A line planning simulation system and method for power distribution system

Abstract

An embodiment of the present invention discloses a line planning simulation system and method for a power distribution system, wherein the line planning simulation system includes a data acquisition module, a power load prediction module, a main path simulation laying module, and a wire type determination module; the data acquisition module is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned; the main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and simulate the laying along the main path; the power load prediction module is used to determine the predicted power load data of the area to be planned within the target safe working period; the wire type determination module is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of power distribution planning, and in particular to a line planning simulation system and method for a power distribution system. Background Art

[0002] Distribution planning is the development of a region's power distribution system based on forecasts of power load growth over the next several years, along with factors such as power supply layout and geographical environment. The distribution system encompasses all feeder networks, from distribution substations to individual distribution points or large consumers. While lower in voltage than transmission systems, distribution systems are characterized by their wide coverage, complex structure, large number of electrical devices, and close ties to urban development and beautification.

[0003] In addition to selecting the locations of key distribution nodes, power distribution planning also involves selecting the optimal routing and type of cable. This is crucial for ensuring the normal power demand in the region when the distribution lines are put into operation. However, to ensure effective cable laying, conventional distribution planning often uses cables that are far larger than their actual load-bearing capacity. This increases costs and wastes resources. Summary of the Invention

[0004] The embodiments of the present invention provide a line planning simulation system and method for a power distribution system, which solves the existing problem that in order to ensure the effective operation of laying wires, the wires selected for laying in the power distribution planning are often much larger than the actual load-bearing capacity, which leads to increased costs and waste of resources.

[0005] In a first aspect, an embodiment of the present invention provides a line planning simulation system for a power distribution system, comprising a data acquisition module, a power load prediction module, a main path simulation laying module, and a wire type determination module;

[0006] The data acquisition module is electrically connected to the power load prediction module and the main path simulation paving module respectively, and is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned;

[0007] The main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned according to the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and simulate laying along the main path;

[0008] The power load forecasting module is used to determine the predicted power load data of the area to be planned within the target safe working period based on the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned;

[0009] The wire type determination module is electrically connected to the power load prediction module and the main path simulation laying module respectively, and is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data.

[0010] Optionally, the data collection module includes a user distribution collection unit, a user history electricity consumption collection unit, a population growth rate collection unit and an economic growth rate collection unit;

[0011] The user distribution acquisition unit is electrically connected to the main path simulation laying module, and the user distribution acquisition unit is used to obtain the user distribution situation in the area to be planned;

[0012] The user history electricity consumption collection unit is electrically connected to the electricity load prediction module and the main path simulation laying module respectively, and the user history electricity consumption collection unit is used to obtain the historical electricity load data of each user in the area to be planned;

[0013] The population growth rate acquisition unit is electrically connected to the power load forecasting module, and the population growth rate acquisition unit is used to obtain the population growth rate of the area to be planned;

[0014] The economic growth rate acquisition unit is electrically connected to the power load forecasting module, and the economic growth rate acquisition unit is used to obtain the economic growth rate of the area to be planned.

[0015] Optionally, the power load prediction module includes a regional historical power consumption determination unit and a power load prediction unit;

[0016] The data acquisition module is electrically connected to the regional historical electricity consumption determination unit and the electricity load prediction unit respectively, and the regional historical electricity consumption determination unit is used to determine the historical electricity load data of the entire area to be planned based on the historical electricity load data of each user in the area to be planned;

[0017] The power load prediction unit is also electrically connected to the regional historical power consumption determination unit and the wire type determination module respectively. The power load prediction unit is used to calculate the power load according to the formula L t =L0×(1+G p ) t×α ×(1+G e ) t, determine the predicted power load data L of the planned area within the target safe working period t t Wherein, L0 represents the historical power load data of the entire area to be planned, G p Indicates the population growth rate of the area to be planned, G e represents the economic growth rate of the area to be planned, and α represents the influence weight of the population growth rate of the area to be planned on the electricity load.

[0018] Optionally, the main path simulation laying module includes a node power supply area division unit, a transit node determination unit and a main path simulation laying unit;

[0019] The node power supply area division unit is electrically connected to the data acquisition module and the transit node determination unit, respectively, and is configured to divide the area to be planned into a plurality of node power supply areas according to a preset power load threshold based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned; wherein the difference between the overall historical power load data of each node power supply area and the preset power load threshold satisfies a first difference range;

[0020] The transfer node determination unit is used to determine the transfer node corresponding to each node power supply area according to the user distribution in each node power supply area;

[0021] The main path simulation laying unit is electrically connected to the transfer node determination unit and the wire type determination module respectively. The main path simulation laying unit is used to simulate all the transfer nodes to be connected in sequence, determine the main path of the distribution line corresponding to the area to be planned, and simulate laying along the main path.

[0022] Optionally, the main path simulation laying unit includes a simulation connection distance acquisition subunit, a simulation connection distance comparison subunit and a main path simulation laying subunit;

[0023] The simulated connection distance acquisition subunit is electrically connected to the transfer node determination unit and the simulated connection distance comparison subunit respectively, and the simulated connection distance acquisition subunit is used to simulate all the transfer nodes to be connected in sequence, and obtain the distances of the simulated connection paths corresponding to multiple simulated connections;

[0024] The simulated connection distance comparison subunit is used to compare the distances of the simulated connection paths corresponding to multiple simulated connections, and define the simulated connection path corresponding to the minimum distance as the main path of the distribution line corresponding to the area to be planned;

[0025] The main path simulation laying subunit is electrically connected to the simulated connection distance comparison subunit and the wire type determination module respectively, and the main path simulation laying subunit is used to perform simulated laying along the main path according to the main path of the distribution line corresponding to the area to be planned.

[0026] Optionally, the wire type determination module includes a bearing load comparison unit and a wire type determination unit;

[0027] The load comparison unit is electrically connected to the wire type determination unit and the power load prediction module, and is used to compare the predicted power load data with the maximum load data of multiple types of wires to be laid;

[0028] The wire type determination unit is also electrically connected to the main path simulation laying module, and the wire type determination unit is used to determine the type of wire to be laid corresponding to the second difference range that satisfies the difference between the maximum bearing load data and the predicted power load data as the type of laying wire corresponding to the main path.

[0029] Optionally, the wire type determination module further includes a historical climate acquisition unit and a historical climate association unit;

[0030] The historical climate acquisition unit is used to acquire historical climate data of the area to be planned;

[0031] The historical climate association unit is electrically connected to the historical climate acquisition unit and the load comparison unit, respectively, and is used to determine, based on the historical climate data of the area to be planned, a maximum fluctuation impact value of the historical climate data on the maximum load data of the wire to be laid;

[0032] The load comparison unit is further configured to compare the sum of the predicted power load data and the maximum fluctuation impact value with the maximum load data of multiple types of wires to be laid;

[0033] The wire type determination unit is further used to determine the type of wire to be laid corresponding to the main path, if the difference between the maximum carrying load data and the sum of the predicted power load data and the maximum fluctuation impact value satisfies the second difference range.

[0034] Optionally, an auxiliary path simulation paving module is also included;

[0035] The data acquisition module is electrically connected to the auxiliary path simulation laying module, and the data acquisition module is further used to obtain the future migration direction and future migration area of ​​the user cluster in the area to be planned;

[0036] The auxiliary path simulation laying module is used to determine the auxiliary path of the distribution line corresponding to the future migration area according to the future migration direction and future migration area of ​​the user cluster in the area to be planned, and simulate laying along the auxiliary path; wherein the auxiliary path is connected to the main path;

[0037] The wire type determination module is also electrically connected to the auxiliary path simulation laying module, and the wire type determination module is further used to determine the type of laying wire corresponding to the auxiliary path according to preset additional power load data.

[0038] Optionally, the line planning simulation system further includes a wire load-bearing capacity determination module;

[0039] The wire carrying capacity determination module is electrically connected to the wire type determination module, and the wire carrying capacity determination module is used to determine the sum of the wire carrying capacities in the area to be planned and the future migration area based on the carrying capacity of the type of laid wire corresponding to the main path, the allocation weight of the type of laid wire corresponding to the main path, the carrying capacity of the type of laid wire corresponding to the auxiliary path, and the allocation weight of the type of laid wire corresponding to the auxiliary path.

[0040] In a second aspect, an embodiment of the present invention further provides a line planning simulation method for a power distribution system, comprising:

[0041] Obtaining user distribution in the area to be planned, historical power load data of each user in the area to be planned, population growth rate of the area to be planned, and economic growth rate of the area to be planned;

[0042] Determine the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and perform simulated laying along the main path;

[0043] Determining predicted power load data for the area to be planned within a target safe working period based on historical power load data of each user in the area to be planned, a population growth rate of the area to be planned, and an economic growth rate of the area to be planned;

[0044] The type of laid wire corresponding to the main path is determined based on at least the predicted power load data.

[0045] An embodiment of the present invention provides a line planning simulation system and method for a power distribution system, the line planning simulation system including a data acquisition module, a power load prediction module, a main path simulation laying module, and a wire type determination module; the data acquisition module is electrically connected to the power load prediction module and the main path simulation laying module respectively, and the data acquisition module is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate in the area to be planned, and the economic growth rate in the area to be planned; the main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and simulate laying along the main path; the power load prediction module is used to determine the predicted power load data of the area to be planned within the target safe working period based on the historical power load data of each user in the area to be planned, the population growth rate in the area to be planned, and the economic growth rate in the area to be planned; the wire type determination module is electrically connected to the power load prediction module and the main path simulation laying module respectively, and the wire type determination module is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data. The line planning simulation system uses a data acquisition module to obtain historical information and user information of the area to be planned, uses a main path simulation laying module to determine the main path of the distribution line corresponding to the area to be planned, uses a power load prediction module to predict the predicted power load data of the area to be planned within the target safe working period, and uses a wire type determination module to determine the type of laid wire corresponding to the main path. In this way, the historical data is combined to predict the future power load required, and the carrying capacity of the laid wire is effectively judged, and then the type of laid wire that meets the carrying capacity is selected. While ensuring normal power supply in the area to be planned, the laying cost of the wire is effectively reduced, and resource waste is avoided, which provides convenience for the path simulation of the distribution line in the area to be planned. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0047] Figure 1 This is a schematic diagram of the structure of a line planning simulation system for a power distribution system provided by an embodiment of the present invention;

[0048] Figure 2 This is a structural diagram of another line planning simulation system for a power distribution system provided by an embodiment of the present invention;

[0049] Figure 3This is a structural diagram of another line planning simulation system for a power distribution system provided by an embodiment of the present invention;

[0050] Figure 4 It is a flow chart of a line planning simulation method for a power distribution system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0052] Figure 1 FIG. 1 is a schematic diagram of a circuit planning simulation system for a power distribution system according to an embodiment of the present invention. Figure 1 As shown, the line planning simulation system of the power distribution system includes a data acquisition module 10, a power load prediction module 20, a main path simulation laying module 30 and a wire type determination module 40; the data acquisition module 10 is electrically connected to the power load prediction module 20 and the main path simulation laying module 30 respectively, and the data acquisition module 10 is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned and the economic growth rate of the area to be planned; the main path simulation laying module 30 is used to determine the user distribution in the area to be planned and the historical power load data of each user in the area to be planned. The historical electricity load data of the power distribution line is used to determine the main path of the distribution line corresponding to the area to be planned, and simulate the laying of the distribution line along the main path; the power load prediction module 20 is used to determine the predicted power load data of the area to be planned within the target safe working period according to the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned and the economic growth rate of the area to be planned; the wire type determination module 40 is electrically connected to the power load prediction module 20 and the main path simulation laying module 30 respectively, and the wire type determination module 40 is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data.

[0053] Specifically, the power distribution system's line planning simulation system includes a data acquisition module 10, a power load prediction module 20, a main path simulation layout module 30, and a wire type determination module 40. The data acquisition module 10 can obtain the user distribution in the planned area, historical power load data for each user in the planned area, the population growth rate, and the economic growth rate in the planned area. For example, the data acquisition module 10 can obtain the user distribution in the planned area, historical power load data for each user, population growth rate, and economic growth rate on a yearly or monthly basis. For example, a two-dimensional or three-dimensional coordinate system can be established in the planned area to determine the distribution of each user in the planned area using coordinates, thereby facilitating the subsequent determination of the specific distribution line layout based on the distribution of each user in the planned area. For example, historical power load data for each user in the planned area can be obtained using methods such as electricity meter records and field visits. Furthermore, it should be noted that the sum of the historical power load data corresponding to each user in the planned area constitutes the historical power load data for the entire planned area. For example, the population growth rate and economic growth rate of the planned area can be obtained based on the recorded information of the relevant departments, so that the predicted future electricity load data of the planned area can be determined based on the historical electricity load data, population growth rate, and economic growth rate of the entire planned area. This embodiment is only an example and is not limiting.

[0054] The data acquisition module 10 is electrically connected to the main path simulation layout module 30. The data acquisition module 10 can transmit the acquired user distribution data and historical power load data for each user in the planned area to the main path simulation layout module 30. The main path simulation layout module 30 can analyze and process the received user distribution data and historical power load data for each user in the planned area, determine the main path for the distribution line corresponding to the planned area, and simulate the layout along the main path. It is understood that this main path can be used to distribute power to each user in the planned area, ensuring normal power supply to each user in the planned area. Furthermore, the data acquisition module 10 is also electrically connected to the power load prediction module 20. The data acquisition module 10 can transmit the acquired historical power load data, population growth rate, and economic growth rate for each user in the planned area to the power load prediction module 20. The power load prediction module 20 can analyze and process the received historical power load data, population growth rate, and economic growth rate for each user in the planned area to determine the predicted power load data for the planned area within the target safe working period. It is understandable that the predicted power load data can ensure the normal power demand of each user in the area to be planned within the target safe working period.

[0055] The wire type determination module 40 is electrically connected to the power load prediction module 20 and the main path simulation laying module 30, respectively. The wire type determination module 40 can receive the predicted power load data of the area to be planned within the target safe working period transmitted by the power load prediction module 20, and the main path of the distribution line corresponding to the area to be planned transmitted by the main path simulation laying module 30. Then, the wire type determination module 40 can analyze and process the predicted power load data and select the type of laying wire corresponding to the main path to ensure that the load carrying capacity of the selected laying wire type is greater than or equal to the predicted power load data. In this way, during the normal use of the laying wire, the normal power demand of each user in the area to be planned within the target safe working period is further guaranteed. In this way, after determining the main path of the distribution line corresponding to the simulated laying and the type of laying wire corresponding to the main path, the subsequent actual construction process can be carried out. This embodiment effectively improves construction efficiency and ensures the power demand of the area to be planned.

[0056] According to the technical solution in the embodiment of the present invention, the line planning simulation system uses a data acquisition module to obtain historical information and user information of the area to be planned, uses a main path simulation laying module to determine the main path of the distribution line corresponding to the area to be planned, uses a power load prediction module to predict the predicted power load data of the area to be planned within the target safe working period, and uses a wire type determination module to determine the type of laid wire corresponding to the main path. In this way, the future required power load is predicted in combination with historical data, the carrying capacity of the laid wire is effectively judged, and then the type of laid wire that meets the carrying capacity is selected, which ensures normal power supply in the area to be planned while effectively reducing the laying cost of the wire, avoiding waste of resources, and providing convenience for the path simulation of the distribution line in the area to be planned.

[0057] Optionally, Figure 2 FIG. 1 is a structural diagram of another line planning simulation system for a power distribution system provided by an embodiment of the present invention. Figure 2As shown, the data acquisition module 10 includes a user distribution acquisition unit 11, a user history electricity consumption acquisition unit 12, a population growth rate acquisition unit 13 and an economic growth rate acquisition unit 14; the user distribution acquisition unit 11 is electrically connected to the main path simulation laying module 30, and the user distribution acquisition unit 11 is used to obtain the user distribution in the area to be planned; the user history electricity consumption acquisition unit 12 is electrically connected to the power load prediction module 20 and the main path simulation laying module 30 respectively, and the user history electricity consumption acquisition unit 12 is used to obtain the historical power load data of each user in the area to be planned; the population growth rate acquisition unit 13 is electrically connected to the power load prediction module 20, and the population growth rate acquisition unit 13 is used to obtain the population growth rate of the area to be planned; the economic growth rate acquisition unit 14 is electrically connected to the power load prediction module 20, and the economic growth rate acquisition unit 14 is used to obtain the economic growth rate of the area to be planned.

[0058] Specifically, the data acquisition module 10 includes a user distribution acquisition unit 11, a user historical electricity consumption acquisition unit 12, a population growth rate acquisition unit 13, and an economic growth rate acquisition unit 14. Among them, the user distribution acquisition unit 11 can obtain the user distribution in the area to be planned. For example, a two-dimensional coordinate system or a three-dimensional coordinate system can be established in the area to be planned, and the distribution of each user in the area to be planned is determined in the form of coordinates. The user distribution acquisition unit 11 is electrically connected to the main path simulation laying module 30, and the user distribution acquisition unit 11 can transmit the user distribution in the area to be planned to the main path simulation laying module 30 to facilitate the subsequent determination of the main path of the distribution line. The user historical electricity consumption acquisition unit 12 can obtain the historical electricity load data of each user in the area to be planned. For example, the historical electricity load data of each user in the area to be planned can be obtained by using electricity meter records, visits and inquiries, etc. The user historical electricity consumption collection unit 12 is electrically connected to the electricity load prediction module 20. The user historical electricity consumption collection unit 12 can transmit the historical electricity load data of each user in the planned area to the electricity load prediction module 20 to facilitate the subsequent determination of predicted electricity load data. Furthermore, the user historical electricity consumption collection unit 12 is electrically connected to the main path simulation laying module 30. The user historical electricity consumption collection unit 12 can transmit the historical electricity load data of each user in the planned area to the main path simulation laying module 30 to facilitate the subsequent determination of the main path of the distribution line. The population growth rate collection unit 13 can obtain the population growth rate of the planned area. For example, the population growth rate of the planned area can be obtained based on the records of relevant departments. The population growth rate collection unit 13 is electrically connected to the electricity load prediction module 20. The population growth rate collection unit 13 can transmit the population growth rate of the planned area to the electricity load prediction module 20 to facilitate the subsequent determination of predicted electricity load data. The economic growth rate collection unit 14 can obtain the economic growth rate of the planned area. For example, the economic growth rate of the planned area can be obtained based on the records of relevant departments. The economic growth rate acquisition unit 14 is electrically connected to the power load forecasting module 20 , and the economic growth rate acquisition unit 14 can transmit the economic growth rate of the area to be planned to the power load forecasting module 20 to facilitate the subsequent determination of the predicted power load data.

[0059] Optionally, continue to refer to Figure 2The power load prediction module 20 includes a regional historical power consumption determination unit 21 and a power load prediction unit 22; the data acquisition module 10 is electrically connected to the regional historical power consumption determination unit 21 and the power load prediction unit 22 respectively, and the regional historical power consumption determination unit 21 is used to determine the historical power load data of the entire planned area according to the historical power load data of each user in the planned area; the power load prediction unit 22 is also electrically connected to the regional historical power consumption determination unit 21 and the wire type determination module 40 respectively, and the power load prediction unit 22 is used to calculate the power load data of the entire planned area according to the calculation formula L t =L0×(1+G p ) t×α ×(1+G e ) t , determine the predicted power load data L of the planned area within the target safe working period t t ; Among them, L0 represents the historical electricity load data of the entire area to be planned, G p represents the population growth rate of the area to be planned, G e It represents the economic growth rate of the area to be planned, and α represents the weight of the impact of the population growth rate of the area to be planned on the electricity load.

[0060] Specifically, the power load prediction module 20 includes a regional historical power consumption determination unit 21 and a power load prediction unit 22. The regional historical power consumption determination unit 21 is electrically connected to the data acquisition module 10, so that the data acquisition module 10 can transmit the acquired historical power load data of each user in the area to be planned to the regional historical power consumption determination unit 21. The regional historical power consumption determination unit 21 can determine the historical power load data of the entire area to be planned based on the historical power load data of each user in the area to be planned. For example, the regional historical power consumption determination unit 21 can sum the historical power load data corresponding to each user in the area to be planned, and the sum of the historical power load data corresponding to each user in the area to be planned is the historical power load data of the entire area to be planned. The power load prediction unit 22 is electrically connected to the data acquisition module 10 and the regional historical power consumption determination unit 21 respectively. The data acquisition module 10 can transmit the acquired population growth rate and economic growth rate to the power load prediction unit 22. The regional historical power consumption determination unit 21 can also transmit the determined historical power load data of the entire planned area to the power load prediction unit 22. The power load prediction unit 22 can analyze and process the historical power load data, population growth rate and economic growth rate of the entire planned area to determine the predicted power load data of the planned area within the target safe working period. Further, the power load prediction unit 22 can calculate the power load data of the planned area according to the calculation formula L t =L0×(1+G p ) t×α ×(1+Ge ) t , determine the predicted power load data L of the planned area within the target safe working period t t ; Among them, L0 represents the historical electricity load data of the entire area to be planned, G p represents the population growth rate of the area to be planned, G e represents the economic growth rate of the area to be planned, and α represents the weight of the impact of the population growth rate of the area to be planned on the electricity load. In other words, the electricity load prediction unit 22 calculates the future predicted electricity load by analyzing the historical electricity load data, population growth rate, and economic growth rate of the area to be planned. In addition, the electricity load prediction unit 22 is also electrically connected to the wire type determination module 40. The electricity load prediction unit 22 can transmit the determined predicted electricity load data to the wire type determination module 40 so that the wire type determination module 40 can subsequently analyze and process the predicted electricity load data and select the type of wire to be laid corresponding to the main path of the distribution line.

[0061] Optionally, continue to refer to Figure 2 The main path simulation laying module 30 includes a node power supply area division unit 31, a transit node determination unit 32 and a main path simulation laying unit 33; the node power supply area division unit 31 is electrically connected to the data acquisition module 10 and the transit node determination unit 32 respectively, and the node power supply area division unit 31 is used to divide the area to be planned into multiple node power supply areas according to the preset power load threshold based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned; wherein the difference between the overall historical power load data of each node power supply area and the preset power load threshold satisfies the first difference range; the transit node determination unit 32 is used to determine the transit node corresponding to each node power supply area according to the user distribution in each node power supply area; the main path simulation laying unit 33 is electrically connected to the transit node determination unit 32 and the wire type determination module 40 respectively, and the main path simulation laying unit 33 is used to simulate all the transit nodes to be connected in sequence, determine the main path of the distribution line corresponding to the area to be planned, and simulate laying along the main path.

[0062] Specifically, the main path simulation laying module 30 includes a node power supply area division unit 31, a transit node determination unit 32 and a main path simulation laying unit 33. Among them, the node power supply area division unit 31 is electrically connected to the data acquisition module 10, and the data acquisition module 10 can transmit the user distribution in the area to be planned and the historical power load data of each user in the area to be planned to the node power supply area division unit 31. The node power supply area division unit 31 can analyze and process the received user distribution in the area to be planned and the historical power load data of each user, and divide the area to be planned into multiple node power supply areas according to the preset power load threshold, and the difference between the overall historical power load data of each node power supply area and the preset power load threshold satisfies the first difference range. For example, the historical power load data corresponding to the user can be the average value within the month or the average value within the year, etc. For example, at least two users with similar locations can be divided into the same node power supply area according to the limitation of the preset power load threshold. The number of users in the node power supply area is not limited, and the difference between the sum of the historical power load data corresponding to each user in the node power supply area and the preset power load threshold should satisfy the first difference range. That is, the historical power load data of each node power supply area as a whole is the same or similar. For example, the preset power load threshold can be determined according to the actual power load situation of the area to be planned, and the first difference range can also be determined according to the actual power load situation of the area to be planned. The node power supply area division unit 31 is also electrically connected to the transit node determination unit 32, and the node power supply area division unit 31 can transmit the relevant information of the multiple node power supply areas obtained by division (for example, the number of node power supply areas, the distribution of users in each node power supply area, the historical power load data of each node power supply area as a whole, etc.) to the transit node determination unit 32. The transit node determination unit 32 can determine the transit node corresponding to each node power supply area based on the distribution of users in each node power supply area. For example, in any node power supply area, a two-dimensional coordinate system or a three-dimensional coordinate system can be established, and the distribution of each user in the area to be planned can be determined in the form of coordinates, thereby obtaining the center of gravity of the coordinates of all users in the node power supply area, and determining the center of gravity of the coordinates as the transit node corresponding to the node power supply area to which they belong. For example, the horizontal coordinate of the center of gravity of the coordinates of all users in the node power supply area can be the result of dividing the sum of the horizontal coordinates of the coordinates of all users in the node power supply area by the number of users in the node power supply area, and the vertical coordinate of the center of gravity of the coordinates of all users in the node power supply area can be the result of dividing the sum of the vertical coordinates of the coordinates of all users in the node power supply area by the number of users in the node power supply area.The transfer node determination unit 32 is also electrically connected to the main path simulation laying unit 33. The transfer node determination unit 32 can transmit the relevant information of the multiple transfer nodes determined (for example, the coordinate data of each transfer node, etc.) to the main path simulation laying unit 33. The main path simulation laying unit 33 can simulate all the transfer nodes to be connected in sequence, determine the main path of the distribution line corresponding to the area to be planned, and simulate laying along the main path. For example, the main path simulation laying unit 33 can connect all the transfer nodes in series in a certain order and connection method, and simulate multiple sequentially connected paths to determine the main path of the distribution line corresponding to the area to be planned, and simulate laying along the main path. Furthermore, the main path simulation laying unit 33 is also electrically connected to the wire type determination module 40, so that the main path simulation laying unit 33 can transmit the main path of the distribution line corresponding to the area to be planned to the wire type determination module 40, so that the subsequent wire type determination module 40 can analyze and process the predicted power load data and select the type of laying wire corresponding to the main path. In this way, the main path simulation laying module 30 can simulate the regular and orderly laying of cables in the area to be planned, divide the node power supply area according to the historical power load data corresponding to each user in the area to be planned, and facilitate the calculation of the optimal laying path for the main path corresponding to the distribution line. At the same time, the type of laying wire is selected in combination with the predicted power load data, which effectively reduces the laying cost of the wire while ensuring normal power supply in the area to be planned.

[0063] Further, continue to refer to Figure 2 The main path simulation laying unit 33 includes a simulated connection distance acquisition subunit 331, a simulated connection distance comparison subunit 332 and a main path simulation laying subunit 333; the simulated connection distance acquisition subunit 331 is electrically connected to the transfer node determination unit 32 and the simulated connection distance comparison subunit 332 respectively, and the simulated connection distance acquisition subunit 331 is used to simulate all transfer nodes to be connected in sequence, and obtain the distances of the simulated connection paths corresponding to multiple simulated connections; the simulated connection distance comparison subunit 332 is used to compare the distances of the simulated connection paths corresponding to multiple simulated connections, and define the simulated connection path corresponding to the minimum distance as the main path of the distribution line corresponding to the area to be planned; the main path simulation laying subunit 333 is electrically connected to the simulated connection distance comparison subunit 332 and the wire type determination module 40 respectively, and the main path simulation laying subunit 333 is used to simulate laying along the main path according to the main path of the distribution line corresponding to the area to be planned.

[0064] Specifically, the simulated connection distance acquisition subunit 331 is electrically connected to the transfer node determination unit 32, and the transfer node determination unit 32 can transmit the relevant information of the multiple transfer nodes determined (for example, the coordinate data of each transfer node, etc.) to the simulated connection distance acquisition subunit 331. The simulated connection distance acquisition subunit 331 can simulate all the transfer nodes to be connected in sequence, and obtain the distances of the simulated connection paths corresponding to the multiple simulated connections. The connection order and connection distances of the simulated connection paths in different simulation processes are different. The simulated connection distance acquisition subunit 331 is also electrically connected to the simulated connection distance comparison subunit 332, and the simulated connection distance acquisition subunit 331 can transmit the distances of the simulated connection paths corresponding to the multiple simulated connections to the simulated connection distance comparison subunit 332. The simulated connection distance comparison subunit 332 can compare the distances of the simulated connection paths corresponding to the multiple simulated connections, and define the simulated connection path corresponding to the minimum distance as the main path of the distribution line corresponding to the area to be planned. The simulated connection distance comparison subunit 332 is also electrically connected to the main path simulation laying subunit 333. The simulated connection distance comparison subunit 332 can transmit the determined main path of the distribution line corresponding to the area to be planned to the main path simulation laying subunit 333. The main path simulation laying subunit 333 can then simulate laying the distribution line along the main path based on the main path of the distribution line corresponding to the area to be planned. Furthermore, the main path simulation laying subunit 333 is also electrically connected to the wire type determination module 40. The main path simulation laying subunit 333 can transmit the main path of the distribution line corresponding to the area to be planned to the wire type determination module 40, so that the wire type determination module 40 can subsequently analyze and process the predicted power load data and select the type of wire to be laid corresponding to the main path. That is, after obtaining information about all transit nodes in the area to be planned, the main path simulation laying unit 33 connects all transit nodes, uses the shortest connection distance as the optimal path for laying the main path corresponding to the distribution line, and simulates laying the wire along this optimal path.

[0065] Optionally, continue to refer to Figure 2 The wire type determination module 40 includes a load comparison unit 41 and a wire type determination unit 42; the load comparison unit 41 is electrically connected to the wire type determination unit 42 and the power load prediction module 20 respectively, and the load comparison unit 41 is used to compare the predicted power load data with the maximum load data of multiple types of wires to be laid; the wire type determination unit 42 is also electrically connected to the main path simulation laying module 30, and the wire type determination unit 42 is used to determine the type of wire to be laid corresponding to the second difference range as the type of wire to be laid corresponding to the main path.

[0066] Specifically, the wire type determination module 40 includes a load comparison unit 41 and a wire type determination unit 42. The load comparison unit 41 is electrically connected to the power load prediction module 20, and the power load prediction module 20 can transmit the predicted power load data of the area to be planned within the target safe working period to the load comparison unit 41. The load comparison unit 41 can compare the predicted power load data with the maximum load data of multiple types of wires to be laid under the limitation of the target safe working period. The predicted power load data can also be understood as the maximum power load of the area to be planned. The load comparison unit 41 is also electrically connected to the wire type determination unit 42, and the wire type determination unit 42 can determine the type of wire to be laid corresponding to the main path based on the comparison results of the predicted power load data with the maximum load data of multiple types of wires to be laid, and the difference between the maximum load data and the predicted power load data satisfies the second difference range. In other words, only when the maximum load-bearing data of the wire to be laid is greater than the predicted power load data, this type of wire to be laid can be used as the type of wire to be laid corresponding to the main path. That is, according to the predicted power load data, the wire to be laid that meets the standards is selected as the wire to be laid for the above-mentioned optimal path.

[0067] Further, continue to refer to Figure 2 The wire type determination module 40 also includes a historical climate acquisition unit 43 and a historical climate association unit 44; the historical climate acquisition unit 43 is used to obtain historical climate data of the area to be planned; the historical climate association unit 44 is electrically connected to the historical climate acquisition unit 43 and the load comparison unit 41 respectively, and the historical climate association unit 44 is used to determine the maximum fluctuation impact value of the historical climate data on the maximum load data of the wire to be laid based on the historical climate data of the area to be planned; the load comparison unit 41 is also used to compare the sum of the predicted power load data and the maximum fluctuation impact value with the maximum load data of multiple types of wires to be laid; the wire type determination unit 42 is also used to determine the type of wire to be laid corresponding to the main path if the difference between the maximum load data and the sum of the predicted power load data and the maximum fluctuation impact value satisfies the second difference range.

[0068] First of all, it should be noted that this embodiment additionally introduces the consideration of the impact of climate change on the power transmission capacity of the wires to be laid corresponding to the distribution lines. In this way, the impact of climate change on the power transmission capacity of the wires to be laid can be further reduced, providing practical and effective protection for normal electricity use in the area to be planned.

[0069] Specifically, the wire type determination module 40 includes a load comparison unit 41, a wire type determination unit 42, a historical climate acquisition unit 43, and a historical climate association unit 44. Among them, the historical climate acquisition unit 43 can obtain the historical climate data of the area to be planned, so as to optimize the type of wire to be laid according to the influence of the historical climate data of the area to be planned on the power transmission capacity of the wire to be laid, which can further improve the anti-climatic interference ability of the wire to be laid, and provide further guarantee for the normal power consumption of the area to be planned. The historical climate association unit 44 is electrically connected to the historical climate acquisition unit 43, and the historical climate acquisition unit 43 can transmit the acquired historical climate data of the area to be planned to the historical climate association unit 44. The historical climate association unit 44 can determine the maximum fluctuation impact value of the historical climate data on the maximum load data of the wire to be laid based on the historical climate data of the area to be planned, that is, determine the numerical value corresponding to the degree of influence of the historical climate data on the power transmission capacity of the cable. Exemplarily, the maximum fluctuation impact value can also be understood as an error value, so as to facilitate the subsequent reasonable adjustment of the predicted power load data, so that the selected wire to be laid can carry the predicted power load data and the maximum fluctuation impact value at the same time, effectively avoiding the impact of climate change on the power transmission capacity of the wire to be laid, which leads to the situation where normal power supply cannot be provided in the planned area. Exemplarily, the rated power transmission performance can be determined by collecting the specifications, materials, resistivity, permittivity and other basic parameters of the wire to be laid (for example, it can be a cable), obtaining historical climate data of the area where the cable is located, recording the actual power transmission performance of the cable under different climatic conditions, and calculating the absolute difference between the actual power transmission performance and the rated power transmission performance, which is the degree of influence of the historical climate on the cable, that is, the error value, that is, the maximum fluctuation impact value. The historical climate association unit 44 is also electrically connected to the load comparison unit 41. The historical climate association unit 44 can transmit the determined maximum fluctuation impact value to the load comparison unit 41. The load comparison unit 41 can also compare the sum of the predicted power load data and the maximum fluctuation impact value with the maximum load data of the various types of wires to be laid. The sum of the predicted power load data and the maximum fluctuation impact value can also be understood as the maximum power load of the planned area under the premise of considering climate change. In addition, the load comparison unit 41 is electrically connected to the wire type determination unit 42. The wire type determination unit 42 can also compare the sum of the predicted power load data and the maximum fluctuation impact value with the maximum load data of the various types of wires to be laid, and determine the type of wire to be laid corresponding to the main path if the difference between the maximum load data and the sum of the predicted power load data and the maximum fluctuation impact value satisfies the second difference range.In other words, only when the maximum load-bearing data of the wire to be laid is greater than the sum of the predicted power load data and the maximum fluctuation impact value, can this type of wire to be laid be used as the type of wire to be laid corresponding to the main path. That is, according to the predicted power load data, the wire to be laid that meets the standards is selected as the wire to be laid for the above-mentioned optimal path.

[0070] Optionally, Figure 3 FIG. 1 is a structural diagram of another line planning simulation system for a power distribution system provided by an embodiment of the present invention. Figure 3 As shown, the line planning simulation system also includes an auxiliary path simulation laying module 50; the data acquisition module 10 is electrically connected to the auxiliary path simulation laying module 50, and the data acquisition module 10 is also used to obtain the future migration direction and future migration area of ​​the user cluster in the area to be planned; the auxiliary path simulation laying module 50 is used to determine the auxiliary path of the distribution line corresponding to the future migration area according to the future migration direction and future migration area of ​​the user cluster in the area to be planned, and simulate the laying along the auxiliary path; wherein the auxiliary path is connected to the main path; the wire type determination module 40 is also electrically connected to the auxiliary path simulation laying module 50, and the wire type determination module 40 is also used to determine the type of laying wire corresponding to the auxiliary path according to the preset additional power load data.

[0071] Specifically, the line planning simulation system includes a data acquisition module 10, a power load prediction module 20, a main path simulation laying module 30, a wire type determination module 40, and an auxiliary path simulation laying module 50. The data acquisition module 10 can also obtain the future migration direction and future migration area of ​​the user cluster in the area to be planned. For example, the future migration direction and future migration area of ​​the user cluster in the area to be planned can be obtained based on the recorded information of the relevant departments, so as to facilitate the subsequent determination of the specific laying of the distribution line path in the future migration area based on the future migration direction and future migration area of ​​the user cluster in the area to be planned. For example, before planning an area, it is necessary to draft a regional planning document. The regional planning document serves as a strategy document, and the specific analysis and determination of the future migration direction and future migration area of ​​the user cluster can be fully realized from the regional planning document. The auxiliary path simulation laying module 50 is electrically connected to the data acquisition module 10. The data acquisition module 10 can transmit the acquired future migration directions and future migration areas of the user clusters in the planned area to the auxiliary path simulation laying module 50. Based on the future migration directions and future migration areas of the user clusters in the planned area, the auxiliary path simulation laying module 50 can determine the auxiliary path of the distribution line corresponding to the future migration area and simulate laying the power line along the auxiliary path. The auxiliary path is connected to the primary path. It will be understood that this auxiliary path can distribute power to each user in the future migration area and ensure normal power supply to each user in the planned area and the future migration area. For example, the entire future migration area can be understood as a node power supply area, and the backup node corresponding to the node power supply area can be determined based on the user distribution in the future migration area (that is, the transit node. These two names are only related to the area to which they belong, and essentially have the same meaning). That is, the future migration area is used as the node power supply area, and its center of gravity is used as the transit node, i.e., the backup node, of the corresponding node power supply area. The optimal backup laying path between the main path and the backup node is obtained as the auxiliary path of the distribution line corresponding to the future migration area.

[0072] The auxiliary path simulation laying module 50 is also electrically connected to the wire type determination module 40. The wire type determination module 40 can then receive the auxiliary path of the distribution line corresponding to the future migration area transmitted by the auxiliary path simulation laying module 50. Furthermore, the wire type determination module 40 can also analyze and process the preset additional power load data and select the type of laying wire corresponding to the auxiliary path to ensure that the load carrying capacity of the selected laying wire type is greater than or equal to the preset additional power load data. In this way, during the normal use of the laying wire, the normal power demand of each user in the future migration area within the target safe working period is further guaranteed. For example, the preset additional power load data can be understood as the maximum power load of the future migration area. For example, the future migration direction and area of ​​a user cluster can be determined by reference to the construction and development plan for the planned area, i.e., the regional plan. Specifically, based on the construction and development plan, the power load of the corresponding future migration area can be estimated, i.e., preset additional power load data. The load-bearing capacity of the auxiliary path should meet the requirements of this preset additional power load data. In other words, the load-bearing capacity of the auxiliary path should exceed the requirements of this preset additional power load data to ensure the normal power supply needs of each user in the future migration area. In this way, the configuration of the auxiliary path simulation laying module 50 introduces considerations for user cluster migration and changes in the planned area, as well as for future development in the planned area, providing a more comprehensive consideration, further ensuring normal power supply for users in the planned area and the future migration area within the target safe working period.

[0073] Optionally, continue to refer to Figure 3 The line planning simulation system also includes a wire carrying capacity determination module 60; the wire carrying capacity determination module 60 is electrically connected to the wire type determination module 40, and the wire carrying capacity determination module 60 is used to determine the sum of the wire carrying capacities in the to-be-planned area and the future migration area based on the carrying capacity of the type of laid wire corresponding to the main path, the allocation weight of the type of laid wire corresponding to the main path, the carrying capacity of the type of laid wire corresponding to the auxiliary path, and the allocation weight of the type of laid wire corresponding to the auxiliary path.

[0074] Specifically, the wire carrying capacity determination module 60 is electrically connected to the wire type determination module 40, and the wire type determination module 40 can transmit the type of laid wire corresponding to the main path and the type of laid wire corresponding to the auxiliary path to the wire carrying capacity determination module 60. The wire carrying capacity determination module 60 can determine the sum of the wire carrying capacities in the to-be-planned area and the future migration area based on the carrying capacity of the type of laid wire corresponding to the main path, the allocation weight of the type of laid wire corresponding to the main path, the carrying capacity of the type of laid wire corresponding to the auxiliary path, and the allocation weight of the type of laid wire corresponding to the auxiliary path. It should be noted that this embodiment determines the predicted power load required for laying wires corresponding to the auxiliary path as one of the feasible solutions. The average value of the current user's power load is used as a reference for the single-household load. Combined with the planning of the regional planning document, the number of households to be migrated is determined. The product of the number of households and the single-household load reference is the predicted value of the predicted power load required for the standby node, that is, the preset additional power load data. The preset additional power load data is used as the maximum power load required for laying wires corresponding to the auxiliary path, and the type of wire that meets the maximum power load is selected. In this process, a type of wire that can just carry the maximum power load (that is, the preset additional power load data) can be selected, further avoiding the waste of resources. Exemplarily, the wire carrying capacity is measured in kilowatts or megawatts.

[0075] Furthermore, the wire carrying capacity determination module 60 can determine the sum C of the wire carrying capacities in the area to be planned and the future migration area according to the calculation formula C=W1×L1+W2×L2; wherein L1 represents the carrying capacity of the type of laying wire corresponding to the main path, W1 represents the allocation weight of the type of laying wire corresponding to the main path, L2 represents the carrying capacity of the type of laying wire corresponding to the auxiliary path, and W2 represents the allocation weight of the type of laying wire corresponding to the auxiliary path. In this way, after calculating the predicted power load required for laying wires corresponding to the best backup laying path (that is, the auxiliary path), and the minimum future carrying wire available for the predicted power load (the wire that can just carry the maximum power load (that is, the preset additional power load data)), the weight of the type of laying wire is optimized again to obtain the final type of laying wire used in the main path. In this way, a more comprehensive development consideration of the area to be planned is achieved, and normal power supply to the area to be planned can be achieved within the target safe working period.

[0076] Based on the same inventive concept, an embodiment of the present invention further provides a line planning simulation method for a power distribution system. Figure 4 1 is a flow chart of a line planning simulation method for a power distribution system provided by an embodiment of the present invention. The line planning simulation method is applied to a line planning simulation system for a power distribution system provided by any one of the embodiments of the present invention. Figure 4 As shown, the route planning simulation method includes:

[0077] S110 , obtaining the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate in the area to be planned, and the economic growth rate in the area to be planned.

[0078] Specifically, continue to refer to Figure 1 , the data acquisition module 10 can obtain the user distribution in the area to be planned, the historical electricity load data of each user in the area to be planned, the population growth rate in the area to be planned and the economic growth rate in the area to be planned. For example, the data acquisition module 10 can obtain the user distribution in the area to be planned, the historical electricity load data of each user, the population growth rate and the economic growth rate in the area to be planned on a yearly or monthly basis. For example, a two-dimensional coordinate system or a three-dimensional coordinate system can be established in the area to be planned, and the distribution of each user in the area to be planned can be determined in the form of coordinates, so as to facilitate the subsequent determination of the specific path of the distribution line according to the distribution of each user in the area to be planned. For example, the historical electricity load data of each user in the area to be planned can be obtained by means of electricity meter records, field visits and inquiries, etc. In addition, it should be noted that the sum of the historical electricity load data corresponding to each user in the area to be planned is the historical electricity load data of the entire area to be planned. For example, the population growth rate and economic growth rate of the planned area can be obtained based on the recorded information of the relevant departments, so that the predicted future electricity load data of the planned area can be determined based on the historical electricity load data, population growth rate, and economic growth rate of the entire planned area. This embodiment is only an example and is not limiting.

[0079] S120 , determining a main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and performing simulated laying along the main path.

[0080] Specifically, continue to refer to Figure 1 The data acquisition module 10 is electrically connected to the main path simulation laying module 30. The data acquisition module 10 can transmit the acquired user distribution information and historical power load data of each user in the planned area to the main path simulation laying module 30. The main path simulation laying module 30 can analyze and process the received user distribution information and historical power load data of each user in the planned area, determine the main path of the distribution line corresponding to the planned area, and simulate laying the distribution line along the main path. It can be understood that this main path can be used to distribute power to each user in the planned area, ensuring normal power supply to each user in the planned area.

[0081] S130 , determining the predicted power load data of the area to be planned within the target safe working period based on the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned.

[0082] Specifically, continue to refer to Figure 1 The data acquisition module 10 is also electrically connected to the power load forecasting module 20. The data acquisition module 10 can transmit the acquired historical power load data, population growth rate, and economic growth rate of each user in the planned area to the power load forecasting module 20. The power load forecasting module 20 can analyze and process the received historical power load data, population growth rate, and economic growth rate of each user in the planned area to determine the predicted power load data for the planned area within the target safe operating period. It will be understood that this predicted power load data can ensure the normal power demand of each user in the planned area within the target safe operating period.

[0083] It should be noted that S120 is a step for determining the main path of the distribution line corresponding to the area to be planned, and S130 is a step for determining the predicted power load data of the area to be planned within the target safe working period. In this embodiment, the order of S120 and S130 is only an example and is not limited. For example, S120 can be executed first and then S130, or S130 can be executed first and then S120, or S120 and S130 can be executed at the same time.

[0084] S140: Determine the type of wires to be laid corresponding to the main path based at least on the predicted power load data.

[0085] Specifically, continue to refer to Figure 1 The wire type determination module 40 is electrically connected to the power load prediction module 20 and the main path simulation laying module 30, respectively. The wire type determination module 40 can receive the predicted power load data of the planned area within the target safe working period transmitted by the power load prediction module 20, and the main path of the distribution line corresponding to the planned area transmitted by the main path simulation laying module 30. The wire type determination module 40 can then analyze and process the predicted power load data and select the type of laying wire corresponding to the main path to ensure that the load carrying capacity of the selected laying wire type is greater than or equal to the predicted power load data. In this way, during the normal use of the laying wire, the normal power demand of each user in the planned area within the target safe working period is further guaranteed. In this way, after determining the main path of the distribution line corresponding to the simulated laying and the type of laying wire corresponding to the main path, the subsequent actual construction process can be carried out. This embodiment effectively improves construction efficiency and ensures the power demand of the planned area.

[0086] According to the technical solution in the embodiment of the present invention, the line planning simulation method first obtains the user distribution in the area to be planned, the historical electricity load data of each user in the area to be planned, the population growth rate of the area to be planned and the economic growth rate of the area to be planned, and then determines the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical electricity load data of each user in the area to be planned, and simulates the laying of the line along the main path. Thereafter, based on the historical electricity load data of each user in the area to be planned, the population growth rate of the area to be planned and the economic growth rate of the area to be planned, determines the predicted electricity load data of the area to be planned within the target safe working period, and finally determines the type of laying wire corresponding to the main path based at least on the predicted electricity load data. Using the above method, the data acquisition module is used to obtain historical information and user information of the area to be planned, the main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned, the power load prediction module is used to predict the predicted power load data of the area to be planned within the target safe working period, and the wire type determination module is used to determine the type of laying wire corresponding to the main path. In this way, the historical data is combined to predict the future power load required, the carrying capacity of the laying wire is effectively judged, and then the type of laying wire that meets the carrying capacity is selected. While ensuring normal power supply in the area to be planned, the laying cost of the wire is effectively reduced, and the waste of resources is avoided, which provides convenience for the path simulation of the distribution line in the area to be planned.

[0087] Note that the above are only preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments, combinations, and substitutions are possible for those skilled in the art without departing from the scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present invention. The scope of the present invention is determined by the scope of the appended claims.

Claims

1. A line planning simulation system for a power distribution system, characterized in that: It includes data acquisition module, power load prediction module, main path simulation laying module and wire type determination module; The data acquisition module is electrically connected to the power load prediction module and the main path simulation paving module respectively, and is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned; The main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned according to the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and simulate laying along the main path; The power load forecasting module is used to determine the predicted power load data of the area to be planned within the target safe working period based on the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned; The wire type determination module is electrically connected to the power load prediction module and the main path simulation laying module respectively, and is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data; Wherein, the power load forecasting module includes a regional historical power consumption determination unit and a power load forecasting unit; The data acquisition module is electrically connected to the regional historical electricity consumption determination unit and the electricity load prediction unit respectively, and the regional historical electricity consumption determination unit is used to determine the historical electricity load data of the entire area to be planned based on the historical electricity load data of each user in the area to be planned; The power load prediction unit is also electrically connected to the regional historical power consumption determination unit and the wire type determination module respectively. The power load prediction unit is used to calculate the power load according to the formula , determine the predicted power load data L of the planned area within the target safe working period t t Wherein, L0 represents the historical power load data of the entire area to be planned, G p Indicates the population growth rate of the area to be planned, G e represents the economic growth rate of the area to be planned, and α represents the influence weight of the population growth rate of the area to be planned on the electricity load.

2. The route planning simulation system according to claim 1, characterized in that: The data collection module includes a user distribution collection unit, a user history electricity consumption collection unit, a population growth rate collection unit and an economic growth rate collection unit; The user distribution acquisition unit is electrically connected to the main path simulation laying module, and the user distribution acquisition unit is used to obtain the user distribution situation in the area to be planned; The user history electricity consumption collection unit is electrically connected to the electricity load prediction module and the main path simulation laying module respectively, and the user history electricity consumption collection unit is used to obtain the historical electricity load data of each user in the area to be planned; The population growth rate acquisition unit is electrically connected to the power load forecasting module, and the population growth rate acquisition unit is used to obtain the population growth rate of the area to be planned; The economic growth rate acquisition unit is electrically connected to the power load forecasting module, and the economic growth rate acquisition unit is used to obtain the economic growth rate of the area to be planned.

3. The route planning simulation system according to claim 1, characterized in that: The main path simulation laying module includes a node power supply area division unit, a transfer node determination unit and a main path simulation laying unit; The node power supply area division unit is electrically connected to the data acquisition module and the transit node determination unit, respectively, and is configured to divide the area to be planned into a plurality of node power supply areas according to a preset power load threshold based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned; wherein the difference between the overall historical power load data of each node power supply area and the preset power load threshold satisfies a first difference range; The transfer node determination unit is used to determine the transfer node corresponding to each node power supply area according to the user distribution in each node power supply area; The main path simulation laying unit is electrically connected to the transfer node determination unit and the wire type determination module respectively. The main path simulation laying unit is used to simulate all the transfer nodes to be connected in sequence, determine the main path of the distribution line corresponding to the area to be planned, and simulate laying along the main path.

4. The route planning simulation system according to claim 3, characterized in that: The main path simulation laying unit includes a simulation connection distance acquisition subunit, a simulation connection distance comparison subunit and a main path simulation laying subunit; The simulated connection distance acquisition subunit is electrically connected to the transfer node determination unit and the simulated connection distance comparison subunit respectively, and the simulated connection distance acquisition subunit is used to simulate all the transfer nodes to be connected in sequence, and obtain the distances of the simulated connection paths corresponding to multiple simulated connections; The simulated connection distance comparison subunit is used to compare the distances of the simulated connection paths corresponding to multiple simulated connections, and define the simulated connection path corresponding to the minimum distance as the main path of the distribution line corresponding to the area to be planned; The main path simulation laying subunit is electrically connected to the simulated connection distance comparison subunit and the wire type determination module respectively, and the main path simulation laying subunit is used to perform simulated laying along the main path according to the main path of the distribution line corresponding to the area to be planned.

5. The route planning simulation system according to claim 1, characterized in that: The wire type determination module includes a load comparison unit and a wire type determination unit; The load comparison unit is electrically connected to the wire type determination unit and the power load prediction module, and is used to compare the predicted power load data with the maximum load data of multiple types of wires to be laid; The wire type determination unit is also electrically connected to the main path simulation laying module, and the wire type determination unit is used to determine the type of wire to be laid corresponding to the second difference range that satisfies the difference between the maximum bearing load data and the predicted power load data as the type of laying wire corresponding to the main path.

6. The route planning simulation system according to claim 5, characterized in that: The wire type determination module further includes a historical climate acquisition unit and a historical climate association unit; The historical climate acquisition unit is used to acquire historical climate data of the area to be planned; The historical climate association unit is electrically connected to the historical climate acquisition unit and the load comparison unit, respectively, and is used to determine, based on the historical climate data of the area to be planned, a maximum fluctuation impact value of the historical climate data on the maximum load data of the wire to be laid; The load comparison unit is further configured to compare the sum of the predicted power load data and the maximum fluctuation impact value with the maximum load data of multiple types of wires to be laid; The wire type determination unit is further used to determine the type of wire to be laid corresponding to the main path, if the difference between the maximum carrying load data and the sum of the predicted power load data and the maximum fluctuation impact value satisfies the second difference range.

7. The route planning simulation system according to claim 1, characterized in that: It also includes auxiliary path simulation paving module; The data acquisition module is electrically connected to the auxiliary path simulation laying module, and the data acquisition module is further used to obtain the future migration direction and future migration area of ​​the user cluster in the area to be planned; The auxiliary path simulation laying module is used to determine the auxiliary path of the distribution line corresponding to the future migration area according to the future migration direction and future migration area of ​​the user cluster in the area to be planned, and simulate laying along the auxiliary path; wherein the auxiliary path is connected to the main path; The wire type determination module is also electrically connected to the auxiliary path simulation laying module, and the wire type determination module is further used to determine the type of laying wire corresponding to the auxiliary path according to preset additional power load data.

8. The route planning simulation system according to claim 7, characterized in that: The line planning simulation system also includes a wire load capacity determination module; The wire carrying capacity determination module is electrically connected to the wire type determination module, and the wire carrying capacity determination module is used to determine the sum of the wire carrying capacities in the area to be planned and the future migration area based on the carrying capacity of the type of laid wire corresponding to the main path, the allocation weight of the type of laid wire corresponding to the main path, the carrying capacity of the type of laid wire corresponding to the auxiliary path, and the allocation weight of the type of laid wire corresponding to the auxiliary path.

9. A line planning simulation method for a power distribution system, characterized in that: A line planning simulation system for a power distribution system according to any one of claims 1 to 8, wherein the line planning simulation method comprises: Obtaining user distribution in the area to be planned, historical power load data of each user in the area to be planned, population growth rate of the area to be planned, and economic growth rate of the area to be planned; Determine the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and perform simulated laying along the main path; Determining predicted power load data for the area to be planned within a target safe working period based on historical power load data of each user in the area to be planned, a population growth rate of the area to be planned, and an economic growth rate of the area to be planned; The type of laid wire corresponding to the main path is determined based on at least the predicted power load data.

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