CN109242721A - A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule - Google Patents

A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule Download PDF

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Publication number
CN109242721A
CN109242721A CN201811071799.8A CN201811071799A CN109242721A CN 109242721 A CN109242721 A CN 109242721A CN 201811071799 A CN201811071799 A CN 201811071799A CN 109242721 A CN109242721 A CN 109242721A
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characteristic value
relation factor
fault characteristic
weight coefficient
value
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杨明波
马格土
付渊
欧阳金鑫
熊小伏
陆禹初
龙毅
付滨
杜雪
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Guizhou Power Grid Co Ltd
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Guizhou Power Grid Co Ltd
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    • 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • 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

Abstract

The power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule that the invention discloses a kind of, it includes: to establish fault signature quantity set and relation factor collection, seeks the related coefficient between relation factor and fault characteristic value and calculates relation factor to the normal weight coefficient of every kind of fault characteristic value；The data concentrated to relation factor make normalized, by obtaining relative score value corresponding to every kind of fault characteristic value after normal weight coefficient weighted sum corresponding to different faults characteristic quantity；And fault characteristic value variable weight coefficient is calculated in relative score value according to fault characteristic value and normal weight coefficient；Subordinating degree function is constructed, fault characteristic value evaluations matrix is constructed according to subordinating degree function value and fault characteristic value variable weight coefficient；To seek best line selection mode；The regular distribution net failure line selection mode for solving the prior art can not adapt to the further complex working condition developed with scene of power distribution network, be unable to reach the technical problems such as higher route selection accuracy rate.

Description

A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule
Technical field
The invention belongs to Power System Analysis technical field more particularly to a kind of matching based on Set Pair Analysis and correlation rule Power grid route selection appraisal procedure.
Background technique
With the further development of domestic distribution system, distribution network structure is increasingly sophisticated, and transformer outlet gradually increases, The distribution of failure zero-sequence current is increasingly sophisticated, and failure mode is various.Faulty line can be fast and accurately selected when breaking down and is cut It removes, is the important leverage of power distribution network safe operation, reliable power supply.
The big type of domestic production line selection apparatus is more at present, but location design is confined to the actual condition of power distribution network, Route selection accuracy rate still has to be hoisted.Somewhere power supply bureau carried out statistics to the service condition of automatic route selection device, found the office Line selection apparatus 170 are installed altogether, because of route selection effect very poor 146 out of service, exit rate up to 86%.In other community surveys Situation is also substantially similar, this equally illustrates that route selection technology has certain limitation in the actual application of engineering, it can be seen that, it is based on The regular distribution net failure line selection mode of the prior art can not adapt to the complex working condition of the further development and scene of power distribution network, nothing Method reaches higher route selection accuracy rate.The reason is that existing failure line selection mode a multitude of names, every kind of line selection mode it is suitable It answers condition to be not quite similar, lacks the appraisement system to existing distribution network fault line selection mode in practice in engineering, it can not be for existing Field operating condition selects most suitable selection method, so that distribution network fault line selection becomes a complicated stubborn problem.
Summary of the invention
It is commented the technical problem to be solved by the present invention is providing a kind of power distribution network route selection based on Set Pair Analysis and correlation rule Estimate method, further development and the scene of power distribution network can not be adapted in a manner of the regular distribution net failure line selection for solving the prior art Complex working condition, be unable to reach the technical problems such as higher route selection accuracy rate.
Technical solution of the present invention:
A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule, it includes:
Step 1 establishes fault signature quantity set and relation factor collection for power distribution network selection method, seeks relation factor and event Hinder the related coefficient between characteristic quantity and calculates relation factor to the normal weight coefficient of every kind of fault characteristic value；
Step 2, the data concentrated to relation factor make normalized, by Chang Quanchong corresponding to different faults characteristic quantity Relative score value corresponding to every kind of fault characteristic value is obtained after coefficient weighted sum；And the relative score according to fault characteristic value Fault characteristic value variable weight coefficient is calculated in value and normal weight coefficient；
Step 3: construction subordinating degree function is to reflect relation factor to the influence degree of route selection accuracy rate, according to degree of membership letter Numerical value and fault characteristic value variable weight coefficient construct fault characteristic value evaluations matrix；
Step 4: according to the variable weight coefficient and fault characteristic value evaluations matrix of fault characteristic value, seeking fault characteristic value Correlation model of the Pair Analysis function as reflection route selection accuracy between collection and relation factor collection, to seek best route selection side Formula.
Fault signature quantity set and relation factor collection are established for power distribution network selection method described in step 1, seeks relation factor Related coefficient between fault characteristic value simultaneously calculates relation factor and includes: to the method for the normal weight coefficient of every kind of fault characteristic value
Step 1.1 is directed to zero-sequence current than width method, zero-sequence current active component method, quintuple harmonics method, zero sequence power method four Kind distribution network fault line selection mode, according to its, respectively fault characteristic value establishes fault signature quantity set C；For distribution network fault line selection Influence factor establishes relation factor collection F；
Step 1.2 determines relation factor to failure by seeking the related coefficient between relation factor and fault characteristic value The normal weight coefficient of characteristic quantity；
Relation factor FjTo fault characteristic value CiRelated coefficient be expressed as:
The normal weight coefficient of the corresponding relation factor of every kind of fault characteristic value indicates are as follows:
In formula: Ci_kIndicate the kth group emulation data of i-th kind of line selection mode；Ej_kIt is imitative for the kth group of jth kind relation factor True data.
The data concentrated described in step 2 to relation factor make normalized, by normal corresponding to different faults characteristic quantity Relative score value corresponding to every kind of fault characteristic value is obtained after weight coefficient weighted sum；And according to the opposite of fault characteristic value The method that fault characteristic value variable weight coefficient is calculated in score value and normal weight coefficient includes:
Step 2.1, the data concentrated to relation factor make normalized, formula are as follows:
Step 2.2, on the basis of normalized, acquire score value to fault characteristic value by the weighting of normal weight coefficient, it is public Formula are as follows:
Step 2.3 plays good proportionality action for the configuration to fault characteristic value, according to normal weight coefficient and scoring The variable weight coefficient of relation factor is calculated in value:
In formula: FjFor relation factor；FmaxFor FjIn maximum value；FminFor FjIn minimum value；ωi,jFor every kind of route selection side The normal weight coefficient of relation factor in formula；
The negative one power of representing fault characteristic quantity score value.
Construction subordinating degree function described in step 3 is to reflect relation factor to the influence degree of route selection accuracy rate, according to being subordinate to Spending the method that functional value and fault characteristic value variable weight coefficient construct fault characteristic value evaluations matrix includes:
Step 3.1 is every kind of relation factor of expression to the influence degree of failure line selection accuracy rate, relation factor is evaluated etc. Grade is divided into level Four, be respectively as follows: seriously affect, moderate influence, minimal effect, without influence, construct relation factor and various influence journeys It is as follows to spend corresponding subordinating degree function:
(5) without influencing when, subordinating degree function are as follows:
(6) when minimal effect, subordinating degree function are as follows:
(7) when moderate influence, subordinating degree function are as follows:
(8) when seriously affecting, subordinating degree function are as follows:
Step 3.2 brings the relation factor after normalized into degree of membership that subordinating degree function acquires each influence degree Functional value constructs the evaluations matrix of relation factor are as follows:
Rj=[r1(F′j),r2(F′j),r3(F′j),r4(F′j)]
Then fault characteristic value CiEvaluations matrix may be expressed as:
In formula: ω 'I, 1, ω 'I, 2, ω 'I, 3, ω 'I, 4Indicate i-th kind of line selection mode the 1st, 2,3,4 kind of relation factor Variable weight coefficient.
According to the variable weight coefficient and fault characteristic value evaluations matrix of fault characteristic value described in step 4, failure is sought Correlation model of the Pair Analysis function as reflection route selection accuracy between feature quantity set and relation factor collection, to seek most preferably selecting The method of line mode includes:
Step 4.1, the Pair Analysis function for establishing fault signature quantity set Yu route selection relation factor collection, formula are as follows:
μi=R'i×ET
In formula: E is coefficient matrix；R'iFor fault characteristic value evaluations matrix；
ETRepresent the transposed matrix of coefficient matrix E
Ε=[1, i1,i2,j]
J is opposition degree coefficient, and taking -1, i is diversity factor coefficient, and value is in [- 1,1] section；The value of i is according to equal point-score Processing, value are located at the l-2 l-1 equally divided position in [- 1,1] section, are denoted as:
Step 4.2, relation factor are 4 grades to the influence degree of route selection accuracy rate, i.e. l=4 obtains coefficient matrix are as follows:
E=[1,0.33, -0.33, -1]
Thus the Pair Analysis functional value μ between fault signature quantity set and relation factor collection is calculatedi, μiMiddle minimum value institute Corresponding line selection mode is influenced minimum by relation factor, as best line selection mode.
The invention has the advantages that:
Compared with prior art, the invention has the following beneficial effects:
The present invention is analyzed according to the relation factor to different faults characteristic quantity, has obtained relation factor to fault characteristic value Normal weight coefficient is configured to reflect by weighting the score value for acquiring every kind of line selection mode to obtain its variable weight coefficient Subordinating degree function of the relation factor to fault characteristic value influence degree, the Pair Analysis of calculating fault features amount and relation factor are right The superiority and inferiority of selection method is made an appraisal, and the decision for line selection mode in specific power distribution network provides scheme.
The power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule that the present invention provides a kind of compensates for current The shortcoming of power distribution network route selection analysis and assessment and decision-making technique.This method considers zero-sequence current than active point of width method, zero-sequence current Amount method, quintuple harmonics method, the specific influence factor of zero sequence power method calculate weight coefficient, score value, construct subordinating degree function, The Pair Analysis for seeking relation factor and fault characteristic value obtains the optimal line selection mode under this evaluation decision method, can for The decision of line selection mode is selected to make reference in power grid；The regular distribution net failure line selection mode for solving the prior art can not fit The complex working condition for answering the further development and scene of power distribution network, is unable to reach the technical problems such as higher route selection accuracy rate.
Detailed description of the invention
Fig. 1 is flow diagram of the present invention.
Specific embodiment
A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule, the present invention initially set up fault signature Quantity set and relation factor collection carry out correlation analysis according to the relation factor to different faults characteristic quantity, have obtained relation factor To the normal weight coefficient of fault characteristic value, by weighting the score value for acquiring every kind of line selection mode to obtain its variable weight system Number, is configured to reflection relation factor to the subordinating degree function of fault characteristic value influence degree, calculating fault features amount be associated with The Pair Analysis of factor makes an appraisal to the superiority and inferiority of selection method.
Explanation is refined to further progress of the present invention below with reference to calculation process shown in FIG. 1.
1, the specific structure of input power distribution network and operating parameter；
The operating parameter of power distribution network includes: each feed line length, outlet cable rate, current transformer DC component；
2, input distribution system abort situation: abort situation can be network any position；
3, distribution system fault parameter: fault ground transition resistance is inputted；
4, fault signature quantity set and relation factor collection are established according to distribution network operating parameters and fault parameter:
Fault characteristic value establishes fault signature quantity set C:
Relation factor collection F is established for distribution network fault line selection influence factor:
Wherein relation factor concentrates F2Feed line length variance may be expressed as:
It emulates to obtain fault signature quantity set according to the abort situation of input and relevant parameter and the data of relation factor collection is each Two groups；Simultaneously by fault fluid parameter in practical substation and substation operation parameters obtain fault signature quantity set be associated with because Each two groups of data of element collection.Based on 4 groups of data, the related coefficient between relation factor collection and fault signature quantity set is calculated:
By F1、F2、F3、F4、C1、C2、C3、C4It substitutes into respectively, is then directed to every kind of fault characteristic value CiIt can acquire and relation factor Collect corresponding 4 correlation coefficient ρsi,j(j=1,2,3,4) can then calculate corresponding 4 relation factors of every kind of fault characteristic value Normal weight coefficient are as follows:
The data concentrated to relation factor have as normalized:
The normal weight coefficient according to obtained in formula (4) after formula (5) weighted sum to obtaining corresponding to every kind of fault characteristic value Relative score value:
yi=ωi,1F′1+ωi,2F′2+ωi,3F′3+ωi,4F′4 (6)
In order to which the configuration to fault characteristic value plays good proportionality action, can be counted according to normal weight coefficient and score value Calculation obtains the variable weight coefficient of relation factor:
To indicate that relation factor opinion rating to the influence degree of failure line selection accuracy rate, is divided into level Four by relation factor, Be respectively as follows: seriously affect, moderate influence, minimal effect, without influence, then can construct that relation factor is corresponding with influence degree to be subordinate to It is as follows to spend function:
When without influencing, subordinating degree function are as follows:
When minimal effect, subordinating degree function are as follows:
When moderate influence, subordinating degree function are as follows:
When seriously affecting, subordinating degree function are as follows:
By the F ' after normalizationjBring formula (8), (9), (10), (11) available every kind of relation factor F ' into respectivelyjInstitute is right The evaluations matrix answered:
Rj=[r1(F′j),r2(F′j),r3(F′j),r4(F′j)] (12)
Evaluations matrix R corresponding to different relation factors is sought respectively1、R2、R3、R4, then fault characteristic value CiEvaluation square Battle array can indicate variable weight coefficient matrix and evaluations matrix quadrature:
Then fault signature quantity set and the Pair Analysis function of route selection relation factor collection may be expressed as:
μi=R'i×ET (14)
Wherein, E is coefficient matrix, can be denoted as:
Ε=[1, i1,i2,j] (15)
Wherein, j is opposition degree coefficient, and it is diversity factor coefficient that usual perseverance, which takes -1, i, and value is in [- 1,1] section.This patent The value of middle i can be handled according to equal point-score, and value should be located at the l-2 l-1 equally divided position in [- 1,1] section, can be denoted as:
Relation factor is divided into 4 grades, i.e. l=4 to the influence degree of fault characteristic value in this patent, and coefficient matrix can be obtained Are as follows:
E=[1,0.33, -0.33, -1] (17)
Thus the Pair Analysis functional value μ between fault characteristic value and relation factor collection can be calculatedi:
Calculate the corresponding μ of every kind of fault characteristic valueiValue, wherein line selection mode corresponding to minimum value is influenced by relation factor Minimum is best line selection mode.
Each parameter is meant that in above-mentioned formula:
Ls: the s articles feed line length；
M: feed line length mean value；
N: feedback number of lines；
σ2: feed line length variance；
Ci: the fault characteristic value of different line selection modes；
Fj: influence j-th of relation factor of line selection mode route selection accuracy rate；
ρi,j: relation factor FjTo fault characteristic value CiRelated coefficient；
ωi,j: the normal weight coefficient of relation factor in every kind of line selection mode；
Fmax: FjIn maximum value；
Fmin: FjIn minimum value；
F′j: the relation factor after normalization；
yi: the relative score value of fault characteristic value；
ω′i,j: the variable weight coefficient of relation factor；
γ(F′j): relation factor subordinating degree function value corresponding with influence degree；
Rj: matrix is lifted in relation factor evaluation；
R′i: fault characteristic value evaluations matrix；
E: coefficient matrix；
μi: Pair Analysis function.

Claims (5)

1. a kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule, it includes:
Step 1 establishes fault signature quantity set and relation factor collection for power distribution network selection method, seeks relation factor and failure is special Related coefficient between sign amount simultaneously calculates relation factor to the normal weight coefficient of every kind of fault characteristic value；
Step 2, the data concentrated to relation factor make normalized, by normal weight coefficient corresponding to different faults characteristic quantity Relative score value corresponding to every kind of fault characteristic value is obtained after weighted sum；And according to the relative score value of fault characteristic value and Fault characteristic value variable weight coefficient is calculated in normal weight coefficient；
Step 3: construction subordinating degree function is to reflect relation factor to the influence degree of route selection accuracy rate, according to subordinating degree function value Fault characteristic value evaluations matrix is constructed with fault characteristic value variable weight coefficient；
Step 4: according to fault characteristic value variable weight coefficient and fault characteristic value evaluations matrix, seek fault signature quantity set with Correlation model of the Pair Analysis function as reflection route selection accuracy between relation factor collection, to seek best line selection mode.
2. a kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule according to claim 1, special Sign is: establish fault signature quantity set and relation factor collection for power distribution network selection method described in step 1, seek relation factor and Related coefficient between fault characteristic value simultaneously calculates relation factor and includes: to the method for the normal weight coefficient of every kind of fault characteristic value
Step 1.1 is matched for zero-sequence current than width method, zero-sequence current active component method, quintuple harmonics method, four kinds of zero sequence power method Electric network fault line selection mode, according to its, respectively fault characteristic value establishes fault signature quantity set C；It is influenced for distribution network fault line selection Factor establishes relation factor collection F；
Step 1.2 determines relation factor to fault signature by seeking the related coefficient between relation factor and fault characteristic value The normal weight coefficient of amount；
Relation factor FjTo fault characteristic value CiRelated coefficient be expressed as:
The normal weight coefficient of the corresponding relation factor of every kind of fault characteristic value indicates are as follows:
In formula: Ci_kIndicate the kth group emulation data of i-th kind of line selection mode；Fj_kNumber is emulated for the kth group of jth kind relation factor According to.
3. a kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule according to claim 1, special Sign is: the data concentrated described in step 2 to relation factor make normalized, by Chang Quan corresponding to different faults characteristic quantity Relative score value corresponding to every kind of fault characteristic value is obtained after weight coefficient weighted sum；And it is commented according to the opposite of fault characteristic value The method that fault characteristic value variable weight coefficient is calculated in score value and normal weight coefficient includes:
Step 2.1, the data concentrated to relation factor make normalized, formula are as follows:
Step 2.2, on the basis of normalized, acquire score value to fault characteristic value, formula by the weighting of normal weight coefficient are as follows:
Step 2.3 plays good proportionality action for the configuration to fault characteristic value, according to normal weight coefficient and score value meter Calculation obtains the variable weight coefficient of relation factor:
In formula: FjFor relation factor；FmaxFor FjIn maximum value；FminFor FjIn minimum value；ωi,jFor in every kind of line selection mode The normal weight coefficient of relation factor；
The negative one power of representing fault characteristic quantity score value.
4. a kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule according to claim 1, special Sign is: construction subordinating degree function is described in step 3 to reflect relation factor to the influence degree of route selection accuracy rate, according to degree of membership Functional value and fault characteristic value variable weight coefficient construction fault characteristic value evaluations matrix method include:
Step 3.1 is every kind of relation factor of expression to the influence degree of failure line selection accuracy rate, by relation factor opinion rating point For level Four, be respectively as follows: seriously affect, moderate influence, minimal effect, without influence, construct relation factor and various influence degrees pair The subordinating degree function answered is as follows:
(1) without influencing when, subordinating degree function are as follows:
(2) when minimal effect, subordinating degree function are as follows:
(3) when moderate influence, subordinating degree function are as follows:
(4) when seriously affecting, subordinating degree function are as follows:
Step 3.2 brings the relation factor after normalized into subordinating degree function that subordinating degree function acquires each influence degree Value, constructs the evaluations matrix of relation factor are as follows:
Rj=[r1(F′j),r2(F′j),r3(F′j),r4(F′j)]
Then fault characteristic value CiEvaluations matrix may be expressed as:
In formula: ω 'I, 1, ω 'I, 2, ω 'I, 3, ω 'I, 4Indicate i-th kind of line selection mode the 1st, 2,3, the variable weight of 4 kind of relation factor Weight coefficient.
5. the power distribution network route selection appraisal procedure according to claim 1 based on Set Pair Analysis and correlation rule, feature exist In: according to the variable weight coefficient and fault characteristic value evaluations matrix of fault characteristic value described in step 4, seek fault characteristic value Correlation model of the Pair Analysis function as reflection route selection accuracy between collection and relation factor collection, to seek best line selection mode Method include:
Step 4.1, the Pair Analysis function for establishing fault signature quantity set Yu route selection relation factor collection, formula are as follows:
μi=R'i×ET
In formula: E is coefficient matrix；R'iFor fault characteristic value evaluations matrix；
ETRepresent the transposed matrix of coefficient matrix E
Ε=[1, i1,i2,j]
J is opposition degree coefficient, and taking -1, i is diversity factor coefficient, and value is in [- 1,1] section；The value of i according to equal point-score at Reason, value are located at the l-2 l-1 equally divided position in [- 1,1] section, are denoted as:
Step 4.2, relation factor are 4 grades to the influence degree of route selection accuracy rate, i.e. l=4 obtains coefficient matrix are as follows:
E=[1,0.33, -0.33, -1]
Thus the Pair Analysis functional value μ between fault signature quantity set and relation factor collection is calculatedi, μiCorresponding to middle minimum value Line selection mode influenced minimum by relation factor, as best line selection mode.
CN201811071799.8A 2018-09-14 2018-09-14 A kind of power distribution network route selection appraisal procedure based on Set Pair Analysis and correlation rule Pending CN109242721A (en)

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Application publication date: 20190118