CN110309945A - Power distribution station project optimizing evaluation method based on G1- entropy assessment - Google Patents
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Abstract
The power distribution station project optimizing evaluation method based on G1- entropy assessment that the invention discloses a kind of, the method include that distributing net platform region Output Ratio Establishing, index pretreatment and weight setting and project are comprehensive preferably.Wherein, assessment indicator system fully considers the area Liao Tai basic data, operation/maintenance data, and meter and returns of investment；Index weights are calculated using G1- entropy assessment；Comprehensively considered expert decision-making in funding arrangement based on the optimization model of project appraisal must implement project, take into account the sequence of project science and two factors of expert decision-making well.Instance analysis shows, the present invention can be applied in the investment plan establishment management work of power supply bureau, districts and cities and each power supply bureau, counties and districts, for power distribution station project preferably and funding arrangement provide theoretical foundation and method reference, enhance science, the reasonability of platform area investment decision, avoid inefficient or ineffective investment, operations risks are effectively taken precautions against and evaded, further promote investment decision management level.
Description
Technical field
The invention belongs to power construction technical field more particularly to a kind of power distribution station project based on G1- entropy assessment are excellent
Select evaluation method.
Background technique
In recent years, as the quickening of the new round upgrading of rural power grids promotes, power distribution network investment increases year by year, has accounted for mesolow and has matched
50% or more of net investment.Due to lacking effectively evaluating method, investment decision is caused to be based on insufficient grounds, although and then occurring throwing
Money is lasting to be increased, but platform area heavy-overload, low voltage condition still highlight.By taking the barrier A as an example, about 20,000 altogether, the area Gong Biantai,
Wherein 15% has heavy-overload, low-voltage, requires that there is not with " making good use of electricity " that the people increasingly promotes is met
With the case where.Therefore, investment is lasting increase in the case where, how using limited fund to solve more power distribution stations
Problem becomes power grid enterprises' investment decision urgent problem to be solved.
There are many documents herein and its related fields have carried out research, Ma Ji et al. (low-voltage distribution network based on G2- entropy assessment
Platform zone state characteristic evaluation [J] Electric Power Automation Equipment, 2017,37 (1): 41-46.) to the operating status of power distribution station into
It has gone evaluation, but has not considered input-output ratio.(power distribution network Evaluation of Investment-Benefit and investment item -5- purpose are preferred by Wang Guoquan et al.
[J] Power System and its Automation journal, 2017,29 (12)) use analytic hierarchy process (AHP) to carry out power distribution network project investment effect
The evaluation of benefit evaluation assigns power excessively subjectivity, fails the association and feature between abundant focused data.Li Xiaojun et al. (is based on grey
Power distribution network project investment benefit evaluation [J] of hierarchical model is for electricity consumption, 2017,01:46-50.) distribution project has been carried out excellent
Choosing, but the optimization due to more focusing on grid structure, fail sufficiently to consider platform area project characteristic, and with metering automation, intelligence
It can ammeter application bring magnanimity platform area operation data.(power distribution network Investment Allocation and project preferably study [J] to Cui Wenting et al.
China Power, 2015,48 (11): 149-154.)] preference ordering of distribution project is studied, but fail to consider in reality
The objective project that must implement during border.The above research all not in all directions to distribution net platform region investment decision into
Row analysis and consideration.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of power distribution station project optimizing evaluation based on G1- entropy assessment
Method preferably provides strong decision-making foundation for platform area project, and investment inefficient is avoided to cause platform area heavy-overload, low-voltage
The case where problem still highlights.
In order to solve the above technical problems, the invention adopts the following technical scheme:
Power distribution station project optimizing evaluation method based on G1- entropy assessment, comprising the following steps:
1 > distributing net platform region Output Ratio Establishing
The preferred influence factor of distributing net platform region project is analyzed, first class index is obtained；First class index is decomposed, to distribution
The influence factor of platform area project carries out detailed analysis and obtains two-level index by expert graded, to construct evaluation index
System；
The pretreatment of 2 > index and weight setting
Corresponding weight is assigned to indices, subjective weight is solved using G1, objective weight is solved using entropy assessment, it is main
It sees the power of tax to combine with Objective Weight, finally optimizes to obtain comprehensive weight using method of Lagrange multipliers；
3 > project is comprehensive preferred
The evaluation score for calculating single project subtracts essential option purpose investment amount to evaluate Score maxi-mation as target,
The synthesis of carry out project is preferred.
First class index includes equipment technology level, load service capability, returns of investment, and corresponding to two-level index is respectively to supply
Electric radius a1, platform area capacity a per family2, maximum load rate a3, three-phase imbalance rate a4, platform area line loss per unit a5, platform area low-voltage gets over
A between in limited time6, platform area low-voltage be related to number of users a7, specific investment cost growth power supply volume a8, ten thousand yuan of investments improve load factor a9, ten thousand
Member investment improves voltage level a10；Wherein, the two-level index of equipment technology level is limit value type index, load service capability
Two-level index is minimal type index, and the two-level index of returns of investment is large index.
Step 2 > be carried out as follows:
Defining m is index sum, and n is the platform area number of entry reported,
The pretreatment of 2.1 > index
It is as follows that initial data is collected according to assessment indicator system first:
Wherein, uijFor j-th of index factor that i-th of project appraisal impacts, n is the platform area number of entry reported, m
For index sum；Large, minimal type and limit value type index are handled as follows:
(1) large index
(2) minimal type index
(3) limit value type index
Limit value large/minimal type in this way, when being more than limit value, vij1/0 is regarded as, then according to large/minimal type
Index Formula is pre-processed；
2.2 > G1 method calculates subjective weight
Step 1: order relation is determined
To Mr. Yu's interpretational criteria, it is y that index, which has order relation, for definition1>y2>Λ>ym, then it has been determined that each evaluation refers to by " > "
Mark order relation；yiIt is expert for the marking value of the significance level of index.
Step 2: the relative importance degree between adjacent index is calculated
Define expert opinion index yk-1With ykThe rational judgment of the ratio between significance level be
Wherein, k=m, m-1, Λ 3,2；
Step 3: weight calculation
Again by wkObtain the weight of other evaluation indexes:
wk-1=rkwk (6)
2.3 > entropy assessment calculates objective weight
Step 1: Calculation Estimation index entropy
For j-th of evaluation index, the entropy of the influence factor, definition expression are calculated using the ordered series of numbers under the influence factor
Formula are as follows:
Wherein,The index value ratio for being i-th of assessment item in j-th of evaluation index；If pij=0, it enables
pij lnpij=0；
Step 2: weight calculation
Define coefficient of variation 1-Xj, coefficient of variation is normalized, the weight of j-th of index is obtained,
2.4 > calculated based on the comprehensive weight of G1 method and entropy assessment
Optimized as the following formula with method of Lagrange multipliers and calculates comprehensive weight
Step 3 > be carried out as follows:
3.1 > project appraisal value calculates
Normalized achievement data correspondence is summed with overall target multiplied by weight, obtains the evaluation score of single project,
Wherein ciFor the overall merit score of corresponding project i；T is matrix transposition；
3.2 > project comprehensive optimization is established
When expert recommends the essential option of distribution construction project, to evaluate Score maxi-mation as target, to subtract the subitem
The investment of purpose amount is constraint, and the synthesis for carrying out project is preferred, and Optimized model is as follows:
Wherein ziIt is 1 when selecting project i whether to select the mark of project i, otherwise is 0；When project i is necessary real
When the project applied, ziIt is arranged to 1；piFor the investment amount that project i needs, P is the limit for distributing to the unit, P0For must
It must practical matter purpose total investment.
For current power distribution station project investment accuracy, not high, project selects the problem of excellent scientific basis deficiency, inventor
A kind of power distribution station project optimizing evaluation method based on G1- entropy assessment is established, which includes that distributing net platform region project appraisal refers to
Mark system establishes, index pretreatment and weight setting and project are comprehensive preferably.Wherein, assessment indicator system is sufficiently examined
The area Lv Liaotai basic data, operation/maintenance data, and meter and returns of investment；Index weights are calculated using G1- entropy assessment；Based on project
What the optimization model of evaluation had comprehensively considered expert decision-making in funding arrangement must implement project, take into account project well
Science sequence and two factors of expert decision-making.Instance analysis shows that the present invention can be applied to power supply bureau, districts and cities and each counties and districts supply
It is preferred and funding arrangement provides theoretical foundation and side for power distribution station project in the investment plan establishment management work of electric office
Method reference, enhances science, the reasonability of platform area investment decision, avoids inefficient or ineffective investment, effectively take precautions against and evade
Operations risks further promote investment decision management level.
Detailed description of the invention
Fig. 1 is that distributing net platform region project integrates preferred flow charts in the present invention.
Specific embodiment
1 distributing net platform region Output Ratio Establishing
Distributing net platform region project is influenced preferably because being known as very much, is to matching using system, science, practical evaluation index
Net platform region project is preferably crucial.It is studied by extensive investigations, fully absorbs domestic advanced provinces and cities' project optimizing evaluation index
The experience of system, it is comprehensive from multiple angles such as economy, technical, data easy availability in combination with the city A own characteristic
Consider, the influence of investment optimization is added, analyzes the preferred influence factor of distributing net platform region project, obtain first class index.Pass through fish-bone
Analytic approach decomposes first class index, carries out detailed analysis to the influence factor of distributing net platform region project；Pass through expert estimation
Method obtains two-level index, to construct assessment indicator system (being shown in Table 1).
1 power distribution station Output Ratio system of table
The pretreatment of 2 indexs and weight setting
Defining m is index sum, and n is the platform area number of entry reported, in order to use These parameters system to power distribution station
Project carries out evaluation with preferably, need to assign corresponding weight to indices, subjective weight be solved using G1, using entropy assessment
Objective weight is solved, subjective weights are combined with Objective Weight, finally optimize to obtain comprehensive weight using method of Lagrange multipliers.
The pretreatment of 2.1 indexs
It is as follows that initial data is collected according to assessment indicator system first:
Wherein, uijJ-th of the index factor impacted for i-th of project appraisal.
Related index shares three types, is large, minimal type and limit value type index respectively, after treatment institute
Having achievement data is the decimal between 0 to 1, convenient for the overall merit of next step.
(1) large index
(2) minimal type index
(3) limit value type index
Limit value large (minimal type) in this way, when being more than limit value, vij1 (0) is regarded as, then according to large and minimum
Type Index Formula is pre-processed.
2.2 G1 methods calculate subjective weight
The subjective weight of evaluation index is determined using G1 method, it is consistent with inspection that the method does not need Judgement Matricies
Property, a large amount of calculating are avoided, while can flexibly change with the change of decision problem, and there is isotonicity.Basic principle is
The different degree sequence of expert judgments evaluation index calculates each then to the relative Link Importance for judging adjacent two indexes according to theorem
Index weights.Specific step is as follows:
Step 1: order relation is determined
To Mr. Yu's interpretational criteria, it is y that index, which has order relation, for definition1>y2>Λ>ym, then it has been determined that each evaluation refers to by " > "
Mark order relation.
Step 2: the relative importance degree between adjacent index is calculated
Define expert opinion index yk-1With ykThe rational judgment of the ratio between significance level be
Wherein, k=m, m-1, Λ 3,2.For rkAssignment can refer to table 2.
2 r of tablekAssignment reference table
Step 3: weight calculation
Again by wkObtain the weight of other evaluation indexes:
wk-1=rkwk (6)
2.3 entropy assessments calculate objective weight
Entropy assessment is the Objective Weighting based on data difference driving principle, and the method efficiently uses the difference of achievement data
It is different, exclude the influence of subjective factor.The difference of certain index is bigger, and entropy weight is smaller, then illustrates what the index can rise in evaluation
Effect is bigger, and weight is also bigger.Specific step is as follows:
Step 1: Calculation Estimation index entropy
For j-th of evaluation index, the entropy of the influence factor, definition expression are calculated using the ordered series of numbers under the influence factor
Formula are as follows:
Wherein,The index value ratio for being i-th of assessment item in j-th of evaluation index.If pij=0, it enables
pij lnpij=0.
Step 2: weight calculation
For j-th of index, vijDifference it is bigger, then XjIt is smaller, index vijComparison effect to being evaluated between project
It is bigger.Define coefficient of variation 1-Xj, numerical value is bigger, should more pay attention to effect of this index in overall evaluation system.
Coefficient of variation is normalized, the weight of j-th of index is obtained.
2.4 are calculated based on the comprehensive weight of G1 method and entropy assessment
G1 method sufficiently reflects judgement of the expert for index significance level, and entropy assessment can efficiently use achievement data itself
Difference combines G1 method and entropy assessment, is optimized with method of Lagrange multipliers and calculates comprehensive weight, can not only reflect that expert anticipates
See, can also reflect data nature, so that each index weights are more objective and reasonable in evaluation.
3 projects are comprehensive preferred
Project comprehensive preferred flow in distributing net platform region is specific as shown in Figure 1, by collecting data, carries out pretreatment and weight meter
After calculation, the evaluation score of single project is calculated.To evaluate Score maxi-mation as target, essential option purpose investment amount is subtracted, into
The synthesis of row project is preferred.
3.1 project appraisal values calculate
Normalized achievement data correspondence is summed with overall target multiplied by weight, obtains the evaluation score of single project.
Wherein ciFor the overall merit score of corresponding project i.
3.2 project comprehensive optimizations are established
For the practicability for further enhancing optimization model, the factors such as technology, economy, social environment are comprehensively considered.Work as multidigit
For expert from project construction necessity, urgency, importance, investment risk, policy etc., that recommends distribution construction project must
When option, to evaluate Score maxi-mation as target, it is constraint to subtract the investment of amount of some projects, carries out project
Comprehensive preferred, Optimized model is as follows:
Wherein ziIt is 1 when selecting project i whether to select the mark of project i, otherwise is 0；When project i is necessary real
When the project applied, ziIt is arranged to 1.piFor the investment amount that project i needs, P is the limit for distributing to the unit, P0For must
It must practical matter purpose total investment.
Instance analysis 1
By taking the county B of the barrier A as an example, when investment plan is worked out within 2018, the county B reports platform area project demands 630, demand altogether
120,000,000 yuan of project funds, but it is actually allocated to the platform Qu Xinzeng in the county B or transformation funds only have 90,000,000 yuan, it is not able to satisfy institute
There is demand, carries out the integrated ordered of project below with the evaluation method of this paper.
(1) according to performed assessment indicator system, the indication information of each area's project is obtained.
It is (2) corresponding to carry out index pretreatment according to formula 2,3 pairs of the formula project of whole 630 after distinguishing indexes classification,
Since length is limited, 5 projects are only listed herein as signal, the index pre-processed results of project 1 to project 5 are shown in Table 1.
The index pretreatment values of 3 some projects of table
(3) each evaluation index master, objective weight are calculated separately according to G1 method and entropy assessment, finally obtains comprehensive weight, as a result
It is shown in Table 2.
4 power distribution station evaluation criterion weight of table
(4) single project appraisal score value is calculated
The overall merit score of projects is calculated using formula 10, wherein the evaluation score of item 1 to project 5
It is shown in Table 3.
The overall merit score of 5 some projects of table
(5) project is comprehensive preferred
Comprehensive pool is carried out by expert's constructive necessity, urgency, importance, investment risk, policy etc., is shared
7 projects (are related to fund P0It is 3,300,000 yuan) it must implement, therefore assignable fund is 86,700,000 yuan.With 11 function of formula
And constraint condition carries out comprehensive preferred, selection project 463.Through the above steps, the investment plan in the county B, platform area are finally obtained
Project sum 470, is related to 90,000,000 yuan of fund.
Using methods described herein, in the case where limited capital fund and big project demands amount, the barrier the A county B is solved
Power distribution station project investment problem, project must be implemented by not only comprehensively considering, and also avoided fully relying on experience and subjective carried out
Judgement lacks systematization process, situations such as data volume is huge, provides strong reference for establishment investment plan.
Instance analysis 2
The method that general power supply company uses during capital investment is: first by voltage beyond+7% to -10%
Threshold values invested, by load factor be ranked up investment in limited fund, there is very big master in remaining project investment
See factor of judgment；After investment, number of items is 450, and investment amount of money involved is 89,900,000 yuan.
Project after the conventional method investment such as used according to assessment indicator system of the present invention to above-mentioned power supply company carries out
Marking, synthetic evaluation of projects total score are 262 points.
As evaluated referring to the present invention, after rejecting essential project, integrated ordered beat is carried out according to assessment indicator system
Divide investment.Investment project number is 470, and amount of money involved is 89,980,000 yuan, and synthetic evaluation of projects total score is 292 points.It comments
Valence index system is related to related low-voltage, the technical indicator of heavy-overload and returns of investment index, and score value is obviously than original method
Height illustrates that this method not only solves the problems, such as platform area low-voltage, heavy-overload, can more improve the validity of investment.
Claims (4)
1. a kind of power distribution station project optimizing evaluation method based on G1- entropy assessment, it is characterised in that the following steps are included:
1 > distributing net platform region Output Ratio Establishing
The preferred influence factor of distributing net platform region project is analyzed, first class index is obtained；First class index is decomposed, to distributing net platform region
The influence factor of project carries out detailed analysis and obtains two-level index by expert graded, to construct assessment indicator system；
The pretreatment of 2 > index and weight setting
Corresponding weight is assigned to indices, subjective weight is solved using G1, objective weight is solved using entropy assessment, subjectivity is assigned
Power is combined with Objective Weight, finally optimizes to obtain comprehensive weight using method of Lagrange multipliers；
3 > project is comprehensive preferred
The evaluation score for calculating single project subtracts essential option purpose investment amount, carries out to evaluate Score maxi-mation as target
The synthesis of project is preferred.
2. project optimizing evaluation method in power distribution station according to claim 1, it is characterised in that: the first class index includes
Equipment technology level, load service capability, returns of investment, corresponding to two-level index is respectively radius of electricity supply a1, platform area holds per family
Measure a2, maximum load rate a3, three-phase imbalance rate a4, platform area line loss per unit a5, platform area low-voltage threshold crossing time a6, platform area low-voltage relates to
And number of users a7, specific investment cost growth power supply volume a8, ten thousand yuan of investments improve load factor a9, ten thousand yuan of investments improve voltage level a10；Its
In, the two-level index of equipment technology level is limit value type index, and the two-level index of load service capability is minimal type index, investment
The two-level index of benefit is large index.
3. project optimizing evaluation method in power distribution station according to claim 2, it is characterised in that step 2 > be carried out as follows:
Defining m is index sum, and n is the platform area number of entry reported,
The pretreatment of 2.1 > index
It is as follows that initial data is collected according to assessment indicator system first:
Wherein, uijFor j-th of index factor that i-th of project appraisal impacts, n is the platform area number of entry reported, and m is to refer to
Mark sum；The large, minimal type and limit value type index are handled as follows:
(1) large index
(2) minimal type index
(3) limit value type index
Limit value large/minimal type in this way, when being more than limit value, vij1/0 is regarded as, then according to large/minimal type index
Formula is pre-processed；
2.2 > G1 method calculates subjective weight
Step 1: order relation is determined
To Mr. Yu's interpretational criteria, it is y that index, which has order relation, for definition1>y2>Λ>ym, then it has been determined that each evaluation index sequence is closed by " > "
System；yiIt is expert for the marking value of the significance level of index；
Step 2: the relative importance degree between adjacent index is calculated
Define expert opinion index yk-1With ykThe rational judgment of the ratio between significance level be
Wherein, k=m, m-1, Λ 3,2；
Step 3: weight calculation
Again by wkObtain the weight of other evaluation indexes:
wk-1=rkwk (6)
2.3 > entropy assessment calculates objective weight
Step 1: Calculation Estimation index entropy
For j-th of evaluation index, the entropy of the influence factor is calculated using the ordered series of numbers under the influence factor, defines expression formula
Are as follows:
Wherein,The index value ratio for being i-th of assessment item in j-th of evaluation index；If pij=0, enable pij
ln pij=0；
Step 2: weight calculation
Define coefficient of variation 1-Xj, coefficient of variation is normalized, the weight of j-th of index is obtained,
2.4 > calculated based on the comprehensive weight of G1 method and entropy assessment
Optimized as the following formula with method of Lagrange multipliers and calculates comprehensive weight
4. project optimizing evaluation method in power distribution station according to claim 3, it is characterised in that step 3 > be carried out as follows:
3.1 > project appraisal value calculates
Normalized achievement data correspondence is summed with overall target multiplied by weight, obtains the evaluation score of single project,
Wherein ciFor the overall merit score of corresponding project i；T is matrix transposition；
3.2 > project comprehensive optimization is established
When expert recommends the essential option of distribution construction project, to evaluate Score maxi-mation as target, to subtract some projects
The investment of amount is constraint, and the synthesis for carrying out project is preferred, and Optimized model is as follows:
Wherein ziIt is 1 when selecting project i whether to select the mark of project i, otherwise is 0；When project i is the item that must implement
When mesh, ziIt is arranged to 1；piFor the investment amount that project i needs, P is the limit for distributing to the unit, P0For necessary practical matter
Purpose total investment.
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| CN111815268A (en) * | 2020-06-28 | 2020-10-23 | 厦门思在信息科技有限公司 | Project investment control method and device based on value assessment and terminal |
| CN111932121A (en) * | 2020-08-11 | 2020-11-13 | 广东电网有限责任公司广州供电局 | Method, device, terminal and storage medium for evaluating high-quality power investment scheme |
| CN111932059A (en) * | 2020-06-22 | 2020-11-13 | 国网江西省电力有限公司电力科学研究院 | 10kV transformer district project establishment decision quantification method and system |
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| CN111932059A (en) * | 2020-06-22 | 2020-11-13 | 国网江西省电力有限公司电力科学研究院 | 10kV transformer district project establishment decision quantification method and system |
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| CN112686530B (en) * | 2020-12-28 | 2022-07-26 | 贵州电网有限责任公司 | Relay protection operation reliability evaluation method |
| CN113077155A (en) * | 2021-04-07 | 2021-07-06 | 国家电网有限公司 | Big data situation perception-based power production technical improvement project evaluation model |
| CN113077155B (en) * | 2021-04-07 | 2024-05-07 | 国家电网有限公司 | Big data situation awareness-based power production technical improvement project evaluation model |
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