Power distribution network digital twin operation state prediction analysis method and device

Abstract

The application discloses a power distribution network digital twin operation state prediction analysis method and device, relates to the technical field of power distribution networks, and has the technical scheme as follows: the method comprises the following steps: selecting an installation address before installing a power distribution line, and obtaining lightning stroke information at the installation address; analyzing the lightning stroke information at the installation address to determine a high-risk lightning area, obtaining lightning protection information of a grounding net in the high-risk lightning area, and obtaining fault information of the power distribution line after being installed at the installation address and suffering a lightning stroke; inputting the lightning protection information of the grounding net in the high-risk lightning area and the fault information of the power distribution line after being installed at the installation address and suffering a lightning stroke into a digital twin state model for processing and analysis to obtain a fault value; and the effect is that the lightning protection information of the grounding net in the high-risk lightning area and the fault information of the power distribution line after being installed at the installation address and suffering a lightning stroke are input into the digital twin state model for processing and analysis to obtain the fault value, and the fault value can reflect the operation state of the power distribution line in the high-risk lightning area.

Description

Technical Field

[0001] This invention relates to the field of power distribution network technology, and more specifically, to a method and apparatus for predicting and analyzing the operating status of a digital twin of a power distribution network. Background Technology

[0002] The distribution network is composed of overhead lines, cables, towers, distribution transformers, disconnect switches, reactive power compensators, and some auxiliary facilities. It plays an important role in distributing electrical energy in the power grid. The structure of the distribution network is large and complex. Due to the opening and closing of switches during faults or load transfer operations, the network structure often changes. However, the existing operation status prediction and analysis methods of the digital twin of the distribution network cannot predict the operation status of the distribution lines in the distribution network based on the lightning protection information of the grounding network in high-risk lightning areas. That is, it cannot understand the fault status of the distribution lines caused by lightning strikes in real time. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a method and device for predicting and analyzing the operating status of a digital twin of a power distribution network.

[0004] To achieve the above objectives, the present invention provides the following technical solution: A method for predicting and analyzing the operational status of a digital twin of a power distribution network, comprising the following steps: Before installing the power distribution line, select the installation location and obtain information on lightning strikes at the installation location.

[0005] The lightning strike information at the installation location is analyzed to identify high-risk lightning zones. The lightning protection information of the grounding network in the high-risk lightning zones and the fault information of lightning strikes after the installation of power distribution lines at the installation location are obtained.

[0006] The lightning protection information and installation address of the grounding network in high-risk lightning areas, as well as the fault information of the power distribution line after being struck by lightning, are input into the digital twin state model for processing and analysis to obtain the fault value.

[0007] The operating status of the distribution network is predicted based on the fault values.

[0008] When the power distribution network is not operating well, information on the natural environment at the installation location, the status of the power distribution lines, and the working status of the personnel during the maintenance of the power distribution lines are obtained.

[0009] The safety value is obtained by processing and analyzing the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line.

[0010] The safety threshold will alert staff whether it is necessary to suspend maintenance on the power distribution lines.

[0011] Preferably, the lightning strike information at the installation location includes information on the number of lightning strikes and the extent of damage to the building caused by the lightning strikes.

[0012] The number of lightning strikes is obtained by taking and marking the information. The number of lightning strikes is ZLC.

[0013] The information on the extent of lightning damage to a building is collected and labeled to obtain the lightning damage level value (CSL).

[0014] Preferably, through the first calculation function The damage value LJZ is calculated, where a1 and a2 are influencing factors and are greater than zero.

[0015] The damage value LJZ is compared with the preset damage threshold LJY.

[0016] If the damage value LJZ is greater than or equal to the preset damage threshold LJY, then the installation address is identified as a high-risk minefield.

[0017] If the damage value LJZ is less than the preset damage threshold LJY, then the installation address is identified as a low-risk minefield.

[0018] Preferably, the lightning protection information of the grounding network in the high-risk lightning zone includes the number of buildings in the high-risk lightning zone, the height of the tallest building in the high-risk lightning zone, and the resistance value of the grounding network in the high-risk lightning zone.

[0019] The number of buildings in high-risk minefields is obtained by taking and marking the information.

[0020] The height information of the tallest building in a high-risk minefield is obtained by taking and marking the height value of the tallest building in the high-risk minefield, GWG.

[0021] The resistance value of the grounding grid in high-risk lightning areas is obtained by taking and marking the information. The resistance value of the grounding grid in high-risk lightning areas is GDF.

[0022] Preferably, the fault information includes fault count information and fault recovery time information.

[0023] The fault count information is obtained by taking values ​​and marking them to obtain the fault count value GCS.

[0024] The fault recovery time information is obtained by taking values ​​and marking them to obtain the fault recovery time value GHS.

[0025] Through the second calculation function The fault value GZZ is calculated, where b1, b2, b3, b4 and b5 are scaling factors and are greater than zero.

[0026] The fault value GZZ is compared with the preset fault threshold GZY.

[0027] If the fault value GZZ is greater than or equal to the preset fault threshold GZY, the distribution network is in poor operating condition.

[0028] If the fault value GZZ is less than the preset fault threshold GZY, the distribution network is in a better operating condition.

[0029] Preferably, the natural environment information at the installation location includes rainfall information, haze information, and snow / ice information at the installation location.

[0030] The status information of the power distribution line includes the duration of the power outage and the length of the damaged power distribution line.

[0031] The work status information of the staff when repairing the power distribution line includes the continuous working time of the staff when repairing the power distribution line and the height of the staff above the ground when repairing the power distribution line.

[0032] Preferably, the rainwater information at the installation location is collected and marked to obtain the rainwater value YSZ at the installation location.

[0033] The haze information at the installation address is extracted and marked to obtain the haze value WMZ at the installation address.

[0034] The ice and snow information at the installation address is retrieved and marked to obtain the ice and snow value BXZ at the installation address.

[0035] The power outage duration information of the power distribution line is obtained by taking values ​​and marking them to obtain the power outage duration value DDS of the power distribution line.

[0036] The damaged length information of the power distribution line is taken and marked to obtain the damaged length value PSC of the power distribution line.

[0037] The working time value GZS is obtained by taking and marking the information of the continuous working time of the staff when repairing the power distribution line.

[0038] The height value GDZ is obtained by taking and marking the height information of the power distribution line above the ground during maintenance.

[0039] Preferably, through a third calculation function The safety value AQZ is calculated; where c1, c2, c3, c4, c5, c6, and c7 are influencing factors and are greater than zero.

[0040] The safety value AQZ is compared with the preset safety threshold AQY.

[0041] If the safety value AQZ is greater than or equal to the preset safety threshold AQY, staff will be reminded to suspend maintenance on the power distribution lines.

[0042] If the safety value AQZ is less than the preset safety threshold AQY, then staff will not be notified to suspend maintenance on the power distribution lines.

[0043] The device for predicting and analyzing the operating status of a digital twin of a distribution network, and the method for predicting and analyzing the operating status of a digital twin of a distribution network, are characterized in that they include a first acquisition module, a second acquisition module, an analysis module, an evaluation module, a third acquisition module, a processing module, and an alert module.

[0044] The first acquisition module selects the installation address before installing the power distribution line and acquires information about lightning strikes at the installation address.

[0045] The second acquisition module analyzes the lightning strike information at the installation address to determine high-risk lightning zones, and then obtains the lightning protection information of the grounding network in the high-risk lightning zones, as well as the fault information of the power distribution lines installed at the installation address after being struck by lightning.

[0046] The analysis module inputs the lightning protection information of the grounding network in high-risk lightning areas and the fault information of the power distribution lines after installation into the digital twin state model for processing and analysis to obtain fault values.

[0047] The evaluation module predicts the operating status of the distribution network based on the fault values.

[0048] When the operating status of the power distribution network is poor, the third acquisition module acquires the natural environment information at the installation address, the status information of the power distribution lines, and the working status information of the staff when maintaining the power distribution lines.

[0049] The processing module processes and analyzes the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line to obtain a safety value.

[0050] The reminder module alerts staff based on safety values ​​whether it is necessary to suspend maintenance on the power distribution lines.

[0051] Compared with the prior art, the present invention has the following beneficial effects: This application involves obtaining lightning strike information at the installation location before installing the power distribution line, and analyzing this information to identify high-risk lightning zones. If the installation location is determined to be a high-risk lightning zone, a grounding network needs to be established in the high-risk lightning zone to achieve lightning protection and prevent damage to the power distribution line from lightning strikes. This application inputs the lightning protection information of the grounding network in the high-risk lightning zone and the fault information of lightning strikes after the power distribution line is installed into a digital twin state model for processing and analysis to obtain fault values. The fault values ​​can reflect the operating status of the power distribution line in the high-risk lightning zone. Furthermore, when the operating status of the power distribution network is unfavorable, it can process and analyze the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the personnel during power distribution line maintenance in real time to obtain safety values. This allows the assessment of whether it is safe for the personnel to maintain the power distribution line. If the maintenance is in a safe state, the personnel will not be reminded to suspend the maintenance. If the maintenance is in an unsafe state, the personnel will be reminded to suspend the maintenance. Attached Figure Description

[0052] Figure 1 This is a flowchart illustrating the method for predicting and analyzing the operating status of a digital twin of a distribution network proposed in this invention. Figure 2 This is a schematic diagram of the module of the distribution network digital twin operation status prediction and analysis device proposed in this invention. Detailed Implementation

[0053] Reference Figures 1 to 2 The following is a further explanation of the embodiment of the method and device for predicting and analyzing the operating status of the digital twin of the power distribution network of the present invention.

[0054] A method for predicting and analyzing the operational status of a digital twin of a power distribution network, comprising the following steps: Before installing the power distribution line, select the installation location and obtain information on lightning strikes at the installation location.

[0055] The lightning strike information at the installation location is analyzed to identify high-risk lightning zones. The lightning protection information of the grounding network in the high-risk lightning zones and the fault information of lightning strikes after the installation of power distribution lines at the installation location are obtained.

[0056] The lightning protection information and installation address of the grounding network in high-risk lightning areas, as well as the fault information of the power distribution line after being struck by lightning, are input into the digital twin state model for processing and analysis to obtain the fault value.

[0057] The operating status of the distribution network is predicted based on the fault values.

[0058] When the power distribution network is not operating well, information on the natural environment at the installation location, the status of the power distribution lines, and the working status of the personnel during the maintenance of the power distribution lines are obtained.

[0059] The safety value is obtained by processing and analyzing the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line.

[0060] The safety threshold will alert staff whether it is necessary to suspend maintenance on the power distribution lines.

[0061] This application involves obtaining lightning strike information at the installation location before installing the power distribution line, and analyzing this information to identify high-risk lightning zones. If the installation location is determined to be a high-risk lightning zone, a grounding network needs to be established in the high-risk lightning zone to achieve lightning protection and prevent damage to the power distribution line from lightning strikes. This application inputs the lightning protection information of the grounding network in the high-risk lightning zone and the fault information of lightning strikes after the power distribution line is installed into a digital twin state model for processing and analysis to obtain fault values. The fault values ​​can reflect the operating status of the power distribution line in the high-risk lightning zone. Furthermore, when the operating status of the power distribution network is unfavorable, it can process and analyze the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the personnel during power distribution line maintenance in real time to obtain safety values. This allows the assessment of whether it is safe for the personnel to maintain the power distribution line. If the maintenance is in a safe state, the personnel will not be reminded to suspend the maintenance. If the maintenance is in an unsafe state, the personnel will be reminded to suspend the maintenance.

[0062] Information on lightning strikes at the installation location includes the number of times the building was struck and the extent of damage caused by the lightning strikes.

[0063] Since cameras are installed at the installation locations, information on the number of times a building has been struck by lightning can be obtained through these cameras. At the same time, information on the area of ​​damage caused by lightning strikes can be obtained through these cameras, which can reflect the extent of damage caused by lightning strikes to the building.

[0064] The number of lightning strikes is obtained by taking and marking the information. The number of lightning strikes is ZLC.

[0065] It should be noted that if the installation location is struck by lightning 3 times, the value of the number of lightning strikes ZLC is 3; if the installation location is struck by lightning 5 times, the value of the number of lightning strikes ZLC is 5.

[0066] The information on the extent of lightning damage to a building is collected and labeled to obtain the lightning damage level value (CSL).

[0067] Since the information on the area of ​​damage to a building caused by lightning strikes can reflect the degree of damage, if the area of ​​damage caused by lightning strikes to a building is 1 square meter, the value of the number of lightning strikes ZLC is 1; if the area of ​​damage caused by lightning strikes to a building is 3 square meters, the value of the number of lightning strikes ZLC is 3.

[0068] Through the first calculation function The damage value LJZ is calculated, where a1 and a2 are influencing factors and are greater than zero.

[0069] Here, the value of a1 is set to 1, and the value of a2 is set to 5. When the value of the number of lightning strikes (ZLC) is 3 and the value of the number of lightning strikes (ZLC) is 1, the first calculation function... The calculated damage value LJZ is 8.

[0070] The damage value LJZ is compared with the preset damage threshold LJY.

[0071] If the damage value LJZ is greater than or equal to the preset damage threshold LJY, then the installation address is identified as a high-risk minefield.

[0072] If the damage value LJZ is less than the preset damage threshold LJY, then the installation address is identified as a low-risk minefield.

[0073] It should be noted that the preset damage threshold LJY is set to 10. When the damage value LJZ is 13, since the damage value LJZ is greater than the preset damage threshold LJY, the installation address is identified as a high-risk minefield. When the damage value LJZ is 8, since the damage value LJZ is less than the preset damage threshold LJY, the installation address is identified as a low-risk minefield.

[0074] The lightning protection information for the grounding network in high-risk lightning zones includes the number of buildings in the high-risk lightning zones, the height of the tallest building in the high-risk lightning zones, and the resistance value of the grounding network in the high-risk lightning zones.

[0075] It is important to note that the more buildings in a high-risk lightning zone, the worse the lightning protection effect of the zone, meaning the power lines are more susceptible to lightning strikes. Similarly, the taller the building in a high-risk lightning zone, the worse the lightning protection effect, meaning the power lines are more susceptible to lightning strikes. Furthermore, if the grounding grid resistance in a high-risk lightning zone meets certain requirements, it indicates that the lightning protection effect is also poor, meaning the power lines are more vulnerable to lightning strikes.

[0076] The number of buildings in high-risk minefields is obtained by taking and marking the information.

[0077] It should be noted that if there are 3 buildings in a high-risk minefield, the value of the number of buildings in the high-risk minefield, GWS, is 3; if there are 5 buildings in a high-risk minefield, the value of the number of buildings in the high-risk minefield, GWS, is 5.

[0078] The height information of the tallest building in a high-risk minefield is obtained by taking and marking the height value of the tallest building in the high-risk minefield, GWG.

[0079] It should be noted that if the height of the tallest building in a high-risk minefield is 50 meters, then the height value of the tallest building in the high-risk minefield, GWG, is 50; if the height of the tallest building in a high-risk minefield is 80 meters, then the height value of the tallest building in the high-risk minefield, GWG, is 80.

[0080] The resistance value of the grounding grid in high-risk lightning areas is obtained by taking and marking the information. The resistance value of the grounding grid in high-risk lightning areas is GDF.

[0081] It should be noted that since the resistance of the grounding grid in a high-risk lightning protection zone can achieve the effect of lightning protection, if the resistance of the grounding grid in a high-risk lightning protection zone meets the requirements, the lightning protection effect of the high-risk lightning protection zone is good, that is, the value of the grounding grid resistance compliance value GDF in the high-risk lightning protection zone is 1. If the resistance of the grounding grid in a high-risk lightning protection zone does not meet the requirements, the lightning protection effect of the high-risk lightning protection zone is poor, that is, the value of the grounding grid resistance compliance value GDF in the high-risk lightning protection zone is 10.

[0082] The fault information includes the number of faults and the fault recovery time.

[0083] It is important to note that a higher number of power distribution line failures indicates poor operating conditions, while fewer failures suggest better operating conditions. Since power distribution lines require maintenance after a failure, the recovery time can indicate the extent of damage caused by lightning strikes. Longer recovery times indicate greater damage, while shorter times indicate less damage.

[0084] The fault count information is obtained by taking values ​​and marking them to obtain the fault count value GCS.

[0085] It should be noted that if the power distribution line experiences 3 faults, the fault count value GCS will be 3; if the power distribution line experiences 5 faults, the fault count value GCS will be 5.

[0086] The fault recovery time information is obtained by taking values ​​and marking them to obtain the fault recovery time value GHS.

[0087] It should be noted that after a power distribution line fails, it needs to be repaired and restored by staff. If the power distribution line fails and requires 3 hours to repair and restore, the fault recovery time value GHS is 3. If the power distribution line fails and requires 6 hours to repair and restore, the fault recovery time value GHS is 6.

[0088] Through the second calculation function The fault value GZZ is calculated, where b1, b2, b3, b4 and b5 are scaling factors and are greater than zero.

[0089] It should be noted that here, b2 is set to 0.1, b3 to 10, and b1, b4, and b5 are all set to 1. With the following conditions: the number of buildings in the high-risk lightning zone (GWS) is 3; the height of the tallest building in the high-risk lightning zone (GWG) is 50; the grounding grid resistance in the high-risk lightning zone (GDF) is 1; the number of faults (GCS) is 3; and the fault recovery time (GHS) is 3, the second calculation function... The calculated fault value GZZ is 24.

[0090] The fault value GZZ is compared with the preset fault threshold GZY.

[0091] If the fault value GZZ is greater than or equal to the preset fault threshold GZY, the distribution network is in poor operating condition.

[0092] If the fault value GZZ is less than the preset fault threshold GZY, the distribution network is in a better operating condition.

[0093] Here, the preset fault threshold GZY is set to 20. When the fault value GZZ is 24, the operating status of the distribution network is poor because the fault value GZZ > the preset fault threshold GZY. When the fault value GZZ is 16, the operating status of the distribution network is better because the fault value GZZ < the preset fault threshold GZY.

[0094] The natural environmental information at the installation location includes rainfall information, haze information, and snow and ice information at the installation location.

[0095] When a power distribution line malfunctions, it requires maintenance by staff. By obtaining information about the natural environment at the installation location of the power distribution line, it can be determined whether maintenance needs to be temporarily suspended. If it rains at the installation location, it will affect the difficulty of maintenance. If there is fog or haze at the installation location, it will affect the visibility of the staff, thus increasing the difficulty of maintenance. If there is ice or snow at the installation location, it will also increase the difficulty of maintenance.

[0096] The status information of power distribution lines includes the duration of power outages and the length of damaged power distribution lines.

[0097] It is important to note that the duration of power outages and the length of damage to power distribution lines can reflect the workload of maintenance personnel. When the workload of maintenance personnel is heavy, they should be reminded to take breaks and not to continue maintenance on power distribution lines for extended periods.

[0098] The work status information of the staff when repairing the power distribution line includes the continuous working time of the staff when repairing the power distribution line and the height of the staff above the ground when repairing the power distribution line.

[0099] The longer the continuous working time of the staff when repairing power distribution lines, the more easily the staff will get tired. The higher the staff are above the ground when repairing power distribution lines, the more dangerous it is for the staff. The staff need to be in a good mental state to repair the power distribution lines. Therefore, it is necessary to remind the staff to take a break in time after repairing the power distribution lines.

[0100] The rainwater information at the installation location is retrieved and marked to obtain the rainwater value YSZ at the installation location.

[0101] It should be noted that if it is raining when the workers are repairing the power distribution lines at the installation location, the rainfall value YSZ at the installation location will be 3; if it is not raining when the workers are repairing the power distribution lines at the installation location, the rainfall value YSZ at the installation location will be 0.

[0102] The haze information at the installation address is extracted and labeled to obtain the haze value WMZ at the installation address.

[0103] It should be noted that if the maintenance personnel are in a foggy or hazy state when repairing the power distribution lines at the installation location, the foggy or hazy value WMZ at the installation location will be 3; if the maintenance personnel are not in a foggy or hazy state when repairing the power distribution lines at the installation location, the foggy or hazy value WMZ at the installation location will be 0.

[0104] The ice and snow information at the installation address is retrieved and marked to obtain the ice and snow value BXZ at the installation address.

[0105] It should be noted that if the maintenance work is carried out in icy or snowy weather at the installation location, the icy / snow value BXZ at the installation location will be 3; if the maintenance work is carried out in non-icy or snowy weather, the icy / snow value BXZ at the installation location will be 0.

[0106] The power outage duration information of the power distribution line is obtained by taking values ​​and marking them to obtain the power outage duration value DDS of the power distribution line.

[0107] It should be noted that if the power outage duration of the power distribution line is 2 hours, the power outage duration value DDS of the power distribution line is 2; if the power outage duration of the power distribution line is 6 hours, the power outage duration value DDS of the power distribution line is 6.

[0108] The damaged length information of the power distribution line is taken and marked to obtain the damaged length value PSC of the power distribution line.

[0109] It should be noted that if the damaged length of the power distribution line is 1 meter, the value of the damaged length PSC is 1; if the damaged length of the power distribution line is 3 meters, the value of the damaged length PSC is 3.

[0110] The working time value GZS is obtained by taking and marking the information of the continuous working time of the staff when repairing the power distribution line.

[0111] It should be noted that if the continuous working time of the staff in repairing the power distribution line is 1 hour, the working time value GZS is 1; if the continuous working time of the staff in repairing the power distribution line is 3 hours, the working time value GZS is 3.

[0112] The height value GDZ is obtained by taking and marking the height information of the power distribution line above the ground during maintenance.

[0113] If the worker is 10 meters above the ground when repairing the power distribution line, the height value GDZ is 10. If the worker is 36 meters above the ground when repairing the power distribution line, the height value GDZ is 36.

[0114] Through the third calculation function The safety value AQZ is calculated; where c1, c2, c3, c4, c5, c6, and c7 are influencing factors and are greater than zero.

[0115] It should be noted that here, the values ​​of c1, c2, c3, c4, c5, and c6 are set to 1, and the value of c7 is set to 0.1. With the following conditions: rainwater value YSZ at the installation location is 3, haze value WMZ at the installation location is 0, ice and snow value BXZ at the installation location is 0, power outage duration value DDS of the power distribution line is 2, damaged length value PSC of the power distribution line is 1, working duration value GZS is 1, and altitude value GDZ is 10, the calculation is performed using the third calculation function. The calculated safety value AQZ is 8.

[0116] The safety value AQZ is compared with the preset safety threshold AQY.

[0117] If the safety value AQZ is greater than or equal to the preset safety threshold AQY, staff will be reminded to suspend maintenance on the power distribution lines.

[0118] If the safety value AQZ is less than the preset safety threshold AQY, then staff will not be notified to suspend maintenance on the power distribution lines.

[0119] Here, the preset safety threshold AQY is set to 8. When the safety value AQZ is 8, since the safety value AQZ is greater than the preset safety threshold AQY, the staff will be reminded to suspend the maintenance of the power distribution line. When the safety value AQZ is 6, since the safety value AQZ is less than the preset safety threshold AQY, the staff will not be reminded to suspend the maintenance of the power distribution line.

[0120] The device for predicting and analyzing the operating status of a digital twin of a distribution network, and the method for predicting and analyzing the operating status of a digital twin of a distribution network, are characterized by comprising a first acquisition module, a second acquisition module, an analysis module, an evaluation module, a third acquisition module, a processing module, and an alert module.

[0121] The first acquisition module selects the installation address before the power distribution line is installed and obtains information about lightning strikes at the installation address.

[0122] The second acquisition module analyzes the lightning strike information at the installation address to determine high-risk lightning zones, and then obtains the lightning protection information of the grounding network in the high-risk lightning zones, as well as the fault information of lightning strikes after the installation of power distribution lines at the installation address.

[0123] The analysis module inputs the lightning protection information of the grounding network in high-risk lightning areas and the fault information of the power distribution lines after installation into the digital twin state model for processing and analysis to obtain fault values.

[0124] The evaluation module predicts the operating status of the distribution network based on fault values.

[0125] When the operating status of the power distribution network is poor, the third acquisition module acquires information about the natural environment at the installation location, the status of the power distribution lines, and the working status of the personnel when maintaining the power distribution lines.

[0126] The processing module processes and analyzes the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line to obtain a safety value.

[0127] The reminder module alerts staff based on safety values ​​whether it is necessary to suspend maintenance on the power distribution lines.

[0128] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for predicting and analyzing the operating status of a digital twin of a distribution network, characterized in that, The method includes the following steps: Before installing power distribution lines, select the installation location and obtain information on lightning strikes at the installation location. Analyze the lightning strike information at the installation location to identify high-risk lightning zones, and obtain the lightning protection information of the grounding network in the high-risk lightning zones, as well as the fault information of lightning strikes after the installation of power distribution lines at the installation location. The lightning protection information and installation address of the grounding network in high-risk lightning areas, as well as the fault information of the power distribution line after being struck by lightning, are input into the digital twin state model for processing and analysis to obtain the fault value. Predict the operating status of the distribution network based on fault values; When the power distribution network is not operating well, obtain information on the natural environment at the installation location, the status of the power distribution lines, and the working status of the personnel when maintaining the power distribution lines. The safety value is obtained by processing and analyzing the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line; The safety values ​​will alert staff whether it is necessary to suspend maintenance on the power distribution lines. Information on lightning strikes at the installation location includes the number of lightning strikes and the extent of damage to the building caused by the lightning strikes; The number of lightning strikes is obtained by taking values ​​and marking the information of the number of lightning strikes; The damage level of a building caused by lightning strikes is recorded and labeled to obtain the damage level value (CSL) of the building caused by lightning strikes. Through the first calculation function The damage value LJZ is calculated, where a1 and a2 are influencing factors and are greater than zero; Compare the damage value LJZ with the preset damage threshold LJY: If the damage value LJZ is greater than or equal to the preset damage threshold LJY, then the installation address is identified as a high-risk minefield. If the damage value LJZ is less than the preset damage threshold LJY, then the installation address is identified as a low-risk minefield. The lightning protection information of the grounding network in the high-risk lightning zone includes the number of buildings in the high-risk lightning zone, the height of the tallest building in the high-risk lightning zone, and the resistance value of the grounding network in the high-risk lightning zone. The number of buildings in high-risk minefields is obtained by taking values ​​and marking them. The height information of the tallest building in a high-risk minefield is obtained by taking and marking the height value of the tallest building in the high-risk minefield, GWG. The resistance value of the grounding grid in high-risk lightning areas is obtained by taking and marking the information. The fault information includes fault count information and fault recovery time information; The fault count information is obtained by taking values ​​and marking them to obtain the fault count value GCS; The fault recovery time information is obtained by taking values ​​and marking them to obtain the fault recovery time value GHS; Through the second calculation function The fault value GZZ is calculated, where b1, b2, b3, b4 and b5 are scaling factors and are greater than zero; Compare the fault value GZZ with the preset fault threshold GZY: If the fault value GZZ is greater than or equal to the preset fault threshold GZY, then the distribution network is not in good operating condition. If the fault value GZZ is less than the preset fault threshold GZY, the distribution network is in a better operating condition.

2. The method for predicting and analyzing the operating status of a digital twin of a distribution network according to claim 1, characterized in that, The natural environmental information at the installation site includes rainfall information, haze information, and snow / ice information at the installation site. The status information of the power distribution line includes the duration of the power outage and the length of the damaged power distribution line. The work status information of the staff when repairing the power distribution line includes the continuous working time of the staff when repairing the power distribution line and the height of the staff above the ground when repairing the power distribution line.

3. The method for predicting and analyzing the operating status of a digital twin of a distribution network according to claim 2, characterized in that, The rainwater information at the installation location is collected and marked to obtain the rainwater value YSZ at the installation location; The haze information at the installation address is extracted and marked to obtain the haze value WMZ at the installation address; The ice and snow information at the installation address is retrieved and marked to obtain the ice and snow value BXZ at the installation address; The power outage duration information of the power distribution line is collected and marked to obtain the power outage duration value DDS of the power distribution line; The damaged length information of the power distribution line is taken and marked to obtain the damaged length value PSC of the power distribution line; The working time value GZS is obtained by taking and marking the information of the continuous working time of the staff when repairing the power distribution line; The height value GDZ is obtained by taking and marking the height information of the power distribution line above the ground during maintenance.

4. The method for predicting and analyzing the operating status of a digital twin of a distribution network according to claim 3, characterized in that, Through the third calculation function The safety value AQZ was calculated; where c1, c2, c3, c4, c5, c6, and c7 are influencing factors and are greater than zero; Compare the safety value AQZ with the preset safety threshold AQY: If the safety value AQZ is greater than or equal to the preset safety threshold AQY, then staff should be reminded to suspend maintenance on the power distribution lines. If the safety value AQZ is less than the preset safety threshold AQY, then staff will not be notified to suspend maintenance on the power distribution lines.

5. A device for predicting and analyzing the operating status of a distribution network digital twin, applied to the method for predicting and analyzing the operating status of a distribution network digital twin as described in claim 1, characterized in that, It includes a first acquisition module, a second acquisition module, an analysis module, an evaluation module, a third acquisition module, a processing module, and an alert module; The first acquisition module selects the installation address before the power distribution line is installed and acquires information about lightning strikes at the installation address. The second acquisition module analyzes the lightning strike information at the installation address to determine high-risk lightning zones, and obtains the lightning protection information of the grounding network in the high-risk lightning zones, as well as the fault information of lightning strikes after the installation of power distribution lines at the installation address. The analysis module inputs the lightning protection information of the grounding network in high-risk lightning areas and the fault information of the power distribution line after installation into the digital twin state model for processing and analysis to obtain the fault value. The evaluation module predicts the operating status of the distribution network based on the fault values; When the operating status of the power distribution network is poor, the third acquisition module acquires the natural environment information at the installation address, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line. The processing module processes and analyzes the natural environment information at the installation location, the status information of the power distribution line, and the working status information of the staff when maintaining the power distribution line to obtain a safety value. The reminder module alerts staff based on safety values ​​whether it is necessary to suspend maintenance on the power distribution lines.

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