CN115759512A - Power grid production cost configuration method, equipment, system and storage medium - Google Patents
Power grid production cost configuration method, equipment, system and storage medium Download PDFInfo
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Abstract
The invention provides a power grid production cost configuration method, equipment, a system and a storage medium, which comprises the steps of firstly, acquiring a plurality of preset production cost indexes of power systems of various regions in a first historical time period; determining a first weight of each preset production cost index of each region according to an improved criticic method aiming at each region; the improved critic method is characterized in that a first weight is determined according to the conflict, the contrast strength and the objective weight of each index; the objective weight is determined according to an entropy weight method; and determining the configuration result of the production cost of each region according to the first weight. The objective weight of each index is calculated through an entropy weight method, then the conflict and the contrast strength among the indexes are calculated, the overlapping performance of the power grid indexes is considered, the influence of information overlapping on analysis is reduced, finally, the final power grid production cost configuration result is calculated according to the conflict, the contrast strength and the objective weight of each index, the reasonable configuration of the production cost is effectively guaranteed, and the power grid structure of each region can be better adjusted.
Description
Technical Field
The invention belongs to the technical field of power grid planning, and particularly relates to a power grid production cost configuration method, equipment, a system and a storage medium.
Background
Along with the rapid development of economy in China, the scale of physical assets of the power grid continuously rises, and the tasks of operation maintenance, technical improvement and overhaul of the power grid become severe day by day. Scientifically and reasonably developing the configuration of the production cost of the power grid is beneficial to the safe and stable operation of the power grid.
The traditional power grid production cost configuration usually depends on the scale of operation and maintenance equipment and expert experience, and as the scale of the power grid is increased step by step, the manual analysis mode is difficult to accurately complete the production cost configuration work of the power grid.
Disclosure of Invention
In view of this, the invention provides a power grid production cost configuration method, device, system and storage medium, and aims to solve the problem of inaccurate power grid production cost configuration in the prior art.
A first aspect of an embodiment of the present invention provides a power grid production cost configuration method, including:
acquiring a plurality of preset production cost indexes of the power system of each region in a first historical time period;
determining a first weight of each preset production cost index of each region according to an improved criticic method aiming at each region; the improved critic method is characterized in that a first weight is determined according to the conflict of each index, the contrast strength of each index and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method;
and determining the production cost configuration result of each region according to the first weight of each preset production cost index of each region.
A second aspect of an embodiment of the present invention provides a power grid production cost configuration apparatus, including:
the acquisition module is used for acquiring a plurality of preset production cost indexes of the power system in each region in a first historical time period;
the calculation module is used for determining a first weight of each preset production cost index of each region according to an improved criticic method aiming at each region; the improved critic method is characterized in that a first weight is determined according to the conflict of each index, the contrast strength of each index and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method;
and the determining module is used for determining the production cost configuration results of each region according to the first weight of each preset production cost index of each region.
A third aspect of embodiments of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the power grid production cost configuration method according to the first aspect when executing the computer program.
A fourth aspect of an embodiment of the present invention provides a production cost configuration system, including: at least one power system management terminal and an electronic device as in the third aspect above.
A fifth aspect of the embodiments of the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the power grid production cost configuration method according to the first aspect.
According to the power grid production cost configuration method, the equipment, the system and the storage medium provided by the embodiment of the invention, firstly, a plurality of preset production cost indexes of power systems in various regions in a first historical time period are obtained; then, aiming at each region, determining a first weight of each preset production cost index of the region according to an improved criticic method; the improved critic method is characterized in that a first weight is determined according to the conflict, the contrast strength and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method; and finally, determining the production cost configuration results of each region according to the first weight of each preset production cost index of each region. The weight of each index is calculated through an entropy weight method to obtain objective weight, then the conflict performance and the contrast strength between the indexes are calculated to consider the overlapping performance of the power grid indexes and reduce the influence of information overlapping on analysis, and finally the final power grid production cost configuration result is calculated according to the conflict performance, the contrast strength and the objective weight of each index, so that the reasonable configuration of the production cost is effectively ensured.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is an application scenario diagram of a power grid production cost configuration method provided by an embodiment of the present invention;
FIG. 2 is a flowchart of an implementation of a method for configuring a production cost of a power grid according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power grid production cost configuration device provided by an embodiment of the invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
Fig. 1 is an application scenario diagram of a power grid production cost configuration method provided by an embodiment of the present invention. As shown in fig. 1, in some embodiments, the method for configuring the production cost of the power grid according to the embodiments of the present invention may be applied to the application scenario, but is not limited thereto. In this embodiment of the invention, the system comprises: a plurality of power system management terminals 11 and electronic devices 12.
The power system management terminal 11 is arranged in the power system of each region and is used for recording operation data of the power system and managing devices, operation and maintenance points and the like of the power system, the electronic device 12 may be a terminal or a server, the terminal may be a computer, a notebook and the like, and the server may be a physical server or a cloud server, which is not limited herein.
The power system management terminals 11 in each region send the recorded operation data, operation and maintenance data, physical structures and the like of the power system to the electronic device 12, and the electronic device 12 comprehensively analyzes the optimal production cost configuration proportion of each region according to the information uploaded in each region, so that the reasonable configuration of the production cost is realized.
Fig. 2 is a flowchart of an implementation of a power grid production cost configuration method according to an embodiment of the present invention. As shown in fig. 1, in some embodiments, a power grid production cost configuration method is applied to the electronic device 12 shown in fig. 1, and the method includes:
s210, a plurality of preset production cost indexes of the power system in each region in the first historical time period are obtained.
In the embodiment of the present invention, the first history period may be the previous month, the previous half year, the previous year, etc., and is not limited herein. The preset production cost index may include, but is not limited to, at least one of: the method comprises the following steps of operation maintenance maintainer allocation rate, total transmission and transformation distribution asset success rate, unit asset production cost, unit asset electricity sales, power supply reliability rate, transmission and transformation equipment fault forced outage rate, safety event number, operation maintenance defect rate and unit asset scale.
S220, determining a first weight of each preset production cost index of each region according to an improved criticic method aiming at each region; the improved critic method is characterized in that a first weight is determined according to the conflict of each index, the contrast strength of each index and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method.
In the embodiment of the present invention, after the index values of each region are obtained in the previous step, the weight of each index needs to be configured according to the degree of influence of the corresponding index value of each index on the power grid, and an entropy weight method may be specifically used for analysis.
The entropy weight method usually calculates the entropy weight of each index by using the information entropy according to the variation degree of each index, thereby obtaining a more objective index weight. The entropy weight method has good discreteness, namely, each index is mutually independent, but in practice, each index of a power grid usually has a certain relation, and in order to accord with the characteristics of the power grid, the invention adds the calculation of contrast strength and conflict, and forms an improved critic method, thereby not only considering the influence of each index on the power grid, but also considering the relation of each index.
And S230, determining the production cost configuration result of each region according to the first weight of each preset cost index of each region.
In the embodiment of the present invention, the configuration result of the production cost may specifically be a configuration proportion of the production cost in each region. According to the first weight of the preset production cost index of each region, the requirement degree of the production cost such as maintenance, use and modification of the power grid of each region can be determined, so that the production cost of each region is accurately distributed, the efficient utilization of the production cost is realized, and the operation and modification of the power grid are facilitated.
In the embodiment of the invention, the weight of each index is calculated by an entropy weight method to obtain an objective weight, then the conflict property and the contrast strength between the indexes are calculated to consider the overlap property of the indexes of the power grid, reduce the influence of information overlap on analysis, and finally obtain the final cost configuration result of the power grid according to the conflict property, the contrast strength and the objective weight of each index, thereby effectively ensuring the reasonable configuration of the production cost.
In some embodiments, S210 may include: acquiring operation and maintenance cost data of the power system of each region in a first historical time period; and clustering the operation and maintenance cost data of the power systems of the regions in the first historical time period according to a fuzzy clustering algorithm to obtain a plurality of preset cost indexes of the power systems of the regions in the first historical time period.
In the embodiment of the present invention, if the cost information of the power grid organization layer is clustered, k objects to be evaluated can be obtained, the data of each evaluation index is m, and the original data matrix X is as follows:
after the original data matrix is obtained, positive and negative index judgment is needed to be carried out on cost indexes in the matrix, and then standardization processing is carried out to eliminate the dimension:
for the forward indicator:
for the reverse indicator:
wherein x is ij The index value of the jth index of the ith area is max (i) is the maximum value of the jth index, min (i) is the minimum value of the jth index, and x i ij A dimensionless value of the index value of the jth index of the ith area.
Then, for these indexes, objective weight, conflict and contrast strength of each index are calculated, respectively. The method comprises the following specific steps:
calculating the proportion of the jth index in the ith area:
and (3) carrying out information entropy calculation on the jth index:
wherein n is the total number of the regions,
the volatility is calculated for each index for each region:
wherein the content of the first and second substances,
for each index (influence factor) mean value
Calculating the correlation coefficient and the conflict of the ith area and the jth influence factor:
in some embodiments, S220 may include:
wherein, W j Is the first weight of the jth index of the region, ewm j Is the objective weight of the jth index of the region, n is the total number of the region, S j For conflict, 1- | r ij And | is the contrast intensity.
In some embodiments, prior to S230, the method further comprises: determining the subjective weight of each preset production cost index of each region according to an analytic hierarchy process; the first weight is modified according to the subjective weight. Accordingly, S230 may include: and determining the configuration result of the production cost of each region according to the corrected first weight.
In the embodiment of the invention, the relationship among the indexes is firstly analyzed, the hierarchical structure among the indexes is established, then the indexes in the same level are compared pairwise to establish a comparison matrix, then the subjective weight of each index is calculated according to the comparison matrix, and finally the consistency check is carried out on the subjective weight to finish the hierarchical analysis process.
After the subjective weight is obtained, the subjective weight and the first weight may be weighted one-to-one to obtain a composite weight, i.e., the modified first weight.
In some embodiments, S230 may include: determining the production cost evaluation values of all regions according to the first weight of each preset production cost index of each region; and determining the cost allocation proportion of each region according to the production cost evaluation value of each region.
In some embodiments, after S230, the method further comprises: aiming at each region, determining a structure adjustment plan of an electric power system of the region according to the region cost configuration result, the first weight of each preset cost index of the region and a knowledge graph established in advance for the region; the pre-established knowledge graph is used for representing the incidence relation between the structure of the power system and the first weight and the production cost configuration result of each preset production cost index.
In the embodiment of the present invention, usually, the production cost of the configuration required by the power system is mainly related to the scale of the power system, and a larger-scale power grid usually needs more configurations. Therefore, after the production cost configuration result is obtained, the power structure with high relevance is inquired from the knowledge graph according to the production cost configuration result and the weight of each index, so that a structure adjustment plan of the future time is determined, and the configured production cost is mainly used for the adjustment plan, so that the optimization of the power system is realized. For example, when the power system obtains a higher share of production cost due to a lower weight of the configuration rate of the operation and maintenance maintainers, it indicates that the power system needs to perform more configuration of the operation and maintenance nodes, and therefore, several operation and maintenance node configuration structures with higher relevance are queried through the knowledge graph, so that a reasonable power system structure adjustment plan is made.
In some embodiments, the method further comprises: and aiming at each area, establishing a knowledge graph of the area according to the first weight of each preset production cost index of the area in a plurality of second historical time periods, the power system structure of the area before each second historical time period and the power system structure after the production cost configuration of each second historical time period.
In the embodiment of the present invention, the second history period may be the previous 5 years, the previous 10 years, and the like, and is not limited herein. The structure of the power system is gradually changed in a historical period, so that index values before and after the change are collected when the structure is changed every time, and the index weight and the production cost before and after the change are calculated, so that a knowledge graph between the structure change, the index weight and the production cost is established. The knowledge graph can be established by collecting real historical data, a power system model can also be established, the transformation process of the power system under various conditions is simulated, and the data obtained by simulation is used as the data in the second historical time period, which is not limited herein.
In conclusion, the beneficial effects of the invention are as follows: the weight of each index is calculated through an entropy weight method to obtain objective weight, then the conflict performance and the contrast strength between the indexes are calculated to consider the overlapping performance of the power grid indexes and reduce the influence of information overlapping on analysis, and finally the final power grid production cost configuration result is calculated according to the conflict performance, the contrast strength and the objective weight of each index, so that the reasonable configuration of the production cost is effectively ensured.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 3 is a schematic structural diagram of a power grid production cost configuration apparatus provided in an embodiment of the present invention. As shown in fig. 3, the power grid production cost configuration apparatus 3 includes:
the obtaining module 310 is configured to obtain a plurality of preset production cost indicators of the electric power system in each region in the first history time period.
A calculating module 320, configured to determine, for each region, a first weight of each preset production cost index of the region according to an improved critic method; the improved critic method is characterized in that a first weight is determined according to the conflict of each index, the contrast strength of each index and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method.
The determining module 330 is configured to determine a configuration result of the production cost of each region according to the first weight of each preset production cost index of each region.
Optionally, the calculating module 320 is specifically configured to:
wherein, W j Is the first weight of the jth index of the region, ewm j Is the objective weight of the jth index of the region, n is the total number of the region, S j For conflict, 1- | r ij And | is the contrast intensity.
Optionally, the power grid production cost configuration device 3 further includes: the correction module is used for determining the subjective weight of each preset production cost index of each region according to the analytic hierarchy process; the first weight is modified according to the subjective weight. Correspondingly, the determining module 330 is specifically configured to determine the configuration result of the production cost of each region according to the corrected first weight.
Optionally, the determining module 330 is specifically configured to: determining a production cost evaluation value of each region according to the first weight of each preset production cost index of each region; and determining the cost allocation proportion of each region according to the production cost evaluation value of each region.
Optionally, the obtaining module 310 is specifically configured to obtain production cost data of the power systems in each region in the first historical time period; and clustering the production cost data of the electric power systems of the areas in the first historical time period according to a fuzzy clustering algorithm to obtain a plurality of preset production cost indexes of the electric power systems of the areas in the first historical time period.
Optionally, the power grid production cost configuration device 3 further includes: the adjusting module is used for determining a structure adjusting plan of the power system of each region according to the configuration result of the production cost of the region, the first weight of each preset production cost index of the region and a knowledge graph established in advance for the region; the pre-established knowledge graph is used for representing the incidence relation between the structure of the power system and the first weight and the production cost configuration result of each preset production cost index.
Optionally, the power grid production cost configuration device 3 further includes: and the training module is used for establishing a knowledge graph of each region according to the first weight of each preset production cost index of the region in a plurality of second historical time periods, the power system structure of the region before each second historical time period and the power system structure after the production cost configuration of each second historical time period.
The power grid production cost configuration device provided by this embodiment may be used to implement the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 4, an embodiment of the present invention provides an electronic device 4, where the electronic device 4 of the embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in the memory 41 and executable on the processor 40. The steps in the various grid production cost configuration method embodiments described above, such as S210 to S230 shown in fig. 2, are implemented when the processor 40 executes the computer program 42. Alternatively, the processor 40, when executing the computer program 42, implements the functions of the various modules/units in the various system embodiments described above, such as the functions of the modules 310 to 330 shown in fig. 3.
Illustratively, the computer program 42 may be partitioned into one or more modules/units, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions that describe the execution of the computer program 42 in the electronic device 4.
The electronic device 4 may be a terminal or a server, where the terminal may be a mobile phone, an MCU, an ECU, and the like, without limitation, and the server may be a physical server, a cloud server, and the like, without limitation. The electronic device 4 may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of the electronic device 4 and does not constitute a limitation of the electronic device 4 and may include more or less components than those shown, or combine certain components, or different components, e.g., the terminal may also include input-output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or a memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk provided on the electronic device 4, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 41 may also include both an internal storage unit of the electronic device 4 and an external storage device. The memory 41 is used for storing computer programs and other programs and data required by the terminal. The memory 41 may also be used to temporarily store data that has been output or is to be output.
The embodiment of the invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps in the power grid production cost configuration method embodiment are realized.
The computer-readable storage medium stores a computer program 42, where the computer program 42 includes program instructions, and the program instructions, when executed by the processor 40, implement all or part of the processes in the method of the embodiments, and may also be implemented by the computer program 42 instructing associated hardware, and the computer program 42 may be stored in a computer-readable storage medium, and the computer program 42, when executed by the processor 40, may implement the steps of the method embodiments. The computer program 42 comprises, among other things, computer program code, which may be in the form of source code, object code, an executable file or some intermediate form. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing computer programs and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A power grid production cost configuration method is characterized by comprising the following steps:
acquiring a plurality of preset cost indexes of the power system of each region in a first historical time period;
determining a first weight of each preset production cost index of each region according to an improved criticic method aiming at each region; the improved critic method is that the first weight is determined according to the conflict of each index, the contrast strength of each index and the objective weight of each index; the objective weight of each index is determined according to an entropy weight method;
and determining the production cost configuration results of each region according to the first weight of each preset production cost index of each region.
2. The method according to claim 1, wherein the determining, for each region, the first weight of each preset production cost index of the region according to a modified critic method includes:
wherein, W j Is the first weight of the jth index of the region, ewm j Is the objective weight of the jth index of the region, n is the total number of the region, S j For the conflict, 1- | r ij And | is the contrast strength.
3. The power grid production cost configuration method according to claim 1, wherein before determining the production cost configuration results for each region according to the first weight of each preset production cost index for each region, the method further comprises:
determining the subjective weight of each preset production cost index of each area according to an analytic hierarchy process;
correcting the first weight according to the subjective weight;
the determining the production cost configuration results of each region according to the first weight of each preset production cost index of each region comprises:
and determining the configuration result of the production cost of each region according to the corrected first weight.
4. The power grid production cost configuration method according to claim 1, wherein the determining the production cost configuration results of each region according to the first weight of each preset production cost index of each region comprises:
determining the production cost evaluation values of all regions according to the first weight of each preset production cost index of each region;
and determining the production cost allocation proportion of each region according to the production cost evaluation value of each region.
5. The method for configuring the grid production cost according to claim 1, wherein the obtaining a plurality of preset production cost indicators of the power systems of the respective regions within the first historical time period comprises:
acquiring operation and maintenance cost data of the power system of each region in a first historical time period;
and clustering the operation and maintenance cost data of the electric power systems of the areas in the first historical time period according to a fuzzy clustering algorithm to obtain a plurality of preset production cost indexes of the electric power systems of the areas in the first historical time period.
6. The power grid production cost configuration method according to claim 1, wherein after determining the production cost configuration results for each region according to the first weight of each preset production cost index for each region, the method further comprises:
aiming at each region, determining a structure adjustment plan of an electric power system of the region according to a production cost configuration result of the region, a first weight of each preset production cost index of the region and a knowledge graph established in advance in the region;
the pre-established knowledge graph is used for representing the incidence relation between the structure of the power system and the first weight and the production cost configuration result of each preset production cost index.
7. The grid production cost configuration method according to claim 6, further comprising:
and aiming at each region, establishing a knowledge graph of the region according to the first weight of each preset production cost index of the region in a plurality of second historical time periods, the power system structure of the region before each second historical time period and the power system structure after the production cost configuration of each second historical time period.
8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the power grid production cost configuration method according to any of the above claims 1 to 7.
9. A cost configuration system, comprising: at least one power system management terminal and the electronic device of claim 8 above.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which when executed by a processor implements the steps of the power grid production cost configuration method according to any of the above claims 1 to 7.
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