CN106841931A - A kind of recognition methods of transmission line lightning stroke failure - Google Patents
A kind of recognition methods of transmission line lightning stroke failure Download PDFInfo
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- CN106841931A CN106841931A CN201710239940.XA CN201710239940A CN106841931A CN 106841931 A CN106841931 A CN 106841931A CN 201710239940 A CN201710239940 A CN 201710239940A CN 106841931 A CN106841931 A CN 106841931A
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- current waveform
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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Abstract
The application provides a kind of recognition methods of transmission line lightning stroke failure, obtains fault current waveform；The fault current waveform is normalized, the normalized value of fault current waveform is obtained；Normalized value and the normalized value of lightning fault current waveform according to the fault current waveform, obtain waveform similar value；According to the waveform similar value, the fault type of transmission line of electricity is determined.Compared to existing lightning fault recognition methods, Maintenance free personnel confirm the method to failure point of power transmission line, improves operating efficiency, and recognition accuracy is high.
Description
Technical field
The application is related to Power System Faults Detection field, more particularly to a kind of identification side of transmission line lightning stroke failure
Method.
Background technology
Today of extra-high voltage development is pressed to by superelevation in transmission line of electricity grade, thunderbolt is still to cause transmission line malfunction
One of major reason.Transmission line of electricity ruuning situation statistics show, transmission line malfunction is mostly relevant with season, thunderstorm occur when
Wait, be also the moment occurred frequently of other accidents, such as dodge dirty, vegetation and wave the non-lightning fault for causing, therefore, it is necessary to distinguish event
Hinder the type of the origin cause of formation.
At present, there is no it is accurate confirm Operation of Electric Systems, transmission line malfunction whether the detection means caused by thunderbolt,
Rely primarily on operation maintenance personnel's line walking and search trouble point, according to the vestige failure judgement origin cause of formation after operating experience and prospecting failure
Type.Because thunder and lightning occurs the moment, thunderbolt causes the failure of transmission line of electricity continuously largely to occur, while being struck by lightning near thunderbolt circuit
The induced voltage for causing may be superimposed vegetation and filth etc., cause transmission line of electricity to dodge tripping operation, exist for failure judgement property
Certain difficulty, and need attendant to investigate at the scene, it is less efficient, increase work load.
The content of the invention
This application provides a kind of recognition methods of transmission line lightning stroke failure, to solve prior art for failure judgement
There is certain difficulty in property, and need attendant to investigate at the scene, less efficient, increase the problem of work load.
This application provides a kind of recognition methods of transmission line lightning stroke failure, including：
Obtain fault current waveform；
The fault current waveform is normalized, the normalized value of fault current waveform is obtained；
Normalized value and the normalized value of lightning fault current waveform according to the fault current waveform, obtain waveform phase
Like value；
According to the waveform similar value, the fault type of transmission line of electricity is determined.
Further, it is described according to waveform similar value, include the step of the fault type for determining transmission line of electricity：
If the waveform similar value is more than preset value, the failure of transmission line of electricity is defined as non-lightning fault；
If the waveform similar value is less than or equal to preset value, the failure of transmission line of electricity is defined as lightning fault.
Further, the normalization for being normalized to the fault current waveform, obtaining fault current waveform
The step of value, includes：
According to the fault current waveform, calculated according to equation below, obtain the normalized value of fault current waveform；
Wherein, Y (i) represents the normalized value of fault current waveform ith sample point, and M (i) represents fault current waveform the
The i amplitude of sampled point, Max [M (i)] represents the maximum amplitude of i sampled point of fault current waveform.
Further, it is described before faulty circuit current waveform is obtained, including：
Obtain lightning fault current waveform；
According to lightning fault current waveform, calculated according to equation below, obtain the normalized value of lightning fault current waveform；
Wherein, X (i) represents the normalized value of fault current waveform ith sample point, and L (i) represents fault current waveform the
The i amplitude of sampled point, Max [L (i)] represents the maximum amplitude of i sampled point of fault current waveform.
Further, the normalization of the normalized value according to the fault current waveform and lightning fault current waveform
Value, includes the step of obtain waveform similar value：
The normalized value of normalized value and lightning fault current waveform according to the fault current waveform, according to following public affairs
Formula, is calculated waveform similar value；
Wherein, Pxy represents waveform similar value, and X (i) represents the normalized value of fault current waveform ith sample point, Y (i)
The normalized value of fault current waveform ith sample point is represented, n represents total number of sample points.
From above technical scheme, the application provides a kind of recognition methods of transmission line lightning stroke failure, by failure
Current waveform is compared with lightning fault current waveform, and whether the fault type for recognizing transmission line of electricity is lightning fault, the party
Compared to existing lightning fault recognition methods, Maintenance free personnel confirm method to failure point of power transmission line, improves work
Efficiency, and recognition accuracy is high.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme of the application, letter will be made to the accompanying drawing to be used needed for embodiment below
Singly introduce, it should be apparent that, for those of ordinary skills, without having to pay creative labor,
Other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the present processes flow chart.
Specific embodiment
Referring to Fig. 1, Fig. 1 is the present processes flow chart.This application provides a kind of knowledge of transmission line lightning stroke failure
Other method, including：
Step 11：Obtain fault current waveform.
Fault current waveform calculates the fault current waveform in 5ms since 0.1s before the current waveform mutation moment.Due to
The current waveform of the time period is produced compared with macromutation, makes recognition result more accurate, and reliability is high.
Step 12：The fault current waveform is normalized, the normalized value of fault current waveform is obtained.
Step 13：Normalized value and the normalized value of lightning fault current waveform according to the fault current waveform, obtain
To waveform similar value.
Lightning fault current waveform is also since 0.1s before the current waveform mutation moment, to calculate the fault current in 5ms
Waveform.Lightning fault current waveform be according to selected in historical failure waveform come.
Step 14：According to the waveform similar value, the fault type of transmission line of electricity is determined.
If the waveform similar value is more than preset value, the failure of transmission line of electricity is defined as non-lightning fault；If institute
State waveform similar value and be less than or equal to preset value, then the failure of transmission line of electricity is defined as lightning fault.
From above technical scheme, the application provides a kind of recognition methods of transmission line lightning stroke failure, by failure
Current waveform is compared with lightning fault current waveform, and whether the fault type for recognizing transmission line of electricity is lightning fault, the party
Compared to existing lightning fault recognition methods, Maintenance free personnel confirm method to failure point of power transmission line, improves work
Efficiency, and recognition accuracy is high.
Another embodiment of the application offer, a kind of recognition methods of transmission line lightning stroke failure, including：
Step 21：Obtain lightning fault current waveform.
Step 22；According to lightning fault current waveform, calculated according to equation below, obtain returning for lightning fault current waveform
One change value；
Wherein, X (i) represents the normalized value of fault current waveform ith sample point, and L (i) represents fault current waveform the
The i amplitude of sampled point, Max [L (i)] represents the maximum amplitude of i sampled point of fault current waveform.
Step 23：Obtain fault current waveform.
Step 24：According to the fault current waveform, calculated according to equation below, obtain the normalization of fault current waveform
Value；
Wherein, Y (i) represents the normalized value of fault current waveform ith sample point, and M (i) represents fault current waveform the
The i amplitude of sampled point, Max [M (i)] represents the maximum amplitude of i sampled point of fault current waveform.
Step 25：Normalized value and the normalized value of lightning fault current waveform according to the fault current waveform, obtain
The step of to waveform similar value, includes：
The normalized value of normalized value and lightning fault current waveform according to the fault current waveform, according to following public affairs
Formula, is calculated waveform similar value；
Wherein, Pxy represents waveform similar value, and X (i) represents the normalized value of fault current waveform ith sample point, Y (i)
The normalized value of fault current waveform ith sample point is represented, n represents total number of sample points.Preferably, n=3000.
Step 26：If the waveform similar value is more than preset value, the failure of transmission line of electricity is defined as non-lightning fault；
If the waveform similar value is less than or equal to preset value, the failure of transmission line of electricity is defined as lightning fault.Preferably, preset
Be worth is 0.2.
From above technical scheme, the application provides a kind of recognition methods of transmission line lightning stroke failure, by failure
Current waveform is compared with lightning fault current waveform, and whether the fault type for recognizing transmission line of electricity is lightning fault, the party
Compared to existing lightning fault recognition methods, Maintenance free personnel confirm method to failure point of power transmission line, improves work
Efficiency, and recognition accuracy is high.
Claims (5)
1. a kind of recognition methods of transmission line lightning stroke failure, it is characterised in that including：
Obtain fault current waveform；
The fault current waveform is normalized, the normalized value of fault current waveform is obtained；
Normalized value and the normalized value of lightning fault current waveform according to the fault current waveform, obtain waveform similar
Value；
According to the waveform similar value, the fault type of transmission line of electricity is determined.
2. the method for claim 1, it is characterised in that described according to waveform similar value, determines the failure of transmission line of electricity
The step of type, includes：
If the waveform similar value is more than preset value, the failure of transmission line of electricity is defined as non-lightning fault；
If the waveform similar value is less than or equal to preset value, the failure of transmission line of electricity is defined as lightning fault.
3. the method for claim 1, it is characterised in that described to be normalized to the fault current waveform,
The step of normalized value for obtaining fault current waveform, includes：
According to the fault current waveform, calculated according to equation below, obtain the normalized value of fault current waveform；
Wherein, Y (i) represents the normalized value of fault current waveform ith sample point, and M (i) represents fault current waveform i-th
The amplitude of sampled point, Max [M (i)] represents the maximum amplitude of i sampled point of fault current waveform.
4. method as claimed in claim 3, it is characterised in that described before faulty circuit current waveform is obtained, including：
Obtain lightning fault current waveform；
According to lightning fault current waveform, calculated according to equation below, obtain the normalized value of lightning fault current waveform；
Wherein, X (i) represents the normalized value of fault current waveform ith sample point, and L (i) represents fault current waveform i-th
The amplitude of sampled point, Max [L (i)] represents the maximum amplitude of i sampled point of fault current waveform.
5. method according to claim 4, it is characterised in that the normalized value according to the fault current waveform with
The normalized value of lightning fault current waveform, includes the step of obtain waveform similar value：
The normalized value of normalized value and lightning fault current waveform according to the fault current waveform, in accordance with the following steps,
It is calculated waveform similar value；
Wherein, Pxy represents waveform similar value, and X (i) represents the normalized value of fault current waveform ith sample point, and Y (i) is represented
The normalized value of fault current waveform ith sample point, n represents total number of sample points.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710239940.XA CN106841931A (en) | 2017-04-13 | 2017-04-13 | A kind of recognition methods of transmission line lightning stroke failure |
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| CN201710239940.XA CN106841931A (en) | 2017-04-13 | 2017-04-13 | A kind of recognition methods of transmission line lightning stroke failure |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107247219A (en) * | 2017-07-27 | 2017-10-13 | 云南电网有限责任公司 | A kind of ultra-high-tension power transmission line abort situation decision method based on waveform similarity |
| CN115616350A (en) * | 2022-12-19 | 2023-01-17 | 昆明理工大学 | Lightning stroke fault identification method and system based on curvature non-monotonicity |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002340967A (en) * | 2001-05-15 | 2002-11-27 | Furukawa Electric Co Ltd:The | Method for detecting failure point of transmission and distribution line and its device |
| CN101242098A (en) * | 2008-03-12 | 2008-08-13 | 昆明理工大学 | Thunder failure recognition method for row wave protection of DC power transmission line |
| CN102385019A (en) * | 2011-07-28 | 2012-03-21 | 海南电力试验研究所 | Method for distinguishing lightning stroke and non-lightning stroke faults of transmission line |
| CN102788932A (en) * | 2012-06-13 | 2012-11-21 | 武汉三相电力科技有限公司 | Identification method of lightning shielding failure of electric transmission line |
| CN104820168A (en) * | 2015-05-05 | 2015-08-05 | 云南电网有限责任公司电力科学研究院 | Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database |
| CN106443335A (en) * | 2016-09-20 | 2017-02-22 | 广西电网有限责任公司钦州供电局 | Lightning stroke fault identification method and system |
-
2017
- 2017-04-13 CN CN201710239940.XA patent/CN106841931A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002340967A (en) * | 2001-05-15 | 2002-11-27 | Furukawa Electric Co Ltd:The | Method for detecting failure point of transmission and distribution line and its device |
| CN101242098A (en) * | 2008-03-12 | 2008-08-13 | 昆明理工大学 | Thunder failure recognition method for row wave protection of DC power transmission line |
| CN102385019A (en) * | 2011-07-28 | 2012-03-21 | 海南电力试验研究所 | Method for distinguishing lightning stroke and non-lightning stroke faults of transmission line |
| CN102788932A (en) * | 2012-06-13 | 2012-11-21 | 武汉三相电力科技有限公司 | Identification method of lightning shielding failure of electric transmission line |
| CN104820168A (en) * | 2015-05-05 | 2015-08-05 | 云南电网有限责任公司电力科学研究院 | Lightning stroke fault determination method based on waveform difference degree and lightning stroke fault sample database |
| CN106443335A (en) * | 2016-09-20 | 2017-02-22 | 广西电网有限责任公司钦州供电局 | Lightning stroke fault identification method and system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107247219A (en) * | 2017-07-27 | 2017-10-13 | 云南电网有限责任公司 | A kind of ultra-high-tension power transmission line abort situation decision method based on waveform similarity |
| CN107247219B (en) * | 2017-07-27 | 2019-07-23 | 云南电网有限责任公司 | A kind of ultra-high-tension power transmission line abort situation determination method based on waveform similarity |
| CN115616350A (en) * | 2022-12-19 | 2023-01-17 | 昆明理工大学 | Lightning stroke fault identification method and system based on curvature non-monotonicity |
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Inventor after: Huang Ran Inventor after: Han Yiming Inventor after: Li Hao Inventor after: Zhou Fangrong Inventor after: Zhang Guangbin Inventor after: Dong Jun Inventor after: Wang Huichun Inventor after: Yu Zongjun Inventor before: Huang Ran Inventor before: Mu Runzhi Inventor before: Zhou Fangrong Inventor before: Ma Yi Inventor before: Qian Guochao Inventor before: Zhang Guangbin Inventor before: Han Yiming Inventor before: Ma Yutang Inventor before: Shen Yuan |
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Application publication date: 20170613 |