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

Abstract

This application relates to a distribution network early warning method, device, computer equipment, storage medium and computer program product. The method includes: obtaining historical distribution network monitoring data for each grid in the distribution network grid map, where the historical distribution network monitoring data includes line current information and re-entry information for each grid in the grid map. Full load time information; locate the target grid in the grid map according to the line current information of each grid; select heavy load time information in each target grid based on the re-full load time information of each target grid. A fully loaded grid; generating target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid; and performing an early warning for the heavily loaded grid based on the target early warning information. Using this method can improve the accuracy of distribution network early warning.

Description

Distribution network early warning method, device, computer equipment and storage medium

Technical field

This application relates to the field of information processing technology, and in particular to a distribution network early warning method, device, computer equipment, storage medium and computer program product.

Background technique

At present, the urban distribution network is large but relatively weak. The power supply management of the entire distribution network is complex, and daily maintenance and troubleshooting are difficult. In response to the above problems, distribution network monitoring and early warning technology has emerged. This technology monitors the distribution network and obtains the operating status of the distribution network through the analysis of monitoring data, so as to carry out operation, inspection and maintenance based on the operating status.

In traditional distribution network monitoring and early warning technology, the real-time monitoring data of the distribution network is generally analyzed to obtain the operating status of the distribution network.

However, in the actual power supply process of the distribution network, due to the variability of user loads, the real-time monitoring data of the distribution network may have contingency. Early warning of the distribution network based on the real-time monitoring data of the distribution network may lead to the failure of the distribution network. The early warning accuracy is low.

Contents of the invention

Based on this, it is necessary to provide a distribution network early warning method, device, computer equipment, computer readable storage medium and computer program product that can improve the accuracy of early warning in response to the above technical problems.

In the first aspect, this application provides a distribution network early warning method. The methods include:

Obtain historical distribution network monitoring data for each grid in the distribution network grid map, where the historical distribution network monitoring data includes line current information and heavy load time information for each grid in the grid map;

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

According to the re-full load time information of each of the target grids, select the re-full load grids in each of the target grids;

Generate target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid;

Based on the target early warning information, an early warning is performed on the heavily loaded grid.

In one of the embodiments, screening the re-full load grids in each target grid based on the re-full load time information of each target grid includes:

According to the re-full load time information of each target grid, the re-full load time of each target grid within the preset period is determined; if the re-full load time of the target grid is greater than the preset re-full load time, the re-full load time of the target grid is determined. The target grid is determined to be a heavily loaded grid.

In one embodiment, generating target early warning information for the heavily loaded grid based on historical distribution network monitoring data of the heavily loaded grid includes:

Generate line warning information based on the line current information and heavy full load time information of the heavily loaded grid; generate the power supply margin of the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid, and Generate grid margin warning information based on the power supply margin and the preset margin threshold; extract maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and use the maximum power load information to and the total capacity of the transformer equipment of the heavy full load grid, determine the load capacity ratio of the heavy full load grid and generate distribution transformer early warning information based on the load capacity ratio and the preset load capacity ratio threshold; The early warning information, the grid margin early warning information and the distribution transformer early warning information are combined into target early warning information.

In one embodiment, the line early warning information includes a line early warning level; and generating line early warning information based on the line current information and heavy full load time information of the heavy full load grid includes:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time The information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the early warning for the heavily loaded grid based on the target early warning information includes:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning is issued to the heavily loaded grid, where the yellow warning is used to indicate focused monitoring of the heavily loaded grid; If the line warning level of the target warning information is greater than the first target level and less than the second target level, an orange warning is issued for the heavily loaded grid, where the orange warning is used to indicate that the heavily loaded grid is Carry out line inspection; if the line warning level of the target warning information is greater than or equal to the second target level, a red warning is issued to the heavily loaded grid, where the red warning is used to indicate that the heavily loaded grid is If the grid margin warning information indicates that the margin is too low, a blue warning will be issued to the heavily loaded grid, where the blue warning is used to indicate that the grid margin is too low. Line analysis is performed on the grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, a purple early warning is issued for the heavy full load grid, where the purple early warning is used to indicate increasing substation investment for the heavy full load grid. .

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

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; according to the grid margin warning information, the distribution network grid map is filled with color The heavy full load grid is filled with the first identification; according to the distribution transformer early warning information, the heavy full load grid in the distribution network grid map is filled with the second identification.

In the second aspect, this application also provides a distribution network early warning device. The device includes:

The information acquisition module is used to obtain the historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes the line current information of each grid in the grid map and Heavy load time information;

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

A heavily loaded grid screening module is used to screen heavily loaded grids in each of the target grids based on the heavy full load time information of each of the target grids;

An early warning information generation module, configured to generate target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid;

An early warning module is used to provide an early warning to the heavily loaded grid based on the target early warning information.

In a third aspect, this application also provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

Obtain historical distribution network monitoring data for each grid in the distribution network grid map, where the historical distribution network monitoring data includes line current information and heavy load time information for each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

In a fourth aspect, this application also provides a computer-readable storage medium. The computer-readable storage medium has a computer program stored thereon, and when the computer program is executed by the processor, the following steps are implemented:

Obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

In a fifth aspect, this application also provides a computer program product. The computer program product includes a computer program that implements the following steps when executed by a processor:

Obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

The above distribution network early warning method, device, computer equipment, storage medium and computer program product obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes The line current information and reload time information of each grid in the grid map; positioning the target grid in the grid map according to the line current information of each grid; according to the line current information of each target grid Heavy full load time information is used to screen heavy full load grids in each target grid; the target grid determined based on historical distribution network monitoring data and the filtered heavy full load grids are more accurate, which is conducive to improving the effectiveness of distribution network early warning. Accuracy; generate target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid; and perform early warning for the heavily loaded grid based on the target early warning information. In this application, the generation of the target early warning information not only considers the heavy full load current size, but also considers the length of the heavy full load time. Due to the uncertainty of the user load, considering the heavy full load time can improve the accuracy of the target early warning information, thereby improving the early warning. accuracy.

Description of the drawings

Figure 1 is an application environment diagram of the distribution network early warning method in one embodiment;

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

Figure 3 is a structural block diagram of a distribution network early warning device in one embodiment;

Figure 4 is an internal structure diagram of a computer device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

The distribution network early warning method provided by the embodiment of the present application can be applied in the application environment as shown in Figure 1. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system may store data that server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The terminal 102 obtains the historical distribution network monitoring data of each grid in the distribution network grid map and the distribution network grid map from the server 104, where the historical distribution network monitoring data includes the lines of each grid in the grid map. current information and reload time information; the terminal 102 locates the target grid in the grid map based on the line current information of each grid; the terminal 102 selects the reload time in each target grid based on the reload time information of each target grid. Fully loaded grid; the terminal 102 generates target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid; the terminal 102 provides early warning for the heavily loaded grid based on the target early warning information. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. . Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented as an independent server or a server cluster composed of multiple servers.

In one embodiment, as shown in Figure 2, a distribution network early warning method is provided. This method is explained by taking the method applied to the terminal 102 in Figure 1 as an example, and includes the following steps:

Step 202: Obtain historical distribution network monitoring data for each grid in the distribution network grid map, where the historical distribution network monitoring data includes line current information and heavy load time information for each grid in the grid map.

Among them, the distribution network can be divided into multiple areas according to the distribution of substations. The distribution network grid is used to represent each area of the distribution network. The line current information includes the current size of each line of the distribution network. Line current exceeding a certain threshold indicates that The line may be heavily loaded, and the heavy full load time information includes the accumulated duration of the line being heavily loaded within a period of time.

Step 204: Locate the target grid in the grid map based on the line current information of each grid.

Among them, the target grid refers to a grid where lines may be heavily loaded. When there are lines in the grid with line currents greater than the preset current threshold, it indicates that the grid is the target grid. The preset current threshold varies according to the continuous load of the line. The maximum current setting that causes its stable temperature to exceed the specified value.

As an example, step 204 includes: selecting grids whose line current information of each grid is greater than a preset current threshold as each target grid.

As an example, the preset current threshold is obtained by fitting the maximum current that the line can continuously carry without causing its stable temperature to exceed the specified value and the threshold coefficient, where the threshold coefficient is a constant from 0 to 1, which can be 0.8, for example, the line The maximum carrying current is 10A, and the preset current threshold can be 8A.

Step 206: Screen the heavily loaded grids in each target grid based on the reload time information of each target grid.

Among them, within a period of time, the accumulated time for which the line current of the line is greater than the preset current threshold exceeds the preset time period, indicating that the line is heavily loaded. A grid with heavily loaded lines is a heavily loaded grid.

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

As an example, if grid A has a cumulative full load duration of 1 hour in a day, grid B has a cumulative full load duration of 0.5 hours in a day, and the preset duration threshold is 1 hour in a day, then grid A It is a heavily loaded grid, and the B grid is not a heavily loaded grid.

Step 208: Generate target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid.

As an example, step 208 includes: generating line warning information, the grid margin warning information and the distribution transformer warning information of the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid.

As an example, the line current information of the heavy full load grid and the maximum carrying current of the line are fitted to obtain the current load ratio; the current load ratio and the heavy full load time information are multiplied to obtain the early warning level, and the early warning level is Target warning information.

As an example, the line current of the heavy-load grid is 11A, and the cumulative heavy-load time in a day is 2 hours. If the maximum carrying current of the line is 12A, the current load ratio is 11/12, and the heavy-load time can be The warning level for fully loaded grids is determined to be level 2.

Step 210: Provide an early warning for the heavily loaded grid based on the target early warning information.

Specifically, based on the warning level of the target warning information and the reason for the warning, the heavily loaded grid is warned.

In the above distribution network early warning method, the historical distribution network monitoring data of each grid in the distribution network grid map is obtained. The historical distribution network monitoring data includes the line current information and heavy weight of each grid in the grid map. Full load time information; locate the target grid in the grid map based on the line current information of each grid; select heavy full load grids in each target grid based on the heavy full load time information of each target grid; based on historical power distribution The target grid determined by network monitoring data and the screened heavy full load grid are more accurate, which is helpful to improve the accuracy of distribution network early warning, and screening the heavy full load grid on the basis of determining the target grid can improve the accuracy of the heavy full load grid. The screening efficiency is; based on the historical distribution network monitoring data of the heavily loaded grid, the target early warning information of the heavily loaded grid is generated; based on the target early warning information, the heavily loaded grid is given early warning. In this application, the generation of the target early warning information not only considers the heavy full load current size, but also considers the length of the heavy full load time. Due to the uncertainty of the user load, considering the heavy full load time can improve the accuracy of the target early warning information, thereby improving the early warning. accuracy.

In one embodiment, screening the re-full load grids in each target grid based on the re-full load time information of each target grid includes:

According to the reload time information of each target grid, determine the reload time of each target grid within the preset period; if the reload time of the target grid is greater than the preset reload time, the target grid is determined to be a heavily loaded network. grid.

The preset time period can be one day, one week or one month, and the preset full load time is determined according to the length of the preset time period. For example, when the preset time period is one day, the preset full load time can be 1 hour or 2 hours; When the preset time period is one week, the preset full load time can be 7 hours or 10 hours; when the preset time period is one month, the preset full load time can be 30 hours or 50 hours. The heavy full load time can 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, the maximum continuous heavy full load time and the cumulative heavy full load time of each target grid within the preset period are determined. If the maximum continuous heavy full load time is greater than the first preset heavy full load time or If the accumulated heavy full load time is greater than the second preset heavy full load time, the target grid is determined to be a heavy full load grid.

In this embodiment, whether the target grid is heavily loaded is determined based on the heavy full load time of the target grid within the preset period. Since the judgment is based on the heavy full load time of the preset period, accidents can be avoided, thereby improving the efficiency of the heavily loaded grid. accuracy.

In one embodiment, the target early warning information of the heavily loaded grid is generated based on the historical distribution network monitoring data of the heavily loaded grid, including:

Generate line warning information based on the line current information and heavy full load time information of the heavy full load grid; generate the power supply margin of the heavy full load grid based on the historical distribution network monitoring data of the heavy full load grid, and generate the power supply margin according to the power supply margin And the preset margin threshold generates grid margin warning information; extracts the maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and based on the maximum power load information and the total capacity of the substation equipment of the heavily loaded grid , determine the capacity-to-load ratio of the heavily loaded grid and generate distribution transformer early warning information based on the capacity-to-load ratio and the preset capacity-to-load ratio threshold; merge the line early warning information, grid margin early warning information and distribution transformer early warning information into target early warning information .

Among them, the capacity-to-load ratio refers to the ratio of the total capacity of the grid substation equipment to the maximum load of the power supply area. It indicates the relationship between the installed capacity of the grid and the highest actual operating capacity, reflecting the capacity reserve situation. The maximum power load information refers to the power distribution The maximum power load of users in the network monitoring data, the preset capacity-to-load ratio threshold is preset according to the actual situation of the distribution network, which can be 1.7 or 1.8; the power supply margin refers to the power supply capacity and power of the power system under actual working load conditions. The degree of difference between loads; the calculation of power supply margin can help evaluate the safety and stability of the power system, and provide guidance for grid planning and power equipment capacity selection. The preset margin threshold is set in advance according to the actual situation of the distribution network. Can be 0.5, 0.3.

Specifically, line early warning information is generated based on the line current information and heavy full load time information of the heavily loaded grid; based on the maximum available load of the grid and the maximum daily load of the grid in the historical distribution network monitoring data of the heavily loaded grid and grid user power load demand, generate the power supply margin of the heavily loaded grid, and generate grid margin early warning information based on the power supply margin and the preset margin threshold; monitor the historical distribution network of the heavily loaded grid Extract the maximum power load information from the data, divide the total capacity of the substation equipment of the heavy-full load grid by the maximum power load information, and obtain the capacity-to-load ratio of the heavy-full load grid. Based on the capacity-to-load ratio and the preset capacity-to-load ratio threshold, Generate distribution transformer early warning information; merge line early warning information, grid margin early warning information and distribution transformer early warning information into target early warning information.

As an example, the grid's current wiring supply margin = (the grid's maximum available load - the grid's highest daily load - the grid user's electricity load demand) / the grid's maximum available load * 100%.

As an example, corresponding levels of early warning can be carried out according to different power supply margins. For example, when the power supply margin is in the range of 0.2 to 0.3, early warnings that require focused monitoring are carried out. When the power supply margin is less than the 0.2 range, early warnings that need to be carried out are carried out. Alerts for line analysis.

In this embodiment, while generating line warning information, the load capacity ratio and power supply margin of the heavily loaded grid are further judged, and the grid margin is generated based on the load capacity ratio and power supply margin of the heavily loaded grid. degree early warning information and distribution transformer early warning information, the early warning information generated in this way is more comprehensive, more specific early warning can be carried out, and the accuracy of early warning can be improved.

In one embodiment, the line warning information includes the line warning level; the line warning information is generated according to the line current information and the time information of the heavy full load grid, including:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then combine the heavy full load time information with the first preset ratio Level fitting is used to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, where the second preset level is greater than First default level.

Among them, the current carrying capacity refers to the maximum current that the line can continuously carry without causing its stable temperature to exceed the specified value. In practical applications, if the line current reaches a certain proportion of the current carrying capacity, the line temperature may rise. Although it will not exceed the specified value, it Staying at this temperature for a long time may cause losses to the line. In this embodiment, when the current load ratio is greater than the first preset ratio, an early warning message is generated. When the current load ratio is equal to or greater than the second preset ratio, a higher level is generated. For early warning information, the first preset ratio can be 0.7 and 0.8; the second preset ratio can be 0.9 and 1; the first preset level can be 1 and the second preset level can be 2.

Specifically, the line current information of the heavy full load grid is divided by the carrying capacity to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time information is combined with the first preset ratio. Suppose the levels are multiplied together to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, then the heavy full load time information is multiplied by the second preset level to obtain the line 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, and the carrying capacity is 10A, the cumulative time of heavy full load is 3 hours, then the current load ratio is 0.9, which is greater than the first preset ratio and less than the second preset ratio, so the line warning level is 3*1.

In this embodiment, corresponding levels of early warning information are generated based on the relationship between the current load ratio and the preset ratio. Early warning information of different warning levels can reflect the different degrees of grid lines being heavily loaded, and can more accurately reflect the grid lines being heavily loaded. information, thereby improving the accuracy of early warning information.

In one embodiment, early warning for a heavily loaded grid is performed based on target early warning information, including:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning will be issued for the heavily loaded grid. The yellow warning is used to indicate focused monitoring of the heavily loaded grid; if the line warning level of the target warning information is Greater than the first target level and less than the second target level, an orange warning will be issued for the heavily loaded grid, where the orange warning is used to indicate line inspection of the heavily loaded grid; if the line warning level of the target warning information is greater than or equal to For the second target level, a red warning is issued for the heavily loaded grid, where the red warning is used to indicate load adjustment processing for the heavily loaded grid; if the grid margin warning information indicates that the margin is too low, a red warning is issued for the heavily loaded grid. The grid will carry out a blue warning, where the blue warning is used to indicate line analysis for the heavily loaded grid; if the distribution transformer warning information indicates that the capacity-to-load ratio is too low, a purple warning will be carried out for the heavily loaded grid, where the purple warning is used Instructions are given to increase investment in substations for heavy and fully loaded grids.

Among them, the first target level and the second target level can be preset according to the grading situation of the line warning level. The first target level is less than the second target level. The line warning level is less than or equal to the first target level, which indicates that the line is overloaded and the severity is light. degree, the heavily loaded grid can be monitored intensively; the line warning level is greater than the first target level and less than the second target level, which indicates that the severity of the line is moderate, and the line inspection can be carried out on the heavily loaded grid; the line warning level Greater than the second target level indicates that the severity of the line's overload is severe, and load adjustment processing can be performed on the heavily loaded grid; if the grid margin warning information indicates that the margin is too low, line analysis can be performed on the heavily loaded grid. According to the analysis As a result, corresponding measures are taken; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, the substation investment can be increased for the heavily loaded grid.

In this embodiment, according to the early warning level and the early warning reason of the target early warning information, a corresponding early warning is performed for the heavily loaded grid, and corresponding measures are instructed to be taken for the heavily loaded grid. The degree of heavy full load and the heavily loaded level of the heavily loaded grid can be Conveying the reasons specifically and clearly to technical personnel will help them take corresponding measures more efficiently for heavily loaded grids.

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

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; if the grid margin warning information indicates that the margin is too low, a blue warning is issued for the heavy full load grid. Among them, the blue warning is used to indicate the line analysis of the heavy and fully loaded grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, the first identification of the heavy and fully loaded grid in the distribution network grid map is filled; according to the distribution Change early warning information, and fill in the second identification for the heavily loaded grid in the distribution network grid map.

Among them, line analysis can analyze whether the line is fully utilized. If it is not fully utilized, the line can be further planned and utilized. If it is fully utilized, distribution lines can be added to improve the power supply margin.

In this embodiment, by color-filling and label-filling the heavy-loaded grids in the distribution network grid map, the distribution network grid map can intuitively reflect early warning information, which is conducive to technicians monitoring the distribution network. Analyze and take corresponding measures.

In one embodiment, historical distribution network monitoring data of each grid in the distribution network grid map is obtained, where the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map. ; Based on the line current information of each grid, locate the target grid in the grid map; based on the reload time information of each target grid, determine the reload time of each target grid within the preset period; if the target grid's If the heavy full load time is greater than the preset heavy full load time, the target grid is determined as the heavy full load grid; the target grid determined based on historical distribution network monitoring data and the screened heavy full load grid are more accurate, which is conducive to improving power distribution. The accuracy of the network early warning is to judge whether the target grid is heavily loaded based on the heavy full load time of the target grid within the preset period. Since the judgment is based on the heavy full load time of the preset period, accidents can be avoided, thereby improving the heavy full load network. Grid accuracy.

After the heavy full load grid is determined, the line current information and current carrying capacity of the heavy full load grid are fitted to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, the heavy full load ratio will be The full load time information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the full load time information is fitted to the second preset level to obtain the line warning level, Among them, the second preset level is greater than the first preset level; the maximum power load information is extracted from the historical distribution network monitoring data of the heavy full load grid, and the maximum power load information and the total capacity of the transformer equipment of the heavy full load grid are , determine the capacity-to-load ratio of the heavily loaded grid and generate distribution transformer early warning information based on the capacity-to-load ratio and the preset capacity-to-load ratio threshold; combine line early warning information, grid margin early warning information and distribution transformer early warning information into target early warning information ; While generating the line warning information, the load capacity ratio of the heavily loaded grid is further judged, and distribution transformer warning information is generated for the heavily loaded grid whose capacity ratio is less than the preset capacity load ratio threshold. The warning generated in this way The information is more comprehensive, allowing for more specific early warnings and improving the accuracy of early warnings.

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning will be issued for the heavily loaded grid. The yellow warning is used to indicate focused monitoring of the heavily loaded grid; if the line warning level of the target warning information is Greater than the first target level and less than the second target level, an orange warning will be issued for the heavily loaded grid, where the orange warning is used to indicate line inspection of the heavily loaded grid; if the line warning level of the target warning information is greater than or equal to For the second target level, a red warning is issued for the heavily loaded grid, where the red warning is used to indicate load adjustment processing for the heavily loaded grid; if the grid margin warning information indicates that the margin is too low, a red warning is issued for the heavily loaded grid. The grid will carry out a blue warning, where the blue warning is used to indicate line analysis for the heavily loaded grid; if the distribution transformer warning information indicates that the capacity-to-load ratio is too low, a purple warning will be carried out for the heavily loaded grid, where the purple warning is used It is used to instruct the heavy and full load grid to increase substation investment; according to the warning level and warning reason of the target early warning information, the corresponding early warning is carried out for the heavy and full load grid, and the corresponding measures are taken for the heavy and full load grid, and the heavy and full load grid can be The degree of heavy load and the reason for heavy load are conveyed to the technical personnel in a concrete and clear manner, which will help the technicians to take corresponding measures for the heavy load grid more efficiently.

It should be understood that although the steps in the flowcharts involved in the above-mentioned embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated in this article, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the above embodiments may include multiple steps or stages. These steps or stages are not necessarily executed at the same time, but may be completed at different times. The execution order of these steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

Based on the same inventive concept, embodiments of the present application also provide a distribution network early warning device for implementing the above-mentioned distribution network early warning method. The solution to the problem provided by this device is similar to the solution recorded in the above method. Therefore, the specific limitations in the embodiments of one or more distribution network early warning devices provided below can be found in the above article on distribution network early warning. The limitations of the method will not be repeated here.

In one embodiment, as shown in Figure 3, a distribution network early warning device is provided, including: an information acquisition module 302, a target grid determination module 304, a heavily loaded grid screening module 306, an early warning information generation module 308 and Early warning module 310, including:

The information acquisition module 302 is used to obtain historical distribution network monitoring data of each grid in the distribution network grid map, where the historical distribution network monitoring data includes line current information of each grid in the grid map. and heavy load time information;

The target grid determination module 304 is used to locate the target grid in the grid map according to the line current information of each grid;

The heavily loaded grid screening module 306 is used to screen the heavily loaded grids in each of the target grids according to the heavily loaded time information of each of the target grids;

An early warning information generation module 308 is configured to generate target early warning information for the heavily loaded grid based on the historical distribution network monitoring data of the heavily loaded grid;

The early warning module 310 is configured to provide an early warning for the heavily loaded grid based on the target early warning information.

In one embodiment, the heavily loaded grid screening module 306 is also used to:

According to the re-full load time information of each target grid, the re-full load time of each target grid within the preset period is determined; if the re-full load time of the target grid is greater than the preset re-full load time, the re-full load time of the target grid is determined. The target grid is determined to be a heavily loaded grid.

In one embodiment, the early warning information generation module 308 is also used to:

Generate line warning information based on the line current information and heavy full load time information of the heavily loaded grid; extract the maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and extract the maximum power load information based on the maximum power consumption Based on the load information and the total capacity of the transformer equipment of the heavily loaded grid, the capacity ratio of the heavily loaded grid is determined and based on the capacity ratio and the preset capacity ratio threshold, distribution transformer early warning information is generated; The line early warning information, the grid margin early warning information and the distribution transformer early warning information are combined into target early warning information.

In one embodiment, the early warning information generation module 308 is also used to:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time The information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the early warning module 310 is also used to:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning is issued to the heavily loaded grid, where the yellow warning is used to indicate focused monitoring of the heavily loaded grid; If the line warning level of the target warning information is greater than the first target level and less than the second target level, an orange warning is issued for the heavily loaded grid, where the orange warning is used to indicate that the heavily loaded grid is Carry out line inspection; if the line warning level of the target warning information is greater than or equal to the second target level, a red warning is issued to the heavily loaded grid, where the red warning is used to indicate that the heavily loaded grid is If the grid margin warning information indicates that the margin is too low, a blue warning will be issued to the heavily loaded grid, where the blue warning is used to indicate that the grid margin is too low. Line analysis is performed on the grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, a purple early warning is issued for the heavy full load grid, where the purple early warning is used to indicate increasing substation investment for the heavy full load grid. .

In one embodiment, the device further includes a distribution network grid map filling module for:

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; according to the grid margin warning information, the distribution network grid map is filled with color The heavy full load grid is filled with the first identification; according to the distribution transformer early warning information, the heavy full load grid in the distribution network grid map is filled with the second identification.

Each module in the above-mentioned distribution network early warning device can be realized in whole or in part through software, hardware and their combination. Each of the above modules may be embedded in or independent of the processor of the computer device in the form of hardware, or may be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 4 . The computer device includes a processor, memory, and network interfaces connected through a system bus. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage medium stores operating systems, computer programs and databases. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media. The database of the computer equipment is used to store the data required for early warning of the distribution network. The network interface of the computer device is used to communicate with external terminals through a network connection. The computer program is executed by a processor to implement a distribution network early warning method.

Those skilled in the art can understand that the structure shown in Figure 4 is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer equipment to which the solution of the present application is applied. Specific computer equipment can May include more or fewer parts than shown, or combine certain parts, or have a different arrangement of parts.

In one embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, it implements the following steps:

Obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

In one embodiment, the processor also implements the following steps when executing the computer program:

According to the re-full load time information of each target grid, the re-full load time of each target grid within the preset period is determined; if the re-full load time of the target grid is greater than the preset re-full load time, the re-full load time of the target grid is determined. The target grid is determined to be a heavily loaded grid.

In one embodiment, the processor also implements the following steps when executing the computer program:

Generate line warning information based on the line current information and heavy full load time information of the heavily loaded grid; extract the maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and extract the maximum power load information based on the maximum power consumption Based on the load information and the total capacity of the transformer equipment of the heavily loaded grid, the capacity ratio of the heavily loaded grid is determined and based on the capacity ratio and the preset capacity ratio threshold, distribution transformer early warning information is generated; The line early warning information, the grid margin early warning information and the distribution transformer early warning information are combined into target early warning information.

In one embodiment, the processor also implements the following steps when executing the computer program:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time The information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the processor also implements the following steps when executing the computer program:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning is issued to the heavily loaded grid, where the yellow warning is used to indicate focused monitoring of the heavily loaded grid; If the line warning level of the target warning information is greater than the first target level and less than the second target level, an orange warning is issued for the heavily loaded grid, where the orange warning is used to indicate that the heavily loaded grid is Carry out line inspection; if the line warning level of the target warning information is greater than or equal to the second target level, a red warning is issued to the heavily loaded grid, where the red warning is used to indicate that the heavily loaded grid is If the grid margin warning information indicates that the margin is too low, a blue warning will be issued to the heavily loaded grid, where the blue warning is used to indicate that the grid margin is too low. Line analysis is performed on the grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, a purple early warning is issued for the heavy full load grid, where the purple early warning is used to indicate increasing substation investment for the heavy full load grid. .

In one embodiment, the processor also implements the following steps when executing the computer program:

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; according to the grid margin warning information, the distribution network grid map is filled with color The heavy full load grid is filled with the first identification; according to the distribution transformer early warning information, the heavy full load grid in the distribution network grid map is filled with the second identification.

In one embodiment, a computer-readable storage medium is provided with a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

Obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

According to the re-full load time information of each target grid, the re-full load time of each target grid within the preset period is determined; if the re-full load time of the target grid is greater than the preset re-full load time, the re-full load time of the target grid is determined. The target grid is determined to be a heavily loaded grid.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Generate line warning information based on the line current information and heavy full load time information of the heavily loaded grid; extract the maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and extract the maximum power load information based on the maximum power consumption Based on the load information and the total capacity of the transformer equipment of the heavily loaded grid, the capacity ratio of the heavily loaded grid is determined and based on the capacity ratio and the preset capacity ratio threshold, distribution transformer early warning information is generated; The line early warning information, the grid margin early warning information and the distribution transformer early warning information are combined into target early warning information.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time The information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning is issued to the heavily loaded grid, where the yellow warning is used to indicate focused monitoring of the heavily loaded grid; If the line warning level of the target warning information is greater than the first target level and less than the second target level, an orange warning is issued for the heavily loaded grid, where the orange warning is used to indicate that the heavily loaded grid is Carry out line inspection; if the line warning level of the target warning information is greater than or equal to the second target level, a red warning is issued to the heavily loaded grid, where the red warning is used to indicate that the heavily loaded grid is If the grid margin warning information indicates that the margin is too low, a blue warning will be issued to the heavily loaded grid, where the blue warning is used to indicate that the grid margin is too low. Line analysis is performed on the grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, a purple early warning is issued for the heavy full load grid, where the purple early warning is used to indicate increasing substation investment for the heavy full load grid. .

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; according to the grid margin warning information, the distribution network grid map is filled with color The heavy full load grid is filled with the first identification; according to the distribution transformer early warning information, the heavy full load grid in the distribution network grid map is filled with the second identification.

In one embodiment, a computer program product is provided, comprising a computer program that when executed by a processor implements the following steps:

Obtain historical distribution network monitoring data of each grid in the distribution network grid map, wherein the historical distribution network monitoring data includes line current information and heavy load time information of each grid in the grid map; according to Locate the target grid in the grid map based on the line current information of each grid; select the re-full load grid in each target grid based on the re-full load time information of each target grid; The historical distribution network monitoring data of the heavily loaded grid generates target early warning information for the heavily loaded grid; and based on the target early warning information, an early warning is performed for the heavily loaded grid.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

According to the re-full load time information of each target grid, the re-full load time of each target grid within the preset period is determined; if the re-full load time of the target grid is greater than the preset re-full load time, the re-full load time of the target grid is determined. The target grid is determined to be a heavily loaded grid.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Generate line warning information based on the line current information and heavy full load time information of the heavily loaded grid; extract the maximum power load information from the historical distribution network monitoring data of the heavily loaded grid, and extract the maximum power load information based on the maximum power consumption The load information and the total capacity of the transformer equipment of the heavy full load grid are used to determine the load capacity ratio of the heavy full load grid and generate distribution transformer early warning information based on the load capacity ratio and the preset load capacity ratio threshold; The line early warning information, the grid margin early warning information and the distribution transformer early warning information are combined into target early warning information.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

Fit the line current information and current carrying capacity of the heavy full load grid to obtain the current load ratio; if the current load ratio is greater than the first preset ratio and less than the second preset ratio, then the heavy full load time The information is fitted to the first preset level to obtain the line warning level; if the current load ratio is equal to or greater than the second preset ratio, the heavy full load time information is fitted to the second preset level to obtain the line warning level, wherein the second preset level is greater than the first preset level.

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

If the line warning level of the target warning information is less than or equal to the first target level, a yellow warning is issued to the heavily loaded grid, where the yellow warning is used to indicate focused monitoring of the heavily loaded grid; If the line warning level of the target warning information is greater than the first target level and less than the second target level, an orange warning is issued for the heavily loaded grid, where the orange warning is used to indicate that the heavily loaded grid is Carry out line inspection; if the line warning level of the target warning information is greater than or equal to the second target level, a red warning is issued to the heavily loaded grid, where the red warning is used to indicate that the heavily loaded grid is If the grid margin warning information indicates that the margin is too low, a blue warning will be issued to the heavily loaded grid, where the blue warning is used to indicate that the grid margin is too low. Line analysis is performed on the grid; if the distribution transformer early warning information indicates that the capacity-to-load ratio is too low, a purple early warning is issued for the heavy full load grid, where the purple early warning is used to indicate increasing substation investment for the heavy full load grid. .

In one embodiment, the computer program, when executed by the processor, also implements the following steps:

According to the line warning level, the heavy full load grid and the heavy full load line in the distribution network grid map are filled with color; according to the grid margin warning information, the distribution network grid map is filled with color The heavy full load grid is filled with the first identification; according to the distribution transformer early warning information, the heavy full load grid in the distribution network grid map is filled with the second identification.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage. In the media, when executed, the computer program may include the processes of the above method embodiments. Any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory (Magnetoresistive Random) Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene memory, etc. Volatile memory may include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM). The databases involved in the various embodiments provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include blockchain-based distributed databases, etc., but are not limited thereto. The processors involved in the various embodiments provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to this.

The technical features of the above embodiments can be combined in any way. To simplify the description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, all possible combinations should be used. It is considered to be within the scope of this manual.

The above-described embodiments only express several implementation modes of the present application, and their descriptions are relatively specific and detailed, but should not be construed as limiting the patent scope of the present application. It should be noted that, for those of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all fall within the protection scope of the present application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims (10)

1. An early warning method for a power distribution network is characterized by comprising 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.

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:

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.

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.