CN108764684A - Intelligent box substation health state evaluation method based on Fuzzy AHP - Google Patents
Intelligent box substation health state evaluation method based on Fuzzy AHP Download PDFInfo
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- CN108764684A CN108764684A CN201810487696.3A CN201810487696A CN108764684A CN 108764684 A CN108764684 A CN 108764684A CN 201810487696 A CN201810487696 A CN 201810487696A CN 108764684 A CN108764684 A CN 108764684A
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- 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
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Abstract
The invention discloses the intelligent box substation health state evaluation methods based on Fuzzy AHP, including：Distinguishing hierarchy is carried out to intelligent box substation；According to determining index quantity of state, the corresponding data manually acquired using operational system and scene is normalized to obtain the scoring of each index quantity of state；The precedence relation matrix for determining each index quantity of state, then by being converted to corresponding Fuzzy consistent matrix；The weight of each index quantity of state is calculated, then summation is weighted using above-mentioned each index quantity of state scoring, obtains the condition grading of corresponding equipment；The condition grading of each equipment obtained to previous step is weighted summation, obtains final intelligent box substation health status.The present invention has broken the overweight limitation of subjective factor in the establishment of assessment factor weight, calculating process clear layer, as a result reliably；Method is easy to implement, and calculating speed is fast.
Description
Technical field
The present invention relates to substation's technical fields, more particularly to the intelligent box substation based on Fuzzy AHP
Health state evaluation method.
Background technology
As the intelligentize and informatization to power grid requires to be continuously improved, intelligent substation is in intelligent grid process of construction
Play the part of more and more important role.Wherein intelligent box substation as go deep into load center match electrical nodes, operating status
Health whether will directly affect the safety and reliability of power supply.
At present for the status assessment of intelligent box substation, research mostly all stresses the single equipment or a certain of case change
State, it is less for the status assessment research of box-type substation entirety.
But due to the distributivity of current box-type substation, operation maintenance personnel needs to grasp different regions case change more fully hereinafter
Operation conditions.Intelligence and information-based feature, operation maintenance personnel in conjunction with current intelligent box substation can pass through intelligence
Case becomes the various status datas that operational system grasps case change in real time, and abundant case becomes data and is advantageously implemented intelligent box change entirety
Health state evaluation.
For all kinds of status datas for more fully utilizing intelligent box to become, need a kind of to realize that efficient, assessment result can
The intelligent box substation health evaluating method leaned on.
Invention content
In order to solve the deficiencies in the prior art, the present invention provides the intelligent box substations based on Fuzzy AHP
Health state evaluation method realizes the health state evaluation to intelligent box substation entirety, and operation maintenance personnel is facilitated to understand operation
In intelligent box become situation, for case become occur health problem carry out timely processing.
Intelligent box substation health state evaluation method based on Fuzzy AHP, including：
Distinguishing hierarchy is carried out to intelligent box substation, is divided into intelligent box change layer, mechanical floor, index quantity of state layer, together
When determine it is at all levels in element, i.e. the equipment composition of mechanical floor and each equipment index for including of index quantity of state layer
Quantity of state；
According to determining index quantity of state, the corresponding data manually acquired using operational system and scene is normalized
Processing obtains the scoring of each index quantity of state；
The precedence relation matrix for determining each index quantity of state, then by being converted to corresponding Fuzzy consistent matrix；
The weight of each index quantity of state is calculated, is then weighted summation using above-mentioned each index quantity of state scoring,
Obtain the condition grading of corresponding equipment；
The condition grading of each equipment obtained to previous step is weighted summation, show that intelligent box substation is whole
Health status scores；
By the health status scoring control intelligent box substation health status of calculated intelligent box substation entirety
Grade separation table obtains final intelligent box substation health status.
Further preferred technical solution integrally regard intelligent box substation as intelligent box change layer, box-type substation institute
Including equipment be divided into mechanical floor, each corresponding index quantity of state of equipment is divided into index quantity of state layer in mechanical floor.
Further preferred technical solution is marked when determining the precedence relation matrix of each index quantity of state using 0.1-0.9
Degree method constructs table and constructs precedence relation matrix.
Further preferred technical solution, about precedence relation matrix, if the element set of index quantity of state layer is
A={ A1,A2,…,An, then it represents that A1,A2,…,AnThe precedence relation matrix F of significance level is after comparing two-by-two
Wherein, n is the quantity of index quantity of state, if elements AiWith elements AjIt compares to obtain and judges fij。
Further preferred technical solution, after obtaining precedence relation matrix F, ask each row andWithThen conversion formula is utilizedF is converted into Fuzzy consistent matrix R=(rij)n×n。
Further preferred technical solution can calculate after establishing fuzzy consistent judgment matrix according to weight sequencing formula
Go out initial weight vector, weight sequencing formula is：
Wherein, a is the parameter more than or equal to (n-1)/2.
Further preferred technical solution seeks precision higher using initial weight vector as iteration initial value by power method
Weight vectors, initial weight vector W0=(w1,w2,…,wn)T, it is as follows：
(1) pass through formulaBy fuzzy consistent judgment matrix R=(rij)n×nBe converted to reciprocal judgment matrix E
=(eij)n×n；
(2) with W0As primary iteration vector V0, utilize iterative formula V1=EV0Seek feature vector V1, while seeking V1And V0
Infinite Norm | | V1||∞With | | V0||∞；
(3) judged：If meeting | | V1||∞-||V0||∞< ε, ε are given error, then | | V1||∞It is as maximum special
Value indicative, then to V1It is normalized, treated, and vector is to meet error requirements and more accurate weight vectors, together
When iteration terminate；
Further preferred technical solution, if being unsatisfactory for | | V1||∞-||V0||∞< ε, ε are given error, according to following
Continue iteration after formula update initial value, until meeting error requirements；
Further preferred technical solution utilizes the artificial acquisition of operational system and scene according to determining index quantity of state
Corresponding data, be normalized to obtain the scoring of each index quantity of state, specifically be normalized to：
Wherein, smFor the condition grading of m-th of index quantity of state, work as smWhen < 0, s is enabledm=0；Work as smWhen > 1, s is enabledm=1；
cmTest value when to assess needs the positive deterioration for considering index amount and negative deterioration, the police of index amount to keep data more accurate
Indicating value c ' takes 1.3crOr cr/ 1.3, wherein crFor the threshold of corresponding index amount；ciFor the initial value of the index amount, i.e., manufacture or
Numerical value before assessment.
Further preferred technical solution, calculated each index quantity of state weight, then in conjunction with each finger
Mark quantity of state scoring is weighted summation, show that the condition grading of corresponding equipment, weighted sum formula are：
In formula, wmFor the weight of m-th of index quantity of state, the weight be by power method seek the higher weight of precision to
Amount, smFor the condition grading of m-th of index quantity of state, xkIt scores for k-th of equipment state, n is the quantity of index quantity of state.Into
The preferred technical solution of one step is weighted summation to each equipment scoring obtained, obtains Intelligent box type according to the following formula
The health status of substation's entirety scores；
X in formulakFor k-th of equipment state scoring found out, WkFor the weight of k-th of equipment, the weight is generally according to expert
It is recommended that and corresponding research establish, N is number of devices.
Further preferred technical solution compares box-type substation health status grade separation table, utilizes calculated intelligence
Energy case becomes health status scoring, obtains final intelligent box and becomes health status, and becoming health status for intelligent box scores, if assessment
As a result show case, which becomes, is in abnormality or severe conditions, then is in time reported result by intelligent box substation operational system
It is convenient for overhaul plan to operation maintenance personnel, intelligent box substation health status result is exported and is preserved, forms health evaluating
Report.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention has broken the overweight limitation of subjective factor in the establishment of assessment factor weight；Calculate the method ratio of weight
Traditional analytic hierarchy process (AHP) is more efficient, numerical precision higher；By being integrally layered to intelligent box substation, weighed with each layer
The heavy final scoring for showing that intelligent box becomes from the bottom to top with condition grading, calculating process clear layer, as a result reliably；Method is easy
It realizes, calculating speed is fast.
The intelligent box substation health state evaluation method based on Fuzzy AHP of the present invention is suitable for intelligence
Box-type substation carries out whole health state evaluation；By assessment result, operation maintenance personnel can with when understand running intelligence
Case becomes whole and each section state, is conducive to complete the foundation of repair and maintenance arrangement and statement-of-health that intelligent box becomes, great work
Journey practical value.
Description of the drawings
The accompanying drawings which form a part of this application are used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation do not constitute the improper restriction to the application for explaining the application.
Fig. 1 is that the present invention is based on the intelligent box substation health state evaluation method flow boxes of Fuzzy AHP
Figure；
Fig. 2 is the intelligent box substation health evaluating system assumption diagram based on the method for the present invention.
Specific implementation mode
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific implementation mode, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative
It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or combination thereof.
Fig. 2 is the intelligent box substation health evaluating system assumption diagram based on the method for the present invention, since Intelligent box type becomes
The selection of the difference of power station house transformer type, index quantity of state has certain difference, and the present invention is with oil-immersed transformer
Example, is divided into three layers by entire health evaluating system：The final goal of the evaluation system is to determine the health status that case becomes, therefore will
Intelligent box substation is integrally used as top；Box-type substation generally comprises four parts：Gas insulated combined electric appliance equipment
(GIS), transformer, low-tension switch cabinet, secondary device, therefore using the above four classes EM equipment module as middleware layer；It will be intermediate
The respective many index quantity of state of four modules of mechanical floor is as the bottom.If intelligent box substation house transformer is other
Type, the then selection of index quantity of state then need to be studied according to pertinent literature and the opinion of expert and operation maintenance personnel.
Referring to Fig.1, the intelligent box substation health state evaluation method based on Fuzzy AHP, the present embodiment packet
Include following steps：
Step 01 is executed, is started；
Then, execute step 02, to intelligent box become carry out distinguishing hierarchy, while determine it is at all levels in element, that is, set
The index quantity of state type that the EM equipment module composition of standby layer and each EM equipment module include.
Then, step 03 is executed, that is, after determining indicator layer element, establishes the precedence relation matrix of each index quantity of state.
General matrix F constructs precedence relation matrix using 0.1-0.9 scaling laws, as shown in table 1.
1 0.1-0.9 scaling laws of table construct table
If a certain layer element set is A={ A1,A2,…,An, then it represents that A1,A2,…,AnSignificance level after comparing two-by-two
Precedence relation matrix F is
After obtaining precedence relation matrix F, ask each row andThen conversion formula is utilizedIt will
F is converted to Fuzzy consistent matrix R=(rij)n×n.After establishing fuzzy consistent judgment matrix, according to weight sequencing formula：
Initial weight vector can be calculated.Wherein a is the parameter more than or equal to (n-1)/2, and a is smaller, the difference of weight
It is bigger.As a=(n-1)/2, the difference of weight is maximum.Therefore in order to highlight the otherness of significance level between element, a is generally taken
=(n-1)/2.Remember that the initial weight vector acquired is W0=(w1,w2,…,wn)T.Then initial as iteration using initial weight vector
Value, the higher weight vectors of precision are sought by power method.It is as follows：1. passing through formula eij=rij/rjiBy fuzzy consensus
Judgment matrix R=(rij)n×nBe converted to reciprocal judgment matrix E=(eij)n×n；2. with W0As primary iteration vector V0, utilize
Iterative formula V1=EV0Seek feature vector V1, while seeking V1And V0Infinite Norm | | V1||∞With | | V0||∞；3. being judged：
If meeting | | V1||∞-||V0||∞< ε (ε is given error), then | | V1||∞As maximum eigenvalue.Again to V1Carry out normalizing
Change is handled, and processing formula is as follows：
Treated, and vector is to meet error requirements and more accurate weight vectors, Simultaneous Iteration terminate；If on 4.
Inequality condition is unsatisfactory in one step, continues iteration after updating initial value according to following formula, until meeting error requirements.
Meanwhile it executing step 04 and utilizing intelligent box substation operational system and scene according to determining index quantity of state
Corresponding status data is manually acquired, is then normalized to obtain the scoring of each index quantity of state, normalizes formula
For：
Wherein, smFor the condition grading of m-th of index quantity of state, work as smWhen < 0, s is enabledm=0；Work as smWhen > 1, s is enabledm=1；
cmTest value when to assess needs the positive deterioration for considering index amount and negative deterioration, the police of index amount to keep data more accurate
Indicating value c ' takes 1.3crOr cr/ 1.3, wherein crFor the threshold of corresponding index amount；ciFor the initial value of the index amount, i.e., manufacture or
Numerical value before assessment.
After executing the step 04, execution step 05, each index quantity of state weight being calculated using step 03, then
It is weighted summation in conjunction with each index quantity of state scoring in step 04, show that the condition grading of corresponding equipment, weighted sum are public
Formula is：
In formula, wmFor the weight of m-th of index quantity of state, the weight be by power method seek the higher weight of precision to
Amount, smFor the condition grading of m-th of index quantity of state, xkIt scores for k-th of equipment state, n is the quantity of index quantity of state.
Then, step 06 is executed, summation is weighted according to the following formula to each equipment scoring that previous step obtains, is obtained
Go out the health status scoring of intelligent box substation entirety.
X in formulakFor k-th of equipment state scoring found out, WkFor the weight of k-th of equipment, the weight is generally according to expert
It is recommended that and corresponding research establish, N is number of devices.
Then, step 07 is executed, control box-type substation health status grade separation table utilizes step 06 as shown in table 2
Calculated intelligent box becomes health status scoring, obtains final intelligent box and becomes health status.
2 box-type substation health status grade separation table of table
After executing the step 07, step 08 is executed, becomes health status scoring for intelligent box, if assessment result show case becomes
In abnormality or severe conditions, then result is reported to operation maintenance personnel just in time by intelligent box substation operational system
In progress overhaul plan etc..
Then, step 09 is executed, intelligent box substation health status result is exported and is preserved, forms health evaluating report
It accuses.
Finally, step 10 is executed, is terminated.
The foregoing is merely the preferred embodiments of the application, are not intended to limit this application, for the skill of this field
For art personnel, the application can have various modifications and variations.Within the spirit and principles of this application, any made by repair
Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.
Claims (10)
1. the intelligent box substation health state evaluation method based on Fuzzy AHP, characterized in that including：
Distinguishing hierarchy is carried out to intelligent box substation, is divided into intelligent box change layer, mechanical floor, index quantity of state layer, while really
It is fixed it is at all levels in element, i.e., the index state that the equipment composition of mechanical floor and each equipment of index quantity of state layer include
Amount；
According to determining index quantity of state, the corresponding data manually acquired using operational system and scene is normalized
Obtain the scoring of each index quantity of state；
The precedence relation matrix for determining each index quantity of state, then by being converted to corresponding Fuzzy consistent matrix；
The weight of each index quantity of state is calculated, then summation is weighted using above-mentioned each index quantity of state scoring, obtains
The condition grading of corresponding equipment；
The condition grading of each equipment obtained to previous step is weighted summation, obtains the health of intelligent box substation entirety
Condition grading；
By the health status scoring control intelligent box substation health status grade of calculated intelligent box substation entirety
Classification chart obtains final intelligent box substation health status.
2. the intelligent box substation health state evaluation method based on Fuzzy AHP as described in claim 1,
It is characterized in, is integrally used as intelligent box change layer, the equipment included by box-type substation to be divided into mechanical floor intelligent box substation,
The corresponding index quantity of state of each equipment is divided into index quantity of state layer in mechanical floor.
3. the intelligent box substation health state evaluation method based on Fuzzy AHP as described in claim 1,
It is characterized in, when determining the precedence relation matrix of each index quantity of state, dominance relation is constructed using 0.1-0.9 scaling laws construction table
Matrix；
About precedence relation matrix, if the element set of index quantity of state layer is
A={ A1,A2,…,An, then it represents that A1,A2,…,AnThe precedence relation matrix F of significance level is after comparing two-by-two
Wherein, n is the quantity of index quantity of state, if elements AiWith elements AjIt compares to obtain and judges fij。
4. the intelligent box substation health state evaluation method based on Fuzzy AHP as claimed in claim 3,
Be characterized in, after obtaining precedence relation matrix F, ask each row andWithThen conversion formula is utilizedF is converted into Fuzzy consistent matrix R=(rij)n×n。
5. the intelligent box substation health state evaluation method based on Fuzzy AHP as claimed in claim 4,
It is characterized in, after establishing fuzzy consistent judgment matrix, initial weight vector, weight sequencing can be calculated according to weight sequencing formula
Formula is：
Wherein a is the parameter more than or equal to (n-1)/2.
6. the intelligent box substation health state evaluation method based on Fuzzy AHP as claimed in claim 5,
It is characterized in, using initial weight vector as iteration initial value, the higher weight vectors of precision, initial weight vector is sought by power method
W0=(w1,w2,…,wn)T, it is as follows：
(1) pass through formula eij=rij/rjiBy fuzzy consistent judgment matrix R=(rij)n×nBe converted to reciprocal judgment matrix E=
(eij)n×n；
(2) with W0As primary iteration vector V0, utilize iterative formula V1=EV0Seek feature vector V1, while seeking V1And V0It is infinite
Norm | | V1||∞With | | V0||∞；
(3) judged：If meeting | | V1||∞-||V0||∞< ε, ε are given error, then | | V1||∞As maximum feature
Value, then to V1It is normalized, treated, and vector is to meet error requirements and more accurate weight vectors, simultaneously
Iteration terminates；
If being unsatisfactory for | | V1||∞-||V0||∞< ε, ε are given error, continue iteration after updating initial value according to following formula, directly
To meeting error requirements；
7. the intelligent box substation health state evaluation method based on Fuzzy AHP as described in claim 1,
It is characterized in, according to determining index quantity of state, place is normalized in the corresponding data manually acquired using operational system and scene
Reason obtains the scoring of each index quantity of state, is specifically normalized to：
Wherein, smFor the condition grading of m-th of index quantity of state, work as smWhen < 0, s is enabledm=0；Work as smWhen > 1, s is enabledm=1；cmFor
Test value when assessment needs the positive deterioration for considering index amount and negative deterioration, the warning value of index amount to keep data more accurate
C ' takes 1.3crOr cr/ 1.3, wherein crFor the threshold of corresponding index amount；ciFor the initial value of the index amount, that is, dispatches from the factory or assess
Preceding numerical value.
8. the intelligent box substation health state evaluation method based on Fuzzy AHP as claimed in claim 7,
It is characterized in, calculated each index quantity of state weight, is weighted and asks then in conjunction with the scoring of each index quantity of state
With show that the condition grading of corresponding equipment, weighted sum formula are：
In formula, wmFor the weight of m-th of index quantity of state, which is to seek the higher weight vectors of precision, s by power methodmFor
The condition grading of m-th of index quantity of state, xkIt scores for k-th of equipment state, n is the quantity of index quantity of state.
9. the intelligent box substation health state evaluation method based on Fuzzy AHP as claimed in claim 8,
It is characterized in, summation is weighted according to the following formula to each equipment scoring obtained, obtains intelligent box substation entirety
Health status scores；
X in formulakFor k-th of equipment state scoring found out, WkFor the weight of k-th of equipment, the weight is generally according to expert advice
And corresponding research is established, N is number of devices.
10. the intelligent box substation health state evaluation method based on Fuzzy AHP as described in claim 1,
It is characterized in, compares box-type substation health status grade separation table, becoming health status using calculated intelligent box scores, and obtains
Final intelligent box becomes health status, becomes health status scoring for intelligent box, if assessment result show case becomes in abnormal shape
Result is then reported by intelligent box substation operational system and is convenient for overhauling to operation maintenance personnel by state or severe conditions in time
Intelligent box substation health status result is exported and is preserved by processing, forms health evaluating report.
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