CN111044863A - Method for detecting partial discharge phenomenon of high-voltage electrical equipment - Google Patents
Method for detecting partial discharge phenomenon of high-voltage electrical equipment Download PDFInfo
- Publication number
- CN111044863A CN111044863A CN201911351955.0A CN201911351955A CN111044863A CN 111044863 A CN111044863 A CN 111044863A CN 201911351955 A CN201911351955 A CN 201911351955A CN 111044863 A CN111044863 A CN 111044863A
- Authority
- CN
- China
- Prior art keywords
- partial discharge
- frequency
- electrical equipment
- voltage electrical
- detection
- 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.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention relates to a technology for realizing the detection of a partial discharge phenomenon in high-voltage electrical equipment, in particular to a realization method which fully utilizes the technologies of sensing, analog-to-digital conversion, information processing and communication of the partial discharge phenomenon of the high-voltage electrical equipment to completely capture the discharge phenomenon with higher cost performance and truly present the discharge phenomenon. The method aims at the repeatability of the partial discharge phenomenon in the high-voltage electrical equipment, and completely and truly captures high-frequency and ultrahigh-frequency pulse signals generated by the partial discharge phenomenon in the high-voltage electrical equipment at a necessary high-efficiency sampling rate by applying suitable high-speed information processing, analog-to-digital conversion chips, digital filtering algorithms, software frequency reduction and other technologies based on statistical principles and related information processing technologies. By the method, a user can completely and really capture high-frequency and ultrahigh-frequency pulse signals generated by partial discharge of the high-voltage electrical equipment at lower cost, and accurate judgment and diagnosis are provided by analyzing and researching the acquired detection signals.
Description
Abstract: the invention relates to a technology for realizing the detection of a partial discharge phenomenon in high-voltage electrical equipment, in particular to a realization method for completely capturing and really presenting a partial discharge original signal in the high-voltage electrical equipment with the highest cost performance by fully utilizing the technologies of state perception, analog-to-digital conversion, information processing and communication of the high-voltage electrical equipment.
The method aims at the repeatability and periodicity characteristics of the partial discharge phenomenon in the high-voltage electrical equipment, based on the statistical principle and the related information processing technology, and can completely and truly capture the original high-frequency and ultrahigh-frequency pulse signals generated by the partial discharge phenomenon in the high-voltage electrical equipment at the necessary high-efficiency sampling rate through the selection and the composite application of a proper high-speed information processing system, an analog-to-digital conversion chip, a digital filtering algorithm and a software frequency reduction technology.
By the method, a user can use the analog-to-digital conversion chip with a lower sampling rate to completely and really capture high-frequency and ultrahigh-frequency pulse signals generated by partial discharge of high-voltage electrical equipment at a lower cost, and accurately analyze, research, judge and diagnose the acquired detection data.
Technical Field: according to the sampling principle, the sampling value can contain all the information of the original signal only if the sampling frequency is greater than or equal to twice the highest frequency of the effective signal, and the sampled signal can be restored to the original signal without distortion.
At present, a high-frequency current method and an ultrahigh-frequency electromagnetic wave method are generally adopted for detecting partial discharge of main high-voltage electrical equipment. The frequency band range of the sensor is 0.1-100 MHz by a high-frequency current method, and the effective monitoring frequency band of the ultrahigh-frequency sensor is 300-1500M. Theoretically, the sampling rate of the signal acquisition device for high-frequency and ultrahigh-frequency partial discharge signals should reach more than 3G.
The manufacturing cost of the monitoring device is directly influenced by the sampling rate, and the higher the sampling rate is, the higher the cost is. In order to reduce the cost, monitoring equipment manufacturers generally adopt a mode of firstly reducing the frequency and then sampling, and the minimum frequency is only 2M. The sampling data are seriously distorted, the detection result only depends on the statistic value of multiple sampling, and the original real discharge signal curve cannot be seen.
In order to obtain a complete discharge signal, a tester can only bring a high-speed oscilloscope in a laboratory to a field for monitoring, or purchase a high-priced precision instrument as a conventional partial discharge detector.
Disclosure of Invention: aiming at the conditions that the effective frequency of partial discharge high-frequency and ultrahigh-frequency signals of high-voltage electrical equipment is up to 1.5G, the frequency band is wide in multiple ranges, and only a high-speed oscilloscope and expensive special detection equipment can be adopted, the invention designs a series of low-cost methods for completely and really capturing partial discharge signals in the frequency band range below 1.5GHz by using chips with proper sampling rate by adopting an equivalent sampling principle.
According to the method, according to an equivalent sampling principle, an ARM + FPGA framework and a 60MHz analog-to-digital converter (ADC) are used for constructing a detection unit 4, and a high-frequency and ultrahigh-frequency pulse signal 3 capturing and sampling detection 5 process of high-voltage electrical equipment 1 with an equivalent sampling rate of more than 3GHz is designed; the complete capture 25 of the high-frequency and ultrahigh-frequency partial discharge 2 is completed through multiple repetitions of a 19 sampling process and necessary software noise reduction 22, software filtering 23 and software frequency reduction 31, and the detection effect of the high-speed oscilloscope is realized.
(1) The detection unit consists of a synchronous interface 7, a multi-channel signal input interface 8, a conditioning circuit 9, an ADC sampling circuit 10, a data processing chip 11, a data memory 13 and a communication interface circuit 14;
(2) after receiving the sampling instruction, the detection unit 4 detects the synchronous signal 17, and when the synchronous signal 17 changes from negative to positive, the ADC sampling circuit 4 starts sampling 19 at a sampling rate of 60MHz for 20 milliseconds to obtain 1,200,000 sampling data points, and stores the sampling data points in the acquisition queue 1;
(3) after waiting [20+0.4] ms, the ADC sampling circuit 10 starts sampling 19 for the 2 nd time for 20 ms, obtains 1,200,000 sampled data points, and stores them in the acquisition queue 2;
(4) repeating the step (3), namely after waiting for [20+0.4 xn ] milliseconds, starting sampling 19 for the (n-1) th time by the ADC sampling circuit 10 for 20 milliseconds, obtaining 1,200,000 sampling data points, and storing the sampling data points in the acquisition queue n-1 until n is 49, so as to obtain 50 groups of acquisition data queues;
(5) respectively interleaving and summarizing 50 groups of sampling data in sequence 21 to form a new queue with 60,000,000 data, namely a local discharge detection original time domain waveform data set;
(6) filtering out all sampling data in the effective frequency band ranges of non-high frequency and ultrahigh frequency by using an FIR software filtering 23 algorithm, and storing the data formed after filtering in a filtering result queue 24;
(7) and respectively carrying out data processing 5 on the filtered data queue 24 according to the requirement of partial discharge detection in the following way to obtain various data and services 6 required by the partial discharge detection:
A) adopting wavelet algorithm and other algorithms to perform software denoising 22, and storing real partial discharge detection 5 data;
B) capturing 25 a real discharge waveform 26 generated by a partial discharge phenomenon according to the background noise threshold setting;
C) obtaining a frequency spectrum 28 of the partial discharge detection 5 by using FFT 27;
D) obtaining a classification map 30 of the partial discharge detection 5 by using a partial discharge classification algorithm 29;
E) and (3) acquiring distribution 34 recorded on the phase by adopting an envelope frequency reduction 31 mode according to the requirement of the number of the power frequency phase lattice data points, evaluating the possibility of the partial discharge phenomenon, and judging the type of the partial discharge.
(8) And (3) driving the ADC sampling circuit 8 by adopting different sampling rates according to the effective frequency bands of different high-frequency and ultrahigh-frequency partial discharge signals 3, and repeating the sampling 19 process described in the steps (2) to (7), so that the corresponding partial discharge detection 5 service can be quickly completed by using proper data points.
The method is adopted to realize the service of the partial discharge detection device 4 and the partial discharge detection 5 of the high-voltage electrical equipment, and can provide the following functions:
(1) for the partial discharge detection 5 that the physical sampling rate of the ADC digital-to-analog converter 10 is 2 times higher than the maximum frequency of the partial discharge 2 effective detection of the high-voltage electrical equipment 1, a chip-cutting partial discharge detection method can be adopted, necessary software noise reduction 22 and filtering 23 are supplemented, abnormal waveform data 26 generated by the partial discharge in the detected equipment can be accurately and completely captured through one-time sampling, and relevant effective pulse statistics, operation and spectrogram are directly completed;
(2) for the partial discharge detection 5 with the physical sampling rate of the ADC digital-to-analog converter 10 being 2 times lower than the effective detection frequency of the partial discharge 2 phenomenon of the detected high-voltage electrical equipment 1, abnormal waveform data 26 generated by the partial discharge phenomenon which cannot be directly obtained by the ADC digital-to-analog converter 10 can be relatively, completely and accurately captured in a low-cost mode through a multi-equivalent sampling mode, and relatively real detection service is provided and completed;
(3) not only can the complete waveform data 26 which can truly reflect the partial discharge 2 phenomenon of the high-voltage electrical equipment 1 be captured to the utmost extent with the lowest cost, but also various interference factors can be removed by carrying out various noise reduction 22, filtering 23 and data processing algorithm operations on the complete waveform data, the multi-angle analysis of the partial discharge 2 phenomenon is completed, the local discharge site characteristics are fully obtained, and discrimination, judgment and evaluation are carried out;
(4) due to the limitation of equivalent sampling, the interference of abnormal pulse signals without continuity can be effectively and automatically shielded and filtered in the detection process.
The invention ensures the authenticity and integrity of the data capture of the partial discharge detection 5 of the high-voltage electrical apparatus 1, which is realized in a low-cost manner, by the use of the following essential methods:
(1) the ADC digital-to-analog converter 10 is a slice type partial discharge waveform capturing method adopted by partial discharge detection, wherein the physical sampling rate of the partial discharge detection is 2 times higher than the maximum effective detection frequency of partial discharge of the high-voltage electrical equipment 1;
(2) the physical sampling rate of the ADC digital-to-analog converter 10 is 2 times lower than the highest effective detection frequency of partial discharge of the high-voltage electrical equipment;
(3) a filtering 23 algorithm and an envelope frequency reduction 31 method which are carried out aiming at original partial discharge waveform detection data;
in a word, the invention fully utilizes the sampling theorem and the equivalent sampling mode, provides a series of methods for effectively detecting the complex partial discharge phenomenon of the high-voltage electrical equipment 1 by using a relatively low-cost mode through selecting the ADC digital-to-analog converter 10 with a proper sampling rate, and can completely and really obtain the original discharge waveform data 24 which can be captured only by an oscilloscope with a high sampling rate required by high-frequency and ultrahigh-frequency partial discharge detection.
Drawings
The invention will be further explained with reference to the drawings, in which
FIG. 1: the system object relationship diagram of the invention;
FIG. 2: the invention has the functional block diagram of the acquisition unit;
FIG. 3: the invention continuously samples the data flow diagram;
FIG. 4: the invention relates to an equivalent sampling data flow diagram.
Claims (9)
1. A method for realizing partial discharge phenomenon detection of high-voltage electrical equipment is characterized in that high-frequency and ultrahigh-frequency partial discharge detection designed according to the method is subject to the following principles and steps:
(1) for partial discharge detection of which the physical sampling rate of an ADC (analog to digital converter) is 2 times higher than the maximum frequency of partial discharge effective detection of high-voltage electrical equipment, a slice-type partial discharge detection mode is adopted, namely abnormal waveform data generated by partial discharge of the detected equipment is accurately and completely captured through one-time continuous sampling, and statistics, analysis and comparison of effective pulses and discrimination and diagnosis of partial discharge phenomena are directly completed;
(2) for the partial discharge detection of which the physical sampling rate of the ADC is 2 times lower than the effective detection frequency of the partial discharge phenomenon of the detected high-voltage electrical equipment, a repeated equivalent sampling mode is adopted, so that the cost reduction of real, complete and accurate capture of abnormal waveform data generated by the partial discharge phenomenon is realized, and the effect which can be realized by an oscilloscope with a high sampling rate and cannot be realized by the ADC with a low sampling rate is achieved, so that the statistics, analysis and comparison of effective pulses and the judgment and diagnosis of the partial discharge phenomenon are completed;
(3) when the partial discharge phenomenon of the high-voltage electrical equipment is subjected to equivalent sampling detection, a period of time is required to be spaced between repeated sampling according to the physical sampling rate of the ADC; the interval time is divided by the remainder of the power frequency period and multiplied by the repetition times, and is exactly equal to one power frequency period, namely 20 milliseconds;
(4) when the local discharge phenomenon of the high-voltage electrical equipment is subjected to equivalent sampling detection, the physical sampling rate multiplied by the repetition frequency of the ADC must be higher than or equal to 2 times of the highest frequency of the local discharge effective detection frequency band of the high-voltage electrical equipment of the detected equipment;
(5) when the high-voltage electrical equipment partial discharge phenomenon is subjected to equivalent sampling detection, inserting, recombining and restoring multiple sampling result data according to a detection time interval to form a detection result data queue, namely original waveform data of the detected equipment partial discharge phenomenon;
(6) the noise reduction and the filtering of the partial discharge signal of the high-voltage electrical equipment are completely carried out on the basis of original waveform data of the partial discharge phenomenon of the detected equipment;
(7) extracting effective signals of partial discharge of the high-voltage electrical equipment on the basis of waveform data subjected to noise reduction and filtering of partial discharge of the detected equipment;
(8) for envelope frequency reduction of effective partial discharge signals of high-voltage electrical equipment, the envelope frequency reduction is carried out on the basis of waveform data subjected to noise reduction and filtering of partial discharge of detected equipment
(9) The method is used for carrying out equivalent sampling detection on the partial discharge phenomenon of the high-voltage electrical equipment, and is only effective on partial discharge signals with periodicity and repeatability.
2. The method according to claim 1, wherein in the principle and step (1), partial discharge detection, in which 2 times of the highest frequency of the partial discharge effective detection frequency band of the high-voltage electrical equipment is less than the physical sampling rate of the ADC digital-to-analog converter, can be performed in a slice-type partial discharge detection manner or in an equivalent sampling manner;
3. the method according to claim 1, characterized in that in the principle and step (2), the partial discharge detection of the high-voltage electrical equipment, in which the partial discharge effective detection frequency is 2 times higher than the physical sampling rate of the ADC digital-to-analog converter, must be performed in an equivalent sampling manner;
4. the method according to claim 1, wherein in the principle and step (3), when the partial discharge of the high-voltage electrical equipment is detected by adopting an equivalent sampling mode, the interval between two adjacent sampling times must be greater than 1 or more power frequency cycles;
5. the method according to claim 1, wherein in the principle and step (5), the filtering of the raw detection data of the partial discharge of the high-voltage electrical equipment is not limited to an FIR algorithm;
6. the method according to claim 1, wherein in the principle and step (9), equivalent sampling is an important part of the implementation of the present invention, and is only effective for detecting the partial discharge phenomenon of the high-voltage electrical equipment with relatively short high-frequency and ultrahigh-frequency effective pulse intervals, and can also be regarded as an effective measure for suppressing irregular pulse interference signals;
7. a method for realizing the detection of the partial discharge phenomenon of high-voltage electrical equipment is characterized in that a low-cost solution is provided for the detection of high-frequency and ultrahigh-frequency partial discharge effective pulses, equivalent sampling, software filtering and software frequency reduction technologies must be fully and comprehensively applied, and the complete and real capture of high-frequency and ultrahigh-frequency partial discharge pulse waveforms and information and the realization of map restoration realized by the method can be ensured.
8. A method for realizing partial discharge phenomenon detection of high-voltage electrical equipment is characterized in that an ARM + FPGA system architecture and a proper analog-to-digital converter (ADC) are used for constructing a detection unit, equivalent sampling rate is designed and implemented to be as high as the high-frequency and ultrahigh-frequency partial discharge signals of the detected high-voltage electrical equipment, the acquisition, analysis and operation of the partial discharge phenomenon are met, and the effect of an oscilloscope with corresponding high sampling rate is approached or achieved.
9. The method for detecting the partial discharge phenomenon of the high-voltage electrical equipment is characterized in that an ARM + FPGA system architecture and a proper analog-to-digital converter (ADC) are used for constructing the detection unit, and the method has the following functional characteristics:
(1) the original waveform of high-frequency and ultrahigh-frequency pulse signals generated by partial discharge in the high-voltage electrical equipment can be truly and completely captured;
(2) the method is used for carrying out noise reduction, conversion, digital filtering and software frequency reduction processing which are beneficial to characteristic extraction, comparison, statistics, judgment and diagnosis of partial discharge signals on high-frequency and ultrahigh-frequency pulse signal original waveforms generated by partial discharge in high-voltage electrical equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911351955.0A CN111044863A (en) | 2019-12-24 | 2019-12-24 | Method for detecting partial discharge phenomenon of high-voltage electrical equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911351955.0A CN111044863A (en) | 2019-12-24 | 2019-12-24 | Method for detecting partial discharge phenomenon of high-voltage electrical equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111044863A true CN111044863A (en) | 2020-04-21 |
Family
ID=70240022
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911351955.0A Pending CN111044863A (en) | 2019-12-24 | 2019-12-24 | Method for detecting partial discharge phenomenon of high-voltage electrical equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111044863A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101614759A (en) * | 2009-07-21 | 2009-12-30 | 深圳市鼎阳科技有限公司 | Digital oscilloscope real-time sampling method |
| CN102098051A (en) * | 2010-12-31 | 2011-06-15 | 余成 | Method and system for sampling high-frequency periodic signals |
| CN103513167A (en) * | 2013-09-18 | 2014-01-15 | 北京四方继保自动化股份有限公司 | Switch partial discharge condition monitoring device based on distributed network platforms |
| CN104502812A (en) * | 2014-11-26 | 2015-04-08 | 国家电网公司 | Partial discharge acquisition method and apparatus |
| CN104749498A (en) * | 2015-01-28 | 2015-07-01 | 西安交通大学 | Portable partial discharge detecting and diagnosing device |
| CN105652170A (en) * | 2016-03-23 | 2016-06-08 | 成都锐奕信息技术有限公司 | Device for detecting partial discharge of gas insulation transformer substation |
-
2019
- 2019-12-24 CN CN201911351955.0A patent/CN111044863A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101614759A (en) * | 2009-07-21 | 2009-12-30 | 深圳市鼎阳科技有限公司 | Digital oscilloscope real-time sampling method |
| CN102098051A (en) * | 2010-12-31 | 2011-06-15 | 余成 | Method and system for sampling high-frequency periodic signals |
| CN103513167A (en) * | 2013-09-18 | 2014-01-15 | 北京四方继保自动化股份有限公司 | Switch partial discharge condition monitoring device based on distributed network platforms |
| CN104502812A (en) * | 2014-11-26 | 2015-04-08 | 国家电网公司 | Partial discharge acquisition method and apparatus |
| CN104749498A (en) * | 2015-01-28 | 2015-07-01 | 西安交通大学 | Portable partial discharge detecting and diagnosing device |
| CN105652170A (en) * | 2016-03-23 | 2016-06-08 | 成都锐奕信息技术有限公司 | Device for detecting partial discharge of gas insulation transformer substation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4845441B2 (en) | Real-time power mask trigger generator | |
| WO2017178878A1 (en) | A full time-domain method for analyzing two or more signals for assessing them as electromagnetic interference (emi) | |
| JP5249499B2 (en) | Trigger generator and trigger generation method | |
| EP1336855A2 (en) | Method and apparatus for detecting electromagnetic interference | |
| EP2579055A1 (en) | METHOD FOR THE CONTINUOUS MONITORING AND DIAGNOSIS OF SOURCES OF PARTIAL DISCHARGES (PDs) IN HIGH-VOLTAGE CABLES DURING CONNECTION TO, AND OPERATION IN THE POWER GRID, AND PHYSICAL SYSTEM FOR CARRYING OUT SAME | |
| EP2402767B1 (en) | Method and apparatus for generating a gated density bitmap | |
| CN108710074A (en) | A kind of partial discharge of switchgear detecting system based on Radio Transmission Technology | |
| US20120130665A1 (en) | Time domain electromagnetic interference monitoring method and system | |
| CN110988624B (en) | Detection method and system for intermittent partial discharge signal | |
| CN106027179A (en) | Wideband frequency spectrum sensing method based on comprehensive co-prime analysis and device thereof | |
| CN107727906B (en) | Method and equipment for automatically setting oscilloscope | |
| EP2183608B2 (en) | Instrument and a method for detecting partial electrical discharges occurring in an electric apparatus | |
| CN108627743B (en) | Lossless capture method for partial discharge nanosecond narrow pulse sequence | |
| CN105807204B (en) | Hardware Trojan horse detection method based on frequency spectrum refinement | |
| CN111044863A (en) | Method for detecting partial discharge phenomenon of high-voltage electrical equipment | |
| CN108680843A (en) | A kind of method for detection of partial discharge of switch cabinet based on Radio Transmission Technology | |
| CN110764027B (en) | Electric connector intermittent fault diagnosis method based on frequency spectrum characteristic change | |
| CN116961799A (en) | Signal interference detection method based on time-frequency domain distribution characteristics | |
| JP5179615B2 (en) | Inspection apparatus and inspection method for APD measuring instrument | |
| US11640523B2 (en) | Method for training a neural network, method for automatically characterizing a measurement signal, measurement apparatus and method for analyzing | |
| CN111812404A (en) | Signal processing method and processing device | |
| KR100977469B1 (en) | method for removing A/Djacent induction noise included in partial discharge | |
| CN104502676B (en) | A kind of high-precision instantaneous signal detection method of IIR | |
| KR101515232B1 (en) | A processing apparatus and method of partial discharge diagnosis for gas insulated switchgear | |
| CN111190050B (en) | Electromagnetic signal interference detection system and method based on FPGA |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200421 |
|
| WD01 | Invention patent application deemed withdrawn after publication |