CN107274056A - A kind of power network saving energy and decreasing loss schemes synthesis evaluation method - Google Patents

A kind of power network saving energy and decreasing loss schemes synthesis evaluation method Download PDF

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CN107274056A
CN107274056A CN201710309592.9A CN201710309592A CN107274056A CN 107274056 A CN107274056 A CN 107274056A CN 201710309592 A CN201710309592 A CN 201710309592A CN 107274056 A CN107274056 A CN 107274056A
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游大海
梅桢
阮博
刘巨
邓琼
姚伟
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Huazhong University of Science and Technology
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
Xiangyang Power Supply Co of State Grid Hubei Electric Power Co Ltd
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State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
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Abstract

The present invention has taken into full account the feasibility that electric power network technique characteristic and index are calculated, establishing a set of perfect System of Comprehensive Evaluation includes three levels, 3 two-level index, 12 first class index, environmental benefit, the Social benefit and economic benefit of saving energy and decreasing loss scheme can fully be reflected, can reflect that level of aggregation, deficiency in a certain respect and the novel energy-conserving of single evaluation object drop damage scheme, power grid new technology and introduce influence to power network saving energy and decreasing loss effect by comprehensive evaluation result with longitudinal comparison, can also lateral comparison reflect the good and bad levels of multiple evaluation objects.The evaluation meanses that analytic hierarchy process (AHP) and Fuzzy Comprehensive Method are combined are employed when saving energy and decreasing loss scheme carries out overall merit, the problem of Consistency Check in Judgement Matrix being avoided, with innovative, practicality and reasonability, multiobjective decision-making can be effectively solved and the problem of index is difficult to quantify.The present invention has positive realistic function to power network saving energy and decreasing loss plan development.

Description

A kind of power network saving energy and decreasing loss schemes synthesis evaluation method
Technical field
The present invention relates to power network saving energy and decreasing loss with evaluating field, specially power network saving energy and decreasing loss schemes evaluation method.
Background technology
With the fast development of China's electric utility, environment and social desirability it is increasingly harsh, damage side is dropped to electric power energy-saving Case proposes new evaluation requirement.But in real work, Utilities Electric Co. drops damage scheme in applicating energy-saving and power network progress technology is changed When making, the requirement of the safety and reliability of electric network reconstruction is considered first, the factor of summer peak meeting is secondly considered, to electric network reconstruction Economy, environment and social often ignore；And often lay particular stress on a certain local link, it is impossible to that plans as a whole synthesis realizes electric power network technique The optimization of transformation, and the research become more meticulous is lacked to each technological transformation mode, the selection to each saving energy and decreasing loss scheme is not integrated The planning of pool.It is urgently to be resolved hurrily for how evaluating the quality of these power networks energy-conservation detraction scheme and filtering out most suitable scheme Significant problem.In order to realize evaluation and screening to power network saving energy and decreasing loss scheme, it is desirable to take into account saving energy and decreasing loss scheme energy-conservation as far as possible Emission reduction, social and economy each side.Based on this, it is proposed that a kind of method that power network saving energy and decreasing loss schemes synthesis is evaluated, The various aspects of scheme are set up into its corresponding index, electric power network technique characteristic, environmental benefit, social benefit, economy is taken into full account Benefit etc., realizes the analysis that becomes more meticulous to saving energy and decreasing loss scheme, using analytic hierarchy process (AHP) and fuzzy overall evaluation to scheme Each side and overall progress overall merit.
A kind of power network saving energy and decreasing loss schemes synthesis evaluation of programme includes choosing index system, is determined to weigh according to analytic hierarchy process (AHP) Weight matrix, fuzzy overall evaluation is carried out according to Field Using Fuzzy Comprehensive Assessment to scheme.Li Lanhai, document gift, Bai Yifei, cash equivalent cutting edge of a knife or a sword, A kind of energy-saving and emission-reduction integrated evaluating method [P] Heilungkiang towards mammoth tanker of Cheng Peng：CN104680027A,2015-06- The weight matrix that analytic hierarchy process (AHP) determines index is employed in 03..Patent Wang Wei continents, Zhao Zilan, Peng Xudong, Li Yalong, Jian Hua, Wu Xiaodan, Qiu Zejing, Jiang Xiwei, Huang Yongwei, but raise clear, Wen Jing, a kind of Liu Wen grain husk power distribution network synthesis energy saving potentiality point Analysis method [P] Beijing：CN103530706A, 2014-01-22. employ fuzzy overall evaluation and carry out overall merit to scheme.
The content of the invention
It is an object of the present invention to provide a kind of power network saving energy and decreasing loss schemes synthesis evaluation method.This method establishes a set of Perfect System of Comprehensive Evaluation, can fully reflect environmental benefit, the Social benefit and economic benefit of saving energy and decreasing loss scheme, Scheme evaluation result is obtained with fuzzy synthetic appraisement method.Advantage is：The comprehensive of single evaluation object can be reflected with longitudinal comparison Heshui is flat, deficiency and novel energy-conserving drop damage scheme in a certain respect, power grid new technology introduce shadow to power network saving energy and decreasing loss effect Ring, can also lateral comparison reflect the good and bad levels of multiple evaluation objects.
In order to achieve the above object, the present invention is adopted the following technical scheme that：
A kind of power network saving energy and decreasing loss schemes synthesis evaluation method, this method is comprised the steps of：
A1, calculating social benefit index B1Fuzzy overall evaluation collection S1
Social benefit index B1Include four first class index：Loss of outageThe capacity of new energy access systemNew energy Source electricity volumeRate of qualified voltageThe weight matrix W of four first class index is first calculated using analytic hierarchy process (AHP)1；Foundation again Membership function calculates the membership vector of four first class indexBy membership vectorGroup Into social benefit index B1Subordinated-degree matrix R1, calculateObtain social benefit index B1Mould Paste overall merit collection S1；
A2, calculating energy-saving and emission-reduction index B2Fuzzy overall evaluation collection S2
Reduce dusty gas discharge capacityReduce fossil energy consumption mark coal amountThe treatment cost valency of pollutant emission reduction ValueTheoretical network loss reduced rateThe weight matrix W between four first class index is first calculated using analytic hierarchy process (AHP)2；Foundation again Membership function calculates the membership vector of four first class indexBy membership vectorGroup Into energy-saving and emission-reduction index B2Subordinated-degree matrix R2, calculateObtain energy-saving and emission-reduction index B2Mould Paste overall merit collection S2；
A3, calculating economic benefits indicator B3Fuzzy overall evaluation collection S3
The Spring Festival holidays electricity charge are usedInvest totle drilling costYear equivalent indicator of costsRate of return on total investment indexProject is provided Capital profit margin indexThe weight matrix W between four first class index is first calculated using analytic hierarchy process (AHP)3；Foundation is subordinate to again Spend the membership vector that function calculates four first class indexBy membership vectorComposition warp Performance indicator of helping B3Subordinated-degree matrix R3, calculateObtain economic benefits indicator B3It is fuzzy comprehensive Close evaluate collection S3；
B, power network saving energy and decreasing loss scheme Fuzzy comprehensive evalution computational methods：
Power network saving energy and decreasing loss scheme includes three two-level index：Social benefit index B1, energy-saving and emission-reduction index B2, economic effect Beneficial index B3；The weight matrix W of two-level index is first calculated according to analytic hierarchy process (AHP)4, then determine by expert the Comment gathers of the program, Corresponding scoring collection E=(e are provided according to Comment gathers1,e2,e3,e4), then obtain the fuzzy overall evaluation collection S of two-level indexi,i Total subordinated-degree matrix R of=1,2,3 composition programs4, by calculatingObtain the program Fuzzy overall evaluation collection S4, the Fuzzy comprehensive evalution of the programN size represents the quality of the program；With The above method carries out overall merit to a variety of saving energy and decreasing loss schemes, obtains the Fuzzy comprehensive evalution of multiple schemes, compares the value Size acquisition optimal case is ranked up to a variety of saving energy and decreasing loss schemes.
Comprise the following steps that：
A, set up assessment indicator system
A1, social benefit index B1
Loss of outageThe capacity of new energy access systemNew energy electricity volumeRate of qualified voltage
Loss of outage
G represents power network location year GDP values in formula, and EENS represents power network location year expected loss of energy, and E is The total delivery in power network location year；
The capacity of new energy access system
Refer to the generating capacity of the new energy access system such as water power in the period of accounting, wind-powered electricity generation, solar power generation；
New energy electricity volume
Refer to new energy electricity volume in the period of accounting；
Rate of qualified voltage
B in formula, c, d, e represent the rate of qualified voltage of four class voltage monitoring points in power network respectively, and b classes monitoring point represents band ground Each section of busbar voltage of the transformer station of area's supply load and 20kV, 10kV or the 6kV in power plant, c classes monitoring point represents 35kV, 20kV Special line and 110kV and above user terminal supply voltage, d classes monitoring point represent that the non-special lines of 35kV and 20kV and 10kV or 6kV are used Family end supply voltage, e classes monitoring point represents 380/220V secondary networks and user terminal supply voltage, and n represents that c, d and e class are monitored Point total number；
A2, energy-saving and emission-reduction index B2
Reduce dusty gas discharge capacityReduce fossil energy consumption mark coal amountThe treatment cost valency of pollutant emission reduction ValueTheoretical network loss reduced rate
Reduce dusty gas discharge capacity
Reduce fossil energy consumption mark coal amount
The treatment cost value index of pollutant emission reduction
Theoretical network loss reduced rate index
Refer to implement the network loss reduced rate that saving energy and decreasing loss scheme is brought；
A3, economic benefits indicator B3
The Spring Festival holidays electricity charge are usedInvest totle drilling costYear equivalent indicator of costsRate of return on total investment index
The Spring Festival holidays electricity charge are used
Invest totle drilling cost
In formula CI represent first cost of investment, CO represent O＆M cost, CM represent repair and maintenance cost, CF represent failure into Originally, CD represents retired cost of disposal；
Year equivalent indicator of costs
Rate of return on total investment index
Refer to full production capacity period normal year year IBTT or operation phase average annual IBTT account for general item investment Percentage, is traditional economy index；
B, the weight based on each level index of analytic hierarchy process (AHP) calculating
B1, selection exponential scale system
Importance graduation between each index is determined in step a by expert, the importance scale value of adjacent two-stage be in than Value relation；
Table 1：Scaling system
Difference No less important It is somewhat important It is substantially important It is extremely important It is strong important
Importance series 0 grade 1 grade 2 grades 3 grades 4 grades
Importance scale value t0=1 t1=1.732 t2=3 t3=5.194 t4=9
In table, t=1.732；
B2, development of judgment matrix
Judgment matrix Ai, m row n column elements in i=1,2,3
In formula,The index determined by expertFor indexImportance series,For with again The property wanted seriesCorresponding importance scale value；
Judgment matrix A4In pth row q column elements
In formula, lpq=0,1,2,3,4 is index B determined by expertpOn index BqImportance series,For with again The property wanted series lpqCorresponding importance scale value；
B3, the uniformity of judgment matrix judge
According to | λ I-Ai|=0 calculates AiCharacteristic valueniFor AiDimension, obtain eigenvalue of maximum
AiCoincident indicator CIiWith Consistency Ratio CRi：
In formula, RIiFor coincident indicator, niRI when=3i=0.58, niRI when=4i=0.90；Work as CRiDuring ＜ 0.1, recognize For AiUniformity is met, weight matrix calculating is carried out；Work as CRiDuring ＞ 0.1, A is changed by experti, then uniformity judgement is carried out, directly To AiMeet uniformity；
B4, parameter weight matrix
According toCalculate maximal eigenvectorN=3,4 is in formula The corresponding dimension of judgment matrix；
To QiIt is normalized, obtains weight matrixCalculation formula is：
In formula,For judgment matrix AiThe corresponding weight of j-th of index in correspondence index set；
C, determine power network saving energy and decreasing loss schemes synthesis evaluate middle finger target Comment gathers：
Point set of c1, metrics evaluation
By all first class indexTwo-level index Bk, k=1,2,3 points are 4 opinion ratings, It is respectively 1 grade, 2 grades, 3 grades, 4 grades from low to high；Evaluation point set E is provided to each grade：
E=(e1,e2,e3,e4)
E in formula1=1 is the corresponding scoring of 1 grade of opinion rating, e2=4 be the corresponding scoring of 2 grades of opinion rating, e3=7 are The corresponding scoring of 3 grades of opinion rating, e4=10 be the corresponding scoring of 4 grades of opinion rating；
C2, first class index evaluation index value set
Provide indexEvaluation index value set
In formulaRepresent index1 grade of opinion rating correspondence desired value,Represent index2 grades of opinion rating it is right Answer desired value,Represent index3 grades of opinion rating correspondence desired values,Represent index4 grades of correspondences of opinion rating refer to Scale value, These parameters value is determined by expert；
D, the overall merit based on Fuzzy Comprehensive Method progress scheme are calculated, and determine the Fuzzy comprehensive evalution N of scheme：
D1, first order calculation index membership vector
First class indexMembership vectorCalculation formula is：
In formula,Represent estimated plan on indexTo the degree of membership of opinion rating 1,Represent that estimated plan is closed In indexTo the degree of membership of opinion rating 2,Represent estimated plan on indexTo the degree of membership of opinion rating 3, Represent estimated plan on indexTo the degree of membership of evaluation etc. 4, For indexFuzzy micro-judgment value；
D2, the subordinated-degree matrix for calculating two-level index
By two-level index Bi, the membership vector of i=1,2,3 subordinate's first class index combine acquisition its corresponding be subordinate to Spend matrix Ri：
In formula,Refer to first class indexMembership vector,Refer to first class indexMembership vector,It is Refer to first class indexMembership vector,Refer to first class indexMembership vector；
D3, calculating two-level index BiFuzzy comprehensive evalution
Two-level index BiFuzzy overall evaluation collection Si, i=1,2,3, calculation formula is：
In formula,Represent BiOn the degree of membership of opinion rating 1,Represent BiOn the degree of membership of opinion rating 2,Represent BiOn the degree of membership of opinion rating 3,Represent BiDegree of membership on opinion rating 4；
BiFuzzy comprehensive evalutionCalculation formula is：
The higher saving energy and decreasing loss scheme being evaluated that represents is in two-level index BiIt is better that representative aspect is showed；
D4, the Fuzzy comprehensive evalution for calculating estimated plan
The total subordinated-degree matrix R of evaluation of programme4, specific formula is：
The fuzzy overall evaluation collection S of estimated plan4Calculation formula is：
In formula,For degree of membership of the estimated plan to opinion rating 1,For person in servitude of the estimated plan to opinion rating 2 Category degree,For degree of membership of the estimated plan to opinion rating 3,For degree of membership of the estimated plan to opinion rating 4；
The calculation formula for being evaluated the Fuzzy comprehensive evalution N of saving energy and decreasing loss scheme is：
The present invention has advantages below compared with prior art：Establishing a set of perfect System of Comprehensive Evaluation includes Three levels, 3 two-level index, 12 first class index, can fully reflect environmental benefit, the social benefit of saving energy and decreasing loss scheme And economic benefit, can with the level of aggregation of the single evaluation object of longitudinal comparison reflection, in a certain respect by comprehensive evaluation result The influence of damage scheme, power grid new technology introducing to power network saving energy and decreasing loss effect drops in not enough and novel energy-conserving, can also lateral comparison Reflect the good and bad level of multiple evaluation objects.Blue extra large with patent, document gift, Bai Yifei, cash equivalent cutting edge of a knife or a sword, Cheng Peng are a kind of towards large-scale Energy-saving and emission-reduction integrated evaluating method [P] the Heilungkiang of oil tanker：CN104680027A, 2015-06-03. are compared, and this patent is used Exponential scale system, can more reflect the difference of significance level between different indexs compared to element scaling system.With patent Wang Wei Continent, Zhao Zilan, Peng Xudong, Li Yalong, Zhang Jianhua, Wu Xiaodan, Qiu Zejing, Jiang Xiwei, Huang Yongwei, but raise clear, Wen Jing, Liu Wen A kind of clever power distribution network synthesis energy saving Potentials method [P] Beijing of：CN103530706A, 2014-01-22. are compared, and are made herein The index Fuzzy overall merit collection at different levels of evaluation of programme are calculated with analytic hierarchy process (AHP) and fuzzy synthetic appraisement method, are finally given Go out the overall Fuzzy comprehensive evalution of evaluation of programme, be easy to the quality of the more various saving energy and decreasing loss schemes of transverse and longitudinal.The present invention There is positive realistic function to power network saving energy and decreasing loss plan development.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of power network saving energy and decreasing loss schemes synthesis evaluation method.
Fig. 2 is System of Comprehensive Evaluation.
Fig. 3 is to determine schematic flow sheet based on each level weight of analytic hierarchy process (AHP).
Fig. 4 is that the schemes synthesis carried out based on Fuzzy Comprehensive Method evaluates calculation process schematic diagram.
Fig. 5 is the membership function of first class index.
Embodiment
A kind of power network saving energy and decreasing loss schemes synthesis evaluation method to the present invention is described in detail below in conjunction with the accompanying drawings.
Embodiment one
A, set up assessment indicator system
A1, social benefit index B1
Loss of outageThe capacity of new energy access systemNew energy electricity volumeRate of qualified voltage
Loss of outage
G represents power network location year GDP values in formula, and EENS represents power network location year expected loss of energy, and E is The total delivery in power network location year；
The capacity of new energy access system
Refer to the generating capacity of the new energy access system such as water power in the period of accounting, wind-powered electricity generation, solar power generation；
New energy electricity volume
Refer to new energy electricity volume in the period of accounting；
Rate of qualified voltage
B in formula, c, d, e represent the rate of qualified voltage of four class voltage monitoring points in power network respectively, and b classes monitoring point represents band ground Each section of busbar voltage of the transformer station of area's supply load and 20kV, 10kV or the 6kV in power plant, c classes monitoring point represents 35kV, 20kV Special line and 110kV and above user terminal supply voltage, d classes monitoring point represent that the non-special lines of 35kV and 20kV and 10kV or 6kV are used Family end supply voltage, e classes monitoring point represents 380/220V secondary networks and user terminal supply voltage, and n represents that c, d and e class are monitored Point total number；
A2, energy-saving and emission-reduction index B2
Reduce dusty gas discharge capacityReduce fossil energy consumption mark coal amountThe treatment cost valency of pollutant emission reduction ValueTheoretical network loss reduced rate
Reduce dusty gas discharge capacity
Reduce fossil energy consumption mark coal amount
The treatment cost value index of pollutant emission reduction
Theoretical network loss reduced rate index
Refer to implement the network loss reduced rate that saving energy and decreasing loss scheme is brought；
A3, economic benefits indicator B3
The Spring Festival holidays electricity charge are usedInvest totle drilling costYear equivalent indicator of costsRate of return on total investment index
The Spring Festival holidays electricity charge are used
Invest totle drilling cost
In formula CI represent first cost of investment, CO represent O＆M cost, CM represent repair and maintenance cost, CF represent failure into Originally, CD represents retired cost of disposal；
Year equivalent indicator of costs
Rate of return on total investment index
Refer to full production capacity period normal year year IBTT or operation phase average annual IBTT account for general item investment Percentage, is traditional economy index；
B, the weight based on each level index of analytic hierarchy process (AHP) calculating
B1, selection exponential scale system
Importance graduation between each index is determined in step a by expert, the importance scale value of adjacent two-stage be in than Value relation；
Table 1：Scaling system
Difference No less important It is somewhat important It is substantially important It is extremely important It is strong important
Importance series 0 grade 1 grade 2 grades 3 grades 4 grades
Importance scale value t0=1 t1=1.732 t2=3 t3=5.194 t4=9
In table, t=1.732；
B2, development of judgment matrix
Judgment matrix Ai, m row n column elements in i=1,2,3
In formula,The index determined by expertFor indexImportance series,For with again The property wanted seriesCorresponding importance scale value；
Judgment matrix A4In pth row q column elements
In formula, lpq=0,1,2,3,4 is index B determined by expertpOn index BqImportance series,For with again The property wanted series lpqCorresponding importance scale value；
B3, the uniformity of judgment matrix judge
According to | λ I-Ai|=0 calculates AiCharacteristic valueniFor AiDimension, obtain eigenvalue of maximum
AiCoincident indicator CIiWith Consistency Ratio CRi：
In formula, RIiFor coincident indicator, niRI when=3i=0.58, niRI when=4i=0.90；Work as CRiDuring ＜ 0.1, recognize For AiUniformity is met, weight matrix calculating is carried out；Work as CRiDuring ＞ 0.1, A is changed by experti, then uniformity judgement is carried out, directly To AiMeet uniformity；
B4, parameter weight matrix
According toCalculate maximal eigenvectorN=3,4 is in formula The corresponding dimension of judgment matrix；
To QiIt is normalized, obtains weight matrixCalculation formula is：
In formula,For judgment matrix AiThe corresponding weight of j-th of index in correspondence index set；
C, determine power network saving energy and decreasing loss schemes synthesis evaluate middle finger target Comment gathers：
Point set of c1, metrics evaluation
By all first class indexTwo-level index Bk, k=1,2,3 points are 4 opinion ratings, It is respectively 1 grade, 2 grades, 3 grades, 4 grades from low to high；Evaluation point set E is provided to each grade：
E=(e1,e2,e3,e4)
E in formula1=1 is the corresponding scoring of 1 grade of opinion rating, e2=4 be the corresponding scoring of 2 grades of opinion rating, e3=7 are The corresponding scoring of 3 grades of opinion rating, e4=10 be the corresponding scoring of 4 grades of opinion rating；
C2, first class index evaluation index value set
Provide indexEvaluation index value set
In formulaRepresent index1 grade of opinion rating correspondence desired value,Represent index2 grades of opinion rating it is right Answer desired value,Represent index3 grades of opinion rating correspondence desired values,Represent index4 grades of correspondences of opinion rating refer to Scale value, These parameters value is determined by expert；
D, the overall merit based on Fuzzy Comprehensive Method progress scheme are calculated, and determine the Fuzzy comprehensive evalution N of scheme：
D1, first order calculation index membership vector
First class indexMembership vectorCalculation formula is：
In formula,Represent estimated plan on indexTo the degree of membership of opinion rating 1,Represent that estimated plan is closed In indexTo the degree of membership of opinion rating 2,Represent estimated plan on indexTo the degree of membership of opinion rating 3, Represent estimated plan on indexTo the degree of membership of evaluation etc. 4, For indexFuzzy micro-judgment value；
D2, the subordinated-degree matrix for calculating two-level index
By two-level index Bi, the membership vector of i=1,2,3 subordinate's first class index combine acquisition its corresponding be subordinate to Spend matrix Ri：
In formula,Refer to first class indexMembership vector,Refer to first class indexMembership vector,It is Refer to first class indexMembership vector,Refer to first class indexMembership vector；
D3, calculating two-level index BiFuzzy comprehensive evalution
Two-level index BiFuzzy overall evaluation collection Si, i=1,2,3, calculation formula is：
In formula,Represent BiOn the degree of membership of opinion rating 1,Represent BiOn the degree of membership of opinion rating 2,Represent BiOn the degree of membership of opinion rating 3,Represent BiDegree of membership on opinion rating 4；
BiFuzzy comprehensive evalutionCalculation formula is：
The higher saving energy and decreasing loss scheme being evaluated that represents is in two-level index BiIt is better that representative aspect is showed；
D4, the Fuzzy comprehensive evalution for calculating estimated plan
The total subordinated-degree matrix R of evaluation of programme4, specific formula is：
The fuzzy overall evaluation collection S of estimated plan4Calculation formula is：
In formula,For degree of membership of the estimated plan to opinion rating 1,For person in servitude of the estimated plan to opinion rating 2 Category degree,For degree of membership of the estimated plan to opinion rating 3,For degree of membership of the estimated plan to opinion rating 4；
The calculation formula for being evaluated the Fuzzy comprehensive evalution N of saving energy and decreasing loss scheme is：
Embodiment two
As described in Figure 1, Fig. 1 is a kind of schematic flow sheet of power network saving energy and decreasing loss schemes synthesis evaluation method, including following Step：
A, System of Comprehensive Evaluation is set up, as shown in Figure 2；
B, the weight based on each level index of analytic hierarchy process (AHP) calculating, as shown in Figure 3；
C, the Comment gathers for determining first class index in the evaluation of power network saving energy and decreasing loss schemes synthesis；
D, the overall merit based on Fuzzy Comprehensive Method progress scheme are calculated, as shown in Figure 4；Determine that the fuzzy synthesis of scheme is commented It is worth N.
Specific embodiment：
A, set up System of Comprehensive Evaluation
As shown in Fig. 2 the index system that the present invention is set up includes solution layer, destination layer and operation layer, wherein destination layer contains There is two-level appraisement index 3, operation layer contains one-level evaluation index 12.First class index is divided into 3 according to 3 two-level index Set；
A1, social benefit index B1
Social benefit index takes into full account the social benefit that power network saving energy and decreasing loss scheme can be brought, 4 one-levels of subordinate Index constitutes set C1：
1) loss of outageRefer to supply of electric power when not exclusively reliable or expected not exclusively reliable (i.e. due in supply of electric power When disconnected or not enough and generation is powered off or rationed the power supply) the social whole economic losses undertaken, it is main to include what power failure was caused to user Loss and two parts of economic loss caused to power department itself, the loss of outage being generally mentioned typically refer to user's damage Lose.In overall efficiency indicator, loss of outage also refers in particular to user's loss, and the loss of grid company then refers in financial cost LCC Mark is reflected.The simple expected loss of energy tried to achieve according to existing reliability estimation method calculates Custom interruption costFormula it is as follows：
G in formulaiPower network location year GDP values are represented, EENS represents power network location year expected loss of energy, E By power network the regional year total delivery in area；
2) capacity of new energy access systemRefer to that the new energy such as water power in the period of accounting, wind-powered electricity generation, solar power generation are accessed The generating capacity of system；
3) new energy electricity volume
4) rate of qualified voltageCalculation formula：
B in formula, c, d, e represent the rate of qualified voltage of four class voltage monitoring points in power network respectively, and b classes monitoring point represents band ground Each section of busbar voltage of the transformer station of area's supply load and 20kV, 10kV or the 6kV in power plant, c classes monitoring point represents 35kV, 20kV Special line and 110kV and above user terminal supply voltage, d classes monitoring point represent that the non-special lines of 35kV and 20kV and 10kV or 6kV are used Family end supply voltage, e classes monitoring point represents 380/220V secondary networks and user terminal supply voltage, and n represents that c, d and e class are monitored Point total number；
A2, energy-saving and emission-reduction index B2
Energy-saving and emission-reduction index can fully reflect the environmental benefit that power network saving energy and decreasing loss scheme is brought, 4 one of subordinate Level index constitutes set C2：
1) dusty gas discharge capacity is reduced
2) fossil energy consumption mark coal amount is reduced
3) the treatment cost value of pollutant emission reduction
4) theoretical network loss reduced rate indexRefer to implement the network loss reduced rate that saving energy and decreasing loss scheme is brought；
A3, economic benefits indicator B3
Economic benefits indicator refers to power network saving energy and decreasing loss scheme to saving the shadow that electricity, electric grid investment construction cost are saved Ring, 4 first class index of subordinate constitute set C3：
1) Spring Festival holidays electric fee forecast
2) totle drilling cost is investedCalculation formula is as follows：
In formula CI represent first cost of investment, CO represent O＆M cost, CM represent repair and maintenance cost, CF represent failure into Originally, CD represents retired cost of disposal；
3) the year equivalent indicator of costs
4) rate of return on total investmentRepresent full production capacity period normal year year IBTT or the operation phase cease pre-tax profit every year Profit accounts for the percentage of general item investment, is traditional economy index；
B, the weight based on each level index of analytic hierarchy process (AHP) calculating：
The weight of each index set is calculated in the present invention using analytic hierarchy process (AHP), 4 weight matrix are had, it is specific to represent For：
W in formulaiFor two-level index BiThe weight matrix of subordinate's first class index,For indexCorresponding weight, j=1,2, 3,4；
W in formula4The weight matrix of two-level index set is represented,For index BiCorresponding weight, i=1,2,3；
Specific calculation procedure is as follows：
(1) scaling system is chosen
The present invention uses exponential scale system, and its core concept is " equidistant classification, wait than assignment ", is felt according to expert's subjectivity It is in ratio relation between the adjacent two-stage of importance by judging the grade that is divided into of the gaps such as the importance of index.Table 1 is scale system System：
The scaling system of table 1
Difference No less important It is somewhat important It is substantially important It is extremely important It is strong important
Importance series 0 grade 1 grade 2 grades 3 grades 4 grades
Importance scale value t0=1 t1=1.732 t2=3 t3=5.194 t4=9
In table, t=1.732；
(2) judgment matrix is calculated
Two-level index B is set up according to an expert viewi, the corresponding judgment matrix A of four first class index of i=1,2,3 subordinatei,i =1,2,3 and two-level index B1,B2,B3Corresponding judgement A4：
Judgment matrix Ai, m row n column elements in i=1,2,3
In formula,Represent,Represent agriculture products according to an expert viewOn indexImportance Series,Represent according to exponential scale system agriculture productsOn indexImportance scale value.
Judgment matrix A4In pth row q column elements
L in formulapq=0,1,2,3,4 represents agriculture products B according to an expert viewpOn index BqImportance series, Represent according to exponential scale system agriculture products BpOn index BqImportance scale value.
(3) uniformity of judgment matrix judges
Due in judgment matrix Ai, i=1,2,3,4 compare to be formed two-by-two by index, it is possible that existing incomparable inconsistent Problem, need to judge its consistency.
Calculate | λ I-Ai|=0, obtain AiEigenvalue of maximum
AiCoincident indicator CIiWith Consistency Ratio CRi：
In formula, RIiFor coincident indicator, niRI when=3i=0.58, niRI when=4i=0.90；Work as CRiDuring ＜ 0.1, recognize For AiUniformity is met, weight matrix calculating is carried out；Work as CRiDuring ＞ 0.1, A is changed by experti, then uniformity judgement is carried out, directly To AiMeet uniformity；
(4) parameter weight matrix
According to judgment matrix AiParameter weight matrix Wi, i=1,2,3,4.
According toCalculate maximal eigenvectorN=3,4 is judgment matrix pair in formula The dimension answered.
By QiIt is normalized and obtains weight matrixCalculation formula is：
In formula,For judgment matrix AiThe corresponding weight of j-th of index in correspondence index set.
C, agriculture products evaluation point set and first class index evaluation index value set
The present invention uses level Four comment.By all first class indexTwo-level index Bk, k=1, 2,3 points are 4 opinion ratings, respectively 1 grade from low to high, 2 grades, 3 grades, 4 grades.To all indexs, each grade provides evaluation point Set E：
E=(e1,e2,e3,e4)
E in formula1=1 represents the corresponding scoring of 1 grade of opinion rating, e2=4 represent the corresponding scoring of 2 grades of opinion rating, e3= 7 represent the corresponding scoring of 3 grades of opinion rating, e4=10 represent the corresponding scoring of 4 grades of opinion rating.Table 2 is commented for all indexs Valency grade and its corresponding evaluation point：
The metrics evaluation grade of table 2 and corresponding evaluation point
Opinion rating 1 grade 2 grades 3 grades 4 grades
Evaluate and divide e1=1 e1=4 e1=7 e1=10
According to expert judgments, index is provided respectivelyEvaluation index value set
In formulaRepresent index1 grade of opinion rating correspondence desired value,Represent index2 grades of opinion rating it is right Answer desired value,Represent index3 grades of opinion rating correspondence desired values,Represent index4 grades of correspondences of opinion rating refer to Scale value.Table 3 is the corresponding desired value of each opinion rating of all first class index：
The corresponding desired value of each opinion rating of the first class index of table 3
D, the overall merit based on Fuzzy Comprehensive Method progress scheme are calculated, and determine the Fuzzy comprehensive evalution N of scheme：
The overall merit of scheme is carried out in the present invention using Fuzzy Comprehensive Method, is concretely comprised the following steps：
First order calculation indexMembership vector, Fig. 5 be first class index degree of membership letter Number.
(1)
Each metrics evaluation result that membership function is used to calculate estimated plan is subordinate to journey for index evaluation approach Degree, the purpose is to the membership vector for obtaining to be mapped to each metrics evaluation result in each opinion rating.According to degree of membership Function first order calculation indexMembership vector
In formula,Represent estimated plan on indexTo the degree of membership of opinion rating 1,Represent that estimated plan is closed In indexTo the degree of membership of opinion rating 2,Represent estimated plan on indexTo the degree of membership of opinion rating 3, Represent estimated plan on indexTo the degree of membership of evaluation etc. 4, For indexFuzzy micro-judgment value,Implement for saving energy and decreasing loss scheme Index afterwardsEvaluation result.
(2) two-level index B is calculatedi, i=1,2,3 subordinated-degree matrix
By two-level index BiThe membership vector of subordinate's first class index, which combines, obtains corresponding subordinated-degree matrix Ri：
In formula,Refer to first class indexMembership vector,Refer to first class indexMembership vector,Refer to First class indexMembership vector,Refer to first class indexMembership vector.
(3) two-level index B is calculatedi, i=1,2,3 Fuzzy comprehensive evalution
The fuzzy overall evaluation of two-level index is to carry out fuzzy overall evaluation to each two-level index.B is calculated firstiMould Paste overall merit collection Si, formula is：
In formula,Represent BiOn the degree of membership of opinion rating 1,Represent BiOn the degree of membership of opinion rating 2,Represent BiOn the degree of membership of opinion rating 3,Represent BiDegree of membership on opinion rating 4.
Then B is calculatediFuzzy comprehensive evalutionFormula is：
The higher saving energy and decreasing loss scheme being evaluated that represents is in two-level index BiIt is better that representative aspect is showed.
(4) Fuzzy comprehensive evalution of estimated plan is calculated
Scheme entirety fuzzy overall evaluation is set up on the basis of one-level fuzzy overall evaluation, is referred to first according to 3 two grades Target fuzzy overall evaluation collection Si, i=1,2,3 is into the total subordinated-degree matrix R of estimated plan4, calculation formula is：
The fuzzy overall evaluation collection S of estimated plan4Calculation formula is：
In formula,For degree of membership of the estimated plan to opinion rating 1,For estimated plan being subordinate to opinion rating 2 Degree,For degree of membership of the estimated plan to opinion rating 3,For degree of membership of the estimated plan to opinion rating 4.
The calculation formula for being evaluated the Fuzzy comprehensive evalution N of saving energy and decreasing loss scheme is：
The saving energy and decreasing loss scheme integral level that the higher representatives of N are evaluated is higher.
Embodiment described above only expresses one embodiment of the present invention, and it describes more specific and detailed, but simultaneously Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that coming for one of ordinary skill in the art Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.

Claims (1)

1. a kind of power network saving energy and decreasing loss schemes synthesis evaluation method, it is characterised in that this method is comprised the steps of：
A, set up assessment indicator system
A1, social benefit index B1
Loss of outageThe capacity of new energy access systemNew energy electricity volumeRate of qualified voltage
Loss of outage
<mrow> <msubsup> <mi>C</mi> <mn>1</mn> <mn>1</mn> </msubsup> <mo>=</mo> <mi>E</mi> <mi>E</mi> <mi>N</mi> <mi>S</mi> <mo>&amp;CenterDot;</mo> <mi>G</mi> <mo>/</mo> <mi>E</mi> </mrow>
G represents power network location year GDP values in formula, and EENS represents power network location year expected loss of energy, and E is power network The total delivery in location year；
The capacity of new energy access system
Refer to the generating capacity of the new energy access system such as water power in the period of accounting, wind-powered electricity generation, solar power generation；
New energy electricity volume
Refer to new energy electricity volume in the period of accounting；
Rate of qualified voltage
<mrow> <msubsup> <mi>C</mi> <mn>4</mn> <mn>1</mn> </msubsup> <mo>=</mo> <mn>0.5</mn> <mi>b</mi> <mo>+</mo> <mn>0.5</mn> <mrow> <mo>(</mo> <mi>c</mi> <mo>+</mo> <mi>d</mi> <mo>+</mo> <mi>e</mi> <mo>)</mo> </mrow> <mo>/</mo> <mi>n</mi> </mrow>
B in formula, c, d, e represent the rate of qualified voltage of four class voltage monitoring points in power network respectively, and b classes monitoring point represents the confession of band area Each section of busbar voltage of the transformer station of electric load and 20kV, 10kV or the 6kV in power plant, c classes monitoring point represents 35kV, 20kV special lines With 110kV and above user terminal supply voltage, d classes monitoring point represents the non-special lines of 35kV and 20kV and 10kV or 6kV user terminals Supply voltage, e classes monitoring point represents 380/220V secondary networks and user terminal supply voltage, and n represents that c, d and e class monitoring point are total Number；
A2, energy-saving and emission-reduction index B2
Reduce dusty gas discharge capacityReduce fossil energy consumption mark coal amountThe treatment cost value of pollutant emission reductionTheoretical network loss reduced rate
Reduce dusty gas discharge capacity
Reduce fossil energy consumption mark coal amount
The treatment cost value index of pollutant emission reduction
Theoretical network loss reduced rate index
Refer to implement the network loss reduced rate that saving energy and decreasing loss scheme is brought；
A3, economic benefits indicator B3
The Spring Festival holidays electricity charge are usedInvest totle drilling costYear equivalent indicator of costsRate of return on total investment index
The Spring Festival holidays electricity charge are used
Invest totle drilling cost
In formula CI represent first cost of investment, CO represent O＆M cost, CM represent repair and maintenance cost, CF represent failure cost, CD represents retired cost of disposal；
Year equivalent indicator of costs
Rate of return on total investment index
Refer to full production capacity period normal year year IBTT or operation phase average annual IBTT account for the percentage of general item investment Than being traditional economy index；
B, the weight based on each level index of analytic hierarchy process (AHP) calculating
B1, selection exponential scale system
Importance graduation in step a between each index is determined by expert, the importance scale value of adjacent two-stage is closed in ratio System；
Table 1：Scaling system
In table, t=1.732；
B2, development of judgment matrix
Judgment matrix Ai, m row n column elements in i=1,2,3M=1,2,3,4；N=1,2,3,4：
<mrow> <msubsup> <mi>a</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> <mi>i</mi> </msubsup> <mo>=</mo> <msup> <mi>t</mi> <msubsup> <mi>k</mi> <mrow> <mi>m</mi> <mi>n</mi> </mrow> <mi>i</mi> </msubsup> </msup> </mrow>
In formula,The index determined by expertFor indexImportance series,For with importance SeriesCorresponding importance scale value；
Judgment matrix A4In pth row q column elementsP=1,2,3, q=1,2,3：
<mrow> <msubsup> <mi>a</mi> <mrow> <mi>p</mi> <mi>q</mi> </mrow> <mn>4</mn> </msubsup> <mo>=</mo> <msup> <mi>t</mi> <msub> <mi>l</mi> <mrow> <mi>p</mi> <mi>q</mi> </mrow> </msub> </msup> </mrow>
In formula, lpq=0,1,2,3,4 is index B determined by expertpOn index BqImportance series,For with importance Series lpqCorresponding importance scale value；
B3, the uniformity of judgment matrix judge
According to | λ I-Ai|=0 calculates AiCharacteristic valueJ=1,2, ... ni,niFor AiDimension, obtain eigenvalue of maximum
AiCoincident indicator CIiWith Consistency Ratio CRi：
<mrow> <msup> <mi>CI</mi> <mi>i</mi> </msup> <mo>=</mo> <mfrac> <mrow> <msubsup> <mi>&amp;lambda;</mi> <mi>max</mi> <mi>i</mi> </msubsup> <mo>-</mo> <msup> <mi>n</mi> <mi>i</mi> </msup> </mrow> <mrow> <msup> <mi>n</mi> <mi>i</mi> </msup> <mo>-</mo> <mn>1</mn> </mrow> </mfrac> </mrow>
<mrow> <msup> <mi>CR</mi> <mi>i</mi> </msup> <mo>=</mo> <mfrac> <mrow> <msup> <mi>CI</mi> <mi>i</mi> </msup> </mrow> <mrow> <msup> <mi>RI</mi> <mi>i</mi> </msup> </mrow> </mfrac> </mrow> 2
In formula, RIiFor coincident indicator, niRI when=3i=0.58, niRI when=4i=0.90；Work as CRiDuring ＜ 0.1, it is believed that AiIt is full Sufficient uniformity, carries out weight matrix calculating；Work as CRiDuring ＞ 0.1, A is changed by experti, then uniformity judgement is carried out, until AiIt is full Sufficient uniformity；
B4, parameter weight matrix
According toI=1,2,3,4 calculates maximal eigenvectorN=3,4 is judgement in formula The corresponding dimension of matrix；
To QiIt is normalized, obtains weight matrixCalculation formula is：
<mrow> <msubsup> <mi>w</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>=</mo> <mfrac> <msubsup> <mi>q</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msubsup> <mi>q</mi> <mi>j</mi> <mi>i</mi> </msubsup> </mrow> </mfrac> </mrow>
In formula,For judgment matrix AiThe corresponding weight of j-th of index in correspondence index set；
C, determine power network saving energy and decreasing loss schemes synthesis evaluate middle finger target Comment gathers：
Point set of c1, metrics evaluation
By all first class indexI=1,2,3, j=1,2,3,4, two-level index Bk, k=1,2,3 points are 4 opinion ratings, from Low to high is respectively 1 grade, 2 grades, 3 grades, 4 grades；Evaluation point set E is provided to each grade：
E=(e1,e2,e3,e4)
E in formula1=1 is the corresponding scoring of 1 grade of opinion rating, e2=4 be the corresponding scoring of 2 grades of opinion rating, e3=7 be evaluation The corresponding scoring of 3 grades of grade, e4=10 be the corresponding scoring of 4 grades of opinion rating；
C2, first class index evaluation index value set
Provide indexEvaluation index value set
<mrow> <msubsup> <mi>V</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>=</mo> <mrow> <mo>(</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> <mo>)</mo> </mrow> </mrow>
In formulaRepresent index1 grade of opinion rating correspondence desired value,Represent index2 grades of opinion rating correspondence indexs Value,Represent index3 grades of opinion rating correspondence desired values,Represent index4 grades of opinion rating correspondence desired values, These parameters value is determined by expert；
D, the overall merit based on Fuzzy Comprehensive Method progress scheme are calculated, and determine the Fuzzy comprehensive evalution N of scheme：
D1, first order calculation index membership vector
First class indexMembership vectorI=1,2,3, j=1,2,3,4 calculation formula are：
<mrow> <msubsup> <mi>r</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <mrow> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow> 3
<mrow> <msubsup> <mi>r</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <mrow> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>1</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
<mrow> <msubsup> <mi>r</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <mrow> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msub> <mi>u</mi> <mi>i</mi> </msub> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <mrow> <mfrac> <mrow> <msub> <mi>u</mi> <mi>i</mi> </msub> <mo>-</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
<mrow> <msubsup> <mi>r</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mfrac> <mrow> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> </mrow> <mrow> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> <mo>-</mo> <msubsup> <mi>V</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mfrac> <mo>,</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>3</mn> </mrow> <mi>i</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>1</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&amp;GreaterEqual;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>4</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> <msubsup> <mi>u</mi> <mi>j</mi> <mi>i</mi> </msubsup> <mo>&lt;</mo> <msubsup> <mi>&amp;xi;</mi> <mrow> <mi>j</mi> <mn>2</mn> </mrow> <mi>i</mi> </msubsup> </mrow> </mtd> </mtr> </mtable> </mfenced> </mrow>
In formula,Represent estimated plan on indexTo the degree of membership of opinion rating 1,Represent estimated plan on referring to MarkTo the degree of membership of opinion rating 2,Represent estimated plan on indexTo the degree of membership of opinion rating 3,Represent Estimated plan is on indexTo the degree of membership of evaluation etc. 4, For indexFuzzy micro-judgment value；
D2, the subordinated-degree matrix for calculating two-level index
By two-level index Bi, the membership vector of i=1,2,3 subordinate's first class index, which combines, obtains its corresponding degree of membership square Battle array Ri：
<mrow> <msup> <mi>R</mi> <mi>i</mi> </msup> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msubsup> <mi>R</mi> <mn>1</mn> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <msubsup> <mi>R</mi> <mn>2</mn> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <msubsup> <mi>R</mi> <mn>3</mn> <mi>i</mi> </msubsup> </mtd> </mtr> <mtr> <mtd> <msubsup> <mi>R</mi> <mn>4</mn> <mi>i</mi> </msubsup> </mtd> </mtr> </mtable> </mfenced> </mrow>
In formula,Refer to first class indexMembership vector,Refer to first class indexMembership vector,Refer to one-level IndexMembership vector,Refer to first class indexMembership vector；
D3, calculating two-level index BiFuzzy comprehensive evalution
Two-level index BiFuzzy overall evaluation collection Si, i=1,2,3, calculation formula is：
<mrow> <msup> <mi>S</mi> <mi>i</mi> </msup> <mo>=</mo> <msup> <mi>W</mi> <mi>i</mi> </msup> <mo>&amp;CenterDot;</mo> <msup> <mi>R</mi> <mi>i</mi> </msup> <mo>=</mo> <mo>&amp;lsqb;</mo> <msubsup> <mi>s</mi> <mn>1</mn> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>2</mn> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>3</mn> <mi>i</mi> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>4</mn> <mi>i</mi> </msubsup> <mo>&amp;rsqb;</mo> </mrow> 4
In formula,Represent BiOn the degree of membership of opinion rating 1,Represent BiOn the degree of membership of opinion rating 2,Represent BiClose In the degree of membership of opinion rating 3,Represent BiDegree of membership on opinion rating 4；
BiFuzzy comprehensive evalutionCalculation formula is：
<mrow> <msub> <mover> <mi>S</mi> <mo>~</mo> </mover> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>p</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>4</mn> </munderover> <msubsup> <mi>s</mi> <mi>p</mi> <mi>i</mi> </msubsup> <mo>&amp;CenterDot;</mo> <msub> <mi>e</mi> <mi>i</mi> </msub> </mrow>
The higher saving energy and decreasing loss scheme being evaluated that represents is in two-level index BiIt is better that representative aspect is showed；
D4, the Fuzzy comprehensive evalution for calculating estimated plan
The total subordinated-degree matrix R of evaluation of programme4, specific formula is：
<mrow> <msup> <mi>R</mi> <mn>4</mn> </msup> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msup> <mi>S</mi> <mn>1</mn> </msup> </mtd> </mtr> <mtr> <mtd> <msup> <mi>S</mi> <mn>2</mn> </msup> </mtd> </mtr> <mtr> <mtd> <msup> <mi>S</mi> <mn>3</mn> </msup> </mtd> </mtr> </mtable> </mfenced> </mrow>
The fuzzy overall evaluation collection S of estimated plan4Calculation formula is：
<mrow> <msup> <mi>S</mi> <mn>4</mn> </msup> <mo>=</mo> <msup> <mi>W</mi> <mn>4</mn> </msup> <mo>&amp;CenterDot;</mo> <msup> <mi>R</mi> <mn>4</mn> </msup> <mo>=</mo> <mo>&amp;lsqb;</mo> <msubsup> <mi>s</mi> <mn>1</mn> <mn>4</mn> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>2</mn> <mn>4</mn> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>3</mn> <mn>4</mn> </msubsup> <mo>,</mo> <msubsup> <mi>s</mi> <mn>4</mn> <mn>4</mn> </msubsup> <mo>&amp;rsqb;</mo> </mrow>
In formula,For degree of membership of the estimated plan to opinion rating 1,For degree of membership of the estimated plan to opinion rating 2,For degree of membership of the estimated plan to opinion rating 3,For degree of membership of the estimated plan to opinion rating 4；
The calculation formula for being evaluated the Fuzzy comprehensive evalution N of saving energy and decreasing loss scheme is：
<mrow> <mi>N</mi> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>4</mn> </munderover> <msubsup> <mi>s</mi> <mi>i</mi> <mn>4</mn> </msubsup> <mo>&amp;CenterDot;</mo> <msub> <mi>e</mi> <mi>i</mi> </msub> <mo>.</mo> </mrow> 5
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