CN109034595A - One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for - Google Patents

One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for Download PDF

Info

Publication number
CN109034595A
CN109034595A CN201810796977.7A CN201810796977A CN109034595A CN 109034595 A CN109034595 A CN 109034595A CN 201810796977 A CN201810796977 A CN 201810796977A CN 109034595 A CN109034595 A CN 109034595A
Authority
CN
China
Prior art keywords
index
investment
distribution network
power distribution
following power
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
CN201810796977.7A
Other languages
Chinese (zh)
Inventor
施险峰
陈明华
高劲松
雷宇
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.)
Hubei State Grid Huazhong Science And Technology Development Co Ltd
Original Assignee
Hubei State Grid Huazhong Science And Technology Development 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 Hubei State Grid Huazhong Science And Technology Development Co Ltd filed Critical Hubei State Grid Huazhong Science And Technology Development Co Ltd
Priority to CN201810796977.7A priority Critical patent/CN109034595A/en
Publication of CN109034595A publication Critical patent/CN109034595A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Educational Administration (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses one kind to be suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for, including establishes index system;It determines index weights and determines index standards of grading;Method is as follows: step 1: establishing index system: using Balanced scorecard as the Investment Allocation model framework of theoretical direction;Step 2: index weights are determined: is determined by the index weights of theoretical direction of analytic hierarchy process (AHP);Step 3: determine index standards of grading: with the normalization scoring that deviation standardized method is guidance: Investment Allocation model is chosen multi objective and is measured to distribution project investment ratio, index is according to the property of business feature, including positive correlation and negative correlation, same property index needs to carry out different guiding and evaluation criterion according to business or management.

Description

One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for
Technical field
The invention belongs to electric grid investment technical fields, and in particular to one kind is suitable for 10kV and the investment quantization of following power distribution network Analysis decision Method and kit for.
Background technique
Tie of the power distribution network as connection terminal user and hair, transmission system is to guarantee that the reliable electricity consumption of user security must not The link that can lack.Country increases distribution network construction investment in recent years, and it is obvious that scale of investment increases expansion.Each province is in face of annual huge Total plate is invested in distribution, how science, quickly, accurately by Investment Allocation to prefectures and cities, districts and cities are assigned to each district, preferably Meet local economic development needs, constructs the whole province's (city) relative equilibrium and perfect distribution grid structure, become current power distribution network One of investment decision field urgent problem to be solved.
For a long time, distribution Investment Allocation not can reflect and match often only using simple indicators such as increments of powering as reference The reasonability of electric grid investment distribution.In addition it is inadequate according to objectivity, inevitably by influencing factors such as tixed thinking, emotional relationships, " certainly The contradiction of plan person's difficulty sanction, allotee's disobedience " is very prominent.Therefore the auxiliary distribution Investment Allocation for needing a set of comprehensive and reasonable is determined The accurate capitalized method and tool of plan.
Summary of the invention
The purpose of the present invention is to provide one kind be suitable for 10kV and following power distribution network investment quantization analysis decision method and Tool, with solve it is mentioned above in the background art for a long time, distribution Investment Allocation is often only simply referred to increment of powering etc. It is denoted as not can reflect the reasonability of power distribution network Investment Allocation for reference.In addition it is inadequate according to objectivity, inevitably thought by set The influencing factors such as dimension, emotional relationship, the contradiction very distinct issues of " policymaker's difficulty is cut out, and allotee refuses to obey ".
To achieve the above object, the invention provides the following technical scheme: a kind of be suitable for 10kV and the investment of following power distribution network Quantitative analysis decision-making technique and tool, including establish index system;It determines index weights and determines index standards of grading.
Method is as follows:
Step 1: index system is established: using Balanced scorecard as the Investment Allocation model framework of theoretical direction: with distribution spy Property analytic induction determine distribution Investment Allocation factor, summarize prefectures and cities office asset size, manage numerical value, local economic development state The effect factor of predictive factors expected from gesture, load and investment results, will affect factor conversion be taken into index carry out quantization examine Amount chooses the typical evaluation index of profession according to business feature and is designed selection, cause and effect supporting relation between analysis indexes, with balance The theory and method of scorecard are guidance, carry out model construction with " shareholder value, customer service, internal operation " three dimensions.
Step 2: index weights are determined: using analytic hierarchy process (AHP) as theoretical direction index weights determine: with step 1 according to Each factor is lined up several levels by membership, is established the relationship between adjacent two layers each element, is compared two-by-two, is obtained opposite Importance constructs Analytic Hierarchy Process Model and multilevel iudge matrix, carry out weight calculation according to marking result, and for being distributed Weight carries out receipts money, measuring and calculating, then the reasonable weight that measuring and calculating obtains is put into model, in this, as final result.Weight can It is adjusted according to the actual conditions of constituent parts.
Step 3: index standards of grading are determined: with the normalization scoring that deviation standardized method is guidance: Investment Allocation mould Type is chosen multi objective and is measured to distribution project investment ratio, and index is according to the property of business feature, including is positively correlated and bears Correlation, same property index need to carry out different guiding and evaluation criterion according to business or management, by current criteria property and Substantially methods of marking is qualitative is classified as 6 kinds of 3 class, as shown in the table:
This model is that scoring is normalized in guidance with deviation standardized method etc. according to the sort feature of index.
Further, for the index having in the step 3 without bound, bigger (or smaller) is better;Some indexs are with certain mesh Scale value is boundary, is encouraged more preferable;Some indexs are onlyed demand up to standard using certain target value as boundary.
Further, invite several industry specialists Step 1: two, three index carries out differentiation marking in the step 2 And calculate weight.
Further, the index computation unit of the selection needs different finger target values carrying out nondimensionalization because of difference, I.e. by indices data normalization, index score is converted to be measured.
Further, the scoring formula are as follows: specific investment cost allocation proportion=unit total score/∑ unit total score * 100%.
Compared with prior art, the beneficial effects of the present invention are:
1. objectivity is strong: formulating model according to company management and distribution business feature, carry out quantization according to objective fact and comment Valence.
2. scientific high: the design of model is guidance with corresponding theoretical method, the logical relation carry out section according to index Reasonable design is learned, can reflect status, balanced capacity and demand, can also measure investment results, and then improve investment decision It is scientific.
3. flexibility is good: model has perfect parameter definition and configuration feature, can flexibly accept planning strategy, can basis Strategical planning direction, specific investment tactics carry out configuration adjustment, to meet the needs of investment tactics realization.
4. adaptive surface is wide: model can be suitably used for province and district two-stage, and the distribution investment decision on ground, county's two-stage is using needs, in length and breadth It is connected to accessible.
Detailed description of the invention
Fig. 1 is a kind of implementation suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for of the present invention Flow diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for, including establishes index body System;It determines index weights and determines index standards of grading.
Method is as follows:
Step 1: index system is established: using Balanced scorecard as the Investment Allocation model framework of theoretical direction: with distribution spy Property analytic induction determine distribution Investment Allocation factor, summarize prefectures and cities office asset size, manage numerical value, local economic development state The effect factor of predictive factors expected from gesture, load and investment results, will affect factor conversion be taken into index carry out quantization examine Amount chooses the typical evaluation index of profession according to business feature and is designed selection, cause and effect supporting relation between analysis indexes, with balance The theory and method of scorecard are guidance, carry out model construction with " shareholder value, customer service, internal operation " three dimensions.
Step 2: index weights are determined: using analytic hierarchy process (AHP) as theoretical direction index weights determine: with step 1 according to Each factor is lined up several levels by membership, is established the relationship between adjacent two layers each element, is compared two-by-two, is obtained opposite Importance constructs Analytic Hierarchy Process Model and multilevel iudge matrix, carry out weight calculation according to marking result, and for being distributed Weight carries out receipts money, measuring and calculating, then the reasonable weight that measuring and calculating obtains is put into model, in this, as final result.Weight can It is adjusted according to the actual conditions of constituent parts.
Step 3: index standards of grading are determined: with the normalization scoring that deviation standardized method is guidance: Investment Allocation mould Type is chosen multi objective and is measured to distribution project investment ratio, and index is according to the property of business feature, including is positively correlated and bears Correlation, same property index need to carry out different guiding and evaluation criterion according to business or management, by current criteria property and Substantially methods of marking is qualitative is classified as 6 kinds of 3 class, as shown in the table:
This model is that scoring is normalized in guidance with deviation standardized method etc. according to the sort feature of index.
Wherein, for the index having in the step 3 without bound, bigger (or smaller) is better;Some indexs are with certain target value For boundary, encourage more preferable;Some indexs are onlyed demand up to standard using certain target value as boundary.
Wherein, invited in the step 2 several industry specialists by Step 1: two, three index carry out differentiate marking and in terms of Calculate weight.
Wherein, the index computation unit of the selection needs different finger target values carrying out nondimensionalization because of difference, i.e., will Indices data normalization is converted to index score to be measured.
Wherein, the scoring formula are as follows: specific investment cost allocation proportion=unit total score/∑ unit total score * 100%.
Embodiment
Investment Allocation model instance:
1, Investment Allocation model (front end scoring)
By constituent parts indices value, score by the normalization calculation formula of the index.The sum of each index scoring is i.e. For the unit total score: specific investment cost allocation proportion=unit total score/∑ unit total score * 100%:
Investment Allocation model instance:
2, Investment Allocation model (hind computation)
According to 6 kinds of 3 class of index properties point.Evaluate class: positive evaluation/negative evaluation;Target class: positive goal/negative target;Control Class: positive control/negative control.Every class index is carried out according to its characteristic without guiding principle quantization (normalization) scoring, specific classification and scoring Formula is as follows:
3, Investment Allocation submodel-project investment demand comprehensive grade model
Individually building project investment demand comprehensive score submodel relatively objectively comments constituent parts investment demand progress comprehensively Valence.
4, Investment Allocation submodel-deposit project cluster comprehensive grade model
Individually building deposit project cluster comprehensive score submodel, to the compliance and investment tactics of constituent parts deposit project Matching etc. objectively evaluated.
The purpose of the present invention is to provide a kind of method for quantitatively evaluating tool towards extensive distribution Investment Allocation, the works Tool chooses the index of the energy objective status of Comprehensive Evaluation, according to itself ability and development need, balances " inside and outside, far and near, industry wealth ", It hands off, reasonable distribution of the capital fund between each districts and cities' power supply unit is realized in rapid qualitative scoring, is promoted each The orderly planning and construction of local distribution network project, promote returns of investment.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding And modification, the scope of the present invention is defined by the appended.

Claims (5)

1. one kind be suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for, including establish index system, It determines index weights and determines index standards of grading.
Method is as follows:
Step 1: index system is established: using Balanced scorecard as the Investment Allocation model framework of theoretical direction: with distribution characteristic point Analysis conclude determine distribution Investment Allocation factor, summarize prefectures and cities office asset size, manage numerical value, local economic development situation, The effect factor of predictive factors and investment results expected from load, will affect factor conversion be taken into index carry out quantization consider, The typical evaluation index of profession, which is chosen, according to business feature is designed selection, cause and effect supporting relation between analysis indexes, with equilbristat Divide the theory of card and method is guidance, carries out model constructions with " shareholder value, customer service, inside are runed " three dimensions.
Step 2: index weights are determined: is determined by the index weights of theoretical direction of analytic hierarchy process (AHP): with step 1 according to being subordinate to Each factor is lined up several levels by relationship, is established the relationship between adjacent two layers each element, is compared two-by-two, is obtained opposite important Property, Analytic Hierarchy Process Model and multilevel iudge matrix are constructed, carries out weight calculation according to marking result, and is directed to distributed power Weight carries out receipts money, measuring and calculating, then the reasonable weight that measuring and calculating obtains is put into model, in this, as final result.Weight can root It is adjusted according to the actual conditions of constituent parts.
Step 3: index standards of grading are determined: with the normalization scoring that deviation standardized method is guidance: the choosing of Investment Allocation model Multi objective is taken to measure distribution project investment ratio, index is according to the property of business feature, including is positively correlated and negatively correlated, Same property index need to carry out different guiding and evaluation criterion according to business or management, comment by current criteria property and substantially Point method is qualitative is classified as 6 kinds of 3 class, as shown in the table:
This model is that scoring is normalized in guidance with deviation standardized method etc. according to the sort feature of index.
2. a kind of invest suitable for 10kV and following power distribution network according to claim 1 quantifies analysis decision method and work Tool, it is characterised in that: for the index having in the step 3 without bound, bigger (or smaller) is better;Some indexs are with certain target Value is boundary, is encouraged more preferable;Some indexs are onlyed demand up to standard using certain target value as boundary.
3. a kind of invest suitable for 10kV and following power distribution network according to claim 1 quantifies analysis decision method and work Tool, it is characterised in that: invite several industry specialists Step 1: two, three index carries out differentiating marking simultaneously in the step 2 Calculate weight.
4. a kind of invest suitable for 10kV and following power distribution network according to claim 1 quantifies analysis decision method and work Tool, it is characterised in that: the index computation unit of the selection needs different finger target values carrying out nondimensionalization, i.e., because of difference By indices data normalization, index score is converted to be measured.
5. a kind of invest suitable for 10kV and following power distribution network according to claim 1 quantifies analysis decision method and work Tool, it is characterised in that: constituent parts scoring formula are as follows: specific investment cost allocation proportion=unit total score/∑ unit total score * 100%.
CN201810796977.7A 2018-07-19 2018-07-19 One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for Pending CN109034595A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810796977.7A CN109034595A (en) 2018-07-19 2018-07-19 One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810796977.7A CN109034595A (en) 2018-07-19 2018-07-19 One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for

Publications (1)

Publication Number Publication Date
CN109034595A true CN109034595A (en) 2018-12-18

Family

ID=64644282

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810796977.7A Pending CN109034595A (en) 2018-07-19 2018-07-19 One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for

Country Status (1)

Country Link
CN (1) CN109034595A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110458472A (en) * 2019-08-20 2019-11-15 广西电网有限责任公司电力科学研究院 A kind of calculation method of Distribution Network Equipment quasi real time Capital operation efficiency
CN110765268A (en) * 2019-10-31 2020-02-07 国网河北省电力有限公司电力科学研究院 Client appeal-based accurate distribution network investment strategy method
CN114529322A (en) * 2021-12-09 2022-05-24 国网江苏省电力有限公司 Provincial power company-oriented investment distribution method and system for power distribution network below 10 kilovolts

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110458472A (en) * 2019-08-20 2019-11-15 广西电网有限责任公司电力科学研究院 A kind of calculation method of Distribution Network Equipment quasi real time Capital operation efficiency
CN110458472B (en) * 2019-08-20 2022-07-22 广西电网有限责任公司电力科学研究院 Method for calculating quasi-real-time asset operation efficiency of power distribution network equipment
CN110765268A (en) * 2019-10-31 2020-02-07 国网河北省电力有限公司电力科学研究院 Client appeal-based accurate distribution network investment strategy method
CN110765268B (en) * 2019-10-31 2022-04-22 国网河北省电力有限公司电力科学研究院 Client appeal-based accurate distribution network investment strategy method
CN114529322A (en) * 2021-12-09 2022-05-24 国网江苏省电力有限公司 Provincial power company-oriented investment distribution method and system for power distribution network below 10 kilovolts

Similar Documents

Publication Publication Date Title
CN105389636A (en) Low-voltage area KFCM-SVR reasonable line loss prediction method
CN102930482A (en) Investment effect evaluation method for county power distribution networks
CN107871214A (en) Method for establishing comprehensive evaluation index system of multi-energy complementary energy supply system
CN110111024A (en) Scientific and technological achievement market value evaluation method based on AHP fuzzy comprehensive evaluation model
CN111695718A (en) Power grid development aid decision-making method considering investment demand and planning target
CN109034595A (en) One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for
CN109872061A (en) Power grid infrastructure improvement and promotion decision-making method
CN110490409B (en) DNN-based low-voltage transformer area line loss rate benchmarking value setting method
CN106530139A (en) Method for calculating the index parameter of grid investment analysis model
CN106228300A (en) A kind of distributed power source operation management system
CN106600131A (en) Power grid investment analysis model evaluation method
CN109816269A (en) A kind of power distribution network project planning method based on power distribution unit comprehensive benefit
CN109003010A (en) Evaluation method for investment benefit of power grid project
CN110309945A (en) Power distribution station project optimizing evaluation method based on G1- entropy assessment
CN109784725A (en) Investment decision method and system for power grid project
KR100690088B1 (en) Web-based demand side management evaluation system for analysing cost effect in the electric power industry
CN114219225A (en) Power grid investment benefit evaluation system and evaluation method based on multi-source data
CN110298551A (en) A kind of rating model for market-oriented garden energy synthetic operation degree of urgency
Chun et al. Portfolio model under fractal market based on mean-DCCA
CN109191329A (en) A kind of power consumption influence factor decomposition method based on multilayer LMDI
CN109034458A (en) It is a kind of to guarantee to permit taking in acquired electric grid investment planing method
CN107622362A (en) A kind of evaluation method and device of power distribution network returns of investment
CN109190858A (en) A kind of power network construction project investment policy making period method
CN114091955A (en) New energy consumption early warning analysis method and system based on new energy cloud platform
Song et al. The research of capacity utilization measurement on manufacturing industry in China

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20181218