CN114037151A - Medium and low voltage distribution network investment configuration optimization method and device and storage medium - Google Patents
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Abstract
The application relates to a medium and low voltage distribution network investment configuration optimization method, device and storage medium. The medium and low voltage distribution network investment configuration optimization method comprises the following steps: acquiring existing investment project data of a regional power distribution network, and receiving an input instruction; screening out project data of the voltage grade to be analyzed through a medium and low voltage distribution network mode filter based on the input instruction; establishing an association model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; processing the comprehensive information of each single project to obtain the comprehensive configuration result of each investment project; and determining single item optimization and investment combinations according to the investment allocation target and the comprehensive allocation result of each investment item, and obtaining optimization data for guiding the investment allocation of the medium and low voltage distribution network based on an investment allocation optimization model of the regional distribution network in combination with the current items of the regional distribution network. The method and the device improve the scientificity of investment decision and the accuracy of power distribution network resource allocation decision.
Description
Technical Field
The application relates to the technical field of power distribution networks, in particular to a medium and low voltage power distribution network investment configuration optimization method, device and storage medium.
Background
Along with the steady development of national economy of China, the living standard of people is improved year by year, the demand of the whole society on electric power is increased day by day, the investment scale of the electric network is also increased continuously, in the process of building and maintaining the electric network, the regional power distribution network needs to comprehensively consider the operation condition of enterprises, perform project optimization, accurately grasp self investment decision, scientifically make investment models and have important significance on electric power building and enterprise development. At present, investment allocation schemes under different backgrounds are provided for researches of medium and low voltage distribution network investment decisions, optimized investment allocation modes and the like, reference is provided for the investment decisions of regional distribution networks, and researches on the internal logical relations of input resources and output indexes of alternative investment projects of power grid companies are less. Meanwhile, in the planning and budgeting stage, the basic unit can use an index system to check the investment requirement and development target with the superior unit, and the investment capability is decoupled, so that the company cannot reasonably allocate resources and cannot fully utilize the existing investment resources of the company.
In the implementation process, the inventor finds that at least the following problems exist in the conventional technology: at present, because the relevance between the resource input and output indexes of medium and low voltage projects is poor, the internal logic of a power grid company is fuzzy, and the resource allocation decision is inaccurate.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus and a storage medium for optimizing investment allocation of a medium and low voltage distribution network.
An investment allocation optimization method for a medium and low voltage distribution network comprises the following steps:
acquiring existing investment project data of a regional power distribution network, and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input command is a medium-voltage mode command or a low-voltage mode command;
based on an input instruction, screening project data of voltage grades to be analyzed in existing investment project data of the regional power distribution network through a medium-low voltage power distribution network mode screener; the project data comprises a project database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
establishing an association model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
processing the comprehensive information of each single project to obtain the comprehensive configuration result of each investment project; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of all investment items;
obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on an investment allocation optimization model of the regional distribution network according to the single item preference and investment combination and the current item of the regional distribution network; the optimization data includes investment scale constraints and input-output measurements.
In one embodiment, the step of screening project data of voltage classes to be analyzed in existing investment project data of the regional distribution network through a medium-low voltage distribution network mode filter based on an input instruction comprises the following steps:
screening out a project database of a voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and index basic data of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction by using a medium-low voltage distribution network mode screening device; the project database includes resource investment classification information, scale level constraints, and project level constraints.
In one embodiment, the step of obtaining the single item integrated information of each investment item based on the association model comprises:
and determining the mapping relation between the project data and the single project comprehensive information according to the association model, and determining the single project comprehensive information through the mapping relation.
In one embodiment, processing the comprehensive information of each single project to obtain the comprehensive configuration result of each investment project; the step of determining the single item preferred and investment combination according to the investment allocation target and the comprehensive allocation result of each investment item comprises the following steps:
respectively carrying out weighted summation on the operation effect parameters, the working effect parameters and other effect parameters of each investment project to obtain a comprehensive configuration result of each investment project;
and selecting the investment projects with the optimal comprehensive configuration result to form a single project optimization and an investment combination according to the comprehensive configuration result and the investment configuration target of each investment project and the height of the comprehensive configuration result of each investment project.
In one embodiment, the step of obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on the regional distribution network investment allocation optimization model according to single item preference and investment portfolio and current project of the regional distribution network comprises:
and according to the single project optimization, the investment portfolio and the current project of the regional power distribution network, carrying out project classification and summarization from the scale level constraints and the project level constraints in the project database to obtain the investment scale constraints corresponding to the scale level constraints and the input and output measured values corresponding to the project level constraints.
In one embodiment, the operation effect parameters corresponding to the medium-voltage mode instruction comprise the distribution network rotatable power supply rate and the feeder automation effective coverage rate; the working effect parameters corresponding to the medium-voltage mode instruction comprise the number of newly added rotatable power supply lines, the number of automatically and effectively covered lines of newly added feeder lines and the unit investment power increase amount;
the operation effect parameters corresponding to the low-voltage mode instruction comprise an overload distribution transformation ratio, a pre-overload distribution transformation ratio and a public area ratio with low voltage; the working effect parameters corresponding to the low-voltage mode instruction comprise the number of overload distribution transformers, the number of overload and pre-overload distribution transformers, the number of transformer areas with lower solution voltage and the unit investment increased power supply amount;
other effects parameters include decision configuration parameters.
A medium and low voltage distribution network investment configuration optimization method device comprises the following steps:
the data acquisition module is used for acquiring the existing investment project data of the regional power distribution network and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input command is a medium-voltage mode command or a low-voltage mode command;
the data screening module is used for screening project data of voltage grades to be analyzed in the existing investment project data of the regional power distribution network through the middle and low voltage power distribution network mode screener based on the input instruction; the project data comprises a project database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
the first processing module is used for establishing a correlation model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
the second processing module is used for processing the comprehensive information of each single item to obtain the comprehensive configuration result of each investment item; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of all investment items;
the data output module is used for obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on the regional distribution network investment allocation optimization model according to single item optimization and investment combination and the current project of the regional distribution network; the optimization data includes investment scale constraints and input-output measurements.
In one embodiment, the data screening module is further configured to screen out an item database of a voltage class corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and index basic data of the voltage class corresponding to the medium-voltage mode instruction or the low-voltage mode instruction through a medium-low voltage distribution network mode screening device; the project database includes resource investment classification information, scale level constraints, and project level constraints.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
One of the above technical solutions has at least the following advantages and beneficial effects:
according to the method, based on the acquired existing investment project data of the regional power distribution network and input instructions, project data of voltage classes to be analyzed in the existing investment project data of the power distribution network are screened out through a middle-low voltage power distribution network mode screening device, a correlation model is established according to the project data of the voltage classes to be analyzed, single-project comprehensive information of each investment project is acquired through the correlation model, the single-project comprehensive information is processed to obtain a comprehensive configuration result of each investment project, single-project optimization and investment combination are determined according to an investment configuration target and the comprehensive configuration result of each investment project, the single-project optimization and investment combination and the current project of the regional power distribution network are optimized according to the single-project optimization and investment combination and the current project of the regional power distribution network, and optimized data used for guiding investment configuration of the middle-low voltage power distribution network are acquired based on an investment configuration optimization model of the regional power distribution network. Therefore, project data which correspond to input instructions and need to be analyzed and are screened from existing investment project data of a regional power distribution network are processed, a correlation model is established, single project comprehensive information of each investment project is obtained, single project optimization and investment combination are determined according to the single project comprehensive information, investment allocation targets are combined to obtain project-level input-output measurement values and professional-level investment scale constraints for the single project optimization and the investment combination, investment and benefit effects are output, investment decision scientificity is improved, and accuracy of power distribution network resource allocation decision is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the conventional technologies of the present application, the drawings used in the descriptions of the embodiments or the conventional technologies will be briefly introduced below, it is obvious that the drawings in the following descriptions are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for optimizing investment allocation of a medium and low voltage distribution network in one embodiment;
fig. 2 is a schematic flow chart of a method for optimizing investment allocation of a medium and low voltage distribution network in another embodiment;
FIG. 3 is a schematic flow chart illustrating the steps for determining a preferred and portfolio for a single project in one embodiment;
fig. 4 is a block diagram of a method and a device for optimizing investment allocation of a medium and low voltage distribution network in one embodiment.
Detailed Description
To facilitate an understanding of the present application, the present application will now be described more fully with reference to the accompanying drawings. Embodiments of the present application are set forth in the accompanying drawings. This application may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another.
It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or be connected to the other element through intervening elements. Further, "connection" in the following embodiments is understood to mean "electrical connection", "communication connection", or the like, if there is a transfer of electrical signals or data between the connected objects.
As used herein, the singular forms "a", "an" and "the" may include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises/comprising," "includes" or "including," etc., specify the presence of stated features, integers, steps, operations, components, parts, or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.
In one embodiment, as shown in fig. 1, a method for optimizing investment allocation of a medium and low voltage distribution network is provided, which may include:
step 202, acquiring existing investment project data of a regional power distribution network, and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input command is a medium-voltage mode command or a low-voltage mode command;
step 204, screening project data of voltage grades to be analyzed in existing investment project data of the regional power distribution network through a medium-low voltage power distribution network mode screener based on an input instruction; the project data comprises a project database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
step 206, establishing a correlation model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
208, processing the comprehensive information of each single item to obtain a comprehensive configuration result of each investment item; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of all investment items;
step 210, obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on an investment allocation optimization model of the regional distribution network according to single item optimization and investment combination and current items of the regional distribution network; the optimization data includes investment scale constraints and input-output measurements.
The current project of the regional power distribution network is the current situation of the regional power distribution network; the operational effect parameter may be a technical effect score; the working effect parameter can be an economic benefit score; other effects parameters may score other effects; the comprehensive configuration result can be the comprehensive score of each investment project; the investment allocation target can be the total investment requirement; the power distribution network investment allocation optimization model can be a regional power distribution network input-output measurement model and is used for measuring and calculating the regional power distribution network input-output value; the single item comprehensive information can be scored in a single item comprehensive mode.
In a specific example, fig. 2 is a schematic flow chart of a medium and low voltage distribution network project investment optimization method.
Specifically, existing investment project data of the regional power distribution network, including current projects of the regional power distribution network and projects of the planned power distribution network, are obtained, and input instructions are received, so that project data, corresponding to the input instructions and needing to analyze voltage classes, in the existing investment project data of the regional power distribution network are screened out by a medium-low voltage power distribution network mode screening device according to the input instructions, and the project data include project databases corresponding to the voltage classes and index basic data corresponding to the voltage classes; establishing a correlation model according to the screened project data of the voltage grade to be analyzed, and obtaining single-project comprehensive information of each investment project based on the correlation model, wherein the single-project comprehensive information comprises operation effect parameters, working effect parameters and other effect parameters; on the basis of the comprehensive information of each single project, comprehensively scoring each investment project to obtain the comprehensive configuration result of each investment project, and combining the comprehensive configuration result of each investment project with the investment configuration target to determine the preference and investment combination of the single project; and finally, obtaining and outputting investment scale constraints and input-output measurement values through an investment allocation optimization model of the regional power distribution network according to the single item optimization, the investment portfolio and the current items of the regional power distribution network, wherein the investment scale constraints and the input-output measurement values are used for guiding the medium-low voltage power distribution network to perform investment allocation.
Processing according to a project database and index basic data of a voltage class corresponding to a screened input instruction in existing investment project data of a regional power distribution network, establishing a correlation model, obtaining single-project comprehensive information of each investment project, determining single-project optimization and an investment combination according to the single-project comprehensive information, and obtaining an input-output calculation value of a project level and investment scale constraint of a professional level by combining the single-project optimization and the investment combination according to an investment allocation target; therefore, whether the investment requirement is matched with a development target and the investment capacity can be examined through the application according to the budget stage of the project plan of the power distribution network, so that the investment and the benefit are hooked, the investment decision scientificity is improved, and the resources are reasonably configured; by means of the investment scale constraint and the input-output measurement value obtained by the method, the investment budgets and core output index target values of various resource input directions are synchronously formulated and issued, investment activities are guided to be developed, and the accuracy of investment allocation decision of the medium-low voltage distribution network is effectively improved.
In one embodiment, the step 204 of screening the project data of the required analysis voltage class in the existing investment project data of the regional distribution network by the medium and low voltage distribution network mode filter based on the input command may include:
screening out a project database of a voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and index basic data of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction by using a medium-low voltage distribution network mode screening device; the project database includes resource investment classification information, scale level constraints, and project level constraints.
Specifically, the input command may be a medium voltage mode command or a low voltage mode command, where the medium voltage mode command corresponds to the selected voltage level being medium voltage, and the low voltage mode command corresponds to the selected voltage level being low voltage; the medium and low voltage distribution network mode filter can filter and classify the existing investment project data of the regional distribution network according to medium voltage or low voltage, and further determine an investment project database of the voltage grade corresponding to the medium voltage mode instruction or the low voltage mode instruction and index basic data of the voltage grade corresponding to the medium voltage mode instruction or the low voltage mode instruction.
In one embodiment, the step 206 of obtaining the single-project comprehensive information of each investment project based on the association model may include:
and determining the mapping relation between the project data and the single project comprehensive information according to the association model, and determining the single project comprehensive information through the mapping relation.
In one example, the operation effect parameters corresponding to the medium-voltage mode instruction comprise the distribution network transferable power supply rate and the feeder automation effective coverage rate; the working effect parameters corresponding to the medium-voltage mode instruction comprise the number of newly added rotatable power supply lines, the number of automatically and effectively covered lines of newly added feeder lines and the unit investment power increase amount;
the operation effect parameters corresponding to the low-voltage mode instruction comprise an overload distribution transformation ratio, a pre-overload distribution transformation ratio and a public area ratio with low voltage; the working effect parameters corresponding to the low-voltage mode instruction comprise the number of overload distribution transformers, the number of overload and pre-overload distribution transformers, the number of transformer areas with lower solution voltage and the unit investment increased power supply amount;
other effects parameters include decision configuration parameters.
Specifically, the construction of the association model comprises the steps of determining item scores, determining evaluation dimensions and scores and determining score weights; the determination of the project score is based on the actual medium and low voltage infrastructure investment business, and the project scores (including operation effect parameters and working effect parameters) of medium and low voltage distribution network infrastructure major are direct measurement type indexes which can be directly obtained according to project planning or feasibility research reports.
The evaluation dimension and the score are obtained based on an index system and 'power distribution network project optimization research', and the scoring weights of medium and low voltage power distribution network capital construction are determined by an expert scoring method and an analytic hierarchy process; the total scoring weight of the operation effect parameters (technical effect scoring) can be 40%, and the total scoring weight of the work effect parameters (economic benefit scoring) can be 60%. Under a medium-voltage distribution network model corresponding to the medium-voltage mode instruction, the rotatable power supply rate of a distribution network accounts for 67% of the weight of the operation effect parameter, the feeder automation effective coverage rate accounts for 33% of the weight of the operation effect parameter, the number of newly added rotatable power supply lines accounts for 25% of the weight of the work effect parameter, the number of newly added feeder automation effective coverage lines accounts for 25% of the weight of the work effect parameter, and the increased power supply amount accounts for 50% of the weight of the work effect parameter in unit investment (for example, 5 years); under a low-voltage distribution network model corresponding to a low-voltage mode instruction, the weight of the overload distribution transformer proportion in the operation effect parameter is 33%, the weight of the pre-overload distribution transformer proportion in the operation effect parameter is 33%, the weight of the under-voltage public area proportion in the operation effect parameter is 33%, the weight of the solution overload distribution transformer quantity in the work effect parameter is 15%, the weight of the solution overload and pre-overload distribution transformer quantity in the work effect parameter is 15%, the weight of the solution under-voltage area proportion in the work effect parameter is 15%, and the weight of the unit investment (5 years) increased power quantity in the work effect parameter is 55%. And establishing the association model according to the project data of the voltage level to be analyzed, determining the mapping relation between the project data and the single-project comprehensive information according to the established association model, and obtaining the single-project comprehensive information of each investment project according to the mapping relation.
In one embodiment, as shown in fig. 3, the comprehensive information of each single item is processed to obtain a comprehensive configuration result of each investment item; the step 208 of determining a preferred and portfolio of individual projects based on the investment allocation goals and the combined allocation of each investment project may include:
step 302, respectively carrying out weighted summation on the operation effect parameters, the working effect parameters and other effect parameters of each investment project to obtain a comprehensive configuration result of each investment project;
and 304, selecting the investment projects with the comprehensive configuration result in the highest priority to form a single project optimization and investment portfolio according to the comprehensive configuration result and the investment configuration target of each investment project and the height of the comprehensive configuration result of each investment project.
Specifically, comprehensive scoring is carried out on each investment project based on the comprehensive information of each single project, and the comprehensive scoring of the single investment reserve library project, namely the comprehensive configuration result of each investment project, is obtained by weighting and adding the weighted results according to the operation effect parameters (technical effect scoring), the working effect parameters (economic benefit scoring) and other effect parameters (other effect scoring) of each investment project and based on the decision configuration parameters (investment strategy scoring) of the existing investment project data of the regional power distribution network.
The process of carrying out comprehensive scoring on each investment project comprises three aspects of calculating decision configuration parameters, calculating working effect parameters and calculating comprehensive configuration results of the investment projects. The decision configuration parameters (investment strategy scores) may be classified into one type, two types, three types, four types, and five types, which correspond to the priority of the investment items, for example, one type of investment items may correspond to 4 points, two types of investment items may correspond to 3 points, three types of investment items may correspond to 2 points, four types of investment items may correspond to 1 point, and five types of investment items may correspond to 0 point.
And calculating the working effect parameters according to a formula to quantify the contribution degree of the reserve items to the promotion of the operation effect parameters. Wherein, the calculation formula of each operation effect parameter value after the investment project is implemented is as follows: the transferable power supply rate of the distribution network is (the total number of returns of the current transferable public lines + the number of newly-added transferable power supply lines)/(the total number of returns of the current public lines + the number of outgoing lines of the newly-added transformer substation); the feeder automation effective coverage rate is (the number of the existing feeder automation effective coverage lines + the number of the newly-added feeder automation effective coverage lines)/(the total number of the existing public lines + the number of the newly-added substation outgoing lines); the unit investment (5 years) increased power supply amount is the sum of the (5 years) increased power supply amount' of all medium voltage distribution network capital construction projects which are out of the warehouse; the overload distribution ratio is (the number of the current overload public distribution transformers-the number of the solution overload distribution transformers)/(the total number of the current public distribution transformers + the number of the newly added public distribution transformers); the ratio of the pre-overload distribution transformers is (the number of the current pre-overload public distribution transformers-the number of the solution pre-overload distribution transformers)/(the total number of the current public distribution transformers + the number of the newly-added public distribution transformers); the ratio of the lower-voltage public transformer areas is (the number of the current lower-voltage public transformer areas-the number of the lower-voltage distribution transformer areas in the solution)/(the total number of the current public distribution transformers + the number of the newly added public distribution transformers); calculating the comprehensive contribution degree of the investment project to the indexes by combining the index weight; then dividing the implementation cost of the project by the implementation cost of the project to obtain the benefit-investment ratio of the investment project; and then, multiplying the decision configuration parameters by a normalization method to finally obtain the operation effect parameters of the investment projects.
The process of calculating the working effect parameters comprises the following steps: for newly increased rotatable power supply lines, newly increased feeder automation effective coverage lines, overload distribution and transformation solving quantity, overload and pre-overload distribution and transformation solving quantity and lower voltage distribution area quantity, an index value is obtained according to a project planning or feasibility research report, and then the index value is divided by project implementation cost to obtain the benefit-to-investment ratio of the index; and then, obtaining the index score by adopting a normalization method and multiplying the index by the decision configuration parameters. For the unit investment (5 years) power increasing amount, obtaining a numerical value of the unit investment (5 years) power increasing amount of a reserve item according to a feasibility research report of the item, and then dividing the numerical value by the implementation cost of the item to obtain the unit investment (5 years) power increasing amount; and then, obtaining the index score by adopting a normalization method and multiplying the index by the decision configuration parameters. And finally, calculating to obtain the working effect parameters of the investment project by combining the index weight.
The formula for calculating the comprehensive configuration result of the investment project is as follows: and (4) the comprehensive score of a single investment reserve library item is the decision configuration parameter + the operation effect parameter + the work effect parameter.
Under the condition of obtaining the comprehensive configuration result of each investment project, alternative medium-voltage or low-voltage infrastructure investment project arrangement is carried out according to the comprehensive configuration result of each investment project and the scores, then the medium/low-voltage distribution network investment configuration targets (the medium-voltage mode command corresponds to the medium-voltage distribution network investment configuration target, and the low-voltage mode command corresponds to the low-voltage distribution network investment configuration target) are combined, and the investment projects with the dominant comprehensive configuration results are selected according to the comprehensive configuration result of each investment project to form a single project preferred investment combination.
In one embodiment, the step 210 of obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on the optimization model of investment allocation of the regional distribution network according to the individual item preference and the investment portfolio and the current item of the regional distribution network may include:
and according to the single project optimization, the investment portfolio and the current project of the regional power distribution network, carrying out project classification and summarization from the scale level constraints and the project level constraints in the project database to obtain the investment scale constraints corresponding to the scale level constraints and the input and output measured values corresponding to the project level constraints.
Wherein the scale-level constraints may be scale-level solution problems; project level constraints may solve problems for the project level.
Specifically, according to single project optimization and investment combination, current projects of a regional power distribution network are combined, project classification and summarization are carried out on the basis of a regional power distribution network investment configuration optimization model from scale level constraints (scale level problem solving) and project level constraints (project level problem solving) in an investment project database, resource configuration indexes compiled on the basis of detailed projects are optimized and categorized according to professional categories around fixed asset investment strategies and professional management requirements, professional scale level constraints are determined comprehensively, and professional scale level input-output measurement values (which similarly comprise operation effect parameters measured by service management dimensions and working effect parameters measured by professional performance dimension evaluation dimensions) are selected according to the scale level constraints. Meanwhile, the logical relation between the preliminary carding project indexes and the scale indexes is analyzed, the indexes are simplified, and single project comprehensive information with correlation and the measurement and calculation value of the professional scale input and output are determined comprehensively. In the medium voltage distribution network infrastructure investment model, the scale input-output measurements may include: distribution network rotatable power supply rate (%), feeder automation effective coverage rate (%), and increased power supply capacity (thousands of watt-hours); in the low-voltage distribution network capital construction investment model, the scale input-output measurement value can comprise: overload distribution transformation ratio (%), pre-overload distribution transformation ratio (%), voltage-lower public platform area ratio (%), and increased power (ten thousand watt-hours). And then the investment scale constraint and the input and output measured value corresponding to the project level constraint are output to guide the investment allocation of the medium and low voltage distribution network.
In the application, the existing investment project data of the regional power distribution network and the corresponding input instruction are obtained, and the project data of the voltage grade to be analyzed in the existing investment project data of the regional power distribution network are screened out through the medium-low voltage power distribution network mode screener based on the input instruction, and establishing a correlation model according to project data of the voltage grade to be analyzed, obtaining single-project comprehensive information of each investment project based on the correlation model, according to the single item comprehensive information of each investment item, the comprehensive configuration result of each investment item is obtained by comprehensively scoring each investment item, and determining single project optimization and an investment combination by combining the investment allocation target, and finally obtaining an investment scale constraint and an input-output measurement value for guiding the investment allocation of the medium and low voltage distribution network based on an investment allocation optimization model of the regional distribution network according to the single project optimization and the investment combination and the current project of the regional distribution network. Therefore, by hooking the investment and the benefits, the scientificity of investment decision is improved, the resources are reasonably distributed, the investment budget and the core output index target value of various resource input directions are synchronously appointed and assigned, the development of investment activities is guided, and the accuracy of investment allocation of the medium and low voltage distribution network is effectively improved.
It should be understood that although the steps in the flowcharts of fig. 1 and 3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1 and 3 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In an embodiment, as shown in fig. 4, a method and an apparatus for optimizing investment allocation of a medium and low voltage distribution network are provided, which may include:
the data acquisition module 110 is used for acquiring existing investment project data of the regional power distribution network and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input command is a medium-voltage mode command or a low-voltage mode command;
the data screening module 120 is configured to screen project data of voltage classes to be analyzed from existing investment project data of the regional distribution network through a medium-low voltage distribution network mode screener based on an input instruction; the project data comprises a project database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
a first processing module 130, configured to establish an association model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
the second processing module 140 is configured to process the comprehensive information of each single item to obtain a comprehensive configuration result of each investment item; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of all investment items;
the data output module 150 is used for obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on the regional distribution network investment allocation optimization model according to single item optimization and investment combination and the current project of the regional distribution network; the optimization data includes investment scale constraints and input-output measurements.
In one embodiment, the data screening module 120 is further configured to screen out an item database of a voltage class corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and index basic data of the voltage class corresponding to the medium-voltage mode instruction or the low-voltage mode instruction through a medium-low voltage distribution network mode filter; the project database includes resource investment classification information, scale level constraints, and project level constraints.
In one embodiment, the first processing module 130 is further configured to determine a mapping relationship between the project data and the single-project integrated information according to the association model, and determine the single-project integrated information through the mapping relationship.
In one embodiment, the second processing module 140 is further configured to perform weighted summation on the operation effect parameter, the work effect parameter, and other effect parameters of each investment project, respectively, to obtain a comprehensive configuration result of each investment project; and selecting the investment projects with the optimal comprehensive configuration result to form a single project optimization and an investment combination according to the comprehensive configuration result and the investment configuration target of each investment project and the height of the comprehensive configuration result of each investment project.
In one embodiment, the data output module 150 is further configured to perform item classification and summarization from the scale-level constraints and the project-level constraints in the project database according to the single project preference, the investment portfolio and the current project of the regional distribution network, so as to obtain the investment scale constraints corresponding to the scale-level constraints and the input-output calculation values corresponding to the project-level constraints.
In one embodiment, the operation effect parameters corresponding to the medium-voltage mode instruction comprise the distribution network rotatable power supply rate and the feeder automation effective coverage rate; the working effect parameters corresponding to the medium-voltage mode instruction comprise the number of newly added rotatable power supply lines, the number of automatically and effectively covered lines of newly added feeder lines and the unit investment power increase amount;
the operation effect parameters corresponding to the low-voltage mode instruction comprise an overload distribution transformation ratio, a pre-overload distribution transformation ratio and a public area ratio with low voltage; the working effect parameters corresponding to the low-voltage mode instruction comprise the number of overload distribution transformers, the number of overload and pre-overload distribution transformers, the number of transformer areas with lower solution voltage and the unit investment increased power supply amount;
other effects parameters include decision configuration parameters.
For specific limitations of the medium and low voltage distribution network investment allocation optimization method apparatus, reference may be made to the above limitations of the medium and low voltage distribution network investment allocation optimization method, which are not described herein again. All modules in the investment allocation optimization method device for the medium and low voltage distribution network can be completely or partially realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), Magnetic Random Access Memory (MRAM), Ferroelectric Random Access Memory (FRAM), Phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
In the description herein, references to the description of "some embodiments," "other embodiments," "desired embodiments," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, a schematic description of the above terminology may not necessarily refer to the same embodiment or example.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A medium and low voltage distribution network investment configuration optimization method is characterized by comprising the following steps:
acquiring existing investment project data of a regional power distribution network, and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input instruction is a medium-voltage mode instruction or a low-voltage mode instruction;
based on the input instruction, screening out project data of voltage grades to be analyzed in the existing investment project data of the regional power distribution network through a middle-low voltage power distribution network mode filter; the item data comprises an item database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
establishing a correlation model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
processing the comprehensive information of each single project to obtain a comprehensive configuration result of each investment project; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of the investment items;
obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on an area distribution network investment allocation optimization model according to the single item preference and investment combination and the current item of the area distribution network; the optimization data includes investment scale constraints and input-output measurements.
2. The method for optimizing the investment allocation of the medium and low voltage distribution network according to claim 1, wherein the step of screening the project data of the voltage class to be analyzed from the existing investment project data of the regional distribution network by the medium and low voltage distribution network pattern filter based on the input command comprises:
screening out the project database of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and the index basic data of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction through the medium-low voltage distribution network mode filter; the project database includes resource investment classification information, scale level constraints, and project level constraints.
3. The method for optimizing the investment allocation of the medium and low voltage distribution network according to claim 1, wherein the step of obtaining the single-project comprehensive information of each investment project based on the correlation model comprises:
and determining a mapping relation between the project data and the single project comprehensive information according to the association model, and determining the single project comprehensive information according to the mapping relation.
4. The method according to claim 1, wherein the comprehensive information of each single project is processed to obtain a comprehensive configuration result of each investment project; the step of determining the preferred and investment combination of the single item according to the investment allocation target and the comprehensive allocation result of each investment item comprises the following steps:
respectively carrying out weighted summation on the operation effect parameters, the working effect parameters and other effect parameters of each investment project to obtain a comprehensive configuration result of each investment project;
and selecting the investment items with the dominance of the comprehensive configuration result to form the single item preference and investment combination according to the comprehensive configuration result of each investment item and the investment configuration target and the height of the comprehensive configuration result of each investment item.
5. The method for optimizing the investment allocation of the medium and low voltage distribution network according to claim 2, wherein the step of obtaining optimization data for guiding the investment allocation of the medium and low voltage distribution network based on an investment allocation optimization model of the regional distribution network according to the single item preferred and investment combination and the current item of the regional distribution network comprises:
and according to the single project optimization, investment portfolio and the current project of the regional power distribution network, carrying out project classification and summarization on the scale level constraints and the project level constraints in the project database to obtain the investment scale constraints corresponding to the scale level constraints and the input-output calculated values corresponding to the project level constraints.
6. The medium and low voltage distribution network investment configuration optimization method according to any one of claims 1 to 5, wherein the operation effect parameters corresponding to the medium voltage mode command include distribution network transferable power supply rate and feeder automation effective coverage rate; the working effect parameters corresponding to the medium-voltage mode instruction comprise the number of newly added rotatable power supply lines, the number of automatically and effectively covered lines of newly added feeder lines and the unit investment power increase amount;
the operation effect parameters corresponding to the low-voltage mode instruction comprise an overload distribution transformation ratio, a pre-overload distribution transformation ratio and a low-voltage public transformer area ratio; the working effect parameters corresponding to the low-voltage mode instruction comprise the number of overload distribution transformers, the number of transformer areas with low voltage and unit investment increment power;
the other effect parameters include decision configuration parameters.
7. A medium and low voltage distribution network investment configuration optimization method device is characterized by comprising the following steps:
the data acquisition module is used for acquiring the existing investment project data of the regional power distribution network and receiving an input instruction; the existing investment project data of the regional power distribution network comprise the current project of the regional power distribution network and the project of the planned power distribution network; the input instruction is a medium-voltage mode instruction or a low-voltage mode instruction;
the data screening module is used for screening project data of voltage grades to be analyzed in the existing investment project data of the regional power distribution network through a medium-low voltage power distribution network mode screener based on the input instruction; the item data comprises an item database corresponding to the voltage grade and index basic data corresponding to the voltage grade;
the first processing module is used for establishing a correlation model according to the project data; acquiring single-project comprehensive information of each investment project based on the correlation model; the single-project comprehensive information comprises operation effect parameters, work effect parameters and other effect parameters;
the second processing module is used for processing the comprehensive information of each single project to obtain the comprehensive configuration result of each investment project; determining single item preference and investment combination according to investment allocation targets and comprehensive allocation results of the investment items;
the data output module is used for obtaining optimization data for guiding investment allocation of the medium and low voltage distribution network based on an area distribution network investment allocation optimization model according to the single item preference and investment combination and the current item of the area distribution network; the optimization data includes investment scale constraints and input-output measurements.
8. The medium and low voltage distribution network investment allocation optimizing apparatus of claim 7,
the data screening module is further used for screening the project database of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction and the index basic data of the voltage grade corresponding to the medium-voltage mode instruction or the low-voltage mode instruction through the medium-low voltage distribution network mode screening device; the project database includes resource investment classification information, scale level constraints, and project level constraints.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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