CN116804690A - Transformer fault detection method and device, electronic equipment and storage medium - Google Patents
Transformer fault detection method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a transformer fault detection method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining fault detection variable data of a transformer to be detected; calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation; determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode; and performing fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected. The technical scheme of the embodiment of the invention improves the accuracy of transformer fault detection.
Description
Technical Field
The embodiment of the invention relates to the technical field of fault detection, in particular to a transformer fault detection method, a transformer fault detection device, electronic equipment and a storage medium.
Background
In power equipment of a power system, a power transformer is extremely important, and thus periodic fault detection of the transformer is very necessary.
The prior art detects the transformer and mainly measures the oil temperature of the upper part, the middle part and the lower part of a transformer oil tank, and detects the fault of the transformer according to the oil temperature in the oil tank.
The inventors have found that the following problems exist in the prior art in the process of implementing the present invention: because the oil temperature of the upper part, the middle part and the lower part of the transformer oil tank can not accurately represent the temperature near the electrode, and the temperature near the electrode directly or indirectly influences the fault rate of the transformer, the existing fault detection method for the transformer according to the oil temperature of the transformer oil tank has the problem of low accuracy.
Disclosure of Invention
The embodiment of the invention provides a transformer fault detection method, a device, electronic equipment and a storage medium, which improve the accuracy of transformer fault detection.
According to an aspect of the present invention, there is provided a transformer fault detection method, including:
obtaining fault detection variable data of a transformer to be detected;
calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation;
determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode;
And performing fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
According to another aspect of the present invention, there is provided a transformer fault detection apparatus including:
the fault detection variable data acquisition module is used for acquiring fault detection variable data of the transformer to be detected;
the electrode discharge gap nearby temperature calculation module is used for calculating the current oil tank electrode discharge gap nearby temperature of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation;
the current reference temperature parameter determining module is used for determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode;
and the transformer fault detection module is used for carrying out fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
The memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the transformer fault detection method according to any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the transformer fault detection method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, the fault detection variable data of the transformer to be detected are obtained, so that the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected is calculated according to the fault detection variable data and the transformer fault detection regression equation, and then the current reference temperature parameter is determined according to the temperature near the discharge gap of the electrode of the current oil tank, so that the transformer to be detected is subjected to fault detection according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected, the problem that the fault detection accuracy of the existing transformer is low is solved, and the fault detection accuracy of the transformer is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a transformer fault detection method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a transformer fault detection method according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a method for calculating a temperature near a discharge gap of an oil tank electrode according to a second embodiment of the present invention;
fig. 4 is a schematic diagram of a transformer fault detection device according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a transformer fault detection method provided in an embodiment of the present invention, where the embodiment is applicable to a case of performing fault diagnosis on a transformer according to a temperature near a discharge gap of an electrode of an oil tank, and the method may be performed by a transformer fault detection device, where the device may be implemented by software and/or hardware, and may be generally integrated in an electronic device, where the electronic device may be a terminal device or a server device, and the embodiment of the present invention is not limited to a specific device type of the electronic device. Accordingly, as shown in fig. 1, the method includes the following operations:
s110, acquiring fault detection variable data of the transformer to be detected.
The transformer to be detected may be a transformer for which fault diagnosis is required. The fault detection variable data may be raw data that needs to be collected for transformer fault detection.
In the embodiment of the invention, the fault detection variable data of the transformer to be detected can be a flow velocity value of a circulating runner of the transformer oil tank to be detected, a heating power value of a heating pipe in the transformer oil tank to be detected, and a temperature value of oil temperature at the upper layer of the oil tank. The fault detection variable data of the transformer to be detected can be measured by professional equipment. In the embodiment of the invention, the specific data type of the fault detection variable data and the acquisition method of the fault detection variable data are not limited.
And S120, calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation.
The transformer fault detection regression equation may be an expression for expressing a multiple regression relationship between fault detection variable data and a temperature near the discharge gap of the tank electrode. The current temperature near the discharge gap of the fuel tank electrode can be the temperature value between the two electrodes of the fuel tank in the current state.
Correspondingly, the fault detection variable data of the transformer can be brought into a transformer fault detection regression equation, and the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected can be obtained through operation. Alternatively, the transformer fault detection regression equation may be obtained by loading fault detection variable data after simulation modeling is performed on components in the oil tank by using simulation software, and performing multiple regression analysis on the fault detection variable data. Alternatively, the regression equation for detecting the transformer fault may be determined by analyzing a large number of sample data related to the transformer, and the embodiment of the present invention does not limit the manner of determining the regression equation for detecting the transformer fault.
S130, determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode.
The current reference temperature parameter may be a parameter indicating a fault type of the transformer preliminarily determined according to a temperature near the discharge gap of the current tank electrode.
After the temperature near the discharge gap of the electrode of the current oil tank is obtained according to the steps, the current reference temperature parameter can be determined according to the temperature near the discharge gap of the electrode of the current oil tank. By way of example, assuming a current tank electrode discharge gap temperature of 120 ℃, a current reference temperature parameter of 1 may be determined; assuming that the temperature near the discharge gap of the current oil tank electrode is 170 ℃, determining that the current reference temperature parameter is 2; assuming that the temperature near the discharge gap of the current oil tank electrode is 350 ℃, determining that the current reference temperature parameter is 3; assuming that the current tank electrode discharge gap vicinity temperature is 800 ℃, the current reference temperature parameter may be determined to be 4. In the embodiment of the present invention, the mapping relationship between the current tank electrode discharge gap vicinity temperature and the current reference temperature parameter is not specifically defined. It will be appreciated that the values of the reference temperature parameters are different, representing the type of fault of the transformer as initially determined. For example, when the current reference temperature parameter is 1, the fault type primarily determined by the transformer to be detected may be indicated as a slight overheat fault, when the current reference temperature parameter is 2, the fault type primarily determined by the transformer to be detected may be indicated as a low-temperature overheat fault, when the current reference temperature parameter is 3, the fault type primarily determined by the transformer to be detected may be indicated as a medium-temperature overheat fault, and when the current reference temperature parameter is 4, the fault type primarily determined by the transformer to be detected may be indicated as a high-temperature overheat fault.
And S140, performing fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
The current tank gas data may be data representing the distribution of dissolved gas in the oil.
In the embodiment of the invention, the transformer to be detected can be subjected to fault detection according to the current reference temperature parameter and the current oil tank gas data. The current tank gas data may be gas data for a primary gas and a secondary gas in the current tank. The main gas of the current oil tank can be C 2 H 2 And/or C 2 H 4 The secondary gas of the current oil tank can be CH 4 /H 2 . The fault types of the transformer to be detected can comprise a slight overheat fault, a low-temperature overheat fault, a medium-temperature overheat fault, a high-temperature overheat fault and the like, and the embodiment of the invention does not limit the specific data type of the current tank gas data and the specific fault type of the transformer to be detected.
In a specific example, the fault detection of the transformer to be detected may be performed according to the current reference temperature parameter and the current primary gas data of the tank and the current secondary gas data of the tank. Assume that main gas C in current oil tank is determined according to current oil tank gas data 2 H 2 When the gas data of the transformer to be detected is smaller than 0.1 and the current reference temperature parameter is 1, the current fault type of the transformer to be detected can be determined to be a slight overheat fault; assume that main gas C in current oil tank is determined according to current oil tank gas data 2 H 2 When the gas data of the transformer to be detected is larger than 3 and the current reference temperature parameter is 1, determining that the current fault type of the transformer to be detected is a low-temperature overheat fault; assume that main gas C in current oil tank is determined according to current oil tank gas data 2 H 2 When the gas data of the transformer to be detected is smaller than 0.1 and the current reference temperature parameter is 3, the current fault type of the transformer to be detected can be determined to be a medium-temperature overheat fault; assume that the determination of the time is based on current tank gas dataMain gas C in front oil tank 2 H 2 When the gas data of the transformer to be detected is smaller than 0.1 and the current reference temperature parameter is 4, the current fault type of the transformer to be detected can be determined to be a high-temperature overheat fault.
According to the technical scheme, the temperature near the discharge gap of the oil tank electrode is introduced, so that the problem that the temperature near the electrode cannot be accurately represented by the oil temperature near the oil tank of the transformer, and the accuracy of a transformer fault detection method is not high is directly or indirectly affected, and the accuracy of the transformer fault detection is improved.
According to the technical scheme, the fault detection variable data of the transformer to be detected are obtained, so that the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected is calculated according to the fault detection variable data and the transformer fault detection regression equation, and then the current reference temperature parameter is determined according to the temperature near the discharge gap of the electrode of the current oil tank, so that the transformer to be detected is subjected to fault detection according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected, the problem that the fault detection accuracy of the existing transformer is low is solved, and the fault detection accuracy of the transformer is improved.
Example two
Fig. 2 is a flowchart of a transformer fault detection method according to a second embodiment of the present invention, which is embodied based on the foregoing embodiment, and in this embodiment, various specific alternative implementations of obtaining fault detection variable data of a transformer to be detected and performing fault detection on the transformer to be detected are provided. Accordingly, as shown in fig. 2, the method of this embodiment may include:
s210, establishing a discharge gap temperature prediction simulation model of the transformer oil tank electrode.
The discharge gap temperature prediction simulation model can be a simulation model which is obtained through simulation of simulation software and is used for measuring the discharge gap temperature of the transformer oil tank electrode.
In an alternative embodiment of the present invention, the creating a discharge gap temperature prediction simulation model of the transformer tank electrode may include: and setting the electrode position of the transformer oil tank and the heating pipe position through preset modeling software, and taking the internal structure of the simulated transformer oil tank as the discharge gap temperature prediction simulation model.
The electrode position can be the actual position of the electrode in the transformer oil tank, the heating pipe position can be the actual position of the heating pipe in the transformer oil tank, and the internal structure of the simulation transformer oil tank can be used for representing the placement position and connection relation of components in the transformer oil tank.
In a specific embodiment, a discharge gap temperature predictive simulation model may be built using comsol (Comsol Multiphysics, finite element analysis simulation). Specifically, the fixed environment temperature can be set to be the room temperature of 25 ℃, heating pipes are arranged outside the safe distance, the electrode position and the heating pipe position of the transformer oil tank are set according to the internal structure of the simulation transformer oil tank, and after the setting is completed, a discharge gap temperature prediction simulation model can be obtained. By establishing a discharge gap temperature prediction simulation model, the problem that the temperature near the discharge gap cannot be directly measured due to the fact that a temperature sensor cannot be arranged near the discharge gap of the electrode can be solved, and therefore the accuracy of a transformer fault detection method is directly or indirectly affected.
In an alternative embodiment of the present invention, the determining the transformer fault detection regression equation by the discharge gap temperature prediction simulation model may include: loading a power flow rate array based on the discharge gap temperature prediction simulation model; measuring the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank under the arrays of different power flow rates; and generating the transformer fault detection regression equation according to the power flow rate array, the temperature near the electrode gap of the oil tank and the mapping relation between the oil temperature of the upper layer of the oil tank.
The power flow rate array can be a flow rate value of a circulating flow channel of the transformer oil tank and a heating power value of the heating pipe which are configured in advance in a self-defined mode on simulation software according to own requirements. The temperature near the tank electrode gap may be used to indicate the gap temperature between the tank electrodes. The upper oil temperature of the tank may be a temperature indicative of the upper surface of the tank.
Correspondingly, the discharge gap temperature prediction simulation model can automatically load the power flow velocity array, and measure the temperature near the gap of the oil tank electrode and the oil temperature on the upper layer of the oil tank under different power flow velocity arrays. And performing multiple regression analysis on the power flow velocity array, the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank, which are obtained by the steps, so that a mapping relation among the power flow velocity array, the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank can be obtained, and a transformer fault detection regression equation can be generated through the mapping relation.
S220, determining the gas distribution range of dissolved gas in target oil of the transformer oil tank.
S230, coding the ratio of the dissolved gas in the target oil according to the gas distribution range of the dissolved gas in the target oil, and obtaining the coded data of the ratio of the dissolved gas in the oil.
The dissolved gas in the target oil can be the primary gas and the secondary gas dissolved in the oil tank. The gas distribution range may be a range of values for the gas content of dissolved gas in the oil. The code data of the ratio of the dissolved gas in the oil can be code data obtained by coding the dissolved gas in the target oil according to the gas distribution range.
In the embodiment of the invention, the oil pumping treatment can be performed on the transformer to obtain the gas distribution range of the dissolved gas in the target oil of the transformer oil tank. Specifically, the composition analysis and the analysis of the total hydrocarbon content can be carried out on the main gas and the secondary gas in the dissolved gas in the oil to obtain the gas distribution range of the dissolved gas in the target oil of the transformer oil tank. Furthermore, the ratio of the dissolved gas in the target oil can be coded according to the gas distribution range of the main gas and the secondary gas, and the coded data of the ratio of the dissolved gas in the oil can be obtained.
Table 1 is a table of dissolved gas ratio codes for oil provided in example two of the present invention. In a specific example, the composition analysis of the primary and secondary gases in the dissolved gas in the oil and the analysis of the total hydrocarbon content may be performed to obtain the gas distribution range of the dissolved gas in the target oil of the transformer tank. Wherein the gas isThe bulk ranges may include less than 0.1, greater than 0.1 and less than 1, greater than 1 and less than 3, and greater than 3. Further, it can be according to C 2 H 2 /C 2 H 4 、CH 4 /H 2 C 2 H 4 /C 2 H 6 The gas distribution range of (2) encodes the ratio of the dissolved gas in the target oil, and the encoding data of the ratio of the dissolved gas in the oil can be obtained. As shown in Table 1, when the gas range is less than 0.1, C can be as follows 2 H 2 /C 2 H 4 、CH 4 /H 2 C 2 H 4 /C 2 H 6 Coding to obtain coding data of the ratio of dissolved gas in oil, namely 0,1 and 0; when the gas range is more than 0.1 and less than 1, C can be as follows 2 H 2 /C 2 H 4 、CH 4 /H 2 C 2 H 4 /C 2 H 6 Coding to obtain the coding data 1,0 of the ratio of the dissolved gas in the oil; when the gas range is more than 1 and less than 3, C can be selected from 2 H 2 /C 2 H 4 、CH 4 /H 2 C 2 H 4 /C 2 H 6 Coding to obtain the ratio coding data 1,2 and 1 of the dissolved gas in the oil; when the gas range is more than 3, C can be as follows 2 H 2 /C 2 H 4 、CH 4 /H 2 C 2 H 4 /C 2 H 6 And respectively encoding to obtain the ratio encoding data 2,2 and 2 of the dissolved gas in the oil.
Table 1 table of dissolved gas ratio codes in oil
S240, acquiring fault detection variable data of the transformer to be detected.
In an alternative embodiment of the present invention, obtaining fault detection variable data of a transformer to be detected may include: acquiring heating pipe power, circulating flow rate and upper oil temperature of an oil tank of the transformer to be detected under the condition of stable working state; and taking the heating pipe power, the circulating flow rate and the upper oil temperature of the oil tank of the transformer to be detected under the condition of stable working state as the fault detection variable data.
The heating tube power can be the power of the heating tube measured by a power meter. The circulation flow rate may be a flow rate of the circulation oil passage measured by an electromagnetic flowmeter. The oil temperature of the upper layer of the oil tank may be the temperature of the upper surface of the oil tank measured by a temperature sensor.
In the embodiment of the invention, when the transformer to be detected is in a stable working state, the power of the heating pipe can be measured by using the power meter, the flow rate of the circulating oil duct near the upper part of the oil tank can be measured by using the electromagnetic flowmeter, the temperature of the upper surface of the oil tank can be measured by using the temperature sensor, and the power of the heating pipe, the circulating flow rate and the upper oil temperature of the oil tank under the condition of the transformer to be detected in the stable working state are taken as fault detection variable data.
S250, calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation.
Correspondingly, the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected can be calculated according to the heating pipe power, the circulating flow rate, the upper oil temperature of the oil tank and the fault detection regression equation of the transformer to be detected under the condition of stable working state.
Fig. 3 is a flowchart of a method for calculating a temperature near a discharge gap of an oil tank electrode, and as shown in fig. 3, a discharge gap temperature prediction simulation model of an oil tank electrode of a transformer is first built, positions of an electrode and a heating pipe in the oil tank are set, further, a power flow rate array is loaded, the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank under different power flow rate arrays are measured, and a regression equation for transformer fault detection is obtained according to a mapping relationship among the power flow rate array, the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank. And finally, calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and the transformer fault detection regression equation so as to realize fault type analysis of the transformer to be detected by utilizing the temperature near the discharge gap of the electrode of the current oil tank.
And S260, determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode.
In an alternative embodiment of the present invention, determining the current reference temperature parameter according to the current temperature near the discharge gap of the fuel tank electrode may include: acquiring a gap temperature parameter mapping relation table; under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with the first gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a first reference temperature parameter; under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a second gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a second reference temperature parameter; under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a third gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a third reference temperature parameter; and under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with the fourth gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a fourth reference temperature parameter.
The gap temperature parameter mapping relation table may be used for representing a mapping relation between the gap temperature and the transformer fault type. The first gap temperature range may be a temperature range for indicating a first transformer fault type. The first reference temperature parameter may be a temperature parameter for representing a first gap temperature range. The second gap temperature range may be a temperature range for indicating a second transformer fault type. The second reference temperature parameter may be a temperature parameter for representing a second gap temperature range. The third gap temperature range may be a temperature range for indicating a third transformer fault type. The third reference temperature parameter may be a temperature parameter for representing a third gap temperature range. The fourth gap temperature range may be a temperature range for indicating a fourth transformer fault type. The fourth reference temperature parameter may be a temperature parameter for representing a fourth gap temperature range.
In the embodiment of the invention, a gap temperature parameter mapping relation table can be obtained, and if the temperature near the discharge gap of the current oil tank electrode is matched with the first gap temperature range of the gap temperature parameter mapping relation table, the current reference temperature parameter can be determined as a first reference temperature parameter; if the temperature near the discharge gap of the current oil tank electrode is matched with the second gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is a second reference temperature parameter; if the temperature near the discharge gap of the current oil tank electrode is matched with the third gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is a third reference temperature parameter; and if the temperature near the discharge gap of the current oil tank electrode is matched with the fourth gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a fourth reference temperature parameter.
Table 2 is a map table of gap temperature parameters according to the second embodiment of the present invention. In one specific example, as shown in table 2, the first gap temperature range may be 100 ℃ to 150 ℃; the second gap temperature range may be 150 ℃ to 300 ℃; the third gap temperature range may be 300 ℃ to 700 ℃; the fourth gap temperature range may be greater than 700 ℃. If the temperature near the discharge gap of the current oil tank electrode is matched with the first gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is a first reference temperature parameter 1; if the temperature near the discharge gap of the current oil tank electrode is matched with the second gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is a second reference temperature parameter 2; if the temperature near the discharge gap of the current oil tank electrode is matched with the third gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is a third reference temperature parameter 3; and if the temperature near the discharge gap of the current oil tank electrode is matched with the fourth gap temperature range of the gap temperature parameter mapping relation table, determining that the current reference temperature parameter is the fourth reference temperature parameter 4.
Table 2 temperature parameter correspondence table
And S270, performing fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
In an optional embodiment of the present invention, the fault detection of the transformer to be detected according to the current reference temperature parameter and the current tank gas data of the transformer to be detected may include: determining the current gas content of dissolved gas in target oil of the oil tank in the transformer to be detected according to the current oil tank gas data; matching the current gas content of the dissolved gas in the target oil with the code data of the ratio of the dissolved gas in the oil to obtain the current gas code data of the dissolved gas in the target oil of the oil tank in the transformer to be detected; and inquiring a fault type mapping table according to the current reference temperature parameter and the current gas coding data to obtain the current fault type of the transformer to be detected.
The current gas content may be a gas content value of dissolved gas in the target oil in the current state of the transformer to be detected. The current gas encoding data may be encoding data obtained by encoding the dissolved gas in the target oil from the current gas content. The fault type mapping table may be a table for representing the mapping between the current reference temperature parameter and the dissolved gas ratio coded data in oil and the transformer fault type. The current fault type may be the specific type of transformer fault.
Correspondingly, oil pumping treatment can be carried out on the transformer oil tank to be detected to obtain current oil tank gas data, the current gas content of the dissolved gas in the target oil is obtained according to the current oil tank gas data, and the current gas content of the dissolved gas in the target oil and the code data of the ratio of the dissolved gas in the oil are matched with each other to obtain the current gas code data of the dissolved gas in the target oil. Further, the fault type mapping table can be queried by using the current reference temperature parameter and the current gas coding data to obtain the current fault type of the transformer to be detected.
Table 3 is a fault type mapping table provided in the second embodiment of the present invention, in a specific example, as shown in table 3, oil pumping treatment may be performed on a transformer oil tank to be detected to obtain current oil tank gas data, the current gas content of the dissolved gas in the target oil is obtained according to the current oil tank gas data, and the current gas content of the dissolved gas in the target oil and the code data of the ratio of the dissolved gas in the oil are matched with each other to obtain the current gas code data of the dissolved gas in the target oil. Further, the fault type mapping table can be queried by using the current reference temperature parameter and the current gas coding data to obtain the current fault type of the transformer to be detected. If the current reference temperature parameter can be 1 and the current gas coding data can be 0,0 and 1 respectively, the current fault type of the transformer to be detected can be obtained as a slight overheat fault by inquiring the fault type mapping table; if the current reference temperature parameter can be 1/2 and the current gas coding data can be 2,2 and 0 respectively, the current fault type of the transformer to be detected can be obtained as a slight overheat fault by inquiring the fault type mapping table; if the current reference temperature parameter can be 1/2 and the current gas coding data can be 0,0/2 and 0/1 respectively, the current fault type of the transformer to be detected can be obtained as a low-temperature overheat fault by inquiring the fault type mapping table; if the current reference temperature parameter can be 1/2 and the current gas coding data can be 2,2 and 1/2 respectively, the current fault type of the transformer to be detected can be obtained as a low-temperature overheat fault by inquiring the fault type mapping table; if the current reference temperature parameter can be 2/3 and the current gas coding data can be 0,2,1 respectively, the current fault type of the transformer to be detected can be obtained as a medium-temperature overheat fault by inquiring the fault type mapping table; if the current reference temperature parameter can be 4 and the current gas coding data can be 0,0/1/2 and 2 respectively, the current fault type of the transformer to be detected can be obtained as a high-temperature overheat fault by inquiring the fault type mapping table.
TABLE 3 fault type mapping table
According to the technical scheme, a discharge gap temperature prediction simulation model of the transformer oil tank electrode is built in simulation software, the gas distribution range of dissolved gas in target oil of the transformer oil tank is determined, and the ratio of the dissolved gas in the target oil is encoded according to the gas distribution range of the dissolved gas in the target oil to obtain oil dissolved gas ratio encoded data. And calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and the transformer fault detection regression equation. The method comprises the steps of determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode, further carrying out fault detection on the transformer to be detected according to the current reference temperature parameter and current oil tank gas data of the transformer to be detected, solving the problem that the fault detection accuracy of the existing transformer is low, and improving the fault detection accuracy of the transformer.
Example III
Fig. 4 is a schematic diagram of a transformer fault detection device according to a third embodiment of the present invention, as shown in fig. 4, where the device includes: a fault detection variable data acquisition module 310, an electrode discharge gap vicinity temperature calculation module 320, a current reference temperature parameter determination module 330, and a transformer fault detection module 340, wherein:
A fault detection variable data obtaining module 310, configured to obtain fault detection variable data of a transformer to be detected;
the electrode discharge gap vicinity temperature calculation module 320 is configured to calculate a current oil tank electrode discharge gap vicinity temperature of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation;
a current reference temperature parameter determining module 330, configured to determine a current reference temperature parameter according to a temperature near the discharge gap of the current fuel tank electrode;
and the transformer fault detection module 340 is configured to perform fault detection on the transformer to be detected according to the current reference temperature parameter and current tank gas data of the transformer to be detected.
According to the technical scheme, the fault detection variable data of the transformer to be detected are obtained, so that the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected is calculated according to the fault detection variable data and the transformer fault detection regression equation, and then the current reference temperature parameter is determined according to the temperature near the discharge gap of the electrode of the current oil tank, so that the transformer to be detected is subjected to fault detection according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected, the problem that the fault detection accuracy of the existing transformer is low is solved, and the fault detection accuracy of the transformer is improved.
Optionally, the fault detection variable data obtaining module 310 is specifically configured to obtain power, circulation flow rate and upper oil temperature of the oil tank of the heating pipe of the transformer to be detected under the condition of stable working state; and taking the heating pipe power, the circulating flow rate and the upper oil temperature of the oil tank of the transformer to be detected under the condition of stable working state as the fault detection variable data.
Optionally, the transformer fault detection device further comprises a transformer fault detection regression equation determining module, which is specifically used for establishing a discharge gap temperature prediction simulation model of the transformer oil tank electrode; and determining a transformer fault detection regression equation through the discharge gap temperature prediction simulation model.
Optionally, the transformer fault detection regression equation determining module is specifically configured to: setting the electrode position of a transformer oil tank and the position of a heating pipe through preset modeling software, and taking the internal structure of the simulated transformer oil tank as the discharge gap temperature prediction simulation model; the transformer fault detection regression equation determining module is specifically configured to: loading a power flow rate array based on the discharge gap temperature prediction simulation model; measuring the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank under the arrays of different power flow rates; and generating the transformer fault detection regression equation according to the power flow rate array, the temperature near the electrode gap of the oil tank and the mapping relation between the oil temperature of the upper layer of the oil tank.
Optionally, the current reference temperature parameter determining module 330 is specifically configured to obtain a gap temperature parameter mapping relationship table; and matching the temperature near the discharge gap of the current oil tank electrode with the gap temperature parameter mapping relation table, and determining the current reference temperature parameter according to a matching result.
Optionally, the current reference temperature parameter determining module 330 is specifically configured to determine that the current reference temperature parameter is a first reference temperature parameter when it is determined that the temperature near the discharge gap of the current fuel tank electrode matches the first gap temperature range of the gap temperature parameter mapping relationship table; under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a second gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a second reference temperature parameter; under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a third gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a third reference temperature parameter; and under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with the fourth gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a fourth reference temperature parameter.
Optionally, the transformer fault detection device may further include an oil dissolved gas ratio code data acquisition module, specifically configured to determine a gas distribution range of dissolved gas in target oil of the transformer oil tank; and coding the ratio of the dissolved gas in the target oil according to the gas distribution range of the dissolved gas in the target oil to obtain the coded data of the ratio of the dissolved gas in the oil.
Optionally, the transformer fault detection module 340 is specifically configured to determine a current gas content of a dissolved gas in a target oil of the oil tank in the transformer to be detected according to the current oil tank gas data; matching the current gas content of the dissolved gas in the target oil with the code data of the ratio of the dissolved gas in the oil to obtain the current gas code data of the dissolved gas in the target oil of the oil tank in the transformer to be detected; and inquiring a fault type mapping table according to the current reference temperature parameter and the current gas coding data to obtain the current fault type of the transformer to be detected.
The transformer fault detection device can execute the transformer fault detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be referred to the transformer fault detection method provided in any embodiment of the present invention.
Example IV
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the transformer fault detection method.
In some embodiments, the transformer fault detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the transformer fault detection method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the transformer fault detection method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
Claims (11)
1. A method for detecting a transformer fault, comprising:
obtaining fault detection variable data of a transformer to be detected;
calculating the temperature near the discharge gap of the electrode of the current oil tank of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation;
determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode;
and performing fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
2. The method of claim 1, wherein the obtaining fault detection variable data of the transformer to be detected comprises:
acquiring heating pipe power, circulating flow rate and upper oil temperature of an oil tank of the transformer to be detected under the condition of stable working state;
and taking the heating pipe power, the circulating flow rate and the upper oil temperature of the oil tank of the transformer to be detected under the condition of stable working state as the fault detection variable data.
3. The method of claim 1, further comprising, prior to said obtaining fault detection variable data for the transformer to be detected:
Establishing a discharge gap temperature prediction simulation model of an electrode of a transformer oil tank;
and determining a transformer fault detection regression equation through the discharge gap temperature prediction simulation model.
4. A method according to claim 3, wherein said creating a discharge gap temperature predictive simulation model of a transformer tank electrode comprises:
setting the electrode position of a transformer oil tank and the position of a heating pipe through preset modeling software, and taking the internal structure of the simulated transformer oil tank as the discharge gap temperature prediction simulation model;
the determining the transformer fault detection regression equation through the discharge gap temperature prediction simulation model comprises the following steps:
loading a power flow rate array based on the discharge gap temperature prediction simulation model;
measuring the temperature near the electrode gap of the oil tank and the upper oil temperature of the oil tank under the arrays of different power flow rates;
and generating the transformer fault detection regression equation according to the power flow rate array, the temperature near the electrode gap of the oil tank and the mapping relation between the oil temperature of the upper layer of the oil tank.
5. The method of claim 1, wherein said determining a current reference temperature parameter from a temperature near the current tank electrode discharge gap comprises:
Acquiring a gap temperature parameter mapping relation table;
and matching the temperature near the discharge gap of the current oil tank electrode with the gap temperature parameter mapping relation table, and determining the current reference temperature parameter according to a matching result.
6. The method of claim 5, wherein said matching the current tank electrode discharge gap vicinity temperature with the gap temperature parameter map and determining the current reference temperature parameter based on the matching result comprises:
under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with the first gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a first reference temperature parameter;
under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a second gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a second reference temperature parameter;
under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with a third gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a third reference temperature parameter;
And under the condition that the temperature near the discharge gap of the current oil tank electrode is determined to be matched with the fourth gap temperature range of the gap temperature parameter mapping relation table, determining the current reference temperature parameter as a fourth reference temperature parameter.
7. The method of claim 1, further comprising, prior to said obtaining fault detection variable data for the transformer to be detected:
determining the gas distribution range of dissolved gas in target oil of a transformer oil tank;
and coding the ratio of the dissolved gas in the target oil according to the gas distribution range of the dissolved gas in the target oil to obtain the coded data of the ratio of the dissolved gas in the oil.
8. The method of claim 1, wherein said fault detecting the transformer to be detected based on the current reference temperature parameter and current tank gas data of the transformer to be detected, comprises:
determining the current gas content of dissolved gas in target oil of the oil tank in the transformer to be detected according to the current oil tank gas data;
matching the current gas content of the dissolved gas in the target oil with the code data of the ratio of the dissolved gas in the oil to obtain the current gas code data of the dissolved gas in the target oil of the oil tank in the transformer to be detected;
And inquiring a fault type mapping table according to the current reference temperature parameter and the current gas coding data to obtain the current fault type of the transformer to be detected.
9. A transformer fault detection device, comprising:
the fault detection variable data acquisition module is used for acquiring fault detection variable data of the transformer to be detected;
the electrode discharge gap nearby temperature calculation module is used for calculating the current oil tank electrode discharge gap nearby temperature of the transformer to be detected according to the fault detection variable data and a transformer fault detection regression equation;
the current reference temperature parameter determining module is used for determining a current reference temperature parameter according to the temperature near the discharge gap of the current oil tank electrode;
and the transformer fault detection module is used for carrying out fault detection on the transformer to be detected according to the current reference temperature parameter and the current oil tank gas data of the transformer to be detected.
10. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the transformer fault detection method of any one of claims 1-8.
11. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the transformer fault detection method of any one of claims 1-8 when executed.
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