CN105044577A - Partial-discharge charged detection method of transformer - Google Patents
Partial-discharge charged detection method of transformer Download PDFInfo
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- CN105044577A CN105044577A CN201510528607.1A CN201510528607A CN105044577A CN 105044577 A CN105044577 A CN 105044577A CN 201510528607 A CN201510528607 A CN 201510528607A CN 105044577 A CN105044577 A CN 105044577A
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Abstract
The invention relates to a partial-discharge charged detection method of a transformer. The method comprises the following steps of step 1, acquiring phase spectrums and classification spectrums of high frequency signals of an iron core of a transformer to be detected and a clamping component grounding lead wire respectively and determining whether obvious blocking gathering exists in the classification spectrums; step 2, carrying out clustering separation on the classification spectrums of the high frequency signals and dividing into different blocks according to a signal gathering condition; step 3, comparing the phase spectrum corresponding to each block to a typical partial-discharge phase spectrum of the transformer and determining whether a typical characteristic of partial discharge exists in the phase spectrum; step 4, selecting a typical point and extracting time domain and frequency domain images at a discharge signal gathering position of a suspected partial discharge phase diagram spectrum, comparing the time domain and frequency domain images to time domain and frequency domain images of a typical partial discharge signal of the transformer, and determining whether a typical characteristic of the partial discharge exists. The method has advantages that test process time is short and the transformer does not need to be stopped during detection.
Description
Technical field
The invention belongs to partial discharge of transformer detection technique field, particularly a kind of partial discharge of transformer live detection method.
Background technology
In recent years, along with fast development that is economic and society, electrical network scale also expands rapidly thereupon.Traditional grid equipment prophylactic repair pattern based on the cycle can not adapt to the requirement of contemporary power network development.
At present, the maintenance model for power equipment has been Maintenance Mode by traditional prophylactic repair Mode change.Basis is detected as with status of electric power, reasonable assessment power equipment health status and fault progression trend also formulate the equipment state overhauling pattern of corresponding turnaround plan and strategy accordingly, have become the most feasible, the most effective means of current guarantee electrical network and device security reliability service.Status of electric power detects to be needed closely monitor this equipment state and make assessment to its fault progression trend, in order to judge whether this equipment exists exception and the contingent fault of predict device.Wherein, live detection has very important significance to discovery power equipment hidden danger as a kind of important means of Diagnostic Examination And Repair of Electric Power Facilities.
The shelf depreciation of power equipment is a kind of latency defect, and its partial discharge quantity is the major criterion evaluating this Electric Power Equipment Insulation level.Partial discharge of transformer detection is important one in electrical test of transformer, and periodic detection partial discharge of transformer situation is not only the important means exercised supervision to this transformer insulated level, is also the effective ways judging that its insulation long-term safety is run.But when the pulse current method of application routine carries out partial discharge test to transformer, need transformer to stop transport, be therefore difficult to, according to the periodicity needed for Condition Maintenance Method of Transformer pattern, regular requirement, carry out Partial Discharge Detection.The shortcomings such as further, traditional partial discharge of transformer detection method exists checkout equipment complexity, personnel are numerous, and test danger is high, convenience is poor.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of reasonable in design, handling safety is provided and convenient practicality and partial discharge of transformer live detection method.
The present invention solves its technical matters and takes following technical scheme to realize:
A kind of partial discharge of transformer live detection method, comprises the following steps:
Step 1, the phase place spectrogram obtaining tested transformer core and folder ground lead place high-frequency signal respectively and classification spectrogram, judge whether there is obvious blocking and aggregation in classification spectrogram, if there is obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceeds to step 2; If there is not obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceed to step 3;
Step 2, described high-frequency signal classification spectrogram is carried out separations that cluster, be divided into different blocks by signal gathering situation;
Step 3, phase place spectrogram corresponding for each block and transformer typical case shelf depreciation phase place spectrogram to be compared, judge the characteristic feature that whether there is shelf depreciation in this phase place collection of illustrative plates, if there is the characteristic feature of shelf depreciation in phase place spectrogram, then determine that it is doubtful shelf depreciation phase place collection of illustrative plates, proceed to step 4; If there is not the characteristic feature of shelf depreciation in phase place spectrogram, then judge that this discharge signal is not local discharge signal;
Step 4, discharge signal habitat at doubtful shelf depreciation phase place collection of illustrative plates, choose representative point and extract its time domain and frequency domain figure picture, the time domain of itself and transformer typical case local discharge signal and frequency domain figure picture are contrasted, judge the characteristic feature that whether there is shelf depreciation in the time domain of selected representative point and frequency domain figure picture, if there is the characteristic feature of shelf depreciation, then judge that this discharge signal is as highly doubtful local discharge signal; If there is not the characteristic feature of shelf depreciation, then judge that this discharge signal is not local discharge signal.
And when obtaining phase place spectrogram and the classification spectrogram of tested transformer core and folder ground lead place high-frequency signal in step 1, the equipment adopted is PDCheck local discharge detection device.
And step 2 uses PDProcessing software simulating.
And the characteristic feature of partial discharge of transformer described in step 3 is: 1. local discharge signal appears in first and third quadrant of power cycle, and the discharge signal in two quadrants is tufted distribution, about zero crossing Central Symmetry; 2. discharge signal and synchronizing signal phase differential are 180 °.
And, time domain and the frequency domain figure picture of transformer typical case local discharge signal described in step 4 have following characteristics: discharge signal has the very steep spike pulse of rising edge, pulse amplitude can reach more than 100mV, and amplitude attenuation is very fast, and spectrogram has obvious gathering in 2 ~ 10MHz low-frequency range.
Advantage of the present invention and good effect are:
1, high-frequency impulse detection method conventional in power cable partial discharge test and equipment are introduced in partial discharge of transformer detection experiment by the present invention, the high-frequency signal of transformer is gathered at transformer core and folder ground lead place, and its detected image is analyzed, thus realize the live detection of partial discharge of transformer, more convenient practicality compared with traditional partial discharge of transformer detection method.
2, the process of the test time of the present invention is short, can to realize transformer in electrical network on a large scale, highdensity Partial Discharge Detection, and without the need to being stopped transport by transformer simultaneously when detecting, opportunity of detecting can according to the demand free setting of transformer equipment maintenance.And testing result is directly perceived, effectively can find that tested inside transformer insulate the shelf depreciation situation existed everywhere, particularly responsive and effectively to the shelf depreciation defect at iron core place.
3, PDCheck High Frequency Current Sensor CT used in the present invention is connected by electromagnetic coupled with detected transformer, achieves electrical isolation; And PDCheck signals collecting main frame is connected with adopting optical fiber between computing machine, ensure that the safety of operating personnel.
4, checkout equipment required for the present invention is simply portable, simple and safe operation.
Accompanying drawing explanation
Fig. 1 is processing flow chart of the present invention;
Fig. 2 is transformer of the present invention typical case shelf depreciation phase place spectrogram;
Fig. 3 is 500kV transformer C phase phase place spectrogram of the present invention;
Fig. 4 is that 500kV transformer C phase of the present invention is classified spectrogram;
Fig. 5 is the classification spectrogram after being separated that clusters of the present invention;
Fig. 6 is the discharge signal phase place spectrogram that in Fig. 5 of the present invention, left block is corresponding;
Fig. 7 is the discharge signal phase place spectrogram that in Fig. 5 of the present invention, right block is corresponding.
Embodiment
Below the embodiment of the present invention is described in further detail:
A kind of partial discharge of transformer live detection method, as shown in Figure 1, comprises the following steps:
Step 1, the phase place spectrogram obtaining tested transformer core and folder ground lead place high-frequency signal respectively and classification spectrogram, in the present embodiment, described phase place spectrogram and classification spectrogram, respectively as shown in Figure 3 and Figure 4.Judge whether there is obvious blocking and aggregation in classification spectrogram, if there is obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceed to step 2; If there is not obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceed to step 3;
Step 2, described high-frequency signal classification spectrogram is carried out separations that cluster, be divided into different blocks by signal gathering situation; The classification spectrogram clustered after being separated as shown in Figure 5.
Step 3, phase place spectrogram corresponding for each block as shown in Figure 6 and Figure 7 and transformer typical case shelf depreciation phase place spectrogram as shown in Figure 2 to be compared, judge the characteristic feature that whether there is shelf depreciation in this phase place collection of illustrative plates, if there is the characteristic feature of shelf depreciation in phase place spectrogram, then determine that it is doubtful shelf depreciation phase place collection of illustrative plates, proceed to step 4; If there is not the characteristic feature of shelf depreciation in phase place spectrogram, then judge that this discharge signal is not local discharge signal;
Step 4, discharge signal habitat at doubtful shelf depreciation phase place collection of illustrative plates, choose representative point and extract its time domain and frequency domain figure picture, the time domain of itself and transformer typical case local discharge signal and frequency domain figure picture are contrasted, judge the characteristic feature that whether there is shelf depreciation in the time domain of selected representative point and frequency domain figure picture, if there is the characteristic feature of shelf depreciation, then judge that this discharge signal is as highly doubtful local discharge signal; If there is not the characteristic feature of shelf depreciation, then judge that this discharge signal is not local discharge signal.
Principle of work of the present invention is: when inside transformer insulation exists shelf depreciation, high-frequency discharge pulse signal can pass through capacitive coupling, is reflected on the ground current of iron core and folder.Therefore, high-frequency impulse detection method conventional in power cable partial discharge test and equipment are introduced transformer partial discharge test by the present invention, transformer high-frequency signal is gathered at transformer core and folder down conductor, and detected image is analyzed, thus realize the live detection of partial discharge of transformer.
Efforts process of the present invention is: first, before carrying out the test of tested partial discharge of transformer live detection, high-frequency pulse current detection is carried out at fortune transformer to what determine to exist shelf depreciation, the local discharge signal image collected is analyzed, determine typical partial discharge of transformer feature, and set up the high-frequency detection imagery specialists storehouse of partial discharge of transformer diagnosis accordingly, as the basis for estimation of other tested partial discharge of transformer live detection.Then, the High Frequency Current Sensor CT of two Partial Discharge Detection equipment PDCheck is connected on the ground lead of tested transformer core and folder respectively, is connected by electromagnetic coupled.By high frequency CT, the current pulse signal at tested transformer core and folder ground lead place is gathered, and the CT signal collected and synchronizing signal are sent to PDCheck signals collecting main frame, obtain phase place spectrogram and the classification spectrogram of its high-frequency signal; If there is obvious blocking and aggregation in the classification spectrogram obtained, then by gathering with PDCControl and the PDPorcessing software in the computing machine of PDCheck signals collecting main frame Fiber connection high-frequency discharge pulse signal and analyze, above-mentioned classification spectrogram is clustered separation, different blocks is divided into according to local discharge signal situation of assembling, observe the phase place spectrogram of each signal cluster (signal distributions block), its discharge characteristic and typical office are put image and compares.Finally, there is the representative point of choosing discharge signal in the phase place spectrogram of shelf depreciation doubtful and extract its time domain and frequency domain figure picture, the signal extraction of each electric discharge and noise is separated, the local discharge signal feature of each image and typical partial discharge of transformer high-frequency detection image are carried out " fingerprint comparison ", thus judges the shelf depreciation situation of tested transformer.
The transformer partial discharge signal characteristic feature utilizing Partial Discharge Detection equipment PDCheck to record comprises: according to internal discharge mechanism, in typical inner shelf depreciation phase place spectrogram, discharge signal generally appears in first and third quadrant of power cycle, two quadrant discharge signals are tufted distribution, about zero crossing Central Symmetry.Again due to, in the partial discharge of transformer utilizing PDCheck to carry out detects, the phase differential of synchronizing signal and discharge signal cannot be calibrated, therefore synchronizing signal can only be used for the symmetry judging discharge signal, and actual distribution quadrant cannot be determined, so assert, when utilizing PDCheck to carry out transformer partial discharge detection, be typical local discharge characteristic when discharge signal and synchronizing signal phase differential are 180 °.
High frequency time domain and the frequency domain figure picture of typical partial discharge of transformer have following feature: discharge signal has the very steep spike pulse of rising edge, pulse amplitude can reach more than 100mV, amplitude attenuation is very fast, and spectrogram (2 ~ 10MHz) in low-frequency range has obvious gathering.
It is emphasized that; embodiment of the present invention is illustrative; instead of it is determinate; therefore the present invention includes the embodiment be not limited to described in embodiment; every other embodiments drawn by those skilled in the art's technical scheme according to the present invention, belong to the scope of protection of the invention equally.
Claims (5)
1. a partial discharge of transformer live detection method, is characterized in that comprising the following steps:
Step 1, the phase place spectrogram obtaining tested transformer core and folder ground lead place high-frequency signal respectively and classification spectrogram, judge whether there is obvious blocking and aggregation in classification spectrogram, if there is obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceeds to step 2; If there is not obvious blocking and aggregation in high-frequency signal classification spectrogram, then proceed to step 3;
Step 2, described high-frequency signal classification spectrogram is carried out separations that cluster, be divided into different blocks by signal gathering situation;
Step 3, phase place spectrogram corresponding for each block and transformer typical case shelf depreciation phase place spectrogram to be compared, judge the characteristic feature that whether there is shelf depreciation in this phase place collection of illustrative plates, if there is the characteristic feature of shelf depreciation in phase place spectrogram, then determine that it is doubtful shelf depreciation phase place collection of illustrative plates, proceed to step 4; If there is not the characteristic feature of shelf depreciation in phase place spectrogram, then judge that this discharge signal is not local discharge signal;
Step 4, discharge signal habitat at doubtful shelf depreciation phase place collection of illustrative plates, choose representative point and extract its time domain and frequency domain figure picture, the time domain of itself and transformer typical case local discharge signal and frequency domain figure picture are contrasted, judge the characteristic feature that whether there is shelf depreciation in the time domain of selected representative point and frequency domain figure picture, if there is the characteristic feature of shelf depreciation, then judge that this discharge signal is as highly doubtful local discharge signal; If there is not the characteristic feature of shelf depreciation, then judge that this discharge signal is not local discharge signal.
2. a kind of partial discharge of transformer live detection method according to claim 1, it is characterized in that: when obtaining phase place spectrogram and the classification spectrogram of tested transformer core and folder ground lead place high-frequency signal in described step 1, the equipment adopted is PDCheck local discharge detection device.
3. a kind of partial discharge of transformer live detection method according to claim 1, is characterized in that: described step 2 uses PDProcessing software simulating.
4. a kind of partial discharge of transformer live detection method according to claim 1, it is characterized in that: the characteristic feature of partial discharge of transformer described in step 3 is: 1. local discharge signal appears in first and third quadrant of power cycle, and the discharge signal in two quadrants is tufted distribution, about zero crossing Central Symmetry; 2. discharge signal and synchronizing signal phase differential are 180 °.
5. a kind of partial discharge of transformer live detection method according to claim 1, it is characterized in that: time domain and the frequency domain figure picture of transformer typical case local discharge signal described in step 4 have following characteristics: discharge signal has the very steep spike pulse of rising edge, pulse amplitude can reach more than 100mV, amplitude attenuation is very fast, and spectrogram has obvious gathering in 2 ~ 10MHz low-frequency range.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115116308A (en) * | 2022-06-15 | 2022-09-27 | 华南理工大学 | Partial discharge detection teaching system and method suitable for laboratory |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197218A (en) * | 2013-04-23 | 2013-07-10 | 国家电网公司 | High-voltage cable insulation defect partial discharge electrification detection diagnostic method |
| CN103499775A (en) * | 2013-08-29 | 2014-01-08 | 国家电网公司 | Method for detecting XLPE insulation degree based on partial discharge frequency properties |
| CN103645425A (en) * | 2013-11-15 | 2014-03-19 | 广东电网公司电力科学研究院 | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method |
| CN103698669A (en) * | 2013-12-12 | 2014-04-02 | 广东电网公司东莞供电局 | Local discharge pulse separating method for high-voltage power equipment |
| CN104360244A (en) * | 2014-11-07 | 2015-02-18 | 华北电力大学 | Solid-state transformer partial discharge on-line monitoring method |
| CN104655996A (en) * | 2015-02-04 | 2015-05-27 | 国家电网公司 | Live detection device for partial discharge of GIS cable terminal, and use method of device |
-
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- 2015-08-25 CN CN201510528607.1A patent/CN105044577B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103197218A (en) * | 2013-04-23 | 2013-07-10 | 国家电网公司 | High-voltage cable insulation defect partial discharge electrification detection diagnostic method |
| CN103499775A (en) * | 2013-08-29 | 2014-01-08 | 国家电网公司 | Method for detecting XLPE insulation degree based on partial discharge frequency properties |
| CN103645425A (en) * | 2013-11-15 | 2014-03-19 | 广东电网公司电力科学研究院 | High-voltage cable insulation defect partial discharge on-line monitoring diagnosis method |
| CN103698669A (en) * | 2013-12-12 | 2014-04-02 | 广东电网公司东莞供电局 | Local discharge pulse separating method for high-voltage power equipment |
| CN104360244A (en) * | 2014-11-07 | 2015-02-18 | 华北电力大学 | Solid-state transformer partial discharge on-line monitoring method |
| CN104655996A (en) * | 2015-02-04 | 2015-05-27 | 国家电网公司 | Live detection device for partial discharge of GIS cable terminal, and use method of device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115116308A (en) * | 2022-06-15 | 2022-09-27 | 华南理工大学 | Partial discharge detection teaching system and method suitable for laboratory |
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Inventor after: Zhang Xin Inventor after: Tang Qinghua Inventor after: Wang Nan Inventor after: Wang Wei Inventor after: Zhu Mingzheng Inventor after: Li Xu Inventor after: Yang Lei Inventor after: Liu Yan Inventor before: Zhang Xin Inventor before: Tang Qinghua Inventor before: Wang Nan Inventor before: Wang Wei Inventor before: Zhu Mingzheng Inventor before: Li Xu Inventor before: Yang Lei |
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