CN107358332A - A kind of dispatching of power netwoks runs lean evaluation method - Google Patents
A kind of dispatching of power netwoks runs lean evaluation method Download PDFInfo
- Publication number
- CN107358332A CN107358332A CN201710350887.0A CN201710350887A CN107358332A CN 107358332 A CN107358332 A CN 107358332A CN 201710350887 A CN201710350887 A CN 201710350887A CN 107358332 A CN107358332 A CN 107358332A
- Authority
- CN
- China
- Prior art keywords
- index
- weight
- expert
- evaluation
- dispatching
- 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
- 238000011156 evaluation Methods 0.000 title claims abstract description 54
- 238000005457 optimization Methods 0.000 claims abstract description 5
- 230000005611 electricity Effects 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 14
- 230000007613 environmental effect Effects 0.000 claims description 11
- 239000011159 matrix material Substances 0.000 claims description 11
- 238000013210 evaluation model Methods 0.000 claims description 10
- MWUXSHHQAYIFBG-UHFFFAOYSA-N Nitric oxide Chemical compound O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 9
- 230000015572 biosynthetic process Effects 0.000 claims description 8
- 238000003786 synthesis reaction Methods 0.000 claims description 8
- 238000009987 spinning Methods 0.000 claims description 7
- 238000012797 qualification Methods 0.000 claims description 6
- 238000007621 cluster analysis Methods 0.000 claims description 3
- 239000003245 coal Substances 0.000 claims description 3
- 230000007812 deficiency Effects 0.000 claims description 3
- 238000010248 power generation Methods 0.000 claims description 3
- 230000001172 regenerating effect Effects 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
- 229910017435 S2 In Inorganic materials 0.000 claims 1
- 238000007726 management method Methods 0.000 description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 2
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011158 quantitative evaluation Methods 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A kind of dispatching of power netwoks runs lean evaluation method, is related to a kind of dispatching of power netwoks evaluation method.With the continuous expansion of power network scale, operation characteristic it is increasingly sophisticated, dispatching of power netwoks operation lean management difficulty also increased dramatically；Step of the present invention includes：Build assessment indicator system；Index in assessment indicator system is classified, and is normalized；Determine the intension weight of assessment indicator system；Determine the structural weight of assessment indicator system；Obtain comprehensive weight；COMPREHENSIVE CALCULATING is carried out using obtained comprehensive weight, obtains evaluation result.The technical program can reasonably and comprehensively reflect that dispatching of power netwoks operation lean is horizontal according to evaluation result, and guidance is provided for network optimization operation.
Description
Technical field
The present invention relates to field of power, and lean evaluation method is run more particularly to a kind of dispatching of power netwoks.
Background technology
The new situations to be eased up in face of the economic downstream pressure increase in China in recent years, electricity needs speedup, Utilities Electric Co. will enter
Enter the new stage of lean development.And with the continuous expansion of power network scale, increasingly sophisticated, the dispatching of power netwoks operation of operation characteristic
The difficulty of lean management also increased dramatically.Therefore, there is an urgent need to establish a set of dispatching of power netwoks operation lean evaluation index body
System, quantitative assessment is carried out to proxima luce (prox. luc) dispatching of power netwoks operation actual conditions from " afterwards " angle, weak link therein is found, is
The horizontal raising of follow-up dispatching of power netwoks operation lean provides scientific basis.
The content of the invention
It is an object of the invention to provide a kind of dispatching of power netwoks to run lean evaluation method, can reasonably and comprehensively reflect
Dispatching of power netwoks operation lean is horizontal, is easy to dispatcher to find the operating weak link of proxima luce (prox. luc) dispatching of power netwoks in time, is
Network optimization operation provides guidance.
The purpose of the present invention is achieved through the following technical solutions：
A kind of dispatching of power netwoks runs lean evaluation method, including：
Step S1, assessment indicator system is built from security, economy, energy saving, the feature of environmental protection and fairness；
Step S2, the index in assessment indicator system is classified, and be normalized；
Step S3, the intension weight of assessment indicator system is determined using G1- expert's clustering procedure；
Step S4, the structural weight of assessment indicator system is determined using improvement entropy assessment；
Step S5, using minimum information discrimination principle, the knot that the step S3 intension weights determined and step S4 are determined
Structure weight integrates to obtain comprehensive weight；
Step S6, the synthesis obtained using linear weighted function synthesis to the desired value after being normalized in step S2 and step S5
Weight carries out COMPREHENSIVE CALCULATING, obtains evaluation result.
Further, in step sl, based on average value benefits, short -board effect, exception object effect and index structure
Basic principle builds assessment indicator system, including safety indexes collection, economic index collection, energy saving index set, the feature of environmental protection refer to
Mark collection and fairness index set；
Described safety indexes collection includes N-1 percent of pass, main cross sections N-2 percent of pass, short circuit current index, section peace
Index, spinning reserve deficiency are flowed to all referring to mark, main transformer safety index, line security index, operation of power networks equilibrium degree index, electric power
Rate index, for area's reactive load margin index, rate of qualified voltage, frequency qualification rate, load prediction qualification rate；
Described economic index collection includes average purchases strategies deviation ratio, Network Loss Rate, spinning reserve excess rate, spike and born
Lotus unit load factor, for area's reactive balance degree；
Described energy saving index set includes generate electricity average coal consumption, generating set average eguivalent rate of load condensate；
Described feature of environmental protection index set includes the grid-connected rate of regenerative resource, renewable energy power generation accounting, unit quantity of electricity SO2
Discharge capacity, unit quantity of electricity nitrogen oxide emission, unit quantity of electricity smoke discharge amount；
Described fairness index set includes daily trading planning completeness, day capacity factor equilibrium degree.
Further, in step s 2, evaluation index is divided into cost type according to desired value and the relation of expected result to refer to
Mark and profit evaluation model index；The index value of wherein cost type index is smaller, and index score is bigger；Profit evaluation model index is then opposite；
1) cost type index scoring function
In formula:rijFor the score of i-th index jth day；xijFor the numerical value of i-th index jth day；xi,maxAnd xi,minPoint
Not Biao Shi index i history maximum and minimum value.
2) profit evaluation model index scoring function
In step s3, by seeking the opinion of multidigit relevant expert, determined using G1- expert's clustering procedure in assessment indicator system
The property contained weight, is comprised the following steps that：
S31：Determine order relation
If evaluation index AiThe significance level for corresponding to interpretational criteria relatively is not less than Aj, it is designated as Ai≥Aj；Stratum is passed in foundation
After secondary structure, the membership of levels is just determined.It is assumed that the optimal objective of last layer compares m member as criterion
Plain A1, A2... AmInfluence to optimal objective, with their shared proportions in optimal objective of determination, that is, determine rule layer to mesh
Mark the order relation of layer.
For evaluation index A1, A2... AmOrder relation is established in the steps below：
A) estimator is in evaluation index A1, A2... AmIn, select and be considered a most important index, be designated as A'1；
B) estimator selects in remaining m-1 evaluation index and is considered a most important index, be designated as A'2；
C) estimator selects in remaining m- (k-1) individual evaluation index and is considered a most important index, be designated as
A'k；
D) selected by m-1 times, last remaining index is designated as A'm；
Influence and first class index influence to general objective of the two-level index for first class index is characterized using order relation method；
S32：The ratio in judgement of relative importance between index is provided, expert is on index A'k-1And A'kIt is relatively important
Degree the ratio between be：
wk-1=rkwk(k=m, m-1, m-2 ... 3,2) (3)
S33：Calculate the intension weight of each index
S34：N expert is determined according to step S31, S32 and S33 to m index weights, obtains micro-judgment matrix
S35：Judge expert x and expert y opinion compatible degree, represented with included angle cosine:
Compatible degree matrix D=[d (x, y) can be obtained according to the respective micro-judgment weight of n expertn×n], according to phase
Content matrix can carry out cluster analysis.
S36：Given threshold U, threshold value U is more than as criterion using opinion compatible degree, it is determined that expert clusters set two-by-two, and will be contained
The subset for having identical expert " simultaneously " operate, and obtains expert's cluster result.
S37：If n positions expert is divided into l classes, expert's number of kth class is Φk, j-th of expert provides interior in kth class
It is W to contain weight sequencejk=[w1,jk w2,jk … wm,jk]T。WjkComentropy H (Wjk) be:
Then weight λ between the class of kth classkWith weight α in the class of j-th of expert in classjkRespectively:
S38：Determine the weight of each expert, and the intension weight of its respective judgement is weighted, obtain intension weight ws,i。
Further, in step s 4, provided with m evaluation index, q evaluation day, determine that evaluation refers to improvement entropy assessment
The structural weight step of mark system is as follows：
S41：Calculate the proportion p of the index score of jth day under i-th of evaluation indexij:
S42：Calculate the entropy H of i-th of indexi:
Work as pijWhen=0, then p is madeij ln pij=0.
S43：Thus the structural weight w of i-th of index is calculatedo.i:
In formula:It is the average value of all entropy for not being 1.
Further, in step s 5, comprehensive weight w is obtained using minimum information discrimination principleo,i, comprehensive weight it is excellent
It is as follows to change model：
Above-mentioned optimization problem is solved using method of Lagrange multipliers, obtained:
Further, in step s 6, using linear weighted function synthesis in the index score and step S5 in step S2
Obtained comprehensive weight carries out COMPREHENSIVE CALCULATING, obtains the evaluation result Res of jth dayjIt is as follows：
Effective effect：The present invention according to dispatching of power netwoks run lean demand, based on average value benefits, short -board effect,
Exception object effect and index structure related guidance thought, construct cover security, economy, energy saving, the feature of environmental protection and
A set of dispatching of power netwoks operation lean assessment indicator system of this 5 aspects of fairness.Meanwhile invention is clustered using G1- expert
The weight of method synthesis multidigit expert judges information, and using the data structure information for improving entropy assessment extraction sample, has taken into account tax
The subjective and objective factor of power., can be reasonably and comprehensively anti-by assessment indicator system and integrated evaluating method proposed by the invention
Proxima luce (prox. luc) dispatching of power netwoks running situation is reflected, is easy to management and running personnel to find out the weak link in operation of power networks in time, promotes electricity
The horizontal continuous improvement of net management and running lean.
Brief description of the drawings
Fig. 1 is the assessment indicator system of the present invention；
Fig. 2 is the step flow chart of the present invention.
Embodiment
A kind of dispatching of power netwoks runs lean evaluation method, and step is as follows：
Step S1, assessment indicator system is built from security, economy, energy saving, the feature of environmental protection and fairness.It is based on
The related guidance thought that average value benefits, short -board effect, exception object effect and index are built, from security, economy, energy-conservation
Property, the feature of environmental protection and fairness set out structure assessment indicator system.The assessment indicator system of foundation is as shown in figure 1, including security
Index set, economic index collection, energy saving index set, feature of environmental protection index set and fairness index set；
Described safety indexes collection includes N-1 percent of pass, main cross sections N-2 percent of pass, short circuit current index, section peace
Index, spinning reserve deficiency are flowed to all referring to mark, main transformer safety index, line security index, operation of power networks equilibrium degree index, electric power
Rate index, for area's reactive load margin index, rate of qualified voltage, frequency qualification rate, load prediction qualification rate；
Described economic index collection includes averagely purchases strategies deviation ratio, Network Loss Rate, spinning reserve excess rate, spike and born
Lotus unit load factor, for area's reactive balance degree；
Described energy saving index set includes the average coal consumption that generates electricity, generating set average eguivalent rate of load condensate；
Described feature of environmental protection index set includes the grid-connected rate of regenerative resource, renewable energy power generation accounting, unit quantity of electricity SO2
Discharge capacity, unit quantity of electricity nitrogen oxide emission, unit quantity of electricity smoke discharge amount；
Described fairness index set includes daily trading planning completeness, day capacity factor equilibrium degree.
Step S2, the index in assessment indicator system is classified, and be normalized.
Evaluation index is divided into cost type index and profit evaluation model index according to desired value and the relation of expected result.Wherein into
The index value of this type index is smaller, and index score is bigger；Profit evaluation model index is then opposite.
1) cost type index scoring function
In formula:rijFor the score of i-th index jth day；xijFor the numerical value of i-th index jth day； xi,maxAnd xi,minPoint
Not Biao Shi index i history maximum and minimum value.
2) profit evaluation model index scoring function
Step S3, the intension weight of assessment indicator system is determined using G1- expert's clustering procedure.
By seeking the opinion of the multidigit domain expert, the intension weight of assessment indicator system is determined using G1- expert's clustering procedure,
Comprise the following steps that：
S31：Determine order relation
If evaluation index AiThe significance level for corresponding to interpretational criteria (or target) relatively is not less than Aj, it is designated as Ai≥Aj；Build
After vertical recursive hierarchy structure, the membership of levels is just determined.It is assumed that the optimal objective of last layer is as criterion, than
Compared with m elements A1, A2... AmInfluence to optimal objective, with their shared proportions in optimal objective of determination, that is, determine accurate
Then order relation of the layer to destination layer.
For evaluation index A1, A2... AmOrder relation is established in the steps below：
(1) estimator is in evaluation index A1, A2... AmIn, select and be considered a most important index, be designated as A'1；
(2) estimator selects in remaining m-1 evaluation index and is considered a most important index, be designated as A'2；
(3) estimator selects in remaining m- (k-1) individual evaluation index and is considered a most important index, be designated as
A'k；
(4) selected by m-1 times, last remaining index is designated as A'm；
S32：The ratio in judgement of relative importance between index is provided, expert is on index A'k-1And A'kIt is relatively important
Degree the ratio between be：
wk-1=rkwk(k=m, m-1, m-2 ... 3,2) (3)
rkAssignment be referred to table 1
Table 1
S33：Calculate the intension weight of each index
S34：N expert is determined according to step S31, S32 and S33 to m index weights, obtains micro-judgment matrix
S35：Judge expert x and expert y opinion compatible degree, represented with included angle cosine:
Compatible degree matrix D=[d (x, y) can be obtained according to the respective micro-judgment weight of n expertn×n], according to phase
Content matrix can carry out cluster analysis.
S36：Given threshold U, threshold value U is more than as criterion using opinion compatible degree, it is determined that expert clusters set two-by-two, and will be contained
The subset for having identical expert " simultaneously " operate, and obtains expert's cluster result.
S37：If n positions expert is divided into l classes, expert's number of kth class is Φk, j-th of expert provides interior in kth class
It is W to contain weight sequencejk=[w1,jk w2,jk … wm,jk]T。WjkComentropy H (Wjk) be:
Then weight λ between the class of kth classkWith weight α in the class of j-th of expert in classjkRespectively:
S38：Determine the weight of each expert, and the intension weight of its respective judgement is weighted, obtain intension weight ws,i。
Step S4, the structural weight of assessment indicator system is determined using improvement entropy assessment.
Provided with m evaluation index, q evaluation day, the structural weight for determining assessment indicator system with improvement entropy assessment walks
It is rapid as follows：
S41：Calculate the proportion p of the index score of jth day under i-th of evaluation indexij:
S42：Calculate the entropy H of i-th of indexi:
Work as pijWhen=0, then p is madeij ln pij=0.
S43：Thus the structural weight w of i-th of index is calculatedo.i:
In formula:It is the average value of all entropy for not being 1.
Step S5, using minimum information discrimination principle, the knot that the step S3 intension weights determined and step S4 are determined
Structure weight integrates to obtain comprehensive weight wo,i, comprehensive weight wo,iOptimized model it is as follows：
Above-mentioned optimization problem is solved using method of Lagrange multipliers, obtained:
Step S6, the synthesis obtained using linear weighted function synthesis to the desired value after being normalized in step S2 and step S5
Weight carries out COMPREHENSIVE CALCULATING, obtains the evaluation result Res of jth dayjIt is as follows：
Below by taking economic index as an example, evaluation result is obtained according to abovementioned steps.
1) index score calculates
Basic data is obtained from intelligent grid Dispatching Control System, trying to achieve index according to evaluation index classification of type obtains
Point, wherein averagely purchases strategies deviation ratio, Network Loss Rate, spinning reserve excess rate are cost type index, peakload unit loads
Rate, for area's reactive balance degree it is profit evaluation model index.
2) agriculture products weight
Multidigit expert is engaged first, and the importance sorting and weight between any two of economy two-level index are determined using G1 methods
Degree coefficient is wanted, solves and obtains the intension weight that each expert determines, it is as follows that composition obtains micro-judgment matrix W:
The compatible degree matrix between expert is calculated, threshold value T=0.99 is taken, cluster set can be obtained and be combined into { (1,4,6) (2,7)
(3) (5) }, then weight is respectively between class
The comentropy of each expert is calculated, obtaining weight in the class of each expert with reference to step S37 is
α11=0.38 α21=0.32 α31=0.30
α12=0.55 α22=0.45 α13=α14=1
The intension weight w of each index is obtained according to step S38s=[0.33 0.28 0.12 0.11 0.16].
Structural weight is determined by improving entropy assessment, chooses 5 representative operation days of power transmission network as sample,
It is as follows that sample matrix R is calculated by These parameters score:
The structural weight that index is obtained according to step S4 is as shown in table 2.
On the basis of intension weight and structural weight is obtained, according to step S5 Evaluation formula, that is, table 2 is obtained
The synthetic weights weight values of shown each index.It can see by the result of weight calculation, comprehensive weight has merged the intension letter of index
Breath and data structure information.
Table 2
3) quantitative evaluation result
According to index score and comprehensive weight, substitute into step S6 and obtain the score of this day economic index.
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although with reference to above-described embodiment pair
The present invention is explained, those of ordinary skills in the art should understand that：Still can be to the specific of the present invention
Embodiment is modified or equivalent substitution, and without departing from any modification of spirit and scope of the invention or equivalent substitution,
It all should cover among scope of the presently claimed invention.
Claims (7)
1. a kind of dispatching of power netwoks runs lean evaluation method, it is characterised in that including：
Step S1, assessment indicator system is built from security, economy, energy saving, the feature of environmental protection and fairness；
Step S2, the index in assessment indicator system is classified, and be normalized；
Step S3, the intension weight of assessment indicator system is determined using G1- expert's clustering procedure；
Step S4, the structural weight of assessment indicator system is determined using improvement entropy assessment；
Step S5, using minimum information discrimination principle, the step S3 intension weights determined and step S4 are determined structural
Weight integrates to obtain comprehensive weight；
Step S6, the comprehensive weight obtained using linear weighted function synthesis to the desired value after being normalized in step S2 and step S5
COMPREHENSIVE CALCULATING is carried out, obtains evaluation result.
A kind of 2. dispatching of power netwoks operation lean evaluation method according to claim 1, it is characterised in that：In step S1
In, the basic principle based on average value benefits, short -board effect, exception object effect and index structure builds assessment indicator system,
Including safety indexes collection, economic index collection, energy saving index set, feature of environmental protection index set and fairness index set；
Described safety indexes collection includes N-1 percent of pass, main cross sections N-2 percent of pass, short circuit current index, section and referred to safely
Mark, main transformer safety index, line security index, operation of power networks equilibrium degree index, electric power flow to index, spinning reserve deficiency rate refers to
Mark, for area's reactive load margin index, rate of qualified voltage, frequency qualification rate, load prediction qualification rate；
Described economic index collection includes average purchases strategies deviation ratio, Network Loss Rate, spinning reserve excess rate, peakload machine
Organize load factor, for area's reactive balance degree；
Described energy saving index set includes generate electricity average coal consumption, generating set average eguivalent rate of load condensate；
Described feature of environmental protection index set includes the grid-connected rate of regenerative resource, renewable energy power generation accounting, unit quantity of electricity SO2Discharge
Amount, unit quantity of electricity nitrogen oxide emission, unit quantity of electricity smoke discharge amount；
Described fairness index set includes daily trading planning completeness, day capacity factor equilibrium degree.
A kind of 3. dispatching of power netwoks operation lean evaluation method according to claim 1, it is characterised in that：In step S2
In, evaluation index is divided into cost type index and profit evaluation model index according to desired value and the relation of expected result；Wherein cost type
The index value of index is smaller, and index score is bigger；Profit evaluation model index is then opposite；
1) cost type index scoring function
In formula:rijFor the score of i-th index jth day；xijFor the numerical value of i-th index jth day；xi,maxAnd xi,minTable respectively
Show index i history maximum and minimum value；
2) profit evaluation model index scoring function
。
A kind of 4. dispatching of power netwoks operation lean evaluation method according to claim 1, it is characterised in that：In step S3
In, the intension weight of assessment indicator system is determined using G1- expert's clustering procedure, its step includes：
S31：Determine order relation
If evaluation index AiThe significance level for corresponding to interpretational criteria relatively is not less than Aj, it is designated as Ai≥Aj；Establish recursive hierarchy structure
After, the membership of levels is just determined；It is assumed that the optimal objective of last layer compares m elements A as criterion1,
A2... AmInfluence to optimal objective, with their shared proportions in optimal objective of determination, that is, determine rule layer to destination layer
Order relation；
For evaluation index A1, A2... AmOrder relation is established in the steps below：
A) estimator is in evaluation index A1, A2... AmIn, select and be considered a most important index, be designated as A'1；
B) estimator selects in remaining m-1 evaluation index and is considered a most important index, be designated as A'2；
C) estimator selects in remaining m- (k-1) individual evaluation index and is considered a most important index, be designated as A'k；
D) selected by m-1 times, last remaining index is designated as A'm；
Influence and first class index influence to general objective of the two-level index for first class index is characterized using order relation method；
S32：The ratio in judgement of relative importance between index is provided, expert is on index A'k-1And A'kThe ratio between relative Link Importance
For
wk-1=rkwk(k=m, m-1, m-2 ... 3,2) (3)
S33：Calculate the intension weight of each index
S34：N expert is determined according to step S31, S32 and S33 to m index weights, obtains micro-judgment matrix
S35：Judge expert x and expert y opinion compatible degree, represented with included angle cosine:
Compatible degree matrix D=[d (x, y) can be obtained according to the respective micro-judgment weight of n expertn×n], according to compatible degree square
Battle array can carry out cluster analysis；
S36：Given threshold U, threshold value U is more than as criterion using opinion compatible degree, it is determined that expert clusters set two-by-two, and phase will be contained
Subset with expert " simultaneously " operate, and obtains expert's cluster result；
S37：If n positions expert is divided into l classes, expert's number of kth class is Φk, j-th of expert provides in kth class intension weight
Sequence is Wjk=[w1,jk w2,jk … wm,jk]T；WjkComentropy H (Wjk) be:
Then weight λ between the class of kth classkWith weight α in the class of j-th of expert in classjkRespectively:
S38：Determine the weight of each expert, and the intension weight of its respective judgement is weighted, obtain intension weight ws,i；
。
A kind of 5. dispatching of power netwoks operation lean evaluation method according to claim 4, it is characterised in that：In step S4
In, provided with m evaluation index, q evaluation day, the structural weight step of assessment indicator system is determined such as with improvement entropy assessment
Under：
S41：Calculate the proportion p of the index score of jth day under i-th of evaluation indexij:
S42：Calculate the entropy H of i-th of indexi:
Work as pijWhen=0, then p is madeij ln pij=0；
S43：Thus the structural weight w of i-th of index is calculatedo.i:
In formula:It is the average value of all entropy for not being 1.
A kind of 6. dispatching of power netwoks operation lean evaluation method according to claim 5, it is characterised in that：In step S5
In, obtain comprehensive weight w using minimum information discrimination principleo,i, the Optimized model of comprehensive weight is as follows：
Above-mentioned optimization problem is solved using method of Lagrange multipliers, obtained:
。
A kind of 7. dispatching of power netwoks operation lean evaluation method according to claim 6, it is characterised in that：In step S6
In, the comprehensive weight obtained in the index score in step S2 and step S5 is carried out integrating meter using linear weighted function synthesis
Calculate, obtain the evaluation result Res of jth dayjIt is as follows：
。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710350887.0A CN107358332A (en) | 2017-05-18 | 2017-05-18 | A kind of dispatching of power netwoks runs lean evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710350887.0A CN107358332A (en) | 2017-05-18 | 2017-05-18 | A kind of dispatching of power netwoks runs lean evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107358332A true CN107358332A (en) | 2017-11-17 |
Family
ID=60272171
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710350887.0A Pending CN107358332A (en) | 2017-05-18 | 2017-05-18 | A kind of dispatching of power netwoks runs lean evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107358332A (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109003002A (en) * | 2018-08-14 | 2018-12-14 | 中国南方电网有限责任公司超高压输电公司 | A kind of construction method of the technology evaluation criterion system of energy-saving power transmission network |
| CN109164704A (en) * | 2018-08-07 | 2019-01-08 | 大连理工大学 | A kind of air compressor machine group Optimization Scheduling based on mixed model |
| CN109190947A (en) * | 2018-08-20 | 2019-01-11 | 深圳供电局有限公司 | Scheduling work evaluation system |
| CN109242351A (en) * | 2018-10-18 | 2019-01-18 | 国网湖南省电力有限公司 | Transformer station direct current system operation risk evaluation method |
| CN109409702A (en) * | 2018-10-10 | 2019-03-01 | 武汉华飞智能电气科技有限公司 | A kind of operation of power networks index analysing system |
| CN112215512A (en) * | 2020-10-22 | 2021-01-12 | 上海交通大学 | Comprehensive evaluation index weight quantification method and system considering functional characteristics of microgrid |
| CN112561252A (en) * | 2020-11-30 | 2021-03-26 | 郑州轻工业大学 | Reactive power combination evaluation method for power grid in new energy-containing region |
| CN113240330A (en) * | 2021-06-03 | 2021-08-10 | 国网上海市电力公司 | Multi-dimensional value evaluation method and scheduling strategy for demand side virtual power plant |
| CN113780686A (en) * | 2021-10-21 | 2021-12-10 | 国网上海市电力公司 | Distributed power supply-oriented virtual power plant operation scheme optimization method |
-
2017
- 2017-05-18 CN CN201710350887.0A patent/CN107358332A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109164704A (en) * | 2018-08-07 | 2019-01-08 | 大连理工大学 | A kind of air compressor machine group Optimization Scheduling based on mixed model |
| CN109164704B (en) * | 2018-08-07 | 2021-03-26 | 大连理工大学 | Air compressor group optimal scheduling method based on hybrid model |
| CN109003002A (en) * | 2018-08-14 | 2018-12-14 | 中国南方电网有限责任公司超高压输电公司 | A kind of construction method of the technology evaluation criterion system of energy-saving power transmission network |
| CN109190947A (en) * | 2018-08-20 | 2019-01-11 | 深圳供电局有限公司 | Scheduling work evaluation system |
| CN109409702A (en) * | 2018-10-10 | 2019-03-01 | 武汉华飞智能电气科技有限公司 | A kind of operation of power networks index analysing system |
| CN109242351A (en) * | 2018-10-18 | 2019-01-18 | 国网湖南省电力有限公司 | Transformer station direct current system operation risk evaluation method |
| CN112215512A (en) * | 2020-10-22 | 2021-01-12 | 上海交通大学 | Comprehensive evaluation index weight quantification method and system considering functional characteristics of microgrid |
| CN112561252A (en) * | 2020-11-30 | 2021-03-26 | 郑州轻工业大学 | Reactive power combination evaluation method for power grid in new energy-containing region |
| CN112561252B (en) * | 2020-11-30 | 2023-06-16 | 郑州轻工业大学 | Reactive power combination evaluation method for power grid in new energy-containing region |
| CN113240330A (en) * | 2021-06-03 | 2021-08-10 | 国网上海市电力公司 | Multi-dimensional value evaluation method and scheduling strategy for demand side virtual power plant |
| CN113780686A (en) * | 2021-10-21 | 2021-12-10 | 国网上海市电力公司 | Distributed power supply-oriented virtual power plant operation scheme optimization method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107358332A (en) | A kind of dispatching of power netwoks runs lean evaluation method | |
| CN108491969A (en) | Spatial Load Forecasting model building method based on big data | |
| CN104331844B (en) | A kind of power network construction project investment decision method | |
| CN110795692A (en) | Active power distribution network operation state evaluation method | |
| CN107506905A (en) | A kind of improved Sustainable Development of Power Grid Company integrated evaluating method | |
| CN103761690A (en) | Evaluation method based on voltage reactive power control system in grid system | |
| CN105160149B (en) | A kind of demand response scheduling evaluation system construction method for simulating regulating units | |
| CN103310298A (en) | Multistage comprehensive evaluation method for power distribution network planning scheme | |
| CN107292489A (en) | A kind of dispatching of power netwoks runs lean evaluation system | |
| CN110489783B (en) | QNNN-based low-voltage transformer area line loss rate reasonable range estimation method | |
| CN102663501A (en) | Smart grid evaluation system and method | |
| CN110490409B (en) | DNN-based low-voltage transformer area line loss rate benchmarking value setting method | |
| CN106339779A (en) | Evaluation method for distributed power supply configuration scheme in power distribution network | |
| CN109492874A (en) | A kind of decision-making technique of three levels power distribution network investment decision system | |
| CN110401211A (en) | Energy-accumulating power station operative scenario recognition methods based on feature extraction | |
| CN107437135A (en) | A kind of novel energy-storing selection method | |
| CN110059913A (en) | A kind of quantitative estimation method counted and the power failure of future-state is planned | |
| CN107169655A (en) | A kind of method and device of preferred power distribution network project compatibility | |
| CN106600130A (en) | Fuzzy neural network model-based independent microgrid security analysis method | |
| CN113327047B (en) | Power marketing service channel decision method and system based on fuzzy comprehensive model | |
| CN108898322A (en) | A kind of electric grid investment strategy benefit integrated evaluating method based on FCM algorithm | |
| CN105896547A (en) | Large power network graded voltage control method under wind power access | |
| CN105117859A (en) | Electric power development level general evaluation method based on IOWA operator | |
| CN107622362A (en) | A kind of evaluation method and device of power distribution network returns of investment | |
| CN108711867A (en) | It is a kind of meter and Voltage Stability Constraints the idle planing method of power distribution network |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20171117 |