slices use different physical resources. Exclusive refers to exclusive sharing of all resources.

If the shared information of the target time interval is shared independently, a separate network slice is allocated to the shared information of the target time interval according to the resource information of the target time interval, namely the network slice A can only be used by the electric equipment in the target time interval. And if the shared information of the target time interval is isolated, distributing the network slices isolated from other network slices to the target time interval according to the resource information of the target time interval. And if the shared information in the target time period is shared, allocating a network slice which can be shared by other electric equipment to the electric equipment in the target time period according to the resource information in the target time period, wherein the RB resource reserved by the allocated shared network slice can meet the maximum multiplexing requirement of the plurality of electric equipment. For example, there are multiple consumers A, B, C, D, E, and multiple network slices 1 and 2 whose network levels are shared, the RB resource reserved by network slice 1 is only enough to meet the maximum requirement when a + B + C is multiplexed, and the RB resource reserved by network slice 2 is only enough to meet the maximum requirement when D + E is multiplexed, at this time, network slice 1 is allocated to consumer a, consumer B, and consumer C, and network slice 2 is allocated to consumer D and consumer E. After the same network slice is allocated to a plurality of electric equipment, resource reuse is arranged from high to low in the slice according to the processing priority of each electric equipment.

The resource information and the sharing information of the network slice resources of the electric equipment in the target time interval are determined through the regulation and control levels, so that the network slice resources corresponding to the sharing levels are allocated to the target time interval according to the resource information and the sharing information, part of the network slice resources can be reused, the network slice resources can be reasonably utilized, and resource waste is avoided.

In order to make the network slice resources allocated for the target time interval more accurate, in an embodiment, the method further includes: periodically updating the historical electricity utilization data set to adjust network slice resources of the electrical equipment in the target time period according to the updated historical electricity utilization data set.

The method comprises the steps that electricity utilization data of electric equipment are collected periodically through an intelligent electric meter, for example, the electricity utilization data are collected once every 15 minutes, so that the collected electricity utilization data are added into a historical electricity utilization data set every 15 minutes, after the historical electricity utilization data set is updated, an electricity utilization data interval of a target time interval is updated according to the updated historical electricity utilization data set every time, the regulation and control level of the target time interval is updated, and then the network slice resources of the electric equipment in the target time interval can be adjusted based on the updated regulation and control level. The slice network resources are updated in a preset time period by periodically collecting the electricity utilization data of the electric equipment, so that the correlation model of the time change trend and the network slice resource change can be continuously updated, the accuracy of the correlation model is continuously improved, and the accuracy of 5G slice resource division is continuously improved.

In order to make the network slice resources corresponding to the preset time periods more meet the actual requirements, in an embodiment, the duration of each preset time period is the same as the update cycle of the historical electricity consumption data set. For example, when the update cycle of the historical electricity consumption data set is 15 minutes, the duration of the preset time period is also 15 minutes, and the preset time period can be divided into 0 point-0 point 15 minutes, 0 point 15 minutes-0 point 30 minutes … … 23 points 45 minutes-24 points. Because the duration of the preset time period is the same as the updating period of the historical electricity utilization data set, the network slice resources required by each preset time period can better fit the change curve of the historical electricity utilization data, so that the real-time performance and the reliability of intelligent regulation and control of the virtual power plant are improved, the situation that the network slice resources are redundant in a part of updating periods when the duration of the preset time period reaches the duration of a plurality of updating periods is reduced, and further the waste of the network slice resources is reduced.

In one embodiment, as shown in fig. 4, there is provided a virtual power plant intelligent control device based on 5G network slice, including:

the information obtaining module 101 is configured to obtain clock information of a current time.

A time period determining module 102, configured to determine a target time period corresponding to the clock information from each preset time period.

The load regulation and control module 103 is used for determining the network slice resources of the electric equipment in the target time period according to the historical electric power utilization data set of the electric equipment in the target time period, so as to transmit the regulation and control instruction of a virtual power plant to the electric equipment for load regulation and control through the network slice resources, wherein the historical electric power utilization data set comprises a plurality of historical electric power utilization data, the historical electric power utilization data are used for representing the electric power utilization load of the electric equipment, and the resource quantity of the network slice resources is positively correlated with the peak value of the historical electric power utilization data in the historical electric power utilization data set.

In an embodiment, the load regulation module 103 is specifically configured to: determining a power utilization data interval of the electric equipment in each preset time period according to the historical power utilization data set of the electric equipment in each preset time period;

ranking the electricity utilization data intervals of all the preset time periods to obtain the regulation and control level of the electric equipment in the target time period, wherein the maximum value of the electricity utilization data intervals is positively correlated with the regulation and control level;

and configuring the network slice resources of the target time interval according to the regulation and control level of the target time interval.

In an embodiment, the load regulation module 103 is further configured to: determining resource information and shared information of the network slice resources in the target time period according to the regulation and control level of the target time period, wherein the resource information is used for representing the resource amount of the network slice resources, the shared information comprises shared levels, and the shared levels are used for representing the isolation of the network slice resources in different degrees;

and configuring the network slice resources of the target time period according to the resource information and the sharing information.

In one embodiment, the sharing level includes sharing, exclusive sharing, and isolation.

In an embodiment, the load regulation module 103 is further configured to: periodically updating the historical electricity utilization data set to adjust network slice resources of the electrical equipment in the target time period according to the updated historical electricity utilization data set.

In an embodiment, the duration of each of the preset time periods is the same as the update cycle of the historical electricity consumption data set.

In one embodiment, each of the predetermined time periods constitutes a continuous time sequence.

In one embodiment, a computer device is provided, as shown in fig. 5, comprising a processor, a memory, a communication interface, an input device, and a display screen connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by the processor, the processor can realize the virtual power plant intelligent regulation and control method based on the 5G network slice. The internal memory can also store a computer program, and when the computer program is executed by the processor, the processor can execute the virtual power plant intelligent regulation and control method based on the 5G network slice. Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, the virtual power plant intelligent regulation and control device based on 5G network slice provided by the present application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 5. The memory of the computer device can store various program modules which form the virtual power plant intelligent regulation and control device based on the 5G network slice. The computer program formed by the program modules enables the processor to execute the steps in the virtual power plant intelligent regulation and control method based on the 5G network slice in the embodiments of the application described in the specification.

In one embodiment, there is provided an electronic device including: the intelligent control method comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program and executes the steps of the intelligent control method based on the 5G network slice for the virtual power plant. Here, the steps of the virtual power plant intelligent regulation and control method based on the 5G network slice may be steps in the virtual power plant intelligent regulation and control method based on the 5G network slice in each of the above embodiments.

In one embodiment, a computer-readable storage medium is provided, which stores computer-executable instructions for causing a computer to perform the steps of the virtual plant intelligent regulation and control method based on 5G network slices. Here, the steps of the virtual power plant intelligent regulation and control method based on the 5G network slice may be steps in the virtual power plant intelligent regulation and control method based on the 5G network slice in each of the above embodiments.

The foregoing is a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations are also regarded as the protection scope of the present application.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.