CN110068747A - A kind of transmission line lightning stroke flashover method of discrimination based on OPGW - Google Patents
A kind of transmission line lightning stroke flashover method of discrimination based on OPGW Download PDFInfo
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- CN110068747A CN110068747A CN201910324181.6A CN201910324181A CN110068747A CN 110068747 A CN110068747 A CN 110068747A CN 201910324181 A CN201910324181 A CN 201910324181A CN 110068747 A CN110068747 A CN 110068747A
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- opgw
- transmission line
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- lightning stroke
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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
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
Abstract
The present invention provides a kind of transmission line lightning stroke flashover method of discrimination based on OPGW, comprising: Step 1: acquiring the lightning strike signals incuded in OPGW optical fiber when transmission line of electricity is by being struck by lightning；Step 2: the lightning strike signals to amplitude greater than threshold value V1 carry out FFT transform, spectrogram is drawn according to the spectrum signature that FFT transform obtains；Step 3: being filtered to spectrogram, frequency spectrum profiles curve graph is extracted；Step 4: the frequency spectrum profiles curve extracted is carried out peak detection, and its respective frequencies point is ranked up according to the descending sequence of peak value, choose the corresponding frequency of top n peak point as feature to；Step 5: the feature vector that statistics is extracted is in the numerical value in low-frequency range as criterion, judges whether it is greater than given threshold F, be then determined as lightning stroke flashover if more than threshold value F.The method of this all fronts monitoring solves the problems, such as that lightning stroke flashover monitoring distance is too short, equipment installation is complicated, provides strong foundation for the development of route maintenance work.
Description
Technical field
The present invention relates to electric system to monitor lightning stroke flashover identification technology field on-line, specifically a kind of based on the defeated of OPGW
Electric line lightning stroke flashover method of discrimination.
Background technique
High voltage power transmisson system route is tediously long, it is complicated and changeable to be located in environment, weather is multifarious on the way, it is made to face complexity
It is highly prone to failure under the natural calamity invasion of change, wherein lightning stroke flashover failure is major failure, and according to statistics, lightning stroke flashover is jumped
Lock Zhan always trip 40%, caused frequency of power cut also reach total failare power failure 20%, therefore reinforce transmission line of electricity thunder
Electricity protection is significant to guarantee safe and stable operation of power system.And identification circuit lightning fault type, it can be set for lightning protection
Meter provides reliable data, formulates cost-effective lightning protection measures, and provide foundation to improve line insulation cooperation.
The research largely to the lightning stroke flashover identification of transmission line of electricity is carried out both at home and abroad at present, mainly from the different spies of extraction
Sign is analyzed, it may be assumed that utilizes the method for three-phase voltage waveform recognition lightning stroke type；The multi-measuring point information for not substituting into traveling wave speed is melted
The traveling wave fault location algorithm of conjunction；By way of extracting zero-sequence current time domain waveform and carrying out integral calculation, lightning stroke flashover is carried out
With the differentiation of non-flashover；Also have and develop specific technique, for example lightning stroke flashover limiter is developed, and can reinforce lightning protection effect
Fruit；Also the position of with good grounds special adsorbate quickly positions the mode of lightning stroke flashover fault point.But all there is monitoring in these technologies
Or the problem that guard space is too short, more good guarantee can not be provided for the O&M of transmission line of electricity.And draw extensively in recent years
OPGW optical fiber has the characteristics that propagation is stablized, decay small, undistorted, strong antijamming capability, therefore utilizes OPGW sensing letter
Number being applied to thunder and lightning analysis more has signal stabilization and monitors wide advantage.
Summary of the invention
The technical problem to be solved in the present invention: providing a kind of transmission line lightning stroke flashover method of discrimination based on OPGW, with
Lightning fault of the lightning strike signals as signature analysis monitoring full line long range in optical fiber, is dodged with solving lightning stroke in the prior art
That there are monitoring distances is too short for network identification or method for limiting, and need multiple devices with cover completely, increase the problem of cost.
The technical solution adopted by the invention is as follows:
A kind of transmission line lightning stroke flashover method of discrimination based on OPGW, includes the following steps:
Step 1: acquiring the lightning strike signals incuded in OPGW optical fiber when transmission line of electricity is by being struck by lightning；
Step 2: the lightning strike signals to amplitude greater than threshold value V1 carry out FFT transform, the frequency spectrum obtained according to FFT transform is special
Sign draws spectrogram；
Step 3: being filtered to spectrogram, frequency spectrum profiles curve graph is extracted；
Step 4: the frequency spectrum profiles curve extracted is carried out peak detection, and right according to the descending sequence of peak value
Its respective frequencies point is ranked up, and chooses the corresponding frequency of top n peak point as feature vector, N is the natural number greater than 1；
Step 5: the feature vector that statistics is extracted is in the numerical value in low-frequency range as criterion, judge whether it is greater than
Given threshold F is then determined as lightning stroke flashover if more than threshold value F.
Further, threshold value V1 value is 0.3 in step 2.
Further, the method that spectrum signature is calculated in the step 2 are as follows: convert lightning strike signals using FFT technique
To after frequency domain, its amplitude and frequency are sought, carries out spectrogram drafting.
Further, the step 3 is filtered spectrogram, extracts frequency spectrum profiles curve graph specifically: with even
Continue n spectrum value as a sliding window, calculates value of the average value as window center point under each window, be recorded as frequency spectrum
Profile completes the filtering of frequency spectrum.
Further, N value is 50 in the step 4.
Further, low-frequency range is 0-5KHz in step 5, and the threshold value F value is 35.
Beneficial effects of the present invention:
The present invention makes full use of the height of fiber resource and distributed fiberoptic sensor in OPGW optical
The ability of frequency signal quick detection obtains the lightning strike signals sensed in OPGW, special by amplitude, the frequency spectrum of analyzing lightning strike signals
The features such as sign, contour curve, peak value and feature vector come accurate fast automatic identification lightning stroke flashover and non-flashover；The present invention is pair
Lightning strike signals in OPGW carry out analysis identification, can be monitored to full line, dramatically reduce cost, expand monitoring
Range, and equipment installation is simplified, important practical guiding value is provided for route O&M.
Detailed description of the invention
Fig. 1 is the flow chart of the transmission line lightning stroke flashover method of discrimination the present invention is based on OPGW；
Fig. 2 is the criterion comparison diagram of lightning stroke flashover of the present invention Yu non-flashover.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, the technical solution in the present invention is clearly and completely described.
Referring to Fig. 1, a kind of transmission line lightning stroke flashover method of discrimination based on OPGW, specifically includes the following steps:
Step 1: when transmission line of electricity is by being struck by lightning, acquiring the lightning strike signals incuded in OPGW optical fiber；
Specifically, the optical signal polarization state detector being mainly struck by lightning by distribution OPGW in monitoring system, photoelectric conversion
The lightning strike signals incuded in unit, especially high speed acquisition card module quick detection acquisition OPGW optical fiber, sample frequency are set as
10MHz；
Step 2: the lightning strike signals to amplitude greater than threshold value V1 carry out FFT transform, the spectrum signature obtained according to FFT transform
Draw spectrogram；
Specifically, first determining whether the amplitude of surveyed lightning strike signals is greater than threshold value V1, V1 is putting according to acquisition device
What big multiple determined, the parameter setting of equipment is acquired at present are as follows: light decay 1.8, circuit amplification factor are 0.45, receiving end light function
Rate is -23.9dB, then threshold value V1 value is 0.3；Then the lightning strike signals by amplitude greater than threshold value V1 carry out lightning strike signals
FFT transform seeks its amplitude and frequency, draws spectrogram:
Lightning strike signals x has N number of sampled point, and sample frequency Fs can then be obtained by FFT transform:
Wherein, ωN=e(-2πi)/N, then amplitude A and frequency F after removing first DC component may be expressed as:
Spectrogram can be drawn.
Step 3: spectrogram being filtered, its contour curve figure is extracted；
Using continuous n spectrum value as a sliding window (n=20), the average value under each window is calculated as window center
The value of point, is recorded as the profile of frequency spectrum, completes the filtering of frequency spectrum, wherein the calculation formula of the central value of i-th of window are as follows:
Step 4: peak detection being carried out to frequency spectrum profiles, extracts feature vector；
The frequency spectrum profiles curve extracted is subjected to peak detection, and corresponds to frequency to it according to the descending sequence of peak value
Rate point is ranked up, and is then chosen top n frequency (N=50) according to ranking results and is used as feature vector F:
F=[f1,f2,…,fN]
Wherein f1Maximum amplitude point respective frequencies after corresponding filtering, other Frequency points are successively arranged by peak point amplitude size
Sequence.
Step 5: completely counting numerical value that the feature vector extracted is in low-frequency range as criterion, judge whether it is greater than
Given threshold F is then determined as lightning stroke flashover if more than threshold value F.
Lightning stroke flashover optical signalling since the modulation by flashover current, frequecy characteristic embody a concentrated reflection of in low-frequency range, according to
According to current sample frequency, the low-frequency range of spectrogram concentrated reflection is 0-5KHz, also means that extracted feature vector
In low-frequency range, and since lightning stroke flashover signal duration is slightly long, then the points of low-frequency range are more.And according to signal statistics
Analysis can obtain: lightning stroke flashover generally has 40-50 low-frequency range feature vector, rather than flashover is generally below 20, therefore settable
Threshold value F=35 is greater than threshold value, is then judged to lightning stroke flashover as criterion, statistic, otherwise is non-flashover.As shown in Fig. 2, flashover
The feature vector frequency of signal has nearly 40 feature vectors in the low-frequency range lower than 5KHz, rather than flashover signal then only has 15
It is a, according to the threshold value F=35 of setting, it fast automatic can identify lightning stroke flashover and non-flashover.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Belong to those skilled in the art in the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of, all answers
It is included within the scope of the present invention.
Claims (6)
1. a kind of transmission line lightning stroke flashover method of discrimination based on OPGW, it is characterised in that include the following steps:
Step 1: acquiring the lightning strike signals incuded in OPGW optical fiber when transmission line of electricity is by being struck by lightning；
Step 2: the lightning strike signals to amplitude greater than threshold value V1 carry out FFT transform, drawn according to the spectrum signature that FFT transform obtains
Spectrogram processed；
Step 3: being filtered to spectrogram, frequency spectrum profiles curve graph is extracted；
Step 4: the frequency spectrum profiles curve extracted is carried out peak detection, and right to its according to the descending sequence of peak value
It answers Frequency point to be ranked up, chooses the corresponding frequency of top n peak point as feature vector, N is the natural number greater than 1；
Step 5: the feature vector that statistics is extracted is in the numerical value in low-frequency range as criterion, judge whether it is greater than setting
Threshold value F is then determined as lightning stroke flashover if more than threshold value F.
2. the transmission line lightning stroke flashover method of discrimination based on OPGW as described in claim 1, it is characterised in that: in step 2
Threshold value V1 value is 0.3.
3. the transmission line lightning stroke flashover method of discrimination based on OPGW as described in claim 1, it is characterised in that: the step
Two methods that spectrum signature is calculated are as follows: after lightning strike signals are transformed into frequency domain using FFT technique, seek its amplitude and frequency
Rate carries out spectrogram drafting.
4. the transmission line lightning stroke flashover method of discrimination based on OPGW as described in claim 1, it is characterised in that: step 3 pair
Spectrogram is filtered, and extracts frequency spectrum profiles curve graph specifically: using continuous n spectrum value as a sliding window, meter
Value of the average value as window center point under each window is calculated, the profile of frequency spectrum is recorded as, completes the filtering of frequency spectrum.
5. the transmission line lightning stroke flashover method of discrimination based on OPGW as described in claim 1, it is characterised in that: the step
N value is 50 in four.
6. the transmission line lightning stroke flashover method of discrimination based on OPGW as described in claim 1, it is characterised in that: in step 5
Low-frequency range is 0-5KHz, and the threshold value F value is 35.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112729152A (en) * | 2020-12-08 | 2021-04-30 | 广东工业大学 | Peak extraction method based on hyperbolic threshold denoising |
| CN113092960A (en) * | 2021-03-31 | 2021-07-09 | 广东电网有限责任公司清远供电局 | Insulator icing flashover monitoring method, device, equipment and storage medium |
| CN113092959A (en) * | 2021-03-31 | 2021-07-09 | 广东电网有限责任公司清远供电局 | Insulator pollution flashover monitoring method, device, equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112729152A (en) * | 2020-12-08 | 2021-04-30 | 广东工业大学 | Peak extraction method based on hyperbolic threshold denoising |
| CN113092960A (en) * | 2021-03-31 | 2021-07-09 | 广东电网有限责任公司清远供电局 | Insulator icing flashover monitoring method, device, equipment and storage medium |
| CN113092959A (en) * | 2021-03-31 | 2021-07-09 | 广东电网有限责任公司清远供电局 | Insulator pollution flashover monitoring method, device, equipment and storage medium |
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Application publication date: 20190730 |