CN218938407U - Online monitoring device is put in generator office - Google Patents
Online monitoring device is put in generator office Download PDFInfo
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- CN218938407U CN218938407U CN202221463095.7U CN202221463095U CN218938407U CN 218938407 U CN218938407 U CN 218938407U CN 202221463095 U CN202221463095 U CN 202221463095U CN 218938407 U CN218938407 U CN 218938407U
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Abstract
The utility model provides a generator partial discharge on-line monitoring device, which comprises a main detection circuit, a correction circuit, an on-line monitor and a protection circuit, wherein the main detection circuit and the correction circuit are arranged in parallel; the on-line monitor is connected with the generator through a correction circuit and is used for acquiring the actual voltage U of the generator terminal of the generator and carrying out threshold correction on partial discharge data by utilizing the U; according to the utility model, the correction circuit is additionally arranged in the existing generator partial discharge on-line monitoring device and is connected with the main detection circuit in parallel, so that the improvement of the existing on-line monitoring device can be conveniently realized, the existing device is not required to be greatly disassembled and modified, and the improvement cost is reduced; meanwhile, the threshold value is corrected through the U acquired in real time, the size of the threshold value can be adjusted according to the actual running condition of the generator, the accurate determination of the threshold value is ensured, and the recognition accuracy of the partial discharge signal of the generator is improved.
Description
Technical Field
The utility model relates to the field of insulation on-line monitoring of power equipment, in particular to an on-line monitoring device for partial discharge of a generator.
Background
Partial discharge (Partial Discharge, abbreviated PD) monitoring of a genset is an important means of detecting degradation of insulation performance of a genset. Because partial discharge is both an important cause of insulation degradation of the generator set and a main feature reflecting insulation degradation, the partial discharge capacity of the generator set can effectively characterize the insulation health condition of the generator set.
The partial discharge condition of the generator set under the running condition is measured on line, so that the insulation health condition of the generator set can be mastered in time, insulation accidents can be effectively prevented, references are provided for state maintenance, the influence characteristics of various running stresses on the insulation health can be identified, various insulation-endangered events are captured, and the basis is provided for fault diagnosis. The generator partial discharge on-line monitoring technology has been studied for a long time at home and abroad, and more equipment is put into operation on the engineering site, so that a good practical effect is achieved.
In the prior art, a generator partial discharge on-line monitoring device (shown in figure 1) collects a generator terminal partial discharge signal in real time through a coupling capacitor 3 arranged on a closed bus 2 at a generator terminal, then inputs the partial discharge signal into a partial discharge on-line monitoring device through a coaxial cable 4 for analysis and processing, calculates parameters such as discharge amount, discharge times, discharge phase and the like, and finally displays the parameters through a human-machine interface HMI. In the prior art, although the current generator partial discharge on-line monitoring equipment and monitoring technology are widely applied, the current generator partial discharge on-line monitoring equipment and monitoring technology have serious noise and interference in on-line measurement, and the higher the generator terminal voltage is, the larger the interference is, so that the accurate measurement of a partial discharge signal is extremely challenging. Therefore, eliminating noise and interference is a key problem of online measurement of partial discharge of the generator, and is also the basis for subsequent identification and determination of discharge types and corresponding insulation defects.
Aiming at eliminating noise and interference of partial discharge signals, wavelet transformation is often used as a main time-frequency domain tool for partial discharge denoising of a generator in the prior art, wherein a thresholding method is most widely applied, and mainly aims at white noise and discrete spectrum interference, and noise elimination is generally realized through three steps of decomposition, thresholding and reconstruction. For example, the wavelet transform and threshold denoising methods are described in the prior patent CN106324502A, CN111521916A, CN 102540028A.
However, in the threshold processing stage in actual engineering, the prior art adopts a fixed threshold to process, which easily results in poor numerical accuracy of the adopted fixed threshold and cannot be matched with the actual running condition of the generator; if the value of the fixed threshold is selected to be larger, the useful part of the partial discharge signal is lost, and if the value of the fixed threshold is selected to be smaller, the noise of the part cannot be effectively eliminated, which can definitely influence the accuracy of the final partial discharge data, so that the recognition accuracy of the generator partial discharge signal is lower.
Therefore, in the process of analyzing the partial discharge signal by adopting the wavelet, how to accurately determine the threshold value in the threshold value processing stage becomes a problem which needs to be solved in the field.
Disclosure of Invention
In view of the above, the utility model aims to provide an online monitoring device for partial discharge of a generator, which is improved on the basis of the existing monitoring device to solve the problems that in the prior art, in the process of analyzing a partial discharge signal by using wavelets, a fixed threshold is often adopted for processing in a threshold processing stage, so that the threshold is difficult to accurately determine, the recognition accuracy of the partial discharge signal of the generator is low, and the like.
In order to achieve the above purpose, the technical scheme of the utility model is realized as follows:
the generator partial discharge on-line monitoring device comprises a main detection circuit, a correction circuit, an on-line monitor and a protection circuit, wherein the main detection circuit and the correction circuit are arranged in parallel, and the on-line monitor is connected with a generator through the main detection circuit and is used for acquiring partial discharge data of the generator in real time; the on-line monitor is connected with the generator through a correction circuit and is used for acquiring the actual voltage U of the generator terminal of the generator in real time and correcting the partial discharge data by utilizing the U.
Further, a voltage transformer is arranged in the correction circuit.
Further, the generator comprises a closed bus, and the generator is respectively connected with the main detection circuit and the correction circuit through the closed bus.
Further, the generator comprises a first grounding wire, one end of the first grounding wire is connected with the generator, and the other end of the first grounding wire is grounded.
Further, a coupling capacitor and a coaxial cable are sequentially arranged in the main detection circuit, and the main detection circuit is connected with the on-line monitor through the coaxial cable.
Further, the on-line monitoring device comprises a protection circuit, one end of the protection circuit is connected with the main detection circuit, and the other end of the protection circuit is grounded.
Furthermore, a voltage stabilizing tube is arranged in the protection circuit.
Further, the on-line monitor is provided with a second grounding wire, one end of the second grounding wire is connected with the on-line monitor, and the other end of the second grounding wire is grounded.
Further, the on-line monitoring device comprises a man-machine interface, and the man-machine interface is connected with the on-line monitor.
Compared with the prior art, the generator partial discharge on-line monitoring device has the following advantages:
according to the generator partial discharge on-line monitoring device, the correction circuit is additionally arranged in the existing generator partial discharge on-line monitoring device and is connected with the main detection circuit in parallel, so that the improvement of the existing on-line monitoring device can be conveniently realized, the existing device is not required to be greatly disassembled and modified, and the improvement cost is reduced.
Meanwhile, the local discharge data acquisition is not affected in the local discharge signal processing process, the machine-side actual voltage U is additionally acquired through the correction circuit, the local discharge data is subjected to threshold correction by the U, and compared with the prior art adopting a fixed threshold, the threshold correction is carried out through the U acquired in real time, the threshold size can be adjusted according to the actual running condition of the generator, the threshold adopted in the threshold processing process is more attached to the actual running condition of the generator, the accurate determination of the threshold is ensured, the local discharge noise can be removed more accurately, and the recognition accuracy of the generator local discharge signal is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the utility model and are incorporated in and constitute a part of this specification, illustrate embodiments of the utility model and together with the description serve to explain the utility model. In the drawings:
FIG. 1 is a schematic diagram of a generator partial discharge on-line monitoring device in the prior art;
fig. 2 is a schematic structural diagram of a generator partial discharge on-line monitoring device according to an embodiment of the present utility model;
fig. 3 is a data waveform diagram of an original partial discharge signal when the voltage of the machine terminal is 23.38kV in embodiment 1 of the present utility model;
FIG. 4 is a diagram of a denoising reconstructed signal after conventional fixed thresholding of the waveform data of FIG. 3 according to the present utility model;
FIG. 5 is a diagram of a denoising reconstructed signal after the waveform data in FIG. 3 is subjected to the threshold correction process proposed in the present application;
fig. 6 is a data waveform diagram of an original partial discharge signal when the voltage of the machine terminal is 24.72kV in embodiment 2 of the present utility model;
FIG. 7 is a graph of a denoising reconstructed signal after conventional fixed thresholding of the waveform data of FIG. 6 according to the present utility model;
fig. 8 is a diagram of a denoising reconstructed signal after the waveform data in fig. 6 is subjected to the threshold correction process proposed in the present application.
Reference numerals illustrate:
1. a generator; 11. a first ground line; 2. closing the bus; 3. a coupling capacitor; 4. a coaxial cable; 5. a main detection line; 6. correcting the circuit; 61. a voltage transformer; 7. a protection circuit; 71. a voltage stabilizing tube; 8. and a second ground line.
Detailed Description
The inventive concepts of the present disclosure will be described below using terms commonly used by those skilled in the art to convey the substance of their work to others skilled in the art. These inventive concepts may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.
It should be noted that, without conflict, the embodiments of the present utility model and features of the embodiments may be combined with each other. Meanwhile, the term "partial discharge" in the present application is simply referred to as "partial discharge".
The utility model will be described in detail below with reference to the drawings in connection with embodiments.
In the prior art, a generator partial discharge on-line monitoring device (shown in figure 1) collects a generator terminal partial discharge signal in real time through a coupling capacitor 3 arranged on a closed bus 2 at a generator terminal, then inputs the partial discharge signal into a partial discharge on-line monitoring device through a coaxial cable 4 for analysis and processing, calculates parameters such as discharge amount, discharge times, discharge phase and the like, and finally displays the parameters through a human-machine interface HMI. Because serious noise and interference exist in online measurement, wavelet transformation is often used as a main time-frequency domain tool for partial discharge denoising of a generator in the prior art, wherein a threshold method is most widely applied and mainly aims at white noise and discrete spectrum interference, noise elimination is generally realized through three steps of decomposition, threshold processing and reconstruction in the prior art, however, in the process of analyzing partial discharge signals by adopting wavelet, the prior art adopts a fixed threshold to process in a threshold processing stage, the precision of the adopted fixed threshold is poor easily, and the method cannot be matched with the actual running condition of the generator, so that the recognition accuracy of the partial discharge signals of the generator is lower.
In order to solve the problems that in the prior art, in the process of analyzing the partial discharge signal by using a wavelet, a fixed threshold is often adopted for processing in a threshold processing stage, so that the threshold is difficult to accurately determine, the recognition accuracy of the generator partial discharge signal is low, and the like, the embodiment provides a generator partial discharge online monitoring device, as shown in fig. 2, wherein the online monitoring device is connected with a generator 1 and comprises a main detection circuit 5, a correction circuit 6 and an online monitor, the main detection circuit 5 is connected with the correction circuit 6 in parallel, and the online monitor is connected with the generator 1 through the main detection circuit 5 and is used for acquiring partial discharge data of the generator 1 in real time; the on-line monitor is connected with the generator 1 through a correction line 6 and is used for acquiring the actual voltage U of the generator terminal of the generator 1 in real time and carrying out threshold correction on partial discharge data by utilizing the U.
It should be noted that, the partial discharge data refers to a partial discharge data waveform obtained through continuous detection, which is the same as the prior art, and will not be described in detail. The online monitor in the application can be only data acquisition equipment, can acquire partial discharge data and U, and can be processed by manpower or other data processing tools for the process of carrying out threshold correction on the partial discharge data through the U, and final partial discharge data is obtained. Of course, the online monitor may also be an automatic data acquisition and analysis instrument, and after the partial discharge data and the U are acquired, the threshold correction can be automatically performed on the partial discharge data through the U until the final partial discharge data is obtained.
Therefore, the online monitoring device is simple in structure, the correction circuit 6 is additionally added in the existing generator partial discharge online monitoring device only and is connected with the main detection circuit 5 in parallel, the improvement of the existing online monitoring device can be conveniently realized, the existing device is not required to be greatly disassembled and modified, and the improvement cost is reduced. Meanwhile, in the process of processing the partial discharge signals, the acquisition of the partial discharge data is not affected, the machine-side actual voltage U is additionally acquired through the correction circuit 6, the U is utilized for carrying out threshold correction on the partial discharge data, compared with the prior art adopting a fixed threshold value, the threshold value is corrected through the U acquired in real time, the threshold value can be adjusted according to the actual running condition of the generator, the threshold value adopted in the process of processing the threshold value is more attached to the actual running condition of the generator, the accurate determination of the threshold value is ensured, the partial discharge noise can be removed more accurately, and the identification accuracy of the partial discharge signals of the generator is improved.
In the case of the generator 1, the generator 1 includes a closed busbar 2, and the generator 1 is connected to a main detection line 5 and a correction line 6 via the closed busbar 2. In addition, the generator 1 further comprises a first grounding wire 11, one end of the first grounding wire 11 is connected with the generator 1, and the other end of the first grounding wire is grounded and used for guaranteeing the electrical safety of the generator 1.
For the main detection line 5, a coupling capacitor 3 and a coaxial cable 4 are sequentially arranged in the main detection line 5, and the main detection line 5 is connected with an online monitor through the coaxial cable 4. Preferably, the coupling capacitance 3 is 80pF and the coaxial cable 4 is 50Ω. In order to ensure the data stability of the on-line monitor obtained through the main detection circuit 5 and ensure the corresponding electrical safety, the on-line monitoring device comprises a protection circuit 7, one end of the protection circuit 7 is connected with the main detection circuit 5, the other end is grounded, and a voltage stabilizing tube 71 is arranged in the protection circuit 7 and used for preventing surge impact. Preferably, the connection point of the protection circuit 7 and the main detection circuit 5 is located between the coupling capacitor 3 and the coaxial cable 4. In addition, the on-line monitor is provided with a second grounding wire 8, one end of the second grounding wire 8 is connected with the on-line monitor, and the other end of the second grounding wire is grounded for ensuring the electrical safety of the on-line monitor.
For the correction circuit 6, a voltage transformer 61 is disposed in the correction circuit 6, and is used for transforming the voltage of the machine terminal of the generator 1, transforming the high voltage value of the machine terminal voltage into low voltage, so as to meet the safety voltage requirement of the on-line monitor when receiving the voltage signal, avoid the direct impact of the overhigh machine terminal voltage on the on-line monitor, and ensure the safety and effectiveness of the data acquisition of the on-line monitor.
Preferably, the on-line monitor is an automated data acquisition and analysis instrument, and comprises a conventional central processing unit in addition to conventional data acquisition modules, such as a voltage detector, a current detector and the like, for performing automated wavelet analysis on the partial discharge signals. In addition, the on-line monitoring device further comprises a human-computer interface, wherein the human-computer interface is connected with the on-line monitor and is used for engineers to perform manual intervention, manual calculation, parameter presetting and other operations on the partial discharge signal processing process. The man-machine interface and the on-line monitor may be connected through a data line or may be connected in a wireless manner, for example, through a connection manner such as WIFI or ethernet, which is not described herein in detail in view of the prior art.
On the basis of the online monitoring device, the application also provides a generator partial discharge online monitoring method, which comprises the following steps:
s1, acquiring partial discharge data of a generator 1 in real time through a main detection circuit 5 to form a partial discharge data waveform;
in step S1, under the recording duration T, the online monitor continuously records the partial discharge data of the generator 1 through the main detection line 5, and integrates the partial discharge data with the recording duration T, as shown in fig. 3 and 6 of the present application, the recording time is taken as the horizontal axis, and the partial discharge data amplitude corresponding to the recording time is taken as the vertical axis, so as to form a partial discharge data waveform, which can be used as an original partial discharge signal diagram; in view of the recording, drawing, etc. of the signal waveform diagrams, they are conventional in the art and will not be described herein.
In this application, T may be a length of time, such as 1 minute to 1 day or any other length of time. However, considering the actual continuous running condition of the generator 1, the online monitoring device in the application preferably can record the partial discharge data of the generator 1 continuously for a long time, can save the sampled partial discharge data for 1-7 days, delete old data exceeding the data storage period, continuously save newly acquired data, and sequentially and circularly reciprocate to maintain continuous sampling of the data.
For the waveform length of fig. 3-8 of the present application, which is only a small portion of the waveform length cut from the continuously recorded signal, the numbers of the horizontal axes in fig. 3-8 represent the number of partial discharge data points (dimensionless), but are subject to the sampling rate of the on-line monitoring device, and the numbers of the horizontal axes may be equivalent to the recording time, for example: assume that the on-line monitoring device of the present application samples 10 per second 7 The number 500 of the horizontal axis in fig. 3-8 of the present application represents the 500 th data point, which may be equivalent to a recording time length of 50 microseconds; if the on-line monitoring device samples 10 per second 6 With data points being partially discharged, the number 500 on the horizontal axis is equivalent to a recording time length of 500 microseconds.
For the vertical axis in fig. 3-8, the amplitude of the partial discharge data points is still expressed in mV.
S2, determining a wavelet function and a decomposition layer number j, performing wavelet transformation on the partial discharge data waveform, and calculating a wavelet coefficient omega of each layer j，k ；
Step S2 is a conventional wavelet transformation technology in the prior art, and an engineer selects a proper wavelet function and a decomposition layer number j according to the characteristics of an original partial discharge signal and the noise characteristics thereof to perform wavelet transformation. The wavelet function may be any one of a plurality of functions such as db2 wavelet to db8 wavelet, and the decomposition layer number j may be any one of 3 to 8 layers. In view of the fact that the wavelet transform technique is a conventional technique, a detailed description is omitted.
S3, acquiring the actual voltage U of the machine end of the generator 1 in real time through a correction circuit 6;
s4, carrying out threshold correction according to the U to obtain a threshold lambda of each layer j ；
For thresholding procedures in conventional wavelet transform techniquesFor a fixed threshold, e.g. the prior art often follows
To calculate a threshold, wherein lambda j The j-th layer threshold value, sigma is the signal-to-noise ratio, and N is the number of signal data. Therefore, the threshold value in the prior art is a fixed value, cannot be adapted to the actual running condition of the generator, and is easy to cause poor numerical accuracy of the threshold value and low recognition accuracy of the partial discharge signal of the generator.
In step S4 of the present application, the threshold correction calculation formula is
λ j For the threshold value of the j-th layer, ue is the rated voltage of the machine end, specifically refers to the rated working voltage value in the nameplate of the generator 1, sigma is the signal-to-noise ratio, and N is the number of signal data.
Compared with the prior art, in the step S4, the threshold value is corrected by utilizing U, and the size of the threshold value can be automatically adjusted according to the actual running condition of the generator, so that the threshold value adopted in the threshold value processing process is more attached to the actual running condition of the generator, the accurate determination of the threshold value is ensured, the partial discharge noise can be removed more accurately, and the recognition accuracy of the partial discharge signal of the generator is improved.
S5, multiplying the wavelet coefficient omega j，k Binding threshold lambda j Performing calculation to obtain estimated wavelet coefficient
Wherein the wavelet coefficients are estimated
The formula of (2) is->
Thus, after the threshold correction by U, the actual fitting to the generator can be directly obtained by estimating the calculation of the wavelet coefficientEstimated wavelet coefficient of running condition +.>
The method is beneficial to improving the precision degree of removing the partial discharge noise and improving the recognition accuracy of the generator partial discharge signal.
S6, reconstructing the wavelet through each layer of coefficients of wavelet decomposition to obtain a partial discharge signal after eliminating the noise signal, and analyzing the partial discharge signal to obtain final partial discharge data.
In step S6, conventional data analysis processing techniques such as wavelet reconstruction and signal analysis in the existing wavelet transformation technique may be directly adopted, and in view of the fact that the conventional data analysis processing techniques are all the prior art, no description is given.
Based on the on-line monitoring device and the monitoring method, two embodiments are continuously provided for further description of the application.
Example 1
The generator parameters of a certain power plant are as follows: capacity: 388.2MVA, model: QFSN-330-2-24, rated voltage 24kV, rated current 9339A.
Continuously recording partial discharge data of the generator 1 through the step S1, intercepting a small section of continuous sampling points of the partial discharge data when the actual voltage of the generator terminal is 23.38kV, wherein the small section of continuous sampling points comprise about 500 continuous partial discharge data points, and sampling 10 per second by an online monitoring device of the present application 7 Based on the data points of the partial discharge, the recording time length is about 50 microseconds, and the partial discharge data waveform is formed, as shown in fig. 3, only a large amount of noise can be obviously seen from the graph, and a useful partial discharge signal cannot be seen. And carrying out wavelet analysis processing on the partial discharge data waveform, selecting db3 wavelets, selecting 3 decomposition layers, wherein sigma=1 and N=512.
Firstly, according to the prior art, a conventional wavelet transformation technology and a fixed threshold value are adopted for calculation, wherein the calculation formula of the fixed threshold value is that
After conventional calculation and wavelet reconstruction in the prior art, the waveform of the final partial discharge data is obtained as shown in figure 4As can be seen from fig. 4, when the actual voltage of the machine end is 23.38kV, the fixed threshold setting is higher in the prior art, so that noise is not effectively filtered, the signal is submerged by the noise, and a useful partial discharge signal is not detected.
By adopting the online monitoring device and the online monitoring method, on the basis of a conventional wavelet transformation technology, the actual voltage U at the machine end is additionally detected, and the threshold value is corrected by utilizing the U, wherein the calculation formula of the threshold value correction is as follows
Where u=23.38 kV and ue=24 kV. And then, the waveforms of the final partial discharge data are obtained through the processing of the steps S5 and S6 as shown in the figure 5.
By comparing the waveform data of fig. 4 and fig. 5, it can be clearly seen that: in the prior art, after wavelet processing is performed by adopting a fixed threshold value, noise is not effectively filtered, so that signals are submerged by the noise, and useful partial discharge signals cannot be detected; on the basis of a conventional wavelet transformation technology, the threshold value can be automatically adjusted according to the actual running condition of the generator by additionally detecting the actual voltage U at the machine end and utilizing U to carry out threshold value correction, so that the threshold value adopted in the threshold value processing process is more attached to the actual running condition of the generator, the accurate determination of the threshold value is ensured, the partial discharge noise can be removed more accurately, the partial discharge signal can be effectively detected, and the identification accuracy of the partial discharge signal of the generator is improved.
Example 2
The generator parameters of a certain power plant are as follows: capacity: 388.2MVA, model: QFSN-330-2-24, rated voltage 24kV, rated current 9339A.
Continuously recording partial discharge data of the generator 1 through the step S1, intercepting a small section of continuous sampling points of the partial discharge data when the actual voltage of the generator terminal is 24.72kV, wherein the small section of continuous sampling points comprise about 500 continuous partial discharge data points, and sampling 10 per second by an online monitoring device of the present application 7 Based on the partial discharge data points, the recording time length is about 50 microseconds, and the partial discharge data waveform is formed, as shown in figure 6, obviously fromOnly a large amount of noise can be seen in the figure, and no useful partial discharge signal can be seen. And carrying out wavelet analysis processing on the partial discharge data waveform, selecting db3 wavelets, selecting 3 decomposition layers, wherein sigma=1 and N=512.
Firstly, according to the prior art, a conventional wavelet transformation technology and a fixed threshold value are adopted for calculation, wherein the calculation formula of the fixed threshold value is that
After conventional calculation and wavelet reconstruction in the prior art, waveforms of final partial discharge data are shown in fig. 7, and as can be seen from fig. 7, when the actual voltage of the machine end is 24.72kV, part of useful signals are lost due to lower fixed threshold setting in the prior art, so that the reconstructed signals are distorted, and useful partial discharge signals are not detected. />
By adopting the online monitoring device and the online monitoring method, on the basis of a conventional wavelet transformation technology, the actual voltage U at the machine end is additionally detected, and the threshold value is corrected by utilizing the U, wherein the calculation formula of the threshold value correction is as follows
Where u=24.72 kV and ue=24 kV. And then, the waveforms of the final partial discharge data are obtained through the processing of the steps S5 and S6 as shown in the figure 8.
By comparing the waveform data of fig. 7 and 8, it can be clearly seen that: in the prior art, after wavelet processing is performed by adopting a fixed threshold value, part of useful signals are lost, so that reconstructed signals are distorted, and useful partial discharge signals are not detected; on the basis of a conventional wavelet transformation technology, the threshold value can be automatically adjusted according to the actual running condition of the generator by additionally detecting the actual voltage U at the machine end and utilizing U to carry out threshold value correction, so that the threshold value adopted in the threshold value processing process is more attached to the actual running condition of the generator, the accurate determination of the threshold value is ensured, the partial discharge noise can be removed more accurately, the partial discharge signal can be effectively detected, and the identification accuracy of the partial discharge signal of the generator is improved.
The foregoing description of the preferred embodiments of the utility model is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the utility model.
Claims (7)
1. The generator partial discharge on-line monitoring device is characterized by comprising a main detection circuit (5), a correction circuit (6), an on-line monitor and a protection circuit (7), wherein the main detection circuit (5) and the correction circuit (6) are arranged in parallel, and the on-line monitor is connected with a generator (1) through the main detection circuit (5) and is used for acquiring partial discharge data of the generator (1) in real time; the on-line monitor is connected with the generator (1) through a correction circuit (6) and is used for acquiring the actual voltage U of the machine end of the generator (1) in real time and correcting the threshold value of the partial discharge data by using the U; one end of the protection circuit (7) is connected with the main detection circuit (5), and the other end of the protection circuit is grounded; a voltage stabilizing tube (71) is arranged in the protection circuit (7).
2. The generator partial discharge on-line monitoring device according to claim 1, characterized in that a voltage transformer (61) is arranged in the correction line (6).
3. The generator partial discharge on-line monitoring device according to claim 1, wherein the generator (1) comprises a closed bus (2), and the generator (1) is respectively connected with a main detection circuit (5) and a correction circuit (6) through the closed bus (2).
4. The generator partial discharge on-line monitoring device according to claim 1, wherein the generator (1) comprises a first grounding wire (11), one end of the first grounding wire (11) is connected with the generator (1), and the other end is grounded.
5. The generator partial discharge on-line monitoring device according to claim 1, wherein a coupling capacitor (3) and a coaxial cable (4) are sequentially arranged in the main detection circuit (5), and the main detection circuit (5) is connected with an on-line monitor through the coaxial cable (4).
6. The generator partial discharge on-line monitoring device according to claim 1, wherein the on-line monitor is provided with a second grounding wire (8), one end of the second grounding wire (8) is connected with the on-line monitor, and the other end is grounded.
7. The generator partial discharge on-line monitoring device of claim 1, wherein the on-line monitoring device comprises a human-machine interface, the human-machine interface being coupled to an on-line monitor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202221463095.7U CN218938407U (en) | 2022-06-13 | 2022-06-13 | Online monitoring device is put in generator office |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202221463095.7U CN218938407U (en) | 2022-06-13 | 2022-06-13 | Online monitoring device is put in generator office |
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| CN218938407U true CN218938407U (en) | 2023-04-28 |
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