CN105021958A - Switch cabinet partial discharge data recording and analyzing method based on multi-sensor detection - Google Patents
Switch cabinet partial discharge data recording and analyzing method based on multi-sensor detection Download PDFInfo
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Abstract
The invention discloses a switch cabinet partial discharge data recording and analyzing method based on multi-sensor detection. The method comprises the procedures of recording substation information, recording detecting operation information and carrying out multi-sensor detection and data recording and analysis on a detected object, wherein comprehensive recording and analysis are carried out on the multi-sensor detection data detected in the partial discharge field of the detected object comprising earth electric waves, ultrasounds, ultrahigh-frequency and high-frequency currents. The switch cabinet partial discharge data recording and analyzing method based on multi-sensor detection has the beneficial effects that the reliability of detection results is increased through the comprehensive recording and analysis of records, and the field detecting personnel can master the partial discharge condition of the switch cabinet comprehensively.
Description
Technical field
The present invention relates to a kind of partial discharge of switchgear data log analysis methodology based on FUSION WITH MULTISENSOR DETECTION.
Background technology
The insulating capacity of power equipment determines that power equipment can the key factor of safe and stable operation.Current high voltage electric power equip ment quantity gets more and more, and electric pressure is more and more higher, and the safe operation of electric system in deficiency and the insulation fault serious threat of the power equipment appearance put into operation of electric power equipment on-site test method.The insulating property of power equipment can be reflected by the detection of shelf depreciation.The shelf depreciation of power equipment inside not only produces electric signal, and along with audible signal and light signal, and cause gas to decompose.So the method being used for monitoring has electrical measuring method, sound detection, photoelectric method and chemical method etc.Ground electric wave method and supercritical ultrasonics technology are that current switch cabinet equipment office puts in test and applies two kinds of wider methods, when condition possesses, high-frequency current method also puts test for the auxiliary office of switchgear, and particularly in phasing and defect Severity, high-frequency current method has unique advantage.In addition, discovered in recent years, switch cabinet equipment office puts in test, ground electric wave method and ultrasonic method are for insulating inner defect sensitivity all not, and insulation defect exactly can one of the defect type leading to major break down, therefore along with the maturation of ultrahigh frequency partial discharge measuring technology, also start in recent years to put in test in the office of switch cubicle to apply ultrahigh frequency partial discharge measuring technology.Adopting multi-technical fusion to carry out office to power equipment, to put test be a kind of trend.
Summary of the invention
Object of the present invention is exactly that provide a kind of partial discharge of switchgear data log analysis methodology based on FUSION WITH MULTISENSOR DETECTION, it can carry out comprehensive detection analysis to partial discharge of switchgear in order to solve the problem.
To achieve these goals, the present invention adopts following technical scheme:
Based on a partial discharge of switchgear data log analysis methodology for FUSION WITH MULTISENSOR DETECTION, the method comprises the steps:
Step 1, record substation information
Substation information at least comprises transformer station's title, device name, electric pressure, weather conditions, temperature and humidity, environmental noise;
Step 2, record testing information
Testing information at least comprises detection time, testing staff;
Step 3, carries out FUSION WITH MULTISENSOR DETECTION and data record, analysis to detected object
3.1, electric wave detects: detect by comparatively electric wave the presence or absence that data judgement office puts, the data that the testing result of switch cubicle to be detected should detect with switch cubicle of the same type compare, or compare with the detection data before switch cubicle to be detected itself, if the data detected are larger than same model switch cubicle, or it is larger than the detection data before switch cubicle to be detected itself, then illustrate that switch cubicle to be detected exists discharge activities, and then the possibility of infer fault, ground electric wave detects and judges in accordance with the following steps:
3.11, test value < 10dB, non-fault;
3.12,10dB < test value < 20dB, pays close attention to, shortens sense cycle;
3.13, test value > 20dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.14, under background signal stable case, test value-background value > 10dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.2, Ultrasonic Detection: in ultrasound examination process, ultrasonic sensor is carried out Scanning Detction along the gap on switch cubicle to be detected, air duct will be had between ultrasonic sensor and switch cubicle to be detected, be used for ensureing that ultrasonic signal can be propagated out, in testing process, the ultrasonic signal that real shelf depreciation produces can hear the sound discharging and break from earphone, should record the maximal value that in this switch cubicle gap sweep test to be detected, ultrasound wave is stable during record, ultrasound examination judges according to making shelf depreciation type by following:
3.21, the typical chromatogram characteristic of suspended discharge class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and doubled frequency composition are greater than an overtones band composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as two bunches, namely has " bimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs two bunches, two bunches of sizableness in a power frequency period;
3.22, the typical chromatogram characteristic of corona defect class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and an overtones band composition are greater than doubled frequency composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as cluster, namely has " unimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs that cluster large-signal or cluster amplitude are obviously comparatively large, two bunches of signals that cluster is obviously less in a power frequency period;
3.23, the level chromatogram characteristic of free metal particulate class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, but 50Hz frequency content and 100Hz frequency content not obvious;
Under B, phase detection mode, its signal does not have obvious phase place buildup effect, similarly in a power frequency period is uniformly distributed;
Under C, wave test pattern, its signal has obvious high impulse, and the relevance of this pulse signal and power-frequency voltage is little, and it occurs having randomness;
Under D, pulse detection pattern, its signal list reveals significantly " triangle hump " shape;
3.3, superfrequency detects: treat detector switch cabinet, the check point of superfrequency sensor at least comprises the gap place of switch cubicle to be detected, view window, louvre, and superfrequency detects and judges according to making shelf depreciation type according to following:
The typical chromatogram characteristic of A, suspended discharge class defect
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and there is certain symmetry, discharge signal amplitude is very large and neighbouring discharge signal interval is basically identical, and discharge time is few, electric discharge repetition rate is lower, and PRPS collection of illustrative plates has " the interior Eight characters " or " the outer Eight characters " distribution characteristics;
The typical chromatogram characteristic of B, corona defect class defect
The polar effect of discharge signal clearly, usually in negative half period or the positive half cycle appearance of operating frequency phase, discharge signal intensity is more weak and PHASE DISTRIBUTION is wider, discharge time is more, but under high voltage grade also may there is discharge signal in another half cycle, amplitude is higher and PHASE DISTRIBUTION is narrower, and discharge time is less;
The typical chromatogram characteristic of C, free metal particulate class defect
Discharge signal polar effect is not obvious, and arbitrary phase has distribution, and discharge time is few, and discharge signal amplitude is without evident regularity, and the discharge signal time interval is unstable, improves electric pressure discharge signal amplitude and increases but inter-spike intervals reduction;
The typical chromatogram characteristic of D, void defects class
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and has certain symmetry, and discharge signal amplitude is comparatively disperseed, and discharge time is less;
3.4, high-frequency current detects: high-frequency current technology refers to that frequency carries out a kind of detection method gathering, analyze, judge to the high-frequency current signal in tens MHz intervals between hundreds of kHz, without typical discharges picture time normal, when suspection has shelf depreciation, other detection method should be compared comprehensively analyze, local discharge signal, after carrying out positioning using TDOA, can utilize high-frequency current to detect the phase place of phasing analysis shelf depreciation generation;
Testing result and maintenance after result determines, retain waveform and image data, as the foundation of shelf depreciation type identification from now on.
The present invention has following beneficial effect: by adopting comprehensive detection and analytic record, improve the confidence level of testing result, Site Detection personnel can grasp the shelf depreciation situation of switch cubicle comprehensively.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the partial discharge of switchgear data log analysis methodology based on FUSION WITH MULTISENSOR DETECTION.
Embodiment
The technological means realized to make the present invention, creation characteristic, reaching object and effect is easy to understand, below in conjunction with concrete diagram, setting forth the present invention further.
Partial discharge of switchgear detects and tests based on ground electric wave, what possess test condition should carry out ultrasonic tesint simultaneously, when testing discovery abnormal signal and increasing, multiple sensors should be adopted to carry out shelf depreciation location, phasing and defect type analysis, so that exclusive PCR determination rejected region, specifically, as shown in Figure 1, a kind of partial discharge of switchgear data log analysis methodology (hereinafter referred to as " the method ") based on FUSION WITH MULTISENSOR DETECTION is then for solving the problem and the detailed description proposed.
The method comprises the steps:
The first step, record substation information, substation information at least comprises transformer station's title, device name, electric pressure, weather conditions, temperature and humidity, environmental noise.Owing to there is extraneous interference in the running environment of switch cubicle, before detection, need to test background noise, air background value test point should the measuring point of selected distance more than switch cubicle 1m, metal background value should detect in the surface of metal product of the non-switch such as metallic door, metal gate cabinet equipment, detect the background value of difference in the position that switch cubicle is different, also can need the local testing background value of testing background value.
Second, record testing information, testing information includes but not limited to detection time, testing staff.
3rd step, carries out FUSION WITH MULTISENSOR DETECTION and data record, analysis (can use hand-held instrument for measuring partial discharge) to detected object (such as switch cubicle)
3.1, electric wave detects: detect by comparatively electric wave the presence or absence that data judgement office puts, the data that the testing result of switch cubicle to be detected should detect with switch cubicle of the same type compare, or compare with the detection data before switch cubicle to be detected itself, if the data detected are larger than same model switch cubicle, or it is larger than the detection data before switch cubicle to be detected itself, then illustrate that switch cubicle to be detected exists discharge activities, and then the possibility of infer fault, ground electric wave detects and judges in accordance with the following steps:
3.11, test value < 10dB, non-fault;
3.12,10dB < test value < 20dB, pays close attention to, shortens sense cycle, thus Timeliness coverage fault;
3.13, test value > 20dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.14, under background signal stable case, test value-background value > 10dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.2, Ultrasonic Detection: in ultrasound examination process, ultrasonic sensor is carried out Scanning Detction along the gap on switch cubicle to be detected, air duct will be had between ultrasonic sensor and switch cubicle to be detected, be used for ensureing that ultrasonic signal can be propagated out, in testing process, the ultrasonic signal that real shelf depreciation produces can hear the sound discharging and break from earphone, should record the maximal value that in this switch cubicle gap sweep test to be detected, ultrasound wave is stable during record, ultrasound examination judges according to making shelf depreciation type by following:
3.21, the typical chromatogram characteristic of suspended discharge class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and doubled frequency composition are greater than an overtones band composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as two bunches, namely has " bimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs two bunches, two bunches of sizableness in a power frequency period;
3.22, the typical chromatogram characteristic of corona defect class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and an overtones band composition are greater than doubled frequency composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as cluster, namely has " unimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs that cluster large-signal or cluster amplitude are obviously comparatively large, two bunches of signals that cluster is obviously less in a power frequency period;
3.23, the level chromatogram characteristic of free metal particulate class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, but 50Hz frequency content and 100Hz frequency content not obvious;
Under B, phase detection mode, its signal does not have obvious phase place buildup effect, similarly in a power frequency period is uniformly distributed;
Under C, wave test pattern, its signal has obvious high impulse, and the relevance of this pulse signal and power-frequency voltage is little, and it occurs having randomness;
Under D, pulse detection pattern, its signal list reveals significantly " triangle hump " shape;
3.3, superfrequency detects: treat detector switch cabinet, the check point of superfrequency sensor at least comprises the gap place of switch cubicle to be detected, view window, louvre, and the ultrahigh-frequency signal that the shelf depreciation of dissimilar insulation defect produces has different spectrum signatures.Therefore, except the signal time domain distribution characteristics that can utilize conventional method, can also carry out shelf depreciation type identification in conjunction with ultrahigh-frequency signal frequency domain distribution feature, realize insulation defect type diagnostic, superfrequency detects and judges according to making shelf depreciation type according to following:
The typical chromatogram characteristic of A, suspended discharge class defect
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and there is certain symmetry, discharge signal amplitude is very large and neighbouring discharge signal interval is basically identical, and discharge time is few, electric discharge repetition rate is lower, and PRPS collection of illustrative plates has " the interior Eight characters " or " the outer Eight characters " distribution characteristics;
The typical chromatogram characteristic of B, corona defect class defect
The polar effect of discharge signal clearly, usually in negative half period or the positive half cycle appearance of operating frequency phase, discharge signal intensity is more weak and PHASE DISTRIBUTION is wider, discharge time is more, but under high voltage grade also may there is discharge signal in another half cycle, amplitude is higher and PHASE DISTRIBUTION is narrower, and discharge time is less;
The typical chromatogram characteristic of C, free metal particulate class defect
Discharge signal polar effect is not obvious, and arbitrary phase has distribution, and discharge time is few, and discharge signal amplitude is without evident regularity, and the discharge signal time interval is unstable, improves electric pressure discharge signal amplitude and increases but inter-spike intervals reduction;
The typical chromatogram characteristic of D, void defects class
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and has certain symmetry, and discharge signal amplitude is comparatively disperseed, and discharge time is less;
3.4, high-frequency current detects: high-frequency current technology refers to that frequency carries out a kind of detection method gathering, analyze, judge to the high-frequency current signal in tens MHz intervals between hundreds of kHz, without typical discharges picture time normal, when suspection has shelf depreciation, other detection method should be compared comprehensively analyze, local discharge signal, after carrying out positioning using TDOA, can utilize high-frequency current to detect the phase place of phasing analysis shelf depreciation generation;
Testing result and maintenance after result determines, retain waveform and image data, as the foundation of shelf depreciation type identification from now on.
The foregoing is only the preferred embodiment of the present invention, protection scope of the present invention is not limited in above-mentioned embodiment, and every technical scheme belonging to the principle of the invention all belongs to protection scope of the present invention.For a person skilled in the art, the some improvement carried out under the prerequisite not departing from principle of the present invention, these improvement also should be considered as protection scope of the present invention.
Claims (1)
1., based on the partial discharge of switchgear data log analysis methodology of FUSION WITH MULTISENSOR DETECTION, it is characterized in that, the method comprises the steps:
Step 1, record substation information
Substation information at least comprises transformer station's title, device name, electric pressure, weather conditions, temperature and humidity, environmental noise;
Step 2, record testing information
Testing information at least comprises detection time, testing staff;
Step 3, carries out FUSION WITH MULTISENSOR DETECTION and data record, analysis to detected object
3.1, electric wave detects: detect by comparatively electric wave the presence or absence that data judgement office puts, the data that the testing result of switch cubicle to be detected should detect with switch cubicle of the same type compare, or compare with the detection data before switch cubicle to be detected itself, if the data detected are larger than same model switch cubicle, or it is larger than the detection data before switch cubicle to be detected itself, then illustrate that switch cubicle to be detected exists discharge activities, and then the possibility of infer fault, ground electric wave detects and judges in accordance with the following steps:
3.11, test value < 10dB, non-fault;
3.12,10dB < test value < 20dB, pays close attention to, shortens sense cycle;
3.13, test value > 20dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.14, under background signal stable case, test value-background value > 10dB, uses superfrequency method to detect, tentatively judges signal type, or acoustoelectric combined detection, judges signal source;
3.2, Ultrasonic Detection: in ultrasound examination process, ultrasonic sensor is carried out Scanning Detction along the gap on switch cubicle to be detected, air duct will be had between ultrasonic sensor and switch cubicle to be detected, be used for ensureing that ultrasonic signal can be propagated out, in testing process, the ultrasonic signal that real shelf depreciation produces can hear the sound discharging and break from earphone, should record the maximal value that in this switch cubicle gap sweep test to be detected, ultrasound wave is stable during record, ultrasound examination judges according to making shelf depreciation type by following:
3.21, the typical chromatogram characteristic of suspended discharge class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and doubled frequency composition are greater than an overtones band composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as two bunches, namely has " bimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs two bunches, two bunches of sizableness in a power frequency period;
3.22, the typical chromatogram characteristic of corona defect class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, there is an obvious overtones band composition and doubled frequency composition, and an overtones band composition are greater than doubled frequency composition;
Under B, phase detection mode, its signal has obvious phase place buildup effect, in a power frequency period, show as cluster, namely has " unimodal " feature;
Under C, wave test pattern, its signal shows as the pulse signal of rule, occurs that cluster large-signal or cluster amplitude are obviously comparatively large, two bunches of signals that cluster is obviously less in a power frequency period;
3.23, the level chromatogram characteristic of free metal particulate class defect
Under A, amplitude detection pattern, its signal effective value, cycle peak are comparatively large, but 50Hz frequency content and 100Hz frequency content not obvious;
Under B, phase detection mode, its signal does not have obvious phase place buildup effect, similarly in a power frequency period is uniformly distributed;
Under C, wave test pattern, its signal has obvious high impulse, and the relevance of this pulse signal and power-frequency voltage is little, and it occurs having randomness;
Under D, pulse detection pattern, its signal list reveals significantly " triangle hump " shape;
3.3, superfrequency detects: treat detector switch cabinet, the check point of superfrequency sensor at least comprises the gap place of switch cubicle to be detected, view window, louvre, and superfrequency detects and judges according to making shelf depreciation type according to following:
The typical chromatogram characteristic of A, suspended discharge class defect
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and there is certain symmetry, discharge signal amplitude is very large and neighbouring discharge signal interval is basically identical, and discharge time is few, electric discharge repetition rate is lower, and PRPS collection of illustrative plates has " the interior Eight characters " or " the outer Eight characters " distribution characteristics;
The typical chromatogram characteristic of B, corona defect class defect
The polar effect of discharge signal clearly, usually in negative half period or the positive half cycle appearance of operating frequency phase, discharge signal intensity is more weak and PHASE DISTRIBUTION is wider, discharge time is more, but under high voltage grade also may there is discharge signal in another half cycle, amplitude is higher and PHASE DISTRIBUTION is narrower, and discharge time is less;
The typical chromatogram characteristic of C, free metal particulate class defect
Discharge signal polar effect is not obvious, and arbitrary phase has distribution, and discharge time is few, and discharge signal amplitude is without evident regularity, and the discharge signal time interval is unstable, improves electric pressure discharge signal amplitude and increases but inter-spike intervals reduction;
The typical chromatogram characteristic of D, void defects class
Discharge signal all there will be at the positive and negative half cycle of operating frequency phase usually, and has certain symmetry, and discharge signal amplitude is comparatively disperseed, and discharge time is less;
3.4, high-frequency current detects: high-frequency current technology refers to that frequency carries out a kind of detection method gathering, analyze, judge to the high-frequency current signal in tens MHz intervals between hundreds of kHz, without typical discharges picture time normal, when suspection has shelf depreciation, other detection method should be compared comprehensively analyze, local discharge signal, after carrying out positioning using TDOA, can utilize high-frequency current to detect the phase place of phasing analysis shelf depreciation generation;
Testing result and maintenance after result determines, retain waveform and image data, as the foundation of shelf depreciation type identification from now on.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101650407A (en) * | 2009-09-02 | 2010-02-17 | 江苏省电力公司常州供电公司 | Sulfur hexafluoride gas insulation totally-enclosed combined electric partial discharge detection and positioning system |
| US20100079148A1 (en) * | 2008-09-30 | 2010-04-01 | Korea Electric Power Corporation | Uhf partial discharge and its location measuring device for high-voltage power devices |
| CN201540349U (en) * | 2009-09-01 | 2010-08-04 | 江苏省电力公司常州供电公司 | Ultra-high frequency signal sensor for partial discharge detection |
| CN103176113A (en) * | 2013-04-02 | 2013-06-26 | 国家电网公司 | Gas insulated switchgear (GIS) partial discharge calibration method and system |
| CN103884970A (en) * | 2014-03-25 | 2014-06-25 | 上海局放软件技术有限公司 | Partial discharge routing inspection device applicable to multiple detection methods |
-
2014
- 2014-07-27 CN CN201410359516.5A patent/CN105021958A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100079148A1 (en) * | 2008-09-30 | 2010-04-01 | Korea Electric Power Corporation | Uhf partial discharge and its location measuring device for high-voltage power devices |
| CN201540349U (en) * | 2009-09-01 | 2010-08-04 | 江苏省电力公司常州供电公司 | Ultra-high frequency signal sensor for partial discharge detection |
| CN101650407A (en) * | 2009-09-02 | 2010-02-17 | 江苏省电力公司常州供电公司 | Sulfur hexafluoride gas insulation totally-enclosed combined electric partial discharge detection and positioning system |
| CN103176113A (en) * | 2013-04-02 | 2013-06-26 | 国家电网公司 | Gas insulated switchgear (GIS) partial discharge calibration method and system |
| CN103884970A (en) * | 2014-03-25 | 2014-06-25 | 上海局放软件技术有限公司 | Partial discharge routing inspection device applicable to multiple detection methods |
Non-Patent Citations (1)
| Title |
|---|
| 华北电网有限公司华北电力技术院: "《特大电网高压输变电技术与设备》", 31 March 2011 * |
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