CN114371437A - DC voltage transformer state online monitoring system and monitoring method - Google Patents
DC voltage transformer state online monitoring system and monitoring method Download PDFInfo
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- CN114371437A CN114371437A CN202210028419.2A CN202210028419A CN114371437A CN 114371437 A CN114371437 A CN 114371437A CN 202210028419 A CN202210028419 A CN 202210028419A CN 114371437 A CN114371437 A CN 114371437A
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- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
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Abstract
The invention discloses a DC voltage transformer state on-line monitoring system and a monitoring system, wherein the monitoring system comprises: the system comprises a sensor cluster, a feature extraction module and a fault waveform processing module; the method comprises the steps that primary current of a voltage divider of the direct-current voltage transformer, leakage current on the surface of an outer sleeve of the direct-current voltage transformer, lightning impulse grounding current and flashover current caused by external insulation damage of the direct-current voltage transformer are obtained through a sensor group, and obtained data are locally transmitted to a multi-sensor multi-characteristic-quantity extraction module for reducing the misoperation rate of a control protection system and improving the stability of a direct-current power transmission system; meanwhile, the fault waveform is transmitted to a fault waveform storage and judgment module for analyzing, comparing and judging the fault type, sending an alarm signal, mastering the abnormal fault waveform characteristic parameters of the direct current transformer and effectively improving the reliability of the direct current power transmission system.
Description
Technical Field
The invention relates to the technical field of performance monitoring of direct-current voltage transformers, in particular to a system and a method for monitoring states of a direct-current voltage transformer on line.
Background
The direct current voltage transformer is used as an important device in an extra-high voltage power transmission system, and bears an important task of connecting a primary side power transmission line and a secondary side control protection device, and the running state of the direct current voltage transformer directly influences the performance of the whole direct current power transmission system. In addition, the normal and reliable work of the control protection system is a necessary condition for the stable operation of the direct current transmission system, and whether the operation state of the direct current voltage transformer is stable or not is closely related to whether the control protection system can work normally and reliably or not. Therefore, how to monitor the operation state of the dc voltage transformer in real time becomes an urgent problem to be solved in the power transmission engineering.
In view of this, the present application is specifically made.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: how to monitor the running state of the direct current voltage transformer in real time.
The purpose is as follows: according to the principle that a direct current voltage transformer is changed along with the change of primary current and leakage current when secondary voltage abnormality occurs, a sensor cluster consisting of different types of current sensors is utilized to respectively monitor the primary current of a voltage divider of the direct current transformer, the leakage current on the surface of an outer sleeve of the direct current voltage transformer, the lightning impulse grounding current, the external insulation damage flashover current of the direct current voltage transformer and the like in real time to obtain characteristic quantities of different types of current; according to the characteristic quantities of different currents, the characteristic extraction module and the fault waveform processing module are utilized to comprehensively analyze whether system locking is caused, whether fault waveforms are generated, fault types and the like, so that the running state information of the direct current voltage transformer is obtained, and the real-time monitoring of the state of the direct current voltage transformer is realized. The running state information can provide judgment basis under abnormal conditions for the secondary protection system, so that maintenance protection is implemented, system locking is avoided, and the reliability of the direct-current power transmission system is effectively improved.
The invention is realized by the following technical scheme:
on one hand, the invention provides an on-line monitoring system for the state of a direct current voltage transformer, which comprises: the system comprises a sensor cluster, a feature extraction module and a fault waveform processing module; and the sensor cluster respectively sends a plurality of different monitored characteristic quantities to the characteristic extraction module and the fault waveform processing module through optical fibers for analysis and processing to obtain an online monitoring result of the state of the direct-current voltage transformer.
Wherein the sensor cluster includes: the device comprises a first current sensor for monitoring primary current of a voltage divider of the direct-current voltage transformer, a second current sensor for monitoring leakage current on the surface of an outer sleeve of the direct-current voltage transformer, a third current sensor for monitoring lightning impulse grounding current and a fourth current sensor for monitoring flashover current caused by external insulation damage of the direct-current voltage transformer; the first current sensor, the second current sensor, the third current sensor and the fourth current sensor are mutually independent, and the fourth current sensor is positioned above a flange at the bottom of the direct current transformer.
The feature extraction module includes: the device comprises a signal acquisition unit, a data analysis unit, a logic judgment unit and a reset unit which are connected in sequence; the signal acquisition unit is connected with the sensor cluster, and the reset unit is connected between the data analysis unit and the logic judgment unit.
The fault waveform processing module comprises: the device comprises a conditioning and sampling unit, an FPGA control unit, a trigger condition judging unit, a fault judging unit and a measuring coil; the FPGA control unit comprises: a waveform data memory; the sensor cluster, the conditioning and sampling unit, the FPGA control unit and the trigger condition judging unit are sequentially connected, the trigger condition judging unit is connected with the waveform data memory, the waveform data memory is connected with the fault judging unit, and the measuring coil is connected between the conditioning and sampling unit and the sensor cluster.
Further, the conditioning and sampling unit comprises: the device comprises an active integration subunit, a signal conditioning subunit and an A/D sampling subunit.
On the other hand, the invention also provides a method for on-line monitoring of the state of the direct current voltage transformer by using the monitoring system, which comprises the following steps:
step 1: monitoring by utilizing a sensor cluster to obtain a plurality of different characteristic quantities;
step 2: collecting the plurality of different characteristic quantities by using a characteristic extraction module, and sequentially comparing and judging according to the plurality of different characteristic quantities to obtain a judgment result;
and step 3: collecting the different characteristic quantities by using a fault waveform processing module, and respectively carrying out fault waveform analysis and fault type judgment according to the different characteristic quantities to obtain a fault analysis result;
and 4, step 4: and integrating the judgment result and the fault analysis result to obtain the state information of the direct-current voltage transformer.
As a further description of the present invention, the step 1 specifically includes the following steps:
monitoring the primary current of a voltage divider of the direct-current voltage transformer by using a first current sensor to obtain primary current characteristic quantity;
monitoring the leakage current on the surface of the outer sleeve of the direct-current voltage transformer by using a second current sensor to obtain the characteristic quantity of the leakage current;
monitoring the lightning impulse grounding current by using a third current sensor to obtain the characteristic quantity of the lightning impulse grounding current;
and monitoring the flashover current of the external insulation damage of the direct-current voltage transformer by using the fourth current sensor to obtain the characteristic quantity of the flashover current of the insulation damage.
As a further description of the present invention, the step 2 specifically includes the following steps:
acquiring the plurality of different characteristic quantities by using a signal acquisition unit;
comparing the different characteristic quantities with setting values built in the data analysis unit respectively by using the data analysis unit to obtain comparison results;
and comprehensively judging the comparison result by using a logic judgment unit to obtain a judgment result of whether the locking signal is output or not.
As a further description of the present invention, the step 3 specifically includes:
collecting the plurality of different characteristic quantities by using a conditioning and adopting unit;
caching the plurality of different characteristic quantities by utilizing an FPGA control unit;
extracting the different characteristic quantities from the FPGA control unit by using a trigger condition judgment unit, and respectively judging whether the different characteristic quantities exceed a set threshold voltage to obtain a judgment result;
if the judgment result is that the characteristic quantity exceeds the set threshold voltage, storing abnormal waveform data corresponding to the characteristic quantity exceeding the set threshold voltage into a waveform data storage unit;
and judging the fault type line by using a fault judging unit according to the abnormal waveform data to obtain a fault analysis result.
The abnormal waveform data can be subjected to digital-to-analog conversion by a D/A converter and then output to an oscilloscope for display, or the abnormal waveform data is sent to an upper computer for reduction and analysis;
in addition, an alarm signal may be generated according to the failure analysis result and transmitted to the control room.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the on-line monitoring system and the monitoring method for the state of the direct-current voltage transformer provided by the embodiment of the invention can provide a judgment basis under an abnormal condition for a secondary protection system, avoid system locking and effectively improve the reliability of a direct-current power transmission system;
2. according to the on-line monitoring system and the monitoring method for the state of the direct-current voltage transformer, provided by the embodiment of the invention, the stability of a direct-current power transmission system can be improved;
3. the on-line monitoring system and the monitoring method for the state of the direct current voltage transformer provided by the embodiment of the invention can analyze and obtain the fault type, send an alarm signal and master the abnormal fault waveform characteristic parameters of the direct current transformer.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other related drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a frame diagram of a dc voltage transformer state online monitoring system provided in embodiment 1 of the present invention;
fig. 2 is a schematic view of a workflow of a feature extraction module according to embodiment 2 of the present invention;
fig. 3 is a schematic diagram of a work flow of a fault waveform processing module according to embodiment 3 of the present invention.
Reference numbers and corresponding part names in the drawings:
the device comprises a 1-sensor cluster, a 2-feature extraction module, a 3-fault waveform processing module, a 11-first current sensor, a 12-second current sensor, a 13-third current sensor, a 14-fourth current sensor, a 21-signal acquisition unit, a 22-data analysis unit, a 23-logic judgment unit, a 24-reset unit, a 31-conditioning and sampling unit, a 33-FPGA control unit, a 34-trigger condition judgment unit, a 35-fault judgment unit, a 36-measuring coil, a 311-active integration subunit, a 312-signal conditioning subunit, a 313-A/D sampling subunit and a 331-waveform data memory.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to one of ordinary skill in the art that: it is not necessary to employ these specific details to practice the present invention. In other instances, well-known structures, circuits, materials, or methods have not been described in detail so as not to obscure the present invention.
Throughout the specification, reference to "one embodiment," "an embodiment," "one example," or "an example" means: the particular features, structures, or characteristics described in connection with the embodiment or example are included in at least one embodiment of the invention. Thus, the appearances of the phrases "one embodiment," "an embodiment," "one example" or "an example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, the particular features, structures, or characteristics may be combined in any suitable combination and/or sub-combination in one or more embodiments or examples. Further, those of ordinary skill in the art will appreciate that the illustrations provided herein are for illustrative purposes and are not necessarily drawn to scale. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the description of the present invention, the terms "front", "rear", "left", "right", "upper", "lower", "vertical", "horizontal", "upper", "lower", "inner", "outer", etc. indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore, should not be construed as limiting the scope of the present invention.
Example 1
The embodiment provides an online monitoring system for the state of a direct current voltage transformer, which is used for monitoring the running state of the direct current voltage transformer in real time, providing a judgment basis under abnormal conditions for a secondary protection system, avoiding system locking and effectively improving the reliability of a direct current power transmission system.
As shown in fig. 1, the on-line monitoring system for the state of the dc voltage transformer comprises: the system comprises a sensor cluster 1, a characteristic extraction module 2 and a fault waveform processing module 3; the sensor cluster 1 sends a plurality of different monitored characteristic quantities to the characteristic extraction module 2 and the fault waveform processing module 3 respectively through optical fibers for analysis and processing, and an online monitoring result of the state of the direct-current voltage transformer is obtained.
First, the embodiment further explains the sensor cluster 1:
the sensor cluster 1 includes: the device comprises a first current sensor 11 for monitoring primary current of a voltage divider of the direct-current voltage transformer, a second current sensor 12 for monitoring leakage current on the surface of an outer sleeve of the direct-current voltage transformer, a third current sensor 13 for monitoring lightning impulse grounding current and a fourth current sensor 14 for monitoring flashover current caused by external insulation damage of the direct-current voltage transformer. The first current sensor 11, the second current sensor 12, the third current sensor 13, and the fourth current sensor 14 are independent of each other.
It is worth mentioning that it is possible to show,
rated primary current of a voltage divider of the direct-current voltage transformer is small, but when a transient process occurs on a polar line, a capacitor branch of the voltage divider still has large impact current. Therefore, in the present embodiment, the first current sensor 11 is selected and used for monitoring the primary current of the voltage divider of the dc voltage transformer, which not only can effectively monitor the primary current of the voltage divider in the steady state of the system, but also can properly monitor the transient current generated by the transient overvoltage of the system in the capacitive branch of the voltage divider.
The leakage current on the surface of the outer sleeve of the direct-current voltage transformer can be ignored under the normal operation condition, but under the extreme condition of surface discharge or radial breakdown of the voltage divider, the transient discharge current amplitude is larger, so the second current sensor 12 is selected for monitoring the leakage current on the surface of the outer sleeve of the direct-current voltage transformer in the embodiment, and the sensor has wide frequency band and good transient characteristic.
The third current sensor 13 can measure the current of the high-frequency power and the electronic circuit. The test ring adopts an open iron core coil, so that the magnetic saturation performance can be improved, the measurement frequency band is increased, and the defects of the traditional iron core coil are overcome.
The fourth current sensor 14 can effectively meet the requirement of a large inner diameter. The fourth current sensor 14 is located above the bottom flange of the dc transformer.
Then, the present embodiment further explains the feature extraction module 2:
the characteristic extraction module 2 comprises: the device comprises a signal acquisition unit 21, a data analysis unit 22, a logic judgment unit 23 and a reset unit 24 which are connected in sequence; the signal acquisition unit 21 is connected to the sensor cluster 1, and the reset unit 24 is connected between the data analysis unit 22 and the logic determination unit 23.
The internal workflow of the feature extraction module 2 is shown in fig. 2.
Firstly, the signal acquisition unit 21 acquires and obtains characteristic quantities from each current sensor in the sensor cluster 1, and transmits the quantity characteristic quantities to the data analysis unit 22;
then, the data analysis unit 22 compares the received characteristic quantity with a built-in setting value, outputs an analysis result, and transmits the analysis result to the logic judgment unit 23;
subsequently, the logic determination unit 23 with high-speed and low-delay design is used to perform comprehensive determination on the received analysis result, and determine whether to output a blocking signal.
Finally, a reset unit 24 is added between the data analysis unit 22 and the logic judgment unit 23, and power-on reset or manual reset is performed according to actual needs.
In addition, the feature extraction module 2 is matched with an on-line monitoring system power supply system and can be obtained by 220V conversion of mains supply, and the feature extraction module 2 is provided with a metal shielding shell with a continuous surface, and the metal shielding shell is grounded.
Finally, the present embodiment further describes the fault waveform processing module 3:
the fault waveform processing module 3 includes: the device comprises a conditioning and sampling unit 31, an FPGA control unit 33, a trigger condition judging unit 34, a fault judging unit 35 and a measuring coil 36; the FPGA control unit 33 includes: a waveform data memory 331; the sensor cluster 1, the conditioning and sampling unit 31, the FPGA control unit 33, and the trigger condition determination unit 34 are sequentially connected, the trigger condition determination unit 34 is connected to the waveform data storage 331, the waveform data storage 331 is connected to the fault determination unit, and the measurement coil 36 is connected between the conditioning and sampling unit 31 and the sensor cluster 1. Wherein, the conditioning and sampling unit 31 includes: an active integrating sub-unit 311, a signal conditioning sub-unit 312 and an A/D sampling sub-unit 313.
The internal work flow of the fault waveform processing module 3 is shown in fig. 3.
The characteristic quantity obtained by monitoring each current sensor in the sensor cluster 1 is subjected to active integration, signal conditioning and 8-bit A/D sampling by the conditioning and sampling unit 31, and then a digital quantity signal is transmitted to the FPGA control unit 33. As can be seen from the figure, before the conditioning and sampling unit 31, a measuring coil 36 is connected. The measuring coil 36 has the effect that the conditioning and sampling unit is not directly connected to the current sensors in the sensor cluster 1, so that an efficient isolation is achieved. For example, the required current is indirectly obtained by sampling the voltages at two ends through a series resistor, the requirement on a front protection circuit is high, and the flashover current can damage the system.
It should be noted that, in the conditioning and sampling unit 31, the sampling circuit part is based on frequency conversion sampling, and is a low sampling rate in a normal condition, and is adjusted to a high sampling rate in an abnormal condition, so as to sample and store waveforms in time, and thus, the frequency conversion sampling meets the requirements of speed and storage capacity at the same time.
Next, the sampled digital quantity is sent to the FPGA control unit 33 for buffering. The buffered data is overwritten by the subsequently transmitted data after a period of time. Subsequently, the data in the FPGA control unit 33 is sent to the trigger condition judgment unit 34 for comparison and judgment. And if the triggering conditions are met, namely the characteristic quantities of the lightning interference current, the flashover current and the capacitor breakdown current exceed the set threshold voltage, the waveform data are delayed for 2s and then are immediately stored in a waveform data memory 331 in the FPGA. It should be noted that the recorded and stored abnormal waveform data may be subjected to digital-to-analog conversion by a D/a converter and output to an oscilloscope for display, or the digital quantity may be sent to an upper computer, where the waveform is restored and analyzed.
Finally, the fault determining unit 35 compares and determines the abnormal waveform to obtain the fault category.
The comprehensive characteristic quantity extraction module obtains a judgment result for determining whether to output the blocking signal, and the fault waveform processing module 3 obtains an abnormal waveform and fault category judgment result, so that the state of the direct-current voltage transformer is monitored in real time.
Further, the fault type analyzed by the fault determining unit 35 is timely transmitted to the alarm signal transmitting unit, and the alarm signal transmitting unit generates and transmits an alarm signal according to the fault type. If the abnormal waveform shows that the capacitor breaks down, an alarm signal is sent to a control room so as to carry out timely maintenance protection. And analyzing the recorded abnormal waveform data, and further mastering the abnormal fault waveform characteristic parameters of the direct current transformer so as to provide a reference basis for the protection work of the direct current transformer.
In order to reduce the electromagnetic shielding cost, the present embodiment installs the feature quantity extraction module in the same device as the fault waveform processing module 3.
Generally, the direct current voltage transformer obtains a primary current of a voltage divider of the direct current voltage transformer, a leakage current on the surface of an outer sleeve of the direct current voltage transformer, a lightning impulse grounding current and a flashover current caused by the external insulation damage of the direct current voltage transformer through a sensor group, and locally transmits obtained data to a characteristic quantity extraction module for reducing the misoperation rate of a control protection system and improving the stability of a direct current transmission system; meanwhile, the fault waveform is transmitted to a fault waveform processing module 3 for analyzing, comparing and judging the fault type, sending an alarm signal, mastering the abnormal fault waveform characteristic parameters of the direct current transformer and effectively improving the reliability of the direct current power transmission system.
Example 2
In this embodiment, according to the monitoring system described in embodiment 1, a method for performing on-line monitoring of the state of the dc voltage transformer by using the monitoring system is correspondingly provided, which includes the following steps:
step 1: a plurality of different characteristic quantities are obtained by utilizing sensor cluster monitoring. In particular, the method of manufacturing a semiconductor device,
monitoring the primary current of a voltage divider of the direct-current voltage transformer by using a first current sensor to obtain primary current characteristic quantity;
monitoring the leakage current on the surface of the outer sleeve of the direct-current voltage transformer by using a second current sensor to obtain the characteristic quantity of the leakage current;
monitoring the lightning impulse grounding current by using a third current sensor to obtain the characteristic quantity of the lightning impulse grounding current;
and monitoring the flashover current of the external insulation damage of the direct-current voltage transformer by using the fourth current sensor to obtain the characteristic quantity of the flashover current of the insulation damage.
Step 2: and acquiring the plurality of different characteristic quantities by using a characteristic extraction module, and sequentially comparing and judging according to the plurality of different characteristic quantities to obtain a judgment result. In particular, the method of manufacturing a semiconductor device,
acquiring the plurality of different characteristic quantities by using a signal acquisition unit;
comparing the different characteristic quantities with setting values built in the data analysis unit respectively by using the data analysis unit to obtain comparison results;
and comprehensively judging the comparison result by using a logic judgment unit to obtain a judgment result of whether the locking signal is output or not.
And step 3: and acquiring the plurality of different characteristic quantities by using a fault waveform processing module, and respectively carrying out fault waveform analysis and fault type judgment according to the plurality of different characteristic quantities to obtain a fault analysis result. In particular, the method of manufacturing a semiconductor device,
collecting the plurality of different characteristic quantities by using a conditioning and adopting unit;
caching the plurality of different characteristic quantities by utilizing an FPGA control unit;
extracting the different characteristic quantities from the FPGA control unit by using a trigger condition judgment unit, and respectively judging whether the different characteristic quantities exceed a set threshold voltage to obtain a judgment result;
if the judgment result is that the characteristic quantity exceeds the set threshold voltage, storing abnormal waveform data corresponding to the characteristic quantity exceeding the set threshold voltage into a waveform data storage unit;
and judging the fault type line by using a fault judging unit according to the abnormal waveform data to obtain a fault analysis result.
The abnormal waveform data can be subjected to digital-to-analog conversion by a D/A converter and then output to an oscilloscope for display, or the abnormal waveform data is sent to an upper computer for reduction and analysis;
and 4, step 4: and integrating the judgment result and the fault analysis result to obtain the state information of the direct-current voltage transformer.
In addition, an alarm signal can be generated according to the fault analysis result and sent to a control room so as to carry out timely maintenance and protection.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The utility model provides a direct current voltage transformer state on-line monitoring system which characterized in that includes: the system comprises a sensor cluster (1), a feature extraction module (2) and a fault waveform processing module (3); the sensor cluster (1) respectively sends a plurality of different monitored characteristic quantities to the characteristic extraction module (2) and the fault waveform processing module (3) through optical fibers for analysis and processing, and an online monitoring result of the state of the direct-current voltage transformer is obtained.
2. The on-line monitoring system for the state of the direct current voltage transformer according to claim 1, characterized in that the sensor cluster (1) comprises: the device comprises a first current sensor (11) for monitoring primary current of a voltage divider of the direct-current voltage transformer, a second current sensor (12) for monitoring leakage current on the surface of an outer sleeve of the direct-current voltage transformer, a third current sensor (13) for monitoring lightning impulse grounding current and a fourth current sensor (14) for monitoring flashover current caused by external insulation damage of the direct-current voltage transformer; the first current sensor (11), the second current sensor (12), the third current sensor (13) and the fourth current sensor (14) are independent from each other, and the fourth current sensor (14) is located above a bottom flange of the direct current transformer.
3. The on-line monitoring system for the state of the direct current voltage transformer as recited in claim 1, wherein the feature extraction module (2) comprises: the device comprises a signal acquisition unit (21), a data analysis unit (22), a logic judgment unit (23) and a reset unit (24) which are connected in sequence; the signal acquisition unit (21) is connected with the sensor cluster (1), and the reset unit (24) is connected between the data analysis unit (22) and the logic judgment unit (23).
4. The on-line monitoring system for the state of the direct current voltage transformer according to claim 1, wherein the fault waveform processing module (3) comprises: the device comprises a conditioning and sampling unit (31), an FPGA control unit (33), a trigger condition judgment unit (34), a fault judgment unit (35) and a measuring coil (36); the FPGA control unit (33) includes: a waveform data memory (331); the sensor cluster (1), the conditioning and sampling unit (31), the FPGA control unit (33) and the trigger condition judgment unit (34) are sequentially connected, the trigger condition judgment unit (34) is connected with the waveform data memory (331), the waveform data memory (331) is connected with the fault judgment unit (35), and the measuring coil (36) is connected between the conditioning and sampling unit (31) and the sensor cluster (1).
5. The on-line monitoring system for the state of the direct current voltage transformer as recited in claim 4, characterized in that the conditioning and sampling unit (31) comprises: the device comprises an active integration subunit (311), a signal conditioning subunit (312) and an A/D sampling subunit (313).
6. A method for on-line monitoring of the state of a dc voltage transformer using the monitoring system according to any one of claims 1 to 5, comprising the steps of:
step 1: monitoring by utilizing a sensor cluster to obtain a plurality of different characteristic quantities;
step 2: collecting the plurality of different characteristic quantities by using a characteristic extraction module, and sequentially comparing and judging according to the plurality of different characteristic quantities to obtain a judgment result;
and step 3: collecting the different characteristic quantities by using a fault waveform processing module, and respectively carrying out fault waveform analysis and fault type judgment according to the different characteristic quantities to obtain a fault analysis result;
and 4, step 4: and integrating the judgment result and the fault analysis result to obtain the state information of the direct-current voltage transformer.
7. The method for on-line monitoring of the state of the direct-current voltage transformer according to claim 6, wherein the step 1 specifically comprises the following steps:
monitoring the primary current of a voltage divider of the direct-current voltage transformer by using a first current sensor to obtain primary current characteristic quantity;
monitoring the leakage current on the surface of the outer sleeve of the direct-current voltage transformer by using a second current sensor to obtain the characteristic quantity of the leakage current;
monitoring the lightning impulse grounding current by using a third current sensor to obtain the characteristic quantity of the lightning impulse grounding current;
and monitoring the flashover current of the external insulation damage of the direct-current voltage transformer by using the fourth current sensor to obtain the characteristic quantity of the flashover current of the insulation damage.
8. The method for on-line monitoring of the state of the direct current voltage transformer according to claim 6, wherein the step 2 specifically comprises the following steps:
acquiring the plurality of different characteristic quantities by using a signal acquisition unit;
comparing the different characteristic quantities with setting values built in the data analysis unit respectively by using the data analysis unit to obtain comparison results;
and comprehensively judging the comparison result by using a logic judgment unit to obtain a judgment result of whether the locking signal is output or not.
9. The method for online monitoring of the state of the direct-current voltage transformer according to claim 6, wherein the step 3 specifically comprises:
collecting the plurality of different characteristic quantities by using a conditioning and adopting unit;
caching the plurality of different characteristic quantities by utilizing an FPGA control unit;
extracting the different characteristic quantities from the FPGA control unit by using a trigger condition judgment unit, and respectively judging whether the different characteristic quantities exceed a set threshold voltage to obtain a judgment result;
if the judgment result is that the characteristic quantity exceeds the set threshold voltage, storing abnormal waveform data corresponding to the characteristic quantity exceeding the set threshold voltage into a waveform data storage unit;
and judging the fault type line by using a fault judging unit according to the abnormal waveform data to obtain a fault analysis result.
10. The method for on-line monitoring the state of the direct current voltage transformer according to claim 9, characterized by comprising the following steps:
performing digital-to-analog conversion on the abnormal waveform data by using a D/A converter, and outputting the abnormal waveform data to an oscilloscope for display, or sending the abnormal waveform data to an upper computer for reduction and analysis;
and generating an alarm signal according to the fault analysis result, and sending the alarm signal to a control room.
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| CN202210028419.2A CN114371437A (en) | 2022-01-11 | 2022-01-11 | DC voltage transformer state online monitoring system and monitoring method |
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| CN117970167A (en) * | 2024-03-28 | 2024-05-03 | 深圳市力生美半导体股份有限公司 | Switching power supply fault prediction device and method and electronic equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117970167A (en) * | 2024-03-28 | 2024-05-03 | 深圳市力生美半导体股份有限公司 | Switching power supply fault prediction device and method and electronic equipment |
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