CN204044292U - For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring - Google Patents
For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring Download PDFInfo
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- CN204044292U CN204044292U CN201320825858.2U CN201320825858U CN204044292U CN 204044292 U CN204044292 U CN 204044292U CN 201320825858 U CN201320825858 U CN 201320825858U CN 204044292 U CN204044292 U CN 204044292U
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 37
- 238000009413 insulation Methods 0.000 title claims abstract description 17
- 230000007547 defect Effects 0.000 title claims abstract description 16
- 239000002184 metal Substances 0.000 title claims abstract description 16
- 238000012545 processing Methods 0.000 claims abstract description 38
- 230000001360 synchronised effect Effects 0.000 claims abstract description 13
- 238000005070 sampling Methods 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 238000012360 testing method Methods 0.000 claims abstract description 9
- 230000011664 signaling Effects 0.000 claims abstract description 3
- 238000004891 communication Methods 0.000 claims description 9
- 238000009434 installation Methods 0.000 claims description 9
- 238000001914 filtration Methods 0.000 claims description 5
- 238000000034 method Methods 0.000 description 12
- 238000003909 pattern recognition Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
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- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
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- 238000005859 coupling reaction Methods 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000002594 sorbent Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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Abstract
The utility model provides a kind of system for gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring, comprises several for detecting the first uhf sensor of local discharge signal, several second uhf sensors for testing environment electromagnetic noise, several synchronous voltage signal sampling detectors, several data processing units, an industrial ethernet switch and a monitoring host computer; Described data processing unit is connected by analog signaling with the first uhf sensor, the second uhf sensor, synchronous voltage signal sampling detector, realizes the collection of all signals; Data processing unit, to be connected by bus mode between industrial ethernet switch with monitoring host computer.The partial discharge monitoring system that the utility model relates to has the advantages such as detection is sensitive, fault recognition rate is high, rich display information, can realize effective monitoring of GIS partial discharge, for the safe operation of GIS provides reliable guarantee.
Description
Technical field
The utility model relates to a kind of partial discharge monitoring system, particularly a kind of system being used for gas insulated metal enclosed swit chgear (GIS) insulation defect partial discharge monitoring.
Background technology
Gas-insulating and fully-enclosed formula combined electrical apparatus (Gas-Insulated metal-enclosed switchgear, be called for short GIS) isolating switch, disconnector, grounding switch, current transformer, voltage transformer (VT), lightning arrester, bus and outlet casing tube etc. are combined, high-voltage charged body is sealed in the canister of the SF6 gas-insulated medium being full of 0.3 ~ 0.4MPa.Therefore, compare with traditional open type high-voltage power distribution equipment, its structure closely, the floor area of whole device greatly reduces, and not by the impact of external environment, operational reliability is high, and the time between overhauls(TBO) is long, so GIS is widely applied, especially apply more general in transformer substation in city.
Due to GIS have complex structure, workmanship requirement high, totally-enclosed, the features such as very meticulous are required to maintenance craft, once go wrong, its power failure coverage is comparatively large, and then can have influence on the safe operation of electric system.Therefore, before GIS breaks down, if can detect and judge internal defects state, thus the maintenance that realizes a plan, just seem extremely important.In the GIS fault of current generation, insulation defect fault is its major failure, therefore can know the health status of GIS by detecting insulation defect shelf depreciation, thus provide reliable basis, for its safe operation provides safeguard for GIS overhauls.
The method of carrying out detecting for GIS insulation defect shelf depreciation at present mainly contains: (1) pulse current method, the method needs high-quality high-voltage power supply and coupling condenser, usually use in GIS delivery test, application affects comparatively large by electromagnetic noise at the scene, and sensitivity is low; (2) chemical measure, the method decomposes the SOF produced by on-line analysis SF6
2and SO
2f
2concentration, judges the internal discharge order of severity, but the impact of the method sorbent suspension, drying agent and breaker actuation, accuracy is poor; (3) supercritical ultrasonics technology, the vibratory impulse that the method produces by detecting electric discharge, thus diagnosis shelf depreciation, effect is better, but it is more suitable for Portable belt electro-detection; (4) ultrahigh frequency method is current main stream approach, is detected and puts an electromagnetic wave produced, thus judge electric discharge type and the order of severity by built-in or external uhf sensor.But on-line monitoring system also imperfect at present.In order to improve the intelligent level of GIS, for its state estimation and maintenance provide reliable basis, be badly in need of that development is a kind of online in real time, accurately can be detected Partial discharge signal and carry out the on-line monitoring system of Fault Pattern Recognition.
Utility model content
Technical problem to be solved in the utility model is to provide a kind of system of the insulation defect partial discharge monitoring for gas insulated metal enclosed swit chgear, realizes the accurate detection to gas insulated metal enclosed swit chgear insulation defect shelf depreciation.
For solving above technical matters, the utility model by the following technical solutions:
For a system for gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring, comprise several for detecting the first uhf sensor of local discharge signal, several second uhf sensors for testing environment electromagnetic noise, several synchronous voltage signal sampling detectors, several data processing units, an industrial ethernet switch and a monitoring host computer; Described data processing unit is connected by analog signaling with the first uhf sensor, the second uhf sensor, synchronous voltage signal sampling detector, realizes the collection of all signals; Data processing unit, to be connected by bus mode between industrial ethernet switch with monitoring host computer.
The first described uhf sensor is that built-in installation or external are installed; when adopting built-in installation; described first uhf sensor inside is containing overvoltage protection device; when adopting external to install, described first uhf sensor is arranged on insulating basin and installation site without metal screen layer.
Described second uhf sensor and multiple first sensor belonging to one section of cylindrical shell are one group, are connected on a data processing unit simultaneously.
Described each data processing unit can access at most seven the first uhf sensors, second uhf sensor and a synchronous voltage signal sampling detector simultaneously.
Described data processing unit comprises mixing detection unit, filter unit, high-speed data acquisition unit, data processing unit, communication unit, wherein high-speed data acquisition unit adopts FPGA to realize, data processing module is realized by DSP, and communication module is realized by arm processor.
Described control tape pass filtering module is made up of 6 low-pass filters and 6 Hi-pass filters.
Connection bus between described data processing unit and industrial ethernet switch, monitoring host computer is industrial real-time ethernet.
The maximum quantity of a described monitoring host computer connection data processing unit is 32.
The utility model is used for gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring and at least has the following advantages: the electromagnetic wave signal that the utility model detects shelf depreciation generation based on ultrahigh frequency method detects shelf depreciation, highly sensitive, not easily produce erroneous judgement, fail to judge; The utility model can realize real-time, the on-line checkingi of gas insulated metal enclosed swit chgear insulation defect shelf depreciation.
Accompanying drawing explanation
Fig. 1 is the system construction drawing of the utility model for gas insulated metal enclosed swit chgear (GIS) insulation defect partial discharge monitoring;
Fig. 2 is the theory of constitution block diagram of data processing unit;
Fig. 3 is the composition structural drawing of on-line analysis software.
Embodiment
Below in conjunction with accompanying drawing, the utility model on-line monitoring system is described in detail:
Refer to shown in Fig. 1, the utility model provides a kind of system of the GIS partial discharge on-line monitoring based on ultrahigh frequency method, comprise the first ultrahigh frequency (UHF) sensor 1 for detecting local discharge signal, the second type UHF sensor 2, synchronous voltage signal sampling detector 3, data processing unit 4, industrial ethernet switch 5 for testing environment electromagnetic noise, and monitoring host computer 6.Wherein, data processing unit 4 with detect the type UHF sensor 1 of Partial discharge signal, the type UHF sensor 2 of detection noise, synchronous voltage signal sampling detector 3 be connected by simulating signal, realizes the collection of all signals; Data processing unit 4, to be connected by bus mode between industrial ethernet switch 5 with monitoring host computer 6, to realize the biography down with control command of uploading of local discharge signal characteristic parameter.
The described type UHF sensor 1 for detecting local discharge signal can be that built-in installation or external are installed; Generally, namely built-in being arranged in gas insulated metal enclosed swit chgear (GIS) manufacture process install, and built-in ultrahigh frequency (UHF) sensor contains overvoltage protection device, and excessive the generation data processing unit of anti-stop signal is damaged; External uhf sensor can be installed according to actual conditions at the scene, is generally installed on insulating basin, and installation position should without metal screen layer.
The described type UHF sensor 2 for testing environment electromagnetic noise, general selection and multiple type UHF sensor belonging to the detection local discharge signal of one section of cylindrical shell are one group, be connected on a data processing unit simultaneously, for realizing the detection of environment electromagnetic noise, effectively can eliminate the erroneous judgement because environment electromagnetic noise causes, its testing result makes reference for arranging noise threshold.
Described synchronous voltage signal sampling detector 3, general selection is drawn by a certain phase voltage mutual inductor of three-phase voltage, and put pulse signal phase place for playing a game and identify, a data processing unit connects a synchronous voltage signal; The synchronizing signal of all data processing units of same GIS should be consistent.
Described each data processing unit 4 can access at most seven for detecting the type UHF sensor of local discharge signal, a type UHF sensor for testing environment electromagnetic noise and a synchronous voltage signal sampling detector simultaneously.
Described data processing unit, connection bus between industrial ethernet switch and monitoring host computer are industrial real-time ethernet.
With reference to shown in Fig. 2, data processing unit 4 is made up of mixing detection amplification module, control tape pass filtering module, high-Speed Data-Acquisition Module, Digital data processing module, data memory module, communication module and power module.
Wherein, control tape pass filtering module is made up of 6 low-pass filters and 6 Hi-pass filters, by selecting different low-pass filters and Hi-pass filter can form 36 kinds of bandpass filter, thus effectively eliminates the electromagnetic noise interference of external environment generation.Under normal circumstances, the neighbourhood noise uhf sensor obtained by data processing unit provides the primary frequency range of noise, for operations staff's reference.
High-Speed Data-Acquisition Module adopts FPGA to complete control and the data transmission of high-speed AD, thus the high speed acquisition that can realize ultra-high frequency signal, Digital data processing module adopts 6000 serial high-end DSP of TI company as core processor, receive the data from high-Speed Data-Acquisition Module, and then the feature of pulse is put in acquisition office: the information such as impulse phase, pulse amplitude, is sent to monitoring host computer by result by communication module simultaneously.Data memory module adopts Large Copacity FRAM to realize, and stores 100 groups of up-to-date offices and puts pulse raw data, when monitoring host computer needs this raw data, be sent to monitoring host computer.Communication module adopts 32 arm processors to realize, and mainly completes contacting alternately between monitoring host computer, realizes the communication management function of industrial real-time ethernet.
With reference to shown in Fig. 3, the workflow of monitoring host computer is as follows:
The bottom for real-time communication module, mainly through industrial Ethernet bus, pulse characteristic information is put in the office that all data processing units connected of real-time reception are uploaded, and is stored in historical data base according to the sensor ID of correspondence.Start statistical nature computing function simultaneously, in order to improve the renewal rate of final spectrogram and Fault Pattern Recognition, from historical data base, transfer the owning administration that in nearest 10 seconds, this sensor obtains puts pulse characteristics to statistical nature computing module simultaneously, thus obtain, about the statistical value of discharge phase, electric discharge amplitude and discharge time, result being stored in historical data base simultaneously.
Fault collection of illustrative plates drafting module, according to the result that statistical nature computing module obtains, draw discharge phase-discharge time, electric discharge amplitude-discharge time, discharge phase-two-dimentional spectrogram of electric discharge amplitude three kinds, the three-dimensional spectrum of discharge phase-electric discharge amplitude-discharge time and two dimensional gray figure, thus be convenient to operations staff's Real Time Observation discharged condition.
Fault Pattern Recognition module, from historical data base, the statistical characteristics of pulse is put in the office of acquisition on the one hand, calculates the graphic feature of all kinds of collection of illustrative plates obtained on the other hand further, thus carries out Fault Pattern Recognition.Method of fault pattern recognition can adopt many algorithms to realize, and as adopted the mode of support vector machine to realize, its model carries out training by the sample transferred in fault sample database and obtains.Samples sources in fault sample database mainly contains two, one be outside add by all kinds of test and the authenticated fault diagnosis example of other system, another is that native system detects the fault obtained, automatically store as fault sample after operations staff confirms, thus enrich fault sample database, for later Fault Pattern Recognition lays the foundation.
The utility model gas insulated metal enclosed swit chgear (GIS) insulation defect partial discharge monitoring system, based on ultrahigh frequency method, in conjunction with advanced software and hardware analytical technology, realize the on-line real time monitoring to shelf depreciation, accurate, real-time judgement can be provided for the insulation fault of GIS, thus the power outage significantly reduced because insulation fault causes, the reliability of electric power system can be increased substantially, realize condition monitoring and the repair based on condition of component of main equipment.
The foregoing is only a kind of embodiment of the present utility model, it not whole or unique embodiment, the conversion of those of ordinary skill in the art by reading the utility model instructions to any equivalence that technical solutions of the utility model are taked, is claim of the present utility model and contains.
Claims (4)
1. for a system for gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring, it is characterized in that: comprise several for detecting first uhf sensor (1) of local discharge signal, several second uhf sensors (2) for testing environment electromagnetic noise, several synchronous voltage signal sampling detectors (3), several data processing units (4), an industrial ethernet switch (5) and a monitoring host computer (6); Described data processing unit (4) is connected by analog signaling with the first uhf sensor (1), the second uhf sensor (2), synchronous voltage signal sampling detector (3), realizes the collection of all signals; Data processing unit (4), to be connected by bus mode between industrial ethernet switch (5) with monitoring host computer (6); Described the first uhf sensor (1) is built-in installation or external installation, when adopting built-in installation, described first uhf sensor inside is containing overvoltage protection device, when adopting external to install, described first uhf sensor is arranged on insulating basin and installation site without metal screen layer; Described data processing unit (4) comprises mixing detection amplifying unit, control tape pass filtering module, high-speed data acquisition unit, data processing module, communication unit, wherein high-speed data acquisition unit adopts FPGA to realize, data processing module is realized by DSP, and communication module is realized by arm processor; Described second uhf sensor and multiple the first uhf sensor belonging to one section of cylindrical shell are one group, are connected on a data processing unit simultaneously; Described control tape pass filtering module is made up of 6 low-pass filters and 6 Hi-pass filters.
2. the system as claimed in claim 1, is characterized in that: described each data processing unit (4) can access at most seven the first uhf sensors (1), second uhf sensor (2) and a synchronous voltage signal sampling detector (3) simultaneously.
3. the system as claimed in claim 1, is characterized in that: the connection bus between described data processing unit (4) and industrial ethernet switch (5), monitoring host computer (6) is industrial real-time ethernet.
4. the system as claimed in claim 1, is characterized in that: the maximum quantity of a described monitoring host computer (6) connection data processing unit (4) is 32.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201320825858.2U CN204044292U (en) | 2013-12-13 | 2013-12-13 | For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring |
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| CN201320825858.2U CN204044292U (en) | 2013-12-13 | 2013-12-13 | For the system of gas insulated metal enclosed swit chgear insulation defect partial discharge monitoring |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104569764A (en) * | 2015-01-06 | 2015-04-29 | 国家电网公司 | Live detection system for creeping discharge of composite apparatus and method thereof |
| CN105891685A (en) * | 2016-03-31 | 2016-08-24 | 国网天津市电力公司 | All-weather ultrasonic state monitoring device for substation equipment |
| CN107290583A (en) * | 2017-07-12 | 2017-10-24 | 国网江西省电力公司电力科学研究院 | A kind of transformer high frequency partial electric discharge and power-frequency earthing electric current monitoring device combining |
| CN108107328A (en) * | 2017-12-28 | 2018-06-01 | 国网上海节能服务有限公司 | A kind of transformer substation monitoring system |
| CN108680841A (en) * | 2018-06-26 | 2018-10-19 | 广西电网有限责任公司电力科学研究院 | A kind of Operation Condition of Power Transformers comprehensive monitor system |
| CN109917247A (en) * | 2019-03-28 | 2019-06-21 | 珠海市伊特高科技有限公司 | A kind of GIS ultrahigh frequency local discharge on-line monitoring device and method using accumulative PRPD technology |
| CN110596544A (en) * | 2019-09-04 | 2019-12-20 | 国网四川省电力公司电力科学研究院 | Partial discharge test platform under power cable frequency conversion series resonance |
| CN112415342A (en) * | 2020-11-04 | 2021-02-26 | 广西电网有限责任公司桂林供电局 | Intermediate joint system and partial discharge monitoring method |
| CN113340357A (en) * | 2021-07-05 | 2021-09-03 | 山东国稳电气有限公司 | GIS equipment state on-line monitoring system |
-
2013
- 2013-12-13 CN CN201320825858.2U patent/CN204044292U/en not_active Expired - Lifetime
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104569764A (en) * | 2015-01-06 | 2015-04-29 | 国家电网公司 | Live detection system for creeping discharge of composite apparatus and method thereof |
| CN105891685A (en) * | 2016-03-31 | 2016-08-24 | 国网天津市电力公司 | All-weather ultrasonic state monitoring device for substation equipment |
| CN107290583A (en) * | 2017-07-12 | 2017-10-24 | 国网江西省电力公司电力科学研究院 | A kind of transformer high frequency partial electric discharge and power-frequency earthing electric current monitoring device combining |
| CN108107328A (en) * | 2017-12-28 | 2018-06-01 | 国网上海节能服务有限公司 | A kind of transformer substation monitoring system |
| CN108680841A (en) * | 2018-06-26 | 2018-10-19 | 广西电网有限责任公司电力科学研究院 | A kind of Operation Condition of Power Transformers comprehensive monitor system |
| CN109917247A (en) * | 2019-03-28 | 2019-06-21 | 珠海市伊特高科技有限公司 | A kind of GIS ultrahigh frequency local discharge on-line monitoring device and method using accumulative PRPD technology |
| CN110596544A (en) * | 2019-09-04 | 2019-12-20 | 国网四川省电力公司电力科学研究院 | Partial discharge test platform under power cable frequency conversion series resonance |
| CN110596544B (en) * | 2019-09-04 | 2022-02-11 | 国网四川省电力公司电力科学研究院 | Partial discharge test platform under power cable frequency conversion series resonance |
| CN112415342A (en) * | 2020-11-04 | 2021-02-26 | 广西电网有限责任公司桂林供电局 | Intermediate joint system and partial discharge monitoring method |
| CN113340357A (en) * | 2021-07-05 | 2021-09-03 | 山东国稳电气有限公司 | GIS equipment state on-line monitoring system |
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Granted publication date: 20141224 |