Power distribution network project priority determination method, apparatus and device, and readable storage medium

Abstract

The invention relates to a power distribution network project priority determination method and device, equipment and a readable storage medium. The method comprises the following steps: obtaining virtual resources to be distributed of large-area users, evaluation indexes of power distribution network project groups of community users, sub-evaluation indexes of power distribution network projects, an increased electricity sales prediction value, an increased supply load prediction value, a medium-voltage line length, a distribution transformer capacity, a power supply reliability rate, a comprehensive line loss rate and a net asset return rate; inputting the evaluation index and other data into a pre-constructed distribution proportion division model to obtain the distribution proportion of each cell user, then obtaining the distribution virtual resource of each to-be-determined power distribution network project according to the to-be-distributed virtual resource and the distribution proportion, and improving the effect evaluation index of each to-be-determined power distribution network project based on the distribution virtual resource and the sub-power distribution network. And obtaining decision information of each to-be-determined power distribution network project, and determining the priority of each power distribution network project according to the decision information and a preset constraint condition. By adopting the method, the accuracy of determining the power distribution network project priority can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of project optimization, and in particular to a method, apparatus, computer equipment, computer-readable storage medium and computer program product for determining the priority of distribution network projects. Background Art

[0002] With the development of project optimization technology, investment decision optimization methods based on project evaluation and ranking have emerged. They are usually used in the investment management of large-scale infrastructure projects or enterprises, and mainly focus on three aspects: project group determination and ranking, optimization adjustment and monitoring, and project determination and ranking.

[0003] However, the current investment decision optimization method based on project evaluation and ranking has the problem of inaccurate results. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product that can objectively determine the priority of distribution network projects in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for determining the priority of distribution network projects, comprising:

[0006] Obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; among which, the small area belongs to the large area;

[0007] The distribution network improvement effect evaluation index, the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate are input into the pre-built virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the virtual resource allocation ratio division model;

[0008] According to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the ranking decision information of each distribution network project to be determined is obtained;

[0009] The priority of each distribution network project to be determined is determined based on the sorting decision information and the preset virtual resource allocation constraints.

[0010] In one embodiment, obtaining the virtual resource allocation ratio of each cell user through the virtual resource allocation ratio division model includes:

[0011] The distribution network index and the corresponding distribution network index evaluation standard of each community user are obtained through the acquisition module in the virtual resource allocation ratio partitioning model, and the distribution network index and the corresponding distribution network index evaluation standard are input into the decision information acquisition module in the virtual resource allocation ratio partitioning model;

[0012] According to the distribution network indicators, the distribution network indicator evaluation criteria and the indicator weights pre-set for the distribution network indicators, the virtual resource allocation decision information is obtained through the decision information acquisition module;

[0013] The virtual resource allocation decision information is input into a ratio determination module in the virtual resource allocation ratio division model, and the virtual resource allocation ratio of each cell user is obtained through the ratio determination module.

[0014] In one of the embodiments, the distribution network index includes a distribution network improvement effect index, a distribution network power supply level index, a distribution network scale index, a distribution network operation level index, and a distribution network profitability index;

[0015] Through the acquisition module in the virtual resource allocation ratio division model, the distribution network indicators of each community user and the corresponding distribution network indicator evaluation criteria are obtained, including:

[0016] The distribution network improvement effect evaluation index is input into the acquisition module, and the distribution network improvement effect index and the corresponding distribution network improvement effect index evaluation standard are obtained through the acquisition module;

[0017] Input the distribution network increased power sales forecast value and the distribution network increased load forecast value into the acquisition module, and obtain the distribution network power supply level index and the corresponding distribution network power supply level index evaluation standard through the acquisition module;

[0018] Input the medium voltage line length and the distribution transformer capacity into the acquisition module, and obtain the distribution network scale index and the corresponding distribution network scale index evaluation standard through the acquisition module;

[0019] The power supply reliability rate and the comprehensive line loss rate are input into the acquisition module, and the distribution network operation level index and the corresponding distribution network operation level index evaluation standard are obtained through the acquisition module;

[0020] The return on net assets is input into the acquisition module, and the distribution network profitability index and the corresponding distribution network profitability index evaluation standard are obtained through the acquisition module.

[0021] In one embodiment, the predicted value of the increased power sales of the distribution network and the predicted value of the increased load supplied by the distribution network are input into the acquisition module, and the power supply level index of the distribution network is obtained through the acquisition module, including:

[0022] By obtaining a first weight pre-set in the module for the distribution network's predicted value of increased power sales and a second weight pre-set for the distribution network's predicted value of increased load supply, the distribution network's predicted value of increased power sales and the distribution network's predicted value of increased load supply are weightedly summed to obtain a distribution network power supply level indicator.

[0023] In an exemplary embodiment, the length of the medium voltage line and the capacity of the distribution transformer are input into an acquisition module, and the distribution network scale index is acquired through the acquisition module, including:

[0024] By obtaining a third weight preset for the medium voltage line length and a fourth weight preset for the distribution transformer capacity in the module, weighted summation is performed on the medium voltage line length and the distribution transformer capacity to obtain a distribution network scale indicator.

[0025] In one embodiment, the power supply reliability rate and the comprehensive line loss rate are input into an acquisition module, and the distribution network operation level index is obtained through the acquisition module, including:

[0026] By obtaining the fifth weight preset for the power supply reliability rate and the sixth weight preset for the comprehensive line loss rate in the module, the power supply reliability rate and the comprehensive line loss rate are weightedly summed to obtain the distribution network operation level index.

[0027] In one embodiment, the distribution network improvement effect evaluation index of the distribution network project group to be determined by the community user and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined are obtained by the following steps:

[0028] Obtaining historical implementation data of the distribution network project group to be determined, and historical implementation sub-data of the distribution network project to be determined; the historical implementation data includes original distribution network operation status data before the distribution network project group to be determined is put into operation, and distribution network operation status data after the distribution network project group to be determined is put into operation; the historical implementation sub-data includes original distribution network operation status sub-data before the distribution network project to be determined is put into operation, and distribution network operation status sub-data after the distribution network project to be determined is put into operation;

[0029] According to the original distribution network operation status data and the distribution network operation status data, a plurality of distribution network improvement degree evaluation indicators are obtained, and based on the original distribution network operation status sub-data and the distribution network operation status sub-data, a plurality of sub-distribution network improvement degree evaluation indicators are obtained;

[0030] Using a preset normalization coefficient, dimensionless processing is performed on each distribution network improvement degree evaluation index and sub-distribution network improvement degree evaluation index to obtain the processed distribution network improvement degree evaluation index and sub-distribution network improvement degree evaluation index;

[0031] Based on the pre-set indicator weights for each distribution network improvement degree evaluation indicator, each processed distribution network improvement degree evaluation indicator and the pre-set evaluation criteria, the distribution network improvement effect evaluation index is obtained.

[0032] According to the pre-set indicator weight for each sub-distribution network improvement degree evaluation indicator, each processed sub-distribution network improvement degree evaluation indicator and the pre-set evaluation standard, the sub-distribution network improvement effect evaluation index is obtained.

[0033] In a second aspect, the present application also provides a distribution network project priority determination device, comprising:

[0034] The data acquisition module is used to obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; among which, the small area belongs to the large area;

[0035] The allocation ratio determination module is used to input the distribution network improvement effect evaluation index, the distribution network increased power sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into the pre-built virtual resource allocation ratio division model, and obtain the virtual resource allocation ratio of each community user through the virtual resource allocation ratio division model;

[0036] A sorting decision information acquisition module is used to obtain the allocated virtual resources of each distribution network project to be determined according to the virtual resources to be allocated and the virtual resource allocation ratio, and to obtain the sorting decision information of each distribution network project to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index;

[0037] The priority determination module is used to determine the priority of each distribution network project to be determined based on the sorting decision information and the preset virtual resource allocation constraints.

[0038] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] Obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; among which, the small area belongs to the large area;

[0040] The distribution network improvement effect evaluation index, the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate are input into the pre-built virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the virtual resource allocation ratio division model;

[0041] According to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the ranking decision information of each distribution network project to be determined is obtained;

[0042] The priority of each distribution network project to be determined is determined based on the sorting decision information and the preset virtual resource allocation constraints.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0044] Obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; among which, the small area belongs to the large area;

[0045] The distribution network improvement effect evaluation index, the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate are input into the pre-built virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the virtual resource allocation ratio division model;

[0046] According to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the ranking decision information of each distribution network project to be determined is obtained;

[0047] The priority of each distribution network project to be determined is determined based on the sorting decision information and the preset virtual resource allocation constraints.

[0048] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0049] Obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; among which, the small area belongs to the large area;

[0050] The distribution network improvement effect evaluation index, the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate are input into the pre-built virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the virtual resource allocation ratio division model;

[0051] According to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the ranking decision information of each distribution network project to be determined is obtained;

[0052] The priority of each distribution network project to be determined is determined based on the sorting decision information and the preset virtual resource allocation constraints.

[0053] The above-mentioned distribution network project priority determination method, device, computer equipment, computer-readable storage medium and computer program product obtain the distribution network improvement effect evaluation index of the distribution network project group to be determined for the users in the large area, the distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase sales power forecast value, distribution network increase supply load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate of each community user, and calculate the distribution network improvement effect evaluation index, distribution network increase sales power forecast value, distribution network increase supply load forecast value. , medium voltage line length, distribution transformer capacity, power supply reliability, comprehensive line loss rate and net asset return rate are input into the pre-built virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the virtual resource allocation ratio division model. Then, according to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the sorting decision information of each distribution network project to be determined is obtained. Finally, according to the sorting decision information and the preset virtual resource allocation constraint conditions, the priority of each distribution network project to be determined is determined. By increasing the basic data used to determine the virtual resource allocation ratio, and the basic data has strong accessibility, the accuracy of determining the priority of distribution network projects is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0055] FIG1 is an application environment diagram of a method for determining priority of distribution network projects in one embodiment;

[0056] FIG2 is a schematic diagram of a flow chart of a method for determining priorities of distribution network projects in one embodiment;

[0057] FIG3 is an index table for obtaining a distribution network improvement effect evaluation index in one embodiment;

[0058] FIG4 is a partial model schematic diagram of a virtual resource allocation ratio partitioning model in another embodiment;

[0059] FIG5 is a structural block diagram of a device for determining priority of distribution network projects in one embodiment;

[0060] FIG. 6 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with 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.

[0062] The method for determining the priority of distribution network projects provided in the embodiment of the present application can be applied to the application environment shown in FIG1. ​​Therein, a large region has multiple small communities under its jurisdiction, a master control terminal for managing virtual resource allocation is installed in the large region, and a terminal for managing virtual resource allocation of each project is installed in the small community, and the terminal and the master control terminal communicate with the server 102 through the network. The data storage system can store data that the server 102 needs to process. The data storage system can be integrated on the server 102, or it can be placed on the cloud or other network servers. The server 102 obtains the virtual resources to be allocated of the users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined of the users in the community, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium-voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate of each user in the community, and inputs the distribution network improvement effect evaluation index, the distribution network increase power sales forecast value, the distribution network increase load forecast value, the medium-voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into a pre-constructed virtual resource allocation ratio division model, and obtains the virtual resource allocation ratio of each user in the community through the virtual resource allocation ratio division model, and then obtains the allocated virtual resources of each distribution network project to be determined according to the virtual resources to be allocated and the virtual resource allocation ratio, and obtains the decision information of each distribution network project to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, and finally determines the priority of each distribution network project to be determined according to the decision information and the preset virtual resource allocation constraint conditions. The terminals and the master control terminal may be, but are not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, etc. The server 102 may be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0063] In an exemplary embodiment, as shown in FIG2 , a method for determining the priority of distribution network projects is provided, which is described by taking the method applied to the server 102 in FIG1 as an example, and includes the following steps S201 to S204. Among them:

[0064] Step S201, obtaining the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate of users in each small area; wherein, the small area belongs to the large area.

[0065] Among them, the region can be understood as a provincial area, and the users of the region can be understood as provincial and municipal distribution companies, which are responsible for the resource flow of virtual resources of the distribution project group in a region, as well as the resource flow of virtual resources of each distribution project; the community can be understood as a lower-level town area, and the users of the community can be understood as a municipal distribution company, which distributes the received virtual resources in proportion to the distribution projects under its jurisdiction. The distribution network improvement effect evaluation index can be understood as a linear measurement parameter of the improvement effect of the distribution network achieved after the operation of the distribution project group, and the sub-distribution network improvement effect evaluation parameter index can be understood as a linear measurement parameter of the improvement effect of the distribution network achieved after the operation of the distribution project; the distribution transformer capacity can be understood as the rated capacity of the distribution transformer, which indicates the maximum electric power that the distribution transformer can safely carry under normal working conditions.

[0066] The power supply reliability rate can be understood as the reliability index of the power supply required by users within a specific period, usually expressed as a percentage. It reflects the stability and reliability of power supply by evaluating the frequency and duration of power supply failures. The power supply reliability rate can be calculated by the following formula: Power supply reliability rate = (1-power outage time / total time) × 100%, where the power outage time includes the total duration of power outages caused by equipment failure, maintenance, natural disasters, etc., and the total time is the total duration of the observation period (usually annual); the comprehensive line loss rate can be understood as the ratio of the loss (such as heat loss, induction loss, radiation loss, etc.) caused by the current in the power transmission and distribution process within a certain period of time to the total power supply. It can be expressed by the formula: comprehensive line loss rate = total line loss power supply × 100%, where line loss refers to the energy loss caused by the resistance of the conductor during the transmission of power; the return on net assets can be understood as a key financial indicator to measure the profitability of a company, which represents the ratio between the net profit of an enterprise and the net assets of shareholders in a certain period of time.

[0067] For example, the server 102 obtains the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the community, and the sub-distribution network improvement effect evaluation index of each distribution network project to be removed, as well as the distribution network increase sales forecast value, distribution network increase supply load forecast value, medium voltage line length, distribution transformer capacity, power supply consideration, comprehensive line loss rate and net asset return rate of users in each community. By obtaining basic data from multiple sources, a data foundation is laid for the subsequent determination of the virtual resource allocation ratio of users in each community, thereby enhancing the reliability and accuracy of determining the priority of the distribution network projects to be determined.

[0068] Step S202, input the distribution network improvement effect evaluation index, the distribution network increased electricity sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into a pre-constructed virtual resource allocation ratio division model, and obtain the virtual resource allocation ratio of each community user through the virtual resource allocation ratio division model.

[0069] Among them, the virtual resource allocation ratio can be understood as the allocation ratio of each community user to each distribution network project, and this allocation ratio is relative to the proportion of total virtual resources.

[0070] Optionally, the server 102 inputs the distribution network improvement effect evaluation index, the distribution network increased power sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into the pre-built virtual resource allocation ratio division model, and obtains the virtual resource allocation ratio of each community user through the virtual resource allocation ratio division model. The virtual resource allocation ratio of each community user is calculated through multi-source data, which enhances the credibility of the virtual resource allocation ratio and lays a data foundation for the subsequent acquisition of the sorting decision information of the distribution network project to be determined.

[0071] Step S203, obtaining the allocated virtual resources of each distribution network project to be determined according to the virtual resources to be allocated and the virtual resource allocation ratio, and obtaining the ranking decision information of each distribution network project to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index.

[0072] Step S204: determining the priority of each distribution network project to be determined according to the sorting decision information and the preset virtual resource allocation constraint condition.

[0073] The virtual resource allocation constraint condition may be understood as the total amount of virtual resources obtained by the cell users.

[0074] For example, the server 102 obtains the allocated virtual resources of each distribution network project to be determined based on the virtual resources to be allocated and the virtual resource allocation ratio, and obtains the sorting decision information of each distribution network project to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, and finally determines the priority of each distribution network project to be determined based on the sorting decision information and the preset virtual resource allocation constraint. The above method helps to improve the accuracy of determining the priority of the distribution network project to be determined, helps to help community users adjust the priority allocation of virtual resources, and ensures the efficiency of the system.

[0075] In the above distribution network project priority determination method, by obtaining the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the community, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase sales power forecast value, distribution network increase supply load forecast value, medium-voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate of users in each community, the distribution network improvement effect evaluation index, the distribution network increase sales power forecast value, the distribution network increase supply load forecast value, medium-voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate are input into a pre-constructed virtual resource allocation ratio division model, and the virtual resource allocation ratio of users in each community is obtained through the virtual resource allocation ratio division model. Then, according to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each distribution network project to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the decision information of each distribution network project to be determined is obtained. Finally, according to the decision information and the preset virtual resource allocation constraint conditions, the priority of each distribution network project to be determined is determined. By increasing the basic data used to determine the virtual resource allocation ratio, and the basic data has strong accessibility, the accuracy of determining the priority of distribution network projects is improved.

[0076] In one embodiment, the virtual resource allocation ratio of each cell user is obtained through the virtual resource allocation ratio division model, including:

[0077] The distribution network index and the corresponding distribution network index evaluation standard of each community user are obtained through the acquisition module in the virtual resource allocation ratio division model, and the distribution network index and the corresponding distribution network index evaluation standard are input into the decision information acquisition module in the virtual resource allocation ratio division model; according to the distribution network index, the distribution network index evaluation standard and the index weights pre-set for the distribution network index, the virtual resource allocation decision information is obtained through the decision information acquisition module; the virtual resource allocation decision information is input into the ratio determination module in the virtual resource allocation ratio division model, and the virtual resource allocation ratio of each community user is obtained through the ratio determination module.

[0078] Among them, distribution network indicators can be understood as factors that have a greater impact on virtual resource allocation.

[0079] Optionally, the server 102 obtains the distribution network index and the corresponding distribution network index evaluation standard of each cell user through the acquisition module in the virtual resource allocation ratio division model, and inputs the distribution network index and the corresponding distribution network index evaluation standard into the decision information acquisition module in the virtual resource allocation ratio division model, and the decision information acquisition module obtains virtual resource allocation decision information according to the distribution network index, the distribution network index evaluation standard and the index weight pre-set for the distribution network index, and finally inputs the virtual resource allocation decision information into the ratio determination module in the virtual resource allocation ratio division model, and obtains the virtual resource allocation ratio of each cell user through the ratio determination module. By obtaining the distribution network index that can fully reflect the various characteristics of the cell users and using it as the basis for the subsequent acquisition of the remaining data, the virtual resource allocation ratio output by the final model has high reliability, thereby improving the accuracy of determining the priority of each distribution network project.

[0080] In one of the embodiments, the distribution network index includes a distribution network improvement effect index, a distribution network power supply level index, a distribution network scale index, a distribution network operation level index, and a distribution network profitability index;

[0081] Through the acquisition module in the virtual resource allocation ratio division model, the distribution network indicators of each community user and the corresponding distribution network indicator evaluation criteria are obtained, including:

[0082] The distribution network improvement effect evaluation index is input into the acquisition module, and the distribution network improvement effect index and the corresponding distribution network improvement effect index evaluation standard are obtained through the acquisition module; the distribution network increased power sales forecast value and the distribution network increased load forecast value are input into the acquisition module, and the distribution network power supply level index and the corresponding distribution network power supply level index evaluation standard are obtained through the acquisition module; the medium voltage line length and distribution transformer capacity are input into the acquisition module, and the distribution network scale index and the corresponding distribution network scale index evaluation standard are obtained through the acquisition module; the power supply reliability rate and the comprehensive line loss rate are input into the acquisition module, and the distribution network operation level index and the corresponding distribution network operation level index evaluation standard are obtained through the acquisition module; the net asset return rate is input into the acquisition module, and the distribution network profitability index and the corresponding distribution network profitability index evaluation standard are obtained through the acquisition module.

[0083] For example, the distribution network improvement effect evaluation index is input into the acquisition module, and the distribution network improvement effect index and the corresponding distribution network improvement effect index evaluation standard are obtained through the acquisition module. At the same time, the distribution network increase in electricity sales forecast value and the distribution network increase in load forecast value are input into the acquisition module, and the distribution network power supply level index and the corresponding distribution network power supply level index evaluation standard are obtained through the acquisition module. Secondly, the medium voltage line length and distribution transformer capacity are input into the acquisition module, and the distribution network scale index and the corresponding distribution network scale index evaluation standard are obtained through the acquisition module. In addition, the power supply reliability rate and the comprehensive line loss rate are input into the acquisition module, and the distribution network operation level index and the corresponding distribution network operation level index evaluation standard are obtained through the acquisition module. Finally, the net asset return rate is input into the acquisition module, and the distribution network profitability index and the corresponding distribution network profitability index evaluation standard are obtained through the acquisition module. The data of the model is comprehensively input into the acquisition module in the virtual resource allocation ratio partitioning model, and it is summarized into five influencing factors, which reduces the steps of data processing to a certain extent. At the same time, when errors occur, they can be discovered and processed in time to enhance the robustness of the system.

[0084] In an exemplary embodiment, the distribution network's predicted value of increased power sales and the distribution network's predicted value of increased load supply are input into an acquisition module, and the distribution network's power supply level index is obtained through the acquisition module, including: taking a weighted sum of the distribution network's predicted value of increased power sales and the distribution network's predicted value of increased load supply by using a first weight pre-set in the acquisition module for the distribution network's predicted value of increased power sales and a second weight pre-set in the acquisition module for the distribution network's predicted value of increased load supply, to obtain the distribution network's power supply level index.

[0085] Optionally, the server 102 performs weighted summation on the distribution network increased power sales forecast value and the distribution network increased load forecast value by obtaining the first weight preset for the distribution network increased power sales forecast value and the second weight preset for the distribution network increased load forecast value in the acquisition module to obtain the distribution network power supply level index. By assigning matching weights to the distribution network increased power sales forecast value and the distribution network increased load forecast value that together constitute the distribution network power supply level index, and performing weighted summation, the credibility and effectiveness of the distribution network power supply level index are guaranteed.

[0086] In one embodiment, the medium voltage line length and the distribution transformer capacity are input into an acquisition module, and the distribution network scale index is obtained through the acquisition module, including: weighted summing the medium voltage line length and the distribution transformer capacity through a third weight pre-set for the medium voltage line length and a fourth weight pre-set for the distribution transformer capacity in the acquisition module to obtain the distribution network scale index.

[0087] For example, the server 102 obtains the distribution network scale index by weighted summing the medium voltage line length and the distribution transformer capacity by presetting the third weight for the medium voltage line length and the fourth weight for the distribution transformer capacity in the acquisition module. By assigning matching weights to the medium voltage line length and the distribution transformer capacity that together constitute the distribution network scale index and performing weighted summing, the credibility and validity of the distribution network scale index are guaranteed.

[0088] In one of the embodiments, the power supply reliability rate and the comprehensive line loss rate are input into an acquisition module, and the distribution network operation level index is obtained through the acquisition module, including: taking weighted sum of the power supply reliability rate and the comprehensive line loss rate through the fifth weight pre-set for the power supply reliability rate and the sixth weight pre-set for the comprehensive line loss rate in the acquisition module to obtain the distribution network operation level index.

[0089] Optionally, the server 102 performs weighted summation of the power supply reliability rate and the comprehensive line loss rate by using the fifth weight preset for the power supply reliability rate and the sixth weight preset for the comprehensive line loss rate to obtain the distribution network operation level index. By assigning matching weights to the power supply reliability rate and the comprehensive line loss rate that together constitute the distribution network operation level index, and performing weighted summation, the credibility and effectiveness of the distribution network operation level index are ensured.

[0090] In an exemplary embodiment, the distribution network improvement effect evaluation index of the distribution network project group to be determined of the community user and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined are obtained by:

[0091] Obtain the historical implementation data of the distribution network project group to be determined, and the historical implementation sub-data of the distribution network project to be determined; the historical implementation data include the original distribution network operation status data before the operation of the distribution network project group to be determined, and the distribution network operation status data after the operation of the distribution network project group to be determined; the historical implementation sub-data include the original distribution network operation status sub-data before the operation of the distribution network project to be determined, and the distribution network operation status sub-data after the operation of the distribution network project to be determined; obtain multiple distribution network improvement degree evaluation indicators based on the original distribution network operation status sub-data and the distribution network operation status sub-data, and obtain multiple distribution network improvement degree evaluation indicators based on the original distribution network operation status sub-data and the distribution network operation status sub-data. The improvement degree evaluation index of the distribution network is obtained; the improvement degree evaluation index of each distribution network and the improvement degree evaluation index of the sub-distribution network are dimensionlessly processed by using the pre-set normalization coefficient to obtain the distribution network improvement degree evaluation index and the sub-distribution network improvement degree evaluation index after processing; based on the pre-set indicator weights for each distribution network improvement degree evaluation index, the improvement degree evaluation index of each processed distribution network and the pre-set evaluation criteria, the distribution network improvement effect evaluation index is obtained; according to the pre-set indicator weights for each sub-distribution network improvement degree evaluation index, the improvement degree evaluation index of each processed sub-distribution network and the pre-set evaluation criteria, the sub-distribution network improvement effect evaluation index is obtained.

[0092] Among them, the normalization coefficient can be understood as the inverse of the improvement space of the indicator before implementation, and the improvement space is the difference between the indicator value before implementation and the ideal value. The evaluation index of the improvement degree of the distribution network and the evaluation index of the improvement degree of the sub-distribution network can be the same or different, and adaptive adjustments can be made according to the actual application situation.

[0093] For example, the server 102 obtains the original distribution network operation status data before the distribution network project group to be determined is operated, the distribution network operation status data after the distribution network project to be determined is operated, and the original distribution network operation status sub-data before the distribution network project to be determined is operated, and the distribution network operation status sub-data after the distribution network project to be determined is operated, and then obtains a plurality of distribution network improvement degree evaluation indicators based on the original distribution network operation status data and the distribution network operation status data, and obtains a plurality of sub-distribution network improvement degree evaluation indicators based on the original distribution network operation status sub-data and the distribution network operation status sub-data, and then uses a pre-set normalization coefficient, The improvement degree evaluation index of each distribution network and the improvement degree evaluation index of the sub-distribution network are dimensionless processed respectively to obtain the processed distribution network improvement degree evaluation index and the sub-distribution network improvement degree evaluation index. Finally, based on the pre-set indicator weights for each distribution network improvement degree evaluation index, each processed distribution network improvement degree evaluation index and the pre-set evaluation standard, the distribution network improvement effect evaluation index is obtained. In addition, based on the pre-set indicator weights for each sub-distribution network improvement degree evaluation index, each processed distribution network improvement degree evaluation index and the pre-set evaluation standard, the sub-distribution network improvement effect evaluation index is obtained. By unifying the dimensions of various operating status data, the data is made comparable, thereby enhancing the evaluability of the data and improving the data availability of the obtained distribution network improvement effect evaluation index and the sub-distribution network improvement effect evaluation index.

[0094] In an exemplary embodiment, a specific implementation of a method for determining the priority of distribution network projects is provided, as follows:

[0095] 1. Distribution network optimization effect evaluation system:

[0096] 1.1 Index system:

[0097] The improvement effect of the distribution network operation status needs to reflect the concerns of the relevant stakeholders of the distribution network, namely, the power supply reliability rate, the comprehensive voltage qualification rate, the comprehensive line loss rate and the equipment utilization rate (referred to as the "four rates"). The "four rates" can reflect the improvement results of the distribution network operation status, but cannot directly evaluate the operation status of the distribution network. Therefore, it is necessary to further analyze the factors affecting the "four rates" and select indicators that can clearly reflect the operation status of the distribution network.

[0098] From a macro perspective, the factors affecting the "four rates" can be divided into three aspects: network structure level, load supply capacity and equipment technology level. Using the fishbone diagram, we start from these three aspects to explore the specific factors affecting the "four rates", establish a distribution network operation status influencing factor system, determine the evaluation indicators, use the hierarchical analysis method to establish a distribution network improvement effect indicator system, and integrate the opinions of many experts. The Delphi method is used to give the indicator weights, as shown in Figure 3. It can be seen that Figure 3 and the data that appear later are all examples, and the method of this application is not limited to this case.

[0099] 1.2 Index calculation and evaluation criteria:

[0100] (1) Index calculation:

[0101] The evaluation index focuses on the improvement effect of the operating status of the distribution network, which can be calculated by the degree of change of the operating status indicators before and after the implementation of the project. However, since the various operating status indicators have different dimensions, the degree of change before and after the implementation of the project will also have different dimensions, and the indicators are not comparable. Therefore, in order to make the indicators form a unified dimension for easy evaluation, the normalization coefficient is used to non-dimensionalize each indicator. The normalization coefficient is defined as the reciprocal of the improvement space of the indicator before implementation, and the improvement space is the difference between the indicator value before implementation and the ideal value. The specific method of indicator calculation is as follows.

[0102] When the operating status indicator is a positive indicator, the ideal value of the indicator is 100%. Let N1 and N2 be the indicator values ​​before and after implementation, respectively. Then the normalization coefficient is The actual improvement value of the indicator is related to the change of the indicator value. The calculation of the distribution network improvement effect indicator value x is shown in formula ①.

[0103] ①

[0104] When the operating status indicator is a reverse indicator, the ideal value of the indicator is 0. and are the index values ​​before and after implementation, respectively, then the normalization coefficient is Similarly, the calculation formula of the distribution network improvement effect index value x' can be obtained, see formula ②.

[0105] ②

[0106] Through the above processing, each evaluation index has a unified dimension, is a positive index, and is comparable.

[0107] (2) Evaluation criteria:

[0108] The evaluation standard adopts the percentage system. All index values ​​are in percentage form. The linear relationship between the index value x and the evaluation index y is set, and the evaluation standard function y=100x can be obtained.

[0109] Finally, the distribution network improvement effect evaluation index can be calculated by combining the index values, index weights and evaluation criteria.

[0110] 2. Distribution network investment allocation model:

[0111] 2.1 Model Architecture:

[0112] The determination of the scale of investment by provincial power grid companies (regional users) in municipal power grid companies (community users) mainly considers the influence and constraints of two factors: the investment demand for the development of municipal distribution networks and the investment capacity of municipal power grid companies.

[0113] (1) Investment demand. The improvement effect, power supply level, scale and operation level of the selected project group on the distribution network will affect the investment demand for distribution network development. Moreover, these factors can be reflected by more specific factors. The improvement effect of the distribution network can be reflected by the evaluation index of the selected project group, the power supply level of the distribution network can be reflected by the increase in power sales and the increase in load of the distribution network, the scale of the distribution network can be reflected by the length of the medium-voltage line and the capacity of the distribution transformer, and the operation level of the distribution network can be reflected by the power supply reliability rate and the comprehensive line loss rate.

[0114] (2) Investment capacity. Investment capacity is affected by the company's profitability, which can be reflected by the return on net assets. In summary, the scale of distribution network investment is affected by the distribution network improvement effect evaluation index, the increase in distribution network sales, the increase in distribution network load, the length of medium-voltage lines, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the return on net assets. These factors can be combined to select investment allocation evaluation indicators. The indicator weights are determined by the Delphi method, and the results are shown in Figure 4.

[0115] 2.2 Model calculation:

[0116] (1) Index values. The model calculation result is the investment allocation ratio of the distribution network in the next year. Therefore, the improvement effect of the distribution network takes the evaluation index of the project group to be selected in the next year, the power supply level index of the distribution network takes the forecast value of the next year, and the scale, operation level and profitability index of the distribution network take the current year's current value.

[0117] (2) Index evaluation criteria. The evaluation criteria are based on a percentage system. In order to make different municipal-level power grid companies comparable, the evaluation criteria are determined based on the ranking of each company's index value among all company index values. The index value x'' and the evaluation index y'' are set to be linearly related, and the evaluation index of the maximum index value of all companies is 100, and the evaluation index of the minimum index value is 0. The evaluation standard function is shown in Formula ③.

[0118] ③

[0119] Where: k represents the number of the power grid company.

[0120] (3) Calculation of investment allocation ratio. By combining the index value, index weight and evaluation criteria, the distribution network investment allocation decision value S can be calculated, and then the investment allocation ratio of the prefecture-level power grid company can be calculated. , the calculation formula is as formula ④.

[0121] ④

[0122] Where: Indicates the number of prefecture-level power grid companies.

[0123] 3. Optimal selection of distribution network construction projects:

[0124] First, based on the distribution network improvement effect evaluation system and project investment amount, a comprehensive ranking of individual projects is obtained; then, the investment limit is used as a constraint to obtain the project optimization results of the municipal power grid companies.

[0125] 3.1 Comprehensive ranking of projects:

[0126] For each project in the candidate project group, the distribution network improvement effect evaluation system is used, combined with the project investment amount C, to calculate the project comprehensive ranking decision value F.

[0127] ⑤

[0128] In the formula: i and j are the first-level and second-level index numbers respectively; m and n are the number of first-level and second-level indicators respectively; and are the weights of the i-th first-level indicator and the j-th second-level indicator respectively; is the index value of the j-th secondary index.

[0129] According to the project comprehensive ranking decision value F, the comprehensive ranking of projects of municipal power grid companies can be obtained.

[0130] 3.2 Project selection results:

[0131] Based on the comprehensive ranking of prefecture-level power grid companies' projects, the project optimization results of prefecture-level power grid companies can be determined by taking the investment limit of prefecture-level power grid companies calculated by the total investment in the provincial power grid company's distribution network and the investment allocation ratio of prefecture-level power grid companies as constraints.

[0132] Compared with the prior art, this application has the following advantages:

[0133] 1. A systematic method for selecting and ranking investment projects has been established, using a comprehensive evaluation index system and quantitative calculation methods to ensure the scientificity and objectivity of project evaluation.

[0134] 2. The flexibility and adaptability of project ranking are improved through reasonable weight distribution, comprehensive evaluation model and dynamic adjustment mechanism.

[0135] 3. The correlation analysis and sensitivity analysis between projects were added to optimize the project implementation plan, overcome the subjectivity and incompleteness of existing technologies, and provide efficient and reliable support for distribution network investment decisions.

[0136] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0137] Based on the same inventive concept, the embodiment of the present application also provides a distribution network project priority determination device for implementing the distribution network project priority determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more distribution network project priority determination device embodiments provided below can refer to the limitations of the distribution network project priority determination method above, and will not be repeated here.

[0138] In an exemplary embodiment, as shown in FIG5 , a distribution network project priority determination device is provided, comprising: a data acquisition module 501, an allocation ratio determination module 502, a decision information acquisition module 503 and a priority determination module 504, wherein:

[0139] The data acquisition module 501 is used to obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each small area; wherein the small area belongs to the large area;

[0140] The allocation ratio determination module 502 is used to input the distribution network improvement effect evaluation index, the distribution network increased power sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into the pre-built virtual resource allocation ratio division model, and obtain the virtual resource allocation ratio of each cell user through the virtual resource allocation ratio division model;

[0141] The sorting decision information acquisition module 503 is used to obtain the allocated virtual resources of each distribution network project to be determined according to the virtual resources to be allocated and the virtual resource allocation ratio, and to obtain the sorting decision information of each distribution network project to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index;

[0142] The priority determination module 504 is used to determine the priority of each distribution network project to be determined according to the sorting decision information and the preset virtual resource allocation constraint condition.

[0143] In one embodiment, the allocation ratio determination module 502 further includes:

[0144] The acquisition submodule is used to obtain the distribution network indicators and corresponding distribution network indicator evaluation standards of each community user through the acquisition module in the virtual resource allocation ratio division model, and input the distribution network indicators and corresponding distribution network indicator evaluation standards into the decision information acquisition module in the virtual resource allocation ratio division model.

[0145] The allocation ratio determination submodule is used to obtain virtual resource allocation decision information through the decision information acquisition module according to the distribution network indicators, the distribution network indicator evaluation criteria and the indicator weights pre-set for the distribution network indicators; the virtual resource allocation decision information is input into the ratio determination module in the virtual resource allocation ratio division model, and the virtual resource allocation ratio of each cell user is obtained through the ratio determination module.

[0146] In one embodiment, the distribution network indicators include distribution network improvement effect indicators, distribution network power supply level indicators, distribution network scale indicators, distribution network operation level indicators and distribution network profitability indicators; the acquisition submodule also includes:

[0147] The first acquisition subunit is used to input the distribution network improvement effect evaluation index into the acquisition module, and obtain the distribution network improvement effect index and the corresponding distribution network improvement effect index evaluation standard through the acquisition module.

[0148] The second acquisition subunit is used to input the distribution network's increased electricity sales forecast value and the distribution network's increased load forecast value into the acquisition module, and obtain the distribution network's power supply level index and the corresponding distribution network's power supply level index evaluation standard through the acquisition module.

[0149] The third acquisition subunit is used to input the medium voltage line length and the distribution transformer capacity into the acquisition module, and obtain the distribution network scale index and the corresponding distribution network scale index evaluation standard through the acquisition module.

[0150] The fourth acquisition subunit is used to input the power supply reliability rate and the comprehensive line loss rate into the acquisition module, and obtain the distribution network operation level index and the corresponding distribution network operation level index evaluation standard through the acquisition module.

[0151] The fifth acquisition subunit is used to input the return on net assets into the acquisition module, and obtain the distribution network profitability index and the corresponding distribution network profitability index evaluation standard through the acquisition module.

[0152] In an exemplary embodiment, the second acquisition subunit is also used to perform weighted summation of the distribution network power increase prediction value and the distribution network load increase prediction value by using the first weight pre-set for the distribution network power increase prediction value and the second weight pre-set for the distribution network load increase prediction value in the acquisition module to obtain the distribution network power supply level indicator.

[0153] In one embodiment, the third acquisition subunit is also used to obtain the distribution network scale indicator by weighted summing the medium voltage line length and the distribution transformer capacity through the third weight pre-set for the medium voltage line length and the fourth weight pre-set for the distribution transformer capacity in the acquisition module.

[0154] In one of the embodiments, the fourth acquisition subunit is also used to obtain the distribution network operation level index by weighted summing the power supply reliability rate and the comprehensive line loss rate through the fifth weight pre-set for the power supply reliability rate and the sixth weight pre-set for the comprehensive line loss rate in the acquisition module.

[0155] In one embodiment, the data acquisition module 501 is further used to acquire historical implementation data of the distribution network project group to be determined, and historical implementation sub-data of the distribution network project to be determined; the historical implementation data includes the original distribution network operation status data before the operation of the distribution network project group to be determined, and the distribution network operation status data after the operation of the distribution network project group to be determined; the historical implementation sub-data includes the original distribution network operation status sub-data before the operation of the distribution network project to be determined, and the distribution network operation status sub-data after the operation of the distribution network project to be determined; according to the original distribution network operation status data and the distribution network operation status data, a plurality of distribution network improvement degree evaluation indicators are acquired, and based on the original distribution network operation status sub-data and the distribution network operation status sub-data, a plurality of distribution network improvement degree evaluation indicators are acquired; ... data, obtain multiple sub-distribution network improvement degree evaluation indicators; use a pre-set normalization coefficient to perform dimensionless processing on each distribution network improvement degree evaluation indicator and the sub-distribution network improvement degree evaluation indicator, and obtain the processed distribution network improvement degree evaluation indicator and the sub-distribution network improvement degree evaluation indicator; based on the pre-set indicator weights for each distribution network improvement degree evaluation indicator, each processed distribution network improvement degree evaluation indicator and the pre-set evaluation standard, obtain the distribution network improvement effect evaluation index; according to the pre-set indicator weights for each sub-distribution network improvement degree evaluation indicator, each processed sub-distribution network improvement degree evaluation indicator and the pre-set evaluation standard, obtain the sub-distribution network improvement effect evaluation index.

[0156] Each module in the above distribution network project priority determination device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0157] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG6. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. 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. 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 virtual resources to be allocated, distribution network improvement effect evaluation index, sub-distribution improvement effect evaluation index, distribution network increase sales power forecast value, distribution network increase supply load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability, comprehensive line loss rate and net asset return rate data. The input / output interface of the computer device is used to exchange information between the processor and the external device. 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 a processor, a method for determining the priority of distribution network projects is implemented.

[0158] Those skilled in the art will understand that the structure shown in FIG. 6 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0159] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method for determining the priority of distribution network projects of the above embodiment is implemented.

[0160] 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 method for determining the priority of distribution network projects in the above embodiment is implemented.

[0161] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the method for determining the priority of distribution network projects of the above embodiment.

[0162] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0163] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the 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), magnetic 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. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0164] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this application.

[0165] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining the priority of distribution network projects, characterized in that: The method comprises: Obtain the virtual resources to be allocated for users in the large area, the distribution network improvement effect evaluation index of the distribution network project group to be determined for users in the small area, and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined, as well as the distribution network increase power sales forecast value, distribution network increase load forecast value, medium voltage line length, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate and net asset return rate for users in each of the said small areas; wherein the small area belongs to the large area; Input the distribution network improvement effect evaluation index, the distribution network increased power sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into a pre-constructed virtual resource allocation ratio division model, and obtain the virtual resource allocation ratio of each of the cell users through the virtual resource allocation ratio division model; According to the virtual resources to be allocated and the virtual resource allocation ratio, the allocated virtual resources of each of the distribution network projects to be determined are obtained, and based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index, the ranking decision information of each of the distribution network projects to be determined is obtained; The priority of each of the to-be-determined distribution network projects is determined according to the sorting decision information and preset virtual resource allocation constraints.

2. The method according to claim 1, characterized in that The obtaining the virtual resource allocation ratio of each cell user through the virtual resource allocation ratio division model includes: Obtain the distribution network index and the corresponding distribution network index evaluation standard of each of the cell users through the acquisition module in the virtual resource allocation ratio division model, and input the distribution network index and the corresponding distribution network index evaluation standard into the decision information acquisition module in the virtual resource allocation ratio division model; According to the distribution network indicator, the distribution network indicator evaluation standard and the indicator weight pre-set for the distribution network indicator, the virtual resource allocation decision information is obtained through the decision information acquisition module; The virtual resource allocation decision information is input into a ratio determination module in the virtual resource allocation ratio division model, and the virtual resource allocation ratio of each of the cell users is obtained through the ratio determination module.

3. The method according to claim 2, characterized in that The distribution network indicators include distribution network improvement effect indicators, distribution network power supply level indicators, distribution network scale indicators, distribution network operation level indicators and distribution network profitability indicators; The obtaining module in the virtual resource allocation ratio partitioning model obtains the distribution network index of each of the cell users and the corresponding distribution network index evaluation standard, including: Inputting the distribution network improvement effect evaluation index into the acquisition module, and acquiring the distribution network improvement effect index and the corresponding distribution network improvement effect index evaluation standard through the acquisition module; Inputting the distribution network increased power sales forecast value and the distribution network increased load forecast value into the acquisition module, and acquiring the distribution network power supply level index and the corresponding distribution network power supply level index evaluation standard through the acquisition module; Inputting the medium voltage line length and the distribution transformer capacity into the acquisition module, and acquiring the distribution network scale index and the corresponding distribution network scale index evaluation standard through the acquisition module; Inputting the power supply reliability rate and the comprehensive line loss rate into the acquisition module, and acquiring the distribution network operation level index and the corresponding distribution network operation level index evaluation standard through the acquisition module; The return on net assets is input into the acquisition module, and the distribution network profitability index and the corresponding distribution network profitability index evaluation standard are acquired through the acquisition module.

4. The method according to claim 3, characterized in that The step of inputting the predicted value of the increased power sales of the distribution network and the predicted value of the increased load supplied by the distribution network into the acquisition module, and acquiring the power supply level index of the distribution network through the acquisition module includes: By using the first weight pre-set in the acquisition module for the distribution network's predicted value of increased power sales and the second weight pre-set for the distribution network's predicted value of increased load supply, the distribution network's predicted value of increased power sales and the distribution network's predicted value of increased load supply are weightedly summed to obtain the distribution network's power supply level index.

5. The method according to claim 3, characterized in that: The step of inputting the medium voltage line length and the distribution transformer capacity into the acquisition module and acquiring the distribution network scale index through the acquisition module includes: The distribution network scale indicator is obtained by performing weighted summation on the medium voltage line length and the distribution transformer capacity through the third weight preset for the medium voltage line length and the fourth weight preset for the distribution transformer capacity in the acquisition module.

6. The method according to claim 3, characterized in that The step of inputting the power supply reliability rate and the comprehensive line loss rate into the acquisition module and acquiring the distribution network operation level index through the acquisition module includes: The power supply reliability rate and the comprehensive line loss rate are weightedly summed by using the fifth weight pre-set for the power supply reliability rate and the sixth weight pre-set for the comprehensive line loss rate in the acquisition module to obtain the distribution network operation level index.

7. The method according to claim 1, characterized in that The distribution network improvement effect evaluation index of the distribution network project group to be determined for the community user and the sub-distribution network improvement effect evaluation index of each distribution network project to be determined are obtained by the following steps: Obtaining historical implementation data of the distribution network project group to be determined, and historical implementation sub-data of the distribution network project to be determined; the historical implementation data includes original distribution network operation status data before the distribution network project group to be determined is operated, and distribution network operation status data after the distribution network project group to be determined is operated; the historical implementation sub-data includes original distribution network operation status sub-data before the distribution network project to be determined is operated, and distribution network operation status sub-data after the distribution network project to be determined is operated; According to the original distribution network operation status data and the distribution network operation status data, a plurality of distribution network improvement degree evaluation indicators are obtained, and based on the original distribution network operation status sub-data and the distribution network operation status sub-data, a plurality of sub-distribution network improvement degree evaluation indicators are obtained; Using a preset normalization coefficient, dimensionless processing is performed on each of the distribution network improvement degree evaluation index and the sub-distribution network improvement degree evaluation index to obtain a processed distribution network improvement degree evaluation index and a sub-distribution network improvement degree evaluation index; Based on the pre-set indicator weights for each of the distribution network improvement degree evaluation indicators, each of the processed distribution network improvement degree evaluation indicators and the pre-set evaluation criteria, the distribution network improvement effect evaluation index is obtained. The sub-distribution network improvement effect evaluation index is obtained according to the pre-set indicator weight for each sub-distribution network improvement degree evaluation indicator, each processed sub-distribution network improvement degree evaluation indicator and the pre-set evaluation standard.

8. A device for determining the priority of distribution network projects, characterized in that: The device comprises: A data acquisition module is used to obtain virtual resources to be allocated for users in a large area, distribution network improvement effect evaluation indexes of distribution network project groups to be determined for users in a small area, and sub-distribution network improvement effect evaluation indexes of distribution network projects to be determined, as well as distribution network increase power sales forecast values, distribution network increase load forecast values, medium voltage line lengths, distribution transformer capacity, power supply reliability rate, comprehensive line loss rate, and net asset return rate for users in the small area; wherein the small area belongs to the large area; An allocation ratio determination module is used to input the distribution network improvement effect evaluation index, the distribution network increased power sales forecast value, the distribution network increased load forecast value, the medium voltage line length, the distribution transformer capacity, the power supply reliability rate, the comprehensive line loss rate and the net asset return rate into a pre-constructed virtual resource allocation ratio division model, and obtain the virtual resource allocation ratio of each of the cell users through the virtual resource allocation ratio division model; A sorting decision information acquisition module, used to obtain the allocated virtual resources of each of the distribution network projects to be determined according to the virtual resources to be allocated and the virtual resource allocation ratio, and to obtain the sorting decision information of each of the distribution network projects to be determined based on the allocated virtual resources and the sub-distribution network improvement effect evaluation index; The priority determination module is used to determine the priority of each of the distribution network projects to be determined according to the sorting decision information and the preset virtual resource allocation constraint conditions.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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