A substation site selection optimization method, system, device and medium

Abstract

The application discloses a substation site selection optimization method, system, device and medium, relates to the field of power distribution network planning, and comprises the following steps: determining reserved candidate sites and calculating the range of the number of newly added substations of a target power supply partition according to the annual load data, capacity and tie line data of each power supply grid corresponding to the substations in the target power supply partition; taking the minimum number of substation construction sites as the target, establishing a collaborative planning model taking the capacity configuration of the substations and the layout of the tie lines of the substations as optimization variables; setting initial search conditions according to the reserved candidate sites, taking the range of the number of newly added substations as the iteration boundary, and solving the collaborative planning model; and when the current site selection scheme output by the collaborative planning model meets preset conditions in the solving process, triggering a branch optimization mechanism to obtain a target site selection optimization scheme corresponding to a target solution, thereby improving the utilization rate of power grid resources and ensuring power supply reliability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power distribution network planning, in particular to a substation site selection optimization method, system, device and medium. BACKGROUND

[0002] The substation site selection has a huge impact on the network structure and power supply of the medium-voltage power grid, and thus becomes a core link of the medium-voltage power grid planning.

[0003] Under the background of increasingly high requirements for power grid standardization construction and increasingly scarce site selection resources, the traditional planning method only focuses on a single load index, resulting in poor site selection scheme effect, resource waste, and difficulty in meeting the current power supply demand.

[0004] Therefore, how to optimize the substation site selection strategy and improve the reliability of power supply has become a technical problem to be solved by those skilled in the art. SUMMARY

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

[0006] To solve the above technical problems, the present application provides a substation site selection optimization method, comprising:

[0007] According to the obtained substation annual load data corresponding to each power grid in the target power supply partition, the known substation capacity and the substation tie line data, a reserved candidate site is determined;

[0008] According to the substation annual load data and the known substation capacity, the range of the number of newly added substations in the target power supply partition is calculated;

[0009] Taking the minimization of the number of substation construction as the target, a collaborative planning model is established with the substation capacity configuration and the substation tie line layout as the optimization variables;

[0010] According to the reserved candidate site, an initial search space and an initial search starting point are set, and the range of the newly added number of substations is taken as the iteration boundary, and the collaborative planning model is iteratively solved;

[0011] In the iterative solving process, when the current site selection scheme output by the collaborative planning model meets the preset condition, a branch optimization mechanism is triggered to be executed;

[0012] According to the branch optimization result, a target site selection optimization scheme corresponding to the target solution is output.

[0013] Further, the method further comprises:

[0014] calculating a difference between a maximum load value in the substation annual load data and the known substation capacity to determine a load gap of each power grid in the target power supply subarea;

[0015] determining, as a preliminary site address set, a region whose load gap meets a first preset condition, under the restriction of a standard land policy and geological conditions corresponding to the target power supply subarea;

[0016] According to the substation tie line, the preliminary site address set is filtered out from the preliminary site address set, and the medium voltage tie distance of the adjacent site is less than the second preset condition.

[0017] Further, the method further comprises:

[0018] determining an annual grid supply load and a capacity-load ratio of the target power supply subarea according to the substation annual load data;

[0019] performing weighted analysis on the annual grid supply load and the capacity-load ratio to obtain a total demand for new substation capacity of the target power supply subarea;

[0020] ratio analysis of the total demand for new substation capacity and a standard newly-built substation economic capacity specification to determine the range of the number of new substations.

[0021] Further, the method further comprises:

[0022] In the iterative solving process, the multi-dimensional resource utilization rate index value corresponding to the current site selection scheme is quantitatively calculated; the multi-dimensional resource utilization rate index value reflects the quantitative results of the substation main transformer load rate, the substation interval utilization rate and the power grid capacity-load ratio;

[0023] When the multi-dimensional resource utilization rate index value meets the preset determination condition, the branch optimization mechanism is triggered.

[0024] Further, the method further comprises:

[0025] When any one of the substation main transformer load rate, the substation interval utilization rate and the power grid capacity-load ratio exceeds the first preset range corresponding thereto, and the number of sites in the current site selection scheme meets the preset iteration boundary, a site reduction operation is triggered to be executed;

[0026] triggering the site reduction operation when any one of the substation transformer load rate, the substation bay utilization rate and the power grid capacity load ratio exceeds the corresponding second preset range;

[0027] determining that the current site selection scheme is the target solution when the substation transformer load rate, the substation bay utilization rate and the power grid capacity load ratio all meet the corresponding preset threshold range.

[0028] Further, the site reduction operation further includes:

[0029] triggering the site reduction operation when any one of the substation transformer load rate, the substation bay utilization rate and the power grid capacity load ratio exceeds the corresponding second preset range;

[0030] determining that the site selection scheme output in the last iteration is the target solution when the substation transformer load rate, the substation bay utilization rate and the power grid capacity load ratio all meet the corresponding preset threshold range.

[0031] Further, the site reduction operation further includes:

[0032] marking the sites with the substation transformer load rate lower than the first preset lower threshold or the substation bay utilization rate lower than the second preset lower threshold in the current site selection scheme as low utilization sites;

[0033] performing weighted analysis on the substation transformer load rate and the substation bay utilization rate of each low utilization site to determine the comprehensive utilization rate of each low utilization site;

[0034] excluding the low utilization site with the minimum comprehensive utilization rate from the current site selection scheme and reiterating the solving process.

[0035] Another embodiment of the present application provides a substation site selection optimization system, comprising:

[0036] a candidate site division module configured to determine a reserved candidate site according to the obtained substation annual load data of each power grid corresponding to the target power supply partition, the known substation capacity and the substation tie line;

[0037] a substation number range calculation module configured to calculate the range of the number of newly added substations of the target power supply partition according to the substation annual load data and the known substation capacity;

[0038] The synergistic planning model establishment module is configured to establish a synergistic planning model with the number of substation stations as the target to be minimized, and the substation capacity configuration and the substation tie line layout as the optimization variables.

[0039] The iterative solution module is configured to set an initial search space and an initial search starting point according to the reserved candidate station site, and perform iterative solution on the synergistic planning model with the number range of the new substations as the iteration boundary.

[0040] The branch optimization module is configured to trigger the execution of a branch optimization mechanism when the current site selection scheme output by the synergistic planning model meets a preset condition during the iterative solution process.

[0041] The target scheme output module is configured to output a target site selection optimization scheme corresponding to a target solution according to the branch optimization result.

[0042] Another embodiment of the present application provides a computer device, which comprises 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 substation site selection optimization method as described above when executing the computer program.

[0043] Still another embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the device where the computer readable storage medium is located implements the substation site selection optimization method as described above when executing the computer program.

[0044] Compared with the prior art, the beneficial effects of the embodiment of the present application are at least one of the following:

[0045] The present application can avoid resource waste by integrating multi-dimensional index data and accurately positioning the reserved candidate station site, can set a reliable iteration boundary for the subsequent model solution process by comparing and calculating the load-capacity, can effectively reduce the solution complexity and improve the calculation efficiency by taking the substation capacity configuration and the tie line layout as the joint optimization variables, taking the number of substation stations as the target to be minimized, initializing the search space based on the candidate station site, and starting iteration with the number range as the boundary, can output the optimal site selection scheme through iterative solution, and can significantly improve the overall performance of the site selection scheme, avoid the algorithm from falling into a suboptimal trap, and ensure the accuracy of the model output result and the reliability of power supply through the branch optimization mechanism to iteratively optimize the output solution during the iteration process. BRIEF DESCRIPTION OF DRAWINGS

[0046] Figure 1 is a substation site selection optimization method flowchart in one of the embodiments of the present application;

[0047] Figure 2is a substation site selection optimization system structure schematic diagram in one of the embodiments of the present application;

[0048] Figure 3 is a structure block diagram of one preferred embodiment of the computer device provided by the present application. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments of the present application. The purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0050] In the description of the present application, the terms "first", "second", "third", etc. are only used for description purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first", "second", "third", etc. can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0051] In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connecting", "connection" should be understood in a broad sense, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or the communication inside two elements. The terms "vertical", "horizontal", "left", "right", "up", "down" and similar expressions used in this paper are only for the purpose of description, and cannot be understood as indicating or implying that the devices or elements referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present application. The term "and / or" used in this paper includes any and all combinations of one or more related listed items. The specific meaning of the above terms in the present application can be understood according to the specific circumstances for those of ordinary skill in the art.

[0052] In the description of the present application, it should be noted that, unless otherwise defined, all technical and scientific terms used by the present application have the same meaning as understood by those skilled in the art. The terms used in the specification of the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the present application. For those of ordinary skill in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0053] The embodiment of the present application provides a substation site selection optimization method, and specifically, please refer to Figure 1 , Figure 1 The substation site selection optimization method in the embodiment of the present application is shown as a flowchart, and comprises the following steps:

[0054] S1, according to the obtained substation annual load data corresponding to each power supply grid in a target power supply area, known substation capacity and substation tie line data, a reserved candidate site is determined.

[0055] In the embodiment, the selection of the reserved candidate site comprehensively considers factors such as proximity to a load center, convenient transportation, and compliance with environmental protection requirements, and also plans and reserves the feasible substation site through a weighted scoring evaluation method. Specifically, the substation annual load data is collected in each power supply grid in the selected target power supply area, and this data actually reflects the power supply demand of each power supply grid; the known substation capacity in the area is determined, and this data reflects the power supply capacity of each power supply grid; and the substation tie line data. It should be understood that the substation tie line is a high-voltage transmission line connecting different substations or power supply areas, and this index 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 tie line to fully utilize the resources between the two stations.

[0056] In the embodiment, the load gap of each power supply grid in the target power supply area 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 < regional maximum load, there must be an unmet power demand, and therefore the load gap reflects the urgency of substation construction to some extent.

[0057] With the corresponding standard land policy and geological conditions of the target power supply area as the limit, the area whose load gap satisfies the first preset condition is determined as the preliminary selected site set. For example, the first preset condition is set as the load gap value of each power supply grid being greater than 25% of the known substation capacity, and the area corresponding to each power supply grid is included in the preliminary selected site set. The set standard land policy and geological conditions are actually external constraints introduced in the embodiment, for example, the selected site should comply with the ecological protection area that needs to be avoided in the standard land policy, the cost of demolition should not exceed the budget, the soil bearing capacity of the selected site should be greater than the standard of 110kV station, which is usually 150kPa, and the elevation of the selected site should be greater than the standard flood level +0.5m to avoid natural disaster-prone areas.

[0058] Then, fine screening is performed, and according to the substation tie line, the reserved candidate station site is screened out from the initial selected station site set, and the distance of the medium voltage tie line of the adjacent station site is less than the second preset condition. This screening step fully considers the relationship between the substation site selection and the tie line layout, and guarantees the tie transfer capacity of the medium voltage side of the distribution network. Exemplarily, the second preset condition can be set to 3 km.

[0059] It should be understood that the role of the reserved candidate station site is to provide an initial search space and boundary condition for the subsequent iterative optimization process of the embodiment.

[0060] S2, according to the annual load data of the substation and the known substation capacity, the number range of the new substations of the target power supply area is calculated.

[0061] Specifically, first, according to the annual load data of the substation, the annual network supply load and the capacity-load ratio of the target power supply area are determined. Exemplarily, taking the 110 / 35kV distribution network target power supply area as an example, the annual network supply load and the capacity-load ratio are calculated:

[0062]

[0063] In the formula, is the 110 / 35kV annual network supply load; is the total social electricity (maximum) load; is the auxiliary power (all power plants in the area); is the enterprise power grid self-supply load; is the 110kV and above voltage direct supply special transformer load; is the 220kV and above voltage direct drop to 35kV special transformer load; is the 10kV and below grid-connected and participating in power balance power generation output.

[0064] The capacity-load ratio refers to the ratio between the total substation capacity in the target power supply area and the maximum load. In some embodiments of the present application, the total demand of the new substation capacity of the target power supply area is obtained by weighted analysis of the annual network supply load and the capacity-load ratio.

[0065] Exemplarily, also taking the 110 / 35kV distribution network target power supply area as an example, the substation capacity demand S of the area is represented as follows:

[0066]

[0067] In the formula, is the 110 / 35kV distribution network target year power supply capacity demand; is the 110 / 35kV distribution network target year network supply (maximum) load; is the 110 / 35kV distribution network target year conventional load capacity-load ratio; The default value of the controllable load capacity ratio is 0 for the charging pile load (controllable load) in the public area. ; The default value of the controllable load capacity ratio is 0 for the charging pile load (controllable load) in the public area. The default value of the controllable load capacity ratio is 0 for the charging pile load (controllable load) in the public area. .

[0068] It can be seen that the substation capacity demand S is obtained by weighting according to the differentiated capacity ratio.

[0069] The total demand for new substation capacity is represented as:

[0070]

[0071] In the formula, is the substation capacity of the existing 110 / 35 kV distribution network in the current year (including planned substation operation).

[0072] The total demand for new substation capacity is analyzed by ratio analysis with the standard economic capacity of newly built substations to determine the range of new substation quantity. In this embodiment, the range of new substation quantity can be represented as:

[0073]

[0074]

[0075] In the formula, is the maximum number of newly built substations; is the minimum number of newly built substations; is the maximum value of the economic capacity (total capacity of the substation S x load rate of the substation) in the selected capacity of the newly built substation; is the minimum value of the economic capacity (total capacity of the substation S x load rate of the substation) in the selected capacity of the newly built substation. This formula shows that the upper and lower limits reflected by the range of new substation quantity are closely related to the capacity and operating load of the substation. In the site selection process, the range of new substation quantity is considered as a key criterion for decision-making in subsequent model solving.

[0076] S3, to minimize the number of substation stations, a collaborative planning model is established with the capacity configuration of the substation and the layout of the substation tie line as the optimization variables.

[0077] This step is to establish a collaborative planning model considering substation capacity configuration and tie line layout, and to minimize the number of substation stations.

[0078] The collaborative planning model includes the following objective function:

[0079]

[0080] In the formula, is the total number of substations contained (reserved) in the power supply partition; 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 kth substation capacity; is the tie line connection state variable, 1: line connection, 0: line not connected; is the cost of tie line ij; is the substation whether it is a planned construction station, 1: planning construction, 0: reserved not to build.

[0081] Specifically, this embodiment minimizes the number of substation stations from the substation construction cost and the construction cost of the inter-substation tie line.

[0082] The constraint conditions include:

[0083] )

[0084]

[0085]

[0086]

[0087]

[0088]

[0089]

[0090]

[0091]

[0092]

[0093]

[0094]

[0095]

[0096]

[0097] wherein, is the total number of power supply grids contained in the power supply subarea; is the capacity value of the kth power transformation specification; is the power transformation capacity of the substation z; is the total power transformation capacity of the substation planned to be constructed in the power supply subarea; is the power supply capacity requirement of the power supply grid ; is the total power supply capacity requirement of the power supply subarea; is the capacity-load ratio of the power supply subarea; is the power transformation capacity allocated from the substation to the power supply grid ; is the total power transformation capacity allocated from the substation to the power supply grid ; is the power supply capacity requirement of the power supply grid borne by the substation ; is the maximum power supply capacity requirement required to be borne by the substation ; is the average load rate of the substation ; is the capacity-load ratio of the power supply grid ; is the construction scale (number of outgoing interval) of the substation ; is the number of interval planning utilization of the substation ; is the interval utilization rate of the substation ; is the number of intervals allocated from the substation to the power supply grid ; is the total number of line requirements of the power supply grid ; is the capacity of the tie line ij; is the backup power supply requirement of the grid g.

[0098] It can be seen that the above constraints reflect the limiting conditions of key indicators including the substation main transformer load rate ( ), the substation interval utilization rate ( ), and the power supply grid capacity-load ratio ( ). The constraints of the three indicators are as follows:

[0099] Substation main transformer load rate

[0100]

[0101] wherein, , are reasonable intervals (minimum value, maximum value) of the average load rate of the transformer in the substation.

[0102] Substation bay utilization rate :

[0103]

[0104] wherein, , are reasonable intervals (minimum value, maximum value) of the substation bay utilization rate.

[0105] Power grid carrying capacity ratio :

[0106]

[0107] wherein, , are reasonable intervals (minimum value, maximum value) of the power grid g carrying capacity ratio, wherein, is the value of the power grid carrying capacity ratio target value, is a fixed value.

[0108] S4~S5, according to the reserved candidate site, set an initial search space and an initial search starting point, and take the new substation quantity range as an iteration boundary, iteratively solve the collaborative planning model, and in the iterative solving process, when the current site selection scheme output by the collaborative planning model meets the preset condition, trigger the execution of the branch optimization mechanism.

[0109] The reserved candidate sites determined before will provide an initial search space for the entire iterative optimization process in this step, and these reserved candidate sites are considered as the initial point of iteration as the to-be-built substation. For example, if the reserved candidate sites contain 10 sites, it is considered that the initial point of the solution process corresponds to a scheme containing 10 sites.

[0110] In some embodiments of the present application, an integer programming solver (such as CPLEX, Gurobi) can be selected to solve the collaborative planning model to output an optimal site selection scheme containing optimal capacity allocation and optimal layout of tie lines, i.e., in each iteration, the capacity configuration of the substation and the layout of the tie line are optimized for the currently fixed reserved candidate site.

[0111] Further, in the iterative solving process, the present embodiment proposes to use the average load rate of the transformer in the substation (L) as the branch optimization mechanism, and the average load rate of the transformer in the substation (L) is calculated according to the following formula: ​), substation bay utilization rate ( ) and power grid capacity ratio ( The iterative scheme is based on these three key indicators.

[0112] First, it is necessary to quantify the multidimensional resource utilization rate index value corresponding to the current site selection scheme. This multidimensional resource utilization rate index value reflects the quantitative results of the substation main transformer load rate, substation bay utilization rate and power grid capacity ratio, and also reflects the resource utilization rate of the current site selection scheme.

[0113] Next, these indicators are evaluated. When the multidimensional resource utilization rate indicator value meets the preset judgment conditions, the branch optimization mechanism will be triggered. Specifically:

[0114] When any one of the substation main transformer load rate, substation bay utilization rate, and power grid capacity ratio exceeds its corresponding first preset range, and the number of sites in the current site selection scheme meets the preset iteration boundary, it is considered that the current site selection scheme has redundancy in the number of sites and resources, and there is room for further reduction of substations. Specifically: when the substation main transformer load rate is lower than the first preset lower threshold, or the substation bay utilization rate is lower than the second preset lower threshold, or the power grid capacity ratio is higher than the third preset upper threshold, and the number of sites in the current site selection scheme meets the minimum boundary of the range of newly added substations, a site reduction operation will be triggered.

[0115] When any of the substation main transformer load rate, substation bay utilization rate, and power grid capacity ratio exceeds their respective second preset range, excessive reduction is considered to have occurred. Specifically: when the substation main transformer load rate is higher than the first preset upper limit threshold, or the substation bay utilization rate is higher than the second preset upper limit threshold, or the power grid capacity ratio is lower than the third preset lower limit threshold, an execution scheme rollback operation is triggered, that is, the location scheme output by the previous iteration is determined as the target solution, and the iteration is terminated.

[0116] For example, the first preset upper and lower thresholds for the main transformer load rate can be set to 70% and 30%, respectively. These upper and lower thresholds are used to avoid overload risks and resource idleness. The second preset upper and lower thresholds for the substation bay utilization rate can be set to 80% and 40%, respectively. The third preset upper and lower thresholds for the power grid capacity ratio can be set to 1.8 and 1.6, respectively.

[0117] When redundancy occurs in the site selection scheme and a reduction operation is performed, this embodiment will further check whether the number of substations is greater than the minimum number of newly built substations. When the conditions are met, the substation with the smallest weighted sum of "substation main transformer load rate + substation bay utilization rate" is selected from the substations with "low substation main transformer load rate and low substation bay utilization rate" as the candidate substation to be reduced.

[0118] Specifically, the substation main transformer load rate of a substation in the current site selection scheme is lower than a first preset lower threshold or the substation interval utilization rate is lower than a second preset lower threshold, and the substation is marked as a low utilization substation. The substation main transformer load rate and the substation interval utilization rate of each low utilization substation are weighted and analyzed to determine the comprehensive utilization rate of each low utilization substation. In this embodiment, the comprehensive utilization rate of each low utilization substation is represented as:

[0119]

[0120] In the formula, w1 and w2 are weights.

[0121] The comprehensive utilization rate Uz of each low utilization substation is The substation with the minimum comprehensive utilization rate Uz is removed from the current site selection scheme, and the iteration process is restarted. For example, if a substation is removed first because its location is on the edge and Uz=0.4 (lower than that of other substations), a new site selection scheme with one less substation is formed, and then the next iteration is started with the new site selection scheme. This operation can gradually approach the optimal solution in the process of solving the model through heuristic rules.

[0122] For example, if the number of substation in the current site selection scheme output by the model is 7, the minimum boundary is 5, the main transformer load rate is 32%, the interval utilization rate is 38%, and the grid carrying capacity ratio is 1.82, it is determined that the load rate / interval utilization rate is lower than the lower limit, and 7>5, which meets the triggering condition of the substation reduction operation. After the reduction operation is performed, the number of substations in the new site selection scheme output by the iteration is 6. When the substation main transformer load rate, the substation interval utilization rate, and the power grid carrying capacity ratio all meet the preset threshold range corresponding thereto, it is determined that the current site selection scheme is the target solution.

[0123] When the substation main transformer load rate, the substation interval utilization rate, and the power grid carrying capacity ratio all meet the preset threshold range corresponding thereto, it is determined that the current site selection scheme is the target solution.

[0124] S6, according to the branch optimization result, a target site selection optimization scheme corresponding to the target solution is output.

[0125] The last step is to perform branch optimization and loop iteration until the search is terminated, at which time the collaborative planning model outputs a target solution, which is the optimal solution reflecting the optimal site selection scheme, i.e., the target site selection optimization scheme. For example, the target site selection optimization scheme includes the optimal substation capacity configuration, the optimal tie line layout scheme, and the values of the key indicators.

[0126] ​In summary, the embodiment firstly determines the reserved candidate site based on the multi-dimensional indexes of the load data, the transformer capacity and the tie line data, as the initial condition of iteration in the subsequent model solving process; secondly, the range of the number of newly added transformers is calculated, the iteration boundary is established to ensure that the optimization direction is always in a reasonable and feasible interval, and the risk of planning out of limits is eliminated; then, the collaborative planning model is constructed, the transformer capacity configuration and the tie line layout are taken as joint optimization variables, and the branch optimization mechanism is introduced in the iteration, and finally the optimal site selection scheme is output, thereby comprehensively improving the accuracy of power grid planning.

[0127] An embodiment of the present application provides a transformer substation site selection optimization system, and specifically, refer to Figure 2 , Figure 2 The transformer substation site selection optimization system shown in one of the embodiments of the present application comprises:

[0128] The candidate site division module M1 is used for determining the reserved candidate site according to the transformer substation annual load data of each power supply grid in the target power supply partition, the known transformer substation capacity and the transformer substation tie line.

[0129] The transformer number range calculation module M2 is used for calculating the range of the number of newly added transformers of the target power supply partition according to the transformer substation annual load data and the known transformer substation capacity.

[0130] The collaborative planning model establishment module M3 is used for establishing a collaborative planning model taking the transformer capacity configuration and the transformer substation tie line layout as optimization variables with the minimum number of transformer station construction as the target.

[0131] The iteration solving module M4 is used for setting the initial search space and the initial search starting point according to the reserved candidate site, and performing iteration solving on the collaborative planning model with the range of the number of newly added transformers as the iteration boundary.

[0132] The branch optimization module M5 is used for triggering the branch optimization mechanism when the current site selection scheme output by the collaborative planning model meets the preset condition in the iteration solving process.

[0133] The target scheme output module M6 is used for outputting the target site selection optimization scheme corresponding to the target solution according to the branch optimization result.

[0134] As shown in Figure 3 The embodiment of the present application further provides a computer device, Figure 3 A preferred embodiment of the computer device provided by the present application is a structural diagram, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, and the processor realizes the method as described above when executing the computer program.

[0135] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, …), which are stored in the memory and executed by the processor to complete the present application. The one or more modules / units can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the computer device.

[0136] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), ready programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can also be any conventional processor. The processor is the control center of the terminal device, and connects various parts of the terminal device through various interfaces and lines.

[0137] The memory mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required by a function, etc., and the data storage area can store related data, etc. In addition, the memory can be a high-speed random access memory, and can also be a non-volatile memory, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., or the memory can also be other volatile solid-state storage devices.

[0138] It should be noted that the above terminal device can include, but is not limited to, the processor, the memory, and the like, which can be understood by those skilled in the art, Figure 3The structural block diagram is merely an example of the terminal device and does not constitute a limitation on the terminal device, and can include more or fewer components than shown, or combine certain components, or different components. A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing relevant hardware by a computer program, and the program can be stored in a computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiment methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), or the like.

[0139] Correspondingly, the embodiment of the present application provides a computer readable storage medium, which comprises a stored computer program, wherein when the computer program is running, the device where the computer readable storage medium is located is controlled to perform the steps in the above-mentioned embodiment methods, for example Figure 1 the steps S1-S6 in the method described in the foregoing embodiment.

[0140] The technical features and technical effects of the substation site selection optimization system according to the embodiment of the present application are the same as those of the substation site selection optimization method according to the embodiment of the present application, and are not described here.

[0141] The above-mentioned embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A substation siting optimization method, characterized by, The method comprises the following steps: According to the obtained substation annual load data corresponding to each power supply grid in the target power supply partition, known substation capacity and substation tie line data, determine the reserved candidate station site; According to the substation annual load data and the known substation capacity, calculate the range of the number of newly added substations in the target power supply partition; With the minimum number of substation construction as the target, a collaborative planning model is established with the substation capacity configuration and the substation tie line layout as the optimization variables; According to the reserved candidate station site, set the initial search space and the initial search starting point, and take the range of the number of newly added substations as the iteration boundary, and iteratively solve the collaborative planning model; During the iterative solving process, when the current site selection scheme output by the collaborative planning model meets the preset condition, trigger the branch optimization mechanism; Specifically, during the iterative solving process, quantitatively calculate the multi-dimensional resource utilization rate index value corresponding to the current site selection scheme; The multi-dimensional resource utilization rate index value reflects the quantitative results of the substation main transformer load rate, the substation interval utilization rate and the power supply grid capacity ratio; When the multi-dimensional resource utilization rate index value meets the preset determination condition, trigger the branch optimization mechanism; According to the branch optimization result, output the target site selection optimization scheme corresponding to the target solution.

2. The substation siting optimization method of claim 1, wherein, According to the obtained substation annual load data corresponding to each power supply grid in the target power supply partition, known substation capacity and substation tie line data, determine the reserved candidate station site, comprising: Calculate the difference between the maximum load value in the substation annual load data and the known substation capacity to determine the load gap of each power supply grid in the target power supply partition; With the standard land policy and the geological condition corresponding to the target power supply partition as the restriction, the region whose load gap meets the first preset condition is determined as the preliminary station site set; According to the substation tie line, the reserved candidate station site whose medium voltage tie line distance with the surrounding adjacent station site is less than the second preset condition is selected from the preliminary station site set.

3. The substation siting optimization method of claim 1, wherein, According to the substation annual load data and the known substation capacity, the range of the number of newly added substations in the target power supply partition is calculated, comprising: According to the substation annual load data, determine the annual grid supply load and the capacity ratio of the target power supply partition; Perform weighted analysis on the annual grid supply load and the capacity ratio to obtain the total demand of the newly added substation capacity of the target power supply partition; Perform ratio analysis on the total demand of the newly added substation capacity and the standard economic capacity specification of newly built substations to determine the range of the number of newly added substations.

4. The substation siting optimization method of claim 1, wherein, When the multi-dimensional resource utilization rate index value meets the preset determination condition, the branch optimization mechanism is triggered, comprising: When any one of the substation main transformer load rate, the substation interval utilization rate and the power supply grid capacity ratio exceeds the first preset range corresponding to each other, and the number of station sites of the current site selection scheme meets the preset iteration boundary, trigger the station site reduction operation; When any one of the substation main transformer load rate, the substation interval utilization rate and the power supply grid capacity ratio exceeds the second preset range corresponding to each other, trigger the scheme rollback operation; When the transformer load rate of the transformer substation, the interval utilization rate of the transformer substation, and the capacity-load ratio of the power supply grid all satisfy respective corresponding preset threshold ranges, it is determined that the current site selection scheme is a target solution.

5. The substation siting optimization method of claim 4, wherein, The branch optimization mechanism is triggered when the multi-dimensional resource utilization index value meets a preset determination condition, and the method further includes the following steps. When the transformer load rate of the transformer substation is lower than a first preset lower limit threshold, or the interval utilization rate of the transformer substation is lower than a second preset lower limit threshold, or the capacity-load ratio of the power supply grid is higher than a third preset upper limit threshold, and the number of sites in the current site selection scheme satisfies a minimum boundary higher than the range of the number of newly added transformer substations, the site reduction operation is triggered to be executed. When the transformer load rate of the transformer substation is higher than a first preset upper limit threshold, or the interval utilization rate of the transformer substation is higher than a second preset upper limit threshold, or the capacity-load ratio of the power supply grid is lower than a third preset lower limit threshold, the site selection scheme output in the last iteration is determined to be a target solution, and the iteration is terminated.

6. The substation siting optimization method of claim 4, wherein, The site reduction operation includes the following steps. Sites in the current site selection scheme, for which the transformer load rate of the transformer substation is lower than the first preset lower limit threshold or the interval utilization rate of the transformer substation is lower than the second preset lower limit threshold, are marked as low-utilization sites. The transformer load rate and the interval utilization rate of each low-utilization site are analyzed by weighting, and a comprehensive utilization rate of each low-utilization site is determined. The low-utilization site with the minimum comprehensive utilization rate is filtered out from the current site selection scheme, and the process is iterated again.

7. A substation siting optimization system characterized by, The method includes the following steps. A candidate site division module is configured to determine a reserved candidate site according to obtained transformer substation annual load data of each power supply grid in a target power supply partition, known transformer substation capacity, and transformer substation tie lines. A transformer substation number range calculation module is configured to calculate a range of the number of newly added transformer substations of the target power supply partition according to the transformer substation annual load data and the known transformer substation capacity. A collaborative planning model establishment module is configured to establish a collaborative planning model with transformer substation capacity configuration and transformer substation tie line layout as optimization variables, with the objective of minimizing the number of transformer substation sites. An iterative solution module is configured to set an initial search space and an initial search starting point according to the reserved candidate site, and to iteratively solve the collaborative planning model with the range of the number of newly added transformer substations as an iteration boundary. A branch optimization module is configured to trigger a branch optimization mechanism when a current site selection scheme output by the collaborative planning model meets a preset condition in the iterative solution process. Specifically, a multi-dimensional resource utilization index value corresponding to the current site selection scheme is quantitatively calculated in the iterative solution process. The multi-dimensional resource utilization index value reflects the quantitative results of the transformer load rate of the transformer substation, the interval utilization rate of the transformer substation, and the capacity-load ratio of the power supply grid. The branch optimization mechanism is triggered when the multi-dimensional resource utilization index value meets a preset determination condition. A target scheme output module is configured to output a target site selection optimization scheme corresponding to a target solution according to a branch optimization result.

8. A computer device, comprising: The method 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 transformer substation site selection optimization method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and when a device where the computer readable storage medium is located executes the computer program, the substation site selection optimization method in any one of claims 1 to 6 is implemented.

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