CN202939265U - Vehicle-mounted transformer substation partial discharge positioning system - Google Patents
Vehicle-mounted transformer substation partial discharge positioning system Download PDFInfo
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- CN202939265U CN202939265U CN 201220534601 CN201220534601U CN202939265U CN 202939265 U CN202939265 U CN 202939265U CN 201220534601 CN201220534601 CN 201220534601 CN 201220534601 U CN201220534601 U CN 201220534601U CN 202939265 U CN202939265 U CN 202939265U
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- positioning system
- transformer station
- shelf depreciation
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- partial discharge
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- 238000004458 analytical method Methods 0.000 abstract description 7
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Abstract
The utility model provides a vehicle-mounted transformer substation partial discharge positioning system. Four radio frequency electromagnetic wave sensors are installed on a vehicle to receive electromagnetic wave signals emitted by partial discharge points, signal conditioning circuits carry out amplifying and filtering processing on the received signals, a high speed sampling unit carries out synchronous acquisition on four paths of output signals, data is outputted to a data processing and analysis unit to calculate start times that four radio frequency omnidirectional sensors receive ultra high frequency signals radiated by a same discharge source in real time, equations are listed based on a time difference of the received four signals, a direction angle and a radial distance of a discharge signal are solved, and the positioning is realized. The system can carry out partial discharge detection and positioning on all high voltage equipment in a transformer substation is facilitated, the cost of equipment partial discharge detection is greatly reduced, early and timely discovery of defects when inspecting the transformer substation equipment is facilitated, accidents and times of power cut and maintenance are reduced, and the reliability and intelligent levels of the operation of transformer substation are raised.
Description
Technical field
The utility model belongs to high voltage electric power equip ment insulating monitoring technical field, is specifically related to a kind of vehicular transformer station shelf depreciation positioning system.
Background technology
Insulation fault is power equipment one of the modal fault that is in operation.Generally, power equipment has a shelf depreciation process of development gradually before insulation fault occurs, and the aggravation along with discharge finally causes insulation breakdown.If can carry out detection and diagnosis to operational outfit in the shelf depreciation process, in time find local discharge signal, and to the location of Partial Discharge Sources, early defective is processed, just can effectively avoid the generation of Fault of Insulating Breakdown, and formulate and overhaul targetedly processing scheme, to reduce power off time, improve overhaul efficiency.
Shelf depreciation can be passed through the several different methods such as ultrasound wave, electric parameter constant and uhf electromagnetic wave and detect, and these methods all can be used to make-game and put the location, source.Electromagnetic Wave Method is a kind of new method of Partial Discharge Detection in recent years, can give off the broadband electromagnetic wave signal in the process of power equipment generation shelf depreciation, the method utilizes in radio frequency sensor received RF frequency range that (0～800MHz) signal detects shelf depreciation, due to the approximate light velocity of the aerial velocity of propagation of electromagnetic wave, the position that can be used for calculating Partial Discharge Sources.
Both at home and abroad at present for the Partial Discharge Detection of substation equipment and location mainly for GIS the concrete single equipments such as isolating switch, transformer carry out.And partial discharges fault all may occur in any high voltage electric power equip ment in transformer station, want an electrical equipment at full station is implemented monitoring, just need on each equipment, partial discharge monitoring device be installed, required expense is high, the service efficiency of monitoring system is also low, and also very large to the maintenance workload of numerous on-Line Monitor Device itself.
The utility model content
The utility model provides a kind of vehicular transformer station shelf depreciation positioning system, and cost is low, efficient is high, has reduced the generation of accident and the time of interruption maintenance, thereby improves reliability and the intelligent level of substation operation.
In order to achieve the above object, the utility model provides a kind of vehicular transformer station shelf depreciation positioning system, it is characterized in that, this system comprises the radio frequency omnidirectional sensor that is arranged on roof, the signal conditioning circuit of the described radio frequency of difference circuit connection omnidirectional sensor, circuit connects the high-speed data sampling unit of described signal conditioning circuit, and circuit connects data processing and the analytic unit of described high-speed data sampling unit.
This vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
The described radio frequency sensor employing UHF of omnidirectional antenna sensor.
Described signal conditioning circuit adopts prime amplifier.
Described high-speed data sampling unit adopts the high-speed oscilloscope with memory function.
Described data are processed and analytic unit adopts computing machine.
Described signal conditioning circuit is connected the RF coaxial shielded cable to connect with the high-speed data sampling unit.
The utility model changes the conventional way of in the past individual equipment being installed on-Line Monitor Device, the electromagnetic wave signal that the discharge of 4 sections of radio-frequency electromagnetic wave sensor office of acceptance is sent is installed on automobile, overlap movably with one pick-up unit carries out the detection of shelf depreciation to full station equipment, point out Partial Discharge Sources place direction and calculate its distance, realization is carried out plane positioning to the discharge signal at the full station of whole transformer station, thereby determines to produce equipment or the part of appliance of discharge based on the planimetric position.Can at first roughly select defective equipment or part of appliance by this device, determine analyse in depth again and locate after it has had defective and failure risk, have the advantages that cost is low, efficient is high, the utility model can carry out Partial Discharge Detection and location to all high-tension apparatuses in transformer station, greatly reduce the cost that apparatus local discharge detects, find early defective when helping to patrol and examine substation equipment, the generation of minimizing accident and the time of interruption maintenance, thereby reliability and the intelligent level of raising substation operation.
Description of drawings
Fig. 1 is structural representation of the present utility model;
Fig. 2 is workflow diagram of the present utility model;
Fig. 3 is sample waveform figure of the present utility model;
Fig. 4 is that the utility model contains noisy signal waveforms;
Fig. 5 is the signal waveforms after the utility model denoising;
Fig. 6 is that the utility model is at the coordinate schematic diagram of laboratory proofing;
Fig. 7 is the coordinate schematic diagram that the utility model is verified at the scene.
Embodiment
Following according to Fig. 1～Fig. 7, illustrate preferred embodiment of the present utility model.
As shown in Figure 1, the utility model provides a kind of vehicular transformer station shelf depreciation positioning system, this system comprises 4 radio frequency omnidirectional sensors 1 that are arranged on roof, four signal conditioning circuits 2 of the described radio frequency of difference circuit connection omnidirectional sensor 1, circuit connects the high-speed data sampling unit 3 of described signal conditioning circuit 2, and circuit connects data processing and the analytic unit 4 of described high-speed data sampling unit 3.
This vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
Described radio frequency omnidirectional sensor 1 adopts the UHF antenna sensor, described signal conditioning circuit 2 adopts prime amplifier, the high-speed oscilloscope that described high-speed data sampling unit 3 adopts with memory function, described data are processed and analytic unit 4 adopts computing machines, and described signal conditioning circuit 2 is connected with the high-speed data sampling unit and is adopted the connection of RF coaxial shielded cable.
described radio frequency omnidirectional sensor 1 receives the electromagnetic wave that transformer station's shelf depreciation excites, and amplified and the processing such as filtering by 2 pairs of received signals of signal conditioning circuit, transfer to high-speed data sampling unit 3 through the RF coaxial shielded cable, 3 pairs of 4 tunnel output signals of high-speed data sampling unit are carried out synchronous acquisition, the sample frequency on every road〉2GS/s, and data are outputed to data processing and analytic unit 4, data are processed and analytic unit 4 calculates according to 4 circuit-switched data that collect the initial time that 4 radio frequency omnidirectional sensor 1 same discharge source of reception give off ultra-high frequency signal in real time, based on the mistiming of 4 road signals that receive, list system of equations, find the solution deflection and the radial distance of discharge signal, thereby realize the location.
As shown in Figure 2, workflow of the present utility model is as follows:
Radio frequency omnidirectional sensor 1 receives the electromagnetic wave signal that transformer station's shelf depreciation produces;
3 pairs of 4 tunnel output signals of high-speed data sampling unit are carried out synchronous acquisition, every channel sample frequency〉2GS/s; The waveform that collects as shown in Figure 3;
Step 4, signal de-noising;
Data are processed and analytic unit 4 adopts wavelet analysis method to carry out noise reduction to the waveform signal that collects;
Because the electromagnetic noise in transformer station (disturbing as radio narrow band cycle such as white noise and broadcasting, carrier signals) is more, the signal that collects is often polluted, be difficult to analyze accurately and process, adopt wavelet analysis method to carry out noise reduction to the waveform signal that collects, can effectively remove the ground unrest in signal;
Signal
Continuous wavelet transform be
, wherein:
Be scale factor;
Be respectively shift factor and time variable, be continuous variable;
Be female small echo,
Be its complex conjugate; Choose the many Bei Xi of Daubechies() tight support orthogonal wavelet is as female small echo, signal is carried out 8 layers of wavelet transformation, and the noise segment threshold value in employing staging treating thought Dynamic Selection signal, with its threshold value as the signal Wavelet Denoising Method, can effectively remove the ground unrest in signal;
Contain noisy signal as shown in Figure 4, the signal that obtains after the denoising of process wavelet analysis method as shown in Figure 5;
Step 5.1, utilize threshold method to determine for 4 tunnel moment corresponding to signal waveform point of inflexion on a curve, as the initial time of radio frequency electromagnetic signal;
Step 5.2, determine mistiming of each road signal initial time:
Wherein,
Be the flex point moment of respective signal squiggle;
Step 5.3, determine the range difference of four sensors and point of discharge:
Set up rectangular coordinate system in sensor plane, suppose that the position of four sensors is respectively in plane coordinate system
,
,
With
, spark location is
, the distance of point of discharge to four sensor is respectively
,
,
,
, alternate position spike is respectively:
Wherein,
,
Be propagation velocity of electromagnetic wave,
Be spark location coordinate undetermined;
Step 5.4, set up the equation about spark location:
According to cartesian geometry knowledge, point of discharge is to the range difference between every 2 sensors
Can determine that a list props up hyperbolic curve, therefore, set up rectangular coordinate system take the sensor array center as initial point, can determine point of discharge place quadrant by 4 time delays positive and negative, and can obtain Hyperbolic Equation, simultaneous can get Nonlinear System of Equations:
Wherein,
,
,
Be the hyperbolic curve focal length, can obtain according to sensor array size;
Step 6, data processing and analytic unit 4 are found the solution the position equation group based on the time difference, calculate spark location, and obtain position angle and the radial distance of Partial Discharge Sources;
The employing Newton iteration method is found the solution the Nonlinear System of Equations based on the time difference:
Simultaneous is about discharge position
Nonlinear equation (3), (4), can obtain the binary quadratic equation group, write as
Form, wherein
,
If
For an approximate solution of system of equations, right
Have:
Being write as vector form is:
Wherein,
For
Matrix exists
The value at place; If
Value is the root of system of equations (7)
, namely
, wushu (8) right-hand member is
Vector
Approximate value as new is designated as
, namely have:
（10）
Formula (10) is the iterative formula of Newton Algorithm Nonlinear System of Equations;
In like manner, the binary quadratic equation group that obtains of simultaneous nonlinear equation (5), (6) can utilize said method to find the solution equally;
By above-mentioned iteration, convergence point can be thought the coordinate of point of discharge in default plane right-angle coordinate
, and then obtain its deflection and radial distance;
Deflection
(11)
Radial distance
(12)
When using Newton iteration method to find the solution Nonlinear System of Equations, if choose suitable iterative initial value, can effectively improve arithmetic speed, shorten operation time, utilize hyperbolic curve with these characteristics of its asymptotic line of limitless nearness, under the prerequisite of known point of discharge place quadrant, ask for corresponding two lists and prop up hyp asymptotic line intersection point, and with this as iterative initial value, can make this initial value to a certain extent as far as possible near solution of equations, thereby improve the efficient of iteration.
Lab investigation and checking
This localization method of simulating, verifying in the laboratory is placed in antenna sensor on rectangular four summits, and the position is as shown in the some A in Fig. 6, B, C, D; Simulation discharge source P point position is
, definition x axle positive dirction is 0 °, P deflection and the radial distance of ordering is respectively 70.82 ° and 2.435m.Utilized bandwidth is 2GHz, and sampling rate is that the high-speed figure oscillograph of 5GS/s carries out signals collecting, uses the bandwidth of antenna sensor to be 200MHz～6GHz.Use above-mentioned localization method, the XY plane positioning result that obtains is
, corresponding its deflection and radial distance are 70.82 ° and 2.437m.
According to the XY plane positioning result that calculates, and can find after the position versus of simulation discharge source P, under laboratory environment, the bearing accuracy of this method is higher, and positioning result has higher reliability.
The rig-site utilization checking
Be checking native system and the detection effect of related positioning method under the substation field strong interference environment, carried out the testing experiment of system in certain 500kV transformer station, the UHF antenna sensor is arranged on the support of car roof, the coordinate of aft antenna is installed as shown in Figure 7, and is utilized the simulation discharge to verify.Oscillograph collects the uhf electromagnetic wave signal data that discharge source is sent, calculate through system's Treatment Analysis and localization method, the deflection in orientation discharge source is 65.93 ° as a result, radial distance is 6.45m, the true directions angle of realistic simulation discharge source is about 64.78 °, and radial distance is about 6.70 meters, and the testing result error is smaller, substantially determined the planimetric position of discharge source, bearing accuracy satisfies entirely the stand requirement of Partial Discharge Detection of transformer station.
A kind of vehicular transformer station's shelf depreciation positioning system and localization method thereof that the utility model provides can be completed testing in the substation field moving process.Comprise that for transformer station GIS outlet casing tube, transformer high-voltage bushing, SF6 isolating switch, mutual inductor, capacitor, lightning arrester and insulator etc. are at interior all kinds of power transmission and transformation primary equipments, positioning system receives it by radio frequency sensor and occurs before insulation fault, the electromagnetic wave signal that shelf depreciation excites occuring, it is carried out the detection under electriferous state and researchs and analyses, thereby realize the location of Partial Discharge Sources and the diagnosis of shelf depreciation.The deflection of Partial Discharge Sources and radial distance can help the tester to investigate fast the fault occurrence positions in movable type detects, and use convenient succinct.
Although content of the present utility model has been done detailed introduction by above preferred embodiment, will be appreciated that above-mentioned description should not be considered to restriction of the present utility model.After those skilled in the art have read foregoing, for multiple modification of the present utility model with to substitute will be all apparent.Therefore, protection domain of the present utility model should be limited to the appended claims.
Claims (7)
1. vehicular transformer station shelf depreciation positioning system, it is characterized in that, this system comprises the radio frequency omnidirectional's sensor (1) that is arranged on roof, circuit connects the signal conditioning circuit (2) of described radio frequency omnidirectional's sensor (1) respectively, circuit connects the high-speed data sampling unit (3) of described signal conditioning circuit (2), and circuit connects data processing and the analytic unit (4) of described high-speed data sampling unit (3).
2. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, this vehicular transformer station shelf depreciation positioning system also comprises the power supply that circuit respectively connects above-mentioned parts.
3. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, described radio frequency omnidirectional's sensor (1) adopts the UHF antenna sensor.
4. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, described signal conditioning circuit (2) adopts prime amplifier.
5. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, described high-speed data sampling unit (3) adopts the high-speed oscilloscope with memory function.
6. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, described data are processed and analytic unit (4) employing computing machine.
7. vehicular as claimed in claim 1 transformer station shelf depreciation positioning system, is characterized in that, described signal conditioning circuit (2) is connected 3 with the high-speed data sampling unit) adopt the RF coaxial shielded cable to connect.
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| CN 201220534601 CN202939265U (en) | 2012-10-19 | 2012-10-19 | Vehicle-mounted transformer substation partial discharge positioning system |
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| CN 201220534601 CN202939265U (en) | 2012-10-19 | 2012-10-19 | Vehicle-mounted transformer substation partial discharge positioning system |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866334A (en) * | 2012-10-19 | 2013-01-09 | 上海市电力公司 | Vehicle-mounted local discharge locating system for mobile substation and locating method thereof |
| CN103424675A (en) * | 2013-08-21 | 2013-12-04 | 国家电网公司 | Ultrahigh frequency antenna array partial discharge detection system |
| CN103592584A (en) * | 2013-11-19 | 2014-02-19 | 国家电网公司 | Substation discharging source locating method based on electromagnetic wave detection |
| CN103823164A (en) * | 2014-01-15 | 2014-05-28 | 云南电力试验研究院（集团）有限公司电力研究院 | Ultra-high frequency non-contact partial discharge positioning detecting device and positioning algorithm |
| CN110763967A (en) * | 2019-11-28 | 2020-02-07 | 上海昌鹭智能技术有限公司 | Open-type substation partial discharge on-line monitoring system |
| CN113406453A (en) * | 2021-06-30 | 2021-09-17 | 平顶山学院 | MCU-based PRPD/PRPS map data processing method and detection device |
-
2012
- 2012-10-19 CN CN 201220534601 patent/CN202939265U/en not_active Expired - Lifetime
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102866334A (en) * | 2012-10-19 | 2013-01-09 | 上海市电力公司 | Vehicle-mounted local discharge locating system for mobile substation and locating method thereof |
| CN103424675A (en) * | 2013-08-21 | 2013-12-04 | 国家电网公司 | Ultrahigh frequency antenna array partial discharge detection system |
| CN103592584A (en) * | 2013-11-19 | 2014-02-19 | 国家电网公司 | Substation discharging source locating method based on electromagnetic wave detection |
| CN103592584B (en) * | 2013-11-19 | 2016-02-10 | 国家电网公司 | A kind of transformer station's discharge source localization method based on Electromagnetic Wave Detection |
| CN103823164A (en) * | 2014-01-15 | 2014-05-28 | 云南电力试验研究院（集团）有限公司电力研究院 | Ultra-high frequency non-contact partial discharge positioning detecting device and positioning algorithm |
| CN110763967A (en) * | 2019-11-28 | 2020-02-07 | 上海昌鹭智能技术有限公司 | Open-type substation partial discharge on-line monitoring system |
| CN113406453A (en) * | 2021-06-30 | 2021-09-17 | 平顶山学院 | MCU-based PRPD/PRPS map data processing method and detection device |
| CN113406453B (en) * | 2021-06-30 | 2023-06-23 | 平顶山学院 | PRPD/PRPS map data processing method and detection device based on MCU |
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