CN107292503A - A kind of rational quantitative evaluating method of intelligent substation cost - Google Patents
A kind of rational quantitative evaluating method of intelligent substation cost Download PDFInfo
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Abstract
The present invention relates to a kind of rational quantitative evaluating method of intelligent substation cost, including step:Step S1. determines the standard cloud of each reasonability grade in evaluation index collection and Comment gathers, generation Comment gathers;Step S2. generates the basic cloud of evaluation index;Step S3. determines that evaluation index concentrates the assessed value of each reasonable evaluation index to the rational weighing factor of comprehensive cost, obtains weight sets;Step S4. calculates comprehensive assessment cloud on the basis of basic cloud and weight sets;Step S5. is calculated and is compared the similarity of comprehensive assessment cloud and each standard cloud, and determines assessment result.The present invention can realize science, quantitative, accurate intelligent substation cost reasonable evaluation, be that policymaker and manager are provided with reference to support.
Description
Technical field
The present invention relates to cost reasonable evaluation technical field, more particularly to a kind of intelligent substation cost are rational fixed
Measure appraisal procedure.
Background technology
In recent years, as Global climate change and energy security problem are persistently paid close attention to by human society, intelligence
The importance of power grid construction becomes increasingly conspicuous.Intelligent substation is the important step for building strong intelligent grid, its investment construction money
Gold also occupies larger specific gravity in power network overall investment.Because intelligent substation has in technical scheme with Generic Substation
Significant difference, its Cost Management is also different from Generic Substation.Improve the managerial skills of intelligent substation cost, carry out cost conjunction
Rational calculation, can be that rational deployment intelligent substation construction scale and construction sequential are provided decision support.
Intelligent substation refers to use advanced, reliable, integrated and environmentally friendly smart machine, with whole station information digitalization, led to
Letter platform network, information sharing are standardized as basic demand, be automatically performed information gathering, measurement, control, protection, measure and
The basic functions such as detection, meanwhile, possess support power network automatically control in real time, Intelligent adjustment, on-line analysis decision-making and collaboration it is interactive
Deng the transformer station of Premium Features.Compared with conventional substation, intelligent substation has that device intelligence, function are integrated and structure is tight
The digitized feature of gathering, Information base.Before the cost and conventional substation of intelligent substation there is also equipment purchasing expense,
Larger difference in terms of debugging cost.
Cost reasonable evaluation is the factor and index for having an impact cost by analysis, fully analyzes and calculates carrying out
On the basis of formed can for assessing, whether reasonable cost is or leading indicator of resonable degree, pass through each index of comprehensive assessment
Score, so that it is determined that the reasonability degree of cost.On the one hand it is used for carrying out intelligent substation Project Cost level overall assurance,
On the other hand reference can be provided for other similar items, and then lift cost Control level, project cost is reduced, it is to avoid resource
Unreasonable waste.Therefore, carry out cost reasonable evaluation to intelligent substation to have important practical significance.
Current existing method mainly includes:From the cost of Cost Management angle analysis intelligent substation and conventional substation
Otherness, from economy and society, environmental benefit of life cycle management angle analysis intelligent substation etc..Intelligent substation is made
The rational evaluation studies of valency are seldom.In appraisal procedure, conventional method includes expert graded, fuzzy overall evaluation at present
Method, analytic hierarchy process (AHP) and Matter element Extension method etc., these methods, which exist, excessively to be relied on expert's subjective judgement or only considers fixed
The ambiguity of property concept and the problem of in terms of have ignored randomness.Therefore, prior art no matter from research object angle or
From the point of view of research method angle, can not all accurate evaluation be carried out to the cost reasonability of intelligent substation, so as to influence intelligent power transformation
The cost regulatory level stood.
The content of the invention
In view of above-mentioned analysis, the present invention is intended to provide a kind of rational quantitative evaluating method of intelligent substation cost,
To solve the problem of prior art can not carry out accurate evaluation to the cost reasonability of intelligent substation.
The purpose of the present invention is mainly achieved through the following technical solutions:
There is provided a kind of rational quantitative evaluating method of intelligent substation cost, including step:
Step S1. determines evaluation index collection and Comment gathers;According to reasonability grade set in advance, by commenting in Comment gathers
Language is divided into each reasonability grade, and generates the standard cloud of each reasonability grade;
Step S2. generates the basic cloud of each evaluation index;
Step S3. determines that evaluation index concentrates the assessed value of each reasonable evaluation index to the rational influence of comprehensive cost
Weight, obtains weight sets;
Step S4. calculates comprehensive assessment cloud on the basis of basic cloud and weight sets;
Step S5. is calculated and is compared the similarity of comprehensive assessment cloud and each standard cloud, and determines assessment result.
Wherein, evaluation index collection includes described in step S1:
Cost formation two first class index of reasonability and Cost Management reasonability;
Quantities, price, Budgetary Estimates clearing deviation ratio, scheduled fun payment deviation ratio, project signature expense account for work
Journey investment percentage, quantities variable expense deviation ratio and auditing for construction completion account are timely completed seven two-level index such as rate.
Specifically, the method for generation standard cloud includes:
Interval where comment i mapping values isUtilize positive normal state cloud generator generation standard cloud SCi=
(Exi,Eni,Hei), wherein,Eni=(Exi-Exi-1)/3。 It is dimensionless number evidence.
Further, as i=1, En1=(Ex2-Ex1)/3, He1=δ;Wherein δ takes 0.01.
In step S2, the basic cloud PC of each evaluation index is calculated respectively using Normal Cloud Generator and backward cloud generatori
=(Exi,Eni,Hei), Ex, En, He represent expectation, entropy and super entropy respectively.
It is preferred that, determine the assessed value of each reasonability index to the rational shadow of comprehensive cost using entropy assessment in step S3
Ring weight.
Further, in step S4 comprehensive assessment cloud computational methods, including:
According to the basic cloud PC of each evaluation indexi=(Exi,Eni,Hei), and corresponding preference entropy weight coefficient, integrated
Cloud TC=(Ex, En, He) is assessed, wherein
It is preferred that, in step S5, the similarity of comprehensive assessment cloud and standard cloud is calculated using euclidean distance method.Calculating phase
During spending, by Ex in comprehensive assessment cloud, En, He weight is designated as equal.
The present invention has the beneficial effect that:
The present invention is realized is applied to intelligent substation by qualitativing concept to the cloud model freely changed between quantitative data
In the rational assessment of cost, and each reasonability index is determined to the rational contribution weight of comprehensive cost using entropy assessment,
And then calculating obtains reasonability comprehensive assessment cloud, finally by its distance with standard cloud is contrasted, making for intelligent substation is obtained
Valency reasonability comprehensive assessment grade, realizes science, quantitative, accurately assessment, is that policymaker and manager are provided with reference to support.
Other features and advantages of the present invention will be illustrated in the following description, also, the partial change from specification
Obtain it is clear that or being understood by implementing the present invention.The purpose of the present invention and other advantages can be by the explanations write
Specifically noted structure is realized and obtained in book, claims and accompanying drawing.
Brief description of the drawings
Accompanying drawing is only used for showing the purpose of specific embodiment, and is not considered as limitation of the present invention, in whole accompanying drawing
In, identical reference symbol represents identical part.
Fig. 1 is the flow chart of the rational quantitative evaluating method of intelligent substation cost;
Fig. 2 is intelligent substation cost reasonable evaluation index system.
Embodiment
The preferred embodiments of the present invention are specifically described below in conjunction with the accompanying drawings, wherein, accompanying drawing constitutes the application part, and
It is used for the principle for explaining the present invention together with embodiments of the present invention.
The specific embodiment of the present invention, discloses a kind of rational quantitative evaluating method of intelligent substation cost.
This method uses the Integrated Evaluation Model based on entropy assessment-cloud model, including following concept:
(1) definition of cloud and numerical characteristic
If U is the quantitative domain that is represented with exact value, C is the qualitativing concept on U, if quantitative value x ∈ U, and x is
A qualitativing concept C Stochastic implementation, x, to C degree of membership u (x) ∈ [0,1], is the random number u with steady tendency, i.e.,:Then distributions of the x on domain U is referred to as cloud, is designated as C (x), and each x is referred to as a cloud
Drip (x, u (x)).
Cloud model includes expecting Ex, entropy EnWith super entropy HeThree numerical characteristics.Wherein expect ExBeing most can generation in domain space
The point of table qualitativing concept, entropy EnIt is the probabilistic comprehensive measurement of qualitativing concept, reflects the abundant of being this or that property of qualitativing concept
Degree;Super entropy HeIt is probabilistic measurement of entropy, reflects the dispersion degree of water dust, super entropy is bigger, the thickness and dispersion of water dust
It is bigger.
(2) cloud generator
Cloud generator is the algorithm for generating water dust, mainly includes Normal Cloud Generator and backward cloud generator.It is positive
Qualitative information in Linguistic Value is mapped to quantitative data area and the regularity of distribution by cloud generator.Due to normal distribution have it is general
Adaptive, therefore normal state cloud generator is a kind of the most frequently used positive generator.Backward cloud generator is by with exact numerical
Sample data is effectively converted to by (Ex,En,Hn) come the qualitative Linguistic Value that shows.It is of the invention main using normal state cloud generator,
The process that it generates requirement water dust is as follows:
A) generation is desired for En, standard deviation is HnNormal random number E 'n;
B) generate one and be desired for Ex, standard deviation is | E 'n| normal random number xi, calculate
C) circulation a), b), stops until generating after n water dust.
(3) entropy assessment
Entropy assessment is a kind of objective enabling legislation, not against the experience of estimator, but the letter included according to each index
The number of breath amount carrys out the weight of agriculture products.The entropy of certain index is smaller, illustrate the desired value degree of variation it is bigger there is provided letter
Breath amount is also more, and the contribution to comprehensive evaluation result is bigger, therefore the weight of the index is also bigger.Entropy assessment calculates step
It is rapid simple, the objective law of achievement data is taken full advantage of, the influence of subjective factor is eliminated.
If the Evaluations matrix being made up of h evaluation of programme, m indexs is:
X=(xij)h×m, i=1,2 ..., h;J=1,2 ..., m
Criterion method is:
In formula, PijFor the achievement data of standardization.Standardization effectively eliminates the incommensurability between index.Respectively comment
The entropy of valency index is:
Especially, P is worked asijWhen=0, P is madeijlnPij=0.wjIt is each index without preference weight.
Weight wjThe information content of index is embodied, entropy weight is bigger, and the contribution for representing the index to overall merit is bigger, directly
Sight effectively reflects the difference degree between index.
The rational quantitative evaluating method of intelligent substation cost disclosed in specific embodiment, as shown in figure 1, specifically including
Step:
Step S1. determines evaluation index collection U={ U1,U2,…,UmAnd Comment gathers V={ V1,V2,…,Vn, according to advance
The reasonability grade of setting, the comment in Comment gathers is divided into each reasonability grade, and generates the standard of each reasonability grade
Cloud;
According to intelligent substation cost reasonability Index Establishment evaluation index collection, as shown in Fig. 2 including:
Cost formation two first class index of reasonability and Cost Management reasonability;
Quantities, price, Budgetary Estimates clearing deviation ratio, scheduled fun payment deviation ratio, project signature expense account for work
Journey investment percentage, quantities variable expense deviation ratio and auditing for construction completion account are timely completed seven two-level index such as rate.
Wherein, cost, which forms rational two-level index, includes quantities and price, and rational two grades of Cost Management refers to
Mark include Budgetary Estimates settle accounts deviation ratio, scheduled fun payment deviation ratio, project signature expense account for construction investment percentage,
Quantities variable expense deviation ratio and auditing for construction completion account are timely completed rate.
According to the criteria for classification of reasonability grade, the comment in Comment gathers is divided into five grades, and generate each reasonability
The standard cloud model of grade, that is, generate five standard cloud models of five grades of correspondence.Five grades distinguish correspondence mappings
To a numerical intervals.
Wherein, the method for the standard cloud model of each reasonability grade of generation is:
Interval where comment i mapping values isOne in five grades of the interval correspondence.Using just
To normal state cloud generator generation standard cloud SCi=(Exi,Eni,Hei), wherein,Eni=(Exi-
Exi-1)/3;As i=1, En1=(Ex2-Ex1)/3;He1=δ.Wherein δ value can by rule of thumb take but should not be excessive, excellent
Choose 0.01.
Wherein,It is dimensionless number evidence.
Step S2. generates the basic cloud of each evaluation index.
Specifically, according to historical data, generating each reasonable evaluation using Normal Cloud Generator and backward cloud generator and referring to
Target expectation, entropy and super entropy, obtain the basic cloud PC of each reasonable evaluation indexi=(Exi,Eni,Hei).Wherein, it is expected that Ex is
The point of qualitativing concept can be most represented in domain space, entropy En is the probabilistic comprehensive measurement of qualitativing concept, reflected qualitative general
Read the nargin of being this or that property;Super entropy He is probabilistic measurement of entropy, reflects the dispersion degree of water dust.
Further, the basic cloud PC of each evaluation index is calculated respectively using Normal Cloud Generator and backward cloud generatori
=(Exi,Eni,Hei) computational methods be:
1) sample average is calculatedSingle order sample Absolute Central MomentSample variance
2)
3)
4)
Wherein, N representative samples number, xiRepresent i-th of sample value.
Step S3. determines that evaluation index concentrates the assessed value of each reasonable evaluation index to the rational influence of comprehensive cost
Weight, obtains weight setsM is the number of index to be assessed.
Because each reasonability index is different for the rational percentage contribution of intelligent substation comprehensive cost, accordingly, it would be desirable to
Determine the weight of each evaluation index.The present embodiment determines that the assessed value of each reasonability index is reasonable to comprehensive cost using entropy assessment
The weighing factor of property.
Further, in the entropy assessment, the entropy of each index is:
In formula, PijFor the achievement data of standardization, h is amount of projects;
Each index unbiased weight wj, its calculation formula is:
Weight wjEmbody the information content of index.
Further, P is worked asijWhen=0, P is madeijlnPij=0.
Step S4. calculates comprehensive assessment cloud, and obtain comprehensive assessment cloud atlas and each on the basis of basic cloud and weight sets
The standard cloud atlas of Comment gathers.
Specifically, the present embodiment is according to positive normal state cloud generator algorithm and combines MATLAB emulation, intelligent power transformation is obtained
The comprehensive assessment cloud atlas for project of standing and the standard cloud atlas of each Comment gathers.
Further, the computational methods of the comprehensive assessment cloud are as follows:
According to the basic cloud PC of each evaluation indexi=(Exi,Eni,Hei), and corresponding preference entropy weight coefficientComprehensive assessment cloud TC=(Ex, En, He) is obtained, wherein the calculation formula of each parameter is:
Step S5. calculates the similarity of comprehensive assessment cloud and each standard cloud respectively, compares Similarity value size, obtains intelligence
The cost reasonability comprehensive assessment grade of transformer station, and then determine assessment result.
Specifically, by Ex in comprehensive assessment cloud, En, He weight is designated as equal, and standard cloud is designated as SCi=(Exi,Eni,
Hei), i=1,2,3 ..., n.In embodiment, 5 standard clouds are generated, 5 reasonability grades are corresponded to respectively;Comprehensive assessment cloud
It is step S4 result, only one of which comprehensive assessment cloud.The similarity of comprehensive assessment cloud and five standard clouds is calculated respectively, can be obtained
To five Similarity Measure results.Similarity is bigger, shows that the similarity degree of comprehensive assessment cloud and the standard cloud is maximum, then integrates
It is the maximum corresponding reasonability grade of standard cloud of similarity to assess the assessment result of cloud.
Further, the similarity λ of comprehensive assessment cloud and standard cloud is calculated using euclidean distance methodi, calculation formula is:
In summary, the embodiments of the invention provide a kind of rational quantitative evaluating method of intelligent substation cost, comment
Estimate method to set up on the basis of to intelligent substation cost reasonability comprehensively analysis, can be commented by reasonability index set with science
Estimate cost reasonability grade.Appraisal procedure use the Integrated Evaluation Model based on entropy assessment-cloud model, to These parameters system with
Relation between intelligent substation cost reasonability is emulated, and effectively combines the ambiguity and randomness of language concept
To analyze, conventional probability opinion and fuzzy mathematics more single defect cognitive to things are overcome, and each can be objectively responded refer to
It is marked on the significance level in index set.In addition, the present invention is calculated, thinking is simple, and calculating process can be realized by software, operation
It is convenient, the requirement to intelligent substation cost reasonable evaluation can be met in maximum possible, to be policymaker and management
Person is provided with reference to support.
It will be understood by those skilled in the art that realizing all or part of flow of above-described embodiment method, meter can be passed through
Calculation machine program instructs the hardware of correlation to complete, and described program can be stored in computer-readable recording medium.Wherein, institute
It is disk, CD, read-only memory or random access memory etc. to state computer-readable recording medium.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art the invention discloses technical scope in, the change or replacement that can be readily occurred in,
It should all be included within the scope of the present invention.
Claims (9)
1. a kind of rational quantitative evaluating method of intelligent substation cost, it is characterised in that including step:
Step S1. determines evaluation index collection and Comment gathers;According to reasonability grade set in advance, by the comment in Comment gathers point
Enter in each reasonability grade, and generate the standard cloud of each reasonability grade;
Step S2. generates the basic cloud of each evaluation index;
Step S3. determines that evaluation index concentrates the assessed value of each evaluation index to the rational weighing factor of comprehensive cost, obtains
Weight sets;
Step S4. calculates comprehensive assessment cloud on the basis of basic cloud and weight sets;
Step S5. is calculated and is compared the similarity of comprehensive assessment cloud and each standard cloud, and determines assessment result.
2. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that institute's commentary
Estimating index set includes:
Cost formation two first class index of reasonability and Cost Management reasonability;
Quantities, price, Budgetary Estimates clearing deviation ratio, scheduled fun payment deviation ratio, project signature expense account for engineering throwing
Money percentage, quantities variable expense deviation ratio and auditing for construction completion account are timely completed seven two-level index of rate.
3. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that step S1
In, the method for generation standard cloud includes:
Interval where comment i mapping values isUtilize positive normal state cloud generator generation standard cloud SCi=(Exi,
Eni,Hei), wherein,Eni=(Exi-Exi-1)/3。
4. the rational quantitative evaluating method of intelligent substation cost according to claim 3, it is characterised in that generation mark
During quasi- cloud, as i=1, En1=(Ex2-Ex1)/3, He1=δ;Wherein δ takes 0.01.
5. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that step S2
In, calculate the basic cloud PC of each evaluation index respectively using Normal Cloud Generator and backward cloud generatori=(Exi,Eni,Hei),
Ex, En, He represent expectation, entropy and super entropy respectively.
6. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that step S3
Middle use entropy assessment determines the assessed value of each reasonability index to the rational weighing factor of comprehensive cost.
7. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that step S4
The computational methods of middle comprehensive assessment cloud, including:
According to the basic cloud PC of each evaluation indexi=(Exi,Eni,Hei), and corresponding preference entropy weight coefficient, obtain comprehensive assessment
Cloud TC=(Ex, En, He), wherein
8. the rational quantitative evaluating method of intelligent substation cost according to claim 1, it is characterised in that step S5
In, the similarity of comprehensive assessment cloud and standard cloud is calculated using euclidean distance method.
9. the rational quantitative evaluating method of intelligent substation cost according to claim 7, it is characterised in that step S5
The weight of expectation, entropy and super entropy in the middle cloud by comprehensive assessment is designated as equal.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110750830A (en) * | 2019-10-18 | 2020-02-04 | 北京申信达成科技有限公司 | Wood structure ancient building health state assessment method based on normal cloud model |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105046453A (en) * | 2015-09-02 | 2015-11-11 | 中铁十一局集团有限公司 | Construction engineering project cluster establishment method introducing cloud model for evaluation and selection |
CN106780117A (en) * | 2016-12-02 | 2017-05-31 | 国网浙江省电力公司经济技术研究院 | A kind of power distribution network project financial leasing methods of risk assessment |
-
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- 2017-06-13 CN CN201710443914.9A patent/CN107292503A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105046453A (en) * | 2015-09-02 | 2015-11-11 | 中铁十一局集团有限公司 | Construction engineering project cluster establishment method introducing cloud model for evaluation and selection |
CN106780117A (en) * | 2016-12-02 | 2017-05-31 | 国网浙江省电力公司经济技术研究院 | A kind of power distribution network project financial leasing methods of risk assessment |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110750830A (en) * | 2019-10-18 | 2020-02-04 | 北京申信达成科技有限公司 | Wood structure ancient building health state assessment method based on normal cloud model |
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