CN112101700A - Evaluation method of multi-station fusion site selection index system - Google Patents
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Abstract
The invention discloses an evaluation method of a multi-station fusion addressing index system, which comprises the following steps: A. determining an evaluation target, and constructing a multi-station fusion addressing index system; B. comparing the importance of each layer of evaluation indexes of the multi-station fusion index system pairwise to construct a judgment matrix, and analyzing the judgment matrix to obtain a weight set; C. establishing a comment set, and grading the candidate station sites by adopting a fuzzy comprehensive evaluation method to obtain an evaluation matrix; D. and comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score. The index system constructed by the invention covers all influence factors of multi-station fusion; the established multi-station fusion site selection evaluation index system is complete and clear, fuzzy evaluation is adopted when the candidate site selection is scored, and the indexes are not directly scored, so that the artificial subjective factors are reduced, the proposed evaluation method is scientific and reasonable, and the method has the inspiring and guiding functions on the selection of the optimal site for the multi-station fusion project.
Description
Technical Field
The invention relates to the field of a novel multi-station fusion technology, in particular to an evaluation method of a multi-station fusion address selection index system.
Background
At present, the national grid company has comprehensively promoted the construction of three types and two networks, and accelerates the construction of first-class energy Internet enterprises in the world with global competitiveness. As important content and key links of the construction of three-type two-network, the ubiquitous power internet of things is constructed to open a new path for safer operation, more lean management, more accurate investment and better service of a power grid, and simultaneously, the unique advantages of the power grid can be fully exerted to develop a huge blue-sea market of digital economy. In the early 2019, a multi-station fusion service is proposed by national grid limited as one of special pilot tasks for construction of ubiquitous power internet of things. The multi-station integration is one of important applications of ubiquitous power internet of things construction, and is characterized in that resources such as a transformer substation, a photovoltaic power station, a charging and discharging station, a data center station and a 5G base station are gathered, urban resource configuration is optimized, data sensing and analysis operation efficiency is improved, and load on-site consumption is carried out.
At present, the research on single-station site selection evaluation methods in China is mature, the research on multi-station fusion is still in a starting stage, and a method capable of accurately evaluating the multi-station fusion site selection is lacked. The optimal site selection is the foundation of project construction and is the guarantee of successful project construction, and the invention provides a scientific and reasonable evaluation method aiming at multi-site fusion site selection by combining an analytic hierarchy process and a fuzzy comprehensive evaluation method, so that the construction of the ubiquitous power Internet of things can be promoted, and the method is also a positive response to the 'three-type two-network' target provided by the country.
Disclosure of Invention
The invention aims to provide an evaluation method of a multi-station fusion site selection index system aiming at the problems in the prior art, and provides help for promoting the construction of a multi-station fusion project.
The invention aims to solve the problems by the following technical scheme:
an evaluation method of a multi-station fusion addressing index system is characterized in that: the evaluation method comprises the following steps:
A. determining an evaluation target, and constructing a multi-station fusion addressing index system;
B. comparing the importance of each layer of evaluation indexes of the multi-station fusion index system pairwise to construct a judgment matrix, and analyzing the judgment matrix to obtain a weight set;
C. establishing a comment set, and grading the candidate station sites by adopting a fuzzy comprehensive evaluation method to obtain an evaluation matrix;
D. and comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score.
The specific steps of the step A are as follows: and the clear evaluation target is a multi-station fusion site selection index system, and the multi-station fusion site selection index system is constructed by adopting an analytic hierarchy process.
The multi-station fusion site selection index system in the step A comprises a target layer index, a criterion layer index and an index layer index, wherein the target layer index is multi-station fusion, and the criterion layer index comprises economic cost, natural environment, basic condition, technical requirement and humanistic environment.
Economic cost, natural environment, basic conditions and human environment in the indexes of the criterion layer are common influence factors, wherein the economic cost comprises four indexes of the index layer, namely construction investment, time cost, removal cost and operation cost; the natural environment comprises five index layer indexes of hydrometeorological conditions, flood control and earthquake prevention, water source conditions, geological conditions and terrain conditions; the basic conditions comprise four index layer indexes of drainage conditions, transportation conditions, station entering roads and construction conditions; the human environment comprises index layer indexes of public attitude, government attitude and preferential policy.
The technical requirements in the indexes of the criterion layer are characteristic indexes, and the technical requirements respectively determine the indexes of the index layer corresponding to the indexes of the criterion layer according to the single-station requirements of a transformer substation, a charging and discharging station, a data center station, a photovoltaic power station and a 5G base station.
The technical requirement indexes of the transformer substation comprise three index layer indexes of a line corridor, power grid layout and a distance from a load center; the technical requirement indexes of the charging and discharging station comprise three index layer indexes of surrounding vehicle flow, traffic convenience and power supply reliability; the technical requirement indexes of the data center station comprise two index layer indexes of power supply reliability and communication convenience; the technical requirement indexes of the photovoltaic power station comprise three index layer indexes of total radiant quantity, atmospheric quality and illumination time; the technical requirement indexes of the 5G base station comprise two index layer indexes of signal interference degree and user coverage rate.
The weight set calculation in step B comprises the following steps:
b1, comparing every two indexes of the same level according to importance, and establishing a judgment matrix A:
in the formula (1), a represents a judgment matrix of a lower index to an upper index; a isijIndicates a lower index AiRatio AjThe importance degree of the components is generally compared by using a 1-9 scale method; n represents the number of lower indexes;
b2, changing the judgment matrix a to (a)ij)n×nEach column ofNormalization treatment:
in the formula (2), bijRepresenting the ratio of each element in the judgment matrix A to the sum of the row elements;
b3, adding the processed matrixes according to rows:
in the formula (3), the reaction mixture is,
representing a feature vector of the judgment matrix A;
b4, mixing
Normalizing to obtain a weight set Wi：
In the formula (4), WiRepresenting feature vectors
The weight matrix obtained by normalization treatment enables the sum of all elements to be 1, and each element can be regarded as corresponding index weight.
The concrete steps of the step C are as follows:
c1, establishing a comment set U ═ (excellent, good, medium and poor), and respectively assigning V ═ 4,3,2 and 1 to the comment set U, wherein V represents four comment assignment matrices;
c2, inviting 20 experts to carry out fuzzy evaluation on the final-stage indexes of the candidate site to obtain an evaluation matrix R, wherein the rows in the evaluation matrix R represent the fuzzy evaluation of each final-stage index by the experts, the columns are the proportion of the number of the experts giving 4 comments, and the sum of all the columns in the same row is 1.
And D, comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score S:
S＝W×R×VT (5)
in the formula (5), W represents a final-stage index combination weight matrix; r represents an evaluation matrix obtained by expert fuzzy evaluation; vTA transposed matrix representing the four comment assignment matrices.
Compared with the prior art, the invention has the following advantages:
the evaluation method of the invention combs influence factors which need to be considered when multi-station fusion addresses are selected, and divides the influence factors into common indexes and characteristic indexes according to the site selection characteristics of each station, namely, economic cost, natural environment, basic conditions and human environment are common indexes, technical requirements are characteristic indexes, and when an index system is constructed, the characteristic indexes of each station are in a form of grading indexes again, so that the problems of difference and unification of the site selection requirements of different stations are solved, and the constructed index system covers all influence factors of multi-station fusion; the established multi-station fusion site selection evaluation index system is complete and clear, fuzzy evaluation is adopted when the candidate site selection is scored, and the indexes are not directly scored, so that the human subjective factors are reduced as much as possible, the provided evaluation method is scientific and reasonable, and the method has certain inspiring and guiding effects on the selection of the optimal site for the multi-station fusion project.
Drawings
FIG. 1 is a flow chart of a method for evaluating a multi-station fusion index system according to the present invention;
FIG. 2 is a block diagram of a multi-station fusion site selection evaluation index system of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
As shown in fig. 1: an evaluation method of a multi-station fusion addressing index system comprises the following steps:
A. determining an evaluation target, and constructing a multi-station fusion addressing index system;
B. comparing the importance of each layer of evaluation indexes of the multi-station fusion index system pairwise to construct a judgment matrix, and analyzing the judgment matrix to obtain a weight set;
C. establishing a comment set, and grading the candidate station sites by adopting a fuzzy comprehensive evaluation method to obtain an evaluation matrix;
D. and comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score.
The specific steps of the step A are as follows: the method specifically evaluates that a target is a multi-station fusion addressing index system, and adopts an analytic hierarchy process to construct the multi-station fusion addressing index system, and the multi-station fusion is a complex concept, so the method adopts the analytic hierarchy process which can take a complex target as a system, decompose the target into different composition factors, and aggregate and combine the influence factors according to different levels according to the mutual correlation influence and the membership among the factors, thereby forming a multi-level analysis structure model; and the decision making is carried out by utilizing an analytic hierarchy process, so that the decision making effectiveness and feasibility can be improved to a great extent.
The invention researches the connotation of multi-station fusion, wherein the multi-station fusion is an information communication and energy environment related infrastructure and a system platform integrating a transformer substation, a charging and discharging station, a data center station, a photovoltaic power station and a 5G base station, deeply integrates national economy pillar industries such as energy, information communication and the like, realizes intensive construction of massive edge computing nodes and lean utilization of power field stations and communication resources, and can effectively promote development of digital products and service markets such as 5G commercial and intelligent manufacturing, intelligent home and the like.
According to the invention, through deeply researching influence factors in site selection evaluation of each single station of a transformer substation, a charging and discharging station, a data center station, a photovoltaic power station and a 5G base station, representative indexes, namely economic cost, natural environment, basic conditions, technical requirements and human environment are summarized and taken as indexes of a criterion layer; as the indexes of the criterion layer contain more contents and are difficult to qualify, the invention continuously refines the indexes of the criterion layer to obtain more detailed influence factors of the index layer, thereby leading the index system to be more comprehensive.
In addition, the present invention finds: due to the difference of functions of all stations, each single station has different requirements on the index of the technical requirement, if the index is not distinguished, the accuracy of the site selection result is influenced to a great extent, so that economic cost, natural environment, basic conditions and human environment are set as common indexes, the technical requirement is set as a characteristic index, the technical requirement is continuously subdivided into a transformer substation, a charging and discharging station, a data center station, a photovoltaic power station and a 5G base station, and the technical requirement of the single station is discussed separately.
The index architecture is shown in figure 2. The index system consists of 5 dimensionalities of primary indexes of economic cost, natural environment, basic condition, technical requirement and human environment, and secondary indexes and tertiary indexes (all index layer indexes) are also arranged under partial indexes, wherein the economic cost, the natural environment, the basic condition and the human environment belong to common indexes, and the technical requirement is determined as a characteristic index.
The common indicators are as follows:
the economic cost mainly includes construction investment, time cost, removal cost and operation cost. The construction investment is the most visual and comprehensive considering the cost on the whole; the time cost is the duration of a construction period, and has great influence on economic indexes; the removal cost is compensated by all people of the removed house, and the construction investment of the project is also influenced; the operation cost is also a small cost, which has a great influence on economic efficiency, so that sufficient consideration is also needed.
The natural environment mainly comprises hydrometeorological conditions, flood control and shock prevention, water source conditions, geological conditions and topographic conditions. The hydrological weather refers to the weather and weather condition of the site, and the area with stable weather and average precipitation is selected as much as possible; when the site is selected, natural disasters such as flood or earthquake and the like in high-incidence areas are avoided, and the natural disasters have destructive attack on buildings; water is an essential resource for production and life, the operation cost is directly influenced by the difficulty of obtaining the water resource, and the implementation of the water resource must be put at the head; the geological stability is also one of important influencing factors, and areas with uncomplicated conditions are beneficial to coordination and development in all aspects; the landform situation can directly affect the difficulty of the station site construction, thereby affecting the construction cost.
The basic conditions mainly include drainage conditions, transportation conditions, inbound roads and construction conditions. The drainage condition is the drainage condition in the station, is greatly influenced by the terrain, and the construction and safe operation of a drainage system are influenced by the index when an area with smooth drainage is selected; the transportation condition is the traffic convenience condition of a station, and the transportation condition is close to traffic channels such as roads and the like as much as possible, so that the transportation of materials and the later operation, maintenance and inspection can be facilitated; the station-entering road refers to a road required to be built from an original road to the power station, the distance of the station-entering road and the difficulty degree of building can directly influence the construction period and cost of the power station, and can also influence the operation cost in the future; the construction conditions are a series of labor and living conditions in the construction process, and the convenience degree of the construction conditions can directly influence the construction progress.
The human environment influence mainly comprises the public attitude, the government attitude and the preferential policy. The construction of multi-station integration is to serve local masses and promote local economic development, and the support of people should be brought to the greatest extent. Of course, local government support is also indispensable, and site selection must be in accordance with local government planning development and irreversible potential. Preferential subsidy policies of national and local governments directly affect the economic benefits of power stations.
Because the technical requirement is a characteristic index, the technical requirement is discussed separately according to a single station, and the content is as follows:
the main technical requirements of a transformer substation are a line corridor, power grid layout and a distance from a load center. The line corridor is an index for inspecting the rationality of the inlet and outlet of the power line, and not only comprises the existing line inlet and outlet, but also fully measures the future line inlet and outlet, so that the good arrangement of the line corridor can reduce the construction cost and bring great convenience to the construction; when the power grid is distributed, the relationship of each transformer substation in the area needs to be scientifically and reasonably planned in a centralized manner, the coverage area cannot be repeated, and the coverage area cannot be covered, so that the reasonability of investment and the maximization of resource utilization need to be guaranteed through scientific research; the closer to the load center, the smaller the power supply radius is, so the smaller the investment of line construction is, and the network loss caused by the power transmission process is reduced, which is beneficial to reducing the investment.
The technical requirements of the charging and discharging station mainly comprise surrounding traffic flow, traffic convenience and power supply reliability. The size of the traffic flow directly influences the number of potential users, and has great influence on economic benefit. The good traffic condition can obviously improve the station-entering rate of the users, and the size of the station-entering rate influences the number of the users, so that the benefit of the charging station is determined. Power supply reliability is an important factor for improving the quality of service. When the automobile is charged, especially when the automobile is charged quickly, the huge charging requirement inevitably generates power grid harmonic waves, and the harmonic waves are one of factors influencing the stability of the power grid. If a power outage situation occurs while charging, the user experience can be greatly affected.
The main technical requirements of the data center are power supply reliability and communication convenience. Reliable power supply is the first element to be considered in site selection of the data center, and is the fundamental guarantee for realizing the functions of the data center and the user experience. The nature of the operation of a data center is actually a series of operations for processing, transmitting, exchanging, storing, calculating and the like of electronic information, and the relationship between the data center and communication is not very clear, so that the infrastructure of a telecommunication network in the area where the data center is located should be relatively sound or developed.
The main technical requirements of a photovoltaic power station are total radiant quantity, atmospheric quality and illumination time. Photovoltaic power plants have high requirements mainly for illumination and natural environment. The total radiant quantity is an important index reflecting the abundance degree of solar energy resources in a region. The amount of the illumination time also determines the utilization value of the solar energy resources in the area. The influence of the atmospheric quality is mainly reflected in the amount of dust in the atmosphere, and the dust deposited on the surface of the solar cell has a great influence on the performance of the cell, so that the efficiency of converting light energy into electric energy is directly influenced.
The main technical requirements of the 5G base station are signal interference and user coverage. With the advent of the 5G era, the construction of base stations is also of particular importance. However, since the frequency of the 5G signal is high and the coverage area is small, good coverage is the foundation for ensuring the popularization of 5G. Meanwhile, the influence of surrounding signal interference sources is also considered, and the problems of poor call quality, no signal reception and the like caused by large signal interference are solved.
The weight set calculation in step B comprises the following steps:
b1, comparing every two indexes of the same level according to importance, and establishing a judgment matrix A:
in the formula (1), a represents a judgment matrix of a lower index to an upper index; a isijIndicates a lower index AiRatio AjThe importance degree of the components is generally compared by using a 1-9 scale method; n represents the number of lower indexes;
b2, changing the judgment matrix a to (a)ij)n×nPer column normalization process:
in the formula (2), bijRepresenting the ratio of each element in the judgment matrix A to the sum of the row elements;
b3, adding the processed matrixes according to rows:
in the formula (3), the reaction mixture is,
representing a feature vector of the judgment matrix A;
b4, mixing
Normalizing to obtain a weight set Wi：
In the formula (4), WiRepresenting feature vectors
The weight matrix obtained by normalization treatment enables the sum of all elements to be 1, and each element can be regarded as corresponding index weight.
The concrete steps of the step C are as follows:
c1, establishing a comment set U ═ (excellent, good, medium and poor), and respectively assigning V ═ 4,3,2 and 1 to the comment set U, wherein V represents four comment assignment matrices;
c2, inviting 20 experts to carry out fuzzy evaluation on the final-stage indexes of the candidate site to obtain an evaluation matrix R, wherein the rows in the evaluation matrix R represent the fuzzy evaluation of each final-stage index by the experts, the columns are the proportion of the number of the experts giving 4 comments, and the sum of all the columns in the same row is 1.
D, comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score S:
S＝W×R×VT (5)
in the formula (5), W represents a final-stage index combination weight matrix; r represents an evaluation matrix obtained by expert fuzzy evaluation; vTA transposed matrix representing the four comment assignment matrices.
The final level index referred to herein refers to an index layer index, including: construction investment, time cost, removal cost, operation cost, hydrological weather, flood control and earthquake prevention, water source condition, geological condition, terrain condition, drainage condition, transportation condition, inbound road, construction condition, mass attitude, government attitude, preferential policy, line corridor, power grid layout, distance from load center, surrounding vehicle flow, traffic convenience, power supply reliability, communication convenience, total radiation, atmospheric quality, illumination time, signal interference and user coverage.
Examples
Aiming at a multi-station fusion project, a city is planned to establish two candidate station addresses, namely a station address A and a station address B, through preliminary investigation and investigation. The first station is a transformer substation located in an urban area, and the transformer substation is planned to be transformed due to long years, so that the surrounding basic environment is good, the traffic flow is large, users are concentrated, but the road is narrow, and the transportation is inconvenient; the second candidate station is a waste factory in a suburb, is close to a provincial road, has good transportation conditions, is spacious in the periphery, has no building to shield sunlight, but has general basic conditions. The evaluation method of the multi-station fusion site selection index system provided by the invention is adopted to comprehensively evaluate two candidate station sites.
Firstly, determining index weight by using an analytic hierarchy process.
Calculating the weight of each index in the addressing index system relative to the corresponding index at the previous stage by using the index weight calculation method provided in the step B, firstly constructing a judgment matrix A, wherein the judgment matrix A belongs to five criterion layer indexes respectively marked as A as shown in Table 11Economic cost, A2Natural environment, A3Basic condition, A4Technical requirement, A5A human environment.
TABLE 1 decision matrix A-A1-5
As shown in Table 2, A1Under the economic cost, there are four secondary indexes, respectively marked as B11Construction investment, B12Cost of time, B13Cost of removal, B14The cost of operation.
TABLE 2 decision matrix A1-B11-14
As shown in Table 3, A2Under natural environment, there are five secondary indexes, respectively labeled as B21Hydrological weather, B22Flood control and earthquake prevention, B23Water source condition, B24Geological conditions, B25Topographic conditions。
TABLE 3 decision matrix A2-B21-25
As shown in Table 4, A3Under the basic condition, there are four secondary indexes, respectively marked as B31Drainage conditions, B32Transport conditions, B33Inbound road, B34And (5) construction conditions.
TABLE 4 decision matrix A3-B31-34
As shown in Table 5, A4Under the technical requirements, there are five secondary indexes, respectively marked as B41Charging and discharging station, B42Substation, B43Data center, B44Photovoltaic power station, B45And 5G base stations.
TABLE 5 decision matrix A4-B41-45
As shown in Table 6, A5Under the human environment, there are three secondary indexes, respectively labeled as B51Mass attitude, B52Government attitude, B53And (4) preferential policy.
TABLE 6 decision matrix A5-B51-53
As shown in Table 7, B41Three-level indexes are arranged under the charging and discharging station and are respectively marked as C411Flow rate of surrounding vehicles, C412Convenience of traffic, C413And power supply reliability.
TABLE 7 decision matrix B41-C411-413
As shown in Table 8, B42Three-level indexes are arranged below the transformer substation and are respectively marked as C421Line corridor, C422Grid layout, C423Distance from the center of the load.
TABLE 8 decision matrix B42-C421-423
As shown in Table 9, B43Under the data center station, there are two three-level indexes, respectively labeled as C431Reliability of power supply, C432And communication convenience.
TABLE 9 decision matrix B43-C431-432
As shown in Table 10, B44Under the photovoltaic power station, there are three-level indexes, respectively marked as C441Total radiation, C442Mass of atmosphere, C443The illumination time.
TABLE 10 decision matrix B44-C441-443
As shown in Table 11, B45Under the 5G base station, there are two three-level indexes, respectively labeled as C451Degree of signal interference, C452User coverThe capping rate.
TABLE 11 decision matrix B45-C451-452
And obtaining the weight ratio of each index in the multi-station fusion site selection evaluation index system according to the data, and calculating the index combination weight of the index layer as shown in table 12.
TABLE 12 Final-level index combination weights
And secondly, scoring the candidate station addresses by using a fuzzy comprehensive evaluation method.
And C, evaluating the final-stage indexes of the two candidate station addresses by using the method provided in the step C to obtain an evaluation matrix R:
thirdly, fuzzy comprehensive evaluation is carried out
And D, multiplying the obtained final-stage index comprehensive weight set W by the fuzzy evaluation matrix R by using the formula in the step D to obtain a fuzzy comprehensive result B of each candidate station, and then performing weighted calculation by multiplying the B by the assigned value set V to obtain a final score S: sFirst of all＝W×RFirst of all×VT＝3.088；SSecond step＝W×RSecond step×VT2.753. The average value of the comprehensive weight of each final-stage index is obtained from Table 12
Wherein the construction investment, time cost, removal cost, flood control and earthquake prevention, surrounding traffic flow, power grid layout and loadThe load center distance, the communication convenience, the total radiant quantity, the government attitude and the preferential policy weight are higher than the average value. The candidate site of the A is slightly ahead of the candidate site of the B in the items, and the final score of the A is higher than that of the B. Therefore, the candidate site A is more suitable to be a multi-site fusion project building point than the candidate site B.
The evaluation method of the invention combs influence factors which need to be considered when multi-station fusion addresses are selected, and divides the influence factors into common indexes and characteristic indexes according to the site selection characteristics of each station, namely, economic cost, natural environment, basic conditions and human environment are common indexes, technical requirements are characteristic indexes, and when an index system is constructed, the characteristic indexes of each station are in a form of grading indexes again, so that the problems of difference and unification of the site selection requirements of different stations are solved, and the constructed index system covers all influence factors of multi-station fusion; the established multi-station fusion site selection evaluation index system is complete and clear, fuzzy evaluation is adopted when the candidate site selection is scored, and the indexes are not directly scored, so that the human subjective factors are reduced as much as possible, the provided evaluation method is scientific and reasonable, and the method has certain inspiring and guiding effects on the selection of the optimal site for the multi-station fusion project.
The foregoing is only a preferred embodiment of the present invention and is not limiting thereof; it should be noted that, although the present invention has been described in detail with reference to the above embodiments, those skilled in the art will understand that the technical solutions described in the above embodiments can be modified, and some or all of the technical features can be equivalently replaced; the modifications and the substitutions do not make the essence of the corresponding technical scheme depart from the scope of the embodiments of the invention, and the technical scheme falls within the protection scope of the invention; the technology not related to the invention can be realized by the prior art.
Claims (9)
1. An evaluation method of a multi-station fusion addressing index system is characterized in that: the evaluation method comprises the following steps:
A. determining an evaluation target, and constructing a multi-station fusion addressing index system;
B. comparing the importance of each layer of evaluation indexes of the multi-station fusion index system pairwise to construct a judgment matrix, and analyzing the judgment matrix to obtain a weight set;
C. establishing a comment set, and grading the candidate station sites by adopting a fuzzy comprehensive evaluation method to obtain an evaluation matrix;
D. and comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score.
2. The method for evaluating a multi-station converged addressing indicator architecture according to claim 1, wherein: the specific steps of the step A are as follows: and the clear evaluation target is a multi-station fusion site selection index system, and the multi-station fusion site selection index system is constructed by adopting an analytic hierarchy process.
3. The method for evaluating a multi-station converged addressing indicator architecture according to claim 1 or 2, wherein: the multi-station fusion site selection index system in the step A comprises a target layer index, a criterion layer index and an index layer index, wherein the target layer index is multi-station fusion, and the criterion layer index comprises economic cost, natural environment, basic condition, technical requirement and humanistic environment.
4. The method of claim 3, wherein the method comprises: economic cost, natural environment, basic conditions and human environment in the indexes of the criterion layer are common influence factors, wherein the economic cost comprises four indexes of the index layer, namely construction investment, time cost, removal cost and operation cost; the natural environment comprises five index layer indexes of hydrometeorological conditions, flood control and earthquake prevention, water source conditions, geological conditions and terrain conditions; the basic conditions comprise four index layer indexes of drainage conditions, transportation conditions, station entering roads and construction conditions; the human environment comprises index layer indexes of public attitude, government attitude and preferential policy.
5. The method of claim 3, wherein the method comprises: the technical requirements in the indexes of the criterion layer are characteristic indexes, and the technical requirements respectively determine the indexes of the index layer corresponding to the indexes of the criterion layer according to the single-station requirements of a transformer substation, a charging and discharging station, a data center station, a photovoltaic power station and a 5G base station.
6. The method of claim 5, wherein the method comprises: the technical requirement indexes of the transformer substation comprise three index layer indexes of a line corridor, power grid layout and a distance from a load center; the technical requirement indexes of the charging and discharging station comprise three index layer indexes of surrounding vehicle flow, traffic convenience and power supply reliability; the technical requirement indexes of the data center station comprise two index layer indexes of power supply reliability and communication convenience; the technical requirement indexes of the photovoltaic power station comprise three index layer indexes of total radiant quantity, atmospheric quality and illumination time; the technical requirement indexes of the 5G base station comprise two index layer indexes of signal interference degree and user coverage rate.
7. The method for evaluating a multi-station converged addressing indicator architecture according to claim 1, wherein: the weight set calculation in step B comprises the following steps:
b1, comparing every two indexes of the same level according to importance, and establishing a judgment matrix A:
in the formula (1), a represents a judgment matrix of a lower index to an upper index; a isijIndicates a lower index AiRatio AjThe importance degree of the components is generally compared by using a 1-9 scale method; n represents the number of lower indexes;
b2, changing the judgment matrix a to (a)ij)n×nPer column normalization process:
in the formula (2), bijRepresenting the ratio of each element in the judgment matrix A to the sum of the row elements;
b3, adding the processed matrixes according to rows:
in the formula (3), the reaction mixture is,
representing a feature vector of the judgment matrix A;
b4, mixing
Normalizing to obtain a weight set Wi：
In the formula (4), WiRepresenting feature vectors
The weight matrix obtained by normalization treatment enables the sum of all elements to be 1, and each element can be regarded as corresponding index weight.
8. The method for evaluating a multi-station converged addressing indicator architecture according to claim 1, wherein: the concrete steps of the step C are as follows:
c1, establishing a comment set U ═ (excellent, good, medium and poor), and respectively assigning V ═ 4,3,2 and 1 to the comment set U, wherein V represents four comment assignment matrices;
c2, inviting 20 experts to carry out fuzzy evaluation on the final-stage indexes of the candidate site to obtain an evaluation matrix R, wherein the rows in the evaluation matrix R represent the fuzzy evaluation of each final-stage index by the experts, the columns are the proportion of the number of the experts giving 4 comments, and the sum of all the columns in the same row is 1.
9. The method for evaluating a multi-station converged addressing indicator architecture according to claim 1, wherein: and D, comprehensively evaluating the candidate station sites by combining the index weight and the evaluation matrix to obtain a comprehensive score S:
S＝W×R×VT (5)
in the formula (5), W represents a final-stage index combination weight matrix; r represents an evaluation matrix obtained by expert fuzzy evaluation; vTA transposed matrix representing the four comment assignment matrices.
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