CN103809061A - Technique for analyzing power transmission line fault type based on grey correlation analysis - Google Patents
Technique for analyzing power transmission line fault type based on grey correlation analysis Download PDFInfo
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- CN103809061A CN103809061A CN201210437965.8A CN201210437965A CN103809061A CN 103809061 A CN103809061 A CN 103809061A CN 201210437965 A CN201210437965 A CN 201210437965A CN 103809061 A CN103809061 A CN 103809061A
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Abstract
The invention discloses a technique for analyzing a power transmission line fault type based on grey correlation analysis in order to accurately find out the fault of a power transmission line. The technique comprises: firstly using a waveform of a power transmission line to be detected as a reference sequence and using waveforms of ten common power transmission line fault types as comparison sequences; then preprocessing the reference sequence and the comparison sequences by using wavelet de-noising processing and normalization processing; and finally, determining a relative relational degree of the power transmission line to be detected by using the grey correlation analysis and determining the fault type of the power transmission line to be detected by using a maximum relative relational degree. By an experimental result, the correctness and the feasibility of the technique are manifested. The technique is simple in algorithm and easy to be processed by computer programs, and has low cost compared with other phase selection methods.
Description
Technical field
The invention belongs to transmission line malfunction type analysis, be specifically related to the transmission line malfunction type analysis technology based on grey correlation analysis.
Background technology
In high-voltage line protection, adopt at present stable state fault amount phase selection element (not comprising Sudden Changing Rate phase selection element) to mainly contain two classes; one class is impedance phase selection; the measurement result of this class phase selection element Main Basis impedance measurement element is confirmed fault phase; it is energy selecting properly fault phase in the situation that of most of simple fault; but it is larger that it is affected by the transition resistance of system operation mode, trouble spot, phase selection result is often not bery desirable.It is separate that another kind of extensively employing carrys out failure judgement with the phase differential of zero-sequence current and negative-sequence current, order component phase selection element has and is subject to the less and advantage such as be not subject to that load current affects of the impact of trouble spot transition resistance, but also there are two defects: the one, can not distinguish single-phase earthing and two phase ground, must adopt other auxiliary phase-selecting methods; The 2nd, in evolved fault (a bit in protection positive dirction, another point in protection in the other direction), correctly faults is separate for the phase place of zero-sequence current and negative-sequence current, falsely drop phase, also has similar problem in the cross line fault of joint use.
Grey correlation analysis is mainly the analysis to things situation development conversion, the namely quantitative analysis to system dynamic development process, and it carrys out the degree of closeness between measurement factor according to the similar or different degree of developing state between factor.It,, take the qualitative analysis of system as prerequisite, quantitative test are as foundation, carries out the association analysis of Similar Broken Line between system factor, between system action.
In Travelling Wave Fault Location, collect a large amount of fault datas, the waveform of these data is very similar with true fault waveform.We collect a large amount of fault datas in Travelling Wave Fault Location, these data waveforms are similar with true fault row ripple, use grey correlation analysis to sentence phase to the fault occurring, judged result is not affected by the transition resistance of system operation mode, trouble spot, can effectively distinguish single-phase earthing and two phase ground experiment.
Summary of the invention
Object of the present invention provides a kind of Novel power transmission circuitry fault detection method, has proposed a kind of transmission line malfunction detection technique based on grey correlation analysis, and concrete steps are as follows.
Step 1: determine reference waveform and compare waveform.
Be reference waveform by the waveform collecting in RTDS, comprise A, B, C three-phase circuit; Take ten kinds of common fault types as comparison waveform, comprise B phase short circuit grounding, C phase short circuit grounding, BC phase fault, AC phase fault, BC phase fault ground connection, AC phase fault ground connection, A phase short circuit grounding, AB phase fault ground connection, AB phase fault ground connection, ABC three-phase shortcircuit.
Step 2: pre-service.
Contain much noise owing to collecting data, need to and compare waveform and carry out pre-service reference waveform, comprise and carry out wavelet noise processing and normalized.
Step 3: determine reference sequences and comparative sequences.
In the middle of same middle fault type, no matter wherein, power transmission line two ends collect data waveform without very large variation in trouble spot, and therefore to same fault, the waveform of fault can be thought identical at two ends.Therefore, before various faults occur, get 20 points, fault is got 80 points after occurring, and sets up reference sequences and comparative sequences, is designated as:
Here,
be respectively the transmission line of electricity waveform of A phase, B phase and C phase.
Step 4: the grey incidence coefficient of determining reference sequences and comparative sequences.
Computing reference sequence
with comparative sequences
between grey incidence coefficient
.
。
Step 5: the grey relational grade of determining reference sequences and comparative sequences.
Computing reference sequence
with comparative sequences
between grey relational grade
.
Step 6: determine transmission line malfunction type.
By front 5 steps, calculate the grey relational grade of transmission line of electricity three-phase circuit A to be detected, B, C and common ten kinds of fault types
, application following formula calculates the relative degree of incidence of A, B, C three phase line.
Wherein
represent A, B, C.
Determine transmission line malfunction type by the relative degree of incidence that judges A, B, C three phase line, relative degree of incidence is larger, represents that transmission line of electricity to be detected belongs to this class standard fault transmission line of electricity.
The type that the present invention adopts Grey Correlation Analysis Theory identification fault transmission line of electricity to belong to, Grey Correlation Analysis Theory does not have too high request to size, when analysis, do not need the typical regularity of distribution yet, use case verification this invention pass judgment on correctness and the feasibility of transmission line malfunction type, algorithm is simple, be easy to computer programming processing, compared with other phase-selecting methods, cost is low.
Accompanying drawing explanation
Fig. 1 is process flow diagram of the present invention.
Embodiment
With reference to Fig. 1, detailed process of the present invention comprises.
Step 1: determine reference waveform and compare waveform.
Be reference waveform by the waveform collecting in RTDS, comprise A, B, C three-phase circuit; Take ten kinds of common fault types as comparison waveform, comprise B phase short circuit grounding, C phase short circuit grounding, BC phase fault, AC phase fault, BC phase fault ground connection, AC phase fault ground connection, A phase short circuit grounding, AB phase fault, AB phase fault ground connection, ABC three-phase shortcircuit.
Step 2: pre-service.
Contain much noise owing to collecting data, need to and compare waveform and carry out pre-service reference waveform, comprise and carry out wavelet noise processing and normalized.
Step 3: determine reference sequences and comparative sequences.
In the middle of same middle fault type, no matter wherein, power transmission line two ends collect data waveform without very large variation in trouble spot, and therefore to same fault, the waveform of fault can be thought identical at two ends.Therefore, before various faults occur, get 20 points, fault is got 80 points after occurring, and sets up reference sequences and comparative sequences, is designated as:
Here,
be respectively the transmission line of electricity waveform of A phase, B phase and C phase.
Step 4: the grey incidence coefficient of determining reference sequences and comparative sequences.
Computing reference sequence
with comparative sequences
between grey incidence coefficient
.
Step 5: the grey relational grade of determining reference sequences and comparative sequences.
Computing reference sequence
with comparative sequences
between grey relational grade
.
Step 6: determine transmission line malfunction type.
By front 5 steps, calculate the grey relational grade of transmission line of electricity three-phase circuit A to be detected, B, C and common ten kinds of fault types
, application following formula calculates the relative degree of incidence of A, B, C three phase line.
Wherein
represent A, B, C.
In order to further illustrate the validity of this invention, describe as an example of certain transmission line of electricity example.Adopt step 1 ~ step 5, the grey relational grade that obtains transmission line of electricity A, B to be detected, C three-phase is shown in Table 1 respectively, and table 2 is transmission line of electricity A, B to be detected, the relative grey correlative degree of C three-phase.
The grey relational grade of table 1 A, B, C three-phase
| Fault type | A phase | B phase | C phase |
| B phase short circuit grounding | 0.00679 | 0.00691 | 0.00776 |
| C phase short circuit grounding | 0.00732 | 0.00624 | 0.00382 |
| BC phase fault | 0.00717 | 0.00629 | 0.00372 |
| AC phase fault | 0.00494 | 0.00660 | 0.00424 |
| BC phase fault ground connection | 0.00719 | 0.00372 | 0.00638 |
| AC phase fault ground connection | 0.00371 | 0.00662 | 0.00461 |
| A phase short circuit grounding | 0.00743 | 0.00656 | 0.00791 |
| AB phase fault | 0.00751 | 0.00842 | 0.00791 |
| AB phase fault ground connection | 0.00722 | 0.00774 | 0.00792 |
| ABC three-phase shortcircuit | 0.00636 | 0.00734 | 0.00636 |
The relative grey correlative degree of table 2 A, B, C three-phase
| Fault type | A phase | B phase | C phase |
| B phase short circuit grounding | 0.8302 | 0.8575 | 1.0860 |
| C phase short circuit grounding | 0.9730 | 0.6774 | 0.0269 |
| BC phase fault | 0.9326 | 0.6909 | 0 |
| AC phase fault | 0.3315 | 0.7742 | 0.1398 |
| BC phase fault ground connection | 0.9380 | 0 | 0.7151 |
| AC phase fault ground connection | 0 | 0.7796 | 0.2392 |
| A phase short circuit grounding | 1.0027 | 0.7634 | 1.1263 |
| AB phase fault | 1.0243 | 1.2634 | 1.1263 |
| AB phase fault ground connection | 0.9461 | 1.0806 | 1.1290 |
| ABC three-phase shortcircuit | 0.7143 | 0.9731 | 0.7097 |
In table 1, each degree of association coefficient of A phase short circuit in A circuitry phase to be detected and standard fault, AB phase fault, AB phase short circuit grounding, ABC phase short circuit grounding is very approaching, wherein, and the degree of association coefficient maximum of A phase and AB phase fault; The degree of association coefficient maximum of the AB phase fault in B circuitry phase and standard fault to be detected; C circuitry phase to be detected also with standard fault in the degree of association coefficient maximum of AB phase fault.
In table 2, the relative degree of incidence coefficient maximum of A circuitry phase to be detected and AB phase fault; The relative degree of incidence coefficient maximum of the AB phase fault in B circuitry phase and standard fault to be detected; C circuitry phase to be detected also with standard fault in the relative degree of incidence coefficient maximum of AB phase fault.
By analysis above, known, there is AB phase fault in transmission line of electricity to be detected, and this conforms to actual detection.
Claims (3)
1. the transmission line malfunction type analysis technology based on grey correlation analysis, its concrete steps are as follows: 1) take A, the B of transmission line of electricity to be detected, C three-phase line as reference waveform, take ten kinds of conventional transmission line malfunction types as comparison waveform; 2) reference waveform and comparison waveform are carried out to pre-service; 3) application Grey Relation Algorithm computing reference waveform and the grey relational grade that compares waveform, computing reference waveform and the relatively relative grey correlative degree between waveform on this basis, and determine with this which kind of fault transmission line of electricity to be detected belongs to.
2. the transmission line malfunction type analysis technology based on grey correlation analysis according to claim 1, is characterized in that comparison waveform comprises B phase short circuit grounding, C phase short circuit grounding, BC phase fault, AC phase fault, BC phase fault ground connection, AC phase fault ground connection, A phase short circuit grounding, AB phase fault ground connection, AB phase fault ground connection, ABC three-phase shortcircuit.
3. the transmission line malfunction type analysis technology based on grey correlation analysis according to claim 1, is characterized in that adopting Grey Correlation Analysis Theory to identify the type of transmission line malfunction.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106226621A (en) * | 2016-07-18 | 2016-12-14 | 南京国电南自电网自动化有限公司 | A kind of secondary device fault diagnosis based on grey correlation analysis and method for early warning |
| CN107832927A (en) * | 2017-10-25 | 2018-03-23 | 国网冀北电力有限公司电力科学研究院 | 10kV circuits line based on gray relative analysis method becomes relation evaluation method |
| CN108429245A (en) * | 2018-03-23 | 2018-08-21 | 上海电力学院 | Wide area backup protection method based on sequence electric current grey correlation and Multi-information acquisition |
| CN109064056A (en) * | 2018-08-31 | 2018-12-21 | 海南电网有限责任公司电力科学研究院 | A kind of Lightning stroke Protection Measures for Over-Head Lines selection method based on gray relative analysis method |
| CN109375065A (en) * | 2018-12-12 | 2019-02-22 | 长沙理工大学 | Travelling wave identification method and positioning device based on three-dimensional grey absolute correlation degree |
| CN110161366A (en) * | 2019-06-28 | 2019-08-23 | 华北电力大学（保定） | A kind of steam turbine generator excitation winding interturn short-circuit failure diagnosing method |
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2012
- 2012-11-06 CN CN201210437965.8A patent/CN103809061A/en active Pending
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106226621A (en) * | 2016-07-18 | 2016-12-14 | 南京国电南自电网自动化有限公司 | A kind of secondary device fault diagnosis based on grey correlation analysis and method for early warning |
| CN106226621B (en) * | 2016-07-18 | 2019-01-18 | 南京国电南自电网自动化有限公司 | A kind of secondary device fault diagnosis and method for early warning based on grey correlation analysis |
| CN107832927A (en) * | 2017-10-25 | 2018-03-23 | 国网冀北电力有限公司电力科学研究院 | 10kV circuits line based on gray relative analysis method becomes relation evaluation method |
| CN108429245A (en) * | 2018-03-23 | 2018-08-21 | 上海电力学院 | Wide area backup protection method based on sequence electric current grey correlation and Multi-information acquisition |
| CN108429245B (en) * | 2018-03-23 | 2019-10-29 | 上海电力学院 | Wide area backup protection method based on sequence electric current grey correlation and multi-information fusion |
| CN109064056A (en) * | 2018-08-31 | 2018-12-21 | 海南电网有限责任公司电力科学研究院 | A kind of Lightning stroke Protection Measures for Over-Head Lines selection method based on gray relative analysis method |
| CN109375065A (en) * | 2018-12-12 | 2019-02-22 | 长沙理工大学 | Travelling wave identification method and positioning device based on three-dimensional grey absolute correlation degree |
| CN110161366A (en) * | 2019-06-28 | 2019-08-23 | 华北电力大学（保定） | A kind of steam turbine generator excitation winding interturn short-circuit failure diagnosing method |
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Application publication date: 20140521 |