Cable management method and management system based on electric power GIS platform

Abstract

The invention relates to the technical field of power management, in particular to a cable management method and system based on a power GIS platform, and aims to solve the problem that the current state of a working cable is not matched with a predicted state when a power grid plan is executed in the future. The embodiment of the invention provides a cable management method based on an electric power GIS platform. The cable management method comprises the steps that working cables in a target area are added into a data management library; establishing a current planning map of the working cables in the target area according to the geographic position of each working cable and a GIS geographic map; combining the historical working data with the current working data, and predicting a short-term power supply extreme value of the working cable; correcting the theoretical power supply capability according to the change condition of the short-term power supply extreme value to obtain corrected power supply capability; and obtaining a future power grid plan in the target area, and adjusting the future power grid plan according to the corrected power supply capability.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and in particular to a cable management method and management system based on a power GIS platform. Background Art

[0002] With the continuous development of information construction in recent years, the working data of working cables in various regions can be intuitively reflected. By using maps to express the working data of various regions, the spatial objects on the map can be associated with each other. The relationship between these data can be observed and analyzed spatially, which makes it easier to derive the laws between the data, especially to master the whole process from power grid planning, design to construction. With the continuous development of power informatization construction, it is necessary to plan and design in the cable network system. However, because the planned life of the power grid is long, the loss and working conditions of the working cables are different in different working areas. This leads to the current status of the working cables in the planned execution area not matching the expected status after the execution of the power grid plan. The number of failures of the working cables in the short term increases, and the working cables need to be replaced frequently, which affects the normal development of the planned execution area. Summary of the invention

[0003] The present invention solves the problem that the current state of the working cable does not match the expected state when the future power grid plan is executed.

[0004] To solve the above problems, an embodiment of the present invention provides a cable management method based on an electric power GIS platform. The cable management method based on the electric power GIS platform includes: establishing a data management library, adding the working cables in the target area to the data management library, and obtaining the geographical location of each working cable; establishing a current planning map of the working cables in the target area according to the geographical location and the GIS geographical map, and displaying the current working data of each working cable in the current planning map; obtaining the historical working data of each working cable from the data management library, combining the historical working data with the current working data, and predicting the short-term power supply extreme value of the working cable; predicting the theoretical power supply capacity of the working cable according to the short-term power supply extreme value and the occurrence of extreme weather in the target area; adjusting the distribution energy of each node in the working cable according to the short-term power supply extreme value, and correcting the theoretical power supply capacity according to the change of the short-term power supply extreme value to obtain the corrected power supply capacity; obtaining the future power grid plan in the target area, and adjusting the future power grid plan according to the corrected power supply capacity.

[0005] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the setting of the data management library allows the working data of each working cable to be directly retrieved, the addition of the geographical location allows each working cable to be displayed on the GIS map, which can more intuitively reflect the overall framework of the working cable, the prediction of the short-term power supply maximum value can judge the loss situation under the current working conditions based on the historical working conditions of the working cable, and provides indicators for adjusting the short-term working mode of the working cable, the prediction of the theoretical power supply capacity can more accurately obtain the impact of the working cable on the loss rate under the current working state, the correction of the power supply capacity setting can reduce the maximum load of the working cable when dealing with extreme weather, and reduce the loss rate of the working cable, the acquisition of load analysis results allows the new power supply units in the future power grid plan to add new cables and preset line connection plans based on the actual loss situation of the current working cables, so that the subsequent construction and development in the target area will be smoother.

[0006] In one embodiment of the present invention, historical working data of each working cable is obtained, and the short-term power supply extreme value of the working cable is predicted based on the historical working data and the current working data, specifically including: dividing the historical working data into multiple historical periods, obtaining the average power supply of each working cable in each historical period, and recording it as the historical average; obtaining the average power supply of the working cable in the current period, and recording it as the current average, and calculating the average difference based on the current average and the historical average; predicting the short-term power supply extreme value of the working cable based on the average difference and the cable loss value in each historical period.

[0007] Compared with the existing technology, the technical effect achieved by adopting this technical solution is: the acquisition of historical average makes the prediction of short-term power supply pole value more consistent with the working condition of the working cable itself, improves the accuracy of short-term power supply pole value prediction, and avoids the loss value rising too fast by setting the short-term power supply pole value, thereby further improving the service life of the cable.

[0008] In one embodiment of the present invention, the short-term power supply extreme value of the working cable is predicted based on the average quantity difference and the cable loss value in each historical period, specifically including: recording the historical period corresponding to the current period as the reference period, and obtaining the reference power supply of the reference period; predicting the subsequent power supply of the current period based on the reference power supply, and calculating the influence coefficient of the cable loss value based on the subsequent power supply and the average quantity difference; calculating the short-term power supply extreme value of the working cable under the subsequent power supply based on the influence coefficient, comparing the short-term power supply extreme value with the subsequent power supply, and judging whether the power supply situation of the working cable in the current period needs to be controlled.

[0009] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: referring to the acquisition of power supply, combining the working conditions of the working cable in the current cycle with the working conditions in the historical cycle, fully considering the fluctuation of power consumption caused by time, and setting the influence coefficient to make the prediction of short-term power supply extreme value more accurate, ensuring that the working cable can work normally in the current cycle.

[0010] In one embodiment of the present invention, the theoretical power supply capacity of the working cable is predicted based on the short-term power supply extreme value and the occurrence of extreme weather in the target area, specifically including: dividing the target area into multiple management areas, and calculating the average loss rate of the working cable in each management area; obtaining the first number of extreme weather occurrences in the target area and the second number of times each management area is affected by extreme weather; converting the average loss rate based on the first number and the second number to obtain the expected loss rate, and predicting the theoretical power supply capacity of the working cable based on the expected loss rate.

[0011] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the calculation of the average loss rate can obtain the loss of the working cable due to the working environment of the working cable. The acquisition of the first number and the second number fully considers the impact of each extreme weather on the specific working cable, making the prediction of the theoretical power supply capacity more accurate.

[0012] In one embodiment of the present invention, the average loss rate is converted according to the first number and the second number to obtain the expected loss rate, and the theoretical power supply capacity of the working cable is predicted according to the expected loss rate, specifically including: when the first number is equal to the second number, calculating the first loss coefficient according to the first number, when the first number is less than the second number, calculating the second loss coefficient according to the first number and the second number; converting the average loss rate according to the first loss coefficient or the second loss coefficient to obtain the expected loss rate; calculating the node level value of the working cable as the power supply node at each level according to the expected loss rate, and determining the theoretical power supply capacity according to the node level value.

[0013] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the first loss coefficient and the second loss coefficient are set according to the different degrees of impact of extreme weather on each management area, so that the estimated loss rate is more in line with the actual loss situation of the working cable, and the setting of the node level value can accurately judge the working loss situation of each node of the working cable, predict the time when the working cable needs to be replaced and the length of time the working cable can maintain high-quality work, thereby improving the accuracy of the theoretical power supply capacity.

[0014] In one embodiment of the present invention, the power distribution energy of each node in the working cable is adjusted according to the short-term power supply threshold, and the theoretical power supply capacity is corrected according to the change of the short-term power supply threshold to obtain the corrected power supply capacity, which specifically includes: recording the working cable whose short-term power supply threshold is less than the subsequent power supply as the cable to be allocated, and recording the power supply unit of the cable to be allocated as the unit to be allocated; obtaining the available power nodes of the unit to be allocated, and the allocatable power corresponding to each available power node, adjusting the short-term power supply threshold according to the allocatable power, and obtaining the adjusted power supply threshold; adjusting the expected loss rate of the current cycle according to the adjusted power supply threshold to obtain the adjusted loss rate; correcting the node level value according to the adjusted loss rate, and calculating the corrected power supply capacity according to the corrected node level value.

[0015] Compared with the existing technology, the technical effects achieved by adopting this technical solution are: screening of cables to be deployed, accurate acquisition of working cables with power supply pressure, acquisition of distributable power, ensuring that each cable to be deployed can reduce its own power supply pressure, improving the stability of power supply work, and adjusting the calculation of loss rate, so that the working state of each cable to be deployed in extreme weather is more in line with the situation it has experienced, making the calculated corrected power supply capacity more accurate.

[0016] In one embodiment of the present invention, a future power grid plan in a target area is obtained, and the future power grid plan is adjusted according to the revised power supply capacity, specifically including: calculating the theoretical power supply demand corresponding to each simulated path according to the future power grid plan; marking the simulated paths according to the theoretical power supply demand and the revised power supply capacity, and recording the simulated paths whose revised power supply capacity is less than or equal to the theoretical power supply demand as paths to be managed; analyzing the load operation data on the simulated paths according to the revised power supply capacity to obtain load analysis results, and adjusting the future power grid plan according to the load analysis results.

[0017] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by simulating the path and theoretical power supply demand, the power supply that the working cable needs to bear in the future can be accurately obtained; through the analysis of load operation data, when the working status of the working cable is not sufficient to support the future power grid plan, the future power grid plan can be adjusted in time.

[0018] In one embodiment of the present invention, the load operation data on the simulated path is analyzed according to the corrected power supply capacity to obtain the load analysis results, and the future power grid plan is adjusted according to the load analysis results, specifically including: calculating the power supply difference between the corrected power supply capacity and the theoretical power supply demand; when the power supply difference is greater than or equal to the adjustment threshold, marking the path to be managed as a path to be replaced; when the power supply difference is less than the adjustment threshold, calculating the safe operation time of the path to be managed according to the adjusted loss rate.

[0019] Compared with the existing technology, the technical effects achieved by adopting this technical solution are as follows: the calculation of the power supply difference intuitively reflects the difference between the expected working state and the actual working state of the working cable, the adjustment of the threshold setting determines the handling method of the managed path when dealing with different working state fluctuations, the calculation of the safe operation time clarifies the time when the working cable can work normally, and provides time for the update of the working cable of the managed path, avoiding failure of the managed path after the work starts.

[0020] In one embodiment of the present invention, a cable management system is also provided, in which the cable management method based on the electric power GIS platform recorded in the above embodiment is applied to the cable management system, and the cable management system includes: a storage module, in which the data management library is arranged; a map module, in which the map module is used to determine the geographical location of each working cable in the target area; a prediction module, in which the prediction module is used to predict the short-term power supply maximum value and theoretical power supply capacity; a planning module, in which the planning module is used to plan future power grid plans. The cable management system has all the technical features of the above-mentioned cable management method based on the electric power GIS platform, which will not be repeated here one by one. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is one of the flow charts of the cable management method based on the power GIS platform; Figure 2 This is the second flow chart of the cable management method based on the power GIS platform; Figure 3 This is the third flow chart of the cable management method based on the power GIS platform; Figure 4 This is the fourth flow chart of the cable management method based on the power GIS platform; Figure 5 This is the fifth flow chart of the cable management method based on the power GIS platform; Figure 6 This is a system diagram of the cable management system based on the power GIS platform; Description of reference numerals: 100 - cable management system; 110 - storage module; 120 - map module; 130 - prediction module; 140 - planning module. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0023] [First embodiment] See also Figure 1In a specific embodiment, the present invention provides a cable management method based on an electric power GIS platform, and the cable management method based on an electric power GIS platform includes: S100, establishing a data management library, adding the working cables in the target area to the data management library, and obtaining the geographical location of each working cable; S200, establishing a current planning map of working cables in the target area according to the geographical location and the GIS geographical map, and displaying the current working data of each working cable in the current planning map; S300, obtaining historical working data of each working cable from a data management library, combining the historical working data with current working data, and predicting a short-term power supply voltage value of the working cable; S400, predicting the theoretical power supply capacity of the working cable according to the short-term power supply extreme value and the occurrence of extreme weather in the target area; S500, adjusting the power distribution energy of each node in the working cable according to the short-term power supply extreme value, and correcting the theoretical power supply capacity according to the change of the short-term power supply extreme value to obtain the corrected power supply capacity; S600: Obtain a future power grid plan in the target area, and adjust the future power grid plan according to the revised power supply capacity.

[0024] In step S100, the scope of the target area is usually a city, but it can also be a town or a village. Through GIS positioning, the specific locations of the installed working cables are marked on the map. For newly installed working cables, they must also be positioned during installation. At the same time, the current working status and historical working status of each working cable will be marked in detail on the map. The current working status includes parameters such as the loss rate, working voltage and continuous working time of the working cable. The historical working status includes data such as the average voltage, maximum voltage and minimum voltage of the working cable in each detection cycle.

[0025] In step S200, the current planning diagram refers to the power supply relationship between the working cables in the target area and the power supply object corresponding to each working cable, and the current working data refers to the working voltage corresponding to each working cable and the voltage fluctuation within a cycle.

[0026] In step S300, the daily working data of the working cable will be stored in the data management library. The historical working data includes the specific situation of the daily working data after the working cable is installed. By comparing the current working data with the historical working data, the historical working data usually selects the same date as the current date but a different year as the comparison. In this way, the difference between the working condition of the working cable in the current state and the historical working condition can be obtained. Based on this difference, the maximum voltage that the working cable can withstand in the current state, that is, the short-term power supply voltage value, is predicted.

[0027] In step S400, different weather conditions will affect the short-term power supply voltage. When facing extreme weather, the working voltage of the working cable will often change. When facing different types of extreme weather, the voltage change is also different.

[0028] It is understandable that the same working voltage will cause different loss rates to the working cable under different weather conditions. Therefore, it is necessary to predict the power supply voltage that meets the working cable's own state based on different weather conditions and short-term power supply extreme values, and calculate the working time of the working cable under different weather conditions, that is, the theoretical power supply capacity.

[0029] In step S500, when the short-term power supply value is too large, it means that the working cable is in a high-load operation state. The loss rate of the working cable in the high-load operation state will increase significantly. Find the nodes with higher operating loads and share the power supply required by these nodes through multiple working cables. After adjustment, the predicted short-term power supply value will also change. The power supply adjustment method is matched with the occurrence of extreme weather to obtain the corresponding working time of each working cable under various extreme weather conditions, that is, the corrected power supply capacity.

[0030] In step S600, the future power grid plan refers to the construction plan for new power users in the target area. The construction process of the new power users and the subsequent power consumption plans of the new power users will involve the use of working cables and the addition of new working cables. The new power users simulated based on the loss of the current working cables theoretically require new working cables and the original working cables to be used, and the simulated paths are displayed on the GIS map based on these working cables. At this time, it is necessary to analyze the load operation data of each working cable according to the future power grid plan, and determine whether the working cables supplying power to the new power users need to be replaced based on the data analysis results.

[0031] The setting of the data management library allows the working data of each working cable to be directly retrieved. The addition of geographic location allows each working cable to be displayed on the GIS map, which can more intuitively reflect the overall framework of the working cable. The prediction of short-term power supply maximum value can judge the loss situation under the current working conditions based on the historical working conditions of the working cable, and provides indicators for adjusting the short-term working mode of the working cable. The prediction of theoretical power supply capacity can more accurately obtain the impact of the working cable on the loss rate under the current working state. Correcting the power supply capacity setting can reduce the maximum load of the working cable when dealing with extreme weather and reduce the loss rate of the working cable. The acquisition of load analysis results will enable new power supply units in future power grid plans to add new cables and preset line connection plans based on the actual loss situation of the current working cables, making subsequent construction and development in the target area smoother.

[0032] [Second embodiment] See also Figure 2 In a specific embodiment, the historical working data of each working cable is obtained, and the short-term power supply voltage of the working cable is predicted based on the historical working data and the current working data, specifically including: S310, dividing the historical working data into multiple historical periods, obtaining the average power supply of each working cable in each historical period, and recording it as the historical average; S320, obtaining the average power supply of the working cable in the current cycle, recording it as the current average, and calculating the average difference according to the current average and the historical average; S330, predicting the short-term power supply voltage value of the working cable according to the average quantity difference and the cable loss value in each historical period.

[0033] In step S310, the historical period is usually divided according to months, and each natural year is divided into twelve historical periods. After the end of each natural month, the average power supply of each working cable is added to the data management library.

[0034] In step S320, the current average is calculated up to the current date. For example, if the current date is December 9, then when calculating the current average, it is necessary to calculate the average power supply from December 1 to December 8, and then subtract the current average from the historical average to obtain the average difference.

[0035] In step S330, the cable loss value can be measured by an instrument. Usually, after each detection cycle, the cable loss value of each working cable is obtained by manual measurement, and the cable loss value of each historical cycle is compared with the historical average to obtain the electrical threshold for the accelerated change of the cable loss value. The short-term power supply limit is predicted based on the electrical threshold to obtain the maximum power supply value that the working cable can use to ensure normal operation, that is, the short-term power supply limit.

[0036] The acquisition of historical averages makes the prediction of short-term power supply pole values ​​more consistent with the working conditions of the working cable itself, and improves the accuracy of short-term power supply pole value prediction. By setting short-term power supply pole values, it can avoid the loss value rising too fast and further improve the service life of the cable.

[0037] [Third embodiment] See also Figure 2 In a specific embodiment, the short-term power supply voltage of the working cable is predicted based on the average power difference and the cable loss value in each historical period, specifically including: S331, recording the historical cycle corresponding to the current cycle as a reference cycle, and obtaining a reference power supply amount of the reference cycle; S332, predicting the subsequent power supply of the current cycle according to the reference power supply, and calculating the influence coefficient of the cable loss value according to the difference between the subsequent power supply and the average power supply; S333. Calculate the short-term power supply extreme value of the working cable under the subsequent power supply according to the influence coefficient, compare the short-term power supply extreme value with the subsequent power supply, and determine whether the power supply situation of the working cable in the current cycle needs to be controlled.

[0038] In step S331, the reference cycle refers to the historical cycle with the same month as the current cycle, and the reference power supply refers to the average daily power supply of the working cable during the reference cycle. For example, if the current cycle is December 2024, then the corresponding reference cycle can be December 2023 and December 2022.

[0039] In step S332, when the duration of the current cycle is greater than the target number of days, the reference days corresponding to the duration are obtained from the reference cycle, and the daily average power supply of the reference days and the duration is calculated, the daily average power supply of the duration is recorded as the first power supply, and the daily average power supply of the reference days is recorded as the second power supply, and the first fluctuation coefficient of the current cycle is obtained based on the first power supply and the second power supply. The target number of days is usually 5 days. When the duration is less than five days, the first fluctuation coefficient is directly calculated according to the reference power supply.

[0040] For example, the current date is December 10, the target number of days is 9, and the first power supply is 1200kwh. When obtaining the second power supply, it is necessary to select the daily power supply data from December 1 to December 9 of each year. After obtaining the second power supply, the first fluctuation coefficient is calculated according to the difference between the first power supply and the second power supply. The first fluctuation coefficient is recorded as K. 1 , the first power supply is V 1 , the second power supply is V 2 , the first volatility coefficient is calculated as follows: When (V 1 -V2 )÷V 2 When ≤0, K 1 =1; When 0<(V 1 -V 2 )÷V 2 When ≤0.15, K 1 =1.05; When (V 1 -V 2 )÷V 2 When >0.15, K 1 =1.1.

[0041] When predicting the subsequent power supply within the current cycle, it is necessary to further consider the remaining days of the current cycle. Generally, the more days remaining, the greater the fluctuation of the subsequent power supply. The mean difference is combined with the first fluctuation coefficient to obtain the maximum fluctuation of the current cycle and the influence coefficient corresponding to the current cycle.

[0042] In step S333, the short-term power supply extreme value is the maximum power supply voltage corresponding to the working cable to maintain normal operation. The maximum power supply voltage that the working cable may encounter in the remaining days is predicted based on the subsequent power supply amount and the influence coefficient. The maximum power supply voltage is compared with the subsequent power supply amount. When the maximum power supply voltage is greater than the short-term power supply extreme value, the working cable needs to be controlled. When the maximum power supply voltage is less than the short-term power supply extreme value, the working cable does not need to be controlled.

[0043] With reference to the acquisition of power supply, the working conditions of the working cable in the current cycle are combined with the working conditions in the historical cycle, and the fluctuation of power consumption caused by time is fully considered. The setting of the influence coefficient makes the prediction of the short-term power supply maximum value more accurate, ensuring that the working cable can work normally in the current cycle.

[0044] [Fourth embodiment] See also Figure 3 In a specific embodiment, the theoretical power supply capacity of the working cable is predicted according to the short-term power supply extreme value and the occurrence of extreme weather in the target area, specifically including: S410, dividing the target area into multiple management areas, and calculating the average loss rate of the working cables in each management area; S420, obtaining the first number of times extreme weather occurs in the target area and the second number of times each management area is affected by extreme weather; S430. Convert the average loss rate according to the first number and the second number to obtain an estimated loss rate, and predict the theoretical power supply capacity of the working cable according to the estimated loss rate.

[0045] In step S410, the target area is usually a city, and the management areas are usually each town or each village in the city. After each cycle, the loss value of each working cable in the target area is obtained by manual measurement, and the average loss rate is calculated based on the loss values of two adjacent cycles.

[0046] In step S420, the extreme weather occurring in the target area does not necessarily cover each management area. Therefore, the second number will be less than or equal to the first number.

[0047] In step S430, when extreme weather occurs, the working cables in each management area are not affected in exactly the same way. Therefore, the difference between the second number and the first number can better reflect the impact of extreme weather on the working cables in the management area.

[0048] The calculation of the average loss rate can obtain the loss situation of the working environment of the working cable on the cable. The acquisition of the first number and the second number fully considers the impact degree of each extreme weather on a specific working cable, making the prediction of the theoretical power supply capacity more accurate.

[0049]

Fifth Embodiment

[0050] In step S431, when the first number is equal to the second number, it indicates that each extreme weather in the target area has affected the working cable. Therefore, only the first number or the second number needs to be considered to calculate the first loss coefficient. When the first number is less than the second number, it indicates that there are some extreme weather events in the target area that have less impact on the working cable. Therefore, when calculating the second loss coefficient, the first number and the second number should be combined.

[0051] In step S432, denote the first number as T 1 , the second number as T 2 , and the average loss rate as S 0, the expected loss rate is S 1 , the first loss coefficient is M 1 , the second loss coefficient is M 2 , the first number, the second number, the average loss rate and the expected loss rate satisfy the following relationship: When T 1 =T 2 When M 1 =2, that is, S 1 =2S 0 ; When 0.5T 1 <T 2 <T 1 When M 2 =1, that is, S 1 =S 0 ; When 0<T 2 ≤0.5T 1 When M 2 =0.8, S 1 =0.8S 0 .

[0052] In step S433, for the newly installed working cable, the corresponding loss rate is 0, and the loss rate will gradually increase with use. The loss rate of the cable can be measured by an instrument, and the specific loss values ​​of the cable nodes at all levels in the future time period can be calculated by predicting the loss rate. The lower the loss value, the longer the node can work stably, and the higher the corresponding node level value. The specific loss value of each node is used to determine the continuous working time of the working cable in extreme weather, that is, the theoretical power supply capacity.

[0053] The first loss coefficient and the second loss coefficient are set according to the different degrees of impact of extreme weather on each management area, so that the estimated loss rate is more in line with the actual loss of the working cable. The setting of the node level value can accurately determine the working loss of each node of the working cable, predict the time when the working cable needs to be replaced and the length of time the working cable can maintain high-quality work, thereby improving the accuracy of the theoretical power supply capacity.

[0054] [Sixth embodiment] See also Figure 4 In a specific embodiment, the power distribution energy of each node in the working cable is adjusted according to the short-term power supply extreme value, and the theoretical power supply capacity is corrected according to the change of the short-term power supply extreme value to obtain the corrected power supply capacity, which specifically includes: S510, recording the working cable whose short-term power supply value is less than the subsequent power supply as the cable to be deployed, and recording the power supply unit of the cable to be deployed as the unit to be deployed; S520, obtaining the available power nodes of the unit to be deployed and the allocable power corresponding to each available power node, adjusting the short-term power supply threshold according to the allocable power, and obtaining the adjusted power supply threshold; S530, adjusting the estimated loss rate of the current cycle according to the adjusted power supply electrode value to obtain an adjusted loss rate; S540. Correct the node level value according to the adjusted loss rate, and calculate the corrected power supply capacity according to the corrected node level value.

[0055] In steps S510 to S540, when the short-term power supply threshold is less than the subsequent power supply, it means that the cable to be deployed may not be able to withstand the subsequent power supply task. In order to maintain the stability of power supply, it is necessary to supplement the power supply of the cable to be deployed through other nodes. The power supply after adjustment is the adjusted power supply threshold. When the power supply capacity of the cable to be deployed is converted, the working state of the cable to be deployed is also converted from load working to normal working state, and the corresponding loss rate will also be reduced. At this time, it is necessary to adjust the expected loss rate according to the deployment method to obtain the adjusted loss rate. The time that the cable to be deployed can work in extreme weather is calculated by adjusting the loss rate to obtain the corrected power supply capacity.

[0056] It should be noted that the installation of the cable to be adjusted has different node level values ​​depending on the location. The higher the node level value, the greater the impact when the cable to be adjusted is damaged. The lower the node level value, the smaller the impact when the cable to be adjusted is damaged. Depending on the node level value, the numerical requirements for correcting the power supply capacity are also different.

[0057] The screening of cables to be deployed accurately obtains the working cables with power supply pressure and the acquisition of distributable power, ensuring that each cable to be deployed can reduce its own power supply pressure, improve the stability of power supply work, and adjust the calculation of loss rate, so that the working state of each cable to be deployed in extreme weather is more in line with the situation it has experienced, making the calculated corrected power supply capacity more accurate.

[0058] [Seventh embodiment] See also Figure 5 In a specific embodiment, obtaining a future power grid plan in a target area and adjusting the future power grid plan according to the revised power supply capacity specifically include: S610, calculating the theoretical power supply demand corresponding to each simulation path according to the future power grid plan; S620, marking the simulated paths according to the theoretical power supply demand and the corrected power supply capacity, and marking the simulated paths whose corrected power supply capacity is less than or equal to the theoretical power supply demand as paths to be managed; S630: Analyze the load operation data on the simulated path according to the corrected power supply capacity to obtain a load analysis result, and adjust the future power grid plan according to the load analysis result.

[0059] In step S610 to step S630, as the site is developed and renovated, the target and amount of power supplied by the working cable will change. In future power grid plans, it is possible to clearly obtain renovation plans for some areas, and obtain the simulated path after the renovation is completed based on the renovation plan, as well as the theoretical power supply demand corresponding to the simulated path.

[0060] When the corrected power supply capacity does not meet the theoretical power supply demand, it means that the working cable has been damaged when the transformation is completed, or it cannot bear the power consumption of the simulated path. In order to ensure that the transformation work can proceed smoothly, it is necessary to analyze the load operation data on the simulated path and respond to changes in the working status of the working cable in advance.

[0061] By simulating the path and theoretical power supply demand, we can accurately obtain the power supply that the working cable will need to bear in the future. Through the analysis of load operation data, when the working status of the working cable is not sufficient to support the future power grid plan, the future power grid plan can be adjusted in time.

[0062] [Eighth embodiment] See also Figure 5 In a specific embodiment, the load operation data on the simulated path is analyzed according to the corrected power supply capacity to obtain a load analysis result, and the future power grid plan is adjusted according to the load analysis result, specifically including: S631, calculating the power supply difference between the corrected power supply capacity and the theoretical power supply demand; S632: When the power supply difference is greater than or equal to the adjustment threshold, mark the path to be managed as a path to be replaced; S633: When the power supply difference is less than the adjustment threshold, calculate the safe operation time of the path to be managed according to the adjustment loss rate.

[0063] In steps S631 to S633, when the power supply difference is greater than or equal to the adjustment threshold, it means that the managed path cannot be powered by the originally planned power supply method. At this time, the working cable of the managed path needs to be replaced to avoid the problem of insufficient power supply after the transformation is completed. When the power supply difference is less than the adjustment threshold, it means that the managed path can be powered by the originally planned power supply method, but because the working state of the working cable deviates from the expected state, the managed path cannot maintain long-term stable operation. The safe operating time of the managed path is calculated based on the adjusted loss rate, and within the safe operating time, the update method of the working cable is determined to ensure that the managed path can operate stably.

[0064] It should be noted that when the revised power supply capacity does not meet the needs of the new power supply unit, the simulation path needs to be changed. The change can be made by replacing the original working cable or changing the node that provides power to the new power user.

[0065] The calculation of the power supply difference intuitively reflects the difference between the expected working state and the actual working state of the working cable. Adjusting the threshold setting determines how the managed path handles different working state fluctuations. The calculation of the safe operation time clarifies the time when the working cable can work normally, providing time for the update of the working cable of the managed path, thus avoiding failure of the managed path after the work starts.

[0066] [Ninth embodiment] See also Figure 6 In a specific embodiment, the present application also provides a cable management system 100, in which the cable management method based on the electric power GIS platform described in the above embodiment is applied to the cable management system 100, and the cable management system 100 includes: a storage module 110, in which a data management library is arranged; a map module 120, in which the map module 120 is used to determine the geographical location of each working cable in the target area; a prediction module 130, in which the prediction module 130 is used to predict the short-term power supply maximum and theoretical power supply capacity; a planning module 140, in which the planning module 140 is used to plan future power grid plans. The cable management system has all the technical features of the above-mentioned cable management method based on the electric power GIS platform, which will not be described one by one here.

[0067] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A cable management method based on electric power GIS platform, characterized in that: The cable management method based on the electric power GIS platform includes: Establishing a data management library, adding the working cables in the target area to the data management library, and obtaining the geographical location of each working cable; Establishing a current planning map of the working cables in the target area according to the geographical location and the GIS geographical map, and displaying the current working data of each working cable in the current planning map; Acquire historical working data of each working cable, and predict the short-term power supply voltage of the working cable according to the historical working data and the current working data; Predicting the theoretical power supply capacity of the working cable according to the short-term power supply extreme value and the occurrence of extreme weather in the target area; The power distribution energy of each node in the working cable is adjusted according to the short-term power supply extreme value, and the theoretical power supply capacity is corrected according to the change of the short-term power supply extreme value to obtain the corrected power supply capacity; A future power grid plan in the target area is obtained, and the future power grid plan is adjusted according to the revised power supply capacity.

2. The cable management method based on the electric power GIS platform according to claim 1 is characterized in that: The acquiring of the historical working data of each working cable and predicting the short-term power supply voltage of the working cable according to the historical working data and the current working data specifically includes: Divide the historical working data into a plurality of historical periods, obtain the average power supply of each working cable in each of the historical periods, and record it as the historical average; The average power supply of the working cable in the current period is obtained, recorded as the current average power supply, and the average power difference is calculated according to the current average power supply and the historical average power supply; The short-term power supply voltage of the working cable is predicted according to the average quantity difference and the cable loss value in each of the historical periods.

3. The cable management method based on the electric power GIS platform according to claim 2 is characterized in that: The predicting the short-term power supply voltage of the working cable according to the average quantity difference and the cable loss value in each of the historical periods specifically includes: Recording the historical cycle corresponding to the current cycle as a reference cycle, and obtaining a reference power supply amount of the reference cycle; Predicting the subsequent power supply of the current cycle according to the reference power supply, and calculating the influence coefficient of the cable loss value according to the subsequent power supply and the average power difference; Calculate the short-term power supply limit of the working cable under the subsequent power supply according to the influence coefficient; The short-term power supply extreme value is compared with the subsequent power supply to determine whether the power supply situation of the working cable in the current cycle needs to be controlled.

4. The cable management method based on the electric power GIS platform according to claim 3 is characterized in that: The predicting of the theoretical power supply capacity of the working cable according to the short-term power supply extreme value and the occurrence of extreme weather in the target area specifically includes: Divide the target area into a plurality of management areas, and calculate the average loss rate of the working cable in each management area; Acquire a first number of times extreme weather occurs in the target area and a second number of times each of the management areas is affected by the extreme weather; The average loss rate is converted according to the first number and the second number to obtain an expected loss rate, and the theoretical power supply capacity of the working cable is predicted according to the expected loss rate.

5. The cable management method based on the electric power GIS platform according to claim 4 is characterized in that: The converting the average loss rate according to the first number of times and the second number of times to obtain an estimated loss rate, and predicting the theoretical power supply capacity of the working cable according to the estimated loss rate specifically includes: When the first number is equal to the second number, calculating a first loss coefficient according to the first number; When the first number is less than the second number, calculating a second loss coefficient according to the first number and the second number; Convert the average loss rate according to the first loss coefficient or the second loss coefficient to obtain the expected loss rate; The node level value of the working cable as a power supply node at each level is calculated according to the expected loss rate, and the theoretical power supply capacity is determined according to the node level value.

6. The cable management method based on the electric power GIS platform according to claim 5 is characterized in that: The step of adjusting the power distribution energy of each node in the working cable according to the short-term power supply extreme value and correcting the theoretical power supply capacity according to the change of the short-term power supply extreme value to obtain the corrected power supply capacity specifically includes: The working cable whose short-term power supply value is less than the subsequent power supply is recorded as a cable to be deployed, and the power supply unit of the cable to be deployed is recorded as a unit to be deployed; Obtain the available power nodes of the unit to be deployed, and the allocatable power corresponding to each of the available power nodes, and adjust the short-term power supply threshold according to the allocatable power to obtain the adjusted power supply threshold; Adjusting the estimated loss rate of the current cycle according to the adjusted power supply voltage value to obtain an adjusted loss rate; The node level value is corrected according to the adjusted loss rate, and the corrected power supply capacity is calculated according to the corrected node level value.

7. The cable management method based on the electric power GIS platform according to claim 6 is characterized in that: The obtaining of a future power grid plan in the target area and adjusting the future power grid plan according to the corrected power supply capacity specifically includes: Calculating the theoretical power supply demand corresponding to each simulated path according to the future power grid plan; The simulation paths are marked according to the theoretical power supply demand and the modified power supply capacity, and the simulation paths whose modified power supply capacity is less than or equal to the theoretical power supply demand are marked as paths to be managed; The load operation data on the simulated path is analyzed according to the corrected power supply capacity to obtain a load analysis result, and the future power grid plan is adjusted according to the load analysis result.

8. The cable management method based on the electric power GIS platform according to claim 7 is characterized in that: Analyzing the load operation data on the simulated path according to the corrected power supply capacity to obtain a load analysis result, and adjusting the future power grid plan according to the load analysis result, specifically including: Calculating the power supply difference between the corrected power supply capacity and the theoretical power supply demand; When the power supply difference is greater than or equal to an adjustment threshold, marking the path to be managed as a path to be replaced; When the power supply difference is less than the adjustment threshold, the safe operation time of the path to be managed is calculated according to the adjusted loss rate.

9. A cable management system based on a power GIS platform, characterized in that: The cable management method according to any one of claims 1 to 8 is applied to the cable management system, and the cable management system comprises: A storage module, wherein the data management library is arranged in the storage module; A map module, the map module is used to determine the geographical location of each of the working cables in the target area; A prediction module, the prediction module is used to predict the short-term power supply value and the theoretical power supply capacity; A planning module is used to plan the future power grid plan.

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