Method and device for planning and optimizing target network frame of power distribution network, storage medium and equipment

Abstract

The invention provides a method and a device for planning and optimizing a target network frame of a power distribution network, a storage medium and equipment. The method comprises the following steps: acquiring real-time operation data of the power distribution network in a target area; inputting the real-time operation data of the power distribution network of the target area into a target function to obtain an overall regulation and control target of the target area; and sending a region regulation target to each control sub-region according to the overall regulation target, so that each control sub-region regulates the planning of each target net rack in the control sub-region according to the region regulation target and the available equipment capacity in the sub-region. Through distribution of the grid optimization tasks in the adjustable and controllable range of the whole target area and each control sub-area, accurate adjustment and control of each target grid load transformation device are realized, and the power distribution network load of each grid in the target area is optimized, so that the power distribution network system loss is reduced, and the power distribution network load quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of distribution network planning, and in particular to a method, a device, a storage medium and equipment for optimizing distribution network target grid planning. Background Art

[0002] The medium and low voltage distribution network is generally constructed according to the needs of users, and its grid structure and power supply reliability lack standardized management and specific analysis. At present, each region has consciously formed a grid structure suitable for its own grid development needs based on the actual development of its own grid, the economic level of each region, grid planning ideas, power supply layout, load characteristics and operation habits, etc. However, due to the lack of clear goals and systematic research, it is easy to repeat the transformation and cause waste.

[0003] In the traditional planning method based on expected accidents, when a certain component exits the system, analytical tools (prediction, stability) can be used to determine whether it is overloaded or underloaded or other unacceptable reasons for failure. Although this method may be very labor-intensive, it only requires simple repeated calculations to complete, and can directly use standardized and serialized calculation modules, and divide the "reliability" problem into many small research parts, each of which is aimed at a certain component of the system. Therefore, the planning method based on expected accidents is very suitable for formulating operation plans, but this method has two very obvious disadvantages. First, if the planner is mainly concerned with reducing costs or limited budgets, then this planning method is not particularly effective. Second, although this accident-based planning method lists and solves every possible single or double equipment outage, when the equipment load rate (peak load / capacity, for high-voltage distribution lines and transformers) is higher than the normal level, the reliability level of the system level cannot be guaranteed because the method fails to consider the load transfer between levels.

[0004] After the target grid structure is generated, it is necessary to verify whether the target grid structure meets the reliability target, so reliability assessment is required. Due to the large number of equipment components, complex network structure and various operation modes in the distribution network, it brings great difficulties to the power supply reliability assessment work and is difficult to meet the actual application requirements of the project. At present, there are two main methods for calculating the power supply reliability index of the target area of ​​the distribution network: simulation method and analytical method. Among them, the simulation method is flexible and not limited by the scale of the system, but it is time-consuming and has low accuracy. This method is mainly used in the reliability assessment of the combined power generation and transmission system and the grid. The analytical method can be further divided into state space method and network method. The state space method described by the Markov model can better handle various complex situations, but when the system scale is large and the structure is complex, the method will become very complicated; the network method is the most popular method in the reliability analysis of the distribution network, such as the failure mode effect analysis method (FMEA) and the fault traversal method. Among them, the fault mode effect analysis method is the most traditional distribution network power supply reliability assessment method. This method has a simple and clear principle and an accurate model. However, its calculation amount increases exponentially with the increase in the number of components. Faced with large-scale and complex distribution networks, this method will also face an insurmountable "computational disaster", so it needs to be improved.

[0005] Through the above analysis, the existing distribution network target grid planning cannot achieve dynamic adjustment according to needs, and the utilization rate is low. It is limited to the adjustment of a single grid and cannot fully optimize the control of the power grid when multiple grids are put into operation. Summary of the invention

[0006] Based on this, the present invention provides a method, device, storage medium and equipment for optimizing the distribution network target grid planning, which allocates grid optimization tasks to the controllable range of the overall target area and each control sub-area, realizes precise control of each target grid load transformer equipment, and optimizes the distribution network load of each grid in the target area, thereby reducing the distribution network system loss and improving the distribution network load quality.

[0007] In a first aspect, a method for optimizing distribution network target grid planning includes:

[0008] Obtain real-time operation data of the distribution network in the target area;

[0009] Inputting the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area;

[0010] The regional control target is sent to each control sub-area according to the overall control target, so that each control sub-area adjusts the planning of each target grid in the control sub-area according to the regional adjustment target and the available equipment capacity in the sub-area.

[0011] The real-time operation data of the distribution network in the target area includes the real-time system network loss data of the distribution network in the target area, the machine-side load data of each power generation equipment in the distribution network in the target area, and the control compensation capacity.

[0012] Furthermore, the real-time operation data of the distribution network in the target area is input into the objective function to obtain the investment cost of the overall distribution network target grid in the target area, which includes:

[0013] Performing status evaluation on real-time operation data of the distribution network in the target area;

[0014] If the state assessment result is credible, the real-time operation data of the distribution network in the target area is input into the objective function to obtain the optimal control parameters;

[0015] If the optimal control parameters converge, the overall control target of the target area is obtained according to the optimal control parameters.

[0016] Furthermore, the method for optimizing the distribution network target grid planning also includes:

[0017] If the optimal control parameters do not converge, the overall control target of the target area is obtained according to the set control target parameters.

[0018] Furthermore, the specific expression of the objective function is:

[0019]

[0020] Where P loss is the network loss of the distribution network, λ1 is the first penalty function coefficient, λ2 is the second penalty function coefficient, ΔV i 2 is the load deviation of the i-th distribution network in the target area, is the compensation capacity deviation of the j-th distribution network regulation in the target area, n D is the number of distribution network frames in the target area, n P is the number of distribution network gateways in the target area.

[0021] Furthermore, sending the regional control target to each control sub-region according to the overall control target is specifically:

[0022] The regional control target of each control sub-area is obtained according to the overall control target and the available equipment capacity in each control sub-area.

[0023] Furthermore, each control sub-region adjusts the planning of each target grid in the control sub-region according to the region adjustment target and the available equipment capacity in the sub-region, specifically:

[0024] Determine the target quantity of each target grid in the sub-region according to the region adjustment target of the control sub-region and the capacity of each available equipment in the sub-region;

[0025] According to the target quantity of each target grid and the real-time output energy of the load transformer equipment in the target grid, the load of the load transformer equipment connected to the target grid and the output capacity of the target grid gateway are adjusted.

[0026] In a second aspect, the present invention further provides a device for optimizing distribution network target grid planning, comprising:

[0027] A data acquisition module is used to obtain real-time operation data of the distribution network in the target area;

[0028] An optimization analysis module, used to input the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area;

[0029] The grid planning adjustment module is used to send regional control targets to each control sub-area according to the overall control target, so that each control sub-area adjusts the planning of each target grid in the control sub-area according to the regional adjustment target and the available equipment capacity in the sub-area.

[0030] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods for optimizing distribution network target grid planning in the first aspect.

[0031] In a fourth aspect, the present invention further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it executes any one of the methods for optimizing distribution network target grid planning in the first aspect.

[0032] The beneficial effects of adopting the above technical solution are as follows: the present invention uses the target grid load transformer equipment as the main load control means of the regional distribution network, cooperates with the precise control of the overall control target, improves the load control capability of the target regional distribution network, reduces system losses and improves the load quality of the power grid. Further, the target area is subdivided into multiple control sub-areas, and the constraints of the available equipment capacity in the control sub-areas are considered to obtain the planning schemes of each target grid of the distribution network, which can improve the accuracy of the planning of the target grid of the distribution network, so as to improve the reliability of power supply and maximize the benefits of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art are briefly introduced below.

[0034] Figure 1A schematic diagram of a method for optimizing the electric field of a photovoltaic panel in one embodiment of the present application;

[0035] Figure 2 A schematic diagram of a device for optimizing the electric field of a photovoltaic panel in one embodiment of the present application. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In order to explain the present invention in more detail, the method, device, storage medium and equipment for distribution network target grid planning optimization provided by the present invention are specifically described below in combination with the drawings.

[0037] Unless otherwise defined, the technical terms or scientific terms used in the disclosure of this application should be understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, similar words such as "one", "one" or "the" do not indicate a quantitative limit, but indicate that there is at least one. Similar words such as "include" or "include" mean that the elements or objects appearing in front of the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Similar words such as "connect" or "connected" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship can also change accordingly.

[0038] The grid planning of the distribution network is based on load forecasting and power supply planning. Specifically, it is to determine when and where to build what type of lines and the number of circuits to achieve the required transmission capacity within the planning period, and to make the system cost the lowest while meeting various technical indicators. The grid planning of the distribution network often determines the specific content based on the problems existing in the development of a specific power grid, including determining the transmission method, selecting the voltage of the distribution network, determining the layout and scale of the substation, and determining the network structure of the distribution network. The focus of the grid planning of the distribution network is to plan the main grid. How to strengthen the main grid structure is an important part of the grid planning.

[0039] In this regard, the present invention provides a method for optimizing the target grid planning of a distribution network. By combining the system network loss, the load deviation of each grid and the control compensation capacity deviation for calculation, the transformer equipment and capacitor of the distribution network grid are adjusted or the grid level is adjusted. The planning of the distribution network grid is adjusted to achieve efficient operation of the power transmission of the distribution network and reduce unnecessary losses. This method is applied to terminal equipment as an example for explanation. Figure 1 A schematic diagram of a distribution network target grid planning optimization method is shown.

[0040] The embodiment of the present application provides an application scenario of the method for optimizing the target grid planning of a distribution network, and the application scenario includes the terminal device provided in the embodiment, and the terminal device includes but is not limited to a smart phone and a computer device, wherein the computer device can be at least one of a desktop computer, a portable computer, a laptop computer, a mainframe computer, a tablet computer, etc. The user operates the terminal device to obtain the optimized target grid planning of the distribution network. For the specific process, please refer to the embodiment of the method for optimizing the target grid planning of the distribution network.

[0041] Step S101, obtaining real-time operation data of the distribution network in the target area.

[0042] The real-time operation data of the distribution network in the target area includes the real-time system network loss data of the distribution network in the target area, the machine-side load data of each power generation equipment in the distribution network in the target area, and the regulation and compensation capacity of the distribution network grid.

[0043] The real-time system network loss data of the distribution network in the target area refers to the electric energy consumed or lost due to various problems within the power network during the process of transmitting electricity from power generation equipment to end users, mainly including resistance loss, iron loss, reactive loss and harmonic loss; resistance loss is the heat loss caused by the resistance of the conductor when current flows through wires or cables; iron loss is the loss caused by the hysteresis and eddy current effects of the iron core in the distribution network transformer equipment; reactive loss is the energy loss caused by reactive power in the distribution network; harmonic loss is the additional loss caused by harmonic current in the distribution network.

[0044] The load at the end of each power generation equipment in the distribution network of the target area refers to the load at the outlet of the power generation equipment, that is, the load that the power generated by the power generation equipment bears after leaving the generator and before entering the transformer equipment or distribution network. The power generation equipment here is usually a generator, and the load includes any load connected to the generator export bus, such as the power consumption of the generator itself, directly connected industrial loads, or local loads initially distributed through substations.

[0045] The regulation and compensation capacity of the distribution network framework in the target area is the capacity that requires additional compensation to make up for the investment costs in the construction, upgrading or maintenance of the distribution network, including adding or upgrading equipment in the distribution network framework to cope with load growth and improve power supply quality and reliability, such as transformers, reactive compensation equipment or lines. The capacity of the newly added or upgraded equipment is the regulation and compensation capacity of the distribution network framework in the target area.

[0046] Step S102: input the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area.

[0047] Specifically, step S102 inputs the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area, including the following steps:

[0048] Step S201: performing status evaluation on real-time operation data of the distribution network in the target area.

[0049] Among them, the purpose of status evaluation of the real-time operation data of the distribution network is mainly to exclude abnormal data. In this embodiment, preprocessing of residual calculation of the real-time operation data of the distribution network can be adopted. If the residual of the real-time operation data is greater than the preset value, it means that the real-time operation data of the distribution network is abnormal.

[0050] Step S202: If the state assessment result is credible, the real-time operation data of the distribution network in the target area is input into the objective function to obtain the optimal control parameters.

[0051] Among them, the specific expression of the objective function is:

[0052]

[0053] P loss is the network loss of the distribution network, λ1 is the first penalty function coefficient, λ2 is the second penalty function coefficient,

[0054] ΔV i 2 is the load deviation of the i-th distribution network in the target area. The load deviation refers to the difference between the sum of power demands generated by various users in the distribution network and the sum of power that can be provided by the power generation equipment. The load deviation of the distribution network can be represented by the machine-end load of all power generation equipment within the distribution network. is the compensation capacity deviation of the j-th distribution network regulation in the target area, n D is the number of distribution network frames in the target area, n P is the number of distribution network gateways in the target area.

[0055] Furthermore, based on the above objective function, in order to improve the power transmission efficiency of the distribution network in the target area, the distribution network grid planning is optimized, mainly through three adjustments, namely: adjusting the line planning of the distribution network grid and the reactive power loss of the equipment, adjusting the machine-end load of each power generation equipment in the distribution network and the regulation and compensation capacity of the distribution network grid.

[0056] In addition, since there is a certain adjustment range for the system network loss of the distribution network, the machine-side load of the power generation equipment, and the control and compensation capacity, the adjustment range of the system network loss of the distribution network, the machine-side load of the power generation equipment, and the control and compensation capacity is specifically manifested as the following constraints:

[0057] Step S203: If the optimal control parameters converge, the overall control target of the target area is obtained according to the optimal control parameters.

[0058] Step S204: if the optimal control parameters do not converge, the overall control target of the target area is obtained according to the set control target parameters.

[0059] Step S103, sending a regional control target to each control sub-region according to the overall control target, so that each control sub-region adjusts the planning of each target grid in the control sub-region according to the regional adjustment target and the available equipment capacity in the sub-region.

[0060] Specifically, the regional control target of each control sub-area is obtained according to the overall control target and the available equipment capacity in each control sub-area.

[0061] It should be noted that, in this embodiment, the target area can be divided into several power units, and the power units within the same load level threshold range are defined as the same control sub-area based on the comparison of the historical monitoring load of each power unit with the set multiple load level thresholds. Combined with the available equipment capacity in each control sub-area, including the capacity of the transformer equipment and the capacity of the capacitor, the overall control target is divided into multiple regional control targets according to the available equipment capacity of each control sub-area, where the available equipment capacity of each sub-area is proportional to the regional control target.

[0062] The above-mentioned control process includes:

[0063] Step S301 , determining a target quantity of each target grid in a sub-region according to the region adjustment target of the control sub-region and the capacity of each available device in the sub-region.

[0064] Step S302, according to the target quantity of each target grid and the real-time output energy of the load transformer equipment in the target grid, adjust the load of the load transformer equipment connected to the target grid and the output capacity of the target grid gateway.

[0065] Based on the load of the load transformer equipment of the target grid and the output capacity adjustment of the target grid gateway, in order to have a clearer understanding of the specific adjustment process, a specific single grid adjustment example is given below for illustration.

[0066] Example 1: If the grid load exceeds the upper limit, that is, the grid load exceeds the specified maximum carrying capacity, when the investment cost of the grid is over-compensated, if it is predicted that the increase in the output of the grid load transformer equipment will not make the grid investment cost under-compensated, then the output of the grid load transformer equipment will be increased; otherwise, downshift will be chosen, that is, the tap of the transformer equipment in the grid will be adjusted to reduce the voltage ratio of the transformer.

[0067] Example 2: If the capacity of the grid load transformer equipment has been fully developed, that is, the grid transformer equipment is operating at the maximum rated capacity, the grid load of this grid still exceeds the upper limit and the investment cost is over-compensated, evaluate whether the capacitor removal will make the investment cost of this grid unqualified, if not, remove the grid parallel capacitor, if so, choose to downgrade, that is, adjust the tap of the transformer equipment in the grid to reduce the voltage ratio of the transformer; when the investment cost of this grid is normal, the execution process is the same as when the grid investment cost is over-compensated; and when the investment cost of this grid is under-compensated, increasing the output of the grid load transformer equipment or removing the capacitor will only make the under-compensation of the grid investment cost more serious, so only downgrade can be selected, that is, adjust the tap of the transformer equipment in the grid to reduce the voltage ratio of the transformer.

[0068] Example 3: If the grid load exceeds the lower limit, that is, the grid load is lower than the specified minimum operating load, when the investment cost of the grid is underpaid, if it is predicted that the reduction in the output of the grid load transformer equipment will not make the grid investment cost unqualified, then the output of the grid load transformer equipment will be reduced; otherwise, choose to upgrade, that is, adjust the tap of the transformer equipment in the grid to increase the voltage ratio of the transformer.

[0069] Example 4: If the capacity of the grid load transformer equipment has been reduced to 0, the grid load is still above the lower limit and the investment cost is under-compensated, then predict whether the investment cost of the grid will be unqualified after the capacitor is put into operation. If not, then put the grid parallel capacitor into operation. If so, then downshift is selected. When the grid investment cost is normal, the execution process is the same as when the grid investment cost is under-compensated. When the grid investment cost is over-compensated, reducing the output of the grid load transformer equipment or putting in capacitors will only make the over-compensation of the grid investment cost more serious, so only upshift can be selected.

[0070] Example 5: When the threshold investment cost is reversed, if it is predicted that the increase in the output capacity of the grid load transformer equipment will not cause the grid load to exceed the limit, then the output capacity of the grid load transformer equipment will be increased; when the capacity of the grid load transformer equipment has been fully deployed and the threshold investment cost is still reversed, then it is predicted in order according to the sensitivity to the correction investment cost exceeding the limit after the capacitors have been removed. If removing a certain capacitor will not cause the grid investment cost to be undercompensated and the grid load to exceed the limit, choose to remove the capacitor.

[0071] Example 6: When the threshold investment cost is under-compensated, if it is predicted that the reduction in the output capacity of the grid load transformer equipment will not cause the grid load to exceed the limit, the output capacity of the grid load transformer equipment will be reduced; and when the output capacity of the grid load transformer equipment has been reduced to 0, and the threshold investment cost is still under-compensated, then according to the order of the sensitivity of correcting the threshold investment cost over-limit after the capacitors that have not been put into use are ranked, if it is predicted that the investment of a certain capacitor will not cause the grid investment cost to be over-compensated or the grid load to exceed the limit, then the capacitor will be selected for investment.

[0072] It should be understood that although the Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Figure 1 At least part of the steps may include multiple sub-steps or sub-stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least part of the sub-steps or stages of other steps.

[0073] The above embodiments disclosed in the present invention describe in detail the method for optimizing the target grid planning of the distribution network. The above methods disclosed in the present invention can be implemented by various devices. Therefore, the present invention also discloses a device for optimizing the target grid planning of the distribution network corresponding to the above methods. Figure 2 , specific embodiments are given below to explain in detail.

[0074] The data acquisition module 401 is used to acquire the real-time operation data of the distribution network in the target area;

[0075] The optimization analysis module 402 is used to input the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area;

[0076] The grid planning adjustment module 403 is used to send the regional control target to each control sub-area according to the overall control target, so that each control sub-area adjusts the planning of each target grid in the control sub-area according to the regional adjustment target and the available equipment capacity in the sub-area.

[0077] The device for optimizing the target grid planning of the distribution network can refer to the above definition of the method, which will not be repeated here. Each module in the above device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor of the terminal device in the form of hardware, or stored in the memory of the terminal device in the form of software, so that the processor calls and executes the operations corresponding to the above modules.

[0078] In one embodiment, the present invention further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method for optimizing the target grid planning of the distribution network are implemented.

[0079] The computer-readable storage medium may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read-only memory), an EPROM (erasable programmable read-only memory), a hard disk or a ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium has storage space for program codes for executing any of the method steps in the above method. These program codes may be read from or written into one or more computer program products, and the program codes may be compressed in an appropriate form.

[0080] In one embodiment, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the above-mentioned method for optimizing distribution network target grid planning when executing the computer program.

[0081] The computer device includes a memory, a processor and one or more computer programs, wherein the one or more computer programs can be stored in the memory and configured to be executed by one or more processors, and the one or more application programs are configured to execute the above-mentioned distribution network target grid planning optimization method.

[0082] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect the various parts of the entire computer device, and executes various functions of the computer device and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory, and calling data stored in the memory. Optionally, the processor can be implemented in at least one hardware form of digital signal processing (DSP), field programmable gate array (FPGA), and programmable logic array (PLA). The processor can integrate one or more combinations of a central processing unit (CPU), a reporting verifier (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing display content; and the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor, but may be implemented separately through a communication chip.

[0083] The memory may include a random access memory (RAM) or a read-only memory (ROM). The memory may be used to store instructions, programs, codes, code sets or instruction sets. The memory may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc. The data storage area may also store data created by the terminal device during use, etc.

[0084] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for optimizing distribution network target grid planning, characterized in that: include: Obtain real-time operation data of the distribution network in the target area; Inputting the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area; The regional control target is sent to each control sub-area according to the overall control target, so that each control sub-area adjusts the planning of each target grid in the control sub-area according to the regional adjustment target and the available equipment capacity in the sub-area.

2. The method for optimizing distribution network target grid planning according to claim 1, characterized in that: The real-time operation data of the distribution network in the target area includes the real-time system network loss data of the distribution network in the target area, the machine-side load data of each power generation equipment in the distribution network in the target area, and the regulation and compensation capacity.

3. The method for optimizing distribution network target grid planning according to claim 2, characterized in that: The step of inputting the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area includes: Performing status evaluation on real-time operation data of the distribution network in the target area; If the state assessment result is credible, the real-time operation data of the distribution network in the target area is input into the objective function to obtain the optimal control parameters; If the optimal control parameters converge, the overall control target of the target area is obtained according to the optimal control parameters.

4. The method for optimizing distribution network target grid planning according to claim 3, characterized in that: Also includes: If the optimal control parameters do not converge, the overall control target of the target area is obtained according to the set control target parameters.

5. The method for optimizing distribution network target grid planning according to claim 4, characterized in that: The specific expression of the objective function is: Where P loss is the network loss of the distribution network, λ1 is the first penalty function coefficient, λ2 is the second penalty function coefficient, ΔV i 2 is the load deviation of the i-th distribution network in the target area, is the compensation capacity deviation of the j-th distribution network regulation in the target area, n D is the number of distribution network frames in the target area, n P is the number of distribution network gateways in the target area.

6. The method for optimizing distribution network target grid planning according to claim 5, characterized in that: The sending of the regional control target to each control sub-region according to the overall control target is specifically: The regional control target of each control sub-area is obtained according to the overall control target and the available equipment capacity in each control sub-area.

7. The method for optimizing distribution network target grid planning according to claim 6, characterized in that: Each control sub-region adjusts the planning of each target grid in the control sub-region according to the region adjustment target and the available equipment capacity in the sub-region, specifically: Determine the target quantity of each target grid in the sub-region according to the region adjustment target of the control sub-region and the capacity of each available equipment in the sub-region; According to the target quantity of each target grid and the real-time output energy of the load transformer equipment in the target grid, the load of the load transformer equipment connected to the target grid and the output capacity of the target grid gateway are adjusted.

8. A device for optimizing distribution network target grid planning, characterized in that: include: A data acquisition module is used to obtain real-time operation data of the distribution network in the target area; An optimization analysis module, used to input the real-time operation data of the distribution network in the target area into the objective function to obtain the overall control target of the target area; The grid planning adjustment module is used to send regional control targets to each control sub-area according to the overall control target, so that each control sub-area adjusts the planning of each target grid in the control sub-area according to the regional adjustment target and the available equipment capacity in the sub-area.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing distribution network target grid planning according to any one of claims 1 to 7 are implemented.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it performs the method for optimizing distribution network target grid planning according to any one of claims 1 to 7.

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