CN108288170A - A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) - Google Patents
A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) Download PDFInfo
- Publication number
- CN108288170A CN108288170A CN201711287866.5A CN201711287866A CN108288170A CN 108288170 A CN108288170 A CN 108288170A CN 201711287866 A CN201711287866 A CN 201711287866A CN 108288170 A CN108288170 A CN 108288170A
- Authority
- CN
- China
- Prior art keywords
- demand side
- side response
- ahp
- analytic hierarchy
- hierarchy process
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000011156 evaluation Methods 0.000 title claims abstract description 20
- 230000000694 effects Effects 0.000 claims abstract description 21
- 238000013210 evaluation model Methods 0.000 claims abstract description 9
- 239000011159 matrix material Substances 0.000 claims description 31
- 238000011002 quantification Methods 0.000 claims description 4
- 238000004335 scaling law Methods 0.000 claims description 4
- 230000000052 comparative effect Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 2
- 238000011161 development Methods 0.000 abstract description 4
- 238000004458 analytical method Methods 0.000 description 11
- 230000008901 benefit Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 238000003012 network analysis Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000013441 quality evaluation Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The evaluation method for the Demand Side Response project based on analytic hierarchy process (AHP) that the present invention relates to a kind of, includes the following steps：S1, all kinds of Indexes of Value Assessment of Demand Side Response project implementation effect are passed through into analytic hierarchy process (AHP) constitution and implementation Evaluation Model on Effectiveness；S2, tasting results are shown to top right vector by seeking the evaluation model bottom；The Indexes of Value Assessment of the Demand Side Response project implementation effect includes Generation Side, grid side, large user, resident and the whole society.Compared with prior art, the present invention contributes to the decision of Demand Side Response project, the effect of supervision and check Demand Side Response implementation, summarizes between Demand Side Response work before, the comparison of Demand Side Response implementation achievement, the comparison of same city Demand Side Response project implementation effect in different time periods different cities, the further development of advantageous Demand Side Response work.
Description
Technical field
The present invention relates to electricity markets and economic field, more particularly, to a kind of Demand Side Response based on analytic hierarchy process (AHP)
The evaluation method of project.
Background technology
With the development of Demand Side Response, Demand Side Response is gradually demonstrated in the form of a kind of resource in the visual field of people,
It possesses resource value similar with Generation Side resource, can be used for alleviating energy crisis, stablizes electricity price, power grid shifting peak is pushed to fill out
The effects that paddy, the on-road efficiency that power load fluctuation can also be reduced, improve power grid.
All the time, people never stopped the research of Demand Side Response with practice, and achieved good effect.
There is Demand Side Response resource certain value, this resource value to refer to that Demand Side Response project application is transported in electric system
Generated effect and influence in row include the raising etc. of the load of transfer, the capacity avoided, security reliability, fill
Divide and consider the effect of various aspects and influence caused by Demand Side Response, using scientific and effective method to Demand Side Response item
The effect that mesh is implemented is appraised through comparison.
Analytic hierarchy process (AHP) is that element related with decision is resolved into the levels such as target, criterion, scheme, on this basis into
The decision-making technique of capable qualitative and quantitative analysis.Number is used in combination in the policy-making thought procedure level of people, quantification, modelling by it
It learns to do section and provides quantitative foundation for analysis, decision, be a kind of method that quantitative analysis is carried out to non-quantitation event, this method is suitable
For the Analysis of Policy Making of multiple criteria, multiple target or challenge without structure feature, it is widely used in administrative evaluation, economic development ratio
Compared with, resource planning analysis, Accident Causes Analysis, human quality evaluation and security and economy analysis etc..
The advantages of analytic hierarchy process (AHP) includes：Systematicness：By object depending on doing system, according to decomposing, compare, judge, integrate
The mode of thinking carries out decision.It is the important tool of the network analysis to grow up after Analysis on Mechanism, network analysis；It is practical
Property：Qualitative and quantitative combines, and can handle the practical problem that can not be much set about with traditional Techniques of Optimum, application range is very
Extensively, meanwhile, this method enables policymaker to communicate with each other with Analysis of Policy Making person, and policymaker even can directly apply it,
This adds increased the validity of decision；Terseness：Simplicity is calculated, as a result clear, application person can easily understand analytic hierarchy process (AHP)
Basic principle and grasp the basic step of the method.
But analytic hierarchy process (AHP) has the following disadvantages：It limits old：Original scheme can only be compared, obtain most the superior, do not have
There is method to obtain better new departure；Roughly：The calculating process of comparison, judgement and result in this method is all relatively rough
, it is not suitable for the higher problem of precision；It is subjective：From hierarchy Model is established to providing pairwise comparison matrix, people's subjectivity because
Influence of the element to whole process is very big, this allows for result and all policymaker is made it difficult for receive.
It is at the early-stage to the research of Demand Side Response project appraisal at this stage, suitable China's actual conditions, more comprehensive,
The evaluation method of authority does not occur also.Therefore how binding hierarchy analytic approach, which builds scientific and reasonable evaluation model, is rung Demand-side
It is the technical issues of still needing to solve at this stage to answer project appraisal to carry out research.
Invention content
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind being based on step analysis
The evaluation method of the Demand Side Response project of method.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP), includes the following steps：
S1, all kinds of Indexes of Value Assessment of Demand Side Response project implementation effect are imitated by analytic hierarchy process (AHP) constitution and implementation
Fruit evaluation model；
S2, tasting results are shown to top right vector by seeking the evaluation model bottom.
Preferably, the Indexes of Value Assessment of the Demand Side Response project implementation effect includes Generation Side, grid side, big use
Family, resident and the whole society.
Preferably, the step S1 is specifically included：
S11, hierarchical structure model is established；
S12, Judgement Matricies；
The consistency check of S13, Mode of Level Simple Sequence and judgment matrix；
S14, total hierarchial sorting and its consistency check.
Preferably, the step S12 is specifically included：
Each factor for being subordinated to last layer is compared two-by-two, compares its significance level for criterion, and press
Defined scale quantification in advance constitutes judgment matrix；The numerical value of each element is determined using 1~9 scaling law in judgment matrix.
Preferably, the middle-level single sequences of the step S13 specifically include：
Calculate the maximum eigenvalue λ of judgment matrixmax, seek maximum eigenvalue λmaxCorresponding feature vector, through normalization
Processing obtains the weights of each factor in same layer for certain factor relative importance of last layer time；
The consistency check of the judgment matrix includes that coincident indicator is examined and consistency ration inspection, the consistency
Index is：
Wherein, n is the number of pairs of comparative factor；
The consistency ration is：
Wherein, RI is random index.
Preferably, the middle-level total sequences of the step S14 specifically include：
Calculate weights of all factors of a certain layer for top relative importance successively from highest level to lowest level,
If B layers of n element B of solution layer1,B2,…,Bn, B layers of total hierarchial sorting is：
B1:a1b11+a2b12+...amb1m
B2:a1b21+a2b22+...amb2m
...
Bn:a1bn1+a2bn2+...ambnm
Wherein, a1,a2,…,amSequence for A layers of m factor of rule layer to target Z, b1j,b2j,…,bmjIndicate B layers of member
Element is to factor A in the A of upper layerjMode of Level Simple Sequence, j=1,2 ..., m；
The consistency check of the total hierarchial sorting includes that consistency ratio is examined, and the consistency ratio is：
Wherein, CIjIndicate the coincident indicator of the B layers of Mode of Level Simple Sequence to A j-th of element of layer, RIjB layers are indicated to A layers
The Mode of Level Simple Sequence random index of j-th of element.
Compared with prior art, the present invention obtains Indexes of Value Assessment from benefit angle, builds based on analytic hierarchy process (AHP)
The model of Demand Side Response project implementation effect assessment contributes to the decision of Demand Side Response project, supervision and check Demand-side to ring
The effect that should implement, summarize between Demand Side Response work before, different cities Demand Side Response implementation achievement ratio
Compared with the comparison of, same city Demand Side Response project implementation effect in different time periods, advantageous Demand Side Response work into one
Step is carried out.
Description of the drawings
Fig. 1 is three layers of hierarchy Model of analytic hierarchy process (AHP)；
Fig. 2 is that the embodiment of the present invention two is referred to based on five Generation Side, grid side, large user, resident, whole society value assessments
Mark the hierarchy Model of the Demand Side Response project of structure.
Specific implementation mode
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
Embodiment one
A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) utilizes Generation Side, grid side, big use
Family, resident, the whole society Indexes of Value Assessment of the evaluation index as Demand Side Response implementation result, using analytic hierarchy process (AHP) ratio
Compared with the implementation result of Demand Side Response, to select optimal Demand Side Response project, it to be used for tomorrow requirement side response item purpose
Decision first evaluates kinds of schemes before the Demand Side Response project implementation, selects optimal scheme and implements.This method
Include the following steps：
S1, all kinds of Indexes of Value Assessment of Demand Side Response project implementation effect are imitated by analytic hierarchy process (AHP) constitution and implementation
Fruit evaluation model；
S2, tasting results are shown to top right vector by seeking the evaluation model bottom.
According to the different response modes of user, Demand Side Response can be divided into and respond and be based on based on price demand side
The Demand Side Response of excitation.The either still Demand Side Response measure based on excitation of the Demand Side Response measure based on price,
In specific implementation process, effect mainly on the basis of ensureing system operation reliability, reduces power grid peak load and then carries
The economy of high entire electric system and ensure its safety, therefore the value of Demand-side resource can be embodied in user comprehensively
In side, supply side, Generation Side and entire society, user side can be divided into large user and resident again；Finally examined from benefit angle
Worry determines five evaluation indexes：Generation Side, grid side, large user, resident, the whole society evaluation index.
Step S1 is specifically included：
S11, hierarchical structure model is established；
S12, Judgement Matricies；
The consistency check of S13, Mode of Level Simple Sequence and judgment matrix；
S14, total hierarchial sorting and its consistency check.
Step S11 structure hierarchy Models are a steps of key, to have main decision-making level to participate in, build in pairs relatively square
Battle array, is the quantity foundation of analytic hierarchy process (AHP), should be provided by experienced, good sense expert.Build step analysis structure mould
Type is mainly the factor and its correlation that problem analysis is included, by related each factor according to different attributes from upper and
Several levels are resolved into lowerly.The factors of same level are subordinated to the factor of last layer or have an impact to upper layer factor, simultaneously
Next layer of factor is dominated again or is acted on by next layer of factor.Hierarchical structure is commonly divided into top, middle layer and most bottom
Layer.
It is top：Destination layer, the purpose that expression solves the problems, such as, i.e. step analysis general objective to be achieved, usually only one
A general objective.
Middle layer：Rule layer, indicator layer, expression take certain measure, policy, scheme etc. to realize involved by predetermined general objective
Intermediate link, be generally divided into as rule layer, indicator layer, strategic layer, restraint layer etc..
The bottom：Solution layer indicates available various measures, policy, scheme solved the problems, such as etc., usually has multiple sides
Case is optional.
The problem of analytic hierarchy process (AHP) will solve the problems, such as is about the bottom to top combining weights, by this relative weighting
Various project and measures in the bottom can be ranked up, to make a choice or be formed selection scheme in different schemes
Principle.
Step S12 Judgement Matricies refer in hierarchical structure, and each factor for being subordinated to last layer carries out two
Two compare, and compare its significance level for criterion, and by defined scale quantification in advance, constitute matrix form, that is, judge
Matrix.The numerical value of each element is generally determined using 1~9 scaling law in judgment matrix, using scaling law, reduces property as far as possible
The difficulty that different factors are compared to each other, improves accuracy, and the Scale Method of judgment matrix element is as shown in table 1 below.
The Scale Method of 1 judgment matrix of table
| Scale | Meaning |
| 1 | Two factors are compared, and have no less important |
| 3 | Two factors are compared, and one slightly more important than another |
| 5 | Two factors are compared, and one apparent more important than another |
| 7 | Two factors are compared, and one strong more important than another |
| 9 | Two factors are compared, and one more extremely important than another |
| 2,4,6,8 | The intermediate value of above-mentioned two adjacent judgement |
The key of the middle-level single sequences of step S13 is the relative weighting for calculating each factor of judgment matrix and being directed to its criterion.It is first
First calculate the maximum eigenvalue λ of judgment matrixmax, then seek maximum eigenvalue λmaxCorresponding characteristic vector W, at normalization
Reason, obtained result be in same layer each factor for the weights of last layer time certain factor relative importance.
For three layers of hierarchy Model, Fig. 1 is seen, the Mode of Level Simple Sequence result sought is as follows：Rule layer A layers m because
Plain A1,A2,…,Am, a is ordered as to target Z1,a2,…,am, B layers of n element of solution layer are to factor A in the A of upper layerjLevel
Singly it is ordered as b1j,b2j,…,bmj, j=1,2 ..., m.
The consistency of judgment matrix satisfaction generally is required in practice, then needs to carry out consistency check to it.So-called one
Whether it refers to test and judge matrix within inconsistent allowable range that cause property is examined, and only by examining, could illustrate to judge
Matrix is logically reasonable, and could continue to analyze result.Consistency check is carried out to judgment matrix, including consistent
Property index test and consistency ration examine, coincident indicator is：
Wherein, CI is coincident indicator, and n is the number of pairs of comparative factor；CI=0 has complete consistency；CI is close
0, there is satisfied consistency, CI is bigger, and inconsistency is more serious.
Consistency ration is：
Wherein, CR is consistency ration.Work as CR<When 0.1, it is believed that the consistency of judgment matrix is acceptable, otherwise
Reply judgment matrix is unsatisfactory for consistency check and needs to make appropriate correct.RI is random index, and numerical value can table look-up 2 really
It is fixed.
2 random index RI values of table
| Exponent number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| RI | 0 | 0 | 0.58 | 0.89 | 1.12 | 1.36 | 1.41 | 1.46 | 1.46 |
The middle-level total sequences of step S14 specifically include：
Calculate weights of all factors of a certain layer for top relative importance successively from highest level to lowest level,
If B layers of n element B of solution layer1,B2,…,Bn, B layers of total hierarchial sorting is：
B1:a1b11+a2b12+...amb1m
B2:a1b21+a2b22+...amb2m
...
Bn:a1bn1+a2bn2+...ambnm
That is B i-th of factor of layer be to the weights of general objectiveWherein, a1,a2,…,amFor rule layer A layers m because
Sequence of the element to target Z, b1j,b2j,…,bmjIndicate B layers of element to factor A in the A of upper layerjMode of Level Simple Sequence, j=1,2 ...,
m。
The consistency check of total hierarchial sorting includes that consistency ratio is examined, and consistency ratio is：
Wherein, CIjIndicate the coincident indicator of the B layers of Mode of Level Simple Sequence to A j-th of element of layer, RIjB layers are indicated to A layers
The Mode of Level Simple Sequence random index of j-th of element.
Work as CR<When 0.1, it is believed that total hierarchial sorting passes through consistency check.Total hierarchial sorting has satisfied consistency, no
Then need to readjust the element value of the higher judgment matrix of those consistency ratios.So far, most stratum is to top layer
Secondary total sequence terminates.
Embodiment two
The present embodiment is based on Generation Side, grid side, large user, resident, five evaluation indexes of the whole society and 2013~2015
The hierarchical structure evaluation model of the scheme constructs demand response project decision in year, as shown in Figure 2.
It is analyzed and is discussed by seminar teacher expert, construct the pairwise comparison matrix of demand response project decision, first structure
Make about Generation Side, grid side, large user, resident, the whole society pairwise comparison matrix, i.e. judgment matrix AP.
The maximum eigenvalue λ of APmax=5.19, corresponding feature vector is：
W(2)=(0.3489,0.3329,0.1216,0.0989,0.0976)T
Coincident indicator：CI=(5.19-5)/(5-1)=0.0475,2 random indexes that can obtain exponent number 5 of tabling look-up
RI=1.12, consistency ratio CR=0.0475/1.12=0.042<0.1, pass through consistency check.
Similarly, 2013,2014,2015 years sentence about Generation Side, grid side, large user, resident, whole society's five indices
Disconnected matrix is：
The corresponding feature vector of the maximum eigenvalue of each attribute, characteristic value such as 3 institute of table can be obtained according to the method for the second layer
Show.
The maximum eigenvalue of 3 each attribute of table
| Index | Generation Side | Grid side | Large user | Resident | The whole society |
| λmax | 3.0183 | 3.0649 | 3.0055 | 3.0713 | 3.0536 |
Characteristic vector W(3)For
Pass through consistency check；Third layer is as shown in table 4 to the result of calculation of the second layer.
Result of calculation of 4 third layer of table to the second layer
Total hierarchial sorting and consistency check：
W=W(3)×W(2)
CI=CIj×W(2)=0.01073 ＜ 0.1
RI=0.58, CR=CI/RI=0.01073/0.58=0.0185 when exponent number known to 2 of tabling look-up is 3<0.1 passes through one
Cause property is examined, then by the result of W it is found that Demand Side Response project implementation effect comparison result in 3 years in 2013,2014,2015
It is 2014>2013>2015.
It can be seen that this method judges the implementation result of Demand Side Response using analytic hierarchy process (AHP), pass through assay
The index of Demand Side Response implementation result considers from benefit angle, has obtained Generation Side, grid side, large user, resident, Quan She
Five indices can be total to.Then, understand the use principle of analytic hierarchy process (AHP), suitable application area and feature.Determine that analytic hierarchy process (AHP) can be with
In comparative analysis for Demand Side Response implementation result.Finally, it is real to establish the Demand Side Response project based on analytic hierarchy process (AHP)
Apply the model that effect compares, by the bottom to top right vector evaluation as a result, obtain 2013,2014
Year, continuous 3 years implementation results in 2015 be 2014 preferably, secondly 2015 are worst within 2013, this comparison result can be with
Development for the work of following Demand Side Response provides reference.
Claims (6)
1. a kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP), which is characterized in that include the following steps：
S1, all kinds of Indexes of Value Assessment of Demand Side Response project implementation effect are commented by analytic hierarchy process (AHP) constitution and implementation effect
Valence model；
S2, tasting results are shown to top right vector by seeking the evaluation model bottom.
2. a kind of evaluation method of Demand Side Response project based on analytic hierarchy process (AHP) according to claim 1, feature
It is, the Indexes of Value Assessment of the Demand Side Response project implementation effect includes Generation Side, grid side, large user, Ju Minhe
The whole society.
3. a kind of evaluation method of Demand Side Response project based on analytic hierarchy process (AHP) according to claim 1, feature
It is, the step S1 is specifically included：
S11, hierarchical structure model is established；
S12, Judgement Matricies；
The consistency check of S13, Mode of Level Simple Sequence and judgment matrix；
S14, total hierarchial sorting and its consistency check.
4. a kind of evaluation method of Demand Side Response project based on analytic hierarchy process (AHP) according to claim 3, feature
It is, the step S12 is specifically included：
Each factor for being subordinated to last layer is compared two-by-two, compares its significance level for criterion, and by advance
Defined scale quantification constitutes judgment matrix；The numerical value of each element is determined using 1~9 scaling law in judgment matrix.
5. a kind of evaluation method of Demand Side Response project based on analytic hierarchy process (AHP) according to claim 3, feature
It is, the middle-level single sequences of step S13 specifically include：
Calculate the maximum eigenvalue λ of judgment matrixmax, seek maximum eigenvalue λmaxCorresponding feature vector, through normalized,
Obtain the weights of each factor in same layer for certain factor relative importance of last layer time；
The consistency check of the judgment matrix includes that coincident indicator is examined and consistency ration inspection, the coincident indicator
For：
Wherein, n is the number of pairs of comparative factor, λmaxFor the maximum eigenvalue of judgment matrix；
The consistency ration is：
Wherein, RI is random index.
6. a kind of evaluation method of Demand Side Response project based on analytic hierarchy process (AHP) according to claim 3, feature
It is, the middle-level total sequences of step S14 specifically include：
Weights of all factors of a certain layer for top relative importance are calculated successively from highest level to lowest level, if side
B layers of n element B of pattern layer1,B2,…,Bn, B layers of total hierarchial sorting is：
B1:a1b11+a2b12+...amb1m
B2:a1b21+a2b22+...amb2m
...
Bn:a1bn1+a2bn2+...ambnm
Wherein, a1,a2,…,amSequence for A layers of m factor of rule layer to target Z, b1j,b2j,…,bmjIndicate B layers of element pair
Factor A in the A of upper layerjMode of Level Simple Sequence, j=1,2 ..., m；
The consistency check of the total hierarchial sorting includes that consistency ratio is examined, and the consistency ratio is：
Wherein, CIjIndicate the coincident indicator of the B layers of Mode of Level Simple Sequence to A j-th of element of layer, RIjB layers are indicated to j-th of A layers
The Mode of Level Simple Sequence random index of element.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711287866.5A CN108288170A (en) | 2017-12-07 | 2017-12-07 | A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711287866.5A CN108288170A (en) | 2017-12-07 | 2017-12-07 | A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108288170A true CN108288170A (en) | 2018-07-17 |
Family
ID=62831693
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711287866.5A Pending CN108288170A (en) | 2017-12-07 | 2017-12-07 | A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108288170A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934464A (en) * | 2019-02-20 | 2019-06-25 | 山东省农业机械科学研究院 | A kind of water-fertilizer-pesticide decision system and method based on plant life sign |
| CN111754091A (en) * | 2020-06-08 | 2020-10-09 | 深圳供电局有限公司 | Power consumer demand side regulation and control system |
| CN116091206A (en) * | 2023-01-31 | 2023-05-09 | 金电联行（北京）信息技术有限公司 | Credit evaluation method, credit evaluation device, electronic equipment and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140188689A1 (en) * | 2012-12-31 | 2014-07-03 | Battelle Memorial Institute | Distributed hierarchical control architecture for integrating smart grid assets during normal and disrupted operations |
| CN104933629A (en) * | 2015-05-21 | 2015-09-23 | 天津大学 | Power user equipment evaluation method based on interval level analysis and interval entropy combination |
-
2017
- 2017-12-07 CN CN201711287866.5A patent/CN108288170A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140188689A1 (en) * | 2012-12-31 | 2014-07-03 | Battelle Memorial Institute | Distributed hierarchical control architecture for integrating smart grid assets during normal and disrupted operations |
| CN104933629A (en) * | 2015-05-21 | 2015-09-23 | 天津大学 | Power user equipment evaluation method based on interval level analysis and interval entropy combination |
Non-Patent Citations (1)
| Title |
|---|
| 王燕等: ""基于层次分析法的需求侧响应项目实施效果比较"", 《电网与清洁能源》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109934464A (en) * | 2019-02-20 | 2019-06-25 | 山东省农业机械科学研究院 | A kind of water-fertilizer-pesticide decision system and method based on plant life sign |
| CN111754091A (en) * | 2020-06-08 | 2020-10-09 | 深圳供电局有限公司 | Power consumer demand side regulation and control system |
| CN116091206A (en) * | 2023-01-31 | 2023-05-09 | 金电联行（北京）信息技术有限公司 | Credit evaluation method, credit evaluation device, electronic equipment and storage medium |
| CN116091206B (en) * | 2023-01-31 | 2023-10-20 | 金电联行（北京）信息技术有限公司 | Credit evaluation method, credit evaluation device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103577888B (en) | Method for optimization of product design schemes | |
| Wu et al. | Evaluation the drivers of green supply chain management practices in uncertainty | |
| CN104462827B (en) | A kind of flexible couplings method of index weights in overall merit | |
| CN103632203B (en) | A kind of power distribution network division of the power supply area method based on overall merit | |
| CN105938609A (en) | Power grid operation assessment method for realizing multilayer indicator system | |
| CN103400044B (en) | A kind of water environment safety evaluation analysis method of improvement | |
| CN106339779A (en) | Evaluation method for distributed power supply configuration scheme in power distribution network | |
| CN104809660A (en) | Dynamic screening and comprehensive weight setting method for low-voltage transformer area line loss rate analysis indexes | |
| CN106228286A (en) | A kind of data analysing method for the assessment of artificial customer service work quality | |
| CN104021300B (en) | Comprehensive assessment method based on effect of distribution type electrical connection on power distribution network | |
| CN104318482A (en) | Comprehensive assessment system and method of smart distribution network | |
| CN110111024A (en) | Scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation | |
| CN105512465B (en) | Based on the cloud platform safety quantitative estimation method for improving VIKOR methods | |
| CN104102762A (en) | Application of cloud model fuzzy analytical hierarchy process in risk analysis of railway signal system | |
| CN106056235A (en) | Power transmission grid efficiency and benefit detection method based on Klee method and matter element extension model | |
| CN106127388A (en) | The energy efficiency evaluating method of high energy-consuming enterprises | |
| CN107045672A (en) | A kind of evaluation method of community's low carbon levels | |
| CN108288170A (en) | A kind of evaluation method of the Demand Side Response project based on analytic hierarchy process (AHP) | |
| CN105046407B (en) | A kind of power grid and the methods of risk assessment of user's two-way interaction Service Operation pattern | |
| CN105956768A (en) | Power generation enterprise competitiveness evaluation method based on combined weight determining and improved TOPSIS | |
| CN106548272A (en) | A kind of electric automobile fills the evaluation methodology of facility combination property soon | |
| CN101320449A (en) | Power distribution network estimation method based on combination appraisement method | |
| CN106845752A (en) | A kind of extensive extra-high voltage interconnected network receives electric Scale Evaluation system | |
| CN108647869A (en) | Engineering Assessment Method and device | |
| CN106960288A (en) | A kind of electric energy substitutes evaluation method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180717 |
|
| RJ01 | Rejection of invention patent application after publication |