A distribution line planning method, system, intelligent terminal and storage medium

Abstract

The present application relates to the technical field of distribution network planning, and in particular to a distribution line planning method, system, intelligent terminal and storage medium, aiming to solve the defect that the existing technology has that when the distribution line is planned, the power resource allocation is uniform and unrealistic, resulting in waste or insufficient power allocation. The technical solution is to pre-establish a power geographic information system; obtain the target location information of the distribution line to be planned, and query it; obtain a number of pre-selected distribution lines; obtain basic power element information from the power geographic information system; obtain the power consumption prediction model of the target location of the distribution line to be planned, and filter out the pre-selected distribution lines that cannot support the power consumption prediction model of the target location; combine the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, and obtain the final distribution lines according to the complementarity of the pre-selected distribution lines. The present application has the effect of optimizing the configuration of power resources and improving the power utilization rate of the distribution network.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network planning, and in particular to a distribution line planning method, system, intelligent terminal and storage medium. Background Art

[0002] Distribution line planning, also known as power grid planning, is based on load forecasting and power supply planning. Power grid planning determines when, where and what type of bookstore lines and the number of loops to be built to achieve the required transmission capacity within the planning period. The core content of distribution line planning is: the optimization process of the location and capacity of substations, the path and number of feeders, the location and number of section switches, and the network wiring method. Specifically, under the constraints of substation capacity, voltage drop, network structure and reliability, the purpose of optimizing distribution line planning is achieved by reducing the installation costs of new equipment, new equipment and new lines, reducing the expansion costs of existing equipment and lines, reducing operation and maintenance costs and improving system reliability.

[0003] Scientific and reasonable grid planning can guide grid construction, reasonably arrange grid construction projects, construction timing, capital investment, meet the national economy's demand for electricity, ensure the safety, stability and economic operation of the grid, improve the quality of grid planning, and is very important for compiling an ideal grid plan that is reasonable, forward-looking and feasible.

[0004] The common distribution line planning method at present is to seek an optimal wiring plan that can meet the future user capacity and power quality after the substation site selection and capacity determination work is completed, based on the analysis of the current status of the power grid and the prediction of future load distribution.

[0005] Regarding the above-mentioned related technologies, the inventors believe that there is a defect that when the distribution line is planned, the power resources are evenly allocated. However, when the power usage has peaks, flats and valleys in the actual use process, it leads to waste or insufficient power allocation, which is not conducive to the optimal use of power resources. Summary of the invention

[0006] In order to optimize the allocation of power resources and improve the power utilization rate of the distribution network, the present application provides a distribution line planning method, system, intelligent terminal and storage medium.

[0007] In a first aspect, the present application provides a distribution line planning method, which adopts the following technical solution:

[0008] A distribution line planning method, comprising:

[0009] Establishing a power geographic information system in advance, wherein the power geographic information system collects relevant element information of distribution lines;

[0010] Obtain the geographic information of the target location of the distribution line to be planned, and perform query and matching in the power geographic information system;

[0011] The power geographic information system obtains several pre-selected distribution lines through the matching relationship between the geographic information of the target location and the power geographic information system;

[0012] Obtain basic power element information such as power supply points, transmission lines and substations included in several pre-selected distribution lines from the power geographic information system;

[0013] Obtain the power consumption forecast model of the target location of the distribution line to be planned, compare the power consumption forecast model with the basic power element information of the pre-selected distribution lines, and screen out the pre-selected distribution lines that cannot support the power consumption forecast model of the target location;

[0014] The power consumption models of the power sources, transmission lines and substations included in the remaining pre-selected distribution lines are obtained from the power geographic information system, and the power consumption prediction model of the target location is combined with the power consumption model in the pre-selected distribution lines to obtain the complementarity between the power consumption prediction model and the power consumption model. The pre-selected distribution lines are sorted according to their complementarity to obtain the final distribution lines.

[0015] By adopting the above technical solution, a power geographic information system that collects information on relevant elements of distribution lines is first established. After the user inquires about the line, the user inquires about the information in the power geographic information system according to the target location, and then compares and selects the inquired information with the relevant element information of the distribution line. Finally, the power consumption prediction model of the target location is compared with the power consumption model of the pre-selected distribution line to obtain the final line plan;

[0016] On the other hand, the establishment of a power geographic information system related to power equipment in advance facilitates the rapid call of information on the target location queried by the user, improves the efficiency of line planning, and saves planning time; when screening plans, first screen out the lines whose basic tolerance does not meet the power consumption of the target location, and then select them based on complementarity, which reduces the amount of calculation in distribution line planning, saves manpower and physical resources, and thus improves the work efficiency of distribution line planning.

[0017] Optionally, the relevant element information of the distribution line includes basic power element information of power supply points, transmission lines, and substations, and a power consumption model, wherein the basic power element information specifically includes:

[0018] The total power supply, existing load and power supply time model of the power point;

[0019] The length of the transmission line, the total power transmitted, and the transmission time model;

[0020] Total alternating power and transformation time model of the substation.

[0021] By adopting the above technical solution, the inherent basic hardware parameter information and dynamic usage information of the power supply points, transmission lines and substations in the distribution line are collected simultaneously, which improves the accuracy of information selection, avoids the situation where the planned distribution line does not meet the usage requirements, and improves the accuracy of distribution line selection.

[0022] Optionally, the electricity consumption model of the power geographic information specifically includes:

[0023] The power supply time model of the power supply point, the transmission time model of the transmission line, and the transformation time model of the substation;

[0024] The power supply time model, transmission time model and transformation time model are set to the relationship between the power supply amount and time of the power supply point, the relationship between the load and time of the power transmission line, and the relationship between the load and time of the transformer substation transformation.

[0025] By adopting the above technical solution, dynamic time models are established for various hardware in the distribution lines, which makes it easier for staff to summarize the load information of each facility, and then to plan the distribution lines according to the usage of power facilities, which is beneficial to improving the power allocation efficiency of the distribution lines and optimizing the uniformity of the line configuration.

[0026] Optionally, obtaining a power consumption forecast model of a target location of the power distribution line to be planned, comparing the power consumption forecast model with basic power element information of the pre-selected power distribution line, and screening out the pre-selected power distribution line that cannot support the power consumption forecast model of the target location also includes;

[0027] Obtain basic information such as the number and address, age distribution, and occupation distribution of residents at the target location of the planned distribution line, and predict the electricity consumption based on the number of residents; predict the electricity consumption time model of residents based on their age and occupation;

[0028] The address, power consumption and power consumption time models of the residents are combined to obtain the power consumption prediction model of the residents at the target location.

[0029] By adopting the above technical solution, comprehensive information of users is collected and a power consumption prediction model is established, which makes it easier for staff to select distribution lines based on the power consumption prediction model, making the planning of distribution lines more in line with actual usage, and facilitating the optimal configuration of electric energy in the distribution lines, thereby improving the distribution efficiency and utilization rate of electric energy.

[0030] Optionally, the power consumption forecast model is compared with basic power element information of the pre-selected distribution lines to screen out pre-selected distribution lines that cannot support the power consumption forecast model of the target location;

[0031] Among them, the basic power element information of the pre-selected distribution lines used for comparison with the power consumption prediction model all takes saturated values;

[0032] The saturation value refers to the power supply, transmission power and alternating power under the most saturated working conditions of the power source point, transmission line and substation.

[0033] By adopting the above technical scheme, the saturation value of the load in the distribution line is used as a reference value for comparison, which facilitates the calculation of the load of the distribution line, avoids the possibility of overloading the distribution line during use, reduces the possibility of failure of the distribution line during use, and improves the safety of the planned distribution line.

[0034] Optionally, the method further includes obtaining power consumption models of power supply points, transmission lines, substations, etc. included in the remaining pre-selected distribution lines from the power geographic information system, combining the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtaining the complementarity between the power consumption prediction model and the power consumption model, and sorting the pre-selected distribution lines according to their complementarity to obtain the final distribution lines:

[0035] After obtaining the final distribution line, the relevant element information of the distribution line in the power geographic information system is updated.

[0036] By adopting the above technical solution, the electric power geographic information system is updated in real time, which improves the accuracy of the information in the electric power geographic information system, reduces the possibility of the impact of new or reduced lines on the distribution line planning, and reduces the possibility of unfeasible lines appearing in the distribution line planning or missing better lines.

[0037] In a second aspect, the present application provides a distribution line planning system, comprising:

[0038] System establishment module: pre-establishing an electric power geographic information system, wherein the electric power geographic information system collects relevant element information of distribution lines;

[0039] Target query module: obtains the geographic information of the target location of the distribution line to be planned, and performs query matching in the power geographic information system;

[0040] Line pre-generation module: The power geographic information system obtains several pre-selected distribution lines through the matching relationship between the geographic information of the target location and the power geographic information system;

[0041] Line information acquisition module: obtains basic power element information such as power supply points, transmission lines and substations contained in several pre-selected distribution lines from the power geographic information system;

[0042] Screening module: obtain the power consumption forecast model of the target location of the distribution line to be planned, compare the power consumption forecast model with the basic power element information of the pre-selected distribution line, and screen out the pre-selected distribution lines that cannot support the power consumption forecast model of the target location;

[0043] Selection module: Obtain the power consumption models of the power sources, transmission lines, substations, etc. included in the remaining pre-selected distribution lines from the power geographic information system, combine the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtain the complementarity between the power consumption prediction model and the power consumption model, and sort the pre-selected distribution lines according to their complementarity to obtain the final distribution lines.

[0044] By adopting the above technical scheme, an electric power geographic information system that collects information on relevant elements of distribution lines is first established. After the user inquires about the line, the information is inquired in the electric power geographic information system according to the target location, and then the inquired information is compared and screened with the relevant element information of the distribution line. Finally, the power consumption prediction model of the target location is compared with the power consumption model of the pre-selected distribution line to obtain the final line plan, which improves the work efficiency of distribution line planning, optimizes the optimization degree of power distribution in the distribution line, and enhances the utilization efficiency of the distribution line.

[0045] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution:

[0046] An intelligent terminal, characterized in that it comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any of the above methods

[0047] By adopting the above technical solution, the processor in the smart terminal can implement the above distribution line planning method according to the relevant computer program stored in the memory, thereby providing users with intelligent and fast distribution line solutions, which is conducive to improving the excellent configuration of power resources and thus facilitating the improvement of the utilization rate of electric energy and distribution network infrastructure.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0049] A computer-readable storage medium includes a computer program that can be loaded by a processor and execute any of the above methods.

[0050] By adopting the above technical solution, the corresponding program can be stored, thereby providing users with efficient and convenient distribution line planning, which is conducive to improving the use effect and utilization rate of power infrastructure on the distribution network and facilitating the realization of green distribution effects.

[0051] In summary, the present application includes at least one of the following beneficial technical effects:

[0052] 1. First, establish an electric power geographic information system that collects information about the elements of distribution lines. After users query the lines, they query information in the electric power geographic information system according to the target location, and then compare and screen the queried information with the relevant element information of the distribution lines. Finally, compare the power consumption prediction model of the target location with the power consumption model of the pre-selected distribution lines to obtain the final line plan, which improves the work efficiency of distribution line planning, optimizes the optimization degree of power distribution in the distribution lines, and enhances the utilization efficiency of the distribution lines;

[0053] 2. Collect comprehensive information of users and establish a power consumption forecast model, so that the staff can select the distribution line according to the power consumption forecast model, so that the planning of the distribution line is more in line with the actual usage, which is conducive to the excellent configuration of the electric energy in the distribution line and improves the distribution efficiency and utilization rate of the electric energy;

[0054] 3. Real-time updating of the power geographic information system improves the accuracy of the information in the power geographic information system, reduces the possibility of the impact of new or reduced lines on the distribution line planning, and reduces the possibility of unfeasible lines or omission of better lines in the distribution line planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a flowchart of a distribution line planning method shown in an embodiment of the present application;

[0056] Figure 2 is an algorithm flow chart of a distribution line planning method shown in an embodiment of the present application;

[0057] Figure 3 It is a system block diagram of a distribution line planning method shown in an embodiment of the present application.

[0058] Explanation of the accompanying drawings: 1. System establishment module; 2. Target query module; 3. Line pre-generation module; 4. Line information acquisition module; 5. Screening module; 6. Selection module. DETAILED DESCRIPTION

[0059] The following is combined with Figure 1-3 This application is described in further detail.

[0060] Example:

[0061] The embodiments of the present application disclose a distribution line planning method, system, intelligent terminal and storage medium.

[0062] refer to Figure 1 , a distribution line planning method, comprising the following steps:

[0063] S100: pre-establishing an electric power geographic information system, wherein the electric power geographic information system collects relevant element information of distribution lines;

[0064] The relevant element information includes the full amount of information of different dimensions of different power facilities in the distribution line, including basic power element information based on the hardware conditions of the power equipment and the power consumption model based on the use of the power equipment;

[0065] Basic power element information mainly includes:

[0066] The maximum power supply of the power supply point; the layout range, length and maximum transmission power of the transmission line; the voltage level and maximum transformation power of the substation, etc.

[0067] The electricity consumption model mainly includes:

[0068] Power supply time model of power supply point: the power supply time model of power supply point in 24 hours a day;

[0069] Transmission time model of transmission line: the transmission power variation model of transmission line in 24 hours a day;

[0070] Transformation time model of substation: the variation model of alternating power of substation in 24 hours a day.

[0071] S200: Obtaining geographic information of a target location of a power distribution line to be planned, and performing query matching in a power geographic information system;

[0072] The geographic information of the target location is used to compare with the geographic information in the power geographic information system to obtain the coordinates of the target location in the power geographic information system, and the distribution line power facilities are retrieved within the circular range of the target location with the coordinates as the center. This improves the uniformity of the retrieved power infrastructure in terms of spatial distance and reduces the impact of spatial distance on line selection.

[0073] S300: The power geographic information system obtains a number of pre-selected distribution lines through a matching relationship between the geographic information of the target location and the power geographic information system;

[0074] The pre-selected distribution lines include all the power facilities required for complete electric energy transportation. The same power facility can be repeatedly selected and planned by different pre-selected distribution lines, which is convenient for expanding the number of optional options and improving the efficiency of distribution line planning results.

[0075] S400: acquiring basic power element information such as power supply points, transmission lines and substations included in a number of pre-selected distribution lines from a power geographic information system;

[0076] For the same power facility included in the same pre-selected distribution line, the minimum value of its basic power element information is taken. For example: when a pre-selected distribution line contains two transmission lines, namely transmission line A and transmission line B, the maximum transmission power of transmission line A is Y, the maximum transmission power of transmission line B is y and Y>y, then when the basic power element information of the pre-selected distribution line is screened, y is used as the basic power element information of the transmission lines of the pre-selected distribution line as a screening condition.

[0077] S500: Obtaining a power consumption prediction model of a target location of a distribution line to be planned, comparing the power consumption prediction model with basic power element information of pre-selected distribution lines, and filtering out pre-selected distribution lines that cannot support the power consumption prediction model of the target location;

[0078] On the one hand, the electricity consumption prediction model predicts the electricity consumption behavior of residents based on basic information such as the number of households, addresses, occupations and ages at the target location. Specifically, it predicts the time and distribution of household electricity consumption based on age and occupation, and predicts the spatial distribution of household electricity consumption based on their addresses. The time prediction of household electricity consumption facilitates the complementary allocation of power resources when planning distribution lines. For example, if the electricity consumption in area A is at its peak from 8:00 to 12:00 and the electricity consumption in area B is at its low point from 8:00 to 12:00, then the power facilities of area A and area B will be shared in the line planning, which can make the power facilities fully operational and optimize and fully utilize the allocation of power resources.

[0079] On the other hand, when there is one item in the basic power element information that does not satisfy the power consumption forecast model, the pre-selected distribution line is removed to reduce the possibility of failure of the distribution line.

[0080] S600: Obtain the power consumption models of the power sources, transmission lines, substations, etc. included in the remaining pre-selected distribution lines from the power geographic information system, combine the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtain the complementarity between the power consumption prediction model and the power consumption model, and obtain the final distribution lines according to the complementarity of the pre-selected distribution lines.

[0081] The degree of complementarity between the above-mentioned electricity consumption prediction model and the electricity consumption model is specifically as follows: subtract the maximum working tolerance in the basic power element information of the power facilities in the pre-selected distribution line from the maximum working power in a certain time period to obtain the remaining working capacity of the power facilities in the time period, and then compare the remaining working capacity of the power facilities with the electricity consumption prediction model of the target location, and use the ratio as the degree of complementarity to sort them and obtain the final distribution line.

[0082] Based on the above method, the present application also discloses a distribution line planning system, referring to Figure 3 ,include:

[0083] System establishment module 1: pre-establishing an electric power geographic information system, wherein the electric power geographic information system collects relevant element information of distribution lines;

[0084] Target query module 2: obtain the geographic information of the target location of the distribution line to be planned, and perform query matching in the power geographic information system;

[0085] Line pre-generation module 3: the power geographic information system obtains several pre-selected distribution lines through the matching relationship between the geographic information of the target location and the power geographic information system;

[0086] Line information acquisition module 4: obtain basic power element information such as power supply points, transmission lines and substations contained in several pre-selected distribution lines from the power geographic information system;

[0087] Screening module 5: obtaining the power consumption forecast model of the target location of the distribution line to be planned, comparing the power consumption forecast model with the basic power element information of the pre-selected distribution lines, and screening out the pre-selected distribution lines that cannot support the power consumption forecast model of the target location;

[0088] Selection module 6: Obtain the power consumption models of the power sources, transmission lines, substations, etc. included in the remaining pre-selected distribution lines from the power geographic information system, combine the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtain the complementarity between the power consumption prediction model and the power consumption model, and obtain the final distribution lines according to the complementarity of the pre-selected distribution lines.

[0089] The embodiment of the present application further discloses an intelligent terminal, which includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the distribution line planning method as described above.

[0090] An embodiment of the present application also discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute the distribution line planning method as described above. The computer program readable storage medium includes, for example: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0091] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit the protection scope of the application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A distribution line planning method, characterized in that: include Establishing a power geographic information system in advance, wherein the power geographic information system collects relevant element information of distribution lines; Obtain the geographic information of the target location of the distribution line to be planned, and perform query and matching in the power geographic information system; The power geographic information system obtains several pre-selected distribution lines through the matching relationship between the geographic information of the target location and the power geographic information system; Obtain basic power element information of power supply points, transmission lines and substations included in several pre-selected distribution lines from the power geographic information system; Obtain the power consumption forecast model of the target location of the distribution line to be planned, compare the power consumption forecast model with the basic power element information of the pre-selected distribution lines, and screen out the pre-selected distribution lines that cannot support the power consumption forecast model of the target location; Obtain the power consumption models of the power supply points, transmission lines and substations included in the remaining pre-selected distribution lines from the power geographic information system, combine the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtain the complementarity between the power consumption prediction model and the power consumption model, and obtain the final distribution lines according to the complementarity of the pre-selected distribution lines; The electricity consumption model of the power geographic information specifically includes: The power supply time model of the power supply point, the transmission time model of the transmission line, and the transformation time model of the substation; The power supply time model, power transmission time model and voltage transformation time model are set as the relationship between the power supply amount and time of the power supply point, the relationship between the load and time of the power transmission line, and the relationship between the load and time of the voltage transformation of the substation; Obtaining the power consumption forecast model of the target location of the distribution line to be planned, comparing the power consumption forecast model with the basic power element information of the pre-selected distribution line, and screening out the pre-selected distribution line that cannot support the power consumption forecast model of the target location also includes: Obtain the basic information of the number and address, age distribution and occupation distribution of the residents at the target location of the planned power distribution line, and predict the power consumption according to the number of residents; predict the electricity consumption time model of the residents according to their age and occupation; The address, power consumption and power consumption time models of the residents are combined to obtain the power consumption prediction model of the residents at the target location.

2. A distribution line planning method according to claim 1, characterized in that: The relevant element information of the distribution line includes the basic power element information of the power source point, transmission line, substation and the power consumption model, wherein the basic power element information specifically includes: The total power supply, existing load and power supply time model of the power point; The length of the transmission line, the total power transmitted, and the transmission time model; Total alternating power and transformation time model of the substation.

3. A distribution line planning method according to claim 1, characterized in that: The power consumption prediction model is compared with the basic power element information of the pre-selected distribution lines to screen out the pre-selected distribution lines that cannot support the power consumption prediction model of the target location; Among them, the basic power element information of the pre-selected distribution lines used for comparison with the power consumption prediction model all takes saturated values; The saturation value refers to the power supply, transmission power and alternating power under the most saturated working conditions of the power source point, transmission line and substation.

4. A distribution line planning method according to claim 1, characterized in that: The method further includes obtaining the power consumption models of the power supply points, transmission lines and substations included in the remaining pre-selected distribution lines from the power geographic information system, combining the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtaining the complementarity between the power consumption prediction model and the power consumption model, and sorting the pre-selected distribution lines according to the complementarity to obtain the final distribution lines. After obtaining the final distribution line, the relevant element information of the distribution line in the power geographic information system is updated.

5. A distribution line planning system, characterized in that: include: System establishment module (1): pre-establishing an electric power geographic information system, wherein the electric power geographic information system collects relevant element information of distribution lines; Target query module (2): obtains geographic information of the target location of the distribution line to be planned, and performs query matching in the power geographic information system; Line pre-generation module (3): the power geographic information system obtains a number of pre-selected distribution lines through the matching relationship between the geographic information of the target location and the power geographic information system; Line information acquisition module (4): obtains basic power element information of power supply points, transmission lines and substations included in a number of pre-selected distribution lines from the power geographic information system; Screening module (5): obtaining a power consumption forecast model of a target location of a distribution line to be planned, comparing the power consumption forecast model with basic power element information of pre-selected distribution lines, and screening out pre-selected distribution lines that cannot support the power consumption forecast model of the target location; Selection module (6): obtaining the power consumption models of the power supply points, transmission lines and substations included in the remaining pre-selected distribution lines from the power geographic information system, combining the power consumption prediction model of the target location with the power consumption model in the pre-selected distribution lines, obtaining the complementarity between the power consumption prediction model and the power consumption model, and obtaining the final distribution lines according to the complementarity of the pre-selected distribution lines; The electricity consumption model of the power geographic information specifically includes: The power supply time model of the power supply point, the transmission time model of the transmission line, and the transformation time model of the substation; The power supply time model, power transmission time model and voltage transformation time model are set as the relationship between the power supply amount and time of the power supply point, the relationship between the load and time of the power transmission line, and the relationship between the load and time of the voltage transformation of the substation; The screening module (5) further comprises, before obtaining the power consumption prediction model of the target location of the power distribution line to be planned, comparing the power consumption prediction model with the basic power element information of the pre-selected power distribution line, and screening out the pre-selected power distribution line that cannot support the power consumption prediction model of the target location: Obtain the basic information of the number and address, age distribution and occupation distribution of the residents at the target location of the planned power distribution line, and predict the power consumption according to the number of residents; predict the electricity consumption time model of the residents according to their age and occupation; The address, power consumption and power consumption time models of the residents are combined to obtain the power consumption prediction model of the residents at the target location.

6. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 4.

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