CN102478618A - Online monitoring method for partial discharging of 500 KV cross-linked cable - Google Patents
Online monitoring method for partial discharging of 500 KV cross-linked cable Download PDFInfo
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- CN102478618A CN102478618A CN2010105539886A CN201010553988A CN102478618A CN 102478618 A CN102478618 A CN 102478618A CN 2010105539886 A CN2010105539886 A CN 2010105539886A CN 201010553988 A CN201010553988 A CN 201010553988A CN 102478618 A CN102478618 A CN 102478618A
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000012544 monitoring process Methods 0.000 title claims abstract description 14
- 238000007599 discharging Methods 0.000 title abstract 8
- 230000005540 biological transmission Effects 0.000 claims abstract description 5
- 238000003745 diagnosis Methods 0.000 claims abstract description 4
- 239000000284 extract Substances 0.000 claims description 8
- 230000008878 coupling Effects 0.000 claims description 4
- 238000010168 coupling process Methods 0.000 claims description 4
- 238000005859 coupling reaction Methods 0.000 claims description 4
- 238000005070 sampling Methods 0.000 claims description 3
- 238000009413 insulation Methods 0.000 abstract description 9
- 238000012545 processing Methods 0.000 abstract description 2
- 230000001360 synchronised effect Effects 0.000 abstract description 2
- 230000007547 defect Effects 0.000 abstract 1
- 238000000605 extraction Methods 0.000 abstract 1
- 238000012423 maintenance Methods 0.000 abstract 1
- 238000013507 mapping Methods 0.000 abstract 1
- 230000002950 deficient Effects 0.000 description 6
- 229920003020 cross-linked polyethylene Polymers 0.000 description 3
- 239000004703 cross-linked polyethylene Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 230000005684 electric field Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000015556 catabolic process Effects 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 230000006866 deterioration Effects 0.000 description 1
- 238000012631 diagnostic technique Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 1
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- 239000007787 solid Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
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Abstract
The invention relates to an online monitoring method for the partial discharging of a 500 KV cross-linked cable, comprising the following steps of: (1) signal collection and transmission: acquiring partial discharging signals and low-frequency synchronous signals by a sensor; (2) signal character extraction: carrying out primary processing on data by a host machine to extract a waveform character and then mapping character parameters corresponding to all waveforms on a character spectrogram; (3) expert system identification: classifying and separating discharging types and identifying the discharging modes by a computer processor; (4) carrying out fault diagnosis and equipment condition estimation by the computer processor to obtain the partial discharging data of the cross-linked cable. Compared with the prior art, the invention has the advantage that different discharging types are separated, on the basis, the collected data are analyzed and judged by using a fussy logic method to further remove noise interference and classify and identify the partial discharging type, and therefore, the insulation defect of an operating cable is discovered, the emergent operation fault of a power cable is prevented and a condition maintenance purpose is realized.
Description
Technical field
The present invention relates to a kind of partial discharge monitoring method, especially relate to a kind of 500 kilovolts of crosslinked cable partial discharge monitoring methods.
Background technology
Shelf depreciation is the sign and the main cause of crosslinked polyethylene (XLPE) cable insulation deterioration.High pressure, ultrahigh-voltage XLPE insulated power cable partial discharge quantity and its insulation status are closely related; The variation of partial discharge quantity is indicating that cable insulation exists the defective that possibly jeopardize the cable running safety life-span; Therefore, accurately the partial discharge quantity of measured X LPE insulated power cable be judge the cable insulation quality the most intuitively, the most desirable, effective method.The on-the-spot installation quality of 500kV joint is most important to the safe operation of whole cable system.Cable accessory is installed at the scene, and manufacture craft and artificial experience have determined the quality and the life-span of cable accessory largely.Its insulation quality often is lower than the cable body of produce in factory; Impurity, machinery or pressure intensity such as the dust that possibly introduce when adding the cable accessory installation, electrically conductive particles, air gap, moisture are not enough, electric field nargin considers that problems such as unreasonable and bad material all possibly make the cable accessory insulation exist many defectives or weak link, and these defectives and weak link be the especially easy shelf depreciation that causes at the high field intensity position that electric field is concentrated.Along with the discharge position insulating medium be decomposed; Will produce carbon granules vestige with electric conductivity; This phenomenon progressively develops expansion, causes out from the material non-continuous face, forms discharge channel; And then cause that electric field distorts more, finally can cause cable accessory the insulating medium electric breakdown, collapse burning; And when annex advances the time of tide complex media creeping discharge takes place more easily, wherein account for more than 97% of cable accessory fault sum because of multi-layer solid complex media creeping discharge reason causes the joint breakdown fault.
Summary of the invention
The object of the invention is exactly to provide a kind of for the defective that overcomes above-mentioned prior art existence different discharges is separated; On this basis, the method for utilization fuzzy logic is carried out analysis and judgement to image data, and cancelling noise disturbs; Type is put in Classification and Identification office; Reach operation cable insulation defective, the sudden operation troubles of prevention power cable, the 500 kilovolts of crosslinked cable partial discharge monitoring methods of the purpose of realization repair based on condition of component found.
The object of the invention can be realized through following technical scheme: a kind of 500 kilovolts of crosslinked cable partial discharge monitoring methods; It is characterized in that; This method may further comprise the steps: 1) signals collecting and transmission, and sensor obtains innings discharge signal and low frequency synchronisation signal; 2) signal characteristic extracts, and main frame carries out rough handling to data, extracts waveform character, with each waveform characteristic of correspondence parameter maps to the characteristic spectrogram; 3) expert system identification, computer processor is classified to electric discharge type and is separated, and discharge mode is discerned; 4) computer processor carries out fault diagnosis and equipment state estimation, obtains crosslinked cable shelf depreciation data.
Described step 1) is to obtain the discharge pulse waveform through sensor slave unit port by the high-speed wideband sampling thief.
Sensor in the described step 1) comprises the curtage coupling sensor.
Described step 2) extracting waveform character in is to extract characteristic time domain parameter and characteristic frequency domain parameter.
Compared with prior art, the present invention can separate different discharges, on this basis; The method of utilization fuzzy logic is carried out analysis and judgement to image data; Cancelling noise disturbs, and type is put in Classification and Identification office, reaches to find operation cable insulation defective; The sudden operation troubles of prevention power cable, the purpose of realization repair based on condition of component.
Description of drawings
Fig. 1 is a structural representation of the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is elaborated.
Embodiment
The office's discharge signal and the low frequency synchronisation signal that from sensor, obtain are all imported in the main frame (PDCheck) through concentric cable.Main frame carries out rough handling to data; Extract waveform character; And be connected (RJ45) with the network interface card of portable computer through Network transmission line and optical fiber, photoelectric commutator, characteristic is passed to computer, again with special software classify, the identification of separation and discharge mode.Its diagnostic techniques comprises following several aspect: signals collecting and transmission, signal characteristic extract, expert system is discerned, reach fault diagnosis and equipment state is estimated.
1) at first obtains the discharge pulse waveform by the high-speed wideband sampling thief, and extract waveform character (comprising characteristic time domain parameter and characteristic frequency domain parameter) through particular sensor (curtage coupling) slave unit port.On original waveform, extract time and frequency domain characteristics, so that separate different discharge kinds.Characteristic must have susceptibility and specificity.
2) with each waveform characteristic of correspondence parameter maps to the characteristic spectrogram.Can know and see that different electric discharge types have adoption property, can separate automatically, classify that promptly the user can accomplish separation identification work with software under the situation that does not have the expert to instruct by indistinct logic computer.
3),, judge its discharge kind, like the position of the relative lead of discharge in the cable in conjunction with its further feature (like operating frequency phase, discharge repetition rate, polarity, amplitude distribution etc.) to each type discharge.
4) at last according to the discharge kind and the order of severity thereof, in conjunction with relevant device information, the diagnostic device state is for the supvr provides decision-making foundation.
As shown in Figure 1, for being used for the device of the inventive method, this device comprises:
Partial discharge monitoring main frame 4: it is indoor to be placed on transforming plant protecting, and analysis software is put in operation office, collects the detection signal of front-end equipment, and detection signal is carried out analyzing and processing.Adopt portable notebook computer in the test.
Front end measuring equipment 2 is put in office: link to each other with the network equipment at scene through network interface, pass to the partial discharge monitoring main frame that is installed in cable Surveillance center with detecting data in real time.Each office puts the front end measuring equipment and can connect 3 PD sensors.
HFCT (PD sensor) 1: be installed on the ground wire, detection office discharge signal, its quantity disposes as required.
Synchronous signal sensor: be used for the pulsed current signal of coupling cable joint, confirm the signal phase relation.
Photoelectric commutator 3: be used for partial discharge monitoring main frame 4 and put being connected of front end measuring equipment 2 with office.
Claims (4)
1. one kind 500 kilovolts crosslinked cable partial discharge monitoring methods is characterized in that this method may further comprise the steps:
1) signals collecting and transmission, sensor obtains innings discharge signal and low frequency synchronisation signal;
2) signal characteristic extracts, and main frame carries out rough handling to data, extracts waveform character, with each waveform characteristic of correspondence parameter maps to the characteristic spectrogram;
3) expert system identification, computer processor is classified to electric discharge type and is separated, and discharge mode is discerned;
4) computer processor carries out fault diagnosis and equipment state estimation, obtains crosslinked cable shelf depreciation data.
2. a kind of 500 kilovolts of crosslinked cable partial discharge monitoring methods according to claim 1 is characterized in that described step 1) is to obtain the discharge pulse waveform through sensor slave unit port by the high-speed wideband sampling thief.
3. a kind of 500 kilovolts of crosslinked cable partial discharge monitoring methods according to claim 1 is characterized in that the sensor in the described step 1) comprises the curtage coupling sensor.
4. a kind of 500 kilovolts of crosslinked cable partial discharge monitoring methods according to claim 1 is characterized in that described step 2) in to extract waveform character be to extract characteristic time domain parameter and characteristic frequency domain parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010105539886A CN102478618A (en) | 2010-11-22 | 2010-11-22 | Online monitoring method for partial discharging of 500 KV cross-linked cable |
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| Application Number | Priority Date | Filing Date | Title |
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| CN2010105539886A CN102478618A (en) | 2010-11-22 | 2010-11-22 | Online monitoring method for partial discharging of 500 KV cross-linked cable |
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| CN102478618A true CN102478618A (en) | 2012-05-30 |
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| CN2010105539886A Pending CN102478618A (en) | 2010-11-22 | 2010-11-22 | Online monitoring method for partial discharging of 500 KV cross-linked cable |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103645425A (en) * | 2013-11-15 | 2014-03-19 | 广东电网公司电力科学研究院 | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method |
| CN103698674A (en) * | 2014-01-02 | 2014-04-02 | 国家电网公司 | Flow cable partial discharge online monitoring system |
| CN105203922A (en) * | 2015-09-17 | 2015-12-30 | 国家电网公司 | Electric transmission line fault positioning method based on multiple classifiers |
| CN109257757A (en) * | 2018-08-23 | 2019-01-22 | 全球能源互联网研究院有限公司 | A kind of interference analysis system towards electric power wireless private network |
| CN109633385A (en) * | 2018-12-03 | 2019-04-16 | 珠海华网科技有限责任公司 | A kind of method that noise and electric discharge are distinguished in the on-line monitoring of cable of HFCT |
| CN110286302A (en) * | 2019-06-26 | 2019-09-27 | 全球能源互联网欧洲研究院 | The detection method and detection system of local discharge signal |
| CN112305370A (en) * | 2019-08-01 | 2021-02-02 | 中国石油化工股份有限公司 | Single-core XLPE power cable fault early warning method and device |
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| CN1580797A (en) * | 2004-05-17 | 2005-02-16 | 西安交通大学 | Power cable local discharge on-line monitoring method and device |
| EP1593981A2 (en) * | 2004-05-04 | 2005-11-09 | General Electric Company | Partial discharge detection device |
| CN201527463U (en) * | 2009-09-18 | 2010-07-14 | 国网电力科学研究院武汉南瑞有限责任公司 | High-voltage cross-linked polyethylene cable system partial discharge on-line detecting device |
| CN101782622A (en) * | 2009-11-25 | 2010-07-21 | 西安博源电气有限公司 | Partial discharge on-line monitoring device of power cable and joint |
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2010
- 2010-11-22 CN CN2010105539886A patent/CN102478618A/en active Pending
Patent Citations (4)
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| EP1593981A2 (en) * | 2004-05-04 | 2005-11-09 | General Electric Company | Partial discharge detection device |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103645425A (en) * | 2013-11-15 | 2014-03-19 | 广东电网公司电力科学研究院 | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method |
| CN103645425B (en) * | 2013-11-15 | 2015-06-10 | 广东电网公司电力科学研究院 | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method |
| CN103698674A (en) * | 2014-01-02 | 2014-04-02 | 国家电网公司 | Flow cable partial discharge online monitoring system |
| CN105203922A (en) * | 2015-09-17 | 2015-12-30 | 国家电网公司 | Electric transmission line fault positioning method based on multiple classifiers |
| CN109257757A (en) * | 2018-08-23 | 2019-01-22 | 全球能源互联网研究院有限公司 | A kind of interference analysis system towards electric power wireless private network |
| CN109257757B (en) * | 2018-08-23 | 2021-11-09 | 全球能源互联网研究院有限公司 | Interference analysis system for electric power wireless private network |
| CN109633385A (en) * | 2018-12-03 | 2019-04-16 | 珠海华网科技有限责任公司 | A kind of method that noise and electric discharge are distinguished in the on-line monitoring of cable of HFCT |
| CN110286302A (en) * | 2019-06-26 | 2019-09-27 | 全球能源互联网欧洲研究院 | The detection method and detection system of local discharge signal |
| CN112305370A (en) * | 2019-08-01 | 2021-02-02 | 中国石油化工股份有限公司 | Single-core XLPE power cable fault early warning method and device |
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Owner name: STATE GRID CORPORATION OF CHINA SHANGHAI ELECTRIC Free format text: FORMER OWNER: SHANGHAI JIULONG ELECTRIC POWER SCIENCE + TECHNOLOGY CO., LTD. Effective date: 20121220 |
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Effective date of registration: 20121220 Address after: 200122 Shanghai City, Pudong New Area source deep road, No. 1122 Applicant after: Shanghai Electric Power Corporation Applicant after: State Grid Corporation of China Applicant after: Shanghai Electric Power Communication Co., Ltd. Address before: 200122 Shanghai City, Pudong New Area source deep road, No. 1122 Applicant before: Shanghai Electric Power Corporation Applicant before: Shanghai Jiulong Electric Power Co., Ltd. |
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Application publication date: 20120530 |