CN106501690B - A kind of XLPE power cable partial discharge diagnostic method and system - Google Patents

A kind of XLPE power cable partial discharge diagnostic method and system Download PDF

Info

Publication number
CN106501690B
CN106501690B CN201610961336.3A CN201610961336A CN106501690B CN 106501690 B CN106501690 B CN 106501690B CN 201610961336 A CN201610961336 A CN 201610961336A CN 106501690 B CN106501690 B CN 106501690B
Authority
CN
China
Prior art keywords
signal
phase
ultrasonic wave
local discharge
discharge signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610961336.3A
Other languages
Chinese (zh)
Other versions
CN106501690A (en
Inventor
焦明航
欧阳群
焦明程
刘树泽
张琳
高阳
宋丽
张诗洋
黎斌
贾煜晗
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Shenyang Institute of Engineering
Original Assignee
State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Shenyang Institute of Engineering
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Liaoning Electric Power Co Ltd, Shenyang Institute of Engineering filed Critical State Grid Corp of China SGCC
Priority to CN201610961336.3A priority Critical patent/CN106501690B/en
Publication of CN106501690A publication Critical patent/CN106501690A/en
Application granted granted Critical
Publication of CN106501690B publication Critical patent/CN106501690B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing 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
    • G01R31/1209Testing 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 using acoustic measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing 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
    • G01R31/1227Testing 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
    • G01R31/1263Testing 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
    • G01R31/1272Testing 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 invention belongs to electrical equipment fault detections and diagnostic techniques field, it is particularly a kind of XLPE power cable partial discharge diagnostic method and system, this method comprises: the ultrasonic signal and ultrahigh frequency partial discharge signal of the low frequency that acquisition power cable shelf depreciation generates, the time delay for obtaining ultrasonic signal, obtains shelf depreciation point at a distance from Partial Discharge Detection point;Determine the phase window for having shelf depreciation;By the phase opening relationships of the ultrasonic signal amplitude of phase window and the power-frequency voltage applied;The phase information of ultrasonic shelf depreciation and amplitude information are depicted as phase spectrogram;Statistical nature calculating is carried out, 27 Statistical Operators of characterization Characteristics of Partial Discharge are extracted.The ultrahigh frequency partial discharge signal that invention is generated using shelf depreciation is combined as time reference, and with the ultrasonic local discharge signal of low frequency, obtains the time delay of ultrasonic signal, the final identification for realizing local discharge signal.

Description

A kind of XLPE power cable partial discharge diagnostic method and system
Technical field
The invention belongs to electrical equipment fault detections and diagnostic techniques field, are particularly a kind of XLPE power cable Partial discharge diagnostic method and system.
Background technique
Cross-inked polyethylene power cable (Cross Linked Polyethylene, XLPE) is applied due to its light weight, installation If being easy and having many advantages, such as that good electrical and heat resistance is widely used in urban distribution network.However, in actual motion XLPE power cable due to being influenced by mounting process, laying environment, external force destructions, the factors such as service condition, cause insulation scarce It falls into or even dielectric breakdown accident constantly occurs, wherein with the ratio of intermediate joint of electric cable and terminals attachment insulation fault It is more.
Currently, the country is an important means for guaranteeing XLPE power cable reliability service using preventive trial.However, The disadvantages of state of insulation of preventive trial when long, power failure test result not can accurately reflect operation there are the test period;In addition, Power cable insulation decline is the process gradually developed, early stage occurs in failure, due to the office of power cable insulation system Discharge signal caused by portion's defect is very faint, and traditional preventive trial project is difficult to detect abnormal shelf depreciation letter Number, on the other hand, the outstanding problem that power cable scene Partial Discharge Detection faces is interference, if interference letter can not be rejected Number, then power cable scene Partial Discharge Detection can not carry out substantially, therefore, single conventional test methods have been unable to satisfy The requirement of urban power distribution network safe operation.
Shelf depreciation (Partial Discharge, PD) is the main forms of power cable insulation failure early stage, it It is both one of the main reason for causing insulation degradation and the main feature amount of characterization insulation status.Operating experience and research are equal Show: power cable partial discharge quantity is insulated from that state is closely related, and the variation of partial discharge quantity implies power cable There is certain insulation defects to a certain extent for insulation system, are one of the effective ways of quantitative analysis insulation degradation degree. Therefore, the international electric power standards such as IEC, IEEE and CIGRE are consistent with mechanism of association recommends partial discharge test as XLPE electricity The best approach of power cable insulation status evaluation.
When shelf depreciation occurs for power cable, pulse current, electromagnetic wave, sound, light, heat and chemistry can be supervened and become Change etc. physical phenomenons, the Partial Discharge Detection and diagnostic method thus developed have pulse current method, superfrequency method, ultrasonic method, Light detection method and chemical measure etc..Ultrasonic method is that live interference signal is difficult to inhibit, and superfrequency method is using a sensor Partial discharge source can not be positioned.
Summary of the invention
Technical problem to be solved by the present invention lies in a kind of XLPE power cable partial discharge diagnostic method is provided, realize The identification of local discharge signal, the rejecting of interference signal, the positioning and diagnosis of insulation defect.
The invention is realized in this way
A kind of XLPE power cable partial discharge diagnostic method, this method comprises:
Step 1, the ultrasonic signal and ultrahigh frequency partial discharge signal for the low frequency that acquisition power cable shelf depreciation generates, Using ultrahigh frequency partial discharge signal as time reference, the time difference with the ultrasonic signal of low frequency is calculated, obtains ultrasonic signal Time delay obtain shelf depreciation point and part by the time difference of delay multiplied by the spread speed of ultrasonic local discharge signal The distance of discharge examination point;
Step 2, ultrasonic signal is subjected to a point phase window, passes through the maximum amplitude absolute value of ultrasonic signal in phase window Compared with the discharge threshold of setting, determining has the phase window of shelf depreciation;
Step 3, by ultrasonic signal carry out waveform adjustment calculate after, by the ultrasonic signal amplitude of phase window with applied Power-frequency voltage phase opening relationships;
Step 4, the phase information of ultrasonic shelf depreciation and amplitude information are depicted as electric discharge amplitude phase spectrogram, maximum is put Electric amplitude phase spectrogram, averaged discharge amplitude phase spectrogram and discharge time phase spectrogram;
Step 5, the spectrogram of four kinds of ultrasonic local discharge signals in step 4 is subjected to statistical nature calculating, extracts characterization 27 Statistical Operators of Characteristics of Partial Discharge.
Further, step 2 includes: the power-frequency voltage signal that power cable application is measured using divider, and one is adopted The data of power-frequency voltage signal and ultrasonic signal are each separated into N number of phase window in 1 power frequency period of collection, and each phase window is M ultrasonic signal and M power-frequency voltage signal, each phase window corresponds to a phase of power-frequency voltage, to every 1 phase M ultrasonic signal in window seeks maximum amplitude, by the absolute value of maximum amplitude compared with the discharge threshold of setting, determines this phase Whether there is shelf depreciation in the window of position, records the maximum amplitude of the ultrasonic signal, and using the maximum amplitude as the phase window Ultrasonic signal amplitude.
Further, step 3, which calculates ultrasonic signal progress waveform adjustment, includes, to M work in every 1 phase window Frequency voltage signal is averaged, by the ultrasonic signal amplitude of phase window and the phase opening relationships of power-frequency voltage that is applied, The phase that 1~M phase window is corresponded to 0 °~360 ° makes the ultrasonic signal amplitude of i-th of phase window correspond to sinusoidal waveform The phase of i*360 °/M.
Further, by the phase opening relationships packet of the ultrasonic signal amplitude of phase window and the power-frequency voltage applied It includes: the voltage signal of rising edge zero crossing in 1 complete power frequency period being taken out, by voltage signal rising edge zero crossing window position Ultrasonic signal after setting is toward Forward, backward by the ultrasonic signal before voltage signal rising edge zero crossing the window's position It moves, obtain the ultrasonic signal amplitude of phase window and applies the relationship of alive phase.
Further, feature includes: mean μ, standard deviation sigma, degree of bias Sk, kurtosis KuAnd cross-correlation coefficient cc.
Further, the parameter of use are as follows: sample rate 20MS/s, acquisition time are 1 power frequency period, and sampling length is The every acquisition of 400000 points, i.e. capture card 1 time, just obtains 400000 data in 1 complete power frequency period time.
A kind of XLPE power cable partial discharge diagnosis system, the system include:
Ultrasonic sensor and superfrequency integrated sensor are respectively used to the low frequency that acquisition power cable shelf depreciation generates Ultrasonic signal and ultrahigh frequency partial discharge signal;
Signal amplification and conditioning unit, amplify conditioning to ultrasonic signal and ultrahigh frequency partial discharge signal;
Capture card realizes the real-time of local discharge signal by two channel reception ultrasonic signals and ultrahigh-frequency signal Acquisition;
Data processing module, ultrasonic signal and superfrequency part to the low frequency of acquisition power cable shelf depreciation generation Discharge signal calculates the time difference with the ultrasonic signal of low frequency using ultrahigh frequency partial discharge signal as time reference, obtains The time delay of ultrasonic signal obtains shelf depreciation by the time difference of delay multiplied by the spread speed of ultrasonic local discharge signal Point is at a distance from Partial Discharge Detection point;
Ultrasonic signal is subjected to a point phase window, maximum amplitude absolute value and setting by ultrasonic signal in phase window Discharge threshold compare, determining has the phase window of shelf depreciation;
After ultrasonic signal is carried out waveform adjustment calculating, by the ultrasonic signal amplitude of phase window and the power frequency applied The phase opening relationships of voltage;
The phase information of ultrasonic shelf depreciation and amplitude information are depicted as electric discharge amplitude phase spectrum by spectrogram drafting module Figure, maximum electric discharge amplitude phase spectrogram, averaged discharge amplitude phase spectrogram and discharge time phase spectrogram;
The spectrogram of four kinds of ultrasonic local discharge signals is carried out statistical nature calculating, mentioned by discharge characteristic parametric statistics module Take 27 Statistical Operators of characterization Characteristics of Partial Discharge;
Display module shows the spectrogram of four kinds of ultrasonic local discharge signals.
Further, signal amplification and conditioning unit include and the sequentially connected preamplifier of ultrasonic sensor, band logical Filter and buffer circuit, and with the sequentially connected low-noise amplifier of extra-high video sensor, high-pass filter and wave detector; Wherein, the output of preamplifier is connected with the input of bandpass filter, bandpass filter will with shelf depreciation ultrasonic signal without Various ambient noises, mechanical vibration noise for closing etc. filter out, and the output of bandpass filter connects the input of buffer circuit, increase output Electric current.
Further, the input that the output of extra-high video sensor connects low noise amplifier is followed by the input of high-pass filter, High-pass filter filters out the low-frequency interference signal unrelated with partial-discharge ultrahigh-frequency signal, and the output of high-pass filter connects detection Super high band local discharge signal is moved to low-frequency range by the input of device, wave detector.
Further, capture card sample rate is 20MS/s, and acquisition time is 1 power frequency period, sampling length 400000 A, i.e. the every acquisition of capture card 1 time just obtains 400000 data in 1 complete power frequency period time.
Compared with prior art, the present invention beneficial effect is: the present invention is locally put with the superfrequency that shelf depreciation generates Electric signal is time reference, and is combined with the ultrasonic local discharge signal of low frequency, obtains the time delay of ultrasonic signal, finally Realize the identification of local discharge signal, the rejecting of interference signal, the method for positioning and the diagnosis of insulation defect.Compared to other inspections Survey method, ultrasonic method and superfrequency method integrated detection system are non-intrusion type, more satisfactory in-situ check and test method, by outside Electromagnetic noise influence is smaller, and is easily achieved live detection.Therefore, the insulation shape of power cable can be judged in time and accurately State finds some early stage latency defects early, avoids the generation of power cable breakdown accident.
Detailed description of the invention
Fig. 1 is system module block diagram of the invention;
Fig. 2 is the circuit diagram of preamplifier;
Fig. 3 is the PRPD spectrogram of ultrasonic local discharge signal;
Fig. 4 is ultrasonic local discharge signalSpectrogram, (a) be 0~180 ° of phase, (b) for 180 ° of phase~ 360°;
Fig. 5 is ultrasonic local discharge signalSpectrogram, (a) be 0~180 ° of phase, (b) for 180 ° of phase~ 360°;
Fig. 6 is ultrasonic local discharge signalSpectrogram, (a) be 0~180 ° of phase, (b) for 180 ° of phase~ 360°。
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to Limit the present invention.
Referring to Fig. 1, system of the invention is amplified by ultrasonic sensor and extra-high video sensor (300MHz-3GHz), signal It is formed with conditioning unit, capture card, software analysis system and display device.Wherein, signal amplification and conditioning unit include ultrasound The signal of sensor amplifies and conditioning unit, the signal amplification of extra-high video sensor and conditioning unit, wherein ultrasonic sensor Signal amplification and conditioning unit include preamplifier, bandpass filter and buffer circuit three parts, the letter of extra-high video sensor Number amplification and conditioning unit include low-noise amplifier, high-pass filter and wave detector three parts;Software analysis system is by data Four acquisition control module, data processing module, spectrogram drafting module and discharge characteristic parametric statistics module module compositions;In figure Ultrasonic sensor uses resonant mode high sensitivity ultrasonic sensor;Extra-high video sensor uses capacitor disk-type acyclic antenna; Preamplifier is made of low noise operational amplifier;Bandpass filter is made of low distortion, high speed dual operational amplifier;Buffering Amplifier is made of a buffer amplifier;Low noise amplifier is made of the triode of low noise;Wave detector is examined with diode Wave circuit composition;Magnificent PCI-9810 is ground in capture card selection;Software analysis system is developed jointly using LabVIEW language and C language It forms.
When on-site test, ultrasonic sensor, extra-high video sensor are affixed on detected XLPE power cable, when electric power electricity The insulation system existing defects or hidden danger of cable, and partial discharge phenomenon occurs under normal working voltage, at this point, ultrasonic sensor The ultrasound and ultrahigh-frequency signal generated with the electric discharge of portion of extra-high video sensor office of acceptance.
Ultrasonic sensor exports the input for connecing preamplifier.Ultrasonic sensor output signal is fainter, and maximum amplitude is only For 5mV or so, site environment noise and interference are larger, will lead to shelf depreciation ultrasonic signal and are submerged in noise;In addition, super The output impedance of sonic transducer is high impedance, and therefore, preamplifier is mainly by input stage amplifier section D1, bandpass filtering part D2 and buffer amplifier D3 is constituted, fixed gain 40dB, and structural schematic diagram is as shown in Fig. 2, another aspect, preposition amplification Integrated amplifier used in device has low noise and high input impedance.The main function of preamplifier is: 1. amplification ultrasound The ultra-weak electronic signal of sensor output;2. the high output impedance of ultrasonic sensor is transformed to low output impedance.
The output of preamplifier is connected with the input of bandpass filter.Bandpass filter mainly will be with shelf depreciation ultrasound The unrelated various ambient noises of signal, mechanical vibration noise etc. filter out.
The output of bandpass filter connects the input of buffer circuit.Purpose is to increase output electric current, improves load capacity, subtracts Influence of few load to signal source, increases anti-interference ability.
The output of extra-high video sensor connects the input of low noise amplifier.Extra-high video sensor output signal is very faint, Belong to V magnitude, site environment noise and interference are larger, will lead to partial-discharge ultrahigh-frequency signal and are submerged in noise.
The output of low noise amplifier connects the input of high-pass filter.The effect of high-pass filter is mainly that handle is put with part The unrelated low-frequency interference signal of electric ultrahigh-frequency signal filters out.
The output of high-pass filter connects the input of wave detector.Wave detector is mainly super high band local discharge signal (300MHz-3GHz) is moved to low-frequency range (DC-10MHz), the sample rate of such data acquisition unit there is no need to too high, for example, The capture card of 100MS/s sample rate is just able to satisfy requirement.
Shelf depreciation ultrasonic signal and ultrahigh-frequency signal through signal amplification and conditioning unit are respectively connected to 2 of capture card The real-time acquisition of local discharge signal is realized in channel.
Data collecting card is controlled by the data acquisition module of local discharge signal software analysis system, it is carried out initially Change setting, acquires signal, and place the data into queue;Data processing module carries out collected local discharge signal as follows Processing:
(1) software filtering and Wavelet Denoising Method are carried out;
(2) time difference for calculating ultrasonic signal and ultrahigh-frequency signal, substantially fault location is carried out.
Specifically: subtract each other at the time of corresponding with ultrahigh-frequency signal peak value at the time of corresponding to ultrasonic signal peak value, obtains The time difference of ultrasonic signal and ultrahigh-frequency signal, this time difference put multiplied by the spread speed of ultrasonic signal, exactly part Electricity point is at a distance from Partial Discharge Detection point.
(3) ultrasound data is subjected to point phase window and waveform adjustment calculates;
Point phase window mainly provides data for the drafting of shelf depreciation spectrogram, and process is: capture card sample rate is 20MS/ S, acquisition time are 1 power frequency period, and sampling length is 400000 points, i.e. the every acquisition of capture card 1 time, complete with regard to obtaining 1 400000 data in the power frequency period time.Capture card acquires 2 road signals: the 1st tunnel is the work of the application measured by divider Frequency voltage signal, the 2nd tunnel are the ultrasonic wave letters for being obtained by ultrasonic sensor and being passed through preamplifier and coaxial cable and transmit Number.The data of 2 road signals in this 1 complete power frequency period are each separated into 100 phase windows, then each phase window just has 4000 points, each phase window correspond to a phase of power-frequency voltage.
Maximum amplitude is asked to 4000 ultrasonic signals in every 1 phase window, if the absolute value of maximum amplitude is greater than Set discharge threshold, then illustrate there is shelf depreciation in this phase window, record at this time the ultrasonic signal most substantially Value, and using this maximum amplitude as the ultrasonic signal amplitude of the phase window.
4000 voltage signals in every 1 phase window are averaged and recorded.
Waveform adjusts primarily to making the ultrasonic signal amplitude and the phase of the power-frequency voltage applied of 100 phase windows Position opening relationships, it may be assumed that the phase for making 1~100 phase window correspond to 0 °~360 °, the ultrasonic signal for making i-th of phase window Amplitude corresponds to the phase of i*360 ° of sinusoidal waveform/100.This is because the voltage in 1 complete power frequency period of capture card acquisition The starting point of signal might not correspond to the rising edge zero crossing of sinusoidal waveform, so needing to make adjustment.
Because the voltage signal in 1 complete power frequency period necessarily has rising edge zero crossing, it is possible to be sought out Come.Voltage signal rising edge zero crossing the window's position is recorded.
By the ultrasonic signal after voltage signal rising edge zero crossing the window's position toward Forward, by voltage signal rising edge Ultrasonic signal before zero crossing the window's position can be obtained by the ultrasonic signal width of 100 phase windows toward moving back in this way Value and the relationship for applying alive phase.
(4) phase information of ultrasonic shelf depreciation and amplitude information are depicted as electric discharge amplitude phase spectrum by spectrogram drafting module Scheme (PRPD spectrogram) (Fig. 3), maximum electric discharge amplitude phase spectrogram (Spectrogram) (Fig. 4 (a) and 4 (b)), averaged discharge width Value phase spectrogram (Spectrogram) (Fig. 5 (a) and 5 (b)) and discharge time phase spectrogram (Spectrogram) (Fig. 6), these Typical spectrogram is as shown in figures 3 to 6.
(5) spectrogram of above-mentioned four kinds ultrasonic local discharge signals is subjected to statistical nature calculating, extracts characterization shelf depreciation 27 Statistical Operators of characteristic.
Discharge spectrum shape corresponding to different shelf depreciation types is different, the letter provided using various discharge spectrums Breath, can distinguish various types of electric discharge.But it is this difference it is only qualitative, it is necessary to by naked eyes and it is abundant Experience can just distinguish.Therefore, some useful statistical parameters are obtained from various discharge spectrums with regard to necessary.Characterization office The statistical parameter of portion's electric discharge ultrasonic signal be it is for statistical analysis to Processing of Partial Discharge Ultrasonic Signals distribution parameter, with quantitative Parameter come describe certain distribution shape feature.The statistical parameter for characterizing Processing of Partial Discharge Ultrasonic Signals includes mean μ, standard deviation σ, degree of bias Sk, kurtosis Ku, cross-correlation coefficient cc etc., shown in the calculation formula of these statistical parameters such as formula (1)-(5).Utilize this A little statistical parameters can identify electric discharge type.
A) mean μ
xi-- i-th of sample;
f(xi)──xiThe probability of appearance;
The number of N -- half period (positive half cycle or negative half period) interior phase window;
B) standard deviation sigma
C) degree of bias Sk
Sk=0 indicates that spectrogram is full symmetric, Sk< 0 indicates to be biased to right side, Sk> 0 indicates to be biased to left side;
D) kurtosis Ku
Ku=0 expression projecting degree meets normal distribution, Ku< 0 indicates to mitigate than normal distribution peak, Ku> 0 is indicating ratio just State distribution of peaks is steeper;
E) cross-correlation coefficient cc
In formula:-- i-th of sample of positive and negative half cycle;
Cc=1 indicates that 100% positive and negative half cycle symmetrical shape, cc=0 indicate completely asymmetric.
Mean μ, standard deviation sigma, degree of bias Sk, kurtosis KuIt is both needed to individually calculate by positive and negative half cycle, and cross-correlation coefficient cc is then not It must.In this way, fromWith27 statistical parameters can be extracted in three kinds of spectrograms in total.For convenience It indicates, 27 statistical parameters is numbered, as shown in table 1.27 statistical parameters constitute the fingerprint of partial discharge model.
The statistical parameter table of the ultrasonic local discharge signal of table 1
6) the four kinds of discharge spectrums and 27 flash-over characteristic Statistical Operators that display module display is drawn.
When live live detection, power cable insulation state detection is carried out using the present invention, there are failures or hidden to insulation The power cable of trouble carries out fault location, characterizes flash-over characteristic by way of drawing discharge spectrum and extracting Statistical Operator, is On-site test personnel judge that abort situation and fault category provide experimental basis, for the generation for reducing power cable accident, guarantee Equipment safety operation is of great significance.
Detailed description of the invention
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.

Claims (9)

1. a kind of XLPE power cable partial discharge diagnostic method, which is characterized in that this method comprises:
Step 1, the ultrasonic wave local discharge signal and superfrequency shelf depreciation for the low frequency that acquisition power cable shelf depreciation generates Signal calculates the time difference with the ultrasonic wave local discharge signal of low frequency using ultrahigh frequency partial discharge signal as time reference, The time delay for obtaining ultrasonic wave local discharge signal, by the time difference of delay multiplied by the propagation speed of ultrasonic wave local discharge signal Degree, obtains shelf depreciation point at a distance from Partial Discharge Detection point;
Step 2, ultrasonic wave local discharge signal is subjected to a point phase window, most by ultrasonic wave local discharge signal in phase window For amplitude absolute value compared with the discharge threshold of setting, determining has the phase window of shelf depreciation;
Step 3, after ultrasonic wave local discharge signal being carried out waveform adjustment calculating, by the ultrasonic wave local discharge signal of phase window The phase opening relationships of amplitude and the power-frequency voltage signal applied;
Step 4, the phase information of ultrasonic wave local discharge signal and amplitude information are depicted as electric discharge amplitude phase spectrogram, maximum Discharge amplitude phase spectrogram, averaged discharge amplitude phase spectrogram and discharge time phase spectrogram;
Step 5, the spectrogram of four kinds of ultrasonic wave local discharge signals in step 4 is subjected to statistical nature calculating, extracts characterization office 27 Statistical Operators of portion's flash-over characteristic;
Step 2 includes: the power-frequency voltage signal that power cable application is measured using divider, 1 power frequency week that one is acquired The data of power-frequency voltage signal and ultrasonic wave local discharge signal are each separated into N number of phase window in phase, and each phase window is M super Sound wave local discharge signal and M power-frequency voltage signal, each phase window corresponds to a phase of power-frequency voltage, to every 1 M ultrasonic wave local discharge signal in phase window seeks maximum amplitude, by the discharge threshold of the absolute value of maximum amplitude and setting Compare, determine in this phase window whether there is shelf depreciation, records the maximum amplitude of the ultrasonic wave local discharge signal, and this Ultrasonic wave local discharge signal amplitude of the maximum amplitude as the phase window.
2. XLPE power cable partial discharge diagnostic method described in accordance with the claim 1, which is characterized in that step 3 will be ultrasonic Wave local discharge signal carries out waveform adjustment to calculate including averaging to M power-frequency voltage signal in every 1 phase window, By the ultrasonic wave local discharge signal amplitude of phase window and the phase opening relationships of power-frequency voltage that is applied, by 1~N number of phase Window corresponds to 0 °~360 ° of phase, and the ultrasonic wave local discharge signal amplitude of i-th of phase window is made to correspond to sinusoidal waveform i* The phase of 360 °/N.
3. XLPE power cable partial discharge diagnostic method according to claim 2, which is characterized in that by the super of phase window The phase opening relationships of sound wave local discharge signal amplitude and the power-frequency voltage signal applied includes: by 1 complete power frequency week The voltage signal of rising edge zero crossing takes out in phase, by the ultrasonic wave part after voltage signal rising edge zero crossing the window's position Discharge signal is toward Forward, by the ultrasonic wave local discharge signal before voltage signal rising edge zero crossing the window's position toward moving back, Obtain the relationship of the ultrasonic wave local discharge signal amplitude of phase window and the phase of the power-frequency voltage signal applied.
4. XLPE power cable partial discharge diagnostic method described in accordance with the claim 1, which is characterized in that local discharge characteristic It include: mean μ, standard deviation sigma, degree of bias Sk, kurtosis KuAnd cross-correlation coefficient cc.
5. XLPE power cable partial discharge diagnostic method described in accordance with the claim 1, which is characterized in that the parameter of sampling Are as follows: sample rate 20MS/s, acquisition time are 1 power frequency period, and sampling length is 400000 points, i.e. the every acquisition 1 of capture card It is secondary, just obtain 400000 data in 1 complete power frequency period time.
6. a kind of XLPE power cable partial discharge diagnosis system, which is characterized in that the system includes:
Ultrasonic sensor and extra-high video sensor are respectively used to the ultrasonic wave office for the low frequency that acquisition power cable shelf depreciation generates Portion's discharge signal and ultrahigh frequency partial discharge signal;
Signal amplification and conditioning unit, amplify conditioning to ultrasonic wave local discharge signal and ultrahigh frequency partial discharge signal;
Capture card realizes that part is put by two channel reception ultrasonic wave local discharge signals and ultrahigh frequency partial discharge signal The real-time acquisition of electric signal;
Data processing module, the ultrasonic wave local discharge signal for the low frequency that the power cable shelf depreciation of acquisition is generated and extra-high Frequency local discharge signal calculates and believes with the ultrasonic wave shelf depreciation of low frequency using ultrahigh frequency partial discharge signal as time reference Number time difference, obtain ultrasonic wave local discharge signal time delay, by the time difference of delay multiplied by ultrasonic wave shelf depreciation The spread speed of signal obtains shelf depreciation point at a distance from Partial Discharge Detection point;
Ultrasonic wave local discharge signal is subjected to a point phase window, passes through the maximum amplitude of ultrasonic wave local discharge signal in phase window For absolute value compared with the discharge threshold of setting, determining has the phase window of shelf depreciation, specifically includes: measuring electric power using divider The power-frequency voltage signal that cable applies, by power-frequency voltage signal and ultrasonic wave shelf depreciation in 1 power frequency period of an acquisition The data of signal are each separated into N number of phase window, and each phase window is M ultrasonic wave local discharge signal and M power-frequency voltage letter Number, each phase window corresponds to a phase of power-frequency voltage, to M ultrasonic wave local discharge signal in every 1 phase window Maximum amplitude is sought, whether by the absolute value of maximum amplitude compared with the discharge threshold of setting, determining in this phase window has part to put Electricity records the maximum amplitude of the ultrasonic wave local discharge signal, and using the maximum amplitude as the ultrasonic wave office of the phase window Portion's discharge signal amplitude;
By ultrasonic wave local discharge signal carry out waveform adjustment calculate after, by the ultrasonic wave local discharge signal amplitude of phase window with The phase opening relationships of the power-frequency voltage signal applied;
The phase information of ultrasonic wave local discharge signal and amplitude information are depicted as electric discharge amplitude phase spectrum by spectrogram drafting module Figure, maximum electric discharge amplitude phase spectrogram, averaged discharge amplitude phase spectrogram and discharge time phase spectrogram;
The spectrogram of four kinds of ultrasonic wave local discharge signals is carried out statistical nature calculating, extracted by discharge characteristic parametric statistics module Characterize 27 Statistical Operators of Characteristics of Partial Discharge;
Display module shows the spectrogram of four kinds of ultrasonic wave local discharge signals.
7. XLPE power cable partial discharge diagnosis system according to claim 6, which is characterized in that signal amplification and tune Managing unit includes and the sequentially connected preamplifier of ultrasonic sensor, bandpass filter and buffer circuit, and and superfrequency The sequentially connected low-noise amplifier of sensor, high-pass filter and wave detector;Wherein, the output of preamplifier and band logical are filtered The input of wave device is connected, and bandpass filter filters out the various ambient noises unrelated with ultrasonic wave local discharge signal, band logical filter The output of wave device connects the input of buffer circuit, increases output electric current.
8. XLPE power cable partial discharge diagnosis system according to claim 7, which is characterized in that extra-high video sensor Output connect the input of low-noise amplifier and be followed by the input of high-pass filter, high-pass filter handle and superfrequency shelf depreciation are believed Number unrelated low-frequency interference signal filters out, and the output of high-pass filter connects the input of wave detector, and wave detector is super high band part Discharge signal moves to low-frequency range.
9. XLPE power cable partial discharge diagnosis system according to claim 6, which is characterized in that capture card sample rate For 20MS/s, acquisition time is 1 power frequency period, and sampling length is 400000 points, i.e. the every acquisition of capture card 1 time, just obtains 1 400000 data in a complete power frequency period time.
CN201610961336.3A 2016-10-28 2016-10-28 A kind of XLPE power cable partial discharge diagnostic method and system Active CN106501690B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610961336.3A CN106501690B (en) 2016-10-28 2016-10-28 A kind of XLPE power cable partial discharge diagnostic method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610961336.3A CN106501690B (en) 2016-10-28 2016-10-28 A kind of XLPE power cable partial discharge diagnostic method and system

Publications (2)

Publication Number Publication Date
CN106501690A CN106501690A (en) 2017-03-15
CN106501690B true CN106501690B (en) 2019-02-15

Family

ID=58322692

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610961336.3A Active CN106501690B (en) 2016-10-28 2016-10-28 A kind of XLPE power cable partial discharge diagnostic method and system

Country Status (1)

Country Link
CN (1) CN106501690B (en)

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106707128A (en) * 2017-03-16 2017-05-24 国家电网公司 Acoustoelectric associated local cable discharge locating device and method
CN106950482B (en) * 2017-05-09 2019-03-29 广东电网有限责任公司珠海供电局 A kind of corona interference elimination method based on alternate signal map similarity relation
CN107153154B (en) * 2017-06-14 2019-11-01 中国矿业大学 A kind of two sides earth cable insulation deterioration diagnosis method
CN107367672B (en) * 2017-07-20 2019-11-26 国网江西省电力公司电力科学研究院 High-tension switch cabinet Full-automatic belt electric detection method
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
DE102017217127A1 (en) 2017-09-26 2019-03-28 Siemens Aktiengesellschaft Method and arrangement for detecting partial discharges in an electrical equipment
CN107831412B (en) * 2017-10-11 2020-02-21 国网上海市电力公司 Electrical equipment partial discharge positioning method and system, storage medium and terminal equipment
CN107765152A (en) * 2017-10-23 2018-03-06 南京联能电力检测研究所有限公司 The method that shelf depreciation positioning is carried out using coefficient correlation and Newton-Laphson method
CN108061845B (en) * 2017-12-15 2024-04-02 中国南方电网有限责任公司超高压输电公司检修试验中心 GIS partial discharge data acquisition device
CN108896879B (en) * 2018-05-15 2020-02-04 国网江苏省电力有限公司电力科学研究院 Diagnostic map phase windowing parameter adjusting method based on partial discharge signal characteristics
CN108802583A (en) * 2018-06-26 2018-11-13 西安开天电气可靠性实验室有限公司 A kind of electric railway high pressure feeder cable partial discharge monitoring method
CN109490730A (en) * 2018-12-19 2019-03-19 国网北京市电力公司 Cable discharge detection method, device, storage medium and processor
CN109685138B (en) * 2018-12-25 2023-04-07 东南大学 XLPE power cable partial discharge type identification method
CN110031733A (en) * 2019-04-16 2019-07-19 国网江苏省电力有限公司电力科学研究院 Detection method for local discharge and system
CN110161386A (en) * 2019-05-06 2019-08-23 贵州电网有限责任公司 A kind of portable high-pressure cable connector local discharge detection device and method
CN110347717A (en) * 2019-05-28 2019-10-18 国家电网有限公司 A kind of big data storage method based on urban electric power equipment monitoring
CN110568324B (en) * 2019-08-06 2021-11-30 北京三清互联科技有限公司 GIS partial discharge online monitoring system and method
CN110632479B (en) * 2019-11-03 2020-09-29 西南交通大学 EPR cable insulation performance evaluation method based on discharge capacity normalized transformation
CN111077416B (en) * 2019-12-10 2022-06-10 云南电网有限责任公司曲靖供电局 Low-cost ultra-wideband discharge signal detection device and detection method thereof
CN111665420A (en) * 2020-05-29 2020-09-15 杭州电子科技大学 Ultrasonic partial discharge detection device and detection method thereof
CN113567741A (en) * 2021-07-19 2021-10-29 国网陕西省电力公司电力科学研究院 Method and system for monitoring state of oil-less equipment of transformer substation on line
CN114167224A (en) * 2021-08-09 2022-03-11 国网山西省电力公司太原供电公司 Transformer internal partial discharge signal discrimination method based on built-in ultrahigh frequency and ultrasonic detection
CN113866340A (en) * 2021-08-31 2021-12-31 国网上海市电力公司 Switch cabinet impulse voltage test and diagnosis method
CN114089139B (en) * 2021-12-07 2022-10-28 四川大学 Method and device for measuring turn-to-turn insulation PDIV (pulse-induced degradation) of variable frequency motor based on frequency domain energy
CN117054797B (en) * 2023-10-12 2024-01-26 国网天津市电力公司电力科学研究院 Method, device, apparatus and medium for defect detection of electrical device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702002A (en) * 2009-12-07 2010-05-05 上海市电力公司 Local discharge electroacoustic united detection positioning system and positioning method thereof
CN102279350A (en) * 2011-03-31 2011-12-14 广东电网公司广州供电局 Ultrasonic wave partial discharge detection analyzer
CN203249992U (en) * 2013-05-08 2013-10-23 西安电子科技大学 Acousto-electric integration partial discharge detection sensor
CN104535905A (en) * 2014-12-11 2015-04-22 国家电网公司 Partial discharge diagnosis method based on naive bayesian classification
CN104749501A (en) * 2015-03-20 2015-07-01 国家电网公司 Ultrasonic wave partial discharge analyzer and analyzing method

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10073132B2 (en) * 2013-12-11 2018-09-11 Telefonaktiebolaget Lm Ericsson (Publ) Analyzing partial discharge in an electric power distribution system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101702002A (en) * 2009-12-07 2010-05-05 上海市电力公司 Local discharge electroacoustic united detection positioning system and positioning method thereof
CN102279350A (en) * 2011-03-31 2011-12-14 广东电网公司广州供电局 Ultrasonic wave partial discharge detection analyzer
CN203249992U (en) * 2013-05-08 2013-10-23 西安电子科技大学 Acousto-electric integration partial discharge detection sensor
CN104535905A (en) * 2014-12-11 2015-04-22 国家电网公司 Partial discharge diagnosis method based on naive bayesian classification
CN104749501A (en) * 2015-03-20 2015-07-01 国家电网公司 Ultrasonic wave partial discharge analyzer and analyzing method

Also Published As

Publication number Publication date
CN106501690A (en) 2017-03-15

Similar Documents

Publication Publication Date Title
CN106501690B (en) A kind of XLPE power cable partial discharge diagnostic method and system
CN103645425B (en) High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method
JP4261041B2 (en) Insulation abnormality diagnosis device for high voltage equipment and insulation abnormality diagnosis method thereof
CN101666850A (en) Acoustic-electric detection device for insulation defects of power cable
CN104407270A (en) Online fault monitoring device for cable connector in 10-35kV power distribution network and method for evaluating system state
CN106771922B (en) A kind of high-tension electricity system of detecting partial discharge in equipment and Recognition of Partial Discharge
CN204256093U (en) The On-line Fault monitoring device of cable splice in a kind of 10 ~ 35kV power distribution network
CN101702002A (en) Local discharge electroacoustic united detection positioning system and positioning method thereof
CN109490730A (en) Cable discharge detection method, device, storage medium and processor
CN108710074A (en) A kind of partial discharge of switchgear detecting system based on Radio Transmission Technology
CN101650406A (en) Local discharge on-line detection method and device of high-voltage cross-linking polythene cable system
KR20140120331A (en) System for analyzing and locating partial discharges
CN106405349A (en) Method and system of intrusion ultra high frequency and ultrasonic detection of partial discharge in transformer oil
CN106950227A (en) A kind of composite insulator defect lossless detection method
CN111157864B (en) Partial discharge ultrasonic signal and map recognition system and method
JP2010085366A (en) Apparatus for diagnosing abnormality in insulation of high-voltage electric instrument
CN106249118A (en) Based on GIS device superfrequency partial discharge detecting system under surge voltage
CN114089135A (en) Partial discharge sensor for variable distribution high-frequency current and method thereof
CN112505500B (en) Partial discharge severity evaluation method based on ultrahigh frequency detection mode
CN108680843A (en) A kind of method for detection of partial discharge of switch cabinet based on Radio Transmission Technology
CN116008751A (en) Sample enhancement-based cable partial discharge fault characteristic identification method
Elben et al. Modern noise rejection methods and their applicability in partial discharge measurements on HVDC cables
CN204287392U (en) For the visual ultrasonic fast inspection device that electric line is maked an inspection tour
CN104777446B (en) A kind of capacitive current transformer on-line fault diagnosis device and method
CN203929971U (en) Ultrasound wave Analysis of Partial Discharge instrument

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant