CN104657830B - Overhead transmission line runs the appraisal procedure of data - Google Patents

Overhead transmission line runs the appraisal procedure of data Download PDF

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CN104657830B
CN104657830B CN201510101984.7A CN201510101984A CN104657830B CN 104657830 B CN104657830 B CN 104657830B CN 201510101984 A CN201510101984 A CN 201510101984A CN 104657830 B CN104657830 B CN 104657830B
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mrow
msub
transmission line
unit
munderover
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CN104657830A (en
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陈辅辉
许德斌
段尚琪
吴让新
胡昌斌
黄双得
王胜伟
王宾
周自更
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Chang Feng Technology Co ltd
Yunnan Power Grid Co Ltd
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Chang Feng Technology Co ltd
Kunming Power Supply Bureau of Yunnan Power Grid Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The present invention relates to a kind of electric system, more particularly to a kind of appraisal procedure of overhead transmission line operation data, by establishing evaluation index parameter regime and small-world network and Bayesian network combine recommendation network, under the evaluation index parameter regime and recommendation network of Condition of Overhead Transmission Lines Based, the logical pretreatment to data under evaluation index parameter regime and priori valuation analysis transmission line of electricity operation data, carry out overhead transmission line operation and management, the change of circuit key operating status can be grasped in time, and solid foundation is established for the repair based on condition of component of transmission line of electricity.

Description

Overhead transmission line runs the appraisal procedure of data
Technical field
The present invention relates to a kind of electric system, and in particular to a kind of appraisal procedure of overhead transmission line operation data.
Background technology
Transmission line of electricity is the important component of electric system, once the safety and stability of system can be seriously affected by breaking down Operation, the past U.S. have a power failure on a large scale exactly because the favourable monitoring of potential faults shortage to overhead transmission line is drawn with Canadian Rise, therefore have great importance to transmission line of electricity effective monitoring, management and maintenance.Power system management is information-based in recent years Quickly grow, the management of transmission line of electricity is no exception, and relevant with Condition-based Maintenance of Transmission Line static data and periodic detection obtain The detection data obtained mostly have been carried out computer management, but also have some important transmission line of electricity operating statuses and failure still Need to solve, for the operation of whole overhead transmission line and fault comprehensive check and evaluation system with according to certain mathematical model foundation The foundation of the appraisal procedure of overhead transmission line operation data is analyzed, in order to effectively prevent and reduce line accident, improves circuit Operation and management level are very important.
The content of the invention
The present invention relates to a kind of appraisal procedure of overhead transmission line operation data, by establishing evaluation index parameter regime Database and small-world network and Bayesian network combine recommendation network, join the evaluation index of Condition of Overhead Transmission Lines Based Amount system is with recommendation network, leading to the pretreatment to data under evaluation index parameter regime and priori valuation analysis transmission line of electricity fortune Row data.Overhead transmission line operation and management are carried out, the change of circuit key operating status can be grasped in time, be power transmission line The repair based on condition of component on road establishes solid foundation.
Overhead transmission line described above includes basis and protective equipment, tower bar, grounded-line, insulator chain, gold utensil, anti- Thunder facility and 8 earthing or grounding means, line protection area, people having a common goal's environment units.Small-word networks network layers described above and Bayesian network Mix in recommendation network, small-word networks network layers are made of several small-world networks.
The small-world network model is that one kind has shorter average path length, and the net with higher cluster coefficients The general name of network, the small-world network that the present invention is established have interconnection using the component units of transmission line of electricity as node between unit Relation links together, and a Ge great communities are established according to interconnected relationship between unit, using module optimization method by big community Clique is divided into, which is formed small-world network, and big community described above is whole overhead transmission line, small World's network to form each transmission of electricity branch of the overhead transmission line, it is all using optimization methods by whole overhead transmission line Road is divided into small-world network, the high cluster property of the small-world network utilized, reduces the error of artificial division branch so that each A transmission of electricity branch is channel modularized more accurate, also allows for the problem of detection is with processing transmission line of electricity.
Bayesian network is that a kind of uncertainty knowledge expression and inference pattern, Interconnection Inference are managed based on Bayesian probability By, reasoning process is substantially exactly probability calculation, i.e. an event can or can not depend on the event in prior distribution Number through occurring, if A1,A2,...AnIt is the event of mutual exclusion two-by-two, cuts prior probability P (A1) >=0, another event B are total It is and A1,A2,...AnOne of occur at the same time, its probability of happening P (B | Ak) it is known that then Bayes's calculating posterior probability is:
In order to realize the above object present invention employs technical solution be:
A kind of appraisal procedure based on overhead transmission line operation data, including step once:
Step 1:Build the database of the evaluation index parameter regime of Condition of Overhead Transmission Lines Based;
Step 2:The small-word networks network layers and Bayesian network combine recommendation network of Condition of Overhead Transmission Lines Based assessment Structure structure;
Step 3:The network structure established according to step 2, to each evaluation index parameter of Condition of Overhead Transmission Lines Based Data carry out pretreatment and priori valuation;
Step 4:Mould is carried out according to the network structure and the result of the pretreatment drawn of step 2 and step 3 and priori valuation Intend data reasoning;
Step 5:Judged with reference to step 4 the reasoning results.
Preferentially, overhead transmission line is made of some overhead transmission line branches, and small-word networks network layers have some small generation Boundary network composition, each overhead transmission line branch include basis and protective equipment, tower bar, grounded-line, insulator chain, gold utensil, Lightning protection facility and 8 earthing or grounding means, line protection area, channel environment units, 8 units correspond to different state variables, it is special Sign is that the evaluation index parameter regime of the Condition of Overhead Transmission Lines Based corresponds to different states for 8 units Numerical value of deducting points, is input to the evaluation index parameter regime of control device foundation by the different deduction of points carried out of the degradation of variable.
Preferentially, the structure that combine recommendation network is established in the step 2 is established, and is divided into two parts, small-world network The foundation of layer and the foundation of Bayesian network, single small-world network represent the connection relation of a certain transmission line of electricity tributary unit;
The establishment step of the small-word networks network layers:
1.1):The unit for forming overhead transmission line is numbered, common n unit, aij=1 represents i units and j units There is a dependence, no dependence then aijFor 0, by the unit connection relation matrix A in whole transmission line of electricityn×nRepresent, build Vertical one big overhead transmission line connection network;
1.2):By unit connection relation A in whole transmission line of electricityn×nRearrange, Rankine-Hugoniot relations is with matrix D-1M is mould Type;
1.3):Calculate the matrix D of the unit connection relation 1.2) obtained-1The preceding K maximal eigenvector v of M1,v2,..., vk
1.4):With file v1,v2,...,vkRepresent, establish new unit connection relation matrix T ∈ Rn×K
1.5):The ranks of above-mentioned matrix T are subjected to cluster differentiation using K average clusters method, matrix T is become into K square Matrix representation C1,C2,...,Ck;In the obtained small-world network that the matrix needs for us between unit dependence square Formation formula, so as to establish small-word networks network layers;
Wherein An×nRepresent the matrix method for expressing of the connection relation of whole transmission line of electricity, transmission line of electricity branch is K, K roots Artificially determined according to environment, road conditions factor, D-1D in M-1It is An×nTransposed matrix, M is and An×nIt is related;
diFor the degree of i-th of unit, i.e. i is the connection side number of the unit,Pij=didj/ 2m, m be whole overhead transmission line connection side number summation, S be n × K matrix, wherein SiK=1 is that unit i belongs to VK, it is no It is then 0;VKFor K subnet, Mij=Aij-Pij
It is using the unit in overhead transmission line as node that the Bayesian network, which is established, and the line between node is saved from father The network model that the directed edge of point to node is established.
Preferentially, pretreatment of the step 2 to a evaluation index parametric data with priori valuation is stored according to history Unit state variable corresponding with unit operation data, draw the weight of state variable, the weight of unit and state variable Degree of membership, the operating status of unit;
The weight of state variable:
wiFor the weight of i-th of quantity of state, aijWith j quantity of state for the disturbance degree of corresponding unit, i's takes for expression i-th Value it is related with the number of the quantity of state of corresponding unit, j values for 1 to 8 respectively correspond to 8 kinds of units, q be ith count when Between section (such as 1 year), vqikFor the q times detection data under i-th of quantity of state correspondence in the number of k degradations, bqimFor The corresponding unit of i-th of equipment is in the number of m state-detections under the data of the q times detection, and the value of k is 1,2,3,4, with The degradation of state variable, the value of m is respectively 1,2,3,4 states point with unit;
Quantity of state degree of membership formula is as follows:
ciExpression is the degree of membership of the corresponding quantity of state of certain unit, and degree of membership is normalized and becomes CiSo that meet
The operating status of unit:
Z in formulajFor the performance indicator of j-th of unit, aiFor the degradation of i-th of quantity of state, CijFor aiRelative to Zj's Degree of membership, wiFor the weight coefficient of i-th of quantity of state.
Preferentially, the digital simulation reasoning carried out in step 4, the difference of transmission line of electricity branch is drawn using Bayes principle Operating status probability, and in the case of the determine the probability of the different operating statuses of transmission line of electricity branch, various units The probability of different operating statuses.
Preferentially, state variable is respectively I, II, III and IV grade, its is right according to degradation from gently to being divided into level Four again The basic deduction of points value answered is 2,4,8,10 points;Unit operating status is divided into good, general, attention, bad four a variety of operating statuses, ZjIt is kilter less than 2, more than 2 is general state less than or equal to 4, more than 4 is attention state less than or equal to 8, is less than or equal to 10 more than 8 be bad shape body;The operating status probability of transmission line of electricity branch by good operation, general operation, pay attention to operation with not The sum of good operation probability composition, four kinds of probability are 1.
The present invention establishes network knot by establishing the evaluation index parameter regime of Condition of Overhead Transmission Lines Based Structure, pre-processes indices parameter and priori valuation, then carries out data reasoning, judges the operation of overhead transmission line Situation, ensures overhead transmission line safely and effectively health operation.
Figure of description
The basic structure schematic diagram of Fig. 1, Bayesian network of the present invention;
Fig. 2, overhead transmission line of the present invention run the flow chart of the appraisal procedure of data.
Embodiment
The present invention relates to a kind of appraisal procedure of overhead transmission line operation data, the overhead transmission line includes basis And protective equipment, tower bar, grounded-line, insulator chain, gold utensil, lightning protection facility and earthing or grounding means, line protection area, channel environment 8 A unit, 8 units correspond to different state variables respectively, and the division of the degradation of state variable is as it was previously stated, the shape Evaluation index parameter regime of the division of the degradation of state variable as Condition of Overhead Transmission Lines Based, according to state variable The situation of degradation and the state variable of historical storage and the data of unit judge the operating status of leading unit, according to list The operating status of member judges the operating condition of transmission line of electricity branch, according to the operating condition of transmission line of electricity branch to faulty defeated Where the problem of electric line branch failure judgement, data assessment is using mathematical model as foundation, specifically based on small-word networks network layers With the mathematical model of Bayesian network combine recommendation network.
According to described above, the evaluation index parameter body of the invention for initially setting up structure Condition of Overhead Transmission Lines Based System, the evaluation index parameter regime of foundation be using the corresponding state variable of unit as foundation, the partitioning standards of state variable with The degradation of state variable is from gently to being divided into I, II, III, IV level Four, 8 units pair that overhead transmission line includes again The weight grading standard of the deterioration order of severity for the various state variables answered:
1) base unit includes:Visual condition, geological state and protection three quantity of states of facilities.
I grades
(1) visual condition:Basis is without weathering, burn into crackle, breakage, burn, metal part non-corroding, metal without fracture, Deformation, base matrix non-displacement, torsion, on pull out, settle, basic upright bar leakage, concurrent chassis, pulling plate be buried and chuck Position meets design requirement;
(2) geological condition:Geological state is stablized, no landslide, landslide, wash away phenomenon;
(3) protective equipment situation:The facilities such as backfill is intact, bank protection, retaining wall, gutter in order, stablize.
II grades
(1) visual condition:Basic slight weathering, burn into crackle, breakage, burn, the slight corrosion of metal part, Metal Substrate Plinth is without fracture, deformation, and base matrix non-displacement, reverse, have and pull out or settle on slight, and basic upright bar leakage is close to or up to design It is required that, concurrent chassis, pulling plate is buried and chuck position substantially conforms to design requirement;
(2) geological condition:Geological state is stablized, without caving in, come down, have wash away phenomenon
(3) protective equipment situation:The facility situations such as backfill is intact, bank protection, retaining wall, gutter are basicly stable, have by Walk the trend broken.
III grade
(1) visual condition:Basic weathering, burn into crackle, breakage, burn, metal part corrosion, metal foundation without fracture, Have a local deformation, base matrix slight displacement, reverse, have on pull out or settle, basic upright bar leakage is beyond design requirement value, coagulation Native electric pole chassis, pulling plate is buried and with design severe deviations occur for chuck position;
(2) geological condition:Geological state is extremely unstable, there is landslide, landslide, wash away phenomenon;
(3) protective equipment situation:The facilities such as backfill is imperfect, bank protection, retaining wall, gutter are badly damaged.
IV grades
(1) visual condition:Basis serious weathering, burn into crackle, breakage, burn, metal foundation fracture, deformation, basis is originally Position moves, reverses, it is serious on pull out or settle, basic upright bar leakage is buried more than design requirement value, concurrent chassis, pulling plate And with design gross error occurs for chuck position;
(2) geological condition:Geological state is unstable, there is landslide, landslide, wash away phenomenon;
(3) protective equipment situation:The facilities such as backfill is imperfect, bank protection, retaining wall, gutter are badly damaged.
2) shaft tower unit evaluation includes:Tower bar tilts, tower bar cross-arm is crooked, tower bar ironware surface condition, main material adjacent segments Six point situation, armored concrete situation, anchoring quantity of states;
I grades
(1) tower bar tilts (including degree of disturbing) less than 3 ‰;
(2) tower bar cross-arm is crooked:110kV and following circuit are less than 5 ‰, 220kV circuits and are less than less than 3.5 ‰, 500kV 2‰;
(3) tower bar ironware surface zinc layers it is intact, without come off, rustless stain, iron tower structure it is intact, main material is existing without deformation, fracture As
(4) main material adjacent node curvature is no more than 1/750, and tower material each several part is connected firmly, is complete;
(5) reinforced concrete pole unprotect layer corrosion come off, reinforcing steel bars exposed;
(6) anchoring is perfect, non-loosening, presented shares, stranded, corrosion phenomena, guyed foundation without sink, landslide, to lack soil existing As.
II grades
(1) tower bar tilts (including degree of disturbing) more than 3 ‰, less than 8 ‰;
(2) tower bar cross-arm is crooked:110kV and following circuit are more than 5 ‰, small less than 8 ‰, 220kV circuits more than 3.5 ‰ It is more than 2 ‰ in 8 ‰, 500kV, less than 8 ‰;
(3) tower bar ironware surface Zinc Scaling, rustless stain, iron tower structure are intact, and main material is without deformation, phenomenon of rupture;
(4) main material adjacent node curvature approaches or arrives at 1/750, and each component of tower material is complete, there is a small amount of critical piece pine It is dynamic;
(5) reinforced concrete pole is less than 1%, and protective layer has slight erosion, but nothing comes off, reinforcing steel bars exposed;
(6) anchoring is perfect, non-loosening, presented shares, it is stranded, have slight corrosion phenomena, guyed foundation has slight without landslide Sink, lack native phenomenon.
III grade
(1) tower bar tilts (including degree of disturbing) more than 1%, less than 1.5%;
(2) tower bar cross-arm is crooked is more than 8 ‰, less than 1%;
(3) tower bar ironware surface Zinc Scaling, and there is rust stain, iron tower structure is intact, and main material is without deformation, phenomenon of rupture;
(4) more than 1/750, but less than 0.2%, tower material component has to be lost or has more on a small quantity main material adjacent node curvature Non-principal component loosens, but the stable structure for not influencing whole base steel tower in a short time has a small amount of critical piece to loosen;
(5) reinforced concrete pole is more than 1%, and less than 1.5%, protective layer has corrosion, slightly comes off, but outside no-reinforcing-bar Dew;
(6) anchoring imperfection, have loosening, presented shares, it is stranded phenomena such as, after bracing wire and distaff corrosion diameter reduce it is small In 2mm, guyed foundation has slight sinking or lacks native phenomenon without landslide.
IV grade
(1) tower bar tilts (including degree of disturbing) more than 1.5%;
(2) tower bar cross-arm is crooked is more than 1%;
(3) tower bar ironware surface Zinc Scaling and there is pockmark, iron tower main material has deformation, phenomenon of rupture;
(4) more than 0.2%, tower material component has largely to be lost or has more non-principal component pine main material adjacent node curvature It is dynamic, influence the stable structure of whole base steel tower;
(5) reinforced concrete pole be more than 1.5%, protective layer has heavy corrosion, slightly come off reinforcing steel bars exposed phenomena such as;
(6) anchoring imperfection, have loosening, presented shares, it is stranded phenomena such as, diameter is reduced big after bracing wire and distaff corrosion In 2mm, guyed foundation has landslide or extreme subsidence sinks or scarce native phenomenon.
3) grounded-line unit includes:It is the alternate arc sag deviation of grounded-line degree of impairment, sag of conductor and ground wire deviation, grounded-line, same Arc sag deviation, grounded-line distance to the ground and crossed crossing distance situation, grounded-line connector situation and lead ground between mutually sub- grounded-line Seven quantity of states of line corrosion and tired situation.
I grades
(1) grounded-line degree of impairment:Not damaged;
(2) sag of conductor and ground wire deviation:35~110kV circuits are less than+5%, and -2.5%, 220kV and Above Transmission Lines are less than ± 2.5%, large cross line is less than ± 1%;
(3) the alternate arc sag deviation of grounded-line:35~110kV circuits are less than 200mm, and 220kV and Above Transmission Lines are less than 300mm, large cross line are less than 500mm;
(4) with arc sag deviation between mutually sub- grounded-line:No conductor spacer double bundle conductor is less than 100mm, has other points of conductor spacer Split form conducting wire 220kV and be less than 50mm, no negative error less than 80mm, 500kV;
(5) grounded-line distance to the ground and crossed crossing distance situation:Meet DL/T741-2001 regulations;
(6) grounded-line connector situation:Impulse- free robustness, bulge, crackle, burn, loosening, sliding, flexural deformation or exit It is stranded, temperature and conductor temperature indifference, and without thermo-color excessively;
(7) grounded-line corrosion and tired situation:Surface is corrosion-free, and galvanized strand wires is without Zinc Scaling or corrosion phenomena, by force Degree test value reaches 100%.
II grades
(1) grounded-line degree of impairment:The stranded damage section of steel-cored aluminium strand, steel core aluminum alloy stranded wire is no more than aluminium stock or conjunction The golden stock gross area 7%, the stranded damage interface of steel strand wires, aluminium alloy stranded conductor are no more than the gross area 7%, 19 strands disconnected 1 of zinc plating steel strand wires Stock;
(2) sag of conductor and ground wire deviation:35~110kV circuits are close to or up to+5%, -2.5%, 220kV and Above Transmission Lines ± 2.5% is close to or up to, large cross line is close to or up to ± 1%;
(3) the alternate arc sag deviation of grounded-line:35~110kV circuits are close to or up to 200mm, and 220kV and Above Transmission Lines connect Closely or reach 300mm, large cross line is close to or up to 500mm;
(4) with arc sag deviation between mutually sub- grounded-line:No conductor spacer double bundle conductor is close to or up to 100mm, has conductor spacer Other split form conducting wires 220kV is close to or up to 80mm, 500kV and is close to or up to 50mm, no negative error;
(5) grounded-line distance to the ground and crossed crossing distance situation:With DL/T741-2001 regulation substantially close to;
(6) grounded-line connector situation:Have a slight burr, no bulge, crackle, burn, loosening, sliding, flexural deformation or Exit is stranded, temperature and conductor temperature and even Light Difference, and overheats light discolouration;
(7) grounded-line corrosion and tired situation:There is slight erosion on surface, and galvanized strand wires has slight Zinc Scaling or corrosion Phenomenon, strength test value are more than 100%.
III grade
(1) grounded-line degree of impairment:The stranded damage section of steel-cored aluminium strand, steel core aluminum alloy stranded wire accounts for aluminium stock or alloy stock The gross area 7%~25%, the stranded damage interface of steel strand wires, aluminium alloy stranded conductor account for the gross area 7%~17%, zinc 19 strands of steel strand wires of plating Disconnected 2 strands or 7 strands 1 strand disconnected;
(2) sag of conductor and ground wire deviation:35~110kV circuits are more than+5%, and -2.5%, 220kV and Above Transmission Lines are more than ± 2.5%, large cross line is more than ± 1%, and does not temporarily influence equipment safety operation;
(3) the alternate arc sag deviation of grounded-line:35~110kV circuits are more than 200mm, and 220kV and Above Transmission Lines are more than 300mm, large cross line are more than 500mm, and equipment safety operation wouldn't be influenced by cutting;
(4) with arc sag deviation between mutually sub- grounded-line:No conductor spacer double bundle conductor is more than 100mm, has other points of conductor spacer Split form conducting wire 220kV and be more than 50mm, no negative error more than 80mm, 500kV, and equipment safety operation wouldn't be influenced;
(5) grounded-line distance to the ground and crossed crossing distance situation:Provided beyond DL/T741-2001, and wouldn't influence to set Standby safe operation;
(6) grounded-line connector situation:It is stranded without bulge, crackle, loosening, sliding, exit, jagged and slight burning Wound, flexural deformation are close to or up to code regulation, and temperature is no more than 10 DEG C higher than conductor temperature, there is thermo-color;
(7) grounded-line corrosion and tired situation:Surface corrosion, galvanized strand wires Zinc Scaling or corrosion phenomena, intensity examination Test value and reach 80~85%.
IV grades
(1) grounded-line degree of impairment:The stranded damage section of steel-cored aluminium strand, steel core aluminum alloy stranded wire accounts for aluminium stock or alloy stock For the gross area more than 25%, the stranded damage interface of steel strand wires, aluminium alloy stranded conductor accounts for the gross area more than 17%, and 19 strands of zinc plating steel strand wires are disconnected 3 strands or 7 strands 2 strands disconnected;
(2) sag of conductor and ground wire deviation:35~110kV circuits exceed+5%, and -2.5%, 220kV and Above Transmission Lines exceed ± 2.5%, large cross line exceedes ± 1%, and causes its distance to the ground deficiency or shaft tower stress significant change;
(3) the alternate arc sag deviation of grounded-line:35~110kV circuits surpass more than 200mm, -2.5%, 220kV and Above Transmission Lines Cross 300mm, large cross line more than 500mm, and cause its alternate in the case of windage yaw or distance to the ground cannot meet the requirements or Shaft tower stress significant change;
(4) with arc sag deviation between mutually sub- grounded-line:There is negative error;
(5) grounded-line distance to the ground and crossed crossing distance situation:More than DL/T741-2001 provide, cut influence equipment and Personal safety;
(6) grounded-line connector situation:Burr, bulge, crackle, burn, loosening, sliding, flexural deformation or exit are broken Stock exceedes code and provides, temperature is higher than 10 DEG C of conductor temperature, and overheats serious discoloration;
(7) grounded-line corrosion and tired situation:Surface heavy corrosion, the serious Zinc Scaling of galvanized strand wires or corrosion show As strength test value is less than 80%.
4) insulating subunit evaluation includes insulator contamination situation and two quantity of states of insulator body situation.
I grades
(1) insulate filthy situation:Surface cleaning, without obvious filth, equivalent salt density meets the requirement of each gradation for surface pollution, climbs electricity Than the requirement away from the retting-flax wastewater numerical value met under each gradation for surface pollution;
(2) insulator body situation:Appearance is good, no breakage, crackle, cracking, aging.
II grades
(1) insulate filthy situation:There is slight filth on surface, and equivalent salt density meets the requirement of each gradation for surface pollution, than this last time Test, which has, to increase and has the trend progressively deteriorated, and retting-flax wastewater meets the requirement of the retting-flax wastewater numerical value under each gradation for surface pollution, but Its validity, which has, to be weakened and has the trend progressively deteriorated;
(2) insulator body situation:Appearance is good, there is little damage, flawless, cracking, aging.
III level
(1) insulate filthy situation:There is filth on surface, and continues to aggravate, and equivalent salt density is close to or up to each gradation for surface pollution Requirement, than this last time test have increase and have the trend progressively deteriorated, retting-flax wastewater is close to or up under each gradation for surface pollution The requirement of retting-flax wastewater numerical value, but its validity has weakening and has the trend progressively deteriorated;
(2) insulator body situation:There are micro- breakage, crackle, cracking, aging.
IV grades
(1) insulate filthy situation:Surface pollution severity, equivalent salt density do not meet the requirement of each gradation for surface pollution, retting-flax wastewater The requirement of the retting-flax wastewater numerical value under each gradation for surface pollution is not met;
(2) insulator body situation:Breakage, crackle, cracking, aging are serious.
5) gold utensil unit evaluation includes:Metallic pin situation and two quantity of states of metal connection.
I grades
(1) metallic pin situation:Various metallic pins are complete, intact, and gold utensil is without deformation, corrosion, burn, loosening;
(2) metal connection:Junction is flexible, and intensity reaches 100%.
II grades
(1) metallic pin situation:Various metallic pins are complete, intact, gold utensil without deformation, corrosion, have slight burns, loosen;
(2) metal connection:Junction is flexible, and intensity is more than 85%.
III level
(1) metallic pin situation:Various metallic pins have a defect, and gold utensil is slightly without deforming, have corrosion, burn, loosening;
(2) metal connection:Junction is dumb, and intensity is close to or up to 80~85%.
IV grades
(1) metallic pin situation:Various metallic pin serious defects, gold utensil have deformation, corrosion, burn, loosening;
(2) metal connection:Junction is dumb, and intensity is less than 80%.
6) earthing or grounding means unit evaluation includes each component connection and two quantity of states of equipment situation.
I grades
(1) each component connection:Connection is good, no breakage, and composite sheath surface is existing without aging, starved, impurity, protrusion As;
(2) equipment situation:Device is without damage, zinc coat non-corroding, crackle or burn.
II grades
(1) each component connection:Connection is good, no breakage, and there is a slight aging on composite sheath surface, no starved, impurity, Raised phenomenon;
(2) equipment situation:Device has slight corrosion without damage, zinc coat non-corroding, crackle or burn.
III level
(1) each component connection:Loosening is connected with, there is breakage, there are aging, starved, impurity, protrusion in composite sheath surface Phenomenon, but defect face is no more than 5mm, and depth is not more than 1mm, and height of projection is no more than 0.8mm;
(2) equipment situation:Device has damage, zinc coat corrosion, flawless or burn.
IV grades
(1) each component connection:Connection is serious to be loosened, and damaged, there are aging, starved, impurity, protrusion in composite sheath surface Phenomenon, defect face are more than 1mm more than 5mm, depth, and height of projection is more than 0.8mm;
(2) equipment situation:Device seriously damages, the serious corrosion of zinc coat, has crackle or burn.
7) lightning protection facility evaluation includes each component connection and two quantity of states of equipment situation.
I grades
(1) each component connection:Connection is good, no breakage, and composite sheath surface is existing without aging, starved, impurity, protrusion As;
(2) equipment situation:Device is without damage, zinc coat non-corroding, crackle or burn.
II grades
(1) each component connection:Connection is good, no breakage, and there is a slight aging on composite sheath surface, no starved, impurity, Raised phenomenon;
(2) equipment situation:Device has slight corrosion without damage, zinc coat non-corroding, crackle or burn.
III level
(1) each component connection:Loosening is connected with, there is breakage, there are aging, starved, impurity, protrusion in composite sheath surface Phenomenon, but defect face is no more than 5mm, and depth is not more than 1mm, and height of projection is no more than 0.8mm;
(2) equipment situation:Device has damage, zinc coat corrosion, flawless or burn.
IV grades
(1) each component connection:Connection is serious to be loosened, and damaged, there are aging, starved, impurity, protrusion in composite sheath surface Phenomenon, defect face are more than 1mm more than 5mm, depth, and height of projection is more than 0.8mm;
(2) equipment situation:Device seriously damages, the serious corrosion of zinc coat, has crackle or burn.
8) channel environment unit includes:Condition of road surface and two quantity of states of line walking sidewalk situation.
I grades
(1) condition of road surface:Condition of road surface is good, without wash away, the sinking of road base, mud pit, sideslip phenomenon;
(2) line walking sidewalk situation:Line walking the coast is clear, no weeds and barbed shrub.
II grades
(1) condition of road surface:Condition of road surface is substantially good, it is no landslide, road base sink, sideslip phenomenon, have slightly wash away, mud Hole, miriness;
(2) line walking sidewalk situation:Line walking road is substantially unimpeded, there is a small amount of weeds and barbed shrub.
III level
(1) condition of road surface:Condition of road surface is severe, though without landslide, road base sink, sideslip phenomenon, wash away, mud pit, miriness Situation is serious;
(2) line walking sidewalk situation:Line walking road is not smooth, there is weeds and barbed shrub.
IV grades
(1) condition of road surface:Condition of road surface is severe, have wash away, the sinking of road base, mud pit, sideslip phenomenon, and seriously;
(2) line walking sidewalk situation:Line walking road is not smooth, there is a large amount of weeds and barbed shrub.Above-mentioned is overhead transmission line The criteria for classifying of the degradation for the corresponding quantity of state of 8 component units that road includes, its corresponding basic deduction of points value is 2,4, 8th, 10 points.
According to the division of above-mentioned degradation, scored state variable, will commented according to the degradation of state variable Point result is input to state of a control so as to establish evaluation index parameter regime, and then framework Condition of Overhead Transmission Lines Based is assessed Small-word networks network layers and Bayesian network combine recommendation network, be according to carrying out pretreatment and priori valuation using recommendation network.
Small-word networks network layers described above form for each and every one some small-world networks, and small-world network is transmission line of electricity branch Mathematical model, makes somebody a mere figurehead defeated dotted line and route several transmission line of electricity branches composition, and entirely making somebody a mere figurehead defeated circuit, to be divided into several defeated Point circuit branch road is easy to detection, assessment and the processing of transmission line malfunction of detection transmission line of electricity operating status.Artificially to frame Empty transmission line of electricity is divided, it will causes error, the present invention is using optimized treatment method to entirely making somebody a mere figurehead defeated dotted line k-path partition It is as follows for several transmission line of electricity branches, that is, the foundation of so-called small-word networks network layers, step:
Step 1.1:The unit for forming overhead transmission line is numbered, common n unit, aij=1 represents i units and j Unit has a dependence, no dependence then aijFor 0, by the unit connection relation matrix A in whole transmission line of electricityn×nTable Show, establish the big overhead transmission line connection network of one;
Step 1.2:The connection network established in step 1.1 is divided into several small-world networks using algorithm is optimized, The number of small-world network is artificially definite, is K;
Specifically the step of optimization algorithm is:
Step 1.2.1:By unit connection relation A in whole transmission line of electricityn×nRearrange, Rankine-Hugoniot relations is with matrix D-1B For model;
Step 1.2.2:Calculation procedure 1.2.1 obtains the matrix D of unit connection relation-1The preceding K maximal eigenvector of B v1,v2,...,vk
Step 1.2.3:With file v1,v2,...,vkRepresent, establish new unit connection relation matrix T ∈ Rn×K
Step 1.2.4:The ranks of above-mentioned matrix T are subjected to cluster differentiation using K average clusters method, matrix T is become into K A matrix represents C1,C2,...,Ck
Step 1.2.5:The Matrix C that above-mentioned steps 1.2.4 is obtained1,C2,...,Ck;The obtained small generation that as we need In boundary's network between unit dependence matrix form.
An×nRepresent the matrix method for expressing of the connection relation of whole transmission line of electricity, D-1D in B-1It is An×nTransposition square Battle array, B are and An×nIt is related;
diIt is the connection side number of i-th of node for the degree of i-th of node,Pij=didj/ 2m, m be whole overhead transmission line connection side number summation, S be n × K matrix, wherein Sik=1 is to belong to V in node ik, Otherwise it is 0;VkFor K subnet, Bij=Aij-Pij
Small-word networks network layers are established, are more conducive to the operation conditions of detection transmission line of electricity, while breaking down just In fast detecting failure, can quickly, find out guilty culprit rapidly.
Bayesian network described above, the basic structure schematic diagram of Bayesian network is shown in Fig. 1, figure interior joint represents Stochastic variable, the arc between node reflect the condition dependence between stochastic variable, and all nodes for being directed toward some node are referred to as For the father node of the node, the father node of C is A and B in Fig. 1.The mathematical model of the involved Bayesian network of invention be exactly with Based on this, using unit as node, the node with dependence is connected, and the Bayes principle utilized is shellfish described above This formula of leaf calculates posterior probability formula:
Whole overhead transmission line is divided into several transmission line of electricity branches, transmission line of electricity branch using optimization method first Small-world network model is changed into, each transmission line of electricity branch operating condition is analyzed respectively.To foundation described above Evaluation index parameter regime carries out pretreatment and priori valuation, draws the operating status of unit in each transmission line of electricity branch, single The weight of member, the weight and degree of membership of state variable.
The performance of unit is divided into good, general, attention, bad four a variety of states, division institute foundation:
Z in formulajFor the performance indicator of j-th of unit, aiFor the degradation of i-th of state variable, CijFor aiRelative to Zj Degree of membership, wiFor the weight coefficient of i-th of state variable.
ZjIt is kilter less than 2, more than 2 is general state less than or equal to 4, more than 4 is attention state less than or equal to 8, More than 8 it is bad shape body less than or equal to 10.
The influence degree run depending on state variable to line security, from gently to being divided into some grades again, corresponding numerical value is Weighted value, is referred to as the weight of state variable.
Every 1 state variable reflects corresponding unit behavior pattern, and such case is abstracted referred to as degree of membership, makes somebody a mere figurehead The sum of degree of membership of corresponding state variable is 1 in the unit of transmission line of electricity composition.
The weighted value of state variable and degree of membership determines, is to combine history run inspection, on-line checking, preventative reality Test the related data (operating status of unit and the degradation of state variable) of the overhead transmission line operation obtained with machine account Optimize processing.
The formula that data according to being detected in statistics a period of time calculate state variable weighted value is as follows:
wiFor the weight of i-th of state variable, aijExpression i-th is with j state variable for the disturbance degree of corresponding unit, i Period (such as 1 year) related with the number of the state variable of corresponding unit with the value of j, that it is ith statistics that q, which is, vqikFor I-th of state variable correspondence is in the number of k degradations, b under the data of the q times detectionqimFor in the data of the q times detection The corresponding unit of lower i-th of equipment is in the number of m state-detections, the difference corresponding states variables of k=1 ..., 4 degradation I, IIth, III and IV grade, the good, general of the difference corresponding units of m=1 ..., 4, attention, bad four kinds of states.
It is as follows that data according to being detected in statistics a period of time calculate state variable degree of membership formula:
ciExpression is the degree of membership of the corresponding state variable of certain unit, and the value degree of membership corresponding with confrontation unit of i has Close, degree of membership is normalized and becomes CiSo that meet
Operating condition according to the above-mentioned priori valuation drawn to each overhead transmission line branch, transmission line of electricity branch The probability of operating status include it is good, general, notice that with the sum of defective mode probability, four kinds of probability be 1, according to overhead transmission line The distribution situation of four kinds of probability of road branch determines the operating status of the overhead transmission line, and transmission line of electricity membership is divided into good Good state, general state, attention state and defective mode,
The degradation of the corresponding state variable of unit in leading transmission line of electricity branch is obtained, draws the operation of corresponding unit State, the probability that then calculating different units are in different conditions variable respectively is P (Aij), which kind unit (one what i was represented is Share 8 kinds of units), the unit that j is represented is in any state.According to the Data Computation Unit pair detected in statistics a period of time Correspondence transmission of electricity branch weights influence P (B | Aij), whereinAccording to It can draw the probability scenarios of each operating status of transmission line of electricity branch.
Draw the probability scenarios of the operating status of transmission line of electricity branch, analysis transmission line of electricity branch whether there is hidden failures Problem, reference frame are that the probability of the bad operating status of transmission line of electricity branch is not 0, or the probability of attention state is more than 0.05, Or the probability of kilter be less than 0.75 when, there are hidden failures for the transmission line of electricity branch.
Overall operation conditions determines foundation:Transmission line of electricity branch is in failure-free probability more than or equal to 0.85, defective mode Probability is 0, is referred to as kilter;If in well 0.8~0.85, no defective mode, attention state is less than 0.05, claims Be general;If in good shape state 0.75~0.8, no defective mode, attention state is referred to as 0.05~0.1 Attention state;If being less than 0.75 in good, it is referred to as defective mode.
Overhead transmission line there are failure is analyzed, finds out guilty culprit, in transmission line of electricity branch operating status Determine the probability in the case of, draw the probability of the different operating status of various units:
To causing hidden failures unit to be determined, the probability of attention state and defective mode mainly to various units Numerically determine, the probability of attention state and defective mode first to various units is normalized:
Wherein P (Qj) and P (Dj) it is respectively the attention state of unit and the normalization probability of defective mode.
Obtained unit attention state and the normalization probability of defective mode, is respectively ranked up it respectively, to paying attention to Shape probability of state is more than 0.2 and is overhauled with unit of the probability of defective mode more than 0.1.
Then probability by analyzing each each operating status of transmission line of electricity branch analyzes the operation of whole transmission line of electricity State, according to the assessment of the operating status of transmission line of electricity branch, assesses whole Condition of Overhead Transmission Lines Based.
Above-mentioned specific embodiment is only used for this explanation present invention, and wherein the implementation steps of method can be varied from, Every equivalents carried out on the basis of technical solution of the present invention and improvement, should not exclude in the scope of protection of the invention Outside.

Claims (5)

1. a kind of appraisal procedure based on overhead transmission line operation data, including step once:
Step 1:Build the database of the evaluation index parameter regime of Condition of Overhead Transmission Lines Based;
Step 2:The small-word networks network layers and the knot of Bayesian network combine recommendation network of Condition of Overhead Transmission Lines Based assessment Structure is built;
Step 3:The network structure established according to step 2, to each evaluation index parametric data of Condition of Overhead Transmission Lines Based Carry out pretreatment and priori valuation;
Step 4:Simulation number is carried out according to the network structure and the result of the pretreatment drawn of step 2 and step 3 and priori valuation It it is theorized that;
Step 5:Judged with reference to step 4 the reasoning results;
The structure that combine recommendation network is established in the step 2 is established, and is divided into two parts, the foundation of small-word networks network layers and shellfish The foundation of this network of leaf, single small-world network represent the connection relation of a certain transmission line of electricity tributary unit;
The establishment step of the small-word networks network layers:
1.1):The unit for forming overhead transmission line is numbered, common n unit, aij=1 expression i units and j units have according to The relation of relying, no dependence then aijFor 0, by the unit connection relation matrix A in whole transmission line of electricityn×nRepresent, establish one A big overhead transmission line connection network;
1.2):By unit connection relation A in whole transmission line of electricityn×nRearrange, Rankine-Hugoniot relations is with matrix D-1M is model;
1.3):Calculate the matrix D of the unit connection relation 1.2) obtained-1The preceding K maximal eigenvector v of M1,v2,...,vk
1.4):With file v1,v2,...,vkRepresent, establish new unit connection relation matrix T ∈ Rn×K
1.5):The ranks of above-mentioned matrix T are subjected to cluster differentiation using K average clusters method, matrix T is become into K matrix table Show C1,C2,...,Ck;In the obtained small-world network that the matrix needs for us between unit dependence rectangular Formula, so as to establish small-word networks network layers;
Wherein An×nRepresent the matrix method for expressing of the connection relation of whole transmission line of electricity, transmission line of electricity branch is K, and K is according to ring Border, road conditions factor artificially determine, D-1D in M-1It is An×nTransposed matrix, M is and An×nIt is related;
diFor the degree of i-th of unit, i.e. i is the connection side number of the unit,Pij=didj/ 2m, m are The connection side number summation of whole overhead transmission line, S are the matrix of n × K, wherein SiK=1 is that unit i belongs to VK, it is otherwise 0; VKFor K subnet, Mij=Aij-Pij
The Bayesian network establish be using the unit in overhead transmission line as node, the line between node be from father node to The network model that the directed edge of node is established.
2. according to the method described in claim 1, overhead transmission line is made of some overhead transmission line branches, small-word networks Network layers are made of some small-world networks, each overhead transmission line branch include basis and protective equipment, tower bar, grounded-line, 8 insulator chain, gold utensil, lightning protection facility and earthing or grounding means, line protection area, channel environment units, 8 units correspond to different State variable, it is characterised in that the evaluation index parameter regime of the Condition of Overhead Transmission Lines Based is 8 units pair The different deduction of points carried out of degradation of different state variables are answered, the assessment that numerical value of deducting points is input to control device foundation refers to Mark parameter regime.
3. according to the method described in claim 1, it is characterized in that, the step 2 is to the number of the evaluation index parameter regime According to pretreatment and priori valuation be operation data according to the unit state variable corresponding with unit of history storage, draw shape The degree of membership of the weight of state variable, the weight of unit and state variable, the operating status of unit;
The weight of state variable:
<mrow> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mi>j</mi> <mi>n</mi> </munderover> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>/</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow>
<mrow> <msub> <mi>a</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>q</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>q</mi> </munderover> <mrow> <mo>(</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>m</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mo>(</mo> <mrow> <munderover> <mo>&amp;Pi;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>k</mi> </munderover> <mfrac> <msub> <mi>v</mi> <mrow> <mi>q</mi> <mi>i</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>b</mi> <mrow> <mi>q</mi> <mi>i</mi> <mi>m</mi> </mrow> </msub> </mfrac> </mrow> <mo>)</mo> <mo>*</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>m</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mo>(</mo> <mrow> <munderover> <mo>&amp;Pi;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>k</mi> </munderover> <mfrac> <msub> <mi>v</mi> <mrow> <mi>q</mi> <mi>j</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>b</mi> <mrow> <mi>q</mi> <mi>j</mi> <mi>m</mi> </mrow> </msub> </mfrac> </mrow> <mo>)</mo> <mo>)</mo> </mrow> <mo>/</mo> <mi>q</mi> </mrow>
wiFor the weight of i-th of quantity of state, aijRepresent the i-th disturbance degree with j quantity of state for corresponding unit, the value of i and The number of the quantity of state of corresponding unit is related, and j values correspond to 8 kinds of units, the period that it is ith statistics that q, which is, respectively for 1 to 8 (such as 1 year), vqikFor the q times detection data under i-th of quantity of state correspondence in the number of k degradations, bqimFor in q The corresponding unit of i-th of equipment is in the number of m state-detections under the data of secondary detection, and the value of k is 1,2,3,4, with state The degradation of variable, the value of m is respectively 1,2,3,4 states point with unit;
Quantity of state degree of membership formula is as follows:
<mrow> <msub> <mi>c</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>q</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>q</mi> </munderover> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>m</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <mfrac> <msub> <mi>v</mi> <mrow> <mi>q</mi> <mi>i</mi> <mi>k</mi> </mrow> </msub> <msub> <mi>b</mi> <mrow> <mi>q</mi> <mi>i</mi> <mi>m</mi> </mrow> </msub> </mfrac> </mrow>
ciExpression is the degree of membership of the corresponding quantity of state of certain unit, and degree of membership is normalized and becomes CiSo that meet
The operating status of unit:
<mrow> <msub> <mi>Z</mi> <mi>j</mi> </msub> <mo>=</mo> <mfrac> <mrow> <munder> <mo>&amp;Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>&amp;times;</mo> <msub> <mi>C</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>&amp;times;</mo> <msub> <mi>a</mi> <mi>i</mi> </msub> </mrow> <mrow> <munder> <mo>&amp;Sigma;</mo> <mi>i</mi> </munder> <msub> <mi>w</mi> <mi>i</mi> </msub> <mo>&amp;times;</mo> <msub> <mi>C</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow> </mfrac> </mrow>
Z in formulajFor the performance indicator of j-th of unit, aiFor the degradation of i-th of quantity of state, CijFor aiRelative to ZjBe subordinate to Degree, wiFor the weight coefficient of i-th of quantity of state.
4. according to the method described in claim 1, it is characterized in that, the digital simulation reasoning carried out in step 4, utilizes Bayes Principle draws the probability of the different operating statuses of transmission line of electricity branch, and the different operating statuses in transmission line of electricity branch In the case of determine the probability, the probability of various unit difference operating statuses.
5. the method according to claim 3 or 4, it is characterised in that state variable is according to degradation from gently to being divided into again Level Four, is respectively I, II, III and IV grade, its corresponding basic deduction of points value is 2,4,8,10 points;Unit operating status be divided into it is good, Generally, pay attention to, bad four a variety of operating statuses, ZjIt is kilter less than 2, more than 2 is general state less than or equal to 4, is less than More than 4 it is attention state equal to 8, more than 8 is bad shape body less than or equal to 10;The operating status probability of transmission line of electricity branch is by good Good luck row, general operation, pay attention to operation and bad operation probability composition, and the sum of four kinds of probability are 1.
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