CN114660424A - GIS equipment partial discharge detection diagnostic system - Google Patents
GIS equipment partial discharge detection diagnostic system Download PDFInfo
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- CN114660424A CN114660424A CN202210315612.4A CN202210315612A CN114660424A CN 114660424 A CN114660424 A CN 114660424A CN 202210315612 A CN202210315612 A CN 202210315612A CN 114660424 A CN114660424 A CN 114660424A
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- 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
- G01R31/1254—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 of gas-insulated power appliances or vacuum gaps
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Abstract
The invention relates to a GIS equipment partial discharge detection and diagnosis system, which comprises a plurality of detection devices, a plurality of monitoring units, a central monitoring unit and a fault diagnosis unit; the detection equipment is used for acquiring and sending detection data to the monitoring unit; the monitoring unit is used for starting the detection equipment according to a monitoring command and submitting received detection data to the fault diagnosis unit; the fault diagnosis unit is used for carrying out fault study and judgment according to the detection data and sending study and judgment results to the central monitoring unit; the central monitoring unit is used for issuing a monitoring command to the monitoring unit according to the studying and judging result.
Description
Technical Field
The invention relates to a GIS equipment partial discharge detection and diagnosis system, and belongs to the field of GIS equipment partial discharge detection.
Background
The gas insulated fully-closed combined electrical equipment (GIS equipment) is formed from circuit breaker, isolating switch, grounding switch, mutual inductor, lightning arrester, bus, connecting component and wire-outlet terminal, etc. these equipments or components are completely closed in the metal grounded shell, and the interior of said metal grounded shell is filled with SF6 insulating gas with a certain pressure, so that it is also called SF6 fully-closed combined electrical equipment. The fully sealed structure of the GIS makes the fault location and maintenance difficult and the maintenance work is complicated. And carrying out partial discharge detection on the GIS equipment, wherein the detection result can reflect the insulation state of the GIS equipment. Partial discharge is a kind of pulse discharge, which can generate a series of physical phenomena and chemical changes such as light, sound, electrical and mechanical vibration in the inside and surrounding space of the GIS device.
In the prior art, physical phenomena and chemical changes are detected by methods such as SF6 gas decomposition product detection technology, ultrasonic detection technology or suspension potential detection technology, and then manual analysis and judgment are performed by combining signal characteristics and a typical map. The problems of single detection mode, large time and energy occupation of manual comparison, and easy occurrence of missed judgment, erroneous judgment and the like depending on the experience and on-site judgment of professionals exist
Therefore, an automatic partial discharge detection method with high accuracy is still lacking.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention designs a GIS equipment partial discharge detection and diagnosis system, which realizes GIS equipment discharge full-type detection by using ultrahigh frequency detection equipment, ultrasonic detection equipment, SF6 decomposition product detection equipment and SF6 purity detection equipment, and prevents missed detection and missed judgment of certain special discharge types.
In order to achieve the purpose, the invention adopts the following technical scheme:
a GIS device partial discharge detection diagnostic system is characterized by comprising: the system comprises a plurality of detection devices, a plurality of monitoring units, a central monitoring unit and a fault diagnosis unit;
the detection equipment is used for acquiring and sending detection data to the monitoring unit;
the monitoring unit is used for starting the detection equipment according to a monitoring command and submitting received detection data to the fault diagnosis unit;
the fault diagnosis unit is used for carrying out fault study and judgment according to the detection data and sending study and judgment results to the central monitoring unit;
and the central monitoring unit is used for issuing a monitoring command to the monitoring unit according to the study and judgment result.
Further, the plurality of detection devices comprise an ultrahigh frequency detection device, an ultrasonic detection device, an SF6 decomposition product detection device and an SF6 purity detection device.
Furthermore, the monitoring unit converts the detection data which adopts different format protocols and is unsynchronized in clock into the detection data with uniform format and uniform clock, and then sends the detection data to the fault diagnosis unit.
Furthermore, a neural network used for classifying a plurality of detection data into interference data and non-interference data is arranged in the monitoring unit, and the plurality of detection data sent by the monitoring unit do not contain the interference data.
Furthermore, the fault diagnosis unit is provided with corresponding data threshold values for detection data acquired by different detection devices; if the detected data exceeds the corresponding data threshold value, the studying and judging result is abnormal, the central monitoring unit issues a monitoring command, and the monitoring command is to start the detection equipment corresponding to the detected data to perform retesting to obtain a retesting value; if the result of the repeated measurement is still abnormal data, the central monitoring unit shortens the sending period of the monitoring command and carries out off-line detection.
Further, if the result of the off-line data is abnormal, judging whether the GIS equipment has defects according to the SF6 purity, the variation trend of SF6 decomposition products, the variation conditions of signal level, peak value effective value, frequency correlation and phase relation of ultrasonic wave waveforms, and the comparison correlation result of the ultrahigh frequency detection result with discharge waveforms and typical discharge maps; otherwise, the detection equipment is considered to be abnormal.
Further, the fault diagnosis unit generates a variation curve according to the detection data according to a preset period.
Further, the method also comprises defect positioning and defect type identification, and specifically comprises the following steps: determining a defect part according to the intensity change rule and the time delay rule of detection signals of detection equipment arranged at different positions; and identifying the defect type and accurately positioning according to the frequency correlation of the ultrasonic detection signal, the signal amplitude level and the phase relation of the signal.
Compared with the prior art, the invention has the following characteristics and beneficial effects:
1. the invention utilizes ultrahigh frequency detection equipment, ultrasonic detection equipment, SF6 decomposition product detection equipment and SF6 purity detection equipment to realize GIS equipment discharge full-type detection (such as air gap discharge, creeping discharge and the like in an internal insulating part can only be detected by ultrahigh frequency, electric arc, spark discharge and the like can only be detected by SF6 decomposition products), and the missing detection and the missing judgment of certain special discharge types are prevented.
2. The invention utilizes different types of detection equipment to jointly monitor the discharge phenomenon (for example, different types of detection equipment can detect the suspension potential discharge phenomenon, and ultrahigh frequency and ultrasonic detection equipment can detect the free metal particles and the corona discharge phenomenon), can comprehensively analyze detection data, and can multiply confirm the discharge phenomenon and the discharge type. Meanwhile, at the initial stage of the fault, the electromagnetic environment around the transformer substation is complex and is easy to generate interference, the decomposition product of SF6 is absorbed by the adsorbent within a period of time, the discharge signal and the numerical value change of the decomposition product are not obvious, and the fault phenomenon has the characteristics of instantaneity, intermittency, easy coverage and the like.
3. The invention utilizes the detection signal intensity change rule and the time delay rule to quickly determine the defect part, and further utilizes the ultrasonic detection signal to realize accurate positioning and defect type identification so as to facilitate subsequent isolation and treatment.
4. The invention collects and uniformly detects the data communication protocol format and the clock by using the monitoring unit, identifies and filters interference data, reduces the calculated amount of the fault diagnosis unit, and improves the timeliness and the accuracy of the diagnosis and the positioning of the discharge fault
Drawings
FIG. 1 is a schematic diagram of the system architecture of the present invention;
FIG. 2 is a schematic diagram of a VHF detection apparatus;
FIG. 3 is a schematic view of an ultrasonic inspection apparatus;
FIG. 4 is a schematic diagram of an SF6 decomposition product detection apparatus;
FIG. 5 is a schematic diagram of a purity detection apparatus for SF 6.
Detailed Description
The present invention will be described in more detail with reference to examples.
Example one
A GIS device partial discharge detection diagnostic system is characterized by comprising: the device comprises a plurality of detection devices, a plurality of monitoring units, a central monitoring unit and a fault diagnosis unit which are arranged on the GIS device. The detection equipment comprises ultrahigh frequency detection equipment, ultrasonic detection equipment, SF6 decomposition product detection equipment and SF6 purity detection equipment.
The monitoring unit starts the detection equipment according to a monitoring command;
the detection equipment acquires and sends detection data to the monitoring unit;
the monitoring unit receives detection data from different detection devices, converts the detection data which adopts different format protocols and has unsynchronized clocks or external interference into detection data with uniform format and uniform clocks and external interference elimination, and then sends the detection data to the fault diagnosis unit;
the fault diagnosis unit carries out fault study and judgment according to the detection data and sends study and judgment results to the central monitoring unit;
the central monitoring unit sends out a monitoring command to the monitoring unit according to the studying and judging result.
Example two
The fault diagnosis unit specifically comprises the following steps:
1. the failure diagnosis unit carries out preliminary analysis on each detection data (ultrasonic wave, ultrahigh frequency, SF6 decomposition product concentration, SF6 purity), and executes the following steps according to a built-in data threshold (attention value, alarm value, shutdown value and the like):
(1) if the research and judgment result is abnormal (exceeding the attention value or the alarm value), the fault diagnosis unit issues a monitoring command through the central monitoring unit, starts the joint retest of each detection device and preferentially confirms according to the retest value;
(2) if the retest value of a certain detection device still exceeds the attention value, the central monitoring module shortens the detection period of the detection device, performs tracking detection on the GIS gas chamber, and performs off-line detection on ultrasonic, ultrahigh frequency, SF6 decomposition product concentration, SF6 purity and the like.
2. After off-line detection is carried out:
(1) if the off-line detection data is normal, the detection equipment is preliminarily judged to be abnormal, and the detection equipment is checked and processed for the abnormality.
(2) If the off-line detection data is abnormal, comprehensively analyzing the GIS equipment operation and detection conditions according to the historical data change trend of the gas concentration of the gas chamber SF6 and the content of the decomposition product components, the change conditions of the signal level, the peak value effective value data, the frequency correlation and the phase relation of the ultrasonic detection waveform, the ultrahigh frequency detection result, the discharge waveform, the comparison correlation result of a typical discharge map and the like, and judging whether defects exist.
EXAMPLE III
Furthermore, the fault diagnosis unit forms a data model and an expert system according to ultrasonic detection data, ultrahigh frequency detection data, SF6 decomposition product concentration detection data and SF6 purity detection data of each detection device according to a certain period (which can be set manually), and generates a change curve by calculating the change trend of the detection data, so that the change curve can be used for comparison analysis when data abnormality occurs in the devices or reference when operation and maintenance personnel perform manual examination and judgment.
If the fault diagnosis unit detects the abnormal signal, the expert system can comprehensively analyze the abnormal signal through detection equipment or by other detection instruments (such as an ultrahigh frequency partial discharge detector, an oscilloscope, a spectrum analyzer and an SF6 decomposition object detection analyzer), judge the type of discharge and carry out risk assessment on the tested equipment according to different criteria.
Example four
Further, the monitoring unit divides the detection data into normal data and interference data by using a neural network, and deletes the interference data. For example, for ultrahigh frequency detection data, the neural network is used for dividing the detection data into normal data (such as a gap PD signal, a corona discharge PD signal, a gas chamber discharge PD signal and the like which are used as detection data) and interference data (such as a mobile phone PD signal, a radar noise PD signal and the like which are used as interference data).
EXAMPLE five
Furthermore, the GIS equipment defect position is determined according to the intensity change rule and the time delay rule of the detection signals of the detection equipment arranged at different positions, and generally, the gas chamber where the defect is located is determined first, and then the GIS equipment defect position is accurately positioned to the high-voltage conductor/shell and other positions. And meanwhile, defect type identification is carried out, and defect type identification and accurate positioning can be carried out according to the 50Hz/100Hz frequency correlation of the ultrasonic detection signal, the signal amplitude level and the phase relation of the signal.
It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Claims (8)
1. A GIS device partial discharge detection diagnostic system is characterized by comprising: the system comprises a plurality of detection devices, a plurality of monitoring units, a central monitoring unit and a fault diagnosis unit;
the detection equipment is used for acquiring and sending detection data to the monitoring unit;
the monitoring unit is used for starting the detection equipment according to a monitoring command and submitting received detection data to the fault diagnosis unit;
the fault diagnosis unit is used for carrying out fault study and judgment according to the detection data and sending study and judgment results to the central monitoring unit;
and the central monitoring unit is used for issuing a monitoring command to the monitoring unit according to the study and judgment result.
2. The GIS device partial discharge detection diagnostic system according to claim 1, wherein the plurality of detection devices include an ultrahigh frequency detection device, an ultrasonic detection device, an SF6 decomposition product detection device, and an SF6 purity detection device.
3. The GIS device partial discharge detection and diagnosis system according to claim 2, wherein the monitoring unit converts the detection data that adopts different format protocols and is unsynchronized in clock into the detection data that is unified in format and unified in clock, and then sends the detection data to the fault diagnosis unit.
4. The GIS device partial discharge detection and diagnosis system according to claim 1, wherein the monitoring unit is provided with a neural network for classifying the detection data into interference data and non-interference data, and the plurality of detection data transmitted by the monitoring unit do not contain interference data.
5. The GIS device partial discharge detection and diagnosis system according to claim 2, wherein the fault diagnosis unit is provided with corresponding data threshold values for detection data obtained by different detection devices; if the detected data exceeds the corresponding data threshold value, the studying and judging result is abnormal, the central monitoring unit issues a monitoring command, and the monitoring command is to start the detection equipment corresponding to the detected data to perform retesting to obtain a retesting value; if the result of the repeated measurement is still abnormal data, the central monitoring unit shortens the sending period of the monitoring command and carries out off-line detection.
6. The GIS device partial discharge detection and diagnosis system of claim 5, wherein if the results of the offline data are abnormal, the GIS device is determined to be defective according to the SF6 purity, the variation trend of SF6 decomposition products, the variation conditions of signal level, peak effective value, frequency correlation and phase relation of ultrasonic wave, and the comparison correlation results of the ultrahigh frequency detection results and discharge waveforms and typical discharge maps; otherwise, the detection equipment is considered to be abnormal.
7. The GIS device partial discharge detection and diagnosis system according to claim 6, wherein the fault diagnosis unit generates a variation curve according to the detection data according to a preset period.
8. The GIS device partial discharge detection diagnostic system of claim 1, further comprising defect localization and defect type identification, specifically: determining a defect part according to the intensity change rule and the time delay rule of detection signals of detection equipment arranged at different positions; and identifying the defect type and accurately positioning according to the frequency correlation of the ultrasonic detection signal, the signal amplitude level and the phase relation of the signal.
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| CN202210315612.4A CN114660424A (en) | 2022-03-29 | 2022-03-29 | GIS equipment partial discharge detection diagnostic system |
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| CN202210315612.4A CN114660424A (en) | 2022-03-29 | 2022-03-29 | GIS equipment partial discharge detection diagnostic system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116359682A (en) * | 2023-02-28 | 2023-06-30 | 四川大唐国际甘孜水电开发有限公司 | Partial discharge dynamic monitoring and early warning management method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116359682A (en) * | 2023-02-28 | 2023-06-30 | 四川大唐国际甘孜水电开发有限公司 | Partial discharge dynamic monitoring and early warning management method and system |
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