CN115508598A - Fault on-line monitoring system and method for high-voltage insulating sleeve - Google Patents
Fault on-line monitoring system and method for high-voltage insulating sleeve Download PDFInfo
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- CN115508598A CN115508598A CN202211259283.2A CN202211259283A CN115508598A CN 115508598 A CN115508598 A CN 115508598A CN 202211259283 A CN202211259283 A CN 202211259283A CN 115508598 A CN115508598 A CN 115508598A
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- insulating sleeve
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R15/00—Details of measuring arrangements of the types provided for in groups G01R17/00 - G01R29/00, G01R33/00 - G01R33/26 or G01R35/00
- G01R15/14—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks
- G01R15/18—Adaptations providing voltage or current isolation, e.g. for high-voltage or high-current networks using inductive devices, e.g. transformers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/26—Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
- G01R27/2688—Measuring quality factor or dielectric loss, e.g. loss angle, or power factor
- G01R27/2694—Measuring dielectric loss, e.g. loss angle, loss factor or power factor
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
Abstract
The invention discloses a fault on-line monitoring system for a high-voltage insulating sleeve, wherein a processor of the system reports a high-voltage insulating sleeve dielectric loss fault to a server when a relative dielectric loss value is not in a real dielectric loss value range; when the real-time temperature inside the transformer high-voltage insulating sleeve is not within the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the processor reports the fault that the temperature of the high-voltage insulating sleeve exceeds the standard to the server, and when the real-time air pressure inside the transformer high-voltage insulating sleeve is not within the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, the processor reports the fault that the air pressure inside the high-voltage insulating sleeve exceeds the standard to the server. The invention solves the problem that the fault detection of the existing transformer insulation sleeve is mainly to manually detect regularly by means of equipment manually and cannot predict the sudden fault in advance.
Description
Technical Field
The invention relates to the technical field of high-voltage insulating bushing monitoring, in particular to a fault on-line monitoring system and method for a high-voltage insulating bushing.
Background
The transformer insulating sleeve is an important component of the transformer, leads high-voltage and low-voltage leads inside the transformer to the outside of an oil tank, and not only serves as ground insulation of the leads, but also plays a role in fixing the leads. Therefore, it must have a prescribed electrical strength and sufficient mechanical strength. Meanwhile, the transformer insulating sleeve is also one of current-carrying elements of the transformer, and has good thermal stability, and can bear long-term heating generated by working current when the transformer normally operates and instant overheating when short-circuit current passes.
The transformer insulating sleeve has defects or faults, the safe and stable operation of the transformer is directly endangered, the conventional fault detection of the transformer insulating sleeve is mainly realized manually by means of equipment manually at regular intervals, sudden faults cannot be predicted in advance, and the normal use of the equipment is influenced.
Disclosure of Invention
The invention aims to provide a fault on-line monitoring system and method for a high-voltage insulating sleeve, which have the advantages of monitoring the fault of the high-voltage insulating sleeve in real time and the like, and solve the problem that the fault detection of the existing transformer insulating sleeve is mainly realized manually by means of equipment for periodic detection manually, and sudden faults cannot be predicted in advance.
In order to achieve the purpose, the invention designs a fault on-line monitoring system for a high-voltage insulating sleeve, which is characterized by comprising a temperature sensor, a pressure sensor, a processor, a voltage transformer and a server;
the temperature and air pressure sensor is used for acquiring the temperature and air pressure values in the high-voltage insulating sleeve of the transformer in real time;
the current sensor in the voltage transformer is used for monitoring the leakage current of the insulating shell of the transformer oil tank in real time, and the voltage sensor in the voltage transformer is used for collecting the voltage value of each high-voltage insulating sleeve in real time;
the processor is used for calculating the dielectric loss value of each high-voltage insulating sleeve according to the real-time voltage value and resistance value of each high-voltage insulating sleeve and the leakage current of the insulating shell of the transformer oil tank, calculating a relative dielectric loss value according to the dielectric loss value of the adjacent high-voltage insulating sleeve, prestoring a real dielectric loss value range of the adjacent high-voltage insulating sleeve in the processor, and reporting a high-voltage insulating sleeve dielectric loss fault to the server when the relative dielectric loss value is not in the real dielectric loss value range;
the processor is used for carrying out threshold value comparison analysis on the real-time temperature and air pressure value inside the transformer high-voltage insulating sleeve, the rated range value of the temperature inside the transformer high-voltage insulating sleeve and the rated range value of the air pressure inside the transformer high-voltage insulating sleeve are stored in the processor, the processor is used for comparing the real-time temperature inside the transformer high-voltage insulating sleeve with the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the real-time air pressure inside the transformer high-voltage insulating sleeve is compared with the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, when the real-time temperature inside the transformer high-voltage insulating sleeve is not within the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the processor reports the high-voltage insulating sleeve temperature exceeding fault to the server, and when the real-time air pressure inside the transformer high-voltage insulating sleeve is not within the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, the processor reports the high-voltage insulating sleeve air pressure exceeding fault to the server.
The server is used for predicting the dielectric loss value of each high-voltage insulating sleeve at each subsequent moment by a machine learning algorithm of a random forest or a support vector machine according to the real-time voltage value and the resistance value of each high-voltage insulating sleeve and the leakage current of the insulating shell of the transformer oil tank by adopting a dielectric loss value prediction model, calculating the relative dielectric loss value of each subsequent moment according to the dielectric loss value of the adjacent high-voltage insulating sleeve at each subsequent moment, and reporting the possible occurrence of the dielectric loss fault of the high-voltage insulating sleeve at the subsequent moment to the server by the processor when the relative dielectric loss value of a certain subsequent moment is not within the range of the real dielectric loss value.
The invention has the beneficial effects that:
1. the temperature and pressure integrated sensor can monitor the fault of the high-voltage insulating sleeve in real time, improve the potential fault diagnosis level of equipment, eliminate the fault in a budding state and improve the power supply reliability; can study sleeve pipe internal pressure and temperature through microprocessor and signal transmitter, study the relation of pressure and temperature under the different conditions, establish monitor terminal at the equipment body, realize the synchronous sampling of various signals to realize the analysis of various data at the background, and then catch sleeve pipe internal state characteristics, provide reliable foundation for equipment state fault diagnosis.
2. According to the invention, through the arranged voltage transformer, the insulation judgment of the high-voltage insulating sleeve can be conveniently carried out by maintenance personnel through the acquired dielectric loss and leakage current, so that a reliable basis is further provided for equipment state fault diagnosis.
3. The method predicts the possible high-voltage insulating sleeve dielectric loss fault through a machine learning algorithm, and realizes the advance prediction of the sudden fault.
Drawings
FIG. 1 is a schematic structural view of the present invention;
the system comprises a temperature sensor, a pressure sensor, a processor, a signal transmitter, a voltage transformer and a server, wherein the temperature sensor, the pressure sensor, the processor, the signal transmitter, the voltage transformer and the server are 1.
Detailed Description
The invention is described in further detail below with reference to the following figures and specific examples:
the on-line fault monitoring system for the high-voltage insulating sleeve shown in the figure 1 comprises a temperature and air pressure sensor 1, a processor 2, a signal transmitter 3, a voltage transformer 4 and a server 5;
the temperature and air pressure sensor 1 is used for acquiring the temperature and air pressure values in the high-voltage insulating sleeve of the transformer in real time;
the current sensor in the voltage transformer 4 is used for monitoring the leakage current of the insulating shell of the transformer oil tank in real time, and the voltage sensor in the voltage transformer 4 is used for collecting the voltage value of each high-voltage insulating sleeve in real time;
the processor 2 is configured to calculate a dielectric loss value of each high-voltage bushing according to a real-time voltage value and a real-time resistance value (the resistance value is a known value) of each high-voltage bushing and a leakage current of an insulating housing of a transformer tank, where the dielectric loss value P = UIR, U is a voltage value of the high-voltage bushing, I is a leakage current of the insulating housing of the transformer tank, and R is a resistance value of the high-voltage bushing, and a relative dielectric loss value is calculated according to a dielectric loss value of an adjacent high-voltage bushing, a real dielectric loss value range of the adjacent high-voltage bushing is prestored in the processor 2, and when the relative dielectric loss value is not within the real dielectric loss value range, the processor 2 reports a dielectric loss fault of the high-voltage bushing to the server 5, where the dielectric loss is an insulating property, and if the dielectric loss is in the fault, the dielectric temperature will rise too high, which accelerates thermal decomposition and aging of the dielectric, and may eventually cause the dielectric to completely lose the insulating property. The dielectric loss has the fault, which means that the dielectric temperature rises, and the abnormal dielectric loss can independently act on the temperature monitoring of the transformer bushing;
the processor 2 is used for reporting leakage current faults of the high-voltage insulating sleeve to the server 5 when the current sensor monitors that the leakage current exists in the insulating shell of the transformer oil tank, and the leakage current serving as one of influence factors for monitoring the temperature and the pressure of the transformer sleeve can also independently act on the temperature monitoring of the transformer sleeve. Judging that the current is abnormal when the current exceeds a rated value;
the processor 2 is used for analyzing the real-time temperature and air pressure value inside the transformer high-voltage insulating sleeve by a threshold comparison method, the processor 2 stores a rated range value of the temperature inside the transformer high-voltage insulating sleeve and a rated range value of the air pressure inside the transformer high-voltage insulating sleeve, the processor 2 is used for comparing the real-time temperature inside the transformer high-voltage insulating sleeve with the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the real-time air pressure inside the transformer high-voltage insulating sleeve is compared with the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, when the real-time temperature inside the transformer high-voltage insulating sleeve is not within the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the processor 2 reports the high-voltage insulating sleeve temperature exceeding fault to the server 5, and when the real-time air pressure inside the transformer high-voltage insulating sleeve is not within the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, the processor 2 reports the high-voltage insulating sleeve air pressure exceeding fault to the server 5. Therefore, the temperature and the air pressure of the transformer bushing can be monitored directly by transmitting the monitored air pressure data to the processor 2 and finally to the server.
In the above technical scheme, the dielectric loss is calculated by using an adjacent casing phase comparison algorithm to obtain a relative dielectric loss value: and (3) measuring and calculating the dielectric loss of each bushing on the transformer independently (the dielectric loss value depends on a current sensor and a voltage sensor integrated in a voltage transformer), forming data among the bushings, if one of the dielectric loss values is an abnormal value, comparing the abnormal value with other normal values with small relative change amplitude, and defining the value as a relative dielectric loss value if the abnormal value is different from the other normal values. The real dielectric loss value is energy (power) theoretically consumed in unit time due to heating, the relative dielectric loss value is compared with the real dielectric loss value obtained through theoretical calculation, and according to the real dielectric loss value calculated through the theory, if the relative dielectric loss value is inconsistent with the real dielectric loss value, the abnormality is judged. When the temperature in the oil conservator is increased, the pressure in the internal space is reduced and increased due to the thermal expansion of the oil.
In the technical scheme, the temperature and air pressure sensor 1 is arranged on the inner wall of the oil conservator of the high-voltage insulating sleeve, wherein the upper side of the inner part of the oil conservator is higher than the oil liquid level;
and the voltage transformer 4 is arranged on a flange plate of the sleeve.
In the above technical solution, the server 5 is configured to send a high voltage bushing alarm when one or more of a high voltage bushing dielectric loss fault, a high voltage bushing leakage current fault, a bushing temperature exceeding fault, and a high voltage bushing air pressure exceeding fault occur.
In the above technical solution, the server 5 is configured to predict the dielectric loss value of each high-voltage insulating bushing at each subsequent time by using a dielectric loss value prediction model according to a real-time voltage value and a real-time resistance value of each high-voltage insulating bushing and a leakage current of an insulating housing of a transformer oil tank through a machine learning algorithm of a random forest or a support vector machine, calculate a relative dielectric loss value of each subsequent time according to the dielectric loss value of an adjacent high-voltage insulating bushing at each subsequent time, and report, by the processor 2, that a high-voltage insulating bushing dielectric loss fault may occur at the subsequent time to the server 5 when the relative dielectric loss value of the subsequent time is not within a real dielectric loss value range.
In the above technical solution, the processor 2 transmits the fault information to the server 5 through the signal transmitter.
The invention also comprises a power supply battery and a display, wherein the power supply battery provides a power source for the operation of the temperature and air pressure sensor 1, the processor 2, the signal transmitter 3 and the voltage transformer 4, the power supply battery is used by a wireless external power supply, the power supply battery is a coin-type imported long-life battery with a dormancy function, the power supply battery adopts a high-performance and large-capacity lithium ion battery, and the service life of the power supply battery is not less than 5 years under the condition of severe environment; the display is used for displaying the temperature and air pressure values in the transformer high-voltage insulating sleeve, the leakage current of the insulating shell of the transformer oil tank and the voltage values of the high-voltage insulating sleeves which are acquired in real time;
in this embodiment, the sensor is a temperature and pressure integrated sensor, the temperature and pressure integrated sensor selects an MEMS silicon piezoresistive sensor as a pressure measurement sensitive element, and the temperature and pressure integrated sensor selects an imported platinum resistor as a temperature measurement sensitive element.
In this embodiment, the signal transmitter is internally provided with a wireless transmission module, the wireless transmission module adopts a LoRa low-power data module, and the transmission distance of the wireless transmission module is between 10 and 500 m.
In this embodiment, the power supply battery is a coin-type import long-life battery with a dormancy function, the power supply battery adopts a high-performance and high-capacity lithium ion battery, and the service life of the power supply battery is not less than 5 years under the condition of a severe environment.
In this embodiment, the display device is a liquid crystal display, the size of the liquid crystal display is 200mm × 20mm × 200mm, and the resolution of the liquid crystal display is 1024 × 768.
In the embodiment, the high-voltage insulating sleeve of the transformer adopts the oiled paper capacitor core as main insulation and a cable-through type current-carrying mode and adopts axial pressing force generated by a plurality of groups of pressure springs to realize integral connection and main sealing of the sleeve.
A fault on-line monitoring method of a high-voltage insulating sleeve based on the system comprises the following steps:
step 1: the temperature and air pressure sensor 1 acquires the temperature and air pressure values inside the high-voltage insulating sleeve of the transformer in real time; a current sensor in the voltage transformer 4 monitors the leakage current of the insulating shell of the transformer oil tank in real time, and a voltage sensor in the voltage transformer 4 acquires the voltage value of each high-voltage insulating sleeve in real time;
and 2, step: the processor 2 calculates the dielectric loss value of each high-voltage insulating sleeve according to the real-time voltage value and resistance value of each high-voltage insulating sleeve and the leakage current of the insulating shell of the transformer oil tank, calculates the relative dielectric loss value according to the dielectric loss value of the adjacent high-voltage insulating sleeve, prestores the real dielectric loss value range of the adjacent high-voltage insulating sleeve in the processor 2, and reports the dielectric loss fault of the high-voltage insulating sleeve to the server 5 when the relative dielectric loss value is not in the real dielectric loss value range;
when the current sensor monitors that the leakage current exists in the insulating shell of the transformer oil tank, the processor 2 reports the leakage current fault of the high-voltage insulating sleeve to the server 5;
the processor 2 analyzes the real-time temperature and air pressure value inside the high-voltage insulating sleeve of the transformer by a threshold comparison method, the processor 2 stores a rated range value of the temperature inside the high-voltage insulating sleeve of the transformer and a rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, the processor 2 is used for comparing the real-time temperature inside the high-voltage insulating sleeve of the transformer with the rated range value of the temperature inside the high-voltage insulating sleeve of the transformer, the real-time air pressure inside the high-voltage insulating sleeve of the transformer with the rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, when the real-time temperature inside the high-voltage insulating sleeve of the transformer is not within the rated range value of the temperature inside the high-voltage insulating sleeve of the transformer, the processor 2 reports the fault that the temperature of the high-voltage insulating sleeve exceeds the standard to the server 5, and when the real-time air pressure inside the high-voltage insulating sleeve of the transformer is not within the rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, the processor 2 reports the fault that the air pressure inside the high-voltage insulating sleeve exceeds the standard to the high-voltage insulating sleeve of the server 5;
and step 3: the server 5 predicts the dielectric loss value of each high-voltage insulating bushing at each subsequent moment by a machine learning algorithm of a random forest or a support vector machine by adopting a dielectric loss value prediction model according to the real-time voltage value and the real-time resistance value of each high-voltage insulating bushing and the leakage current of the insulating shell of the transformer oil tank, calculates the relative dielectric loss value of each subsequent moment according to the dielectric loss value of the adjacent high-voltage insulating bushing at each subsequent moment, and reports that the dielectric loss fault of the high-voltage insulating bushing at the subsequent moment is possibly generated to the server 5 by the processor 2 when the relative dielectric loss value of a certain subsequent moment is not within the range of the real dielectric loss value.
Those not described in detail in this specification are well within the skill of the art.
Claims (7)
1. A fault on-line monitoring system for a high-voltage insulating bushing is characterized by comprising a temperature sensor, a pressure sensor, a processor (2), a voltage transformer (4) and a server (5);
the temperature and air pressure sensor (1) is used for acquiring the temperature and air pressure values inside the high-voltage insulating sleeve of the transformer in real time;
a current sensor in the voltage transformer (4) is used for monitoring the leakage current of the insulating shell of the transformer oil tank in real time, and a voltage sensor in the voltage transformer (4) is used for acquiring the voltage value of each high-voltage insulating sleeve in real time;
the processor (2) is used for calculating a dielectric loss value of each high-voltage insulating sleeve according to a real-time voltage value and a real-time resistance value of each high-voltage insulating sleeve and leakage current of an insulating shell of a transformer oil tank, calculating a relative dielectric loss value according to the dielectric loss value of an adjacent high-voltage insulating sleeve, pre-storing a real dielectric loss value range of the adjacent high-voltage insulating sleeve in the processor (2), and reporting a high-voltage insulating sleeve dielectric loss fault to the server (5) by the processor (2) when the relative dielectric loss value is not in the real dielectric loss value range;
the processor (2) is used for analyzing a real-time temperature and air pressure value inside the transformer high-voltage insulating sleeve by a threshold comparison method, a rated range value of the temperature inside the transformer high-voltage insulating sleeve and a rated range value of the air pressure inside the transformer high-voltage insulating sleeve are stored in the processor (2), the processor (2) is used for comparing the real-time temperature inside the transformer high-voltage insulating sleeve with the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the real-time air pressure inside the transformer high-voltage insulating sleeve is compared with the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, when the real-time temperature inside the transformer high-voltage insulating sleeve is not within the rated range value of the temperature inside the transformer high-voltage insulating sleeve, the processor (2) reports a high-voltage insulating sleeve temperature exceeding fault to the server (5), and when the real-time air pressure inside the transformer high-voltage insulating sleeve is not within the rated range value of the air pressure inside the transformer high-voltage insulating sleeve, the processor (2) reports the high-voltage insulating sleeve air pressure exceeding fault to the server (5).
2. An on-line fault monitoring system for a high voltage insulating bushing according to claim 1, characterized in that: and the temperature and air pressure sensor (1) is arranged on the inner wall of the upper side in the oil conservator of the high-voltage insulating sleeve, which is higher than the oil liquid level.
3. A fault on-line monitoring system for a high voltage insulating bushing according to claim 1, characterized in that: and the voltage transformer (4) is arranged on a flange plate of the sleeve.
4. An on-line fault monitoring system for a high voltage insulating bushing according to claim 1, characterized in that: the server (5) is used for sending out a high-voltage insulating sleeve alarm when one or more of a high-voltage insulating sleeve medium loss fault, an insulating sleeve temperature exceeding fault and a high-voltage insulating sleeve air pressure exceeding fault occur.
5. A fault on-line monitoring system for a high voltage insulating bushing according to claim 1, characterized in that: the server (5) is used for predicting the dielectric loss value of each high-voltage insulating bushing at each subsequent moment by a machine learning algorithm of a random forest or a support vector machine according to the real-time voltage value and the resistance value of each high-voltage insulating bushing and the leakage current of the insulating shell of the transformer oil tank by adopting a dielectric loss value prediction model, calculating the relative dielectric loss value of each subsequent moment according to the dielectric loss value of the adjacent high-voltage insulating bushing at each subsequent moment, and reporting that the high-voltage insulating bushing dielectric loss fault possibly occurs at the subsequent moment to the server (5) by the processor (2) when the relative dielectric loss value of the subsequent moment is not within the range of the real dielectric loss value.
6. An on-line fault monitoring system for a high voltage insulating bushing according to claim 1, characterized in that: and the processor (2) transmits the fault information to the server (5) through the signal transmitter (3).
7. A method for on-line monitoring of faults in a high voltage bushing based on the system of claim 1, comprising the steps of:
step 1: the temperature and air pressure sensor (1) acquires the temperature and air pressure values inside the high-voltage insulating sleeve of the transformer in real time; a current sensor in the voltage transformer (4) monitors the leakage current of the insulating shell of the transformer oil tank in real time, and a voltage sensor in the voltage transformer (4) collects the voltage value of each high-voltage insulating sleeve in real time;
step 2: the processor (2) calculates the dielectric loss value of each high-voltage insulating sleeve according to the real-time voltage value and resistance value of each high-voltage insulating sleeve and the leakage current of the insulating shell of the transformer oil tank, calculates the relative dielectric loss value according to the dielectric loss value of the adjacent high-voltage insulating sleeve, prestores the real dielectric loss value range of the adjacent high-voltage insulating sleeve in the processor (2), and reports the dielectric loss fault of the high-voltage insulating sleeve to the server (5) when the relative dielectric loss value is not in the real dielectric loss value range;
the processor (2) analyzes the real-time temperature and air pressure value inside the high-voltage insulating sleeve of the transformer by a threshold comparison method, the processor (2) stores a rated range value of the temperature inside the high-voltage insulating sleeve of the transformer and a rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, the processor (2) is used for comparing the real-time temperature inside the high-voltage insulating sleeve of the transformer with the rated range value of the temperature inside the high-voltage insulating sleeve of the transformer and comparing the real-time air pressure inside the high-voltage insulating sleeve of the transformer with the rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, when the real-time temperature inside the high-voltage insulating sleeve of the transformer is not within the rated range value of the temperature inside the high-voltage insulating sleeve of the transformer, the processor (2) reports the temperature exceeding fault of the high-voltage insulating sleeve to the server (5), and when the real-time air pressure inside the high-voltage insulating sleeve of the transformer is not within the rated range value of the air pressure inside the high-voltage insulating sleeve of the transformer, the processor (2) reports the air pressure exceeding fault of the high-voltage insulating sleeve to the server (5);
and step 3: the server (5) predicts the dielectric loss value of each high-voltage insulating sleeve at each subsequent moment by a machine learning algorithm of a random forest or a support vector machine by adopting a dielectric loss value prediction model according to the real-time voltage value and the real-time resistance value of each high-voltage insulating sleeve and the leakage current of the insulating shell of the transformer oil tank, calculates the relative dielectric loss value at each subsequent moment according to the dielectric loss value of the adjacent high-voltage insulating sleeve at each subsequent moment, and reports the possible occurrence of the dielectric loss fault of the high-voltage insulating sleeve at the subsequent moment to the server (5) by the processor (2) when the relative dielectric loss value at the subsequent moment is not in the range of the real dielectric loss value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211259283.2A CN115508598A (en) | 2022-10-14 | 2022-10-14 | Fault on-line monitoring system and method for high-voltage insulating sleeve |
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| CN202211259283.2A CN115508598A (en) | 2022-10-14 | 2022-10-14 | Fault on-line monitoring system and method for high-voltage insulating sleeve |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172555A (en) * | 2023-11-02 | 2023-12-05 | 合肥优尔电子科技有限公司 | Intelligent generation system for power grid risk early warning notification |
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2022
- 2022-10-14 CN CN202211259283.2A patent/CN115508598A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117172555A (en) * | 2023-11-02 | 2023-12-05 | 合肥优尔电子科技有限公司 | Intelligent generation system for power grid risk early warning notification |
| CN117172555B (en) * | 2023-11-02 | 2024-01-19 | 合肥优尔电子科技有限公司 | Intelligent generation system for power grid risk early warning notification |
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