CN112613710A - Power transmission and transformation project cost module division rationality assessment method - Google Patents

Power transmission and transformation project cost module division rationality assessment method Download PDF

Info

Publication number
CN112613710A
CN112613710A CN202011479648.3A CN202011479648A CN112613710A CN 112613710 A CN112613710 A CN 112613710A CN 202011479648 A CN202011479648 A CN 202011479648A CN 112613710 A CN112613710 A CN 112613710A
Authority
CN
China
Prior art keywords
evaluation
module division
rationality
fuzzy
project cost
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011479648.3A
Other languages
Chinese (zh)
Inventor
赵学花
申亚波
李燕
刘金朋
张英
易庚
赵欣
杨玲艳
刘璐
周连凯
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co Ltd
Original Assignee
North China Electric Power University
Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China Electric Power University, Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co Ltd filed Critical North China Electric Power University
Priority to CN202011479648.3A priority Critical patent/CN112613710A/en
Publication of CN112613710A publication Critical patent/CN112613710A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Development Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Mathematical Physics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Mathematical Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Finance (AREA)
  • Computational Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Game Theory and Decision Science (AREA)
  • Mathematical Optimization (AREA)
  • Tourism & Hospitality (AREA)
  • Pure & Applied Mathematics (AREA)
  • Educational Administration (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Algebra (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Computing Systems (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a power transmission and transformation project cost module division rationality evaluation method, which comprises the following steps: s1, combining a module division target and a current situation, screening an evaluation index, and combining the purpose and the application condition of the module division to pointedly construct an evaluation index system; s2, designing a questionnaire, establishing an evaluation expert group, soliciting opinions of each expert under the condition that the group members do not discuss each other and do not have transverse connection, and judging according to the module division condition; s3, based on actual experience and theoretical basis of experts, making reasonable, general, poor and very poor fuzzy evaluation sets with different degrees according to judgment standards of current module division and compilation conditions of a general scheme respectively according to the judgment standards; and S4, carrying out rationality evaluation, and calculating the membership degree of the evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion. The invention improves the fine management level of the manufacturing cost.

Description

Power transmission and transformation project cost module division rationality assessment method
Technical Field
The application relates to the technical field of power transmission and transformation project scheme module division management, in particular to a power transmission and transformation project cost module division rationality assessment method.
Background
In recent years, national grid companies have carried out intelligent substation modular construction in a comprehensive manner.
The general construction cost follows a modularized design idea, and the boundary conditions of module division are determined on the basis of reasonable division of a technical scheme; according to the main factors influencing the construction cost, the types of the modules are combined and supplemented, the requirement of the design scheme of the transformer substation is met to the maximum extent, and the adaptability and the flexibility of the general construction cost are enhanced. The power distribution unit base modules of the same type can be mutually called according to specific situations.
Therefore, the method for evaluating the rationality of the division of the power transmission and transformation project cost modules is provided, the rational division of the modules can be further guided, the scientificity and the rationality of the division of the modules are improved, and the method is a main problem to be solved.
Disclosure of Invention
The application provides a power transmission and transformation project cost module division rationality assessment method which is used for solving the practical problems of module division scientificity, rationality and the like.
The technical scheme adopted by the application is as follows:
the invention provides a power transmission and transformation project cost module division rationality evaluation method, which comprises the following steps:
s1, combining a module division target and a current situation, screening an evaluation index, and combining the purpose and the application condition of the module division to pointedly construct an evaluation index system;
s2, designing a questionnaire, establishing an evaluation expert group, soliciting opinions of each expert under the condition that the group members do not discuss each other and do not have transverse connection, and judging according to the module division condition;
s3, based on actual experience and theoretical basis of experts, making reasonable, general, poor and very poor fuzzy evaluation sets with different degrees according to judgment standards of current module division and compilation conditions of a general scheme respectively according to the judgment standards;
and S4, carrying out rationality evaluation, and calculating the membership degree of the evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion.
Further, carrying out rationality evaluation, and calculating the membership degree of the evaluation set by a fuzzy mathematics theoretical method to obtain a final evaluation conclusion, wherein the method comprises the following steps:
and carrying out rationality evaluation by fully combining the current situation and the application scene of module division, evaluating whether the module division inherits the advanced experience of standardized construction and is integrated with regional characteristics, and calculating the membership of an evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion.
Further, in step S1, the screening of the evaluation indexes follows the basic principle of evaluation index selection, and includes:
selecting an index and evaluating the fit principle of a target;
the operability principle is used for determining the meanings of different indexes;
the selected indexes can comprehensively reflect the evaluation target of the rationality, and the indexes are screened by combining the actual experience of relevant experts and the expert experience and theory, so that a power transmission and transformation project cost module division rationality evaluation index system is constructed.
Further, in step 3, in the fuzzy evaluation sets of different degrees of "reasonable, more reasonable, general, worse, very poor" are respectively made according to their judgment criteria, the basic principle of determining the index weight by using an analytic hierarchy process is applied:
the evaluation work by using the analytic hierarchy process can be generally carried out according to the following four steps:
1) establishing a hierarchical structure model;
2) constructing all judgment matrixes in each layer;
3) sorting the hierarchical lists and checking consistency;
4) and (5) carrying out overall hierarchical ordering and consistency check.
Further, in step 4, the basic principle of operation is performed on the membership degree of the evaluation set by a fuzzy mathematical theory method:
determining an evaluation factor set U ═ U1,u2,...,un,}；
Establishing a set of judgments V ═ V1,v2,...,vn,}；
Establishing a fuzzy relation matrix R from U to V;
determining a weight vector W ═ W of the evaluation factors1,w2,...,wn,}；
And synthesizing a fuzzy comprehensive evaluation result matrix S.
The technical scheme of the application has the following beneficial effects:
the rationality evaluation method for the power transmission and transformation project cost module division can be provided by combining the current module division situation, can further guide the rational division of the modules, improves the scientificity and rationality of the module division, can be expanded and analyzed by combining the application scenes of the module division, summarizes the construction management experience of the power transmission and transformation project in specific areas by relying on the general cost compilation result, and selects and deepens the typical scheme and the basic module from the aspects of local special natural conditions, regional economic development conditions and the like to form a practical typical scheme and a practical module division scheme in the specific areas. Can support the accurate management and control of the power transmission and transformation project cost in specific areas.
The rationality of the module division is evaluated by constructing the evaluation method for the rationality of the power transmission and transformation project cost module division, and tools and guidance are provided for guaranteeing the applicability and the typicality of a typical scheme and the scientificity and the rationality of the module division, so that support and guarantee are provided for popularization of modular scheme application, and the fine management level of the cost is improved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for assessing the rationality of the division of a transmission and transformation project cost module;
fig. 2 is a hierarchical analysis structure division intention of step 3 in the power transmission and transformation project cost module division rationality evaluation method.
Detailed Description
Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with the present application. But merely as exemplifications of systems and methods consistent with certain aspects of the application, as recited in the claims.
As shown in fig. 1, the utility model provides a power transmission and transformation project cost module division rationality assessment method, which includes the following steps:
s1, combining a module division target and a current situation, screening an evaluation index, and combining the purpose and the application condition of the module division to pointedly construct an evaluation index system;
the screening evaluation index follows the basic principle of evaluation index selection, and comprises the following steps:
selecting an index and evaluating the fit principle of a target;
the operability principle is used for determining the meanings of different indexes;
the selected indexes can comprehensively reflect the evaluation target of the rationality, and the indexes are screened by combining the actual experience of relevant experts and the expert experience and theory, so that a power transmission and transformation project cost module division rationality evaluation index system is constructed.
S2, designing a questionnaire, establishing an evaluation expert group, soliciting opinions of each expert under the condition that the group members do not discuss each other and do not have transverse connection, and judging according to the module division condition;
s3, based on actual experience and theoretical basis of experts, making reasonable, general, poor and very poor fuzzy evaluation sets with different degrees according to judgment standards of current module division and compilation conditions of a general scheme respectively according to the judgment standards;
respectively making reasonable, general, poor and very poor fuzzy evaluation sets with different degrees according to the judgment standards, and determining the basic principle of index weight by using an analytic hierarchy process:
the evaluation work by using the analytic hierarchy process can be generally carried out according to the following four steps:
1) establishing a hierarchical structure model;
2) constructing all judgment matrixes in each layer;
3) sorting the hierarchical lists and checking consistency;
4) and (5) carrying out overall hierarchical ordering and consistency check.
As shown in fig. 2, a hierarchical structure is firstly constructed, a resolution problem is refined and decomposed, a carding structure is constructed into a hierarchical structure from top to bottom, a complex problem is decomposed into a plurality of core elements, and an upper layer element plays a role in determining and dominating a lower layer element.
When AHP is applied to analyzing decision-making problems, firstly, the responsible problems are decomposed into a plurality of elements, then the elements are decomposed into a plurality of layers according to the attributes of the elements, and finally, a problem structure model with layers is constructed to be used as the basis for calculation of an analytic hierarchy process.
Structural judgment matrix
The hierarchical structure reflects the relationship among the factors, but the proportion of each criterion in the criterion layer in the target measurement is not necessarily the same, and the criteria in the criterion layer respectively account for a certain proportion in the mind of a decision maker. In order to represent the weight correspondence between the respective elements, a judgment matrix needs to be constructed, and the correspondence between the elements is generally evaluated by a 1-9 scaling method and using numbers 1-9 and their inverses as scales.
Single rank consistency check
Generally, a consistency index CI is used for checking whether each judgment matrix is reasonably designed and whether logic errors exist, and generally, when the CI is less than 0.10, the judgment matrix is reasonable and does not need to be adjusted again within an acceptable range, otherwise, the judgment matrix needs to be further adjusted and corrected.
Total ordering consistency check
After the single ordering consistency meets the requirement, consistency check is also needed to be carried out on the total ordering. If the check is passed, the current weight sorting result can be used as a final decision basis. If the consistency index is larger than 0.1, each index layer also needs to be newly constructed.
And S4, carrying out rationality evaluation, and calculating the membership degree of the evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion.
The current situation and the application scene of module division are fully combined, rationality evaluation is carried out, whether the module division inherits the advanced experience of standardized construction or not is evaluated, regional characteristics are integrated, the membership degree of an evaluation set is calculated through a fuzzy mathematics theoretical method, a final evaluation conclusion is obtained, and the manufacturing cost determination is more scientific and reasonable, closer to the engineering practice and more convenient to popularize and apply.
The basic principle of operation aiming at the membership degree of an evaluation set by a fuzzy mathematic theoretical method is as follows:
(1) determining an evaluation factor set U ═ U1,u2,...,un,}；
The set U is composed of a plurality of influence factors of the evaluation objects, and forms an evaluation index system. Wherein u isi(i ═ 1, 2., n) is an evaluation index, namely, an influence factor after screening.
(2) Establishing a set of judgments V ═ V1,v2,...,vn,}；
The evaluation set V is composed of different evaluation grades, such as "excellent, good, qualified", "strong, weak", etc., and is determined according to the characteristics of the evaluation object. Wherein m represents the number of evaluation levels, vj(j ═ 1, 2.. times, m) denotes the comment for each index. Research on application documents of the fuzzy comprehensive evaluation method shows that the comment grade division in the evaluation process is too simple, so that a comment grade standard can be established and properly stated.
(3) Establishing a fuzzy relation matrix R from U to V;
establishing fuzzy membership degree subset Ri＝{ri1,ri2,...,rim1,2, ·, n; j is 1, 2. Wherein R isiCan be interpreted as the evaluation factor u for the ithiOne relative v obtained by performing one-factor evaluationjI.e. the i-th evaluation index is based on each evaluation criterion v in the set of evaluation targets1,v1,...,vnDegree of membership. The calculation formula is rijIs equal to the selection v in the i-th evaluation indexiNumber of people in rank/number of people participating in the evaluation. The fuzzy membership degree subsets of each index are collectedThe total available fuzzy relation matrix R, namely:
Figure BDA0002830862100000051
(4) determining a weight vector W ═ W of the evaluation factors1,w2,...,wn,}；
wiThe weight of the factor, i.e., the degree of importance of the evaluation index. Wherein w is more than or equal to 0iLess than or equal to 1. The determination of the weight is the key of a fuzzy comprehensive evaluation method, and the quality of the weight is related by selecting a proper weight assignment method.
(5) And synthesizing a fuzzy comprehensive evaluation result matrix S (membership degree matrix).
And synthesizing an evaluation result matrix through fuzzy transformation according to the weight vector W and the fuzzy matrix R obtained in the step. A multiplication and addition operator is used to perform a blurring operation between the weight vector W and the blurring matrix R.
The calculation formula of the multiplication and addition type fuzzy operator is as follows:
Figure BDA0002830862100000052
in summary, the final result (matrix S) of the fuzzy comprehensive evaluation is the synthesis of the weight vector W and the membership matrix R. The following were used:
Figure BDA0002830862100000053
in the formula:
Figure BDA0002830862100000054
the rationality evaluation method for power transmission and transformation project cost module division can be provided by combining the current module division situation, reasonable division of modules can be further guided, scientificity and rationality of module division are improved, meanwhile, expansion analysis can be performed by combining application scenes of module division, construction management experiences of power transmission and transformation projects in specific areas are summarized by relying on general cost compilation results, selection and deepening are performed on typical schemes and basic modules from aspects such as local area special natural conditions and area economic development conditions, and practical typical schemes and module division schemes in specific areas are formed. Can support the accurate management and control of the power transmission and transformation project cost in specific areas.
The rationality of the module division is evaluated by constructing the evaluation method for the rationality of the power transmission and transformation project cost module division, and tools and guidance are provided for guaranteeing the applicability and the typicality of a typical scheme and the scientificity and the rationality of the module division, so that support and guarantee are provided for popularization of modular scheme application, and the fine management level of the cost is improved.
The embodiments provided in the present application are only a few examples of the general concept of the present application, and do not limit the scope of the present application. Any other embodiments extended according to the scheme of the present application without inventive efforts will be within the scope of protection of the present application for a person skilled in the art.

Claims (5)

1. A power transmission and transformation project cost module division rationality assessment method is characterized by comprising the following steps:
s1, combining a module division target and a current situation, screening an evaluation index, and combining the purpose and the application condition of the module division to pointedly construct an evaluation index system;
s2, designing a questionnaire, establishing an evaluation expert group, soliciting opinions of each expert under the condition that the group members do not discuss each other and do not have transverse connection, and judging according to the module division condition;
s3, based on actual experience and theoretical basis of experts, making reasonable, general, poor and very poor fuzzy evaluation sets with different degrees according to judgment standards of current module division and compilation conditions of a general scheme respectively according to the judgment standards;
and S4, carrying out rationality evaluation, and calculating the membership degree of the evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion.
2. The electric transmission and transformation project cost module division rationality evaluation method according to claim 1, wherein rationality evaluation is carried out, and a final evaluation conclusion is obtained by calculating the membership degree of an evaluation set through a fuzzy mathematics theoretical method, and the evaluation method comprises the following steps:
and carrying out rationality evaluation by fully combining the current situation and the application scene of module division, evaluating whether the module division inherits the advanced experience of standardized construction and is integrated with regional characteristics, and calculating the membership of an evaluation set by a fuzzy mathematic theoretical method to obtain a final evaluation conclusion.
3. The electric transmission and transformation project cost module division rationality evaluation method according to claim 1, characterized in that in step S1, screening evaluation indexes follows the basic principle of evaluation index selection, including:
selecting an index and evaluating the fit principle of a target;
the operability principle is used for determining the meanings of different indexes;
the selected indexes can comprehensively reflect the evaluation target of the rationality, and the indexes are screened by combining the actual experience of relevant experts and the expert experience and theory, so that a power transmission and transformation project cost module division rationality evaluation index system is constructed.
4. The electric transmission and transformation project cost module division rationality assessment method according to claim 1, characterized in that in step 3, fuzzy evaluation sets of different degrees of "reasonable, more reasonable, general, worse, very poor" are respectively made according to their judgment criteria, and the basic principle of index weight is determined by using an analytic hierarchy process:
the evaluation work by using the analytic hierarchy process can be generally carried out according to the following four steps:
1) establishing a hierarchical structure model;
2) constructing all judgment matrixes in each layer;
3) sorting the hierarchical lists and checking consistency;
4) and (5) carrying out overall hierarchical ordering and consistency check.
5. The electric transmission and transformation project cost module division rationality assessment method according to claim 1 or 2, characterized in that in step 4, the basic principle of operation is performed on the membership degree of an evaluation set by a fuzzy mathematics theoretical method:
determining an evaluation factor set U ═ U1,u2,...,un,}；
Establishing a set of judgments V ═ V1,v2,...,vn,}；
Establishing a fuzzy relation matrix R from U to V;
determining a weight vector W ═ W of the evaluation factors1,w2,...,wn,}；
And synthesizing a fuzzy comprehensive evaluation result matrix S.
CN202011479648.3A 2020-12-11 2020-12-11 Power transmission and transformation project cost module division rationality assessment method Pending CN112613710A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011479648.3A CN112613710A (en) 2020-12-11 2020-12-11 Power transmission and transformation project cost module division rationality assessment method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011479648.3A CN112613710A (en) 2020-12-11 2020-12-11 Power transmission and transformation project cost module division rationality assessment method

Publications (1)

Publication Number Publication Date
CN112613710A true CN112613710A (en) 2021-04-06

Family

ID=75239328

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011479648.3A Pending CN112613710A (en) 2020-12-11 2020-12-11 Power transmission and transformation project cost module division rationality assessment method

Country Status (1)

Country Link
CN (1) CN112613710A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113283658A (en) * 2021-06-02 2021-08-20 中国运载火箭技术研究院 Multi-index evaluation method for field replaceable unit division of complex equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113283658A (en) * 2021-06-02 2021-08-20 中国运载火箭技术研究院 Multi-index evaluation method for field replaceable unit division of complex equipment

Similar Documents

Publication Publication Date Title
CN107734512B (en) Network selection method based on gray level correlation hierarchical analysis
CN110020815A (en) A kind of comprehensive vulnerability inder calculation method of the grid nodes based on analytic network process
CN104376413A (en) Power grid planning scheme evaluation system based on analytic hierarchy process and data envelopment analysis
CN112308427B (en) New energy consumption constraint factor evaluation method and system based on combined weighting-ash correlation
CN110795692A (en) Active power distribution network operation state evaluation method
CN103632203A (en) Distribution network power supply area division method based on comprehensive evaluation
CN104318482A (en) Comprehensive assessment system and method of smart distribution network
CN104331773A (en) Comprehensive assessment method for power network planning schemes
CN104837184A (en) Heterogeneous wireless network selection method based on interval triangular fuzzy number
Liang et al. Comparison of different multicriteria decision-making methodologies for sustainability decision making
CN111160732A (en) Method suitable for comprehensive evaluation of multi-station fusion safety and benefit
CN113112090B (en) Space load prediction method based on principal component analysis of comprehensive mutual informativity
CN109492874B (en) Decision-making method of investment decision-making system of three-layer grading power grid
CN109697566A (en) Electronic product processing technology evaluation system and its evaluation method
CN111898284A (en) Analytic hierarchy process based urban distribution network superconducting cable application scheme comparison and selection method
CN112101736A (en) Micro-grid operation mode evaluation method and device, storage medium and electronic equipment
CN111080041A (en) Comprehensive evaluation method and system for interactivity of power distribution network
CN112329973A (en) Space-time load prediction method based on graph neural network and regional gridding
CN105574632A (en) Method for evaluating comprehensive benefits of AC/DC hybrid urban distribution network
CN108805471A (en) Evaluation method for water resources carrying capacity based on the analysis of hybrid system interactively
Du et al. A hybrid group-making decision framework for regional distribution network outage loss assessment based on fuzzy best-worst and MARCOS methods
CN112613710A (en) Power transmission and transformation project cost module division rationality assessment method
CN111932081A (en) Method and system for evaluating running state of power information system
CN112712271A (en) Power grid meshing evaluation method, system, medium and electronic equipment
CN105224993A (en) A kind of substation planning method optimized power distribution network and run

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination