CN106055889A - State evaluation method of overhead transmission line - Google Patents
State evaluation method of overhead transmission line Download PDFInfo
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- CN106055889A CN106055889A CN201610363551.3A CN201610363551A CN106055889A CN 106055889 A CN106055889 A CN 106055889A CN 201610363551 A CN201610363551 A CN 201610363551A CN 106055889 A CN106055889 A CN 106055889A
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Abstract
Provided is a state evaluation method of an overhead transmission line. The method adopts a multi-layer fuzzy synthetic evaluation model. A two-stage fuzzy synthetic evaluation rating model is adopted for the overhead transmission line. The concrete evaluation process comprises following steps: firstly, evaluating the stage of a line unit, deducing marks for defects based on weight of defects and severity and obtaining the state of the line unit by the maximum value of all defection subtraction scores and summing value summing value; then, evaluating the stage of poles and towers with states affected by four factors including the line unit, operation years, environmental regions and weather, and finally obtaining the overall state of the line by synthesizing all states of poles and towers. The subtraction of the line unit is obtained by weight of the unit and the state. The subtraction of the operation years is obtained by operation years. The subtractions of environmental regions are obtained by weight and risk degrees. According to the total subtractions and maximum subtraction scores for four factors, states of poles and towers can be obtained.
Description
Technical field
The present invention relates to a kind of overhead transmission line method for evaluating state, belong to transmission line status assessment technique neck
Territory.
Background technology
" the overhead transmission line state evaluation directive/guide " that State Grid Corporation of China issues, the evaluation methodology that this directive/guide proposes is excessively
Simply, and do not account for the channel environment residing for circuit, current solar term factor, vile weather factor and equipment run the time limit to defeated
The impact of electric line, it is impossible to the state of circuit is given comprehensive, reasonably evaluate.
Summary of the invention
It is an object of the invention to the deficiency overcoming prior art to exist, and provide the one can combined influence line security
The many factors run, provides line status evaluation result comprehensive, rational, thus for formulating the tour strategy of circuit,
The foundation of line data-logging work offer science is provided, reduces unnecessary work of patrolling and examining, and improve line security and stability
Overhead transmission line method for evaluating state.
It is an object of the invention to complete by following technical solution, a kind of overhead transmission line method for evaluating state,
The method uses multi-layer Fuzzy comprehensive evaluation model, and overhead transmission line uses the Assessment for classification model of two-stage fuzzy synthesis,
Concrete model construction step is as follows:
(1) set P as set of factors, n factor in set of factors P is grouped according to certain criterion；Similar properties factor is divided
It is one group, if being divided into m group altogether, then:
In formula, as i ≠ j,PiContaining niIndividual factor, is designated as Pi={ Pi1,Pi2,...,Pin, wherein
In above formula, P is one-level evaluation factor set, PiIt is two grades of evaluation factor set, by that analogy, it is also possible to by PiCarry out
Segmentation, obtains more than three grades evaluation factor set；
(2) V={V is set1,V2,...,ViIt is Comment gathers, to each PiObscure with multilayer fuzzy synthetic evaluation model
Comprehensive Evaluation, obtains PiFactor of influence B for Comment gathers Vi, wherein obfuscation rule base by transmission system aspect expert according to
The design of actual track ruuning situation is given after analyzing；
(3) for factor of influence collection B={B1,B2,...,Bi, ask for factor of influence and R=sum (B) and maximum effect
Factor S=max (B), again uses fuzzy synthetic evaluation model to R and S, finally gives evaluation result Vi。
As preferably: evaluate hierarchical mode, repeatedly invocation step (2) and step (3) for three grades of Above Transmission Lines,
To power transmission line comprehensive evaluation result.
As preferably: it is that transmission line of electricity is carried out step analysis that described circuit evaluates hierarchical mode, is divided into by transmission line of electricity
Destination layer, rule layer, sub-rule layer；Wherein destination layer is transmission line of electricity itself, and rule layer is transmission line of electricity bar position, sub-criterion
Layer is transmission line foundation, shaft tower, lead wire and earth wire, gold utensil, insulator chain, grounding device, affiliated facility, channel environment, meteorological ring
Border and equipment run the time limit；
Described transmission line of electricity Fuzzy Inference Model realizes lower floor in transmission line of electricity evaluation hierarchical mode and obscures for upper strata
Change and pass judgment on, use two-layer Fuzzy Inference Model, carry out single fuzzy comprehensive evoluation firstly for each quantity of state, obtain relatively
In the factor of influence on upper strata, by factor of influence and and maximum effect factor carry out a fuzzy comprehensive evoluation again, finally
Evaluation result to upper strata.
Concrete evaluation procedure of the present invention is as follows:
First, this level of line unit is evaluated, provides the deduction of points of defect according to the weight of defect and the order of severity,
The maximum deducted points by all defect of line unit and aggregate value obtain the state of line unit；
Then, being evaluated this level of shaft tower, the state of shaft tower is affected by 4 kinds of factors, line unit, operation year
Limit, environmental area and weather, the deduction of points of line unit obtains according to weight and the state of unit, runs time limit deduction of points and is obtained by the time limit
Arriving, environmental area deduction of points is obtained by weight and degree of risk, and weather deduction of points is obtained by weather, according to the total button of these 4 kinds of factors
Divide and maximum deduction of points obtains the state of shaft tower；
Finally, according to the state of comprehensive all shaft towers, the integrality of circuit is obtained.
The many factors affecting circuit operation can be taken into account by the present invention, circuit carries out overall merit, evaluates knot
Fruit meet reality situation, achieve preferable effect, for formulate make an inspection tour strategy, implement patrol plan provide science, can
The theoretical foundation leaned on.
Accompanying drawing explanation
Fig. 1 is that transmission line of electricity of the present invention evaluates hierarchical mode figure.
Fig. 2 is two-layer Fuzzy Inference Model figure of the present invention.
Fig. 3 is circuit evaluation procedure figure of the present invention.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention will be described in detail: the present invention is primarily to solve the most defeated
The problem that electric line method for evaluating state exists, as the most general in appraisal of equipment rule, evaluation content not comprehensively, assessment guidelines limitation
Property obvious, circuit evaluation does not accounts for the feature of circuit, operation hours, running environment, season, climatic environment etc..
The present invention generally requires for overhead transmission line and considers a lot of factors, and also has different between each factor
Classification and level, therefore can use multi-layer Fuzzy comprehensive evaluation model, and overhead transmission line is used 2 grades to obscure and combines by the present invention
Closing evaluation model, concrete construction step is as follows:
(1) P is set as set of factors.N factor in set of factors P is grouped according to certain criterion；Similar properties factor is divided
It is one group, if being divided into m group altogether then,
In formula, as i ≠ j,PiContaining niIndividual factor.It is designated as Pi={ Pi1,Pi2,...,PinWhereinIn above formula, P is one-level evaluation factor set, PiIt is two grades of evaluation factor set.By that analogy, it is also possible to by Pi
It is finely divided.Obtain more than three grades evaluation factor set.
(2) V={V is set1,V2,...,ViIt it is Comment gathers.To each PiObscure with multilayer fuzzy synthetic evaluation model
Comprehensive Evaluation.Obtain PiFactor of influence B for Comment gathers Vi, wherein obfuscation rule base by transmission system aspect expert according to
The design of actual track ruuning situation is given after analyzing.
(3) for factor of influence collection B={B1,B2,...,Bi, ask for factor of influence and R=sum (B) and maximum effect
Factor S=max (B), again uses fuzzy synthetic evaluation model to R and S, finally gives evaluation result Vi。
(4) evaluating hierarchical mode for three grades of Above Transmission Lines, invocation step (2) and step (3), i.e. can be transmitted electricity repeatedly
Circuit comprehensive evaluation result.
Wherein, transmission line of electricity evaluates hierarchical mode as shown in Figure 1.
It is that transmission line of electricity is carried out step analysis that transmission line of electricity evaluates hierarchical mode, and transmission line of electricity is divided into destination layer, standard
Then layer, sub-rule layer.Destination layer is transmission line of electricity itself, and rule layer is transmission line of electricity bar position, and sub-rule layer is transmission line of electricity
Basis, shaft tower, lead wire and earth wire, gold utensil, insulator chain, grounding device, affiliated facility, channel environment, weather environment and equipment run
The time limit.
Transmission line of electricity Fuzzy Inference Model realizes transmission line of electricity and evaluates lower floor in hierarchical mode and comment for the obfuscation on upper strata
Sentence, use two-layer Fuzzy Inference Model, carry out single fuzzy comprehensive evoluation firstly for each quantity of state, obtain relative to upper
Layer factor of influence, by factor of influence and and maximum effect factor carry out a fuzzy comprehensive evoluation again, finally obtain
The evaluation result of layer, transmission line of electricity Fuzzy Inference Model is as shown in Figure 2.
Concrete evaluation procedure is as it is shown on figure 3, process is as follows:
First, this level of line unit is evaluated, provides the deduction of points of defect according to the weight of defect and the order of severity,
The maximum deducted points by all defect of line unit and aggregate value obtain the state of line unit；
Then, being evaluated this level of shaft tower, the state of shaft tower is affected by 4 kinds of factors, line unit, operation year
Limit, environmental area and weather, the deduction of points of line unit obtains according to weight and the state of unit, runs time limit deduction of points and is obtained by the time limit
Arriving, environmental area deduction of points is obtained by weight and degree of risk, and weather deduction of points is obtained by weather, according to the total button of these 4 kinds of factors
Divide and maximum deduction of points obtains the state of shaft tower；
Finally, according to the state of comprehensive all shaft towers, the integrality of circuit is obtained.
The present invention can provide the evaluation of line status according to equipment deficiency, channel environment, vile weather and the operation time limit
As a result, for formulating the tour strategy of circuit, patrol and examine circuit and theoretical foundation is provided；Real work is applied, and achieves
Preferably actual effect.
Claims (4)
1. an overhead transmission line method for evaluating state, it is characterised in that the method uses multi-layer Fuzzy comprehensive evaluation model,
Overhead transmission line uses the Assessment for classification model of two-stage fuzzy synthesis, and concrete model construction step is as follows:
(1) set P as set of factors, n factor in set of factors P is grouped according to certain criterion；Similar properties factor is divided into one
Group, if being divided into m group altogether, then:
In formula, as i ≠ j,PiContaining niIndividual factor, is designated as Pi={ Pi1,Pi2,...,Pin,
Wherein
In above formula, P is one-level evaluation factor set, PiIt is two grades of evaluation factor set, by that analogy, it is also possible to by PiCarry out thin
Point, obtain more than three grades evaluation factor set；
(2) V={V is set1,V2,...,ViIt is Comment gathers, to each PiCarry out fuzzy synthesis with multilayer fuzzy synthetic evaluation model to comment
Sentence, obtain PiFactor of influence B for Comment gathers Vi, wherein obfuscation rule base by transmission system aspect expert according to actual line
Road ruuning situation design is given after analyzing；
(3) for factor of influence collection B={B1,B2,...,Bi, ask for factor of influence and R=sum (B) and maximum effect factor
S=max (B), again uses fuzzy synthetic evaluation model to R and S, finally gives evaluation result Vi。
Overhead transmission line method for evaluating state the most according to claim 1, it is characterised in that: for three grades of Above Transmission Lines
Evaluating hierarchical mode, invocation step (2) and step (3), i.e. can get power transmission line comprehensive evaluation result repeatedly.
Overhead transmission line method for evaluating state the most according to claim 1 and 2, it is characterised in that: described circuit evaluation
Hierarchical mode is that transmission line of electricity is carried out step analysis, and transmission line of electricity is divided into destination layer, rule layer, sub-rule layer；Wherein mesh
Mark layer be transmission line of electricity itself, rule layer is transmission line of electricity bar position, sub-rule layer be transmission line foundation, shaft tower, lead wire and earth wire,
Gold utensil, insulator chain, grounding device, affiliated facility, channel environment, weather environment and equipment run the time limit；
Described transmission line of electricity Fuzzy Inference Model realizes transmission line of electricity and evaluates lower floor in hierarchical mode and comment for the obfuscation on upper strata
Sentence, use two-layer Fuzzy Inference Model, carry out single fuzzy comprehensive evoluation firstly for each quantity of state, obtain relative to upper
Layer factor of influence, by factor of influence and and maximum effect factor carry out a fuzzy comprehensive evoluation again, finally obtain
The evaluation result of layer.
Overhead transmission line method for evaluating state the most according to claim 3, it is characterised in that described specifically evaluated
Journey is as follows:
First, this level of line unit is evaluated, provides the deduction of points of defect according to the weight of defect and the order of severity, by line
The maximum of all defect deduction of points of road unit and aggregate value obtain the state of line unit；
Then, being evaluated this level of shaft tower, the state of shaft tower is affected by 4 kinds of factors, line unit, the operation time limit, ring
Region, border and weather, the deduction of points of line unit obtains according to weight and the state of unit, runs time limit deduction of points and is obtained by the time limit, ring
The deduction of points of region, border is obtained by weight and degree of risk, and weather deduction of points is obtained by weather, deducts points according to the total of these 4 kinds of factors and
Big deduction of points obtains the state of shaft tower；
Finally, according to the state of comprehensive all shaft towers, the integrality of circuit is obtained.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106952049A (en) * | 2017-03-27 | 2017-07-14 | 国网山东省电力公司夏津县供电公司 | The state evaluating method and device of transmission line of electricity |
| CN107392506A (en) * | 2017-08-25 | 2017-11-24 | 湖北国网华中科技开发有限责任公司 | A kind of self-study line status evaluation system and evaluation method for merging development of Mobile Internet technology |
| CN107506850A (en) * | 2017-07-25 | 2017-12-22 | 中国电力科学研究院 | A kind of method and system for determining polling transmission line mode |
| CN107894324A (en) * | 2017-12-19 | 2018-04-10 | 中国电力科学研究院有限公司 | A kind of OPGW running statuses appraisal procedure and system based on health index |
| CN112116276A (en) * | 2020-09-29 | 2020-12-22 | 广东电网有限责任公司广州供电局 | Transformer substation operation risk assessment method considering time-varying state of electrical main equipment |
-
2016
- 2016-05-26 CN CN201610363551.3A patent/CN106055889A/en active Pending
Non-Patent Citations (7)
| Title |
|---|
| 何乐彰等: ""采用模糊综合评判法的输电线路状态评估"", 《电力与能源》 * |
| 彭勇行: "《管理决策分析》", 31 October 2000, 科学出版社 * |
| 杨军: ""模糊综合评判方法在输电线路评级中的应用"", 《科技广场》 * |
| 牛彪: ""架空输电线路运行状态的模糊综合评判研究"", 《太原理工大学硕士论文》 * |
| 纪航等: ""基于模糊综合评价的超高压输电线路状态评估方法思考"", 《华东电力》 * |
| 苏为华: ""多指标综合评价理论与方法问题研究"", 《中国博士学位论文全文数据库 基础科学辑》 * |
| 韩富春等: ""架空输电线路运行状态的多级模糊综合评判模型"", 《京津冀晋蒙鲁电机工程（电力）学会第十六届学术交流会论文集》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106952049A (en) * | 2017-03-27 | 2017-07-14 | 国网山东省电力公司夏津县供电公司 | The state evaluating method and device of transmission line of electricity |
| CN107506850A (en) * | 2017-07-25 | 2017-12-22 | 中国电力科学研究院 | A kind of method and system for determining polling transmission line mode |
| CN107392506A (en) * | 2017-08-25 | 2017-11-24 | 湖北国网华中科技开发有限责任公司 | A kind of self-study line status evaluation system and evaluation method for merging development of Mobile Internet technology |
| CN107894324A (en) * | 2017-12-19 | 2018-04-10 | 中国电力科学研究院有限公司 | A kind of OPGW running statuses appraisal procedure and system based on health index |
| CN112116276A (en) * | 2020-09-29 | 2020-12-22 | 广东电网有限责任公司广州供电局 | Transformer substation operation risk assessment method considering time-varying state of electrical main equipment |
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Application publication date: 20161026 |
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