CN106124939A - Distributed high tension cable partial discharge monitoring and alignment system - Google Patents
Distributed high tension cable partial discharge monitoring and alignment system Download PDFInfo
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- CN106124939A CN106124939A CN201610415790.9A CN201610415790A CN106124939A CN 106124939 A CN106124939 A CN 106124939A CN 201610415790 A CN201610415790 A CN 201610415790A CN 106124939 A CN106124939 A CN 106124939A
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- 238000004891 communication Methods 0.000 claims abstract description 27
- 238000003909 pattern recognition Methods 0.000 claims abstract description 11
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- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 230000001360 synchronised Effects 0.000 claims description 18
- 238000000034 methods Methods 0.000 claims description 11
- 238000004458 analytical methods Methods 0.000 claims description 10
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- 238000001228 spectrum Methods 0.000 abstract 1
- 238000005516 engineering processes Methods 0.000 description 6
- 239000004703 cross-linked polyethylene Substances 0.000 description 2
- 229920003020 cross-linked polyethylene Polymers 0.000 description 2
- 238000002592 echocardiography Methods 0.000 description 2
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- 238000006243 chemical reactions Methods 0.000 description 1
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- 239000003365 glass fibers Substances 0.000 description 1
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Classifications
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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
Description
Technical field
The invention belongs to power cable Partial Discharge Detecting Technology field, be specifically related to the distributed local of high tension cable and put Electricity on-line monitoring and alignment system.
Background technology
At present, crosslinked polyethylene (XLPE) cable has been widely used for national grid, and its insulating properties are directly connected to Electric power netting safe running, due to reasons such as cable processing technology are bad, and cable accessory in-site installation is improper, cable can produce local and put Electricity, affects the insulating properties of cable, and the shelf depreciation of cable, as the aging important parameter of cable insulation, is therefore supervised by shelf depreciation Survey and position particularly important.
Traditional power cable Partial Discharge Detection is that (cable connector or terminal) carries out live detection at single-point, with Determining whether shelf depreciation, the shelf depreciation precision that the method measurement is arrived is poor, and cannot judge electric discharge source.Site Detection Time first Partial discharge detector is arranged in scene, then point-to-point measurement, then the data of measurement are carried out backstage off-line analysis, this It is big to there is on-the-spot electromagnetic interference in the method for kind, and partial discharge quantity is little, is easily flooded by background noise, it is difficult to the shortcomings such as location, this Method is no longer desirable for the Partial Discharge Detection of the power cable that high voltage power cable especially distance is laid.
The method that current most distributed partial discharge monitoring uses is to be disposed with multiple monitoring on a circuit simultaneously Point, general each joint is placed a monitoring point, each monitoring point can be carried out real-time data acquisition, by each during on-line monitoring Data of monitoring point is uploaded to remote server and carries out strange land storage and analyze in real time.
Above method can detect the local discharge signal of cable, but there is certain problem simultaneously:
(1) cable local discharge on-line monitoring system, equipment volume is big, and scene needs to lay substantial amounts of optical fiber cable, prison Survey cost is high；Distribution cable partial discharge monitoring each unit needs synchronous acquisition, in order to follow-up complete partial discharge location.
(2) cable local discharge on-line monitoring system, relies on the power current sensor acquisition power frequency component installed to trigger Triple channel synchronous acquisition, system acquisition 20ms power frequency period duration, repeatedly continuous acquisition data volume is relatively big, data analysis and location Relatively slow, the phase information of shelf depreciation is calculated by power frequency component, it is impossible to detect the most off-duty cable run.
Summary of the invention
For the problem of existing distribution cable partial discharge monitoring system, present invention ground purpose is to propose A kind of distributed high tension cable partial discharge monitoring and alignment system, it is possible to circuit multiple spot is carried out high speed acquisition, can root Need according to site environment, select Monitoring Data GPRS or fiber-optic transfer to become to server, the amplitude attenuation according to gathering signal Gesture, finds doubtful electric discharge general location, then the monitoring point of doubtful electric discharge is carried out high-precise synchronization collection, thus carry out local and put Electrodiagnosis and location；Outside power frequency component or internal power frequency component can be taked according to field condition, the shelf depreciation gathered is entered Line phase mates.
To achieve these goals, technical scheme is as follows:
A kind of distributed high tension cable partial discharge monitoring and alignment system, including signal pre-processing module, locally Electric discharge acquisition module, data signal processing module, communication module, power module, data analysis module；Signal pre-processing module is even Connect external sensor, after the signal that sensor is coupled by pretreatment module carries out digital filtering and amplifies conditioning, by shelf depreciation Signal after acquisition module collection conditioning, then data are transmitted in the analysis of data signal processing module and process, calculate local and put Electric parameter and PRPD spectrogram information, and by communication module, local discharge signal measurement result is sent to data analysis module；
Described signal pre-processing module, carries out bandpass filtering and amplification to the signal of sensor coupling, and its outfan is made Input for partial discharge collection module；
Described partial discharge collection module, including four-way synchronous acquisition, the output of internal power frequency component and internal and Outside power frequency component handoff functionality, with partial discharge pulse's signal as trigger source, synchronous acquisition is believed through pretreated three Number and power frequency component, acquisition rate is 250MS/s, gather duration 20us, after continuous acquisition set point number, then by data one Secondary property returns, it is ensured that twice acquisition time interval is minimum, up to a few us magnitudes；
Described data signal processing module, to gather local discharge signal and power frequency component process and analyze, Calculate the discharge capacity of shelf depreciation, PRPD, PRPS spectrogram, calculate the statistical nature of waveform further, data message is deposited Store up or be uploaded to data analysis module by described communication module, during shelf depreciation location, by synchronous acquisition waveform transfer extremely Data analysis module differentiates；
Described communication module includes GPRS radio communication and fiber optic communication two ways, can be in data signal processing module In be configured, by shelf depreciation information transmit to data analysis module, it is possible to each monitoring point is carried out synchronous acquisition parameter and sets Fixed；
Described power module provides power supply for the above module；Use chargeable storage, output 5V and 12V electricity Pressure, it is ensured that in system, each module is properly functioning.
Described data analysis module, real-time reception also shows the shelf depreciation discharge capacity of each monitoring point, PRPD spectrogram etc. Statistical nature, by contrasting the attenuation degree of each monitoring point discharge capacity, finds doubtful shelf depreciation general location, and by time long Between monitoring check trend, further determine whether occur shelf depreciation.Carry out monitoring point, discharge source two ends synchronizing triggering collection, Collect monitoring point, two ends waveform, shelf depreciation is positioned；PD Pattern Recognition module in data analysis module can Local discharge signal is carried out type identification, to differentiate the extent of injury of shelf depreciation.
Described PD Pattern Recognition module, is that the wave character carried out by described data signal processing module divides The characteristic statistics of analysis and described data analysis module is analysis integrated to be drawn；Described data signal processing module is to collection Waveform carries out WAVELET PACKET DECOMPOSITION noise reduction, calculates Energy-Entropy respectively, and be normalized in the frequency range decomposed, then with Sample Storehouse The Energy-Entropy distribution of middle different electric discharge types compare, draw electric discharge classification, simultaneously by the discharge capacity of shelf depreciation, electric discharge Spectrogram, statistical nature includes that the parameters such as degree of skewness, standout, cross-correlation coefficient, discharge capacity factor and phase place degree of asymmetry pass through Described communication module transmission to the most described data analysis module, data analysis module according to the statistical nature of shelf depreciation at sample Finding out the electric discharge type of coupling in this storehouse, the electric discharge type drawn with described data signal processing module carries out Integrated comparative.
The invention have the benefit that
(1) present system uses fast frame technology, and partial discharge pulse's fragment is defined as a frame, puts with local Electric impulse signal is as trigger source, and only acquisition pulse signal Short Time Domain waveform, continuous acquisition is disposable by waveform after setting frame number Display, rapid data frame technique can realize the continuous trigger of partial discharge pulse, high speed acquisition, and low capacity storage and process.
(2) by being respectively compared the shelf depreciation dampening information of each monitoring point, it is determined that partial discharge position, and can be by setting Fixed each monitoring point synchronous acquisition parameter, can realize the high-precise synchronization collection of each monitoring point, thus position shelf depreciation.
(3) according to statistical property and the wave character vector of shelf depreciation, in conjunction with network neural algorithm and substantial amounts of sample Storehouse learns, and improves the pattern recognition accuracy of shelf depreciation.
Accompanying drawing explanation
Fig. 1 is the structural representation of the present invention.
Fig. 2 is the functional block diagram of the high tension cable distributed partial discharge monitoring system of the enforcement of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings and specific embodiment the present invention is further described in more detail.
With reference to Fig. 1, a kind of distributed high tension cable partial discharge monitoring and alignment system, it is characterised in that its bag Include signal pre-processing module, partial discharge collection module, data signal processing module, communication module, power module, data analysis Module；
Described signal pre-processing module, carries out bandpass filtering and amplification to the signal of sensor coupling, and its outfan is made Input for partial discharge collection module；
Described partial discharge collection module, including four-way synchronous acquisition, the output of internal power frequency component and internal and Outside power frequency component handoff functionality, with partial discharge pulse's signal as trigger source, synchronous acquisition is believed through pretreated three Number and power frequency component, acquisition rate is 250MS/s, gather duration 20us, after continuous acquisition set point number, then by data one Secondary property returns, it is ensured that twice acquisition time interval is minimum, up to a few us magnitudes；
Described data signal processing module, to gather local discharge signal and power frequency component process and analyze, Calculate the discharge capacity of shelf depreciation, PRPD, PRPS spectrogram, calculate the statistical nature of waveform further, data message is deposited Store up or be uploaded to data analysis module by described communication module, during shelf depreciation location, by synchronous acquisition waveform transfer extremely Data analysis module differentiates；
Described communication module includes GPRS radio communication and fiber optic communication two ways, can be in data signal processing module In be configured, by shelf depreciation information transmit to data analysis module, it is possible to each monitoring point is carried out synchronous acquisition parameter and sets Fixed；
Described power module provides power supply for the above module；Use chargeable storage, output 5V and 12V electricity Pressure, it is ensured that in system, each module is properly functioning.
Described data analysis module, real-time reception also shows the shelf depreciation discharge capacity of each monitoring point, PRPD spectrogram etc. Statistical nature, by contrasting the attenuation degree of each monitoring point discharge capacity, finds doubtful shelf depreciation general location, and by time long Between monitoring check trend, further determine whether occur shelf depreciation.Carry out monitoring point, discharge source two ends synchronizing triggering collection, Collect monitoring point, two ends waveform, shelf depreciation is positioned.PD Pattern Recognition module in data analysis module can Local discharge signal is carried out type identification, to differentiate the extent of injury of shelf depreciation.
Described PD Pattern Recognition module, is that the wave character carried out by described data signal processing module divides The characteristic statistics of analysis and described data analysis module is analysis integrated to be drawn.Described data signal processing module is to collection Waveform carries out WAVELET PACKET DECOMPOSITION noise reduction, calculates Energy-Entropy respectively, and be normalized in the frequency range decomposed, then with Sample Storehouse The Energy-Entropy distribution of middle different electric discharge types compare, draw electric discharge classification, simultaneously by the discharge capacity of shelf depreciation, electric discharge Spectrogram, statistical nature includes that the parameters such as degree of skewness, standout, cross-correlation coefficient, discharge capacity factor and phase place degree of asymmetry pass through Described communication module transmission to the most described data analysis module, data analysis module according to the statistical nature of shelf depreciation at sample Finding out the electric discharge type of coupling in this storehouse, the electric discharge type drawn with described data signal processing module carries out Integrated comparative.
Embodiment
With reference to Fig. 2, high-frequency wideband electromagnetic transducer is socketed in threephase cable adnexa earth lead or cross connection grounding line On, 50Hz power-frequency voltage sensor is installed on the body of adnexa for coupling power frequency current signal；Sensor is with the present invention's Signal pre-processing module connects, after the signal that sensor is coupled by pretreatment module carries out digital filtering and amplifies conditioning, by office Signal after portion's electric discharge acquisition module collection conditioning, then data are transmitted in the analysis of data signal processing module and process, calculate The spectrogram information such as shelf depreciation parameter and PRPD, and by communication module, the transmission of local discharge signal measurement result is divided to data Analysis module.
Data analysis module receives local discharge parameters information, is arranged by the Partial Discharge Data of each monitoring point and compares Relatively, by the spectrogram of the statistics decay of the peak value of shelf depreciation and close shelf depreciation is compared, it is judged that local discharge signal is big Body position, then arranges the monitoring point at two ends near discharge signal and carries out synchronous acquisition, reaches monitoring by calculating shelf depreciation The time delay difference of point, accurate shelf depreciation positions, and compares with Sample Storehouse according to the statistical nature vector of shelf depreciation simultaneously Analyze, draw electric discharge type.
Below the parts in present system are illustrated one by one:
1. described signal pre-processing module, carries out hardware filtering to sensor coupled signal and signal amplifies, to improve Detection sensitivity, low-pass filtering is at the interference signal of more than 30MHz, and program control signal has 1,2,5,10,20,50,100,200 and puts Big multiple, by signal condition to partial discharge collection module optimal input range.
2. described partial discharge collection module, it is achieved four-way synchronous high-speed acquisition function, triple channel correspondence respectively passes The threephase cable signal of sensor coupling, fourth lane gathers 50Hz power frequency sensor signal.Acquisition rate is 250MS/s, gathers Duration 20us, analog bandwidth 60MHz, resolution is 14.Use fast frame technology, by partial discharge pulse's fragment definition Being a frame, using partial discharge pulse's signal as trigger source, only acquisition pulse signal Short Time Domain waveform, continuous acquisition sets frame number After, disposably will be stored in capture card ROM data and return, it is ensured that twice acquisition time interval is minimum, up to a few us magnitudes, quickly Frame technology can realize the continuous trigger of partial discharge pulse, high speed acquisition, and low capacity storage and process.Simultaneously can be according to existing In field needs to select, power frequency component exports, i.e. the 50Hz power frequency component of shelf depreciation module outputting standard is connected to fourth lane, Maybe by measuring 50Hz power frequency sensor coupled signal output same frequency and the standard normal signal of amplitude, thus coupling can be replaced Power frequency component.
3. described data signal processing module, in conjunction with built-in industrial control machine and virtual instrument technique, uses Labview soft Part compilation operation interface, data analysis and display, calculate the spectrogram of shelf depreciation, discharge capacity and statistical nature information, including partially The parameters etc. such as gradient, standout, cross-correlation coefficient, discharge capacity factor and phase place degree of asymmetry.
4. described communication module, including GPRS radio communication and fiber optic communication two ways, can be according to on-the-spot reality Data signal processing module is configured, shelf depreciation information is transferred to data analysis module, it is possible to each monitoring is clicked on Row synchronous acquisition parameter sets.
5. described power module, uses rechargeable battery, and normally work offer burning voltage for modules.
Described PD Pattern Recognition module, the distributed high tension cable shelf depreciation location of the present embodiment, its bag Include following steps:
During the most each monitoring point real time on-line monitoring, data signal processing module analyze and process collection signal, count respectively Calculate the spectrogram information such as shelf depreciation parameter and PRPD of each monitoring point, then by communication module, local discharge signal is measured knot Fruit sends to data analysis module.
2. data analysis module receive local discharge parameters information, the Partial Discharge Data of each monitoring point is carried out arrange and Relatively, by contrasting peak value statistics decay and the spectrogram of close shelf depreciation of the shelf depreciation of each monitoring point, it is judged that locally Discharge signal is generally located at wherein between certain two monitoring point.
3. data analysis module synchronizes triggering collection outside arranging two monitoring points, reaches monitoring point by calculating shelf depreciation Time delay difference, can be accurately positioned shelf depreciation.
Described PD Pattern Recognition module, the distributed high tension cable PD Pattern Recognition of the present embodiment, It comprises the following steps:
1. local discharge signal is carried out wavelet-packet noise reduction decomposition by data signal processing module, selects db3 small echo to carry out little Wave conversion, utilizes db3 small echo that time-domain signal carries out 3 layers of WAVELET PACKET DECOMPOSITION, obtains 8 frequency band feature signals, calculate each frequency band Local energy entropy；
2. the shelf depreciation Energy-Entropy of each frequency band is normalized, and the energy of the various classification shelf depreciations with Sample Storehouse Amount entropy carries out classification and compares, and draws shelf depreciation classification；
Calculate the statistical property of Partial Discharge, including degree of skewness, standout, cross-correlation coefficient, discharge capacity the most simultaneously The parameters etc. such as factor and phase place degree of asymmetry.Sent to data analysis module by communication module；
4. the statistical property of the Partial Discharge received and statistical sample storehouse are carried out classification ratio by data analysis module Relatively, draw shelf depreciation classification, be complementary to one another by data signal processing module and two kinds of discriminant analysiss of data analysis module, combine Conjunction draws electric discharge conclusion.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106682651A (en) * | 2017-02-10 | 2017-05-17 | 哈尔滨工业大学 | Monitoring method for cable insulation leather damage based on neural network |
| CN106771933A (en) * | 2017-01-23 | 2017-05-31 | 天津大学 | Power cable shelf depreciation high frequency electric monitoring system based on wireless network |
| CN107505543A (en) * | 2017-08-11 | 2017-12-22 | 河南天通电力有限公司 | Based on mesolow cable local discharge on-line monitoring system |
| CN108019322A (en) * | 2017-12-14 | 2018-05-11 | 海安常州大学高新技术研发中心 | A kind of wind turbine cabin acceleration failure prediction system and its data managing method based on thin cloud |
| CN108072814A (en) * | 2017-11-23 | 2018-05-25 | 国网北京市电力公司 | cable monitoring method and system, storage medium, processor |
| CN108693448A (en) * | 2018-03-28 | 2018-10-23 | 西安博源电气有限公司 | One kind being applied to power equipment PD Pattern Recognition system |
| CN108872802A (en) * | 2017-05-12 | 2018-11-23 | 中国石油化工股份有限公司 | A kind of cable local discharge distributed monitoring system |
| CN109799434A (en) * | 2019-03-01 | 2019-05-24 | 深圳供电局有限公司 | PD Pattern Recognition system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106771933A (en) * | 2017-01-23 | 2017-05-31 | 天津大学 | Power cable shelf depreciation high frequency electric monitoring system based on wireless network |
| CN106682651A (en) * | 2017-02-10 | 2017-05-17 | 哈尔滨工业大学 | Monitoring method for cable insulation leather damage based on neural network |
| CN108872802A (en) * | 2017-05-12 | 2018-11-23 | 中国石油化工股份有限公司 | A kind of cable local discharge distributed monitoring system |
| CN107505543A (en) * | 2017-08-11 | 2017-12-22 | 河南天通电力有限公司 | Based on mesolow cable local discharge on-line monitoring system |
| CN108072814A (en) * | 2017-11-23 | 2018-05-25 | 国网北京市电力公司 | cable monitoring method and system, storage medium, processor |
| CN108019322A (en) * | 2017-12-14 | 2018-05-11 | 海安常州大学高新技术研发中心 | A kind of wind turbine cabin acceleration failure prediction system and its data managing method based on thin cloud |
| CN108693448A (en) * | 2018-03-28 | 2018-10-23 | 西安博源电气有限公司 | One kind being applied to power equipment PD Pattern Recognition system |
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Application publication date: 20161116 |