CN109345090A - A kind of rack evaluation method promoted based on distribution network reliability - Google Patents
A kind of rack evaluation method promoted based on distribution network reliability Download PDFInfo
- Publication number
- CN109345090A CN109345090A CN201811080119.9A CN201811080119A CN109345090A CN 109345090 A CN109345090 A CN 109345090A CN 201811080119 A CN201811080119 A CN 201811080119A CN 109345090 A CN109345090 A CN 109345090A
- Authority
- CN
- China
- Prior art keywords
- index
- evaluation
- rack
- weight
- score
- 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
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 claims abstract description 19
- 238000005457 optimization Methods 0.000 claims abstract description 7
- 238000011835 investigation Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 4
- 238000013507 mapping Methods 0.000 claims description 4
- 238000012913 prioritisation Methods 0.000 claims description 4
- 230000035899 viability Effects 0.000 claims description 3
- 238000013439 planning Methods 0.000 abstract description 11
- 238000013461 design Methods 0.000 abstract description 8
- 230000000694 effects Effects 0.000 abstract description 6
- 230000009466 transformation Effects 0.000 abstract description 4
- 230000002776 aggregation Effects 0.000 abstract description 3
- 238000004220 aggregation Methods 0.000 abstract description 3
- 238000004451 qualitative analysis Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
- 230000008569 process Effects 0.000 abstract description 2
- 239000013598 vector Substances 0.000 description 11
- 238000010276 construction Methods 0.000 description 7
- 230000005611 electricity Effects 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 238000013139 quantization Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
A kind of rack evaluation method promoted based on distribution network reliability, contains following five steps: the one, particular content of index systems clearly at different levels;Two, the subordinating degree function based on single-point fuzzy evaluation establishes standards of grading;Three, weight distribution is carried out to indexs at different levels;Four, overall merit is carried out to weight using the method based on moments estimation theoretical optimization built-up pattern;Five, the bottom-up comprehensive score that entire evaluation object is calculated.The invention patent can evaluate each index according in several feasible programs in the planning and transformation process of 110kV Net Frame of Electric Network, then carry out technology and economy comparison to it, final to generate evaluation result to choose an optimal case.The present invention can quantify a variety of the qualitative analysis, more accurately provide the level of aggregation of kinds of schemes, and evaluation result is more accurate, have important directiveness to the planning, design, retrofit work of 110kV Net Frame of Electric Network and according to property effect.
Description
Technical field
The present invention relates to the evaluation fields of Net Frame of Electric Network, more particularly to the rack evaluation side promoted based on distribution network reliability
Method.
Background technique
In recent years, the research and construction upsurge of smart grid have been started in global range.Important composition portion as power grid
Point, the planning of 110kV Net Frame of Electric Network, design, retrofit work it is of great significance to.Carry out the evaluation of 110kV Net Frame of Electric Network
The research work that index system is established can be mentioned by establishing reasonable assessment indicator system for the planning of 110kV Net Frame of Electric Network
For working foundation, while according to hereby it is possible to being diagnosed to existing 110kV Net Frame of Electric Network, test to planning and designing effect,
Strong foundation is provided for its transformation.
The evaluation of 110kV Net Frame of Electric Network belongs to more attribute challenges, general objective is usually decomposed into multi -index, then obtain
The weight coefficient of indexs at different levels, but most researchs do not consider that weight needs subjective and objective combination, therefore to the accuracy of evaluation result
Cause influence.Meanwhile the reasonability of index is also to be improved.
Summary of the invention
The present invention in view of the above problems, provide it is a kind of in the planning and transformation process of 110kV Net Frame of Electric Network, it is right first
Each index is evaluated, and then carries out technology and economy comparison to each scheme, final to generate evaluation result to choose one most
Excellent scheme.By quantifying a variety of the qualitative analysis, more accurately provide the level of aggregation of kinds of schemes, evaluation result more subject to
Really, there is important directiveness and according to property effect based on distribution to the planning, design, retrofit work of 110kV Net Frame of Electric Network
The rack evaluation method that net reliability is promoted.
The present invention uses following technical scheme to solve above-mentioned technical problem:
The following steps are included:
1) index systems clearly at different levels;
2) according to above-mentioned steps 1) in Index Content, subordinating degree function based on single-point fuzzy evaluation establishes scoring mark
It is quasi-;
3) to above-mentioned steps 1) in indices carry out weight distribution;
4) to above-mentioned steps 3) in allocation result, using the method based on moments estimation theoretical optimization built-up pattern to power
Overall merit is carried out again;
5) be directed to above-mentioned steps 1) in index, be based on above-mentioned steps 2) carry out score and combine above-mentioned steps 4) in obtain
Weight carry out the comprehensive score that entire evaluation object is calculated bottom-uply.
Index Content in step 1) includes four first class index: technical index, safety indexes, economic index and
Feasibility criterion;
Wherein, technical index includes two two-level index of mainboard load factor and line load rate;
Safety indexes include " N-1 " percent of pass, common-tower double-return line " N-2 " loss load, whether reach rack, short circuit electricity
Flow four two-level index;
Economic index includes one two-level index of annual cost;
Feasibility criterion include interval abundant intensity, whether cross-line and three site, path viability two-level index.
Step 2) reflects by certain fuzzy quality of investigation object or is subordinate to the journey of some fuzzy concept using subordinating degree function
Degree, establishes a mapping on from domain to [1,5].
Step 4) uses the integrated evaluating method based on moments estimation theoretical optimization built-up pattern, by subjective and Objective Weight
Method combines, and reaches subjective and objective unification, completes the distribution of weight.
Step 5) illustrates the integral status for assessing object on the basis of completing each bottom index and calculating, successively upward meter
It calculates, until obtaining the comprehensive score for entirely assessing object, comprehensive score calculation method are as follows:
In formula, Aj m+1Certain index X in m+1 layers in expression structurej m+1Score, n indicate index Xm+1Next layer (m layers)
Index number, Ai mIndicate Xj m+1M layers of subordinate of i-th of index Xi mScore, Wi mThen indicate index Xi mWeighted value.
Calculate comprehensive score value range be 1 point~5 points, the higher prioritization scheme of score value is better.
The invention adopts the above technical scheme compared with prior art, has following technical effect that
The evaluation of 110kV Net Frame of Electric Network belongs to more attribute challenges, and general objective is decomposed into multi -index, index by the present invention
Choosing has significant scientific, comprehensive, representative, practicability feature;The weight coefficient of indexs at different levels is obtained again, but most
The prior art does not consider that weight needs subjective and objective combination, therefore causes influence to the accuracy of evaluation result, the present invention in order to
Not only the subjective preferences of policymaker had been looked after, but also have taken into account the Impersonal authenticity of evaluation, has used and is based on moments estimation theoretical optimization group
The integrated evaluating method of molding type, this method combine subjective and objective weighted model, reach subjective and objective unification, so that
Weight distribution has more reasonability, as a result more acurrate, plays for the planning of 110kV Net Frame of Electric Network, design, retrofit work important
Directiveness and according to property effect.
Detailed description of the invention
Fig. 1 is the flow chart of the rack evaluation method promoted based on distribution network reliability;
Fig. 2 is the schematic diagram of 110kV Net Frame of Electric Network evaluation index structure.
Specific embodiment
Technical solution of the present invention is described in further detail with reference to the accompanying drawing, core of the invention is to be based on matching
The rack evaluation method that electric network reliability is promoted can play important for the planning, design, retrofit work of 110kV Net Frame of Electric Network
Directiveness and according to property act on:
As shown in Figure 1, based on the rack evaluation method that distribution network reliability is promoted, comprising the following specific steps
The particular content of step 1) index systems clearly at different levels.Index Content needs to have scientific, comprehensive, representative
Property, practical principle, constitute an entirety, both can effective evaluation power network planning scheme superiority and inferiority, it can also be used to existing power grid
Evaluation.
It mainly include following 4 first class index: technical as shown in Fig. 2, being 110kV Net Frame of Electric Network evaluation index structure
Index, safety indexes, economic index, feasibility criterion, in which:
(1) technical index, including 2 two-level index of mainboard load factor and line load rate.
The power supply capacity of the technical index major embodiment power grid of power grid, be measure electric network composition whether rationally, power transmission and distribution
The whether matched important indicator of transfer capability.
1. main transformer of transformer substation load factor λTi:
In formula: PTi、STiThe respectively peak load and capacity of transformer i.
2. line load rate λLi:
In formula: PLi、SLiRespectively flow through the maximum effective power flow and capacity of route i.Substation's outlet is pressed when opinion rating
The load factor value of load factor highest route calculates.
(2) safety indexes, including " N-1 " percent of pass, common-tower double-return line " N-2 " lose load, whether reach rack, is short
4 two-level index of road electric current.
Power grid Supply Security index is the amount of property in terms of measuring electric network security with numerical values recited.
" 1. N-1 " percent of pass PN-1:
In formula: nN-1, N be respectively meet " N-1 " the number of lines and route sum.
2. the loss load Δ P1 in the case of common-tower double-return line " N-2 ":
When " N-2 " failure occurs for the route that the index expression common-tower double-return is set up, the value Δ P1 of load loss.
3. whether reaching target net
110kV net should make full use of the resource of existing electric network composition, and adaptation to local conditions is gradually formed because of net suiting measures to different conditions with chain type
Target net based on structure reduces radiation mode power supply.
4. short circuit current
By the analytical calculation to grid short circuit electric current and capacity of short circuit, usually to the calculating of three short circuit current, comment
Reasonability, Substation Bus Arrangement form and reasonability of a Selection of Electrical Equipment of valence Power grid structure etc. are power grid
Limit value short circuit current measure is taken to provide foundation.
(3) economic index, including 1 two-level index of annual cost.
Economic index is by annual cost F_annDescription, it is related with electricity grid network loss and construction cost.Electricity grid network loss
Loss caused by referring to power grid during operation, the main active power loss for considering operation of power networks;Power grid construction cost refers to electricity
Net needs to build substation and route and the cost that generates during construction, reconstruction.
F_ann=F_tot×η+F_op_ann (5)
F_tot=F_T_tot+F_L_tot (6)
F_op_ann=F_con_ann+F_los (8)
F_con_ann=0.042 × F_T_tot+0.022×F_L_tot (9)
F_los=a × W_ann (10)
W_ann=Δ P × t (11)
In formula, F_totFor engineering construction gross investment, F_T_tot、F_L_totRespectively power transformation investment and track investment;η is fund
Recovery coefficient, i are investment yield, by 8% calculate, y be the calculating phase, by 25 years calculate, thus can table look-up η value be 0.146;
F_op_annFor annual operating cost, F_con_ann、F_losRespectively maintenance expense and network loss takes, W_annFor annual electric energy loss, Δ P is most
Power loss when big load, t are loss hourage.
(4) feasibility criterion, including interval abundant intensity, whether 3 cross-line, site path viability two-level index.
Whether the complexity of engineering construction usually requires abundant from access bus interval, if need to across All other routes or
The factors such as railway, high speed, river determine, and consider the feasibility in site and path.
Step 2) is according to above-mentioned steps 1) in Index Content, subordinating degree function based on single-point fuzzy evaluation establishes scoring
Standard.
Step 2) reflects by certain fuzzy quality of investigation object or is subordinate to the journey of some fuzzy concept using subordinating degree function
Degree, establishes a mapping (i.e. 1-5 grades of opinion ratings) on from domain to [1,5].
In this way, the subordinating degree function based on single-point fuzzy evaluation after the specific value of index is calculated, can obtain
The score of index, i.e., a certain index correspond to a determining degree of membership in its subordinating degree function.
The qualitative description of index must be converted into the quantitative data of specification by quantization, and it is base that this, which is by different bottom indexs,
It is determined in different meanings and purpose design.In addition, the data after quantization often have different dimension and the order of magnitude, need
Just it can be compared or integrate after standardization.This converted various initial data to using certain scale system can be used for
The standardization format directly compared is exactly index scoring criteria.
It is fuzzy membership method that the method for formulating index scoring criteria, which uses most commonly used, is reflected using subordinating degree function
By certain fuzzy quality of investigation object or it is subordinate to the degree of some fuzzy concept, that is, establishes one from domain (by investigation object
It is all) to the mapping on [1,5].In Practical Project, subordinating degree function can be generally divided into cost type, profit evaluation model and moderate type three
Class.The scoring criteria of index is practical be exactly the index subordinating degree function.Subordinating degree function is mostly single-point fuzzy evaluation, is being calculated
It after obtaining the specific value of index, directly compares the subordinating degree function of the index, the score of index can be obtained, i.e., a certain index
A determining degree of membership in its corresponding subordinating degree function.Typical rack is divided into 5 grades by the present invention, and grade scale is shown in Table 1.
1 grade scale of table
Step 3) is to above-mentioned steps 1) in indices carry out weight distribution.
Index weights refer to the relative importance degree of every inspection target and its in entirety shared value ratio amount
Change data.The sum of sane level index weights must be equal to 1, and the weight size of sane level index reflects it relative to other index importances
Just, it is generally available vector expression, such as certain layer of weight with n indexs is represented by { X1, X2 ..., Xn }, and X1+X2+ ...
+ Xn=1.When index quantity is few, its weight is usually directly determined by expert;When index quantity is more, expert is difficult to take into account complete
Office, usually determines its weight size in the way of comparing two-by-two at this time.
Step 4) is to above-mentioned steps 3) in allocation result, using the method based on moments estimation theoretical optimization built-up pattern
Overall merit is carried out to weight.
1) the comprehensive weight vector of n evaluation index is set as A.For subjective weight, if entitled quantity tends to be very big
When, by statistical law of great number it is found that the synthesis result of the weight vectors of its judgement should be close to weight vectors A;For objective
Weight has repeatability using the result that different algorithms obtains.Therefore, can be estimated with existing master, objective weight comprehensive
Close weight vectors A.
2) it is equipped with k kind and assigns power method, wherein p kind is subjective weighting method, and k-p kind is objective weighted model.I-th is evaluated
Index constitutes the comprehensive weight a of the evaluation index by k weight samplesi。
The core concept of Combined weighting model is, the corresponding evaluation of estimate vector of right vector with former weight vector is corresponding comments
Deviation between value vector answers as small as possible, the then Optimized model of combining weights are as follows:
In formula, gilResult is weighed to the tax of i-th of index for i-th kind of enabling legislation;aiFor the weight after i-th of indicator combination
Value;Fij is the value arranged by the i-th row of the jdgement matrix F formed after each criterion, jth.
In order to solve ai, to the Construction of A Model LagrangianL (ai, λ) are as follows:
Respectively to ai, λ seeks first-order partial derivative, and enabling it is zero:
Formula (13) is unfolded respectively with i=1,2 ..., n, and forms matrix form are as follows:
In formula:
eT=diag [1,1 ..., 1];AT=diag [a1,
a2,…,an];
Solution matrix equation obtains:
Formula (16) is comprehensive weight vector A=[a obtained by being combined by subjective and objective weight1,a2,…,aj,…,an].It answers
With fuzzy evaluation theory, the subordinated-degree matrix B of overall merit is obtained.B is that m ties up row vector, and m is opinion rating number, bjExpression is commented
The degree of membership of valence result In Grade j.
It is weighted average computation and obtains final comprehensive evaluation result S are as follows:
Each index weights in overall evaluation system are obtained according to above-mentioned integrated evaluating method, are shown in Table 2.
Each index weights of 2 overall evaluation system of table
Step 5) be directed to above-mentioned steps 1) in index, be based on above-mentioned steps 2) carry out score and combine above-mentioned steps 4) in
Obtained weight carries out the comprehensive score that entire evaluation object is calculated bottom-uply.Comprehensive score calculation method are as follows:
In formula, Aj m+1Certain index X in m+1 layers in expression structurej m+1Score, n indicate index Xm+1Next layer (m layers)
Index number, Ai mIndicate Xj m+1M layers of subordinate of i-th of index Xi mScore, Wi mThen indicate index Xi mWeighted value.
According to scoring criteria, calculate comprehensive score value range be 1 point~5 points, the higher prioritization scheme of score value is better.
By taking the Space Truss Design of Yangzhou substation A as an example, refer to for the prioritization scheme calculating overall merit of above-mentioned substation
Mark, evaluates two scheme superiority and inferiority.
The comprehensive score of numerical procedure one and scheme two, as shown in 3~table of table 4.
3 scheme of table, one comprehensive score
4 scheme of table, two comprehensive score
By the above results it can be found that one comprehensive score of substation's A scheme is higher than scheme two, scheme one is better than scheme two.
The present invention can quantify a variety of the qualitative analysis, more accurately provide the level of aggregation of kinds of schemes, evaluation knot
Fruit is more accurate, provides important directiveness and according to property effect for the planning, design, retrofit work of 110kV Net Frame of Electric Network.
Claims (5)
1. a kind of rack evaluation method promoted based on distribution network reliability, which comprises the following steps:
1) index systems clearly at different levels;
2) according to above-mentioned steps 1) in Index Content, the subordinating degree function based on single-point fuzzy evaluation establishes standards of grading;
3) to above-mentioned steps 1) in indices carry out weight distribution;
4) to above-mentioned steps 3) in allocation result, using the method based on moments estimation theoretical optimization built-up pattern to weight into
Row overall merit;
5) be directed to above-mentioned steps 1) in index, be based on above-mentioned steps 2) carry out score and combine above-mentioned steps 4) obtained in weigh
Weight carries out the comprehensive score that entire evaluation object is calculated bottom-uply.
2. a kind of rack evaluation method promoted based on distribution network reliability according to claim 1, it is characterised in that: step
It is rapid 1) in Index Content include four first class index: technical index, safety indexes, economic index and feasibility refer to
Mark;
Wherein, technical index includes two two-level index of mainboard load factor and line load rate;
Safety indexes include " N-1 " percent of pass, common-tower double-return line " N-2 " loss load, whether reach rack, short circuit current four
A two-level index;
Economic index includes one two-level index of annual cost;
Feasibility criterion include interval abundant intensity, whether cross-line and three site, path viability two-level index.
3. a kind of rack evaluation method promoted based on distribution network reliability according to claim 1, it is characterised in that: step
The rapid degree for 2) reflecting by certain fuzzy quality of investigation object or being subordinate to some fuzzy concept using subordinating degree function, establishes one
Mapping on from domain to [1,5].
4. a kind of rack evaluation method promoted based on distribution network reliability according to claim 1, it is characterised in that: step
It is rapid 4) to use the integrated evaluating method based on moments estimation theoretical optimization built-up pattern, subjective and objective weighted model is combined,
Reach subjective and objective unification, completes the distribution of weight.
5. a kind of rack evaluation method promoted based on distribution network reliability according to claim 1, it is characterised in that: step
The rapid integral status for 5) illustrating to assess object on the basis of completing each bottom index and calculating, successively calculates, upwards until obtaining
The comprehensive score of entire assessment object, comprehensive score calculation method are as follows:
In formula, Aj m+1Certain index X in m+1 layers in expression structurej m+1Score, n indicate index Xm+1Next layer (m layers) index
Number, Ai mIndicate Xj m+1M layers of subordinate of i-th of index Xi mScore, Wi mThen indicate index Xi mWeighted value.
Calculate comprehensive score value range be 1 point~5 points, the higher prioritization scheme of score value is better.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811080119.9A CN109345090A (en) | 2018-09-17 | 2018-09-17 | A kind of rack evaluation method promoted based on distribution network reliability |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811080119.9A CN109345090A (en) | 2018-09-17 | 2018-09-17 | A kind of rack evaluation method promoted based on distribution network reliability |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109345090A true CN109345090A (en) | 2019-02-15 |
Family
ID=65305194
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201811080119.9A Pending CN109345090A (en) | 2018-09-17 | 2018-09-17 | A kind of rack evaluation method promoted based on distribution network reliability |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109345090A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111080131A (en) * | 2019-12-18 | 2020-04-28 | 东北电力大学 | Rural power grid transformation method based on cascade combination scoring |
CN111695781A (en) * | 2020-05-19 | 2020-09-22 | 国网新疆电力有限公司 | Method for selecting gears of tap of ultrahigh-voltage main transformer of chain-type power grid |
CN112766640A (en) * | 2020-12-29 | 2021-05-07 | 国网浙江省电力有限公司宁波供电公司 | Full-voltage-grade target grid optimization evaluation method |
CN113988442A (en) * | 2021-11-03 | 2022-01-28 | 国网河北省电力有限公司经济技术研究院 | Optimization method, device, terminal and storage medium for receiving-end power grid architecture |
CN114662859A (en) * | 2022-02-28 | 2022-06-24 | 云南电网有限责任公司 | Method for evaluating reliability index improvement effect of grid structure on power distribution network |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104008302A (en) * | 2014-06-09 | 2014-08-27 | 上海电力学院 | Power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring |
CN104123680A (en) * | 2014-07-16 | 2014-10-29 | 贵州电力试验研究院 | Post-evaluation method for comprehensively evaluating power grid science and technology projects |
CN105279608A (en) * | 2015-10-22 | 2016-01-27 | 国家电网公司 | Order relation method-entropy weight method-based county power grid evaluation method |
CN106651656A (en) * | 2016-12-28 | 2017-05-10 | 国网江西省电力公司经济技术研究院 | Power supply reliability fuzzy comprehensive evaluation method based on improved membership degree function |
-
2018
- 2018-09-17 CN CN201811080119.9A patent/CN109345090A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104008302A (en) * | 2014-06-09 | 2014-08-27 | 上海电力学院 | Power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring |
CN104123680A (en) * | 2014-07-16 | 2014-10-29 | 贵州电力试验研究院 | Post-evaluation method for comprehensively evaluating power grid science and technology projects |
CN105279608A (en) * | 2015-10-22 | 2016-01-27 | 国家电网公司 | Order relation method-entropy weight method-based county power grid evaluation method |
CN106651656A (en) * | 2016-12-28 | 2017-05-10 | 国网江西省电力公司经济技术研究院 | Power supply reliability fuzzy comprehensive evaluation method based on improved membership degree function |
Non-Patent Citations (2)
Title |
---|
孙岩: ""配电网综合评价方法及应用"", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
陈宏伟 等: ""采用矩估计法的电网网架结构综合评价模型"", 《电力与能源》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111080131A (en) * | 2019-12-18 | 2020-04-28 | 东北电力大学 | Rural power grid transformation method based on cascade combination scoring |
CN111080131B (en) * | 2019-12-18 | 2022-06-28 | 东北电力大学 | Rural power grid transformation method based on cascade combination scoring |
CN111695781A (en) * | 2020-05-19 | 2020-09-22 | 国网新疆电力有限公司 | Method for selecting gears of tap of ultrahigh-voltage main transformer of chain-type power grid |
CN112766640A (en) * | 2020-12-29 | 2021-05-07 | 国网浙江省电力有限公司宁波供电公司 | Full-voltage-grade target grid optimization evaluation method |
CN113988442A (en) * | 2021-11-03 | 2022-01-28 | 国网河北省电力有限公司经济技术研究院 | Optimization method, device, terminal and storage medium for receiving-end power grid architecture |
CN114662859A (en) * | 2022-02-28 | 2022-06-24 | 云南电网有限责任公司 | Method for evaluating reliability index improvement effect of grid structure on power distribution network |
CN114662859B (en) * | 2022-02-28 | 2024-05-24 | 云南电网有限责任公司 | Evaluation method for improving effect of grid structure on reliability index of power distribution network |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109345090A (en) | A kind of rack evaluation method promoted based on distribution network reliability | |
CN107563680B (en) | Power distribution network reliability assessment method based on AHP and entropy weight method | |
CN108428045A (en) | A kind of distribution network operation health state evaluation method | |
CN104951866B (en) | Line loss comprehensive management benchmarking evaluation system and method for county-level power supply enterprise | |
CN103761690B (en) | Appraisal procedure based on voltage powerless control system in network system | |
CN113609649B (en) | Method for constructing medium-voltage line planning model of power distribution network based on opportunity constraint | |
CN109359837A (en) | A kind of assessment of active distribution network technical economic benefit and investment decision method | |
CN108985602B (en) | Power grid classification project input and output evaluation method and system considering risks | |
CN110110977A (en) | It is a kind of based on improve principal component-step analysis power distribution network appraisal procedure | |
CN102063657A (en) | Operating level and power supplying capability evaluation method for urban electric distribution network | |
CN111260198A (en) | Method and system for judging degree of rationality of line loss in transformer area synchronization and terminal equipment | |
CN104331773A (en) | Comprehensive assessment method for power network planning schemes | |
Qi et al. | A fuzzy comprehensive evaluation and entropy weight decision-making based method for power network structure assessment | |
CN111695718A (en) | Power grid development aid decision-making method considering investment demand and planning target | |
CN107358338A (en) | A kind of multi-service and the D5000 system healths degree layering evaluation of priorities method of hardware fusion | |
CN106251042A (en) | A kind of method that distribution transformer is carried out health state evaluation | |
CN109685296A (en) | The power information acquisition system fuzzy synthetic appraisement method of meter and historic state | |
CN107437135A (en) | A kind of novel energy-storing selection method | |
CN110826228A (en) | Regional power grid operation quality limit evaluation method | |
CN111008870A (en) | Regional logistics demand prediction method based on PCA-BP neural network model | |
CN105574632A (en) | Method for evaluating comprehensive benefits of AC/DC hybrid urban distribution network | |
CN109492874A (en) | A kind of decision-making technique of three levels power distribution network investment decision system | |
CN110533291B (en) | Medium voltage distribution network weak link identification method based on risk assessment | |
CN106096779A (en) | A kind of power transmission and distribution cost analysis, risk evaluation model and risk structure optimization method | |
CN112734274A (en) | Mining and comprehensive evaluation method for low-carbon power grid operation leading influence factors |
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 |
Application publication date: 20190215 |
|
RJ01 | Rejection of invention patent application after publication |