CN117726102A

CN117726102A - Power distribution network early warning method, device, computer equipment and storage medium

Info

Publication number: CN117726102A
Application number: CN202311635096.4A
Authority: CN
Inventors: 尚龙龙; 刘洋宇; 门向阳; 刘国伟; 伍炜卫; 慈海; 罗井利; 汪建波; 吴江龙; 邱宏
Original assignee: Shenzhen Power Supply Co ltd
Current assignee: Shenzhen Power Supply Co ltd
Priority date: 2023-11-29
Filing date: 2023-11-29
Publication date: 2024-03-19

Abstract

The application relates to a distribution network early warning method, a distribution network early warning device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring historical power distribution network monitoring data of each grid in a power distribution network grid map, wherein the historical power distribution network monitoring data comprises line current information and reload time information of each grid in the grid map; positioning a target grid in the grid map according to the line current information of each grid; screening heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid; generating target early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid; and carrying out early warning on the heavy-full grid according to the target early warning information. By adopting the method, the accuracy of the power distribution network early warning can be improved.

Description

Power distribution network early warning method, device, computer equipment and storage medium

Technical Field

The present disclosure relates to the field of information processing technologies, and in particular, to a power distribution network early warning method, apparatus, computer device, storage medium, and computer program product.

Background

Currently, urban power distribution networks are huge in volume and relatively weak, power supply management of the whole power distribution network is complex, and daily maintenance and fault removal are difficult. Aiming at the problems, a monitoring and early warning technology of the power distribution network appears, and the technology monitors the power distribution network, and obtains the running condition of the power distribution network through analysis of monitoring data so as to carry out operation, inspection and maintenance according to the running condition.

In the conventional monitoring and early warning technology of a power distribution network, real-time monitoring data of the power distribution network are generally analyzed to obtain the running condition of the power distribution network.

However, in the actual power supply process of the power distribution network, due to the variability of the load of the user, the real-time monitoring data of the power distribution network may have accidents, and early warning is performed on the power distribution network according to the real-time monitoring data of the power distribution network, which may result in low early warning accuracy of the power distribution network.

Disclosure of Invention

Based on the foregoing, there is a need to provide a power distribution network early warning method, apparatus, computer device, computer readable storage medium and computer program product capable of improving early warning accuracy.

In a first aspect, the present application provides a power distribution network early warning method. The method comprises the following steps:

acquiring historical power distribution network monitoring data of each grid in a power distribution network grid map, wherein the historical power distribution network monitoring data comprises line current information and reload time information of each grid in the grid map;

Positioning a target grid in the grid map according to the line current information of each grid;

screening heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid;

generating target early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid;

and carrying out early warning on the heavy-full grid according to the target early warning information.

In one embodiment, the screening the heavy-full grid in each target grid according to the heavy-full time information of each target grid includes:

determining the reloading time of each target grid in a preset period according to the reloading time information of each target grid; and if the heavy full load time of the target grid is longer than the preset heavy full load time, determining the target grid as the heavy full load grid.

In one embodiment, the generating the target early warning information of the heavy full load grid according to the historical power distribution network monitoring data of the heavy full load grid includes:

generating line early warning information according to the line current information and the reloading time information of the reloading grid; generating power supply margin of the re-full grid according to the historical power distribution network monitoring data of the re-full grid, and generating grid margin early warning information according to the power supply margin and a preset margin threshold; extracting maximum electricity load information from historical power distribution network monitoring data of the heavy full-load grid, determining the capacity-to-load ratio of the heavy full-load grid according to the maximum electricity load information and the total capacity of power transformation equipment of the heavy full-load grid, and generating distribution transformer early warning information according to the capacity-to-load ratio and a preset capacity-to-load ratio threshold; and combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information.

In one embodiment, the line pre-warning information includes a line pre-warning level; generating line early warning information according to the line current information and the reloading time information of the reloading grid comprises the following steps:

fitting the line current information and the current carrying capacity of the heavy full-load grid to obtain a current load proportion; if the current load proportion is larger than the first preset proportion and smaller than the second preset proportion, fitting the heavy full load time information with a first preset grade to obtain a line early warning grade; and if the current load proportion is equal to or greater than a second preset proportion, fitting the heavy full load time information with a second preset level to obtain a line early warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the pre-warning the heavily loaded grid according to the target pre-warning information includes:

if the line early warning level of the target early warning information is smaller than or equal to a first target level, yellow early warning is carried out on the heavy full-load grid, wherein the yellow early warning is used for indicating to carry out key monitoring on the heavy full-load grid; if the line early warning level of the target early warning information is larger than the first target level and smaller than the second target level, carrying out orange early warning on the heavy full-load grid, wherein the orange early warning is used for indicating line inspection on the heavy full-load grid; if the line early warning level of the target early warning information is greater than or equal to a second target level, red early warning is carried out on the heavy full-load grid, wherein the red early warning is used for indicating that load adjustment is carried out on the heavy full-load grid; if the grid margin early warning information represents that the margin is too low, carrying out blue early warning on the heavy full-load grid, wherein the blue early warning is used for indicating line analysis on the heavy full-load grid; and if the capacity-to-load ratio of the distribution transformer early warning information is too low, carrying out purple early warning on the heavy full-load grid, wherein the purple early warning is used for indicating that the investment of the transformer substation is increased for the heavy full-load grid.

In one embodiment, after taking the line early-warning information as the target early-warning information if the capacity-to-capacity ratio is greater than or equal to a preset capacity-to-capacity ratio threshold, the method further includes:

according to the line early warning grade, color filling is carried out on the heavy full-load grids and the heavy full-load lines in the grid map of the power distribution network; according to the grid margin early warning information, performing first identification filling on the heavily-loaded grids in the grid map of the power distribution network; and carrying out second identification filling on the heavy-full grid in the grid map of the power distribution network according to the distribution transformer early warning information.

In a second aspect, the application further provides a power distribution network early warning device. The device comprises:

the information acquisition module is used for acquiring historical power distribution network monitoring data of each grid in a power distribution network grid map, wherein the historical power distribution network monitoring data comprises line current information and heavy loading time information of each grid in the grid map;

a target grid determining module, configured to locate a target grid in the grid map according to line current information of each grid;

the heavy-full-load grid screening module is used for screening heavy-full-load grids in the target grids according to the heavy-full-load time information of the target grids;

The early warning information generation module is used for generating target early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid;

and the early warning module is used for carrying out early warning on the heavy-full grid according to the target early warning information.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

acquiring historical power distribution network monitoring data of each grid in a power distribution network grid map, wherein the historical power distribution network monitoring data comprises line current information and reload time information of each grid in the grid map; positioning a target grid in the grid map according to the line current information of each grid; screening heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid; generating target early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid; and carrying out early warning on the heavy-full grid according to the target early warning information.

In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:

The power distribution network early warning method, the power distribution network early warning device, the computer equipment, the storage medium and the computer program product are characterized in that historical power distribution network monitoring data of each grid in a grid map of the power distribution network are obtained, wherein the historical power distribution network monitoring data comprise line current information and heavy loading time information of each grid in the grid map; positioning a target grid in the grid map according to the line current information of each grid; screening heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid; the target grid determined according to the historical power distribution network monitoring data and the screened heavy-full-load grid are more accurate, so that the accuracy of power distribution network early warning is improved; generating target early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid; and carrying out early warning on the heavy-full grid according to the target early warning information. In the method, the generation of the target early warning information considers the size of the heavy full load current and the length of the heavy full load time, and the accuracy of the target early warning information can be improved by considering the heavy full load time due to the uncertainty of the user load, so that the accuracy of early warning is improved.

Drawings

FIG. 1 is an application environment diagram of a power distribution network early warning method in one embodiment;

FIG. 2 is a schematic flow chart of a power distribution network early warning method in one embodiment;

FIG. 3 is a block diagram illustrating a power distribution network early warning device according to one embodiment;

fig. 4 is an internal structural diagram of a computer device in one embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

The power distribution network early warning method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 obtains historical power distribution network monitoring data of each grid in a power distribution network grid map and the power distribution network grid map from the server 104, wherein the historical power distribution network monitoring data comprises line current information and heavy loading time information of each grid in the grid map; the terminal 102 locates a target grid in a grid map according to the line current information of each grid; the terminal 102 screens the reloaded grids in each target grid according to the reloaded time information of each target grid; the terminal 102 generates target early warning information of the heavy full-load grid according to historical power distribution network monitoring data of the heavy full-load grid; the terminal 102 performs early warning on the heavy-load grid according to the target early warning information. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, a power distribution network early warning method is provided, and the method is applied to the terminal 102 in fig. 1 for illustration, and includes the following steps:

step 202, historical power distribution network monitoring data of each grid in a power distribution network grid map are obtained, wherein the historical power distribution network monitoring data comprise line current information and reload time information of each grid in the grid map.

The distribution network can be divided into a plurality of areas according to distribution of transformer substations, the grid of the distribution network is used for representing each area of the distribution network, the line current information comprises current of each line of the distribution network, the fact that the line current exceeds a certain threshold value indicates that the line is possibly heavily loaded, and the time information of the heavily loaded line comprises accumulated time length of the heavily loaded line in a period of time.

Step 204, locating the target grid in the grid map according to the line current information of each grid.

The target grid is a grid with possibly heavy line loading, and when a line with line current larger than a preset current threshold exists in the grid, the grid is indicated to be the target grid, and the preset current threshold is set according to the maximum current that the line continuously bears and does not cause the stable temperature to exceed a specified value.

As an example, step 204 includes: and taking grids with the line current information of each grid larger than a preset current threshold value as each target grid.

As an example, the preset current threshold is fitted according to the maximum current that the line continuously carries without causing its stable temperature to exceed the prescribed value, and a threshold coefficient, where the threshold coefficient is a constant of 0-1, which may be 0.8, for example, the maximum carrying current of the line is 10A, and the preset current threshold may be 8A.

And 206, screening the reloaded grids in each target grid according to the reloaded time information of each target grid.

And in a period of time, the accumulated time when the line current of the line is larger than the preset current threshold exceeds the preset time length, so that the line is fully loaded again, and the grid with the line being fully loaded again is the fully loaded grid.

As an example, step 206 includes: and screening the heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid and a preset time threshold.

As an example, the cumulative heavy full-load time of the a grid in one day is 1 hour, the cumulative heavy full-load time of the B grid in one day is 0.5 hour, and the preset time threshold is 1 hour in one day, which indicates that the a grid is a heavy full-load grid and the B grid is not a heavy full-load grid.

And step 208, generating target early warning information of the reloaded grid according to the historical power distribution network monitoring data of the reloaded grid.

As one example, step 208 includes: and generating line early warning information, grid margin early warning information and distribution transformer early warning information of the heavy full-load grid according to the historical power distribution network monitoring data of the heavy full-load grid.

As an example, fitting the line current information of the heavy full-load grid and the maximum load current of the line to obtain a current load proportion; multiplying the current load proportion and the heavy load time information to obtain an early warning grade, and taking the early warning grade as target early warning information.

As an example, the line current of the heavy full-load grid is 11A, the accumulated heavy full-load time period in one day is 2 hours, if the maximum load current of the line is 12A, the current load ratio is 11/12, and the early warning level of the heavy full-load grid can be determined to be 2 levels.

And 210, carrying out early warning on the heavy-load grid according to the target early warning information.

Specifically, the heavy full-load grid is pre-warned according to the pre-warning level and the pre-warning reason of the target pre-warning information.

In the power distribution network early warning method, historical power distribution network monitoring data of each grid in a grid map of the power distribution network are obtained, wherein the historical power distribution network monitoring data comprise line current information and heavy loading time information of each grid in the grid map; positioning a target grid in a grid map according to the line current information of each grid; screening the heavy-full-load grids in each target grid according to the heavy-full-load time information of each target grid; the target grids determined according to the historical power distribution network monitoring data and the screened heavy-full-load grids are more accurate, the accuracy of power distribution network early warning is improved, and the screening efficiency of the heavy-full-load grids can be improved by screening the heavy-full-load grids on the basis of determining the target grids; generating target early warning information of the heavy full load grid according to historical power distribution network monitoring data of the heavy full load grid; and carrying out early warning on the heavy full-load grid according to the target early warning information. In the method, the generation of the target early warning information considers the size of the heavy full load current and the length of the heavy full load time, and the accuracy of the target early warning information can be improved by considering the heavy full load time due to the uncertainty of the user load, so that the accuracy of early warning is improved.

In one embodiment, screening the heavily loaded grids in each target grid according to the heavily loaded time information of each target grid includes:

The preset time period may be one day, one week or one month, and the preset heavy-full-load time period is determined according to the length of the preset time period, for example, when the preset time period is one day, the preset heavy-full-load time period may be 1 hour or 2 hours; when the preset time period is one week, the preset heavy loading time period can be 7 hours or 10 hours; when the preset time period is one month, the preset heavy-load time period can be 30 hours or 50 hours. The heavy full load time may be the accumulated heavy full load time or the maximum continuous heavy full load time.

Specifically, according to the heavy full load time information of each target grid, determining the maximum continuous heavy full load time and the accumulated heavy full load time of each target grid in a preset period, and if the maximum continuous heavy full load time is greater than the first preset heavy full load time or the accumulated heavy full load time is greater than the second preset heavy full load time, determining the target grid as the heavy full load grid.

In this embodiment, whether the target grid is heavily loaded is determined according to the heavily loaded time of the target grid within the preset period, and due to the fact that the determination basis is the heavily loaded time of the preset period, accidental occurrence can be avoided, so that accuracy of the heavily loaded grid is improved.

In one embodiment, generating target early warning information of a heavy full grid according to historical power distribution network monitoring data of the heavy full grid includes:

generating line early warning information according to the line current information and the reloading time information of the reloading grid; generating power supply margin of the re-full grid according to historical power distribution network monitoring data of the re-full grid, and generating grid margin early warning information according to the power supply margin and a preset margin threshold; extracting maximum power consumption load information from historical power distribution network monitoring data of the heavy full-load grid, determining the capacity ratio of the heavy full-load grid according to the maximum power consumption load information and the total capacity of the power transformation equipment of the heavy full-load grid, and generating distribution transformer early warning information according to the capacity ratio and a preset capacity ratio threshold value; and combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information.

The capacity-to-load ratio refers to the ratio of the total capacity of grid power transformation equipment to the maximum load of a power supply area, the relation between the installation capacity of the grid and the maximum actual operation capacity is indicated, the capacity standby condition is reflected, the maximum power load information is used for assigning the maximum power load of a user in grid monitoring data, and the preset capacity-to-load ratio threshold value is preset according to the actual condition of a power distribution network and can be 1.7 and 1.8; the power supply margin refers to the degree of difference between the power supply capacity and the power load of the power system under the actual working load condition; the calculation of the power supply margin can help to evaluate the safety and stability of the power system, provide guidance for power grid planning and power equipment capacity selection, and the preset margin threshold value can be preset to be 0.5 or 0.3 according to the actual condition of the power distribution network.

Specifically, generating line early warning information according to line current information and time information of the reloaded grid; generating power supply margin of the reloaded grid according to grid maximum available load, grid maximum daily load and grid user power load requirements in historical power distribution network monitoring data of the reloaded grid, and generating grid margin early warning information according to the power supply margin and a preset margin threshold; extracting maximum electricity load information from historical power distribution network monitoring data of the heavy full-load grid, dividing the total capacity of power transformation equipment of the heavy full-load grid by the maximum electricity load information to obtain the capacity-to-load ratio of the heavy full-load grid, and generating distribution pre-warning information according to the capacity-to-load ratio and a preset capacity-to-load ratio threshold; and combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information.

As an example, grid status connection power supply margin = (grid maximum available load-grid maximum daily load-grid user electrical load demand)/grid maximum available load × 100%.

As an example, the early warning of the corresponding level can be performed according to the difference of the power supply margin, for example, when the power supply margin is in the interval of 0.2-0.3, the early warning that the important monitoring is needed is performed, and when the power supply margin is less than the interval of 0.2, the early warning that the line analysis is needed is performed.

In this embodiment, when generating the line early warning information, the capacity ratio and the power supply margin of the heavy full-load grid are further determined, and according to the capacity ratio and the power supply margin of the heavy full-load grid, the grid margin early warning information and the distribution transformer early warning information are generated, so that the generated early warning information is more comprehensive, early warning can be performed more specifically, and the early warning accuracy is improved.

In one embodiment, the line pre-warning information includes a line pre-warning level; generating line early warning information according to line current information and time information of the reloaded grid, including:

fitting the line current information and the current carrying capacity of the heavy full-load grid to obtain a current load proportion; if the current load proportion is larger than the first preset proportion and smaller than the second preset proportion, fitting the heavy full load time information with the first preset grade to obtain a line early warning grade; and if the current load proportion is equal to or greater than a second preset proportion, fitting the heavy full load time information with a second preset grade to obtain a line early warning grade, wherein the second preset grade is greater than the first preset grade.

The current-carrying capacity means the maximum current that the line continuously carries and does not cause the stable temperature of the line to exceed a specified value, in practical application, the line current reaches a certain proportion of the current-carrying capacity and possibly causes the temperature of the line to rise, although the current does not exceed the specified value, the line can be lost when the line is at the temperature for a long time, in the embodiment, early warning information is generated when the current load proportion is greater than a first preset proportion, and higher-level early warning information is generated when the current load proportion is equal to or greater than a second preset proportion, wherein the first preset proportion can be 0.7 and 0.8; the second preset ratio may be 0.9, 1; the first preset level may be 1 and the second preset level may be 2.

Specifically, dividing the line current information of the heavy-load grid by the current carrying capacity to obtain a current load proportion; if the current load proportion is larger than the first preset proportion and smaller than the second preset proportion, multiplying the heavy full load time information by the first preset level to obtain a line early warning level; and if the current load proportion is equal to or greater than the second preset proportion, multiplying the heavy full load time information by the second preset level to obtain the line early warning level.

As an example, the first preset ratio is 0.8, the second preset ratio is 1, the first preset level is 1, the second preset level is 2, the line current of the heavy full load grid is 9A, the current carrying capacity is 10A, the accumulated time of the heavy full load is 3 hours, the current load ratio is 0.9, and is greater than the first preset ratio and smaller than the second preset ratio, so the line early warning level is 3*1.

In this embodiment, the pre-warning information of the corresponding level is generated according to the magnitude relation between the current load proportion and the preset proportion, and the pre-warning information of different pre-warning levels can embody different degrees of the grid line heavy load, so that the grid line heavy load information can be more accurately embodied, and the accuracy of the pre-warning information is improved.

In one embodiment, pre-warning the heavy full-load grid according to the target pre-warning information, including:

If the line early warning level of the target early warning information is smaller than or equal to the first target level, yellow early warning is carried out on the heavy full-load grid, wherein the yellow early warning is used for indicating the heavy full-load grid to carry out key monitoring; if the line early warning level of the target early warning information is larger than the first target level and smaller than the second target level, performing orange early warning on the heavy full-load grid, wherein the orange early warning is used for indicating the line inspection on the heavy full-load grid; if the line early warning level of the target early warning information is greater than or equal to the second target level, red early warning is carried out on the heavy full-load grid, wherein the red early warning is used for indicating the load adjustment process of the heavy full-load grid; if the grid margin early warning information indicates that the margin is too low, carrying out blue early warning on the heavy full-load grid, wherein the blue early warning is used for indicating line analysis on the heavy full-load grid; and if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, carrying out purple early warning on the heavy full-load grid, wherein the purple early warning is used for indicating the heavy full-load grid to increase the investment of the transformer substation.

The first target grade and the second target grade can be preset according to the grading condition of the line early warning grade, the first target grade is smaller than the second target grade, the line early warning grade is smaller than or equal to the first target grade, the severity of the line heavy full load is represented as mild, and the heavy full load grid can be monitored in a key way; the line early warning level is larger than the first target level and smaller than the second target level, and represents that the severity of the line heavy loading is moderate, so that line inspection can be performed on the grid heavy loading; the line early warning level is larger than the second target level, and represents that the severity of the line heavy full load is severe, and load adjustment treatment can be carried out on the heavy full load grid; if the grid margin early warning information indicates that the margin is too low, line analysis can be carried out on the heavy-load grid, and corresponding measures are taken according to analysis results; if the distribution transformer early warning information represents that the capacity-to-load ratio is too low, the investment of the transformer substation can be increased for the heavy-load grid.

In this embodiment, according to the early warning level and the early warning reason of the target early warning information, the heavy full-load grid is correspondingly early warned, corresponding measures are indicated to be taken for the heavy full-load grid, and the heavy full-load degree and the heavy full-load reason of the heavy full-load grid can be specifically and clearly transmitted to the technician, so that the technician can more efficiently take corresponding measures for the heavy full-load grid.

In one embodiment, after taking the line early warning information as the target early warning information if the capacity ratio is greater than or equal to the preset capacity ratio threshold, the method further includes:

according to the line early warning grade, carrying out color filling on the heavy full-load grids and the heavy full-load lines in the grid map of the power distribution network; if the grid margin early warning information indicates that the margin is too low, carrying out blue early warning on the heavy full-load grid, wherein the blue early warning is used for indicating line analysis on the heavy full-load grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, performing first identification filling on heavy full-load grids in a grid map of the power distribution network; and carrying out second identification filling on the heavy full-load grids in the grid map of the power distribution network according to the distribution transformer early warning information.

The circuit analysis can analyze whether the circuit is fully utilized, if not, the circuit is further planned to be utilized, and if so, the distribution circuit can be additionally arranged to improve the power supply margin.

In the embodiment, the heavily-loaded grids in the grid map of the power distribution network are subjected to color filling and identification filling, so that the grid map of the power distribution network can intuitively embody early warning information, and technicians can monitor and analyze the power distribution network and take corresponding measures.

In one embodiment, historical power distribution network monitoring data of each grid in a power distribution network grid map is obtained, wherein the historical power distribution network monitoring data comprises line current information and reload time information of each grid in the grid map; positioning a target grid in a grid map according to the line current information of each grid; determining the reloading time of each target grid in a preset period according to the reloading time information of each target grid; if the heavy full load time of the target grid is longer than the preset heavy full load time, determining the target grid as the heavy full load grid; the target grid determined according to the historical power distribution network monitoring data and the screened heavily-loaded grid are more accurate, the accuracy of power distribution network early warning is improved, whether the target grid is heavily loaded or not is judged according to the heavily-loaded time of the target grid in a preset period, and due to the fact that the judgment basis is the heavily-loaded time of the preset period, the accidental can be avoided, and therefore the accuracy of the heavily-loaded grid is improved.

After determining the heavy-full grid, fitting the line current information and the current-carrying capacity of the heavy-full grid to obtain a current load proportion; if the current load proportion is larger than the first preset proportion and smaller than the second preset proportion, fitting the heavy full load time information with the first preset grade to obtain a line early warning grade; if the current load proportion is equal to or greater than a second preset proportion, fitting the heavy full load time information with a second preset level to obtain a line early warning level, wherein the second preset level is greater than the first preset level; extracting maximum power consumption load information from historical power distribution network monitoring data of the heavy full-load grid, determining the capacity ratio of the heavy full-load grid according to the maximum power consumption load information and the total capacity of the power transformation equipment of the heavy full-load grid, and generating distribution transformer early warning information according to the capacity ratio and a preset capacity ratio threshold value; combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information; and when the line early warning information is generated, the capacity ratio of the heavy full-load grid is further judged, and the distribution transformer early warning information is generated for the heavy full-load grid with the capacity ratio smaller than the Yu Yushe capacity ratio threshold, so that the generated early warning information is more comprehensive, early warning can be more specifically carried out, and the early warning accuracy is improved.

If the line early warning level of the target early warning information is smaller than or equal to the first target level, yellow early warning is carried out on the heavy full-load grid, wherein the yellow early warning is used for indicating the heavy full-load grid to carry out key monitoring; if the line early warning level of the target early warning information is larger than the first target level and smaller than the second target level, performing orange early warning on the heavy full-load grid, wherein the orange early warning is used for indicating the line inspection on the heavy full-load grid; if the line early warning level of the target early warning information is greater than or equal to the second target level, red early warning is carried out on the heavy full-load grid, wherein the red early warning is used for indicating the load adjustment process of the heavy full-load grid; if the grid margin early warning information indicates that the margin is too low, carrying out blue early warning on the heavy full-load grid, wherein the blue early warning is used for indicating line analysis on the heavy full-load grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, carrying out purple early warning on the heavy full-load grid, wherein the purple early warning is used for indicating the heavy full-load grid to increase the investment of the transformer substation; and according to the early warning level and the early warning reason of the target early warning information, corresponding early warning is carried out on the heavy full-load grid, corresponding measures are indicated to be taken on the heavy full-load grid, the heavy full-load degree and the heavy full-load reason of the heavy full-load grid can be specifically and clearly transmitted to technicians, and the technicians can take corresponding measures on the heavy full-load grid more efficiently.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a power distribution network early warning device for realizing the power distribution network early warning method. The implementation scheme of the solution to the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitation in the embodiment of one or more distribution network early-warning devices provided below can be referred to the limitation of the distribution network early-warning method hereinabove, and will not be repeated here.

In one embodiment, as shown in fig. 3, there is provided a power distribution network early warning device, including: an information acquisition module 302, a target grid determination module 304, a heavy full-load grid screening module 306, an early warning information generation module 308, and an early warning module 310, wherein:

the information obtaining module 302 is configured to obtain historical power distribution network monitoring data of each grid in a grid map of the power distribution network, where the historical power distribution network monitoring data includes line current information and heavy loading time information of each grid in the grid map;

a target grid determining module 304, configured to locate a target grid in the grid map according to line current information of each grid;

a heavy-full-load grid screening module 306, configured to screen heavy-full-load grids in each target grid according to heavy-full-load time information of each target grid;

the early warning information generating module 308 is configured to generate target early warning information of the heavy full-load grid according to historical power distribution network monitoring data of the heavy full-load grid;

and the early warning module 310 is configured to early warn the heavily loaded grid according to the target early warning information.

In one embodiment, the heavy full mesh screening module 306 is further configured to:

In one embodiment, the early warning information generation module 308 is further configured to:

generating line early warning information according to the line current information and the reloading time information of the reloading grid; extracting maximum electricity load information from historical power distribution network monitoring data of the heavy full-load grid, determining the capacity-to-load ratio of the heavy full-load grid according to the maximum electricity load information and the total capacity of power transformation equipment of the heavy full-load grid, and generating distribution transformer early warning information according to the capacity-to-load ratio and a preset capacity-to-load ratio threshold; and combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information.

In one embodiment, the pre-warning module 310 is further configured to:

In one embodiment, the apparatus further comprises a grid map filling module for a distribution network for:

All or part of the modules in the power distribution network early warning device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer equipment is used for storing data required by the power distribution network early warning. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a distribution network early warning method.

Those skilled in the art will appreciate that the structures shown in FIG. 4 are block diagrams only and do not constitute a limitation of the computer device on which the present aspects apply, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:

In one embodiment, the processor when executing the computer program further performs the steps of:

In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:

In one embodiment, the computer program when executed by the processor further performs the steps of:

In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims

1. An early warning method for a power distribution network is characterized by comprising the following steps:

2. The method of claim 1, wherein the screening the heavily loaded grids in each target grid based on the heavily loaded time information of each target grid comprises:

determining the reloading time of each target grid in a preset period according to the reloading time information of each target grid;

and if the heavy full load time of the target grid is longer than the preset heavy full load time, determining the target grid as the heavy full load grid.

3. The method of claim 1, wherein generating the target early warning information for the heavily loaded grid from historical distribution network monitoring data for the heavily loaded grid comprises:

generating line early warning information according to the line current information and the reloading time information of the reloading grid;

generating power supply margin of the re-full grid according to the historical power distribution network monitoring data of the re-full grid, and generating grid margin early warning information according to the power supply margin and a preset margin threshold;

Extracting maximum electricity load information from historical power distribution network monitoring data of the heavy full-load grid, determining the capacity-to-load ratio of the heavy full-load grid according to the maximum electricity load information and the total capacity of power transformation equipment of the heavy full-load grid, and generating distribution transformer early warning information according to the capacity-to-load ratio and a preset capacity-to-load ratio threshold;

and combining the line early warning information, the grid margin early warning information and the distribution transformer early warning information into target early warning information.

4. The method of claim 3, wherein the line pre-warning information comprises a line pre-warning level; generating line early warning information according to the line current information and the reloading time information of the reloading grid comprises the following steps:

fitting the line current information and the current carrying capacity of the heavy full-load grid to obtain a current load proportion;

if the current load proportion is larger than the first preset proportion and smaller than the second preset proportion, fitting the heavy full load time information with a first preset grade to obtain a line early warning grade;

and if the current load proportion is equal to or greater than a second preset proportion, fitting the heavy full load time information with a second preset level to obtain a line early warning level, wherein the second preset level is greater than the first preset level.

5. The method of claim 4, wherein the pre-warning the heavily loaded grid according to the target pre-warning information comprises:

if the line early warning level of the target early warning information is smaller than or equal to a first target level, yellow early warning is carried out on the heavy full-load grid, wherein the yellow early warning is used for indicating to carry out key monitoring on the heavy full-load grid;

if the line early warning level of the target early warning information is larger than the first target level and smaller than the second target level, carrying out orange early warning on the heavy full-load grid, wherein the orange early warning is used for indicating line inspection on the heavy full-load grid;

if the line early warning level of the target early warning information is greater than or equal to a second target level, red early warning is carried out on the heavy full-load grid, wherein the red early warning is used for indicating that load adjustment is carried out on the heavy full-load grid;

if the grid margin early warning information represents that the margin is too low, carrying out blue early warning on the heavy full-load grid, wherein the blue early warning is used for indicating line analysis on the heavy full-load grid;

and if the capacity-to-load ratio of the distribution transformer early warning information is too low, carrying out purple early warning on the heavy full-load grid, wherein the purple early warning is used for indicating that the investment of the transformer substation is increased for the heavy full-load grid.

6. The method of claim 4, wherein after taking the line warning information as the target warning information if the capacity ratio is greater than or equal to a preset capacity ratio threshold, the method further comprises:

according to the line early warning grade, color filling is carried out on the heavy full-load grids and the heavy full-load lines in the grid map of the power distribution network;

according to the grid margin early warning information, performing first identification filling on the heavily-loaded grids in the grid map of the power distribution network;

and carrying out second identification filling on the heavy-full grid in the grid map of the power distribution network according to the distribution transformer early warning information.

7. An early warning device for a power distribution network, the device comprising:

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.