CN103616101A - Method for detecting optical fiber composite ground wire icing state of electric transmission line - Google Patents
Method for detecting optical fiber composite ground wire icing state of electric transmission line Download PDFInfo
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- CN103616101A CN103616101A CN201310600910.9A CN201310600910A CN103616101A CN 103616101 A CN103616101 A CN 103616101A CN 201310600910 A CN201310600910 A CN 201310600910A CN 103616101 A CN103616101 A CN 103616101A
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title claims abstract description 14
- 239000013307 optical fiber Substances 0.000 title abstract description 15
- 239000002131 composite material Substances 0.000 title abstract description 8
- 238000004458 analytical method Methods 0.000 claims abstract description 13
- 238000005259 measurement Methods 0.000 claims description 35
- 230000003287 optical effect Effects 0.000 claims description 29
- 239000011248 coating agent Substances 0.000 claims description 23
- 238000000576 coating method Methods 0.000 claims description 23
- 238000012544 monitoring process Methods 0.000 claims description 12
- 238000012417 linear regression Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 claims description 7
- 230000001419 dependent effect Effects 0.000 claims description 5
- 238000013178 mathematical model Methods 0.000 claims description 4
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- 238000006467 substitution reaction Methods 0.000 claims description 2
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- 230000007613 environmental effect Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
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Abstract
The invention discloses a method for detecting the optical fiber composite ground wire icing state of an electric transmission line. The method solves the problem that an existing detecting method is complex and poor in feasibility. Physical parameters such as stress, vibration and temperature can be measured by a distributed optical fiber sensing system along a sensed optical fiber, the advanced technology method is provided for reliability evaluation on a large complex system, the dynamic tension distributed state of an optical fiber composite ground wire of the high-voltage transmission line within 50 kilometers can be detected, and the resolution ratio achieves 1 meter in length. Tension changes of the optical fiber composite ground wire can be caused by icing, ice dancing of the optical fiber composite ground wire can be caused under the effect of meteorological conditions, the optical fiber composite ground wire can have the dynamic tension alternating changes, and detecting on the optical fiber composite ground wire icing state of the electric transmission line is achieved through statistic analysis on the dynamic tension.
Description
Technical field
The present invention relates to transmission line of electricity optical power grounded waveguide icing monitoring field, refer to especially a kind of ultra-high-tension power transmission line optical power grounded waveguide icing monitoring method.
Background technology
Electric system is a complicated large system, comprehensive reliability assessment is gordian technique, also be the important component part of reliability engineering, reliability assessment is reliability structure, life model and the Test Information according to equipment, utilize statistical method and means, the performance index of evaluation system reliability are provided to the process of estimation.To the reliability assessment of complex large system, it is a difficult problem always, main cause is the reason due to aspects such as technology, expense and test organizations, transmission line status detects existing technical conditions can not carry out a large amount of system-level reliability detection and test, and can only range site Test Information, it is very complex that the various information of range site are carried out accurate assessment to system reliability, or even infeasible.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of dynamic tension temporal evolution value of choosing under optical power grounded waveguide icing condition as the correlation factor of ice coating state, by multiple linear regression analysis, predict the monitoring method of optical power grounded waveguide ice coating state, solve in existing analytical approach and choose meteorology, wire tension, the parameters such as wire angle of wind deflection, the data normalizing that statistical study wire icing state exists, stability and poor accuracy cause monitoring the not high problem of ice coating state accuracy, by choosing the changing value of 60 seconds dynamic tensions of each measurement point of the compound bottom line of optical fiber as the relative influence factor of ice coating state, can reduce the error that measuring accuracy causes, improve the stability of mathematical model, reduce stochastic error.
The technical solution used in the present invention is:
By choosing the changing value of 60 seconds dynamic tensions of an optical power grounded waveguide m measurement point as the relative influence factor of ice coating state, carry out regretional analysis, shift ice coating state regression analysis model onto, realize the monitoring to optical power grounded waveguide ice coating state, comprise the following steps (as shown in Figure 1):
Step 1: use distributed fiberoptic sensor to gather the dynamic tension branch data of m measurement point on optical power grounded waveguide, pipeline sensor measurement resolution is 1 meter, measurement point can reach 10,000, and the longer resolution of measuring distance is lower, Measuring Time be 30 seconds/each.
Step 2: according to the technical characteristic of distributed fiberoptic sensor, the result of this measurement and last measurement result pointwise are subtracted each other, obtain the dynamic tension delta data of m measurement point, twice measuring intervals of TIME is defined as to 60 seconds, obtain m the measurement point interval dynamic tension delta data of 60 seconds.
Step 3: the optical power grounded waveguide of take between every two shaft towers is arithmetic element, with transmission line of electricity, according to shaft tower quantity, determine arithmetic element along the line, do not have the unit of icing to get rid of observation over the years, include the unit that occurs icing in analyst coverage, unit is carried out to independent analysis, ice coating state and measurement data are carried out to cluster analysis, select the good measurement point data of correlativity, carry out regretional analysis computing.
Step 4: as shown in Figure 2, select a unit to set up the multiple linear regression analysis model of ice coating state, adopt multiple linear regression analysis method, using ice coating state Y as dependent variable, using the △ Hm of m measurement point as dependent variable, the observed reading of ice coating state
60 seconds changing values of dynamic tension of m the point monitoring with correspondence
, computing obtains regression coefficient
and mean square deviation
, the ice coating state regression mathematical model of this unit:
" m measurement point " described in above-mentioned steps refers to, according to distributed fiberoptic sensor Measurement Resolution, measurement point quantity in a measuring unit, the higher measurement point in a measuring unit of resolution is more, for example, span between two shaft towers is 500 meters, and Measurement Resolution is 1 meter, and m value is 500.
" △ Hm " described in above-mentioned steps refers to, 60 seconds dynamic tension changing values are designated as to △ H, and 60 seconds dynamic tension changing values of the nearest measurement point of light signal approaching side shaft tower are designated as to △ H
1, be △ H by that analogy
2, △ H
3..., △ Hm, m=1,2,3 ...
Distributed optical fiber sensing system can be measured along sensor fibre the physical parameters such as stress, vibration and temperature, for complex large system reliability evaluation provides advanced technological means, pass through distributed optical fiber sensing system, the distribution that can monitor dynamic tension in ultra-high-tension power transmission line optical power grounded waveguide 50 kilometer range, resolution reaches 1 meter.Icing can draw the tension variation of optical power grounded waveguide, under meteorological condition effect, can there is optical power grounded waveguide icing and wave, optical power grounded waveguide can present dynamic tension alternation to be changed, by the statistical study to dynamic tension, realize the monitoring to transmission line of electricity optical power grounded waveguide ice coating state.
Accompanying drawing explanation
Fig. 1 is method step process flow diagram of the present invention;
Fig. 2 is Mathematical Analysis Data schematic diagram of the present invention.
Embodiment
As shown in Figure 2, select a unit to set up the multiple linear regression analysis model of ice coating state: the series using ice coating state as dependent variable, using the changing value of 60 seconds dynamic tensions of each measurement point of the compound bottom line of optical fiber as independent variable sequence, set up multiple linear regression model, and obtain the regression coefficient of this model.
1) multiple linear regression model:
In formula, m>=2,
,
,
m+1 regression coefficient,
for the stochastic error of model, by n observed reading of Y and m measurement point dynamic tension changing value of monitoring for model
represent, model is:
If with Y, X,
,
for matrix:
Above model simplification is
,
2) calculate regression coefficient:
Suppose to obtain regression coefficient
an estimation, be designated as
, the estimated value of explained variable and stochastic error is respectively:
Residual sum of squares (RSS) can be expressed as:
By OLS, estimated to obtain:
Parameter
a nothing be partially estimated as:
3) set up regression mathematical model:
According to the ice covering thickness data of reality test and dynamic tension (△ Hm) data of m measurement point, try to achieve the stochastic error of regression coefficient and model, obtain regression analysis model equation:
In above formula, Y value is optical power grounded waveguide ice covering thickness, △ H1, and △ H2 ..., △ Hm, is the dynamic tension delta data of an optical power grounded waveguide m measurement point,
for stochastic error, by optical power grounded waveguide m measurement point dynamic tension changing value substitution above formula, just can obtain the situation of optical power grounded waveguide icing growth.
Wire icing is subject to the long impact of transmission line of electricity, and the environmental impact of each section of circuit is not quite similar, existing icing monitoring method, and the relative influence factor more complicated of selection, data stability is poor, so the error of prediction line ice coating is larger.
As shown in Figure 2, optical power grounded waveguide icing is waved to show as around optical power grounded waveguide static equilibrium state and is changed alternately, the dynamic tension of each section of optical power grounded waveguide presents across section and is greater than quiet tension force, span centre is less than the mutual distribution of quiet tension force, distributed optical fiber sensing system can measuring optical fiber composite ground wire dynamic tension distribution along the line, and the present invention adopts the dynamic tension delta data of an optical power grounded waveguide m measurement point as the relative influence factor, and data normalizing is good, stability is high, and stochastic error is little.
Claims (1)
1. a transmission line of electricity optical power grounded waveguide ice coating state monitoring method, comprises the following steps:
The first step, use distributed fiberoptic sensor to gather the dynamic tension branch data of m measurement point on optical power grounded waveguide, pipeline sensor measurement resolution is 1 meter, Measuring Time be 30 seconds/at every turn;
Second step, according to the technical characteristic of distributed fiberoptic sensor, the result of this measurement and last measurement result pointwise are subtracted each other, obtain the dynamic tension delta data of m measurement point, twice measuring intervals of TIME is defined as to 60 seconds, obtain m the measurement point interval dynamic tension delta data of 60 seconds;
The 3rd step, the optical power grounded waveguide of take between every two shaft towers are arithmetic element, with transmission line of electricity, according to shaft tower quantity, determine arithmetic element along the line, do not have the unit of icing to get rid of observation over the years, include the unit that occurs icing in analyst coverage, unit is carried out to independent analysis, ice coating state and measurement data are carried out to cluster analysis, select the good measurement point data of correlativity, carry out regretional analysis computing;
The 4th step, select a unit to set up the multiple linear regression analysis model of ice coating state, adopt multiple linear regression analysis method, using ice coating state Y as dependent variable, using the △ Hm of m measurement point as dependent variable, the observed reading of ice coating state
60 seconds changing values of dynamic tension of m the point monitoring with correspondence
, computing obtains regression coefficient
and mean square deviation
, the ice coating state regression mathematical model of this unit:
In above formula, Y value is optical power grounded waveguide ice covering thickness, △ H1, and △ H2 ..., △ Hm, is the dynamic tension delta data of an optical power grounded waveguide m measurement point,
for stochastic error, by optical power grounded waveguide m measurement point dynamic tension changing value substitution above formula, just can obtain the situation of optical power grounded waveguide icing growth.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104535233A (en) * | 2014-12-08 | 2015-04-22 | 云南电网公司电力科学研究院 | Stress monitoring system of icing electric transmission line |
| CN107452177A (en) * | 2017-04-14 | 2017-12-08 | 浙江省邮电工程建设有限公司 | A kind of communications optical cable safety pre-warning system |
| CN107451621A (en) * | 2017-08-17 | 2017-12-08 | 国网湖南省电力公司 | Power network waves key influence factor clustering method and system |
| CN109583025A (en) * | 2018-10-30 | 2019-04-05 | 国网江西省电力有限公司电力科学研究院 | A kind of icing corrosion ground wire Analysis of Bearing Capacity method and system |
| CN112345128A (en) * | 2020-09-22 | 2021-02-09 | 国家电网有限公司 | Mechanical force monitoring and analyzing method for ground wire of overhead transmission line |
| CN113252115A (en) * | 2021-06-24 | 2021-08-13 | 广东电网有限责任公司 | Online monitoring system and method for power transmission line |
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| CN101556195A (en) * | 2009-03-26 | 2009-10-14 | 杭州海康雷鸟信息技术有限公司 | Real-time monitoring method of ice coated on overhead transmission line conductor and system |
| CN101614602A (en) * | 2009-08-03 | 2009-12-30 | 电子科技大学 | Electricity transmission line monitoring method and device |
| CN102095449A (en) * | 2010-10-28 | 2011-06-15 | 华南理工大学 | Method for alarming dancing of overhead transmission circuit |
| CN102789447A (en) * | 2012-07-09 | 2012-11-21 | 贵州电网公司输电运行检修分公司 | Method for analyzing ice and climate relationship on basis of grey MLR (Multiple Linear Regression) |
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2013
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104535233A (en) * | 2014-12-08 | 2015-04-22 | 云南电网公司电力科学研究院 | Stress monitoring system of icing electric transmission line |
| CN107452177A (en) * | 2017-04-14 | 2017-12-08 | 浙江省邮电工程建设有限公司 | A kind of communications optical cable safety pre-warning system |
| CN107452177B (en) * | 2017-04-14 | 2023-05-23 | 浙江省邮电工程建设有限公司 | Communication optical cable safety precaution system |
| CN107451621A (en) * | 2017-08-17 | 2017-12-08 | 国网湖南省电力公司 | Power network waves key influence factor clustering method and system |
| CN109583025A (en) * | 2018-10-30 | 2019-04-05 | 国网江西省电力有限公司电力科学研究院 | A kind of icing corrosion ground wire Analysis of Bearing Capacity method and system |
| CN109583025B (en) * | 2018-10-30 | 2023-06-16 | 国网江西省电力有限公司电力科学研究院 | Icing corrosion ground wire bearing capacity analysis method and system |
| CN112345128A (en) * | 2020-09-22 | 2021-02-09 | 国家电网有限公司 | Mechanical force monitoring and analyzing method for ground wire of overhead transmission line |
| CN113252115A (en) * | 2021-06-24 | 2021-08-13 | 广东电网有限责任公司 | Online monitoring system and method for power transmission line |
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Application publication date: 20140305 |