A cable management method and management system based on electric power GIS platform

Abstract

The present invention relates to the field of power management technology, and in particular to a cable management method and management system based on an electric power GIS platform. The present invention solves the problem that the current state of a working cable does not match the expected state when a future power grid plan is executed. To solve the above problem, an embodiment of the present invention provides a cable management method based on an electric power GIS platform, comprising: adding working cables in a target area to a data management library; establishing a current planning map of the working cables in the target area based on the geographical location of each working cable and a GIS geographical map; combining historical working data with current working data to predict short-term power supply values ​​of the working cables; correcting a theoretical power supply capacity according to changes in the short-term power supply values ​​to obtain a corrected power supply capacity; obtaining a future power grid plan in the target area, and adjusting the future power grid plan based on the corrected power supply capacity.

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 map representation, the working data of various regions are associated with spatial objects on the map. The relationship between these data can be observed and analyzed spatially, making it easier to derive the laws between the data, especially to master the entire process from 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 grid plan has a long life, 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 grid plan is completed. The number of failures of the working cables increases in the short term, and the working cables need to be replaced frequently, affecting 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 maximum value of the working cable; predicting the theoretical power supply capacity of the working cable according to the short-term power supply maximum 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 maximum value, and correcting the theoretical power supply capacity according to the change of the short-term power supply maximum 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: the setting of the data management library allows the working data of each working cable to be directly retrieved, the addition of 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 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, the correction of the power supply capacity setting can reduce the maximum load of the working cable when responding to extreme weather, and reduce the loss rate of the working cable, the acquisition of load analysis results, so that new power supply units in future power grid plans can 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.

[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; and 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 extreme value more consistent with the working conditions of the working cable itself, improves the accuracy of short-term power supply extreme value prediction, and by setting the short-term power supply extreme value to understand, avoid the loss value rising too fast, and further improve 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 a 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, and comparing the short-term power supply extreme value with the subsequent power supply to determine 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: 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 fluctuations in power consumption caused by time, and setting the influence coefficient to make the prediction of short-term power supply extreme values ​​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 according to 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: the calculation of the average loss rate can obtain the loss situation of the working cable due to the working environment of the working cable. The acquisition of the first and second numbers 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, and 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: 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 expected loss rate is more in line with the actual loss situation of the working cable. 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, and improve 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 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: recording the working cable whose short-term power supply extreme value 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 power-obtainable nodes of the unit to be allocated, and the allocable power corresponding to each power-obtainable node, adjusting the short-term power supply extreme value according to the allocable power, to obtain the adjusted power supply extreme value; adjusting the expected loss rate of the current cycle according to the adjusted power supply extreme value 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, adjusting the calculation of loss rate, so that the working status of each cable to be deployed in extreme weather is more in line with the situation it has experienced, and 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: by simulating the path and theoretical power supply demand, the power supply amount 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: 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 responding to 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. The cable management method based on the electric power GIS platform described in the above embodiment is applied to the cable management system. The cable management system includes: a storage module, in which a data management library is located; a map module, which is used to determine the geographical location of each working cable in the target area; a prediction module, which is used to predict the short-term power supply maximum value and theoretical power supply capacity; and a planning module, which 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. 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;

[0022] Figure 2 This is the second flow chart of the cable management method based on the power GIS platform;

[0023] Figure 3 This is the third flow chart of the cable management method based on the power GIS platform;

[0024] Figure 4 This is the fourth flow chart of the cable management method based on the power GIS platform;

[0025] Figure 5 This is the fifth flow chart of the cable management method based on the power GIS platform;

[0026] Figure 6 This is a system diagram of the cable management system based on the power GIS platform;

[0027] Description of reference numerals:

[0028] 100 - cable management system; 110 - storage module; 120 - map module; 130 - prediction module; 140 - planning module. DETAILED DESCRIPTION

[0029] 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.

[0030] [First embodiment]

[0031] See also Figure 1 In a specific embodiment, the present invention provides a cable management method based on a power GIS platform. The cable management method based on the power GIS platform includes:

[0032] S100, establishing a data management database, adding the working cables in the target area to the data management database, and obtaining the geographical location of each working cable;

[0033] S200, establishing a current planning map of working cables in the target area based on the geographical location and the GIS geographical map, and displaying the current working data of each working cable in the current planning map;

[0034] S300, obtaining historical working data of each working cable from a data management database, combining the historical working data with current working data, and predicting a short-term power supply voltage value of the working cable;

[0035] S400: Predicting the theoretical power supply capacity of the working cable based on the short-term power supply extreme value and the occurrence of extreme weather in the target area;

[0036] 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 a corrected power supply capacity;

[0037] 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.

[0038] 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 location of the installed working cables is 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.

[0039] 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. The current working data refers to the working voltage corresponding to each working cable and the voltage fluctuation within the cycle.

[0040] 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.

[0041] 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.

[0042] 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 values, and calculate the working time of the working cable under different weather conditions, that is, the theoretical power supply capacity.

[0043] 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.

[0044] 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 user and the subsequent power consumption plan of the new power user will involve the use of working cables and the addition of new working cables. The new power user simulated based on the loss of the current working cables theoretically requires new working cables and the original working cables to be used, and the simulated path is 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 cable supplying power to the new power user needs to be replaced based on the data analysis results.

[0045] 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 responding to 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 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.

[0046] [Second embodiment]

[0047] 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:

[0048] 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;

[0049] S320: Obtain the average power supply of the working cable in the current cycle, record it as the current average power supply, and calculate the average power difference based on the current average power supply and the historical average power supply;

[0050] S330. Predict the short-term power supply voltage of the working cable based on the average power difference and the cable loss values ​​in each historical period.

[0051] 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.

[0052] 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, the average power supply from December 1 to December 8 needs to be calculated, and then the current average is subtracted from the historical average to obtain the average difference.

[0053] 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 power threshold for accelerated change of the cable loss value. The short-term power supply extreme value is predicted based on the power 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 extreme value.

[0054] The acquisition of historical averages makes the prediction of short-term power supply extreme values ​​more consistent with the working conditions of the working cable itself, improving the accuracy of short-term power supply extreme value predictions. By setting short-term power supply extreme values ​​to understand, we can avoid the loss value rising too quickly and further extend the service life of the cable.

[0055] [Third embodiment]

[0056] 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:

[0057] S331, record the historical period corresponding to the current period as a reference period, and obtain a reference power supply amount of the reference period;

[0058] S332. Predict the subsequent power supply amount of the current cycle based on the reference power supply amount, and calculate the influence coefficient of the cable loss value based on the difference between the subsequent power supply amount and the average power supply amount;

[0059] S333. Calculate the short-term power supply maximum value of the working cable under the subsequent power supply according to the influence coefficient, compare the short-term power supply maximum 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.

[0060] 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 cycles can be December 2023 and December 2022.

[0061] 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. 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.

[0062] For example, the current date is December 10th, the target number of days is 9, and the first power supply is 1200 kWh. When obtaining the second power supply, it is necessary to select the daily power supply data from December 1st to December 9th of each year. After obtaining the second power supply, the first fluctuation coefficient is calculated based on the difference between the first and second power supplies. The first fluctuation coefficient is denoted as K1, the first power supply is denoted as V1, and the second power supply is denoted as V2. The calculation method of the first fluctuation coefficient is as follows:

[0063] When (V1-V2)÷V2≤0, K1=1;

[0064] When 0<(V1-V2)÷V2≤0.15, K1=1.05;

[0065] When (V1-V2)÷V2>0.15, K1=1.1.

[0066] 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 remaining days there are, the greater the fluctuation in 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.

[0067] In step S333, the short-term power supply maximum 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 maximum value, the working cable needs to be controlled. When the maximum power supply voltage is less than the short-term power supply maximum value, the working cable does not need to be controlled.

[0068] 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 cycles, fully considering the fluctuation of power consumption caused by time. 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.

[0069] [Fourth embodiment]

[0070] See also Figure 3 In a specific embodiment, the theoretical power supply capacity of the working cable is predicted based on the short-term power supply value and the occurrence of extreme weather in the target area, specifically including:

[0071] S410, dividing the target area into multiple management areas, and calculating the average loss rate of the working cables in each management area;

[0072] S420, obtaining a first number of times extreme weather occurs in the target area and a second number of times each management area is affected by extreme weather;

[0073] S430. Convert the average loss rate according to the first number and the second number to obtain an expected loss rate, and predict the theoretical power supply capacity of the working cable according to the expected loss rate.

[0074] In step S410, the target area is usually a city, and the management area is usually the towns or villages 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.

[0075] In step S420, the extreme weather occurring in the target area does not necessarily cover every management area, and therefore, the second number will be less than or equal to the first number.

[0076] In step S430, when extreme weather occurs, the working cables in each management area are not subjected to exactly the same impact. 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.

[0077] The calculation of the average loss rate can reveal the effects of the working environment on the cable. The acquisition of the first and second numbers fully considers the impact of each extreme weather on the specific working cable, making the prediction of the theoretical power supply capacity more accurate.

[0078] [Fifth embodiment]

[0079] See also Figure 3 In a specific embodiment, 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, specifically including:

[0080] S431. When the first number is equal to the second number, calculate a first loss coefficient based on the first number; when the first number is less than the second number, calculate a second loss coefficient based on the first number and the second number;

[0081] S432. Convert the average loss rate according to the first loss coefficient or the second loss coefficient to obtain an estimated loss rate;

[0082] S433. Calculate the node level value of the working cable as the power supply node at each level based on the expected loss rate, and determine the theoretical power supply capacity based on the node level value.

[0083] In step S431, the first number is equal to the second number, indicating that each extreme weather in the target area has an impact on 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 means that there are some extreme weather events in the target area that have little impact on the working cable. Therefore, when calculating the second loss coefficient, the first number and the second number should be combined.

[0084] In step S432, the first number is T1, the second number is T2, the average loss rate is S0, the expected loss rate is S1, the first loss coefficient is M1, and the second loss coefficient is M2. The first number, the second number, the average loss rate, and the expected loss rate satisfy the following relationship:

[0085] When T1=T2, M1=2, that is, S1=2S0;

[0086] When 0.5T1<T2<T1, M2=1, that is, S1=S0;

[0087] When 0<T2≤0.5T1, M2=0.8, S1=0.8S0.

[0088] 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. By predicting the loss rate, the specific loss value of each level of the cable node in the future time period can be calculated. 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 judge the continuous working time of the working cable in extreme weather, that is, the theoretical power supply capacity.

[0089] 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 expected loss rate is more in line with the actual loss situation of the working cable. 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.

[0090] [Sixth embodiment]

[0091] 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:

[0092] S510, recording the working cable whose short-term power supply value is less than the subsequent power supply as a cable to be deployed, and recording the power supply unit of the cable to be deployed as a unit to be deployed;

[0093] S520: Obtain the available power nodes of the unit to be deployed and the allocable power corresponding to each available power node, adjust the short-term power supply threshold according to the allocable power, and obtain an adjusted power supply threshold;

[0094] S530, adjusting the estimated loss rate of the current cycle according to the adjusted power supply voltage value to obtain an adjusted loss rate;

[0095] 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.

[0096] In steps S510 to S540, when the short-term power supply maximum value 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 maximum value. 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 adjusted loss rate is used to calculate the time that the cable to be deployed can work in extreme weather to obtain the corrected power supply capacity.

[0097] 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.

[0098] 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 status 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.

[0099] [Seventh embodiment]

[0100] 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:

[0101] S610, calculating the theoretical power supply demand corresponding to each simulated path according to the future power grid plan;

[0102] S620: Mark the analog paths according to the theoretical power supply demand and the corrected power supply capacity, and mark the analog paths whose corrected power supply capacity is less than or equal to the theoretical power supply demand as paths to be managed;

[0103] 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.

[0104] In steps S610 to 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 will be possible to clearly obtain renovation plans for some areas, and based on the renovation plans, obtain simulation paths after the renovation is completed, as well as theoretical power supply requirements corresponding to the simulation paths.

[0105] If the corrected power supply capacity does not meet the theoretical power supply requirements, it means that the working cable was damaged when the transformation was completed, or it cannot bear the power consumption of the simulated path. To ensure that the transformation work can proceed smoothly, it is necessary to analyze the load operation data on the simulated path and respond in advance to changes in the working status of the working cable.

[0106] By simulating paths and theoretical power supply requirements, we can accurately obtain the amount of power supply that the working cable will need to bear in the future. Through 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 a timely manner.

[0107] [Eighth embodiment]

[0108] See also Figure 5 In a specific embodiment, 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:

[0109] S631. Calculate the power supply difference between the corrected power supply capability and the theoretical power supply requirement;

[0110] 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;

[0111] 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 adjusted loss rate.

[0112] 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.

[0113] 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.

[0114] The calculation of the power supply difference intuitively reflects the difference between the expected working status and the actual working status of the working cable. Adjusting the threshold setting determines how the managed path handles different working status fluctuations. The calculation of the safe operation time clarifies the time when the working cable can operate normally, providing time for updating the working cable of the managed path to avoid failure of the managed path after work begins.

[0115] Ninth embodiment

[0116] 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 located; 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 value 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 in detail here.

[0117] 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 scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A cable management method based on a power GIS platform, characterized in that: The cable management method based on the 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 current working data of each working cable in the current planning map; Acquire historical working data of each working cable, and predict a short-term power supply voltage of the working cable based on the historical working data and the current working data; Predicting the theoretical power supply capacity of the working cable based on the short-term power supply threshold and the occurrence of extreme weather in the target area; 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 a corrected power supply capacity; Obtaining a future power grid plan within the target area, and adjusting the future power grid plan according to the revised power supply capacity; The acquiring of historical working data of each working cable and predicting a short-term power supply voltage of the working cable based on the historical working data and the current working data includes: 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 a historical average; Obtain an average power supply of the working cable in the current period, record it as the current average power supply, and calculate an average power difference based on the current average power supply and the historical average power supply; 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; The predicting of the short-term power supply voltage of the working cable according to the average power difference and the cable loss values ​​in each of the historical periods includes: Recording the historical period corresponding to the current period as a reference period, and obtaining a reference power supply amount of the reference period; Predicting a subsequent power supply amount of the current cycle according to the reference power supply amount, and calculating an influence coefficient of the cable loss value according to the subsequent power supply amount and the average power difference; Calculating the short-term power supply limit of the working cable under the subsequent power supply according to the influence coefficient; Comparing the short-term power supply maximum value with the subsequent power supply amount to determine whether the power supply condition of the working cable in the current cycle needs to be controlled; 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 includes: Dividing the target area into a plurality of management areas, and calculating the average loss rate of the working cable in each management area; Obtain 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; Converting the average loss rate according to the first number and the second number to obtain an expected loss rate, and predicting a theoretical power supply capacity of the working cable according to the expected loss rate; The converting the average loss rate according to the first number of times and the second number of times to obtain an expected loss rate, and predicting the theoretical power supply capacity of the working cable according to the expected loss rate 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 based on the expected loss rate, and the theoretical power supply capacity is determined based on the node level value.

2. The cable management method based on the electric power GIS platform according to claim 1 is characterized in that: The adjusting of 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, includes: Recording the working cable whose short-term power supply value is less than the subsequent power supply as a cable to be deployed, and recording the power supply unit of the cable to be deployed as a unit to be deployed; Obtaining the available power nodes of the unit to be deployed and the allocable power corresponding to each of the available power nodes, and adjusting the short-term power supply threshold according to the allocable power to obtain an 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 based on the corrected node level value.

3. The cable management method based on the electric power GIS platform according to claim 2 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 revised power supply capacity includes: 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 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; 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.

4. The cable management method based on the electric power GIS platform according to claim 3 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, including: Calculating a power supply difference between the corrected power supply capability and the theoretical power supply requirement; 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.

5. A cable management system based on the power GIS platform, characterized in that: The cable management method according to any one of claims 1 to 4 is applied to the cable management system, the cable management system comprising: A storage module, wherein the data management library is provided 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, configured to predict the short-term power supply threshold and the theoretical power supply capacity; A planning module is used to plan the future power grid plan.

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