CN109782139A - A kind of GIS ultrahigh frequency partial discharge monitoring system and its monitoring method - Google Patents
A kind of GIS ultrahigh frequency partial discharge monitoring system and its monitoring method Download PDFInfo
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- CN109782139A CN109782139A CN201811594054.XA CN201811594054A CN109782139A CN 109782139 A CN109782139 A CN 109782139A CN 201811594054 A CN201811594054 A CN 201811594054A CN 109782139 A CN109782139 A CN 109782139A
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Abstract
A kind of GIS ultrahigh frequency partial discharge monitoring system and its monitoring method, monitoring system include sensor array element, waveform signal acquisition and transmission unit, host computer unit.Host computer unit includes signal processing filter module, shelf depreciation judgment module, shelf depreciation locating module.Local positioning module includes distance calculation module and space orientation module.Monitoring method includes: ambient noise when acquiring GIS operation by sensor array element；Oscillograph obtains waveform and sends supreme position machine unit；Host computer unit calculates shelf depreciation threshold value, is monitored according to threshold value to subsequent Wave data；When being greater than threshold value there are multiple component amplitudes in one group of Wave data then determine that shelf depreciation occurs；Wave data is analyzed with becoming time window method, calculate the wave distortion time and acquires time delay, then hyperboloid equation group is solved with Newton iteration method and obtains partial discharge position, and is sounded an alarm.The present invention can quickly have found shelf depreciation and be accurately positioned.
Description
Technical field
The present invention relates to local discharge of electrical equipment to monitor field on-line, and in particular to a kind of GIS ultrahigh frequency shelf depreciation
On-line monitoring system and its monitoring method, it is intended to timely find the partial discharge phenomenon inside GIS and be positioned.
Background technique
Transformer station passes through long-play, be also easy to produce defect inside Cubicle Gas-Insulated Switchgear (GIS) and
Cause shelf depreciation, prolonged high frequency partial electric discharge is highly vulnerable to breakage or punctures GIS insulating layer, economic loss is caused even to cause
Accident, therefore the partial discharge phenomenon inside GIS is found in time and is positioned to it has to the O&M of transformer station extremely great
Meaning.
In traditional GIS partial discharge detection, after usual shelf depreciation problem has existed for a period of time, just it is detected
The personnel of repairing detect.Substation's GIS device quantity is more, if reducing maintenance interval, cost is multiplied, if between increasing maintenance
Every then easily missing the best repair time.Traditional GIS maintenance generally uses plane time difference method, and this method needs to convert repeatedly
Sensor position, it is also necessary to manually the distortion time of waveform diagram be judged, cumbersome complexity, and positioning accuracy is not high.
Various equipment lines are many and diverse in traditional GIS maintenance process, and not only inconvenient for use there is also security risks.
Summary of the invention
It is an object of the invention to be directed to above-mentioned the problems of the prior art, a kind of GIS ultrahigh frequency shelf depreciation is provided and is existed
Line monitoring system and its monitoring method can quickly find electric discharge phenomena and be positioned, and be routed and easy to operate, save people
Power.
To achieve the goals above, on-line monitoring system of the invention includes sensor array element, waveform signal acquisition
And transmission unit, host computer unit；The sensor array element includes be evenly arranged in GIS insulator outer rim multiple outer
The reference sensor setting sensor and being arranged in inside GIS；The waveform signal acquisition and transmission unit include oscillograph
And wireless router, oscillograph is for merge sensor waveform signal and regularly sends Wave data；The host computer unit
Including the signal processing filter module, shelf depreciation judgment module and shelf depreciation locating module being sequentially connected；Signal processing
Filter module receives Wave data and is pre-processed and filtered, and whether shelf depreciation judgment module generates part to the inside GIS
Electric discharge is judged that shelf depreciation locating module is used to position the position of shelf depreciation, including distance calculation module and space are determined
Position module.
The sensor array element includes four extra-high video sensors, and GIS insulator is disc insulator, and three outer
It sets sensor and is arranged in GIS disc insulator outer rim in a manner of 120 ° of interval, a reference sensor is arranged in inside GIS.
The monitoring method of GIS ultrahigh frequency partial discharge monitoring system of the present invention, comprising the following steps:
1) ambient noise when GIS operation is acquired by multiple extra-high video sensors in sensor array element；
2) oscillograph visualizes ambient noise, obtains waveform Y0,Y1,Y2,Y3And it is sent to by wireless router upper
Machine unit；
3) the signal processing filter module of host computer unit is to waveform Y0,Y1,Y2,Y3Pretreatment and small echo is normalized
Transformation filtering, shelf depreciation judgment module calculate shelf depreciation threshold value T0,T1,T2,T3, and according to threshold value to subsequent waveform
Data are monitored；
4) as Wave data Y0,Y1,Y2,Y3In be not greater than threshold value T0,T1,T2,T3Component or when number of components deficiency,
Repeat the above steps 1) -3)；Generation office inside GIS is then determined when being greater than threshold value there are multiple component amplitudes in one group of Wave data
Portion's electric discharge；
5) shelf depreciation locating module is to become time window method to Wave data Y0,Y1,Y2,Y3It is analyzed, it is abnormal to calculate waveform
Become the time, and acquires time delay Δ ti=ti-t0, then with Newton iteration method solution hyperboloid equation, partial discharge position is obtained, and
It sounds an alarm.
Preferably, if obtained Wave data is Y, Y is normalizedWhereinIt indicates
The mean value of waveform Y,It indicatesIn maximum value.The wavelet transform filtering using unbiased esti-mator and according to
The noise level estimation of each layer of wavelet decomposition is adjusted, and is filtered to waveform Y.
Preferably, host computer unit calculates threshold value T=5max (Y) by the Wave data obtained, and carries out at any time more
Newly, after system operation setting time, four threshold value T are locked0,T1,T2,T3。
Distance calculation module remembers waveform signal Y obtained by reference sensor0The wave distortion time be t0, remember outer sensor
Gained waveform signal Yi, i=1,2,3, the wave distortion time is t1,t2,t3, then time delay Δ ti=ti-t0；Shelf depreciation point arrives
The range difference Δ s of reference sensor and three outer sensorsi=c Δ ti, wherein c is the light velocity, and portion's point of discharge coordinate of setting a trap is
(x,y,z)。
It is as follows to construct hyperboloid equation:
Wherein, (x0,y0,z0) be built-in sensors coordinate, (xi,yi,zi) be outer sensor coordinate position；
Above-mentioned equation, which is solved, by Newton iteration method obtains the coordinate of shelf depreciation point.
Preferably, poor to become the signal standards that time window method calculates in time window to the waveform signal Y of set period of time:
Wherein, N is the dimension of signal Y, and i is time window length,
Secondly, calculating standard deviation gradient Di=Si-Si-1；
Finally, obtaining distortion time of origin:
The Newton iteration method it is iterative are as follows:
x(k+1)=x(x)-J-1(x(x))F(x(x))
Wherein,F is ternary Nonlinear System of Equations F (x)=0.
The sample rate of the oscillograph is selected according to GIS material.
Compared with prior art, equipment and device employed in on-line monitoring system of the invention are that GIS is locally put
Commonly used equipment in electro-detection, the present invention do not need to spend when whether there is shelf depreciation progress real-time monitoring to the inside GIS
A large amount of funds purchase new equipment, have extremely strong economic benefit；Data communication side between present device terminal and host computer
Formula is transmitted using network wireless, and the inconvenience at scene, this hair cannot be left by solving monitoring wiring complexity and technical staff
Bright shelf depreciation locating module analyzes Wave data with becoming time window method, calculates the wave distortion time, and acquire time delay,
Hyperboloid equation group is solved with Newton iteration method again, there is convenience of calculation, characteristic with high accuracy, therefore locating speed is fast, positioning
Precision is high.
Detailed description of the invention
Fig. 1 GIS ultrahigh frequency partial discharge monitoring system block diagram of the present invention；
Fig. 2 GIS ultrahigh frequency partial discharge monitoring method flow diagram of the present invention.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings.
Referring to Fig. 1, GIS ultrahigh frequency partial discharge monitoring system of the invention includes consisting of part: sensor
Array element, waveform signal acquisition and transmission unit, host computer unit.Host computer includes signal processing filter module, locally puts
Electric judgment module, shelf depreciation locating module.Local positioning module includes distance calculation module and space orientation module.
Sensor array element includes 4 extra-high video sensors, wherein 3 extra-high video sensors are in a manner of 120 ° of interval
It is arranged in GIS disc insulator outer rim；Another superfrequency sensor arrangement is inside GIS, also referred to as reference sensor.
Waveform acquisition and transmission unit include an oscillograph and a wireless router, and channel oscilloscope 1-4 fusion obtains
Superfrequency waveform sensor signal is taken, Wave data is periodically sent via network by wireless router.
Pretreatment and wavelet transform filtering is normalized to waveform in the signal processing filter module of host computer unit.If institute
Obtaining Wave data is Y, and Y is normalizedWhereinIndicate the mean value of waveform Y,It indicatesIn maximum value.Wavelet transform filtering uses unbiased esti-mator and the noise according to each layer of wavelet decomposition
Horizontal estimated, which is adjusted, is filtered waveform Y.Whether shelf depreciation judgment module produces the inside GIS using empirical value method
Raw shelf depreciation is judged.In detection system starting, i.e. to waveform signal obtained by extra-high video sensor when GIS is operated normally
Y carries out threshold value T acquisition, wherein T=5max (Y).When there are multiple components in waveform signal Y in detection system discovery detection process
yiWhen > T, illustrate that shelf depreciation has occurred inside GIS.Shelf depreciation locating module is put with hyperboloid intersection method to position part
Electric position, including distance calculation module and space orientation module.Waveform obtained by the built-in extra-high video sensor of distance calculation module note
Signal Y0The wave distortion time be t0, remember waveform signal Y obtained by external uhf sensori, i=1,2,3, wave distortion
Time is t1,t2,t3, then time delay Δ ti=ti-t0.Shelf depreciation point is to built-in sensors and the range difference of three outer sensors
Δsi=c Δ ti, wherein c is the light velocity.
Portion's point of discharge coordinate of setting a trap is (x, y, z), constructs hyperboloid equation:
Wherein, (x0,y0,z0) be built-in sensors coordinate, (xi,yi,zi) be outer sensor coordinate position.
The coordinate of shelf depreciation point is obtained by solving above-mentioned equation.
Signal distortion time of origin is determined using improvement standard deviation method in distance calculation module.
It is poor to become the signal standards that time window calculates in time window to the waveform signal Y of a period of time:
Wherein N is the dimension of signal Y, and i is time window length.Calculate standard deviation gradient Di=Si-Si-1, then distort when occurring
Between
Hyperboloid solution of equations method is carried out using Newton iteration method.It is iterative are as follows:
x(k+1)=x(x)-J-1(x(x))F(x(x))；
WhereinF is ternary Nonlinear System of Equations F (x)=0.
Referring to fig. 2, for the present invention by taking an experiment is with GIS and high-frequency and high-voltage generator as an example, monitoring method includes following step
It is rapid:
1) three extra-high video sensors are arranged in GIS disc insulator outer rim in a manner of 120 ° of interval；Another
Superfrequency sensor arrangement is inside GIS.Sensor is connect by signal wire with oscillograph.Oscilloscope sampling rate, which is arranged, is
Oscillograph is connect by 10GHz with wireless router, is in oscillograph and host computer in the same local area network.
2) host computer is run, oscillograph timing sends Wave data to host computer, and host computer is to the waveform number obtained every time
According to pretreatment and wavelet transform filtering is all normalized.Host computer calculates threshold value T=5max by the Wave data obtained
(Y), it and is at any time updated, after system runs a period of time, locks four threshold value T0,T1,T2,T3。
3) when operating normally inside GIS, host computer is calculated without the wave distortion moment and partial discharge point location.Starting is high
Frequency high pressure generator generates a stable high frequency partial discharge signal inside GIS.
4) host computer passes through the Wave data obtained, and analysis finds that four groups of Wave datas are stabilized greater than respective threshold value
T0,T1,T2,T3Multiple components, determine there are shelf depreciations inside GIS.
5) signal distortion time of origin is determined using improvement standard deviation method in distance calculation module.
It is poor to become the signal standards that time window calculates in time window to waveform signal Y first, in accordance with following formula:
Wherein N is the dimension of signal Y, and i is time window
Degree.Then standard deviation gradient D is calculatedi=Si-Si-1, then distortion time of origin is obtainedObtain four distortion time of origin t0,t1,t2,t3, obtain time delay Δ ti=
ti-t0, calculate range difference Δ si=c Δ ti。
6) space orientation module is according to range difference Δ si=c Δ tiAnd sensor coordinates information solve system of equationFinally obtain partial discharge point coordinate (x, y,
z)。
7) host computer exports partial discharge point coordinate, and sounds an alarm to technical staff.
The above is only presently preferred embodiments of the present invention, rather than to do restriction in any form to the present invention, this
It should be understood that under conditions of not departing from spirit of that invention principle, the present invention can also make several field technical staff
Formal modification or simple replacement, these modifications and replacement also can fall into the patent protection determined by submitted claim
Within the scope of.
Claims (10)
1. a kind of GIS ultrahigh frequency partial discharge monitoring system, it is characterised in that: believe including sensor array element, waveform
Number acquisition and transmission unit, host computer unit；The sensor array element includes being evenly arranged in GIS insulator outer rim
Multiple outer sensors and the reference sensor being arranged in inside GIS；The waveform signal acquisition and transmission unit include
Oscillograph and wireless router, oscillograph is for merge sensor waveform signal and regularly sends Wave data；Described is upper
Machine unit includes the signal processing filter module, shelf depreciation judgment module and shelf depreciation locating module being sequentially connected；Letter
Number processing filter module, which receives, Wave data and to be pre-processed and is filtered, and whether shelf depreciation judgment module produces the inside GIS
Raw shelf depreciation is judged that shelf depreciation locating module is for positioning partial discharge position, including distance calculation module and sky
Between locating module.
2. GIS ultrahigh frequency partial discharge monitoring system according to claim 1, it is characterised in that: the sensing
Device array element includes four extra-high video sensors, and GIS insulator is disc insulator, and three outer sensors are with 120 ° of interval
Mode be arranged in GIS disc insulator outer rim, a reference sensor is arranged in inside GIS.
3. a kind of monitoring method based on GIS ultrahigh frequency partial discharge monitoring system described in claim 2, feature exist
In, comprising the following steps:
1) ambient noise when GIS operation is acquired by multiple extra-high video sensors in sensor array element；
2) oscillograph visualizes ambient noise, obtains waveform Y0,Y1,Y2,Y3And host computer list is sent to by wireless router
Member；
3) the signal processing filter module of host computer unit is to waveform Y0,Y1,Y2,Y3Pretreatment and wavelet transformation filter is normalized
Wave, shelf depreciation judgment module calculate shelf depreciation threshold value T0,T1,T2,T3, and according to threshold value to subsequent Wave data into
Row monitoring；
4) as Wave data Y0,Y1,Y2,Y3In be not greater than threshold value T0,T1,T2,T3Component or when number of components deficiency, repeat
Above-mentioned steps 1) -3)；Then determine that part occurs inside GIS puts when being greater than threshold value there are multiple component amplitudes in one group of Wave data
Electricity；
5) shelf depreciation locating module is to become time window method to Wave data Y0,Y1,Y2,Y3It is analyzed, when calculating wave distortion
Between, and acquire time delay Δ ti=ti-t0, then with Newton iteration method solution hyperboloid equation, partial discharge position is obtained, and issue
Alarm.
4. monitoring method according to claim 3, it is characterised in that: set obtained Wave data as Y, Y is normalized
ProcessingWhereinIndicate the mean value of waveform Y,It indicatesIn maximum value.
5. monitoring method according to claim 3 or 4, it is characterised in that: wavelet transform filtering using unbiased esti-mator and
It is adjusted according to the estimation of the noise level of each layer of wavelet decomposition, waveform Y is filtered.
6. monitoring method according to claim 3, it is characterised in that: host computer unit is calculated by the Wave data obtained
Threshold value T=5max (Y), and be updated at any time, after system runs setting time, lock four threshold value T0,T1,T2,T3。
7. monitoring method according to claim 3, it is characterised in that: distance calculation module remembers waveform obtained by reference sensor
Signal Y0The wave distortion time be t0, note outer sensor gained waveform signal Yi, i=1,2,3, the wave distortion time is
t1,t2,t3, then time delay Δ ti=ti-t0；Shelf depreciation point is to reference sensor and the range difference Δ s of three outer sensorsi=
cΔti, wherein c is the light velocity, and portion's point of discharge coordinate of setting a trap is (x, y, z), and building hyperboloid equation is as follows:
Wherein, (x0,y0,z0) be built-in sensors coordinate, (xi,yi,zi) be outer sensor coordinate position；
Above-mentioned equation, which is solved, by Newton iteration method obtains the coordinate of shelf depreciation point.
8. monitoring method according to claim 3, it is characterised in that: to the waveform signal Y of set period of time to become the time
The signal standards that window method calculates in time window is poor:
Wherein, N is the dimension of signal Y, and i is time window length,
Secondly, calculating standard deviation gradient Di=Si-Si-1；
Finally, obtaining distortion time of origin:
9. monitoring method according to claim 3, which is characterized in that Newton iteration method it is iterative are as follows:
x(k+1)=x(x)-J-1(x(x))F(x(x))
Wherein,F is ternary Nonlinear System of Equations F (x)=0.
10. monitoring method according to claim 3, which is characterized in that the sample rate of oscillograph is selected according to GIS material.
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| CN110568323A (en) * | 2019-07-31 | 2019-12-13 | 深圳供电局有限公司 | Switch cabinet partial discharge detection system and switch cabinet partial discharge detection method |
| CN111487512A (en) * | 2020-06-04 | 2020-08-04 | 云南电网有限责任公司电力科学研究院 | VFTO and partial discharge monitoring system and method for GIS transformer substation |
| CN111929541A (en) * | 2020-07-02 | 2020-11-13 | 广东电网有限责任公司 | Multi-azimuth partial discharge detection method |
| CN112557837A (en) * | 2020-11-13 | 2021-03-26 | 北京电子工程总体研究所 | Real-time detection method for discharge part of high-voltage transmission line |
| CN112611687A (en) * | 2020-11-27 | 2021-04-06 | 国网江苏省电力有限公司检修分公司 | Method and system for accurately positioning metal particles in GIL |
| CN113156284A (en) * | 2021-04-28 | 2021-07-23 | 西安西电开关电气有限公司 | Method and device for processing interference signals of GIS equipment switching action |
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