CN111695830A - Power resource allocation method, system and equipment - Google Patents
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Abstract
The invention discloses a method, a system and equipment for distributing power resources, which comprises the following steps: selecting a first-level index, a second-level index and a third-level index to establish a customer value index system, respectively calculating the weight occupied by each index through an analytic hierarchy process, calculating a user value evaluation value by adopting an index synthesis method according to the weight occupied by each index, and distributing power resources according to the user value evaluation value. According to the invention, a plurality of indexes are selected to establish a customer value index system, the influence of different factors on customer value is considered in many aspects, and the influence of subjective errors on results is reduced by adopting an analytic hierarchy process, so that the weight occupied by each index is solved, and finally, the customer value is calculated by adopting an index synthesis method, so that the limitation of adopting dimensional index evaluation is overcome, the weighting is carried out in the calculation process, the accuracy of customer value calculation is improved, and finally, the power resources are distributed according to the value degree of the customer, and the utilization rate of the power resources is improved.
Description
Technical Field
The present invention relates to the field of power, and in particular, to a method, a system, and a device for allocating power resources.
Background
With the economic development of China entering a new normal state, the industrial development has structural changes, the high energy consumption and the large industrial power demand are obviously reduced, the power consumption structure is continuously changed, the changes increase the uncertainty of the power demand change, the refined management level needs to be improved urgently, the analysis dimensionality is further reduced, and the market trend is mastered from the power consumption root. On the other hand, with the gradual progress of various measures of electric power system reformation, the openness degree of an electricity selling market is gradually expanded, the annual electricity consumption access threshold of large users is gradually reduced, users participating in market transaction in various regions of the whole province are bound to increase by higher orders of magnitude in the future, the competition pressure faced by a power grid company is gradually increased, the market demand change is reasonably evaluated, the influence on the power grid company after different levels of marketization is judged, and the method has an important reference value for the operation decision of the power grid company.
Currently, a policy for adjusting power supply through research on user value is an effective method for improving the operation level of a power system. However, most of the research on the evaluation method of the power quality customer at present focuses on quantitative analysis of single attributes such as credit degree and satisfaction degree, most of the research adopts an SVM model to predict a user credit evaluation system, but the effect of the SVM model depends on selection of kernel functions, and the prediction capability of the SVM based on other kernel functions cannot be known. A value index system of a high-quality client is established in documents, a single index evaluation method is provided according to different evaluation standards, an index weight method based on an entropy weight method is provided from the marketing perspective, and a mixed model of a comprehensive value synthesis mode and an evaluation system of the high-quality client is constructed.
In summary, the power system in the prior art cannot accurately judge the value of the customer, and therefore, there is a technical problem that the power resource cannot be accurately allocated.
Disclosure of Invention
The invention provides a power resource allocation method, a system and equipment, which are used for solving the technical problems that in the prior art, a power system cannot accurately judge the value degree of a customer and cannot accurately allocate power resources.
The invention provides a power resource allocation method, which comprises the following steps:
s1: establishing a customer value index system, wherein the customer value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index;
s2: carrying out standardization processing on the first-level index, the second-level index and the third-level index;
s3: calculating the first-level index, the second-level index and the third-level index subjected to the standardization treatment by using an analytic hierarchy process to obtain the weight of the first-level index, the weight of the second-level index and the weight of the third-level index;
s4: calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index synthesis method to obtain a customer value comprehensive evaluation index;
s5: evaluating the value of the client by adopting a client value comprehensive evaluation index to obtain a user value evaluation value;
s6: and allocating the power resources of the power system according to the user value evaluation value.
Preferably, the first-level indexes comprise current value, potential value and value-added service value, and the second-level indexes corresponding to the current value comprise income cost, service cost, stability and social benefit; secondary indicators corresponding to potential value include loyalty, credit, and policy guidance; the secondary indexes corresponding to the value-added service value comprise a power consumption big data analysis value, an energy consumption analysis and energy-saving service value, an electric power security and operation and maintenance service, an electric power insurance value, a credit value, an accurate marketing value and an industrial information value.
Preferably, the three-level indexes corresponding to the income contribution comprise the average price of electricity sold and the electricity sold amount; the three-level indexes corresponding to the service cost comprise a voltage grade and a valley power consumption rate; the three-level indexes corresponding to the stability comprise power utilization stability; the third-level index corresponding to the social benefit comprises high energy consumption; the third level of metrics corresponding to loyalty include power growth rate and capacity change; the three-level indexes corresponding to the credit degree comprise the recovery rate of the electric charge, the arrearage amount and the number of times of default electricity utilization; the three levels of metrics corresponding to policy guidance include whether to place policy restrictions and policy encouragement.
Preferably, the specific process of calculating the weight of the first-level index, the weight of the second-level index and the weight of the third-level index by using the analytic hierarchy process is as follows:
s301: establishing a hierarchical structure model based on the first-level index, the second-level index and the third-level index;
s302: constructing a comparison matrix based on the hierarchical structure model;
s303: carrying out consistency check on the comparison matrix to obtain the checked comparison matrix;
s304: and solving the eigenvector corresponding to the maximum eigenvalue of the comparison matrix after the test, and taking the eigenvector as the weight of the first-level index, the weight of the second-level index and the weight of the third-level index.
Preferably, the specific process of step S301 is:
determining a selection target and a selection criterion;
and establishing a hierarchical structure model by taking the selected target as a factor of the highest layer, the selected criterion as a factor of the middle layer and the primary index, the secondary index and the tertiary index as a factor of the lowest layer.
Preferably, the specific process of step S302 is:
comparing every two factors of each layer, and quantitatively grading the comparison result according to the importance degree;
and establishing a comparison matrix according to the comparison result after the quantitative rating.
Preferably, after step S5, step S6 is preceded by:
and performing Shanghai-West distribution transformation on the user value evaluation value.
A power resource distribution system comprises a customer value index module, a standardization processing module, a weight calculation module, a comprehensive evaluation total index module, a user evaluation module and a power resource adjustment module;
the client value index module is used for establishing a client value index system, and the client value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index;
the standardization processing module is used for carrying out standardization processing on the first-level index, the second-level index and the third-level index;
the weight calculation module is used for calculating the first-level index, the second-level index and the third-level index which are subjected to standardization treatment by utilizing an analytic hierarchy process to obtain the weight of the first-level index, the weight of the second-level index and the weight of the third-level index;
the comprehensive evaluation total index module is used for calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index comprehensive method to obtain a customer value comprehensive evaluation index;
the user evaluation module is used for evaluating the value of the client by adopting the client value comprehensive evaluation index to obtain a user value evaluation value;
and the power resource allocation module is used for allocating the power resources of the power system according to the user value evaluation value.
Preferably, the system further comprises a sharehringer-west distribution transformation module, which is used for performing sharehringer-west distribution transformation on the user value evaluation value.
A power resource allocation apparatus comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute one of the above power resource allocation methods according to instructions in the program code.
According to the technical scheme, the embodiment of the invention has the following advantages:
according to the embodiment of the invention, a customer value index system is established by selecting the first-level index, the second-level index and the third-level index, the weight occupied by each index is respectively calculated by an analytic hierarchy process, the user value evaluation value is calculated by adopting an index synthesis method according to the weight occupied by each index, and the power resource is distributed according to the user value evaluation value. According to the embodiment of the invention, a client value index system is established by selecting a plurality of indexes, the influence of different factors on the client value is considered in many aspects, the calculation of the client value is more comprehensive and accurate, the influence of subjective errors on results is reduced by adopting an analytic hierarchy process, so that the weight occupied by each index is solved, finally, the client value is calculated by adopting an index synthesis method, the limitation of adopting dimentional index evaluation is overcome, the weighting is carried out in the calculation process, the accuracy of calculating the client value is further improved, the power system can accurately judge the price degree of a client, the power resource is distributed according to the value degree of the client, and the utilization rate of the power resource is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art 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 for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a method, a system and a device for allocating power resources according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a current value component of a power resource allocation method, system and apparatus according to an embodiment of the present invention.
FIG. 3 is a schematic diagram illustrating potential values of a power resource allocation method, system and apparatus according to an embodiment of the present invention.
FIG. 4 is a schematic diagram of a value-added service value of a power resource allocation method, system and apparatus according to an embodiment of the present invention.
Fig. 5 is a system framework diagram of a power resource allocation method, system and device according to an embodiment of the present invention.
Fig. 6 is a device framework diagram of a power resource allocation method, system and device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a power resource allocation method, a system and equipment, which are used for solving the technical problems that in the prior art, a power system cannot accurately judge the value degree of a customer and cannot accurately allocate power resources.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method, a system and a device for predicting power consumption of a user according to an embodiment of the present invention.
The embodiment of the invention provides a power resource allocation method, which comprises the following steps:
s1: the method comprises the steps that data of a user are obtained from a power system background server, a customer value index system is established according to the data of the user, the customer value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index, the first-level index, the second-level index and the third-level index are set by people, the customer value index system is established by setting multiple indexes by people, the influence of different factors on customer value is considered in many aspects, and the subsequent calculation of the customer value is more comprehensive;
s2: carrying out standardization processing on the first-level index, the second-level index and the third-level index; before customer value evaluation is carried out, single indexes are subjected to non-dimensionalization processing to form a unified data specification, and the influence of original index dimensions is eliminated through mathematical transformation, so that the indexes with different attributes and magnitude difference can be unified to a standard space and play the same direction as the original indexes;
it should be further noted that, in the present embodiment, a linear type, a broken line type, and a curve type are combined for non-dimensionalization, and various ways of converting the formula are related to the conversion index, which are specifically as follows:
a three-fold line dimensionless formula:
wherein x isa、xbIs a set threshold. When x is less than xaWhen y is 0, x is greater than xbWhen y is 1, when x is in xaAnd xbIn between, the value is between 0 and 1.
The half-rising distribution dimensionless formula:
where a is the real threshold of the ascending half-pattern distribution and k > 0.
S3: calculating the first-level index, the second-level index and the third-level index subjected to the standardization treatment by using an analytic hierarchy process to obtain the weight of the first-level index, the weight of the second-level index and the weight of the third-level index; it should be further noted that the analytic hierarchy process decomposes the decision problem into different hierarchical structures according to the sequence of the total goal, sub-goals of each layer, evaluation criteria to the specific backup project, then uses the method of solving and judging the characteristic vector of the matrix to find the priority weight of each element of each layer to a certain element of the previous layer, and finally uses the method of weighted sum to recursively merge the final weight of each backup project to the total goal, the one with the maximum final weight is the optimal project.
S4: calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index synthesis method to obtain a customer value comprehensive evaluation index, wherein a specific calculation formula is as follows:
wherein, ω isiIs the weight of each index, xiThe value of each index value before normalization, xiIs an index standard value, kiThe evaluation index is a single evaluation index, and k is a comprehensive evaluation index of the customer value;
s5: evaluating the value of the client by adopting a client value comprehensive evaluation index to obtain a user value evaluation value;
s6: and distributing the power resources of the power system according to the user value evaluation value, setting power supply priority according to the user value evaluation value, adjusting a power supply policy, and distributing more power resources to the customers with high user value evaluation values.
As a preferred embodiment, the primary indexes include a current value, a potential value and a value-added service value, and it is further explained that the premium power customer value can be categorized into three categories: current value, potential value, and value added service value. The current value refers to the value of the client brought to the enterprise if the current behavior mode of the client is not changed; the potential value refers to the value of a client that a business may increase through certain marketing strategies; the value of the value added service refers to the value added service obtained by the enterprise providing power supply for the client.
Secondary indicators corresponding to the current value include revenue cost, service cost, stability, and social benefits; secondary indicators corresponding to potential value include loyalty, credit, and policy guidance; the secondary indexes corresponding to the value-added service value comprise a power consumption big data analysis value, an energy consumption analysis and energy-saving service value, an electric power security and operation and maintenance service, an electric power insurance value, a credit value, an accurate marketing value and an industrial information value. According to the method, the source of the high-quality customer value is determined, an index system for scientifically evaluating the comprehensive value of the customer is established from multiple angles of income contribution, service cost, stability, social benefit, loyalty, credit, value-added service and the like, and the accuracy of customer value calculation is improved.
As a preferred embodiment, as shown in fig. 2, 3 and 4, the three-level indicators corresponding to the income contribution include the average price of sold electricity and the amount of sold electricity; the three-level indexes corresponding to the service cost comprise a voltage grade and a valley power consumption rate; the three-level indexes corresponding to the stability comprise power utilization stability; the third-level index corresponding to the social benefit comprises high energy consumption; the third level of metrics corresponding to loyalty include power growth rate and capacity change; the three-level indexes corresponding to the credit degree comprise the recovery rate of the electric charge, the arrearage amount and the number of times of default electricity utilization; the three levels of metrics corresponding to policy guidance include whether to place policy restrictions and policy encouragement.
As a preferred embodiment, the specific process of calculating the weight of the primary index, the weight of the secondary index and the weight of the tertiary index by using the analytic hierarchy process is as follows:
s301: establishing a hierarchical structure model based on the first-level index, the second-level index and the third-level index, which comprises the following specific steps:
determining a selection target and a selection criterion; and establishing a hierarchical structure model by taking the selected target as a factor of the highest layer, the selected criterion as a factor of the middle layer and the primary index, the secondary index and the tertiary index as a factor of the lowest layer. The highest level refers to the purpose of decision making and the problem to be solved; the lowest layer refers to an alternative scheme in decision making; the middle layer refers to the considered factors and decision criteria; the decision-making target is to establish a scientific index system for evaluating the comprehensive value of the client, and the decision-making layer is to screen out an index having the highest decision right on the client value evaluation system.
S302: constructing a comparison matrix based on the hierarchical structure model, which comprises the following specific steps:
comparing every two factors of every layer, quantitatively grading comparison result according to importance degree αijFor the result of comparing the importance of the factor i and the factor j, 9 importance levels and assignments thereof are listed in table 1, a matrix formed by the results of two-by-two comparison is called a judgment matrix, and the judgment matrix has the following properties:
decision matrix element αijThe scaling method of (1) is as follows:
TABLE 1
| Factor i to factor j | Quantized value |
| Of equal importance | 1 |
| Of slight importance | 3 |
| Of greater importance | 5 |
| Of strong importance | 7 |
| Of extreme importance | 9 |
| Intermediate values of two adjacent judgments | 2，4，6，8 |
S303: carrying out consistency check on the comparison matrix to obtain the checked comparison matrix; because the comparison matrix does not necessarily satisfy the consistency, the consistency of the comparison matrix needs to be checked, and the consistency of the comparison matrix can be satisfied through the check, and the specific process is as follows:
maximum characteristic root lambda corresponding to the decision matrixmaxThe feature vector of (c) is normalized (the sum of the elements in the vector is equal to 1) and then denoted as W. The elements of W are the sorting weights of the relative importance of the same level factor to a certain factor of the previous level factor, and the process is called level list sorting. If the hierarchical list ordering can be confirmed, consistency check is required, and the consistency check refers to determining an inconsistent allowable range for the A. Wherein the only nonzero characteristic root of the n-order coherent array is n; the maximum characteristic root lambda of the n-order positive reciprocal matrix A is larger than or equal to n, and A is a consistent matrix if and only if lambda is equal to n.
Because of the continuous dependence of lambda on αijIf λ is larger than n, the inconsistency of a is more serious, the consistency index is calculated by CI, and if CI is smaller, the consistency is higher. And using the feature vector corresponding to the maximum feature value as a weight vector of the influence degree of the compared factor on a certain factor of an upper layer, wherein the larger the inconsistency degree is, the larger the judgment error is caused. The magnitude of the λ -n value can be used to measure the degree of inconsistency of a.
The consistency index CI is defined as:
CI is 0, with complete consistency; CI is close to 0, and the consistency is satisfactory; the larger the CI, the more severe the inconsistency.
To measure the magnitude of CI, a random consistency index RI is introduced:
the random consistency index RI is related to the order of the judgment matrix, and in general, the larger the order of the matrix is, the higher the probability of occurrence of consistency random deviation is, and the corresponding relationship is as shown in table 2:
TABLE 2
| Order of matrix | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| RI | 0 | 0 | 0.58 | 0.90 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 |
Considering that the deviation of consistency may be caused by random reasons, when checking and judging whether the proof has satisfactory consistency, CI is compared with the random consistency index RI to obtain a checking coefficient CR, where the following formula:
CR＝CI/RI
among them, RI can be obtained by a table look-up. If CR <0.1, the decision matrix is considered to pass the consistency check, otherwise there is no consistency.
S304: and solving the eigenvector corresponding to the maximum eigenvalue of the comparison matrix after the test, and taking the eigenvector as the weight of the first-level index, the weight of the second-level index and the weight of the third-level index.
As a preferred embodiment, after step S5, before step S6, the method further includes:
the method comprises the following steps of carrying out raised half Gongxi distribution transformation on a user value evaluation value, wherein the raised half Gongxi distribution transformation is probability density distribution which is actually a calculation index, checking the probability that an index drop point occurs according to the probability density distribution, and adopting the following specific formula:
wherein, x'minIs the lowest value of value, x ', of all customers of the current historical data'Threshold valueTo define a threshold, the dimensionless value is 0.9 when the current index reaches the threshold.
As shown in fig. 5, an electric power resource allocation system includes a customer value index module 201, a normalization processing module 202, a weight calculation module 203, a total evaluation index module 204, a user evaluation module 205, and an electric power resource adjustment module 206;
the customer value index module 201 is used for establishing a customer value index system, wherein the customer value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index;
the standardization processing module 202 is used for standardizing the first-level index, the second-level index and the third-level index;
the weight calculation module 203 is configured to calculate the first-level index, the second-level index, and the third-level index after the normalization processing by using an analytic hierarchy process to obtain a weight of the first-level index, a weight of the second-level index, and a weight of the third-level index;
the comprehensive evaluation total index module 204 is used for calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index comprehensive method to obtain a customer value comprehensive evaluation index;
the user evaluation module 205 is configured to evaluate the value of the client by using the client value comprehensive evaluation index to obtain a user value evaluation value;
the power resource allocation module 206 is configured to allocate power resources of the power system according to the user value evaluation value.
As a preferred embodiment, the system further includes a sharehringer-west distribution transformation module 207, which is configured to perform sharehringer-west distribution transformation on the user value evaluation value.
As shown in fig. 6, a power resource allocation apparatus 30 includes a processor 300 and a memory 301;
the memory 301 is used for storing a program code 302 and transmitting the program code 302 to the processor;
the processor 300 is configured to execute the steps of one of the power resource allocation methods described above according to the instructions in the program code 302.
Illustratively, the computer program 302 may be partitioned into one or more modules/units that are stored in the memory 301 and executed by the processor 300 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 302 in the terminal device 30.
The terminal device 30 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal device may include, but is not limited to, a processor 300, a memory 301. Those skilled in the art will appreciate that fig. 6 is merely an example of a terminal device 30, and does not constitute a limitation of terminal device 30, and may include more or fewer components than shown, or some components in combination, or different components, e.g., the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 300 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf 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 storage 301 may be an internal storage unit of the terminal device 30, such as a hard disk or a memory of the terminal device 30. The memory 301 may also be an external storage device of the terminal device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 30. Further, the memory 301 may also include both an internal storage unit and an external storage device of the terminal device 30. The memory 301 is used for storing the computer program and other programs and data required by the terminal device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, 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 an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The 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 can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A power resource allocation method, comprising the steps of:
s1: establishing a customer value index system, wherein the customer value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index;
s2: carrying out standardization processing on the first-level index, the second-level index and the third-level index;
s3: calculating the first-level index, the second-level index and the third-level index subjected to the standardization treatment by using an analytic hierarchy process to obtain the weight of the first-level index, the weight of the second-level index and the weight of the third-level index;
s4: calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index synthesis method to obtain a customer value comprehensive evaluation index;
s5: evaluating the value of the client by adopting a client value comprehensive evaluation index to obtain a user value evaluation value;
s6: and allocating the power resources of the power system according to the user value evaluation value.
2. The power resource allocation method according to claim 1, wherein the primary indexes include a current value, a potential value and a value-added service value, and the secondary indexes corresponding to the current value include a revenue cost, a service cost, stability and social benefits; secondary indicators corresponding to potential value include loyalty, credit, and policy guidance; the secondary indexes corresponding to the value-added service value comprise a power consumption big data analysis value, an energy consumption analysis and energy-saving service value, an electric power security and operation and maintenance service, an electric power insurance value, a credit value, an accurate marketing value and an industrial information value.
3. The power resource allocation method according to claim 2, wherein the three-level indicators corresponding to the income contribution include an average selling price of electricity and an amount of selling electricity; the three-level indexes corresponding to the service cost comprise a voltage grade and a valley power consumption rate; the three-level indexes corresponding to the stability comprise power utilization stability; the third-level index corresponding to the social benefit comprises high energy consumption; the third level of metrics corresponding to loyalty include power growth rate and capacity change; the three-level indexes corresponding to the credit degree comprise the recovery rate of the electric charge, the arrearage amount and the number of times of default electricity utilization; the three levels of metrics corresponding to policy guidance include whether to place policy restrictions and policy encouragement.
4. The power resource allocation method according to claim 1, wherein the specific process of calculating the weight of the primary index, the weight of the secondary index and the weight of the tertiary index by using the analytic hierarchy process is as follows:
s301: establishing a hierarchical structure model based on the first-level index, the second-level index and the third-level index;
s302: constructing a comparison matrix based on the hierarchical structure model;
s303: carrying out consistency check on the comparison matrix to obtain the checked comparison matrix;
s304: and solving the eigenvector corresponding to the maximum eigenvalue of the comparison matrix after the test, and taking the eigenvector as the weight of the first-level index, the weight of the second-level index and the weight of the third-level index.
5. The power resource allocation method according to claim 4, wherein the specific process of step S301 is as follows:
determining a selection target and a selection criterion;
and establishing a hierarchical structure model by taking the selected target as a factor of the highest layer, the selected criterion as a factor of the middle layer and the primary index, the secondary index and the tertiary index as a factor of the lowest layer.
6. The power resource allocation method according to claim 5, wherein the specific process of step S302 is as follows:
comparing every two factors of each layer, and quantitatively grading the comparison result according to the importance degree;
and establishing a comparison matrix according to the comparison result after the quantitative rating.
7. The power resource allocation method according to claim 1, wherein after step S5, before step S6, further comprising:
and performing Shanghai-West distribution transformation on the user value evaluation value.
8. A power resource distribution system is characterized by comprising a customer value index module, a standardization processing module, a weight calculation module, a comprehensive evaluation total index module, a user evaluation module and a power resource adjustment module;
the client value index module is used for establishing a client value index system, and the client value index system comprises a first-level index, a second-level index corresponding to the first-level index and a third-level index corresponding to the second-level index;
the standardization processing module is used for carrying out standardization processing on the first-level index, the second-level index and the third-level index;
the weight calculation module is used for calculating the first-level index, the second-level index and the third-level index which are subjected to standardization treatment by utilizing an analytic hierarchy process to obtain the weight of the first-level index, the weight of the second-level index and the weight of the third-level index;
the comprehensive evaluation total index module is used for calculating the weight of the first-level index, the weight of the second-level index and the third-level index by adopting an index comprehensive method to obtain a customer value comprehensive evaluation index;
the user evaluation module is used for evaluating the value of the client by adopting the client value comprehensive evaluation index to obtain a user value evaluation value;
and the power resource allocation module is used for allocating the power resources of the power system according to the user value evaluation value.
9. The power resource distribution system of claim 8, further comprising a Humicon distribution transformation module for transforming the Humicon distribution of the user value evaluation value.
10. An electric power resource allocation apparatus comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the power resource allocation method according to any one of claims 1 to 7 according to instructions in the program code.
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| CN113159829A (en) * | 2021-03-19 | 2021-07-23 | 北京京东拓先科技有限公司 | Virtual asset allocation method and device and electronic equipment |
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Application publication date: 20200922 |