CN106503919A - A kind of power distribution network evaluation methodology based on power supply zone characteristic - Google Patents
A kind of power distribution network evaluation methodology based on power supply zone characteristic Download PDFInfo
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Abstract
The present invention relates to a kind of power distribution network evaluation methodology based on power supply zone characteristic, its step：Determine power distribution network assessment indicator system, determine the assessment indicator system of 5 first class index and 17 two-level index；Using fuzzy membership method, linear interpolation principle is applied, build the membership function of all kinds of indexs；Evaluation criterion weight is determined using the judgment matrix method of quantitative scoring algorithm；Foundation directly affects matrix, the combined influence matrix being calculated between index, using combined influence matrix optimizing evaluation criterion weight；Abovementioned steps result of calculation is substituted in analytic hierarchy process (AHP) computing formula, power distribution network is obtained and is evaluated final result.The present invention can more accurately provide the comprehensive score level for evaluating sample, and evaluation result is more accurate, can preferably instruct distribution network planning, design decision work.
Description
Technical field
The present invention relates to a kind of power distribution network evaluation methodology, especially with regard to a kind of distribution on-Line review based on power supply zone characteristic
Valency method.
Background technology
Power distribution network is the important ingredient of electrical network, and as history bills due is more, power distribution network development is generally still more stagnant
Afterwards, deepening continuously with the acceleration propulsion of China's urban-rural integration process, particularly building Socialist New, partly
Area's electricity needs growth trend is powerful, is the need for electricity for meeting socio-economic development sustainable growth, and China's power distribution network is in the urgent need to entering
One step is accelerated development.Carry out the research work of power distribution network appraisement system, rational assessment indicator system is set up by guiding, progressively
Accumulation covers the achievement data of power distribution network items business, can provide working foundation for distribution network planning, while referring to according to evaluating
Mark system, diagnoses to power distribution network Current Situation, carries out theory testing to planning implementation effect, can be the construction of power distribution network
Transformation provides strong foundation.
Power distribution network synthesis evaluation belongs to many attribute challenges, generally adopts analytic hierarchy process (AHP) (Analytic
Hierarchy Process, AHP) power distribution network evaluation general objective is decomposed into various level evaluation index, so as to complete to matching somebody with somebody
The overall evaluation of electrical network.In evaluation calculation, the weight coefficient of evaluation index is obtained by research, but do not consider evaluation index it
Between influence each other the impact to index weights, the accuracy of power distribution network evaluation is impacted.Meanwhile, traditional evaluation methodology is not examined
Consider the difference that power distribution network subregion power network development is required, index score reasonability is not enough.
Content of the invention
For the problems referred to above, it is an object of the invention to provide a kind of power distribution network evaluation methodology based on power supply zone characteristic,
The method adopts improved AHP method, it is considered to power supply area feature, and optimizing index score computing formula, using judgment matrix method
Determine the weight coefficient of evaluation index, by influence degree analysis being carried out to any two index, so as to derive weight coefficient
Optimized coefficients, realize science, the rational evaluation to power distribution network development, provide useful guidance for distribution network construction, transformation.
For achieving the above object, the present invention takes technical scheme below：A kind of distribution on-Line review based on power supply zone characteristic
Valency method, it is characterised in that the method is comprised the following steps：1) determine power distribution network assessment indicator system, the power supply matter to power distribution network
Amount, grid structure, operation level, technical equipment and economy and society key element are evaluated, and determine 5 first class index and 17
The assessment indicator system of individual two-level index；2) using fuzzy membership method, linear interpolation principle is applied, builds the person in servitude of all kinds of indexs
Membership fuction；3) evaluation criterion weight is determined using the judgment matrix method of quantitative scoring algorithm；4) set up and directly affect matrix, calculate
To the combined influence matrix between index, using combined influence matrix optimizing evaluation criterion weight；5) by step 2) to step 4)
Result of calculation substitute in analytic hierarchy process (AHP) computing formula and obtain score value, and then obtain power distribution network and evaluate final result；Scoring
Value 90～100/, then distribution network planning, operation conditions are good；Score value 70～80/, then power distribution network present situation feelings
Condition is preferably；Score value 60～70/, then power distribution network present situation situation is general；Score value is less than 60 points, and power distribution network is existing
Shape situation is poor.
Further, the step 2) in, concrete building process is as follows：2.1) according to evaluation index score value size and expectation knot
Evaluation index is divided into positive index, three class of reverse index and intermediary outcomes by the relation of fruit；2.2) according to the comprehensive base of each index
Quasi- value and the classification of index, build the membership function of three class indexs.
Further, the step 2.1) in, three class indexs are as follows：2.1.1) positive index includes rate of qualified voltage, power supply
Reliability, main transformer N-1 percent of pass, circuit N-1 percent of pass, distribution power automation terminal coverage rate, 10kV overhead transmission lines insulation rate,
Current on time and Every household has an ammeter rate in every family；2.1.2) reverse index includes 10kV circuits list radiation ratio, 10kV circuits distribution transforming dress
Connect capacity negative more than 12MVA circuit ratios, weight or the high damage control with changed scale of underloading main transformer ratio, 10kV, comprehensive line loss per unit and unit
Lotus is invested；2.1.3) two-way index includes electrical network ratio of transformer capacity to load.
Further, the step 2.2) in, the membership function of three class indexs is：2.2.1) positive index：Join higher than index
Value lower limit is examined, is got full marks；Otherwise, fraction set in advance is then deducted less than the default value of reference value lower limit often；2.2.2)
Reverse index：Less than the index reference value upper limit, get full marks；Otherwise, often exceed the reference value upper limit default value then deduct pre-
The fraction for first setting；2.2.3) two-way index：In index reference range, get full marks；Otherwise, often deviate reference value
Default value then deducts fraction set in advance.
Further, the step 2.2) in, the comprehensive reference value computing formula of each index is as follows：The comprehensive reference value of index
=index A class reference values × WA+ index B class reference values × WB+ index C class reference values × WC+ index D class reference values × WD, formula
In, WA、WB、WC、WDThe weighing factor of A, B, C, D class index is represented respectively；The reference value of index is index marginal value, i.e., positive
The lower limit of index reference value or the upper limit of reverse index reference value；Two-way index includes high and low two reference values, i.e. reference value
The upper limit and the lower limit of reference value.
Further, the step 3) in, index weights determination process is as follows：3.1) to carrying out two-by-two between each index at the same level
Relatively, its relative importance, Judgement Matricies are judged；3.2) Maximum characteristic root and the characteristic vector of judgment matrix, warp are calculated
The corresponding weight of each index is obtained after consistency check and normalized.
Further, the step 4) in, concrete optimization process is as follows：4.1) that analyzes direct relation between each factor has
Nothing, constructs directed graph, if factor has a direct impact to factor, by factor FiDraw an arrow and point to factor Fj, i.e., if there are
One arrow is from factor FiSet out sensing factor Fj, then factor F is describediTo factor FjHave a direct impact, while marking factor FiRight
Factor FjDirectly affect degree I；4.2) initialization directly affects matrix, represents the direct mutual shadow between each index with matrix
The relation of sound；4.3) the combined influence matrix T=X+X between parameter2+…+Xn=X (1-X)-1=(βij)n×n, and then determine
Coefficient of mutual influence β between each evaluation indexij；XnRepresent that initialized n ranks directly affect matrix；4.4) to each evaluation index
Weighted value carry out normalization process after obtain be worth weight wj, the weight vectors W that Calculation Estimation index influences each other reflecteds,
Weight vectors WsAs weighing factor：
4.5) according to weight and weighing factor is worth, new weight W of each evaluation index is calculatedjs=α wj+(1-α)Ws, 0≤α
≤1.
Further, the step 4.1) in, the degree I of directly affecting is：
Further, the step 4.2) in, if n is rank matrix X=(aij)n×nIf, factor FiTo factor FjThere is direct shadow
Ring, then define aij=l, otherwise aij=0.
Further, the step 5) in, analytic hierarchy process (AHP) computing formula is：
In formula, SkRepresent k levels certain index score values；N represents the number of the corresponding k+1 levels index of the index；Represent
J-th index of k+1 levels is through the score value after nondimensionalization process；Represent the new weight of k+1 j-th index of level.
Due to taking above technical scheme, which has advantages below to the present invention：1st, evaluation object of the present invention is special according to region
Seek peace construction criteria, be divided into 4 class service areas, each index classification reference value is weighted by service area's weight coefficient, meter
The comprehensive reference value for obtaining each index is calculated, evaluation index score value calculates more accurate.2nd, the present invention is based on improved AHP method,
Sample Establishing Hierarchical structure model is evaluated to power distribution network, and cross-impact analysis has been carried out to evaluation index in hierarchical model,
Construct affects the matrix of relation with regard to evaluation index, so as to propose the optimized coefficients of evaluation criterion weight, improves tradition
The computational methods of AHP analytic process general comment values.3rd, power distribution network evaluation belongs to many attribute challenges, using analytic hierarchy process (AHP) by distribution
On-Line review valency general objective is decomposed into various level evaluation index, so as to complete the overall evaluation to project.Inventive technique scheme energy
Enough comprehensive score levels for more accurately providing evaluation sample, evaluation result are more accurate, can preferably instruct distribution network planning, set
The decision-making works such as meter.
Description of the drawings
Fig. 1 is the overall flow schematic diagram of the present invention；
Fig. 2 is to press project urgency assessment indicator system schematic diagram in power distribution network of the invention.
Specific embodiment
The present invention establishes power distribution network assessment indicator system based on improved AHP method principle, it is considered to which power supply zone is special
Point analysiss evaluation index reference value, builds the membership function of all kinds of indexs, it is determined that the calculating of evaluation index nondimensionalization process
Method, the impact relation between assay index propose the computational methods for optimizing weight coefficient, it is achieved that quantitative analyses distribution
Net overall merit.With reference to the accompanying drawings and examples the present invention is described in detail.
As shown in figure 1, the present invention provides a kind of power distribution network evaluation methodology based on power supply zone characteristic, using step analysis
Method builds power distribution network assessment indicator system, the weight coefficient for determining evaluation index using judgment matrix method, and considers evaluation and refer to
The key problem of the influence degree between mark, it is proposed that a kind of method that quantitative analyses power distribution network synthesis evaluate score.Which includes
Following steps：
1) determine power distribution network assessment indicator system
Power distribution network assessment indicator system is to weigh power distribution network state of development comprehensively, by the power supply quality to power distribution network, net
The key elements such as frame structure, operation level, technical equipment and economy and society are evaluated, and are understood power distribution network present situation in depth and are deposited
In problem, the assessment indicator system of 5 first class index and 17 two-level index is determined, as shown in Figure 2.
2) scored according to index and evaluation index species Calculation Estimation index score value：Using fuzzy membership method, apply
Linear interpolation principle, builds the membership function of all kinds of indexs.
2.1) according to the relation of evaluation index score value size and expected result, evaluation index can be divided into positive index, reverse
Three class of index and intermediary outcomes：
2.1.1) positive index expression index value is the bigger the better, including rate of qualified voltage, power supply reliability, main transformer N-1
Percent of pass, circuit N-1 percent of pass, distribution power automation terminal coverage rate, 10kV overhead transmission lines insulation rate, in every family current on time and
Rate that Every household has an ammeter etc..
2.1.2) reverse index expression index value is the smaller the better, matches somebody with somebody including 10kV circuits list radiation ratio, 10kV circuits
Become attaching capacity control with changed scale, comprehensive line loss per unit is damaged more than 12MVA circuit ratios, (light) load main transformer (circuit) ratio of weight, 10kV height
And specific load investment etc..
2.1.3) to be closer to effect in the middle part of interval better for two-way index expression index, including electrical network ratio of transformer capacity to load etc..
2.2) according to comprehensive reference value and the classification of index of each index, the membership function for building three class indexs is as follows：
2.2.1) positive index：Higher than index reference value lower limit, get full marks；Otherwise, often pre- less than reference value lower limit
If numerical value then deducts fraction set in advance.
2.2.2) reverse index：Less than the index reference value upper limit, get full marks；Otherwise, often exceed the pre- of the reference value upper limit
If numerical value then deducts fraction set in advance.
2.2.3) two-way index：In index reference range, get full marks；Otherwise, often deviate the default of reference value
Numerical value (for example, higher than the upper limit or less than lower limit) then deducts fraction set in advance.
3) determine evaluation criterion weight：Different indexs are different to the influence degree of evaluation objective, typically given by weighting
Reflection.I.e. important index gives larger weight, gives less weight with respect to secondary index.
, come agriculture products weight, its process is as follows for judgment matrix method using quantitative scoring algorithm of the invention：
3.1) to being compared between each index at the same level two-by-two, its relative importance, Judgement Matricies are judged；
Assume have n index to participate in comparing, allow each index to carry out respectively common n-1 time comparing two-by-two with other indexs,
I-th index is designated as a with the comparative result of j-th indexij, i-th index itself be designated as a with the comparative result of itselfij(=
1), then the square formation of a n × n, as judgment matrix can be formed.
3.2) Maximum characteristic root and the characteristic vector of judgment matrix is calculated, is obtained after consistency check and normalized
The corresponding weight of each index.
3.2.1 consistency check is carried out to judgment matrix), its process is as follows：
As in evaluation procedure, estimator is not generally possible to accurately provide comparative result aijValue, which can only be estimated
Meter, is therefore not required in Judgement Matricies in principle with crash consistency, that is, is not required for formula aij×ajk=aik
Set up, but judgment matrix is needed with concordance generally, that is, require that random index CR is met with lower inequality about
Beam, otherwise needs the Partial Elements for redefining judgment matrix, till meeting condition.
In formula, RI represents the Aver-age Random Consistency Index of judgment matrix, can table look-up 2 according to the exponent number of judgment matrix
Arrive；CI represents coincident indicator, can be calculated by following formula：
In formula, n represents the exponent number of judgment matrix；λmaxThe Maximum characteristic root of judgment matrix is represented, can pass through to solve following sides
Journey is obtained：
AW=λ W
In formula, A represents judgment matrix；W represents characteristic vector；λ represents Maximum characteristic root.
2 Aver-age Random Consistency Index value of table
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| RI | 0 | 0 | 0.58 | 0.9 | 1.12 | 1.24 | 1.32 | 1.41 | 1.45 | 1.49 | 1.52 | 1.54 |
It should be noted that first order matrix and second-order matrix with crash consistency, RI values are 0, it is not necessary to carry out one
The inspection of cause property.
3.2.2) judgment matrix is after consistency check, to Maximum characteristic root λmaxCorresponding characteristic vector normalization
After process, you can obtain index respective weights.
4) optimizing index weight：In analytic hierarchy process (AHP), for assessment indicator system, there is the pass that influences each other in different indexs
System, need to be optimized to evaluation criterion weight, by analyzing the logical relation between each index, be set up based on influence degree height
Matrix is directly affected, by the combined influence matrix being calculated between index, using combined influence matrix optimizing evaluation index
Weight.
4.1) the presence or absence of direct relation between each factor is analyzed, directed graph is constructed, if factor has a direct impact to factor,
Then by factor FiDraw an arrow and point to factor Fj, i.e., if there are an arrow from factor FiSet out sensing factor Fj, then explanation because
Plain FiTo factor FjHave a direct impact, while marking factor FiTo factor FjDirectly affect degree I, be defined as follows：
4.2) initialization directly affects matrix, represents the relation that directly influences each other between each index with matrix：
If n is rank matrix X=(aij)n×nIf, factor FiTo factor FjHave a direct impact, then define aij=l, otherwise aij=
0.The impact relation that the size of l is reflected between index is strong and weak.
4.3) the combined influence matrix T=X+X between parameter2+…+Xn=X (1-X)-1=(βij)n×n, and then determine
Coefficient of mutual influence β between each evaluation indexij.Wherein, βijThe impact that the presence of index j brings is represented to index i；XnRepresent
Initialized n ranks directly affect matrix.
4.4) obtain being worth weight w after carrying out normalization process to the weighted value of each evaluation indexj, Calculation Estimation index phase
Reflected weight vectors W is mutually affecteds, weight vectors WsAs weighing factor：
4.5) according to weight and weighing factor is worth, new weight W of each evaluation index is calculatedjs.Wjs=α wj+(1-α)Ws, 0
≤ α≤1, preferably α=0.5.
5) by step 2) to step 4) result of calculation substitute in analytic hierarchy process (AHP) computing formula and obtain score value, and then
Final result is evaluated to power distribution network；Take hundred-mark system to be evaluated, score value 90～100/, then distribution network planning, fortune
Row situation is good；Score value 70～80/, then power distribution network present situation situation is preferably；Score value 60～70/, then
Power distribution network present situation situation is general, more problems；Score value is less than 60 points, and power distribution network present situation situation is poor, needs construction retrofit badly
Improve.
Wherein, analytic hierarchy process (AHP) computing formula is：
In formula, SkRepresent k levels certain index score values；N represents the number of the corresponding k+1 levels index of the index；Represent
J-th index of k+1 levels is through the score value after nondimensionalization process；Represent the new weight of k+1 j-th index of level.
Above-mentioned steps 2) 2.2) in, the comprehensive reference value of each index is with reference to power distribution network subregion feature, is referred to according to evaluation
Target evaluates purpose and effect, in conjunction with the weighing factor that practical situation obtains indices, each index classification reference value is led to
Cross service area's weight coefficient to be weighted, be calculated.Wherein, the reference value of index is index marginal value, i.e., positive index ginseng
Examine the lower limit of value or the upper limit of reverse index reference value；Two-way index include high and low two reference values, the i.e. upper limit of reference value and
The lower limit of reference value.
The comprehensive reference value computing formula of index is as follows：
The comprehensive reference value of index=index A class reference value × WA+ index B class reference values × WB+ index C class reference values ×
WC+ index D class reference values × WD, in formula, WA、WB、WC、WDThe weighing factor of A, B, C, D class index is represented respectively.
The determination of each evaluation index reference value has considered prior art standard, program results and available data etc..
According to the principle of differentiation, tetra- class reference standard of A, B, C, D is as shown in the table from high to low to determine each index.
The determination of each evaluation index reference value
In upper table, A class standards are applied to politics exigent to power supply reliability or economic center area, national economy
Development zone or high and new technology industrial park；B class standards are applied to the productive life concentration zones higher to power supply reliability requirement, province
Level economic development zone or industrial park；C class standards are applied to productive life Relatively centralized that power supply reliability is had certain requirements
Area；D class standards are applied to agricultural economy behaviour area.
The various embodiments described above are merely to illustrate the present invention, and the structure of each part, size, set location and shape are all can be with
It is varied from, on the basis of technical solution of the present invention, all improvement individual part carried out according to the principle of the invention and waits
With converting, should not exclude outside protection scope of the present invention.
Claims (10)
1. a kind of power distribution network evaluation methodology based on power supply zone characteristic, it is characterised in that the method is comprised the following steps：
1) determine power distribution network assessment indicator system, to the power supply quality of power distribution network, grid structure, operation level, technical equipment with
And economy and society key element is evaluated, the assessment indicator system of 5 first class index and 17 two-level index is determined；
2) using fuzzy membership method, linear interpolation principle is applied, builds the membership function of all kinds of indexs；
3) evaluation criterion weight is determined using the judgment matrix method of quantitative scoring algorithm；
4) set up and directly affect matrix, the combined influence matrix being calculated between index is commented using combined influence matrix optimizing
Valency index weights；
5) by step 2) to step 4) result of calculation substitute in analytic hierarchy process (AHP) computing formula and obtain score value, and then matched somebody with somebody
Electrical network evaluates final result；Score value 90～100/, then distribution network planning, operation conditions are good；Score value is 70～80
/, then power distribution network present situation situation is preferably；Score value 60～70/, then power distribution network present situation situation is general；Comment
Score value is less than 60 points, and power distribution network present situation situation is poor.
2. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 1, it is characterised in that：The step
Rapid 2) in, concrete building process is as follows：
2.1) according to evaluation index score value size and the relation of expected result, evaluation index is divided into positive index, reverse index
With three class of intermediary outcomes；
2.2) membership function of three class indexs, according to comprehensive reference value and the classification of index of each index, is built.
3. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 2, it is characterised in that：The step
Rapid 2.1) in, three class indexs are as follows：
2.1.1) positive index includes rate of qualified voltage, power supply reliability, main transformer N-1 percent of pass, circuit N-1 percent of pass, distribution
Automatization terminal coverage rate, in every family 10kV overhead transmission lines insulation rate, current on time and Every household has an ammeter rate；
2.1.2) reverse index includes that 10kV circuits list radiation ratio, 10kV circuit distribution transforming attachings capacity are more than 12MVA circuits ratio
Example, weight or the high damage control with changed scale of underloading main transformer ratio, 10kV, comprehensive line loss per unit and specific load investment；
2.1.3) two-way index includes electrical network ratio of transformer capacity to load.
4. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 2, it is characterised in that：The step
Rapid 2.2) in, the membership function of three class indexs is：
2.2.1) positive index：Higher than index reference value lower limit, get full marks；Otherwise, often less than the present count of reference value lower limit
Value then deducts fraction set in advance；
2.2.2) reverse index：Less than the index reference value upper limit, get full marks；Otherwise, often exceed the present count of the reference value upper limit
Value then deducts fraction set in advance；
2.2.3) two-way index：In index reference range, get full marks；Otherwise, often deviate the default value of reference value
Set in advance fraction is then deducted.
5. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 2, it is characterised in that：The step
Rapid 2.2) in, the comprehensive reference value computing formula of each index is as follows：
The comprehensive reference value of index=index A class reference value × WA+ index B class reference values × WB+ index C class reference values × WC+ refer to
Mark D class reference values × WD,
In formula, WA、WB、WC、WDThe weighing factor of A, B, C, D class index is represented respectively；The reference value of index is index marginal value, i.e.,
The lower limit of positive index reference value or the upper limit of reverse index reference value；Two-way index includes high and low two reference values, that is, refer to
The lower limit of the upper limit and reference value of value.
6. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 1, it is characterised in that：The step
Rapid 3) in, index weights determination process is as follows：
3.1) to being compared between each index at the same level two-by-two, its relative importance, Judgement Matricies are judged；
3.2) Maximum characteristic root and the characteristic vector of judgment matrix is calculated, after consistency check and normalized, obtains each
The corresponding weight of index.
7. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 1, it is characterised in that：The step
Rapid 4) in, concrete optimization process is as follows：
4.1) the presence or absence of direct relation between each factor is analyzed, directed graph is constructed, if factor has a direct impact to factor, by
Factor FiDraw an arrow and point to factor Fj, i.e., if there are an arrow from factor FiSet out sensing factor Fj, then factor F is describedi
To factor FjHave a direct impact, while marking factor FiTo factor FjDirectly affect degree I；
4.2) initialization directly affects matrix, represents the relation that directly influences each other between each index with matrix；
4.3) the combined influence matrix T=X+X between parameter2+…+Xn=X (1-X)-1=(βij)n×n, and then determine respectively comment
Coefficient of mutual influence β between valency indexij；XnRepresent that initialized n ranks directly affect matrix；
4.4) obtain being worth weight w after carrying out normalization process to the weighted value of each evaluation indexj, the mutual shadow of Calculation Estimation index
The reflected weight vectors W of sounds, weight vectors WsAs weighing factor：
4.5) according to weight and weighing factor is worth, new weight W of each evaluation index is calculatedjs=α wj+(1-α)Ws, 0≤α≤1.
8. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 7, it is characterised in that：The step
Rapid 4.1) in, the degree I of directly affecting is：
9. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 7, it is characterised in that：The step
Rapid 4.2) in, if n rank matrix X=(aij)n×nIf, factor FiTo factor FjHave a direct impact, then define aij=l, otherwise aij
=0.
10. a kind of power distribution network evaluation methodology based on power supply zone characteristic as claimed in claim 1, it is characterised in that：Described
Step 5) in, analytic hierarchy process (AHP) computing formula is：
In formula, SkRepresent k levels certain index score values；N represents the number of the corresponding k+1 levels index of the index；Represent k+1
J-th index of level is through the score value after nondimensionalization process；Represent the new weight of k+1 j-th index of level.
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| CN107563591A (en) * | 2017-07-31 | 2018-01-09 | 国网江苏省电力公司淮安供电公司 | A kind of regional distribution network based on unit style builds priority computational methods |
| CN109102142A (en) * | 2018-06-15 | 2018-12-28 | 山东鲁能软件技术有限公司 | A kind of personnel evaluation methods and system based on evaluation criterion tree |
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| CN111696003B (en) * | 2020-06-12 | 2021-03-16 | 南京工程学院 | Intelligent identification and early warning method for abnormal period of line loss rate of distribution room under drive of mass data |
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| CN112132416A (en) * | 2020-09-02 | 2020-12-25 | 深圳市勘察研究院有限公司 | PageRank algorithm-based engineering investigation quality refinement evaluation method |
| CN112926816A (en) * | 2020-09-08 | 2021-06-08 | 广东电网有限责任公司 | Supplier evaluation method, supplier evaluation device, computer equipment and storage medium |
| CN112926816B (en) * | 2020-09-08 | 2023-09-22 | 广东电网有限责任公司 | Vendor evaluation method, device, computer device and storage medium |
| CN112101813A (en) * | 2020-09-24 | 2020-12-18 | 贵州电网有限责任公司 | Comprehensive evaluation and sequencing method for testing of distribution automation equipment |
| CN112101813B (en) * | 2020-09-24 | 2023-05-02 | 贵州电网有限责任公司 | Comprehensive evaluation sequencing method for testing of power distribution automation equipment |
| CN112329952A (en) * | 2020-10-15 | 2021-02-05 | 中国第一汽车股份有限公司 | Method for evaluating maintenance convenience of automobile parts |
| CN116362609A (en) * | 2023-03-28 | 2023-06-30 | 国网江苏省电力有限公司经济技术研究院 | Economic and technical evaluation method for big data of power grid engineering |
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