CN108399503A - A kind of overhead transmission line bird pest fault early warning method - Google Patents
A kind of overhead transmission line bird pest fault early warning method Download PDFInfo
- Publication number
- CN108399503A CN108399503A CN201810189088.4A CN201810189088A CN108399503A CN 108399503 A CN108399503 A CN 108399503A CN 201810189088 A CN201810189088 A CN 201810189088A CN 108399503 A CN108399503 A CN 108399503A
- Authority
- CN
- China
- Prior art keywords
- bird pest
- grade
- index
- bird
- weight coefficient
- 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
- 241000607479 Yersinia pestis Species 0.000 title claims abstract description 138
- 238000000034 method Methods 0.000 title claims abstract description 56
- 230000005540 biological transmission Effects 0.000 title claims abstract description 32
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 230000006378 damage Effects 0.000 claims description 10
- 230000002265 prevention Effects 0.000 claims description 9
- 230000000694 effects Effects 0.000 claims description 7
- 238000012544 monitoring process Methods 0.000 claims description 6
- 238000009434 installation Methods 0.000 claims description 5
- 238000010606 normalization Methods 0.000 claims 1
- 230000005611 electricity Effects 0.000 abstract description 5
- 230000002113 chemopreventative effect Effects 0.000 abstract description 3
- 241000218202 Coptis Species 0.000 description 3
- 235000002991 Coptis groenlandica Nutrition 0.000 description 3
- 235000019504 cigarettes Nutrition 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000003786 synthesis reaction Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000001617 migratory effect Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004445 quantitative analysis Methods 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000012067 mathematical method Methods 0.000 description 1
- 238000004451 qualitative analysis Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization 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
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Catching Or Destruction (AREA)
Abstract
This application involves field of power more particularly to a kind of overhead transmission line bird pest fault early warning methods, include the following steps：Establish bird pest grade evaluation number hierarchical chart；According to the geographical feature of bird pest tripping fault and tower structure feature, each index value is determined；The weight coefficient for determining each index establishes bird pest grade Early-warning Model；Divide bird pest grade.By history bird pest fault data, based on the geographical feature of bird pest tripping fault and tower structure feature, bird trouble on transmission line grade evaluation number hierarchical chart is established.The comprehensive evaluation being combined using expert survey and analytic hierarchy process (AHP) determines the weight coefficient of each index, establishes bird pest grade Early-warning Model.Early warning is made to each shaft tower bird pest tripping fault using this method, power department can be instructed to carry out difference chemoprevention bird for the shaft tower of different bird pest grades and administered, prevent electric system massive blackout accident, be of great significance to the safe and stable operation of transmission line of electricity.
Description
Technical field
This application involves field of power more particularly to a kind of overhead transmission line bird pest fault early warning methods.
Background technology
In recent years, as the mankind to awareness of natural ecological environment protection enhance, birds reproduction number gradually increases, birds
Frequent activity.Transmission line of electricity tripping fault caused by bird pest increases year by year, it has also become influences the great of transmission line safety stabilization
One of hidden danger.Therefore, harm of the bird pest to electric system how is effectively taken precautions against, the emphasis of China's power department research is become.
Currently, people make early warning by bird pest failure risk distribution map drawing system to bird pest tripping fault, including with
Lower step：Collect basic document；Statistical analysis basic document；Greenery patches figure is drawn, migratory bird moving channel figure is drawn and draws bird pest
Failure distribution map；Bird Resource distributed data base is established, by statistical analysis basic document and draws greenery patches figure, drafting migratory bird moving
Channel figure, the information for drawing bird pest failure distribution map are collected in the database；According to the information collected in database, drawn
Bird pest failure risk distribution map；According to drawn bird pest failure risk distribution map, bird pest failure is changed in conjunction with historical failure information
Risk distribution figure；According to the bird pest failure risk distribution map, it is grading that bird pest failure risk etc. is occurred into for overhead transmission line
Row is divided into：Very light bird pest area, light bird pest area, middle bird pest area, four, weight bird pest area grade；It is carried out according to four risk class
The judgement of bird pest failure risk, and result is shown.
However, existing bird pest fault early warning method has been merely given as the grade of bird pest failure risk, can not calculate each
The concrete numerical value of base shaft tower bird pest tripping fault risk, the result obtained are not accurate enough.Therefore, being badly in need of one kind at present can prepare
Calculate the bird trouble on transmission line fault early warning method of the concrete numerical value of each base shaft tower bird pest tripping fault risk.
Invention content
This application provides a kind of overhead transmission line bird pest fault early warning methods, can calculate each base shaft tower bird pest and jump
The concrete numerical value of lock failure risk, the result obtained are more accurate.
This application provides a kind of overhead transmission line bird pest fault early warning methods, include the following steps：
S1 establishes bird pest grade evaluation number hierarchical chart；
S2 determines each index value according to the geographical feature and tower structure feature of bird pest tripping fault；
S3 determines the weight coefficient of each index, establishes bird pest grade Early-warning Model；
S4 divides bird pest grade.
Optionally, it in the step 1, according to the 1 of bird pest tripping fault grade of index and 2 grades of indexs, establishes bird pest grade and comments
Valence index hierarchical chart；Wherein,
1 grade of index is geographical feature and tower structure feature, is indicated respectively with m and n；Each 1 grade of index is drawn
Divide 2 grades of indexs；2 grades of indexs of geographical feature include forest zone, farmland, river, lake and pond, use m respectively1、m2、m3、m4And m5
To indicate；2 grades of indexs of tower structure feature include voltage class and shaft tower type, are indicated respectively with v and t.
Optionally, in the step 2, it is according to the method that geographical feature determines each index value：Count shaft tower distance week
The distance for enclosing nearest forest zone, farmland, river, lake and pond, uses l respectively1、l2、l3、l4And l5It indicates；With shaft tower and various regions
The actual range of index is managed as abscissa, using range index value as ordinate, the woods that is obtained using matlab curve matchings
Area index m1With distance l1Relationship, expression formula are：
m1=-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
In order to keep the consistency of data, forest zone index is normalized, m is obtained1With distance l1Relational expression
For：
m1=-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
After the same method, the expression formula m in farmland, river, lake and pond is obtained2、m3、m4And m5。
m2=-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4=1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5=4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)
Optionally, in the step 2, it is according to the method that tower structure feature determines each index value：By voltage class
The weight coefficient of v and shaft tower type t are expressed as wvAnd wt, enable wv=wt=0.5；Statistical history bird pest tripping fault data,
The feature proportion vector for calculating 110kV, 220kV and 500kV shaft tower voltage class, is indicated with V, V is normalized, obtained most
Whole feature proportion vector is denoted as v as shaft tower voltage level parameters value*；Count the spy of linear type shaft tower and strain resistant shaft tower
Proportion vector is levied, is indicated with T, T is normalized, obtains final feature proportion vector as shaft tower type parameter value, note
For t*。
Optionally, in the step 3, the weight coefficient of 1 grade of index is determined using expert survey, is based on using one kind
The meta-synthesis methodology of analytic hierarchy process (AHP) determines 2 grades of weight coefficients under 1 grade of index geographical feature；By m1、m2、m3、m4And m5
It is geographical special relative to 1 grade of index as them apart from ratio of the nearest number in all generation bird pest tripping faults with shaft tower
The importance degree of sign according to the data for calculating acquisition, Judgement Matricies, and then obtains m1、m2、m3、m4And m5Corresponding
Weight coefficient vector (m1、m2、m3、m4、m5、v*、t*), in conjunction with each index weights coefficient acquired, with linear comprehensive weighting method
Can obtain bird pest class index model is:
Wherein, wmFor the weight coefficient of geographical feature, wm1For forest zone index m1Corresponding weight coefficient, wm2For farmland index
m2Corresponding weight coefficient, wm3For river index m3Corresponding weight coefficient, wm4For lake index m4Corresponding weight coefficient, wm5
For pond index m5Corresponding weight coefficient, wnFor the weight coefficient of tower bar structure feature, wvFor the weight coefficient of voltage class v,
wtFor the weight coefficient of shaft tower type t.
Optionally, in the step 4, by section [0,0.1], (0.1,0.25], (0.25,0.45] and (0.45,1] it will
Bird pest is divided into 0,1,2 and 3 four rank, wherein
0 grade is light bird pest rank, which hardly occurs bird pest tripping fault, it is only necessary to a small amount of anti-bird pest of installation
Device even certain shaft towers are without installing bird damage prevention device；
1 grade is middle bird pest grade, which has certain probability that bird pest tripping fault occurs, routinely install anti-bird
The possibility very little of bird pest tripping occurs after evil device；
2 grades of bird pest grades of attaching most importance to, the shaft tower are easier to that bird pest tripping fault occurs, and need installation section effect preferable
Bird damage prevention device, and real time monitoring early warning is carried out to the grade bird pest shaft tower；
3 grades are extra heavy bird pest grade, which is very easy to that bird pest tripping fault occurs, and should install current
The good bird damage prevention device of effect, and real time monitoring early warning is carried out to the grade shaft tower.
By above technical scheme, present applicant proposes a kind of overhead transmission line bird pest fault early warning methods, pass through collection
The historical data of Yunnan Power System bird pest tripping fault over nearly 3 years, according to the geographical feature and tower structure of bird pest tripping fault
Feature establishes bird trouble on transmission line grade evaluation number hierarchical chart.It is combined using expert survey and analytic hierarchy process (AHP)
Integrated evaluating method determine the weight coefficient of each index, establish bird trouble on transmission line grade Early-warning Model, propose bird pest grade
Division methods.The concrete numerical value of each base shaft tower bird pest tripping fault risk can be calculated using this method, the result obtained is more
It is accurate to add.Early warning is made to each shaft tower bird pest tripping fault on this basis, power department can be instructed for different bird pests etc.
The shaft tower of grade carries out difference chemoprevention bird and administers, and prevents electric system massive blackout accident, is transported to the safety and stability of transmission line of electricity
Row is of great significance.
Description of the drawings
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other drawings may also be obtained based on these drawings.
Fig. 1 is a kind of overhead transmission line bird pest fault early warning method flow diagram provided by the present application；
Fig. 2 is bird pest grade evaluation number hierarchical chart provided by the embodiments of the present application；
Fig. 3 is index m in forest zone provided by the embodiments of the present application1With distance l1Structural relation curve graph；
Fig. 4 is that 110kV provided by the embodiments of the present application thanks to the distribution signal of the geographical feature around No. 14 shaft towers of cigarette dragon gold thread
Figure.
Specific implementation mode
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application
Example, and the principle together with specification for explaining the application.
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without creative efforts, other drawings may also be obtained based on these drawings.
It is a kind of overhead transmission line bird pest fault early warning method flow diagram provided by the present application referring to Fig. 1.
This application provides a kind of overhead transmission line bird pest fault early warning methods, include the following steps：
S1 establishes bird pest grade evaluation number hierarchical chart；
S2 determines each index value according to the geographical feature and tower structure feature of bird pest tripping fault；
S3 determines the weight coefficient of each index, establishes bird pest grade Early-warning Model；
S4 divides bird pest grade.
The application is by collecting the historical data of Yunnan Power System 2014 to bird pest tripping fault over 3 years in 2016, with bird
Based on the geographical feature and tower structure feature of evil tripping fault, according to the geographical feature of bird pest tripping fault and shaft tower knot
Structure feature, establishes bird trouble on transmission line grade evaluation number hierarchical chart, is mutually tied with analytic hierarchy process (AHP) using expert survey
The integrated evaluating method of conjunction determines the weight coefficient of each index, establishes bird trouble on transmission line grade Early-warning Model, proposes bird pest etc.
Grade division methods.
It is bird pest grade evaluation number hierarchical chart provided by the embodiments of the present application referring to Fig. 2.
Optionally, it in the step 1, according to the 1 of bird pest tripping fault grade of index and 2 grades of indexs, establishes bird pest grade and comments
Valence index hierarchical chart；Wherein, 1 grade of index is geographical feature and tower structure feature, is indicated respectively with m and n；Often
One 1 grade of index is according to 2 grades of indexs of division the case where itself；2 grades of indexs of geographical feature include forest zone, farmland, river, lake
And pond, m is used respectively1、m2、m3、m4And m5To indicate；2 grades of indexs of tower structure feature include voltage class and shaft tower type,
It is indicated respectively with v and t.
Referring to Fig. 3, the application provides the forest zone index m of embodiment1With distance l1Structural relation curve graph.
Optionally, in the step 2, it is according to the method that geographical feature determines each index value：By GIS-Geographic Information System
Arcgis counts the distance for obtaining the shaft tower forest zone nearest apart from surrounding, farmland, river, lake and pond, uses l respectively1、l2、
l3、l4And l5It indicates；The relationship of bird pest probability of malfunction and distance is obtained by curve matching according to history bird pest failure.To bird
It is found that the distance between shaft tower and every geographical feature index are closer, bird occurs for shaft tower for the analysis of evil failure shaft tower geographical feature
The possibility of evil tripping fault is higher, and the range index value of corresponding geographical feature should be bigger, i.e., each geographical characteristic index with
Distance relation is monotone decreasing.When being actually fitted, using the actual range of shaft tower and each geographical indicator as abscissa, with away from
From index value as ordinate, the forest zone index m obtained using matlab curve matchings1With distance l1Relationship, expression formula are：
m1=-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
In order to keep the consistency of data, forest zone index is normalized, m is obtained1With distance l1Relational expression
For：
m1=-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
After the same method, the expression formula m in farmland, river, lake and pond is obtained2、m3、m4And m5。
m2=-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4=1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5=4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)
Optionally, in the step 2, it is according to the method that tower structure feature determines each index value：By voltage class
The weight coefficient of v and shaft tower type t are expressed as wvAnd wt, enable wv=wt=0.5；Statistical history bird pest tripping fault data,
The feature proportion vector for calculating 110kV, 220kV and 500kV shaft tower voltage class, is indicated with V, V is normalized, obtained most
Whole feature proportion vector is denoted as v as shaft tower voltage level parameters value*；Count the spy of linear type shaft tower and strain resistant shaft tower
Proportion vector is levied, is indicated with T, T is normalized, obtains final feature proportion vector as shaft tower type parameter value, note
For t*。
Optionally, in the step 3, the weight coefficient of 1 grade of index is determined using expert survey, is based on using one kind
The meta-synthesis methodology of analytic hierarchy process (AHP) determines 2 grades of weight coefficients under 1 grade of index geographical feature；By m1、m2、m3、m4And m5
It is geographical special relative to 1 grade of index as them apart from ratio of the nearest number in all generation bird pest tripping faults with shaft tower
The importance degree of sign according to the data for calculating acquisition, Judgement Matricies, and then obtains m1、m2、m3、m4And m5Corresponding
Weight coefficient vector (m1、m2、m3、m4、m5、v*、t*), in conjunction with each index weights coefficient acquired, with linear comprehensive weighting method
Can obtain bird pest class index model is:
Wherein, wmFor the weight coefficient of geographical feature, wm1For forest zone index m1Corresponding weight coefficient, wm2For farmland index
m2Corresponding weight coefficient, wm3For river index m3Corresponding weight coefficient, wm4For lake index m4Corresponding weight coefficient, wm5
For pond index m5Corresponding weight coefficient, wnFor the weight coefficient of tower bar structure feature, wvFor the weight coefficient of voltage class v,
wtFor the weight coefficient of shaft tower type t.
The application determines the weight of each index using the comprehensive evaluation that expert survey and analytic hierarchy process (AHP) are combined
Coefficient establishes bird pest grade Early-warning Model.The determination of 1 grade of evaluation criterion weight coefficient：1 grade of evaluation index geographical feature and shaft tower
Independence between this 2 indexs of structure feature is strong, it is difficult to contact, the power for determining the two can not be gone with the method for quantitative analysis
Weight is only capable of showing that the weight coefficient of geographical feature can be higher than the power of tower structure feature according to the operating experience of electric system for many years
The conclusion of weight coefficient.Therefore, the application takes expert survey to determine the weight coefficient of 1 grade of index.By seeking advice from Yunnan electricity
10 experts with abundant operating experience of more families directly under power supply unit are netted, each expert is obtained and is carried by their rich experiences
The value of the 1 grade of index weights coefficient supplied.
The determination of 2 grades of evaluation criterion weight coefficients：Analytic hierarchy process (AHP) (Analytic Hierarchy Process, AHP)
It is a kind of mathematical method by qualitative analysis and quantitative analysis comprehensive consideration.It is decomposed layer by layer for target, for same level
Factor compared two-by-two, show that they, for the importance of last layer time same factor, finally obtain each factor of the bottom
To the weight of top target, to the decision of problem of implementation.
The application is determined under 1 grade of index geographical feature using a kind of based on the meta-synthesis methodology of analytic hierarchy process (AHP)
The weight of 2 grades of indexs.By m1、m2、m3、m4And m5Ratio with shaft tower apart from nearest number in all generation bird pest tripping faults
Example is as their importance degrees relative to 1 grade of index geographical feature, according to the data for calculating acquisition, Judgement Matricies,
And then obtain m1、m2、m3、m4And m5Corresponding weight coefficient vector.Pass through bird trouble on transmission line assessment of fault indicator vector, knot
Each index weights coefficient acquired is closed, bird pest class index model can be obtained with linear comprehensive weighting method.
Optionally, in the step 4, by section [0,0.1], (0.1,0.25], (0.25,0.45] and (0.45,1] it will
Bird pest is divided into 0,1,2 and 3 four rank, wherein
0 grade is light bird pest rank, which hardly occurs bird pest tripping fault, it is only necessary to a small amount of anti-bird pest of installation
Device even certain shaft towers are without installing bird damage prevention device；
1 grade is middle bird pest grade, which has certain probability that bird pest tripping fault occurs, routinely install anti-bird
The possibility very little of bird pest tripping occurs after evil device；
2 grades of bird pest grades of attaching most importance to, the shaft tower are easier to that bird pest tripping fault occurs, and need installation section effect preferable
Bird damage prevention device, and real time monitoring early warning is carried out to the grade bird pest shaft tower；
3 grades are extra heavy bird pest grade, which is very easy to that bird pest tripping fault occurs, and should install current
The good bird damage prevention device of effect, and real time monitoring early warning is carried out to the grade shaft tower.
Referring to Fig. 4, thank to the distribution of the geographical feature around No. 14 shaft towers of cigarette dragon gold thread for 110kV provided by the embodiments of the present application
Situation schematic diagram.
Know that the 110kV of in September, 2014 thanks to No. 14 shaft towers of cigarette dragon gold thread and occurs by 3 years bird pest tripping fault records of Yunnan Power System
Bird pest tripping fault searches shaft tower equipment account record and knows that the shaft tower is anchor support, position in Google's satellite map
As shown in Figure 4.As seen from Figure 4, the distance in the shaft tower forest zone nearest apart from surrounding is 40 meters, and farmland is 88 meters, lake
It is 522 meters, brings formula into and calculate separately to obtain m1=0.6866, m2=0.6261, m3=0.2085.Due to the shaft tower from river and
The distance in lake farther out, therefore m3=m5=0.The shaft tower v=0.4886, t=0.8546 are calculated to obtain, brings bird pest rating calculation into
Formula obtains risk=0.6005, illustrates that the shaft tower bird pest grade is extra heavy bird pest grade, is easy to happen bird pest trip accident, it was demonstrated that
The validity of the model.
By above technical scheme, present applicant proposes a kind of overhead transmission line bird pest fault early warning methods, pass through collection
The historical data of Yunnan Power System bird pest tripping fault over nearly 3 years, according to the geographical feature and tower structure of bird pest tripping fault
Feature establishes bird trouble on transmission line grade evaluation number hierarchical chart.It is combined using expert survey and analytic hierarchy process (AHP)
Integrated evaluating method determine the weight coefficient of each index, establish bird trouble on transmission line grade Early-warning Model, propose bird pest grade
Division methods.The concrete numerical value of each base shaft tower bird pest tripping fault risk can be calculated using this method, the result obtained is more
It is accurate to add.Early warning is made to each shaft tower bird pest tripping fault on this basis, power department can be instructed for different bird pests etc.
The shaft tower of grade carries out difference chemoprevention bird and administers, and prevents electric system massive blackout accident, is transported to the safety and stability of transmission line of electricity
Row is of great significance.
The above is only the specific implementation mode of the application, is made skilled artisans appreciate that or realizing this Shen
Please.Various modifications to these embodiments will be apparent to one skilled in the art, as defined herein
General Principle can in other embodiments be realized in the case where not departing from spirit herein or range.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
It should be understood that the application is not limited to the content for being described above and being shown in the accompanying drawings, and can
To carry out various modifications and change without departing from the scope.Scope of the present application is only limited by the accompanying claims.
Claims (6)
1. a kind of overhead transmission line bird pest fault early warning method, which is characterized in that include the following steps：
S1 establishes bird pest grade evaluation number hierarchical chart；
S2 determines each index value according to the geographical feature and tower structure feature of bird pest tripping fault；
S3 determines the weight coefficient of each index, establishes bird pest grade Early-warning Model；
S4 divides bird pest grade.
2. overhead transmission line bird pest fault early warning method according to claim 1, which is characterized in that the step 1
In, according to the 1 of bird pest tripping fault grade of index and 2 grades of indexs, establish bird pest grade evaluation number hierarchical chart；Wherein,
1 grade of index is geographical feature and tower structure feature, is indicated respectively with m and n；Each 1 grade of index divides 2 grades
Index；2 grades of indexs of geographical feature include forest zone, farmland, river, lake and pond, use m respectively1、m2、m3、m4And m5Carry out table
Show；2 grades of indexs of tower structure feature include voltage class and shaft tower type, are indicated respectively with v and t.
3. overhead transmission line bird pest fault early warning method according to claim 2, which is characterized in that the step 2
In, it is according to the method that geographical feature determines each index value：Count the shaft tower forest zone nearest apart from surrounding, farmland, river, lake
The distance of pool and pond, uses l respectively1、l2、l3、l4And l5It indicates；Using the actual range of shaft tower and each geographical indicator as horizontal seat
Mark, using range index value as ordinate, the forest zone index m that is obtained using matlab curve matchings1With distance l1Relationship, expression
Formula is：
m1=-2.99*10-8l1 3+2.86*10-5l1 2-9.17*10-3l1+1.03 (1)
In order to keep the consistency of data, forest zone index is normalized, m is obtained1With distance l1Relational expression be：
m1=-2.90*10-8l1 3+2.78*10-5l1 2-8.90*10-3l1+1 (2)
After the same method, the expression formula m in farmland, river, lake and pond is obtained2、m3、m4And m5。
m2=-6.63*10-9l2 3+9.91*10-6l2 2-5.07*10-3l2+1 (3)
m4=1.57*10-9l4 3-2.23*10-6l4 2-7.80*10-4l4+1 (5)
m5=4.06*10-10l5 3-4.35*10-7l5 2-8.82*10-4l5+1 (6)。
4. overhead transmission line bird pest fault early warning method according to claim 2, which is characterized in that the step 2
In, it is according to the method that tower structure feature determines each index value：By the weight coefficient of voltage class v and shaft tower type t point
W is not expressed as itvAnd wt, enable wv=wt=0.5；Statistical history bird pest tripping fault data calculate 110kV, 220kV and 500kV bar
The feature proportion vector of tower voltage class, is indicated with V, V is normalized, obtain final feature proportion vector as shaft tower
Voltage level parameters value, is denoted as v*；The feature proportion vector for counting linear type shaft tower and strain resistant shaft tower, is indicated with T, to T into
Row normalization, obtains final feature proportion vector as shaft tower type parameter value, is denoted as t*。
5. according to claim 3 or 4 any one of them overhead transmission line bird pest fault early warning methods, which is characterized in that institute
It states in step 3, the weight coefficient of 1 grade of index is determined using expert survey, using a kind of comprehensive collection based on analytic hierarchy process (AHP)
2 grades of weight coefficients under 1 grade of index geographical feature are determined at enabling legislation；By m1、m2、m3、m4And m5Nearest time with shaft tower distance
Ratio of the number in all generation bird pest tripping faults is as their importance degrees relative to 1 grade of index geographical feature, root
According to the data for calculating acquisition, Judgement Matricies, and then obtain m1、m2、m3、m4And m5Corresponding weight coefficient vector (m1、
m2、m3、m4、m5、v*、t*), in conjunction with each index weights coefficient acquired, bird pest grade can be obtained with linear comprehensive weighting method
Exponential model is:
Wherein, wmFor the weight coefficient of geographical feature, wm1For forest zone index m1Corresponding weight coefficient, wm2For farmland index m2It is right
The weight coefficient answered, wm3For river index m3Corresponding weight coefficient, wm4For lake index m4Corresponding weight coefficient, wm5For pond
Pool index m5Corresponding weight coefficient, wnFor the weight coefficient of tower bar structure feature, wvFor the weight coefficient of voltage class v, wtFor
The weight coefficient of shaft tower type t.
6. overhead transmission line bird pest fault early warning method according to claim 1, which is characterized in that the step 4
In, by section [0,0.1], (0.1,0.25], (0.25,0.45] and (0.45,1] bird pest is divided into 0,1,2 and 3 four rank,
Wherein,
0 grade is light bird pest rank, which hardly occurs bird pest tripping fault, it is only necessary to install a small amount of bird damage prevention device
Even certain shaft towers are without installing bird damage prevention device；
1 grade is middle bird pest grade, which has certain probability that bird pest tripping fault occurs, and routinely installs anti-bird pest dress
Postpone the possibility very little that bird pest tripping occurs；
2 grades of bird pest grades of attaching most importance to, the shaft tower are easier to that bird pest tripping fault occurs, and need the preferably anti-bird of installation section effect
Evil device, and real time monitoring early warning is carried out to the grade bird pest shaft tower；
3 grades are extra heavy bird pest grade, which is very easy to that bird pest tripping fault occurs, and should install current effect
Good bird damage prevention device, and real time monitoring early warning is carried out to the grade shaft tower.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810189088.4A CN108399503A (en) | 2018-03-08 | 2018-03-08 | A kind of overhead transmission line bird pest fault early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810189088.4A CN108399503A (en) | 2018-03-08 | 2018-03-08 | A kind of overhead transmission line bird pest fault early warning method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108399503A true CN108399503A (en) | 2018-08-14 |
Family
ID=63092076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810189088.4A Pending CN108399503A (en) | 2018-03-08 | 2018-03-08 | A kind of overhead transmission line bird pest fault early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108399503A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583683A (en) * | 2018-10-15 | 2019-04-05 | 广东工业大学 | A kind of efficiency evaluation method of bird trouble on transmission line protective device |
| CN110378549A (en) * | 2019-05-31 | 2019-10-25 | 广东工业大学 | A kind of transmission tower bird pest grade appraisal procedure based on FAHP- entropy assessment |
| CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
| CN113267710A (en) * | 2021-06-29 | 2021-08-17 | 广东电网有限责任公司 | Power transmission line bird damage monitoring method, device, equipment and storage medium |
| CN113889951A (en) * | 2020-09-17 | 2022-01-04 | 广东电网有限责任公司广州供电局 | Bird damage defense information system for overhead transmission line |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101662134A (en) * | 2009-03-12 | 2010-03-03 | 福建省厦门电业局 | High-voltage transmission overhead line bird damage prevention device |
| CN107239651A (en) * | 2017-04-17 | 2017-10-10 | 国网辽宁省电力有限公司电力科学研究院 | A kind of method that power network birds droppings class failure risk grade is assessed |
-
2018
- 2018-03-08 CN CN201810189088.4A patent/CN108399503A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101662134A (en) * | 2009-03-12 | 2010-03-03 | 福建省厦门电业局 | High-voltage transmission overhead line bird damage prevention device |
| CN107239651A (en) * | 2017-04-17 | 2017-10-10 | 国网辽宁省电力有限公司电力科学研究院 | A kind of method that power network birds droppings class failure risk grade is assessed |
Non-Patent Citations (1)
| Title |
|---|
| 陈小志: ""输电线路鸟害预警模型及***的设计与实现"", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109583683A (en) * | 2018-10-15 | 2019-04-05 | 广东工业大学 | A kind of efficiency evaluation method of bird trouble on transmission line protective device |
| CN109583683B (en) * | 2018-10-15 | 2023-05-02 | 广东工业大学 | Effectiveness evaluation method of bird damage protection device of power transmission line |
| CN110378549A (en) * | 2019-05-31 | 2019-10-25 | 广东工业大学 | A kind of transmission tower bird pest grade appraisal procedure based on FAHP- entropy assessment |
| CN110378549B (en) * | 2019-05-31 | 2023-05-23 | 广东工业大学 | Transmission tower bird damage grade assessment method based on FAHP-entropy weight method |
| CN112070406A (en) * | 2020-09-11 | 2020-12-11 | 国网北京市电力公司 | Equipment risk processing method and device for power transmission equipment and electronic device |
| CN113889951A (en) * | 2020-09-17 | 2022-01-04 | 广东电网有限责任公司广州供电局 | Bird damage defense information system for overhead transmission line |
| CN113267710A (en) * | 2021-06-29 | 2021-08-17 | 广东电网有限责任公司 | Power transmission line bird damage monitoring method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108399503A (en) | A kind of overhead transmission line bird pest fault early warning method | |
| CN104123682B (en) | A kind of Distribution Network Failure methods of risk assessment based on meteorological effect factor | |
| CN102629294B (en) | Probability evaluation method of failure caused by typhoon to power transmission line | |
| CN108733966A (en) | A kind of multidimensional electric energy meter field thermodynamic state verification method based on decision woodlot | |
| CN111177101A (en) | Power distribution network multidimensional visualization platform based on big data architecture | |
| CN104182830B (en) | A kind of distribution Power System Reliability weak link method for digging based on multidimensional analysis | |
| CN105427019B (en) | A kind of geographical meteorological related transmission line of electricity risk difference evaluation method | |
| CN107239651A (en) | A kind of method that power network birds droppings class failure risk grade is assessed | |
| CN104657822A (en) | Power system disaster warning grading method and system based on risk evaluation result | |
| CN104732058B (en) | A kind of appraisal procedure of various dimensions transmission facility state | |
| CN104819107B (en) | The diagnostic method and system of a kind of Wind turbines power curve drift extremely | |
| CN107316163A (en) | A kind of district disaster methods of risk assessment | |
| CN102934312A (en) | Energy generating system and control thereof | |
| CN109657966A (en) | Transmission line of electricity risk composite valuations method based on fuzzy mearue evaluation | |
| CN103886518A (en) | Early warning method for voltage sag based on electric energy quality data mining at monitoring point | |
| CN107704992A (en) | The method and device of transmission line lightning stroke risk assessment | |
| CN110147917B (en) | Safety assessment and dynamic regulation and control method for power grid line | |
| CN112686405A (en) | Power distribution network fault area division method based on fault tree | |
| CN104655986A (en) | Method for judging lightning stroke fault point of tripped transmission line | |
| CN104021304A (en) | Installation priority level evaluation method for on-line monitoring devices of transformers | |
| CN106526710A (en) | Haze prediction method and device | |
| CN105930900A (en) | Method and system for predicting hybrid wind power generation | |
| CN108960522A (en) | A kind of photovoltaic power generation quantity prediction analysis method | |
| CN115115163A (en) | Method for evaluating fault risk degree of transmission line tower under typhoon crossing and storage medium | |
| CN108828332A (en) | A method of calculating lightning location system detection efficient |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180814 |
|
| RJ01 | Rejection of invention patent application after publication |