Transformer substation site selection optimization method, system, equipment and medium

Abstract

The invention discloses a substation site selection optimization method, system, equipment and medium, and relates to the field of power distribution network planning, and the method comprises the steps: determining a reserved candidate site according to the obtained substation annual load data, capacity and tie line data corresponding to each power supply grid in a target power supply partition, calculating a newly increased power transformation quantity range of the target power supply subarea; establishing a collaborative planning model taking transformer substation capacity configuration and transformer substation tie line layout as optimization variables by taking minimization of the number of built transformer substations as a target; setting an initial search condition according to a reserved candidate site, and solving a collaborative planning model by taking a newly increased power transformation quantity range as an iteration boundary; in the solving process, when the current site selection scheme output by the collaborative planning model meets the preset condition, the branch optimization mechanism is triggered to obtain the target site selection optimization scheme corresponding to the target solution, the power grid resource utilization rate is improved, and the power supply reliability is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network planning, and in particular to a substation site selection optimization method, system, equipment and medium. Background Art

[0002] The location of substations has a huge impact on the network structure and power supply of the medium-voltage power grid, making it a core link in medium-voltage power grid planning.

[0003] Against the backdrop of increasingly stringent requirements for grid standardization and increasingly limited site selection resources, traditional planning methods, focusing solely on a single load indicator, result in poor site selection results, waste of resources, and difficulty meeting current power supply needs.

[0004] It can be seen that how to optimize the site selection strategy of substations and improve the reliability of power supply has become a technical problem that needs to be solved urgently by those skilled in the art. Summary of the Invention

[0005] The present invention provides a substation site selection optimization method, system, equipment and medium, which solves how to improve planning accuracy and resource utilization by iterating and adjusting the site selection results output by a model.

[0006] In order to solve the above technical problems, an embodiment of the present invention provides a substation site optimization method, comprising: Determine the candidate sites for reservation based on the obtained annual load data of substations corresponding to each power grid in the target power supply zone, known substation capacity, and substation tie line data; Calculate the range of newly added substations in the target power supply zone based on the substation annual load data and the known substation capacity; With the goal of minimizing the number of substations to be built, a collaborative planning model is established with substation capacity configuration and substation tie line layout as optimization variables; An initial search space and an initial search starting point are set according to the reserved candidate sites, and the collaborative planning model is iteratively solved with the range of the number of newly added substations as an iteration boundary; During the iterative solution process, when the current site selection plan output by the collaborative planning model meets the preset conditions, the execution branch optimization mechanism is triggered; According to the branch optimization results, the target location optimization plan corresponding to the target solution is output.

[0007] Furthermore, the determination of the reserved candidate sites based on the acquired annual load data of substations in the target power supply area, known substation capacities, and substation tie line data includes: Calculating the difference between the maximum load value in the annual load data of the substation and the known substation capacity to determine the load gap of each power grid in the target power supply zone; Based on the standard land policy and geological conditions corresponding to the target power supply zone, the areas where the load gap meets the first preset condition are determined as the preliminary site set; According to the transformer substation interconnection line, the reserved candidate sites whose medium voltage interconnection distance with the surrounding adjacent sites is less than the second preset condition are screened out from the preliminary site set.

[0008] Furthermore, the calculation of the range of the number of newly added substations in the target power supply zone based on the substation annual load data and the known substation capacity includes: Determine the annual grid load and capacity load ratio of the target power supply zone based on the annual load data of the substation; Performing a weighted analysis on the annual grid load and the capacity-load ratio to obtain a total demand for new transformer capacity in the target power supply zone; The total demand for new substation capacity is compared with the standard economic capacity specification of new substations to determine the range of the number of new substations.

[0009] Furthermore, during the iterative solution process, when the current site selection scheme output by the collaborative planning model meets a preset condition, a branch optimization mechanism is triggered, including: During the iterative solution process, a multi-dimensional resource utilization index value corresponding to the current site selection scheme is quantitatively calculated; the multi-dimensional resource utilization index value reflects the quantitative results of the substation main transformer load factor, substation interval utilization factor, and power grid capacity load ratio; When the multi-dimensional resource utilization index value meets the preset judgment condition, the branch optimization mechanism is triggered.

[0010] Furthermore, when the multi-dimensional resource utilization index value meets a preset judgment condition, triggering a branch optimization mechanism includes: When any one of the substation main transformer load factor, substation interval utilization factor, and power grid capacity ratio exceeds the first preset range corresponding to each, and the number of sites in the current site selection plan meets the preset iteration limit, the site reduction operation is triggered; When any one of the substation main transformer load rate, substation interval utilization rate and power grid capacity load ratio exceeds the corresponding second preset range, triggering the execution plan fallback operation; When the substation main transformer load factor, substation interval utilization rate, and power grid capacity ratio all meet their corresponding preset threshold ranges, the current site selection scheme is determined as the target solution.

[0011] Furthermore, when the multi-dimensional resource utilization index value meets a preset judgment condition, triggering the branch optimization mechanism also includes: When the load rate of the main transformer of the substation is lower than the first preset lower limit threshold, or the substation interval utilization rate is lower than the second preset lower limit threshold, or the power grid capacity load ratio is higher than the third preset upper limit threshold, and the number of sites in the current site selection plan meets the minimum boundary of the range of the number of new substations, the site reduction operation is triggered; When the load rate of the substation main transformer is higher than the first preset upper threshold, or the substation interval utilization rate is higher than the second preset upper threshold, or the power supply grid capacity ratio is lower than the third preset lower threshold, the site selection scheme output in the previous round of iteration is determined as the target solution, and the iteration is terminated.

[0012] Furthermore, the site reduction operation includes: Marking a site in the current site selection plan where the load rate of the substation main transformer is lower than a first preset lower threshold or the substation interval utilization rate is lower than a second preset lower threshold as a low-utilization site; Performing a weighted analysis on the substation main transformer load rate and substation interval utilization rate of each of the low-utilization sites to determine the comprehensive utilization rate of each of the low-utilization sites; The low-utilization site with the lowest comprehensive utilization rate is screened out from the current site selection plan, and the solution process is iterated again.

[0013] Another embodiment of the present invention provides a substation site selection optimization system, including: The candidate site division module is used to determine the reserved candidate sites based on the obtained substation annual load data corresponding to each power grid in the target power supply zone, the known substation capacity and the substation tie line; A substation quantity range calculation module, configured to calculate the range of newly added substation quantities in the target power supply zone based on the substation annual load data and the known substation capacity; A collaborative planning model building module is used to establish a collaborative planning model with substation capacity configuration and substation tie line layout as optimization variables, with the goal of minimizing the number of substations to be built. an iterative solution module, configured to set an initial search space and an initial search starting point according to the reserved candidate sites, and iteratively solve the collaborative planning model with the range of the number of newly added substations as an iteration boundary; A branch optimization module is used to trigger the execution of a branch optimization mechanism when the current site selection scheme output by the collaborative planning model meets preset conditions during the iterative solution process; The target solution output module is used to output the target location optimization solution corresponding to the target solution based on the branch optimization results.

[0014] Yet another embodiment of the present invention provides a computer device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the substation site optimization method as described above when executing the computer program.

[0015] Yet another embodiment of the present invention provides a computer-readable storage medium storing a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the substation site optimization method as described above is implemented.

[0016] Compared with the prior art, the embodiments of the present invention have the following advantages: The present invention integrates multi-dimensional indicator data to accurately locate and reserve candidate sites, thereby avoiding waste of resources; based on load-capacity comparison calculation, it delineates the range of the number of new substations to be built, and sets a reliable iteration boundary for the subsequent model solution process; substation capacity configuration and interconnection line layout are used as joint optimization variables, with the goal of minimizing the number of substations to be built. At the same time, the search space is initialized based on the candidate sites, and iteration is started with the number range as the boundary, which can effectively reduce the solution complexity and improve the calculation efficiency; the optimal site selection scheme is output through iterative solution; and the output solution is iteratively optimized through a branch optimization mechanism during the iterative process, which significantly improves the overall efficiency of the site selection scheme, avoids the algorithm from falling into the suboptimal trap, and ensures the accuracy of the model output results and the reliability of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic flow chart of a substation site selection optimization method in one embodiment of the present invention; Figure 2 1 is a schematic diagram of the structure of a substation site selection optimization system in one embodiment of the present invention; Figure 3 This is a structural block diagram of a preferred embodiment of a computer device provided by the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0019] In the description of this application, the terms "first," "second," "third," etc. are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first," "second," "third," etc. may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0020] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be a communication between the two components. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used herein are for illustrative purposes only, and do not indicate or imply that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art. The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit the present invention. Those skilled in the art will understand the specific meanings of the above terms in this application in specific circumstances.

[0022] An embodiment of the present invention provides a method for optimizing substation site selection. For details, see Figure 1 , Figure 1 The figure shows a flow chart of a substation site optimization method in one embodiment of the present invention, which includes the following steps: S1. Determine the reserved candidate site based on the obtained substation annual load data, known substation capacity, and substation tie line data corresponding to each power grid in the target power supply zone.

[0023] In this embodiment, the selection of candidate sites for reservation comprehensively considers factors such as proximity to the load center, convenient transportation, and compliance with environmental protection requirements. Feasible substation sites are also planned and reserved through a weighted scoring evaluation method. Specifically, annual substation load data is collected from each power grid within the selected target power supply zone. This data actually reflects the power supply demand of each power grid; the known substation capacity within the zone is determined. This data reflects the power supply capacity of each power grid; and substation interconnection line data. It should be understood that substation interconnection lines are high-voltage transmission lines connecting different substations or power supply areas. This indicator can fully reflect the interval utilization rate between substations. For example, when a station fails, the adjacent station can take over its load / capacity through the interconnection line to fully utilize the resources between the two stations.

[0024] In this embodiment, the load gap of each power grid within the target power supply zone is determined by calculating the difference between the maximum load value in the substation annual load data and the known substation capacity. That is, when the known substation capacity is less than the regional maximum load, there must be unmet power demand. Therefore, this load gap reflects the urgency of substation construction to a certain extent.

[0025] Based on the standard land policy and geological conditions corresponding to the target power supply zone, areas where the load gap meets the first preset condition are determined as the preliminary site set. For example, the first preset condition is set to ensure that the load gap value of each power grid is greater than 25% of the known substation capacity, and the areas corresponding to these power grids are included in the preliminary site set. The set standard land policy and geological conditions as restrictions are actually external constraints introduced by this embodiment. For example, the selected site must comply with the ecological protection zone that needs to be avoided in the standard land policy, the cost of demolition cannot exceed the budget, the selected soil bearing capacity must be greater than the standard for 110kV stations, which can usually be 150kPa, and the site elevation should be greater than the standard flood level + 0.5m to avoid areas prone to natural disasters.

[0026] Next, a detailed screening process is performed. Based on the substation tie lines, reserved candidate sites are selected from the initial set of sites, whose medium-voltage interconnection distance to adjacent sites is less than a second preset condition. This screening step fully considers the relationship between substation site selection and tie line layout, ensuring the interconnection and power transfer capacity on the medium-voltage side of the distribution network. For example, the second preset condition can be set to 3km.

[0027] It should be understood that the purpose of reserving candidate sites is to provide an initial search space and boundary conditions for the subsequent iterative optimization process of this embodiment.

[0028] S2. Calculate the range of newly added substations in the target power supply zone based on the substation annual load data and known substation capacity.

[0029] Specifically, first, determine the annual network load and capacity load ratio of the target power supply partition based on the annual load data of the substation. For example, taking the target power supply partition of the 110 / 35kV distribution network as an example, calculate its annual network load and capacity load ratio: Where, It supplies annual load to the 110 / 35kV network; The (maximum) electricity load of the whole society; Power for factories (all power plants in the area); Self-supply load for the enterprise power grid; Directly supplying dedicated transformer loads at voltages of 110kV and above; It is a special transformer load that steps down the voltage from 220kV and above to 35kV; It refers to the power generation output of 10kV and below that is connected to the grid and participates in power balancing.

[0030] The capacity-load ratio refers to the ratio of the total substation capacity to the maximum load in the target power supply zone. In some embodiments of the present invention, the total demand for new substation capacity in the target power supply zone is obtained by performing a weighted analysis on the annual grid load and the capacity-load ratio.

[0031] For example, taking the 110 / 35kV distribution network target power supply zone as an example, the transformer capacity requirement S of this zone is expressed as follows: Where, The power supply capacity requirements for the 110 / 35kV distribution network in the target year; The grid supply (maximum) load for the target year of the 110 / 35kV distribution network; The load capacity ratio of the conventional load of the 110 / 35kV distribution network in the target year; The charging pile load in the public area (controllable load), generally without considering the spare capacity, the default value of the controllable load capacity ratio is ; The standby capacity (power value) purchased separately from the grid for large users (including power plants, enterprise grids, and microgrids). The default value is It is a preventive measure for users to deal with the uncertainty of their internal power output under the environment of electricity market trading, which is characterized by the "small start" of thermal power units. This part of the electricity enjoys differentiated power supply reliability electricity price; the default value of the reserve capacity load ratio is .

[0032] It can be seen that the substation capacity demand S is obtained by weighting the differentiated capacity-load ratio.

[0033] The total demand for new transformer capacity is expressed as: Where, It is the current annual substation capacity of the 110 / 35kV distribution network (including substations planned to be put into operation).

[0034] The total demand for new substation capacity is compared with the standard new substation economic capacity specification to determine the range of new substation quantity. In this embodiment, the range of new substation quantity can be expressed as: Where, is the maximum number of new substations; is the minimum number of new substations; The maximum value of the economic capacity (total capacity S of the substation × load factor of the substation) among the candidate capacities for the new substation. is the minimum economic capacity (total substation capacity S x substation load factor) among the candidate substations. This formula indicates that the upper and lower limits of the range of newly added substations are closely related to the substation capacity and operating load. This range of newly added substations should be considered during site selection as a key criterion for decision-making in subsequent model solutions.

[0035] S3. With the goal of minimizing the number of substations to be built, a collaborative planning model is established with substation capacity configuration and substation interconnection line layout as optimization variables.

[0036] This step establishes a collaborative planning model that considers both substation capacity configuration and interconnection line layout, with the goal of minimizing the number of substations to be built.

[0037] The collaborative planning model includes the following objective functions: Where, The total number of substations included (reserved) in the power supply zone; is a binary decision variable, 1: substation z selects the kth capacity specification, 0: substation z does not select the kth capacity specification; is the construction cost of the substation with the kth transformer capacity; is the connection state variable of the contact line, 1: line connected, 0: line not connected; is the cost of the tie line ij; For substations Whether it is a planned construction station, 1: planned construction, 0: reserved and not built.

[0038] Specifically, this embodiment minimizes the number of substations to be built based on the construction cost of substations and the construction cost of interconnection lines between substations.

[0039] Constraints include: ) Where, The total number of power grids included in the power supply zone; is the capacity value of the kth substation specification; is the substation capacity of substation z; The total substation capacity planned and constructed within the power supply zone; Powering the grid Power supply capacity requirements; The total power supply capacity demand for the power supply zone; is the capacity load ratio of the power supply partition; Powering the grid From the substation The allocated transformer capacity; Powering the grid The total substation capacity allocated from each substation; For substations Power supply grid Power supply capacity requirements; For substations The maximum power supply capacity required; For substations Average load factor; Powering the grid Load capacity ratio; For substations Construction scale (number of outgoing line bays); For substations The number of interval plans to be used; For substations Interval utilization rate; Powering the grid From the substation The number of intervals allocated; Powering the grid The total number of lines required; is the capacity of the tie line ij; The backup power supply demand of grid g.

[0040] It can be seen that the above constraints reflect the load factor of the main transformer in the substation ( ), substation interval utilization rate ( ) and the power grid capacity load ratio ( ) and other key indicators. The constraints of these three indicators are expressed as follows: Substation main transformer load factor : Where, 、 It is the reasonable range (minimum and maximum) of the average load rate of the substation main transformer.

[0041] Substation interval utilization rate : Where, 、 is the reasonable range (minimum value, maximum value) of substation interval utilization.

[0042] Power grid capacity ratio : Where, 、 is the reasonable range (minimum and maximum values) of the capacity load ratio of the power grid g, where: Powering the grid The target value of the capacity load ratio is: is a fixed value.

[0043] S4~S5. Set the initial search space and initial search starting point based on the reserved candidate sites, and iterate the collaborative planning model with the range of the number of newly added substations as the iteration boundary. During the iterative solution process, when the current site selection plan output by the collaborative planning model meets the preset conditions, the execution branch optimization mechanism is triggered.

[0044] The previously determined reserved candidate sites provide the initial search space for the entire iterative optimization process in this step. These reserved candidate sites are considered the starting points for the iterations, acting as the substations to be built. For example, if the reserved candidate sites include 10 sites, then the solution corresponding to the starting point of this solution process is considered to include 10 sites.

[0045] In some embodiments of the present invention, an integer programming solver (such as CPLEX or Gurobi) may be selected to solve the collaborative planning model to output an optimal site selection plan that includes optimal capacity allocation and optimal interconnection line layout. That is, in each iteration, the substation capacity configuration and interconnection line layout are optimized for the currently fixed reserved candidate sites.

[0046] In the iterative solution process, further, this embodiment proposes a method based on the load rate of the main transformer of the substation ( ), substation interval utilization rate ( ) and the power grid capacity load ratio ( ) A cyclic iterative plan based on these three key indicators.

[0047] First, it is necessary to quantitatively calculate the multi-dimensional resource utilization index value corresponding to the current site selection scheme. This multi-dimensional resource utilization index value reflects the quantitative results of the substation main transformer load rate, substation interval utilization rate and power supply grid capacity load ratio, and also reflects the resource utilization rate of the current site selection scheme.

[0048] Next, these indicators are judged. When the multi-dimensional resource utilization indicator value meets the preset judgment conditions, the execution of the branch optimization mechanism will be triggered. Specifically: When any one of the substation main transformer load rate, substation interval utilization rate, and power grid capacity ratio exceeds the corresponding first preset range, and the number of sites in the current site selection plan meets the preset iteration boundary, it is considered that the current site selection plan has redundancy in the number of sites and resources, and there is room for further substation reduction. Specifically: when the substation main transformer load rate is lower than the first preset lower limit threshold, or the substation interval utilization rate is lower than the second preset lower limit threshold, or the power grid capacity ratio is higher than the third preset upper limit threshold, and the number of sites in the current site selection plan meets the minimum boundary of the range of the number of new substations, the site reduction operation will be triggered.

[0049] When any of the substation main transformer load factor, substation interval utilization factor, and power grid capacity ratio exceeds their respective second preset ranges, excessive curtailment is considered to have occurred. Specifically, when the substation main transformer load factor exceeds the first preset upper threshold, or the substation interval utilization factor exceeds the second preset upper threshold, or the power grid capacity ratio falls below the third preset lower threshold, a plan rollback operation is triggered, i.e., the site selection solution output from the previous iteration is determined as the target solution, and the iteration is terminated.

[0050] For example, the first preset upper and lower thresholds of the main transformer load rate can be set to 70% and 30%, which are used to avoid overload risks and resource idleness; the second preset upper and lower thresholds of the substation interval utilization rate can be set to 80% and 40%; the third preset upper and lower thresholds of the power supply grid capacity ratio can be set to 1.8 and 1.6.

[0051] When the site selection plan is redundant and the reduction operation is performed, this embodiment will further check whether the number of substations is greater than the minimum number of new substations. , when it is met, the substation with the smallest weighted sum of "substation main transformer load rate + substation interval utilization rate" is selected from the substations with "low substation main transformer load rate and low substation interval utilization rate" as the candidate substation to be reduced.

[0052] Specifically, the sites in the current site selection plan where the substation main transformer load rate is lower than the first preset lower threshold or the substation interval utilization rate is lower than the second preset lower threshold are marked as low-utilization sites, and the substation main transformer load rate and substation interval utilization rate of each low-utilization site are weighted analyzed to determine the comprehensive utilization rate of each low-utilization site. In this embodiment, the comprehensive utilization rate of each low-utilization site is Expressed as: Where w1 and w2 are weights.

[0053] The comprehensive utilization rate The smallest low-utilization site is removed from the current siting solution, and the solution process is iterated again. For example, if a site's Uz = 0.4 (lower than other sites) due to its marginal location is removed first, forming a new siting solution with one fewer substation. This new siting solution is then used to start the next iteration. This operation uses heuristic rules to gradually approach the optimal solution as the model is solved.

[0054] For example, if the number of sites in the current site selection plan output by the model is is 7, the minimum boundary =5, main transformer load factor =32%, interval utilization factor =38%, grid capacity ratio =1.82. After judgment, the load factor / interval utilization factor is lower than the lower limit, and 7>5, which meets the triggering conditions for the site reduction operation. After executing the reduction operation, the number of sites in the new site selection plan output by iteration is 6.

[0055] When the substation main transformer load rate, substation interval utilization rate and power supply grid capacity ratio all meet their corresponding preset threshold ranges, the current site selection scheme is determined as the target solution.

[0056] S6. Based on the branch optimization results, the target location optimization plan corresponding to the target solution is output.

[0057] The final step involves branching optimization and looping until the search terminates. The collaborative planning model then outputs a target solution, which represents the optimal solution for the optimal site selection, or target site selection optimization. For example, this target site selection optimization solution includes the optimal substation capacity configuration, the optimal interconnection line layout, and the values ​​of key indicators.

[0058] In summary, this embodiment first determines the reserved candidate sites based on the multi-dimensional indicators of load data, substation capacity and interconnection line data, which serve as the iterative initial conditions for the subsequent model solving process; secondly, the range of the number of new substations is calculated, and the iteration boundary is established to ensure that the optimization direction is always within a reasonable and feasible range, eliminating the risk of planning overruns; then, a collaborative planning model is constructed, and the substation capacity configuration and interconnection line layout are used as joint optimization variables. A branch optimization mechanism is introduced in the iteration, and finally the optimal site selection scheme is output, which comprehensively improves the accuracy of power grid planning.

[0059] An embodiment of the present invention provides a substation site selection optimization system. For details, see Figure 2 , Figure 2 The present invention provides a substation site optimization system according to one embodiment of the present invention, comprising: The candidate site division module M1 is used to determine the reserved candidate sites based on the acquired substation annual load data, known substation capacity and substation tie lines corresponding to each power grid in the target power supply zone; The substation quantity range calculation module M2 is used to calculate the range of the number of new substations in the target power supply zone based on the substation annual load data and the known substation capacity; Collaborative planning model building module M3 is used to establish a collaborative planning model with substation capacity configuration and substation tie line layout as optimization variables, with the goal of minimizing the number of substations to be built; An iterative solution module M4 is configured to set an initial search space and an initial search starting point according to the reserved candidate sites, and iteratively solve the collaborative planning model with the range of the number of newly added substations as an iteration boundary; The branch optimization module M5 is used to trigger the execution of the branch optimization mechanism when the current site selection scheme output by the collaborative planning model meets the preset conditions during the iterative solution process; The target solution output module M6 is used to output the target location optimization solution corresponding to the target solution based on the branch optimization results.

[0060] like Figure 3 As shown, an embodiment of the present invention further provides a computer device, Figure 3This is a structural block diagram of a preferred embodiment of a computer device provided by the present invention, wherein the computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the above-mentioned method when executing the computer program.

[0061] Preferably, the computer program can be divided into one or more modules / units (e.g., computer program 1, computer program 2, ...). These one or more modules / units are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the computer device.

[0062] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor. The processor is the control center of the terminal device, and various parts of the terminal device are connected using various interfaces and lines.

[0063] The memory primarily includes a program storage area and a data storage area. The program storage area can store an operating system, at least one application required for a function, and the data storage area can store related data. Furthermore, the memory can be a high-speed random access memory or a non-volatile memory, such as a plug-in hard drive, a SmartMedia Card (SMC), a Secure Digital (SD) card, or a Flash Card. Alternatively, the memory can be other volatile solid-state storage devices.

[0064] It should be noted that the above terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 3The block diagram is merely an example of a terminal device and does not limit the terminal device. The terminal device may include more or fewer components than shown, or a combination of certain components, or different components. Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The program may be stored in a computer-readable storage medium. When executed, the program may include the processes of the above-described method embodiments. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0065] Accordingly, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to perform the steps in the method of the above embodiment, for example Figure 1 Steps S1 to S6 described in .

[0066] The technical features and technical effects of the substation site selection optimization system proposed in the embodiment of the present invention are the same as the technical features and technical effects of the substation site selection optimization method proposed in the embodiment of the present invention, and will not be repeated here.

[0067] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A substation site optimization method, characterized in that: include: Determine the candidate sites for reservation based on the obtained annual load data of substations corresponding to each power grid in the target power supply zone, known substation capacity, and substation tie line data; Calculate the range of newly added substations in the target power supply zone based on the substation annual load data and the known substation capacity; With the goal of minimizing the number of substations to be built, a collaborative planning model is established with substation capacity configuration and substation tie line layout as optimization variables; An initial search space and an initial search starting point are set according to the reserved candidate sites, and the collaborative planning model is iteratively solved with the range of the number of newly added substations as an iteration boundary; During the iterative solution process, when the current site selection plan output by the collaborative planning model meets the preset conditions, the execution branch optimization mechanism is triggered; According to the branch optimization results, the target location optimization plan corresponding to the target solution is output.

2. The substation site optimization method according to claim 1, characterized in that: The step of determining the reserved candidate sites based on the acquired annual load data of substations in the target power supply area, known substation capacities, and substation tie line data includes: Calculating the difference between the maximum load value in the annual load data of the substation and the known substation capacity to determine the load gap of each power grid in the target power supply zone; Based on the standard land policy and geological conditions corresponding to the target power supply zone, the areas where the load gap meets the first preset condition are determined as the preliminary site set; According to the transformer substation interconnection line, the reserved candidate sites whose medium voltage interconnection distance with the surrounding adjacent sites is less than the second preset condition are screened out from the preliminary site set.

3. The substation site optimization method according to claim 1, characterized in that: The calculating, based on the substation annual load data and the known substation capacity, the range of the number of newly added substations in the target power supply zone includes: Determine the annual grid load and capacity load ratio of the target power supply zone based on the annual load data of the substation; Performing a weighted analysis on the annual grid load and the capacity-load ratio to obtain a total demand for new transformer capacity in the target power supply zone; The total demand for new substation capacity is compared with the standard economic capacity specification of new substations to determine the range of the number of new substations.

4. The substation site optimization method according to claim 1, characterized in that: In the iterative solution process, when the current site selection scheme output by the collaborative planning model meets the preset conditions, a branch optimization mechanism is triggered, including: During the iterative solution process, a multi-dimensional resource utilization index value corresponding to the current site selection scheme is quantitatively calculated; the multi-dimensional resource utilization index value reflects the quantitative results of the substation main transformer load factor, substation interval utilization factor, and power grid capacity load ratio; When the multi-dimensional resource utilization index value meets the preset judgment condition, the branch optimization mechanism is triggered.

5. The substation site optimization method according to claim 4, characterized in that: When the multi-dimensional resource utilization index value meets the preset judgment condition, triggering the branch optimization mechanism includes: When any one of the substation main transformer load factor, substation interval utilization factor, and power grid capacity ratio exceeds the first preset range corresponding to each, and the number of sites in the current site selection plan meets the preset iteration limit, the site reduction operation is triggered; When any one of the substation main transformer load rate, substation interval utilization rate and power grid capacity load ratio exceeds the corresponding second preset range, triggering the execution plan fallback operation; When the substation main transformer load factor, substation interval utilization rate, and power grid capacity ratio all meet their corresponding preset threshold ranges, the current site selection scheme is determined as the target solution.

6. The substation site optimization method according to claim 5, characterized in that: When the multi-dimensional resource utilization index value meets the preset judgment condition, triggering the branch optimization mechanism also includes: When the load rate of the main transformer of the substation is lower than the first preset lower limit threshold, or the substation interval utilization rate is lower than the second preset lower limit threshold, or the power grid capacity load ratio is higher than the third preset upper limit threshold, and the number of sites in the current site selection plan meets the minimum boundary of the range of the number of new substations, the site reduction operation is triggered; When the load rate of the substation main transformer is higher than the first preset upper threshold, or the substation interval utilization rate is higher than the second preset upper threshold, or the power supply grid capacity ratio is lower than the third preset lower threshold, the site selection scheme output in the previous round of iteration is determined as the target solution, and the iteration is terminated.

7. The substation site optimization method according to claim 5, characterized in that: The site reduction operation includes: Marking a site in the current site selection plan where the load rate of the substation main transformer is lower than a first preset lower threshold or the substation interval utilization rate is lower than a second preset lower threshold as a low-utilization site; Performing a weighted analysis on the substation main transformer load rate and substation interval utilization rate of each of the low-utilization sites to determine the comprehensive utilization rate of each of the low-utilization sites; The low-utilization site with the lowest comprehensive utilization rate is screened out from the current site selection plan, and the solution process is iterated again.

8. A substation site selection optimization system, characterized in that: include: The candidate site division module is used to determine the reserved candidate sites based on the obtained substation annual load data corresponding to each power grid in the target power supply zone, the known substation capacity and the substation tie line; A substation quantity range calculation module, configured to calculate the range of newly added substation quantities in the target power supply zone based on the substation annual load data and the known substation capacity; A collaborative planning model building module is used to establish a collaborative planning model with substation capacity configuration and substation tie line layout as optimization variables, with the goal of minimizing the number of substations to be built. an iterative solution module, configured to set an initial search space and an initial search starting point according to the reserved candidate sites, and iteratively solve the collaborative planning model with the range of the number of newly added substations as an iteration boundary; A branch optimization module is used to trigger the execution of a branch optimization mechanism when the current site selection scheme output by the collaborative planning model meets preset conditions during the iterative solution process; The target solution output module is used to output the target location optimization solution corresponding to the target solution based on the branch optimization results.

9. A computer device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for optimizing substation location according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein when the device where the computer-readable storage medium is located executes the computer program, the substation site optimization method according to any one of claims 1 to 7 is implemented.

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