Power grid resource configuration determination method and device, computer equipment and storage medium

Abstract

The invention relates to a power grid resource configuration determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a basic resource configuration allocation proportion corresponding to an index parameter according to a comprehensive influence weight of the index parameter of a power grid condition of a target area and a dimension weight of the index parameter; obtaining a resource configuration correction proportion of the target area according to the correction parameter of the resource configuration management and control and the correction parameter of the resource configuration efficiency of the target area; and determining a resource configuration value of the target area according to a total resource configuration value, the basic resource configuration allocation proportion, the resource configuration correction proportion and the adjustment coefficient of the target area. By adopting the method, the power grid resource configuration accuracy can be improved.

Description

Technical Field

[0001] This application relates to the technical field of power grids, and in particular, to a method, device, computer device, and storage medium for determining power grid resource allocation. Background Art

[0002] With the advancement of the power system reform work, power grid enterprises need to accurately grasp their own resource allocation and power construction needs, do a good job in resource allocation and optimization of project resource allocation, while meeting the electricity demand required for social development, reduce the allocation of inefficient or ineffective resources, and improve the efficiency of resource allocation and asset appreciation.

[0003] In traditional technologies, a differential resource allocation model based on regional power demand, asset appreciation of resource allocation, and management level is mainly used to determine power grid resource allocation. However, there is a problem in traditional technologies that the power grid resource allocation is not accurate enough. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide a method, device, computer device, and storage medium for determining power grid resource allocation that can improve the accuracy of power grid resource allocation.

[0005] In a first aspect, this application provides a method for determining power grid resource allocation, and the method includes:

[0006] Obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter;

[0007] Obtain the resource allocation correction ratio of the target area according to the correction parameter of resource allocation control and the correction parameter of resource allocation efficiency in the target area;

[0008] Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0009] In one of the embodiments, the determining the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area includes:

[0010] Obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient;

[0011] Determine the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0012] In one embodiment, obtaining the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient includes:

[0013] Obtaining the resource allocation ratio according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model.

[0014] In one embodiment, the method further includes:

[0015] Obtaining the correction parameter of the resource allocation control according to the quantization value of the resource allocation control of the target area and the correction threshold of the resource allocation control;

[0016] Obtaining the correction parameter of the resource allocation efficiency according to the quantization value of the resource allocation efficiency of the target area and the correction threshold of the resource allocation efficiency.

[0017] In one embodiment, the method further includes:

[0018] Establishing a judgment matrix according to the scale index of the resource allocation optimization quantization system;

[0019] Determining the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix;

[0020] Determining the weight value of each resource allocation optimization scheme according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization scheme;

[0021] Determining the target resource allocation optimization scheme according to the weight values of each resource allocation optimization scheme.

[0022] In one embodiment, establishing a judgment matrix according to the scale index of the resource allocation optimization quantization system includes:

[0023] Adding the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix;

[0024] For each layer of the judgment matrix, establishing the judgment matrix according to the importance ratio between adjacent elements in each layer.

[0025] In a second aspect, the present application further provides a device for determining grid resource allocation, including:

[0026] A first acquisition module, configured to obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight of the index parameter of the grid condition of the target area and the dimension weight of the index parameter;

[0027] A second acquisition module, configured to acquire a resource allocation correction ratio of the target area according to a correction parameter of resource allocation control and a correction parameter of resource allocation efficiency of the target area;

[0028] A first determination module, configured to determine a resource allocation value of the target area according to a total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and an adjustment coefficient of the target area.

[0029] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0030] Acquire a basic resource allocation ratio corresponding to the index parameter according to a comprehensive influence weight of the index parameter of the power grid condition of the target area and a dimension weight of the index parameter;

[0031] Acquire a resource allocation correction ratio of the target area according to a correction parameter of resource allocation control and a correction parameter of resource allocation efficiency of the target area;

[0032] Determine a resource allocation value of the target area according to a total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and an adjustment coefficient of the target area.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0034] Acquire a basic resource allocation ratio corresponding to the index parameter according to a comprehensive influence weight of the index parameter of the power grid condition of the target area and a dimension weight of the index parameter;

[0035] Acquire a resource allocation correction ratio of the target area according to a correction parameter of resource allocation control and a correction parameter of resource allocation efficiency of the target area;

[0036] Determine a resource allocation value of the target area according to a total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and an adjustment coefficient of the target area.

[0037] In a fifth aspect, the present application further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0038] Acquire a basic resource allocation ratio corresponding to the index parameter according to a comprehensive influence weight of the index parameter of the power grid condition of the target area and a dimension weight of the index parameter;

[0039] Obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control of the target area and the correction parameter of the resource allocation efficiency.

[0040] Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0041] The above-mentioned power grid resource allocation determination method, device, computer device, and storage medium can accurately obtain the basic resource allocation ratio corresponding to the index parameters of the power grid condition of the target area according to the comprehensive influence weight and the dimension weight of the index parameters of the power grid condition of the target area, and can accurately obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control of the target area and the correction parameter of the resource allocation efficiency. Therefore, the resource allocation value of the target area can be accurately determined according to the total resource allocation value, the basic resource allocation ratio corresponding to the index parameters, the resource allocation correction ratio, and the adjustment coefficient of the target area, thereby improving the accuracy of the determined resource allocation value of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0043] Figure 1 It is an application environment diagram of the power grid resource allocation determination method in an embodiment;

[0044] Figure 2 It is a flowchart of the power grid resource allocation determination method in an embodiment;

[0045] Figure 3 It is a flowchart of the power grid resource allocation determination method in another embodiment;

[0046] Figure 4 It is a flowchart of the power grid resource allocation determination method in another embodiment;

[0047] Figure 5 It is a flowchart of the power grid resource allocation determination method in another embodiment;

[0048] Figure 6 It is a flowchart of the power grid resource allocation determination method in another embodiment;

[0049] Figure 7 It is a structural block diagram of a power grid resource allocation determination device in an embodiment. Detailed implementation manners

[0050] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] The power grid resource allocation determination method provided by the embodiments of the present application can be applied to, for example, Figure 1 the computer device shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the power grid data of the target area. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, it realizes a power grid resource allocation determination method.

[0052] In an exemplary embodiment, as Figure 2 shown, a power grid resource allocation determination method is provided. Taking the method applied to the Figure 1 computer device as an example, it includes:

[0053] S201, obtain the basic resource allocation ratio corresponding to the index parameters of the target area according to the comprehensive influence weight and the dimension weight of the index parameters of the power grid condition of the target area.

[0054] Among them, the index parameters of the power grid condition of the target area may include the current grid scale (line length and distribution capacity), resource allocation efficiency, resource allocation construction requirements, etc. Exemplarily, in this embodiment, the comprehensive influence weight of the current grid scale can be determined according to the formula wherein, represents the comprehensive influence weight of the grid scale of the target area, represents the length of medium- and low-voltage lines in the district bureau of the target area, represents the length of medium- and low-voltage lines, represents the distribution transformer capacity of the target area, represents the total capacity of the distribution transformer; the comprehensive impact weight on the resource allocation efficiency can be determined according to the formula where, represents the comprehensive impact weight on the resource allocation efficiency of the target area, including the comprehensive impact weights of the electricity sales measurement value and the newly added electricity sales measurement value, represents the electricity sales measurement value, represents the newly added electricity sales measurement value of the target area; in addition, the comprehensive impact weight on the resource allocation construction requirements in this embodiment can be determined according to the formula where, represents the comprehensive impact weight on the resource allocation construction requirements of the target area, represents the quantified value of the current grid structure level of the target area, represents the difficulty coefficient of index improvement, represents the quantified value of the planned grid structure level of the target area.

[0055] Optionally, in this embodiment, based on the multi-dimensional basic resource allocation index system, the analytic hierarchy process can be used to measure the basic resource allocation ratio corresponding to the index parameters of the power grid status of the target area, that is, the basic resource allocation ratio can be obtained according to the formula where, represents the above-mentioned basic resource allocation ratio, represents the target area the comprehensive impact weight of the index parameters, is the dimension weight of the index parameter, where the value of can be determined according to the formula where, is in the index dimension the weight corresponding to the index, is the target area in the index dimension the index value.

[0056] S202, obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control of the target area and the correction parameter of the resource allocation efficiency.

[0057] Among them, the quantified value of the resource allocation control of the target area mainly examines the resource allocation control conditions of items such as the rationality of the resource allocation plan and the resource allocation efficiency. The quantified value of the resource allocation effect mainly examines the resource allocation effect of various technical monitoring indicators and its current level.

[0058] Optionally, in this embodiment, the sum of the correction parameter of the resource allocation control of the target area and the correction parameter of the resource allocation efficiency of the target area can be determined as the resource allocation correction ratio of the target area.

[0059] S203. Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio corresponding to the index parameter, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0060] Optionally, in this embodiment, the initial resource allocation value of the target area can be determined according to the total resource allocation value and the basic resource allocation ratio corresponding to the index parameter of the power grid condition in the target area, and then the resource allocation correction ratio and the adjustment coefficient of the target area are used to adjust the initial resource allocation value to obtain the resource allocation value of the target area.

[0061] In the above method for determining the power grid resource allocation, according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter, the basic resource allocation ratio corresponding to the index parameter of the power grid condition in the target area can be accurately obtained. According to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area, the resource allocation correction ratio in the target area can be accurately obtained. Thus, according to the total resource allocation value, the basic resource allocation ratio corresponding to the index parameter, the resource allocation correction ratio, and the adjustment coefficient of the target area, the resource allocation value of the target area can be accurately determined, thereby improving the accuracy of the determined resource allocation value of the target area.

[0062] In this embodiment, the detailed acquisition process of obtaining the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient will be explained. In an exemplary embodiment, as Figure 3 shown, the above S203 includes:

[0063] S301. Obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient.

[0064] Optionally, in this embodiment, the resource allocation ratio of the target area can be calculated according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model. Exemplarily, the resource allocation ratio of the target area can be obtained according to the formula .

[0065] S302. Determine the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0066] In this embodiment, the product value of the total resource allocation value and the resource allocation ratio can be determined as the resource allocation value of the target area. Exemplarily, in this embodiment, the resource allocation ratio can be expressed as , then the formula can be used Determine the resource allocation value of the target area.

[0067] In this embodiment, according to the basic resource allocation ratio, resource allocation correction ratio, and adjustment coefficient corresponding to the index parameters of the power grid condition in the target area, the resource allocation ratio of the target area can be accurately obtained. Thus, according to the product value of the total resource allocation value and the resource allocation ratio of the target area, the resource allocation value of the target area can be accurately determined, ensuring the accuracy of the determined resource allocation value of the target area.

[0068] In this embodiment, the acquisition processes of the correction parameter for the resource allocation control of the target area and the correction parameter for the resource allocation efficiency of the target area will be explained in detail. In one embodiment, as Figure 4 shown, the above method further includes:

[0069] S401, obtain the correction parameter for resource allocation control according to the resource allocation control quantization value of the target area and the correction threshold for resource allocation control.

[0070] Optionally, the resource allocation control quantization value of the target area in this embodiment may include the resource allocation control quantization value of the target area, the maximum value of the resource allocation control quantization value of the target area, and the minimum value of the resource allocation control quantization value of the target area. As an alternative implementation, in this embodiment, the correction parameter for resource allocation control of the target area can be obtained according to the formula , where, represents the correction parameter for resource allocation control of the target area, represents the resource allocation control quantization value of the target area, represents the average value of the resource allocation control quantization value of the target area, represents the maximum value of the resource allocation control quantization value of the target area, represents the minimum value of the resource allocation control quantization value of the target area, represents the correction threshold for resource allocation control of the target area.

[0071] S402, obtain the correction parameter for resource allocation efficiency according to the resource allocation efficiency quantization value of the target area and the correction threshold for resource allocation efficiency.

[0072] Optionally, the resource allocation efficiency quantization value of the target area in this embodiment may include the resource allocation efficiency quantization value of the target area, the maximum value of the resource allocation efficiency quantization value of the target area, and the minimum value of the resource allocation efficiency quantization value of the target area. As an alternative implementation, in this embodiment, the correction parameter for resource allocation efficiency of the target area can be obtained according to the formula , where, A correction parameter representing the resource allocation efficiency of the target area, A quantified value representing the resource allocation efficiency of the target area, An average value of the quantified values of the resource allocation efficiency of the target area, A maximum value of the quantified values of the resource allocation efficiency of the target area, A minimum value of the quantified values of the resource allocation efficiency of the target area, A correction threshold representing the resource allocation efficiency of the target area.

[0073] In this embodiment, according to the quantified value of resource allocation control in the target area and the correction threshold of resource allocation control, the correction parameter of resource allocation control in the target area can be quickly and accurately obtained. According to the quantified value of resource allocation efficiency in the target area and the correction threshold of resource allocation efficiency, the correction parameter of resource allocation efficiency in the target area can be quickly and accurately obtained, ensuring the efficiency and accuracy of obtaining the correction parameter of resource allocation control and the correction parameter of resource allocation efficiency in the target area.

[0074] Based on the above embodiment, after determining the resource allocation value of the target area, the optimal resource allocation plan for the target resources in the target area can also be determined. The detailed process of determining the optimal resource allocation plan for the target resources in the target area will be explained in this embodiment. In one embodiment, as Figure 5 shown, the above method further includes:

[0075] S501, establishing a judgment matrix according to the scale index of the optimal resource allocation quantification system.

[0076] Among them, the scale index of the optimal resource allocation quantification system may include power supply reliability, economic efficiency, green energy conservation, safety efficiency, construction index, etc.

[0077] Optionally, the power supply reliability may include the following parameters:

[0078] 1) Average load rate of main transformers in the target area before resource allocation (main transformer): , where is the average load rate of main transformers in the target area, is the average load rate of each main transformer in the target area, is the number of main transformers in the target area.

[0079] 2) Load ratio of main transformers in the target area before resource allocation (main transformer), load ratio of main transformers in the target area after resource allocation (main transformer): , where is the load ratio of a certain voltage level, is the total capacity of step-down transformers of a certain voltage level, is the maximum step-down load at this voltage level in each region. The total capacity of step-down transformers only considers the off-grid capacity, that is, the substation capacity with the maximum on-grid load greater than the maximum off-grid load is deducted.

[0080] 3) Average load rate of main transformers before resource allocation (main transformers): , where is the annual equivalent average load rate of the substation, is the annual equivalent average load of the station, is the rated capacity of the power station.

[0081] 4) Maximum load rate of main transformers before resource allocation (main transformers): , where is the annual equivalent maximum load rate of the substation, is the annual equivalent maximum load of the station, is the rated capacity of the power station.

[0082] 5) Annual average growth rate of load in the next 5 years after resource allocation (main transformers) , where is the annual average growth rate of load in 5 years, is the load at the end year, is the load at the first year.

[0083] 6) Average load rate of main transformers within 3 years after resource allocation (main transformers): , where is the average load rate of main transformers within 3 years, is the average load of main transformers within 3 years, is the rated capacity of main transformers.

[0084] 7) Maximum load rate of main transformers after resource allocation (main transformers): , where is the annual maximum load rate of main transformers, is the annual maximum load of main transformers at the station, is the rated capacity of main transformers.

[0085] 8) Average load rate of lines in the target area before resource allocation (lines): , where is the average load rate of lines in the target area, is the average load rate of each line, is the number of lines.

[0086] 9) Average load rate of lines within 3 years after resource allocation (lines): , where is the average load rate of lines within 3 years, is the power supply of lines within 3 years, is the rated available power supply of lines within 3 years.

[0087] Optionally, the economic efficiency may include the following parameters:

[0088] 1) Electricity investment (main transformer, line): , where is the electricity investment of the project, is the project engineering cost, is the total transmitted electricity during the project operation period.

[0089] 2) Line loss rate (line): , where is the line loss rate, is the line loss electricity, is the power supply.

[0090] Optionally, the green energy conservation may include the following parameters:

[0091] 1) New energy grid connection channel utilization rate (main transformer, line): , where is the new energy grid connection channel utilization rate, is the total transmitted electricity of the new energy grid connection transmission system within a given time interval, is the rated transmission capacity, is the channel utilization time, is the total time.

[0092] 2) Emission reduction efficiency (main transformer, line): , where is the energy conservation and emission reduction efficiency, is the sent-out new energy electricity, is the energy conservation and emission reduction efficiency per unit of new energy power.

[0093] 3) Renewable energy sent-out electricity (main transformer, line): This indicator reflects the situation of the project to improve the sent-out electricity of renewable energy power generation. After the new construction / expansion of the main transformer, the expected newly added sent-out electricity of renewable energy power generation in the target area.

[0094] Optionally, in this embodiment, the safety efficiency, construction indicators, etc. can be determined according to the actual situation of the target area.

[0095] Optionally, in this embodiment, the scale indicators of the resource allocation optimization quantification system can be added to various types of the judgment matrix, and based on the relationship between adjacent scale indicators, a judgment matrix is established.

[0096] S502, Determine the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix.

[0097] Optionally, in this embodiment, the normalized value of each column of the judgment matrix can be calculated according to the formula and according to the formula Calculate the average value of each row to obtain the weight coefficient , further, the weight vector is determined as the weight of each element in each row of the judgment matrix.

[0098] S503. Determine the weight value of each resource allocation optimization plan according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization plan.

[0099] Among them, the hierarchical weight of each resource allocation optimization plan refers to the weight of the plan layer for each index of the criterion layer. Optionally, in this embodiment, the weight value of each resource allocation optimization plan can be determined according to the formula . In the formula, is the weight value of the th resource allocation optimization plan, is the number of indexes, is the weight of each element in each row of the judgment matrix, that is, the weight of the criterion layer for the target layer, is the weight of the plan layer for each index of the criterion layer, is the number of resource allocation optimization plans.

[0100] S504. Determine the target resource allocation optimization plan according to the weight value of each resource allocation optimization plan.

[0101] Optionally, in this embodiment, the resource allocation optimization plans can be sorted according to the weight values of the resource allocation priority plans, and the resource allocation optimization plan with the highest weight value is determined as the target resource allocation optimization plan.

[0102] In this embodiment, using the analytic hierarchy process, a judgment matrix can be established according to the scale index of the resource allocation optimization quantization system, fully considering the influence of qualitative factors, effectively using the scale index, thereby improving the rationality of determining the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix, being suitable for multi-objective decision-making, and then accurately determining the weight value of each resource allocation optimization plan according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization plan, so that the target resource allocation priority plan can be reasonably and accurately determined according to the weight value of each resource allocation priority plan.

[0103] In this embodiment, the detailed process of establishing the judgment matrix will be explained. In one embodiment, as Figure 6 shown, the above S501 includes:

[0104] S601. Add the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix.

[0105] Among them, constructing the judgment matrix is to construct a pairwise comparison judgment matrix between adjacent levels of the hierarchical structure (multi-level), and then determine the importance ranking of each relevant element at a certain level with respect to the upper-level element. The factors included in the optimal resource allocation plan can be divided into different levels, such as the goal level, the criterion level, the plan level, etc., to construct a hierarchical structure model. Optionally, the hierarchical analysis model is designed as a three-layer hierarchical structure, corresponding to the 1-9 scale indicators of the optimal resource allocation evaluation system, and the specific evaluation indicators at each layer are the elements. Specifically, there is 1 element in the first layer of the hierarchical analysis model, corresponding to the project score in the first-level indicator. Similarly, there are 5 elements in the second-level indicator corresponding to 5 indicators, namely power supply reliability, power grid security, green energy conservation, economic benefits, and construction indicators; there are 21 elements in the third layer corresponding to 21 indicators.

[0106] Optionally, in this embodiment, the above scale indicators can be added to each layer of the judgment matrix, and the scale indicators in each layer are used as elements.

[0107] S602. For each layer of the judgment matrix, a judgment matrix is established according to the importance ratio between adjacent elements in each layer.

[0108] In this embodiment, for each layer of the judgment matrix, the N elements in this layer can be compared pairwise to calculate the importance ratio of the element relative to the element . The importance ratios of the N elements pairwise relative to the upper-level element form a matrix A, that is: , where A is the judgment matrix, is the importance of the element relative to the element.

[0109] In this embodiment, according to the hierarchical structure of the judgment matrix, the process of adding the scale indicators to each layer of the judgment matrix is relatively simple. Therefore, for each layer of the judgment matrix, a judgment matrix can be quickly established according to the importance ratio between adjacent elements in each layer, improving the efficiency of establishing the judgment matrix.

[0110] It should be understood that although the steps in the flowcharts involved in the above embodiments are sequentially shown according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear indication in this article, there is no strict order limit for the execution of these steps, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0111] Based on the same inventive concept, an embodiment of the present application also provides a power grid resource allocation determination device for implementing the power grid resource allocation determination method involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the power grid resource allocation determination device provided below can refer to the limitations on the power grid resource allocation determination method in the above text, and will not be repeated here.

[0112] In an exemplary embodiment, as Figure 7 shown, a power grid resource allocation determination device is provided, including: a first acquisition module, a second acquisition module, and a first determination module, where:

[0113] The first acquisition module is used to obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter.

[0114] The second acquisition module is used to obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area.

[0115] The first determination module is used to determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0116] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, and will not be repeated here.

[0117] On the basis of the above embodiment, optionally, the above first determination module includes: an acquisition unit and a determination unit, where:

[0118] The acquisition unit is used to obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient.

[0119] A determination unit, configured to determine a resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0120] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here.

[0121] Based on the above embodiment, optionally, the above acquisition unit is configured to acquire the resource allocation ratio according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model.

[0122] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here.

[0123] Based on the above embodiment, optionally, the above device further includes: a third acquisition module and a fourth acquisition module, where:

[0124] The third acquisition module is configured to acquire a correction parameter for resource allocation control according to the resource allocation control quantization value of the target area and the correction threshold of resource allocation control.

[0125] The fourth acquisition module is configured to acquire a correction parameter for resource allocation efficiency according to the resource allocation efficiency quantization value of the target area and the correction threshold of resource allocation efficiency.

[0126] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here.

[0127] Based on the above embodiment, optionally, the above device further includes: a establishment module, a second determination module, a third determination module, and a fourth determination module, where:

[0128] The establishment module is configured to establish a judgment matrix according to the scale index of the resource allocation optimization quantization system.

[0129] The second determination module is configured to determine the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix.

[0130] The third determination module is configured to determine the weight value of each resource allocation optimization scheme according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization scheme.

[0131] The fourth determination module is configured to determine the target resource allocation optimization scheme according to the weight value of each resource allocation optimization scheme.

[0132] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0133] Based on the above embodiment, optionally, the above establishment module includes: an adding unit and an establishing unit, where:

[0134] The adding unit is configured to add scale indicators to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix.

[0135] The establishing unit is configured to establish a judgment matrix for each layer of the judgment matrix according to the importance ratio between adjacent elements in each layer.

[0136] The power grid resource allocation determination device provided in this embodiment can execute the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here.

[0137] Each module in the above power grid resource allocation determination device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0138] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0139] Obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight and the dimension weight of the index parameter of the power grid condition in the target area;

[0140] Obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area;

[0141] Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0142] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0143] Obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient;

[0144] Determine the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0145] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0146] Obtain the resource allocation ratio according to the basic resource allocation ratio, the resource configuration correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model.

[0147] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0148] Obtain the correction parameter of resource configuration control according to the quantization value of resource configuration control in the target area and the correction threshold of resource configuration control;

[0149] Obtain the correction parameter of resource configuration efficiency according to the quantization value of resource configuration efficiency in the target area and the correction threshold of resource configuration efficiency.

[0150] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0151] Establish a judgment matrix according to the scale index of the resource configuration optimization quantization system;

[0152] Determine the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix;

[0153] Determine the weight value of each resource configuration optimization plan according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource configuration optimization plan;

[0154] Determine the target resource configuration optimization plan according to the weight value of each resource configuration optimization plan.

[0155] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0156] Add the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix;

[0157] For each layer of the judgment matrix, establish a judgment matrix according to the importance ratio between adjacent elements in each layer.

[0158] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0159] Obtain the corresponding basic resource allocation ratio of the index parameter according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter;

[0160] Obtain the resource configuration correction ratio of the target area according to the correction parameter of resource configuration control and the correction parameter of resource configuration efficiency in the target area;

[0161] Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0162] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0163] Obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient;

[0164] Determine the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0165] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0166] Obtain the resource allocation ratio according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model.

[0167] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0168] Obtain the correction parameter of resource allocation control according to the resource allocation control quantization value of the target area and the correction threshold of resource allocation control;

[0169] Obtain the correction parameter of resource allocation efficiency according to the resource allocation efficiency quantization value of the target area and the correction threshold of resource allocation efficiency.

[0170] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0171] Establish a judgment matrix according to the scale index of the resource allocation optimization quantization system;

[0172] Determine the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix;

[0173] Determine the weight value of each resource allocation optimization scheme according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization scheme;

[0174] Determine the target resource allocation optimization scheme according to the weight value of each resource allocation optimization scheme.

[0175] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0176] Add the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix;

[0177] For each layer of the judgment matrix, a judgment matrix is established according to the importance ratio between adjacent elements in each layer.

[0178] In one embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the following steps:

[0179] Obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight and the dimension weight of the index parameter of the power grid condition in the target area;

[0180] Obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area;

[0181] Determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

[0182] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0183] Obtain the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient;

[0184] Determine the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

[0185] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0186] Obtain the resource allocation ratio according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model;

[0187] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0188] Obtain the correction parameter of the resource allocation control according to the quantization value of the resource allocation control and the correction threshold of the resource allocation control in the target area;

[0189] Obtain the correction parameter of the resource allocation efficiency according to the quantization value of the resource allocation efficiency and the correction threshold of the resource allocation efficiency in the target area.

[0190] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0191] Establish a judgment matrix according to the scale index of the resource allocation optimization quantization system;

[0192] Determine the weights of each element in each row of the judgment matrix according to the normalized values of each column of the judgment matrix;

[0193] Determine the weight values of each optimal resource allocation plan according to the weights of each element in each row of the judgment matrix and the hierarchical weights of each optimal resource allocation plan;

[0194] Determine the optimal target resource allocation plan according to the weight values of each optimal resource allocation plan.

[0195] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0196] Add the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix;

[0197] For each layer of the judgment matrix, establish a judgment matrix according to the importance ratio between adjacent elements in each layer.

[0198] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0199] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present application.

[0200] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for determining power grid resource allocation, characterized in that, The method includes: Obtaining the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter; Obtaining the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area; Determining the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

2. The method according to claim 1, wherein The determining the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area includes: Obtaining the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient; Determining the resource allocation value according to the product value of the total resource allocation value and the resource allocation ratio.

3. The method according to claim 2, wherein The obtaining the resource allocation ratio of the target area according to the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient includes: Obtaining the resource allocation ratio according to the basic resource allocation ratio, the resource allocation correction ratio, the adjustment coefficient, and the resource allocation ratio calculation model.

4. The method according to claim 1, wherein The method further includes: Obtaining the correction parameter of the resource allocation control according to the quantification value of the resource allocation control and the correction threshold of the resource allocation control in the target area; Obtaining the correction parameter of the resource allocation efficiency according to the quantification value of the resource allocation efficiency and the correction threshold of the resource allocation efficiency in the target area.

5. The method according to any one of claims 1 to 4, characterized in that, The method further includes: Establishing a judgment matrix according to the scale index of the resource allocation optimization quantification system; Determining the weight of each element in each row of the judgment matrix according to the normalized value of each column of the judgment matrix; Determining the weight value of each resource allocation optimization scheme according to the weight of each element in each row of the judgment matrix and the hierarchical weight of each resource allocation optimization scheme; Determining the target resource allocation optimization scheme according to the weight value of each resource allocation optimization scheme.

6. The method according to claim 5, characterized in that, The establishing a judgment matrix according to the scale index of the resource allocation optimization quantification system includes: Adding the scale index to each layer of the judgment matrix according to the hierarchical structure of the judgment matrix; For each layer of the judgment matrix, establishing the judgment matrix according to the importance ratio between adjacent elements in each layer.

7. A device for determining power grid resource allocation, characterized in that, The device includes: A first obtaining module, configured to obtain the basic resource allocation ratio corresponding to the index parameter according to the comprehensive influence weight of the index parameter of the power grid condition in the target area and the dimension weight of the index parameter; A second obtaining module, configured to obtain the resource allocation correction ratio of the target area according to the correction parameter of the resource allocation control and the correction parameter of the resource allocation efficiency in the target area; A first determining module, configured to determine the resource allocation value of the target area according to the total resource allocation value, the basic resource allocation ratio, the resource allocation correction ratio, and the adjustment coefficient of the target area.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 6.

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