CN118962363B - A method and related device for locating fault arc of oil-immersed transformer - Google Patents
A method and related device for locating fault arc of oil-immersed transformer Download PDFInfo
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Abstract
本发明提供了一种油浸式变压器故障电弧定位方法及相关装置，涉及油浸式变压器故障诊断技术领域。通过预设传感装置集合采集目标变压器的基础参数；根据预设阈值结合基础参数判断是否需要进行故障预警；若是，则获取当前基础参数并确定异常参数；获取异常参数对应的预设传感装置的硬件信息；通过时差法结合硬件信息中的坐标信息建立目标方程组；根据当前基础参数和目标方程组确定故障信息。通过实时油压数据变化开展油浸式变压器内部故障电弧定位，具备响应速度快、测量准确度高的优势。
The present invention provides a method for locating an oil-immersed transformer fault arc and a related device, and relates to the technical field of oil-immersed transformer fault diagnosis. The basic parameters of the target transformer are collected by a preset sensor device set; whether a fault warning is required is determined according to a preset threshold value combined with the basic parameters; if so, the current basic parameters are obtained and the abnormal parameters are determined; the hardware information of the preset sensor device corresponding to the abnormal parameters is obtained; the target equation group is established by combining the coordinate information in the hardware information with the time difference method; the fault information is determined according to the current basic parameters and the target equation group. The internal fault arc of the oil-immersed transformer is located by the real-time oil pressure data change, which has the advantages of fast response speed and high measurement accuracy.
Description
Technical Field
The application relates to the technical field of fault diagnosis of oil-immersed transformers, in particular to a fault arc positioning method and a related device of an oil-immersed transformer.
Background
The power transformer is an operation hub of the whole power system, and the normal operation of the power transformer plays a decisive role in reliable transportation, flexible distribution and safe use of electric energy. Once the transformer fails, the transformer can cause large-area power failure accidents to influence the reliable supply of power, and can cause serious accidents such as explosion and fire and the like to endanger the safety of personnel and equipment because of internal faults when the transformer is used as large-scale oil filling equipment. Therefore, the running state of the transformer is monitored in real time, the abnormal running state of the transformer is early-warned and diagnosed, faults are found in advance, and the faults are intervened to further deteriorate and develop, so that the method has important significance for guaranteeing personal safety and equipment safety.
When the transformer has internal faults, the phenomena of gas production, overheat, oil pressure change and the like are often accompanied, and the development of non-electric quantity characteristic monitoring is an effective means for realizing fault early warning. When the transformer is subjected to short-circuit impact or abnormal working conditions, a fault arc is generated inside the transformer. The arc energy rapidly converts to heat and causes the insulating oil to change phase from a liquid state to superheated steam. This physical process will cause the internal oil pressure to change dramatically and propagate out in the form of pressure waves. This process is accompanied by changes in oil pressure, oil temperature, and oil flow velocity. In contrast, the oil pressure monitoring has the advantages of high response speed and high measurement accuracy, and can reflect the internal fault arc characteristics more sensitively and accurately.
Due to the fact that the internal structure of the oil-immersed transformer is complex, the physical process is deeply coupled, monitoring means are deficient, and the like, an effective method for positioning an internal fault arc of the oil-immersed transformer is lacking at present.
Therefore, how to realize fault arc positioning in an oil immersed transformer is a technical problem to be solved.
Disclosure of Invention
In order to realize the positioning of the fault arc in the oil-immersed transformer, the application provides a fault arc positioning method and a related device for the oil-immersed transformer.
In a first aspect, the fault arc positioning method for the oil immersed transformer provided by the application adopts the following technical scheme:
a fault arc positioning method of an oil immersed transformer comprises the following steps:
collecting basic parameters of a target transformer through a preset sensing device set;
Judging whether fault early warning is needed according to a preset threshold and the basic parameters;
if yes, acquiring current basic parameters and determining abnormal parameters;
acquiring hardware information of a preset sensing device corresponding to the abnormal parameters;
establishing a target equation set by combining the coordinate information in the hardware information through a time difference method;
and determining fault information according to the current basic parameters and the target equation set.
Optionally, the preset sensing device is an oil pressure sensor, and the basic parameter is the time sequence and the amplitude of the pressure wave.
Optionally, before the step of determining whether fault early warning is needed according to the preset threshold and the basic parameter, the method further includes:
Acquiring a preset threshold value and current use scene information;
judging whether the scene is a common scene or not according to the scene information;
if not, matching corresponding correction strategies in a preset database according to the scene information;
And correcting the preset threshold according to the correction strategy.
Optionally, the step of obtaining hardware information of the preset sensing device corresponding to the abnormal parameter includes:
acquiring detection identification information corresponding to the abnormal parameters;
traversing in an abnormal equipment table according to the detection identification information to determine target abnormal hardware information;
and determining abnormal coordinate information according to the target hardware information.
Optionally, the step of establishing the objective equation set by combining the coordinate information in the hardware information through the time difference method includes:
setting a coordinate origin to establish a three-dimensional rectangular coordinate system;
Determining coordinate parameters corresponding to each sensing device according to the three-dimensional rectangular coordinate system and the preset sensing devices;
establishing a displacement equation ;
The time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i, wherein i is the sensor number, and the fault arc coordinate N (x, y, z).
Optionally, the step of determining fault information according to the current basic parameters and the target equation set includes:
Acquiring current hardware information, and generating early warning environment information according to structural size information and internal winding layout information in the current hardware information;
determining a corresponding abnormal sensor identifier according to the current basic parameters;
inputting the anomaly sensor identification into the set of target equations to determine fault coordinate information;
And generating an abnormal point position report according to the fault coordinate information and the early warning environment information.
Optionally, the step of determining fault information according to the current basic parameters and the target equation set includes:
determining a fault grade according to the fault information, wherein the fault grade comprises an automatic correction grade and a human intervention grade;
When the fault grade is judged to be the automatic correction grade, matching and identifying an emergency strategy containing a first grade from a preset emergency strategy library;
and when the fault level is determined to be the human intervention level, matching and identifying the emergency strategy containing the second level from the preset emergency strategy library.
In a second aspect, the present application provides an oil immersed transformer fault arc positioning device, where the oil immersed transformer fault arc positioning device includes:
the basic parameter module is used for collecting basic parameters of the target transformer through a preset sensing device set;
the fault early warning module is used for judging whether fault early warning is needed or not according to the preset threshold value and the basic parameters;
The abnormal parameter module is used for acquiring the current basic parameters and determining abnormal parameters if yes;
the hardware information module is used for acquiring the hardware information of the preset sensing device corresponding to the abnormal parameter;
the equation set module is used for establishing a target equation set by combining the coordinate information in the hardware information through a time difference method;
and the fault information module is used for determining fault information according to the current basic parameters and the target equation set.
In a third aspect, the application provides an oil immersed transformer fault arc positioning device, which comprises a memory and a processor, wherein the processor executes the method when running an oil immersed transformer fault arc positioning program stored in the memory.
In a fourth aspect, the application provides a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform a method as described above.
In summary, the application comprises the following beneficial technical effects:
The method comprises the steps of collecting basic parameters of a target transformer through a preset sensing device set, judging whether fault early warning is needed according to a preset threshold value and the basic parameters, if yes, obtaining current basic parameters and determining abnormal parameters, obtaining hardware information of the preset sensing device corresponding to the abnormal parameters, building a target equation set through a time difference method and combining coordinate information in the hardware information, and determining fault information according to the current basic parameters and the target equation set. The fault arc positioning in the oil immersed transformer is carried out through real-time oil pressure data change, and the oil immersed transformer has the advantages of high response speed and high measurement accuracy.
Drawings
Fig. 1 is a schematic structural diagram of an oil immersed transformer fault arc positioning device in a hardware operation environment according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a first embodiment of a fault arc positioning method of an oil immersed transformer according to the present application;
FIG. 3 is a schematic diagram of the arrangement of oil pressure sensors in a first embodiment of the fault arc location method of an oil immersed transformer according to the present application;
Fig. 4 is a block diagram of a first embodiment of the fault arc positioning device for an oil immersed transformer according to the present application.
Detailed Description
The present application will be described in further detail below with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an oil immersed transformer fault arc positioning device in a hardware operation environment according to an embodiment of the present application.
As shown in fig. 1, the oil-immersed transformer fault arc locating device may include a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the oil immersed transformer fault arc locating device, and may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and an oil immersed transformer fault arc location program may be included in a memory 1005 as one type of storage medium.
In the fault arc positioning device for the oil-immersed transformer shown in fig. 1, the network interface 1004 is mainly used for carrying out data communication with the network server, the user interface 1003 is mainly used for carrying out data interaction with a user, the processor 1001 and the memory 1005 in the application can be arranged in the fault arc positioning device for the oil-immersed transformer, the fault arc positioning device for the oil-immersed transformer calls the fault arc positioning program for the oil-immersed transformer stored in the memory 1005 through the processor 1001, and the fault arc positioning method for the oil-immersed transformer provided by the embodiment of the application is executed.
The embodiment of the application provides a fault arc positioning method for an oil-immersed transformer, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the fault arc positioning method for the oil-immersed transformer.
In this embodiment, the fault arc positioning method for the oil immersed transformer includes the following steps:
and S10, collecting basic parameters of the target transformer through a preset sensing device set.
It should be noted that the preset sensing device is an oil pressure sensor, and the basic parameter is the time sequence and the amplitude of the pressure wave.
It can be understood that due to the complicated internal structure of the oil-immersed transformer, deep coupling of physical processes, lack of monitoring means and the like, an effective method for positioning the fault arc in the oil-immersed transformer is lacking at present. The invention provides an oil-immersed transformer fault arc positioning method based on oil pressure on-line monitoring by combining a fault arc propagation mechanism in consideration of the advantages of high response speed and high measurement accuracy of oil pressure monitoring. And (3) at the occurrence time of the fault arc, positioning the winding part where the fault arc is positioned according to the oil pressure change characteristics of each monitoring point. The method can realize real-time early warning of the fault arc in the transformer, can also provide fault arc positioning reference for subsequent fault diagnosis or hanging cover overhaul, can obviously improve the fault arc diagnosis technical level of the oil immersed transformer, and effectively improves the operation, maintenance and overhaul effects of the transformer.
In a specific implementation, the implementation main body of the embodiment is an oil pressure online detection system of oil immersed transformer, and the implementation main body comprises an oil pressure sensing matrix, a communication acquisition module, a 24V direct current power supply and an industrial control integrated machine. The oil pressure on-line monitoring matrix is formed by arranging oil pressure sensors at four sides, the bottom, the upper part, the pressure release valve and the conservator pipeline of the transformer shell. When an arc fault occurs in the transformer, the coordinates of the fault arc can be calculated according to a time difference method under the condition that the coordinates of all monitoring points are known according to the time sequence and the amplitude of pressure waves received by different monitoring points, and accordingly the winding and the specific part where the fault arc is located are judged.
As shown in fig. 3, the oil pressure sensor matrix is eight oil pressure monitoring sensors. The installation parts of the sensors are as follows:
sensor I, the front outer wall of the transformer shell
Second sensor, outer wall of back of transformer shell
Sensor III, outer wall of left side surface of transformer shell
Sensor IV, right side outer wall of transformer shell
Sensor five, outer wall of bottom of transformer shell
Sensor six, the outer wall of the upper part of the transformer shell
Sensor seven, pressure relief valve part of transformer (generally located at the upper part of the shell)
No. eight sensor transformer oil pillow oil pipe
Wherein, P1 is the casing front, P2 is the casing back, P3 is the casing left surface, P4 is the casing right surface, P5 is the casing bottom surface, P6 is the casing upper portion, P7 is the conservator oil pipe department, P8 is pressure relief valve department.
The communication acquisition module uniformly collects oil pressure on-line monitoring data of eight sensors and is used as an interface for data collection. The 24V direct current power supply provides power supply for the communication acquisition module. The industrial control integrated machine can receive the data transmitted by the communication acquisition module, perform data analysis according to the fault arc diagnosis algorithm of the oil immersed transformer, obtain the winding and specific parts where the fault arc is located, and display the diagnosis result through the display page. The industrial control integrated machine can be independently powered by an external power supply, and can be accessed into a substation monitoring background for unified management.
And step 20, judging whether fault early warning is needed according to the preset threshold value and the basic parameters.
The method comprises the steps of judging whether fault early warning is needed according to a preset threshold value and basic parameters, acquiring the preset threshold value and current use scene information, judging whether the fault early warning is a common scene according to the scene information, if not, matching corresponding correction strategies in a preset database according to the scene information, and correcting the preset threshold value according to the correction strategies.
Note that, the preset threshold in this embodiment is a determination threshold for determining whether the corresponding oil pressure sensor device detects data. In a common use process, different preset thresholds are determined according to different use scenes, so that when judging whether fault early warning is needed, current use scene information is acquired, and the use scene information is combined to judge whether correction of the preset thresholds is needed.
In a specific implementation, if it is determined that the fault early warning is not needed, the execution body of the embodiment continuously collects the basic parameters of the target position through the preset sensing device set.
And step S30, if yes, acquiring the current basic parameters and determining the abnormal parameters.
When it is determined that the fault early warning is required, at least one sensing device receives the abnormal data and acquires the abnormal data and the device information of the sensing device corresponding to the abnormal data.
Step S40, obtaining hardware information of a preset sensing device corresponding to the abnormal parameters.
The method comprises the steps of obtaining detection identification information corresponding to the abnormal parameters, traversing in an abnormal equipment table according to the detection identification information to determine target abnormal hardware information, and determining abnormal coordinate information according to the target hardware information.
And S50, establishing a target equation set by combining the coordinate information in the hardware information through a time difference method.
It should be noted that the step of establishing the target equation set by combining the coordinate information in the hardware information through the time difference method comprises the steps of setting the origin of coordinates to establish a three-dimensional rectangular coordinate system, determining the coordinate parameters corresponding to each sensing device according to the three-dimensional rectangular coordinate system and combining with a preset sensing device, and establishing a displacement equation
;
The time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i, wherein i is the sensor number, and the fault arc coordinate N (x, y, z).
In the specific implementation, the positioning principle is that a plurality of equation sets are established by a time difference method according to the time sequence and the amplitude of pressure waves received by different monitoring points, and the coordinates of the fault arc are obtained by calculation based on the equation sets, so that the winding and the specific part where the fault arc is located can be judged. The three-dimensional rectangular coordinate system is established by taking the left lower corner tip of the transformer shell as the origin (0, 0), and then the specific coordinates of eight oil pressure sensors arranged on the transformer shell are known, and can be described as Pi (x i,yi,zi), wherein i is the number of the sensor, and the value is 1 to 8. Assume that the time required for a pressure wave caused by a fault arc to propagate from a starting location to a sensor location is t i, where i is the sensor number. The propagation processes such as refraction and reflection of the pressure wave in the transformer body caused by the fault arc are not considered, and only the primary propagation path is considered. Assume that the linear distance from the starting position of the fault arc to the sensor is l i. It is assumed that the propagation velocity of the pressure wave generated by the fault arc inside the transformer body is v. The coordinates of the specific location where the fault arc is located are assumed to be unknowns, i.e., N (x, y, z). The displacement equation for the fault arc generating pressure wave propagation process can be obtained:
;
According to the time sequence of the pressure wave received by different monitoring points, the specific time t i when the pressure wave propagates to eight sensors can be obtained on the premise of uniformly scaling the zero time. According to the time difference method, a ternary equation set about the fault arc coordinate can be obtained, and then the specific coordinate of the fault arc under the three-dimensional rectangular coordinate system can be calculated, namely, the fault positioning is completed. Wherein the time difference is the time difference between the receipt of the pressure wave signal by the two sensors.
After the fault arc coordinates N (x, y, z) are obtained, the winding and the specific part where the fault arc is located can be clearly obtained according to the interval where the coordinates are located. After the structural size and the internal winding layout of the transformer are known, the three-dimensional coordinate interval of the three-phase winding can be obtained. Namely, the a-phase winding is located in a coordinate range between XA1 and XA2 in the X-axis direction. In the Y-axis direction, between YA1 and YA 2. In the Z-axis direction, between ZA1 and ZA 2. B. The C-phase winding is pushed in this way. Therefore, a method for judging the winding and the specific part of the fault arc based on the fault arc coordinates can be obtained.
Firstly, the winding is judged. If the abscissa of the fault arc satisfies XA1< x < XA2, then the phase a winding can be determined. If XB1< x < XB2, then the winding in phase B can be determined. If XC1< x < XC2, then the winding in the C phase can be determined.
And after judging the phase of the winding where the fault arc is located, setting the phase as O, and judging that the fault arc is close to the lower end part of the winding if the ordinate of the fault arc meets YO1< y < (YO1+YO2)/2. If the ordinate of the fault arc satisfies (YO1+YO2)/2 < y < YO2, judging that the fault arc is close to the upper end of the winding.
After judging the specific part of the winding where the fault arc is located, the specific position of the fault arc can be further judged according to the vertical coordinate of the fault arc. If the vertical coordinate of the fault arc meets ZO1< z < (ZO1+ZO2)/2, judging that the fault arc is positioned on one side of the winding close to the front side of the shell. If the ordinate of the fault arc satisfies (ZO1+ZO2)/2 < z < ZO2, judging that the fault arc is close to one side of the back surface of the shell.
Based on the judgment, the winding and specific parts of the fault arc can be accurately positioned.
And step S60, determining fault information according to the current basic parameters and the target equation set.
In specific implementation, the step of determining fault information according to the current basic parameters and the target equation set comprises the steps of obtaining current hardware information, generating early warning environment information according to structural size information and internal winding layout information in the current hardware information, determining corresponding abnormal sensor identifications according to the current basic parameters, inputting the abnormal sensor identifications into the target equation set to determine fault coordinate information, and generating an abnormal point position report according to the fault coordinate information and the early warning environment information.
The method comprises the steps of determining fault levels according to current basic parameters and a target equation set, wherein the fault levels comprise automatic correction levels and human intervention levels, matching and identifying emergency strategies containing a first level from a preset emergency strategy library when the fault levels are determined to be the automatic correction levels, and matching and identifying emergency strategies containing a second level from the preset emergency strategy library when the fault levels are determined to be the human intervention levels.
It can be understood that the preset emergency policy library in this embodiment is an emergency countermeasure for the failure cause in different situations. Including both forms of automatic corrective intervention and human intervention.
The method comprises the steps of collecting basic parameters of a target transformer through a preset sensing device set, judging whether fault early warning is needed according to a preset threshold value and the basic parameters, if yes, obtaining current basic parameters and determining abnormal parameters, obtaining hardware information of the preset sensing device corresponding to the abnormal parameters, building a target equation set through a time difference method and combining coordinate information in the hardware information, and determining fault information according to the current basic parameters and the target equation set. The fault arc positioning in the oil immersed transformer is carried out through real-time oil pressure data change, and the oil immersed transformer has the advantages of high response speed and high measurement accuracy.
In addition, the embodiment of the application also provides a computer readable storage medium, and the storage medium stores a program for positioning the fault arc of the oil immersed transformer, and the program for positioning the fault arc of the oil immersed transformer realizes the steps of the method for positioning the fault arc of the oil immersed transformer when being executed by a processor.
Referring to fig. 4, fig. 4 is a block diagram of a fault arc positioning apparatus for an oil immersed transformer according to a first embodiment of the present application.
As shown in fig. 4, the fault arc positioning device for an oil immersed transformer provided by the embodiment of the application includes:
A basic parameter module 10, configured to collect basic parameters of the target transformer through a preset sensing device set;
the fault early warning module 20 is used for judging whether fault early warning is needed according to a preset threshold value and basic parameters;
The abnormal parameter module 30 is configured to obtain a current basic parameter and determine an abnormal parameter if the current basic parameter is positive;
A hardware information module 40, configured to obtain hardware information of a preset sensing device corresponding to the abnormal parameter;
the equation set module 50 is configured to establish a target equation set by combining coordinate information in the hardware information through a time difference method;
the fault information module 60 is configured to determine fault information according to the current basic parameters and the target equation set.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the application as desired, and the application is not limited thereto.
The method comprises the steps of collecting basic parameters of a target transformer through a preset sensing device set, judging whether fault early warning is needed according to a preset threshold value and the basic parameters, if yes, obtaining current basic parameters and determining abnormal parameters, obtaining hardware information of the preset sensing device corresponding to the abnormal parameters, building a target equation set through a time difference method and combining coordinate information in the hardware information, and determining fault information according to the current basic parameters and the target equation set. The fault arc positioning in the oil immersed transformer is carried out through real-time oil pressure data change, and the oil immersed transformer has the advantages of high response speed and high measurement accuracy.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present application, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the method for positioning fault arc of the oil immersed transformer provided in any embodiment of the present application, which is not described herein again.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (6)
1. The fault arc positioning method for the oil immersed transformer is characterized by comprising the following steps of:
collecting basic parameters of a target transformer through a preset sensing device set;
Judging whether fault early warning is needed according to a preset threshold and the basic parameters;
if yes, acquiring current basic parameters and determining abnormal parameters;
acquiring hardware information of a preset sensing device corresponding to the abnormal parameters;
establishing a target equation set by combining the coordinate information in the hardware information through a time difference method;
determining fault information according to the current basic parameters and the target equation set;
Before the step of judging whether the fault early warning is needed or not according to the preset threshold value and the basic parameter, the method further comprises the following steps:
Acquiring a preset threshold value and current use scene information;
judging whether the scene is a common scene or not according to the scene information;
if not, matching corresponding correction strategies in a preset database according to the scene information;
Correcting the preset threshold according to the correction strategy;
The step of obtaining the hardware information of the preset sensing device corresponding to the abnormal parameter comprises the following steps:
acquiring detection identification information corresponding to the abnormal parameters;
traversing in an abnormal equipment table according to the detection identification information to determine target abnormal hardware information;
Determining abnormal coordinate information according to the target abnormal hardware information;
the step of establishing a target equation set by combining the coordinate information in the hardware information through a time difference method comprises the following steps:
setting a coordinate origin to establish a three-dimensional rectangular coordinate system;
Determining coordinate parameters corresponding to each sensing device according to the three-dimensional rectangular coordinate system and the preset sensing devices;
and (3) establishing a displacement equation:
;
The time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i, wherein i is the number of the sensor, and the coordinate N (x, y, z) of the fault arc;
After obtaining the fault arc coordinates N (X, Y, Z), the winding and the specific part where the fault arc is located can be clearly obtained according to the interval where the coordinates are located, after knowing the structural size and the internal winding layout of the transformer, the three-dimensional coordinate interval of the three-phase winding can be obtained, namely, the coordinate range where the A-phase winding is located is in the X-axis direction, is located between XA1 and XA2, is located between YA1 and YA2, is located between ZA1 and ZA2, and is pushed by B, C phase windings in the same way;
Firstly judging the winding, if the abscissa of the fault arc meets XA1< x < XA2, judging the winding in the A phase, if XB1< x < XB2, judging the winding in the B phase, and if XC1< x < XC2, judging the winding in the C phase;
After judging that the winding where the fault arc is located is the same, setting the phase as O, if the ordinate of the fault arc satisfies YO1< y < (YO1+YO2)/2, judging that the fault arc is close to the lower end of the winding, and if the ordinate of the fault arc satisfies (YO1+YO2)/2 < y < YO2, judging that the fault arc is close to the upper end of the winding;
After judging the specific part of the winding where the fault arc is located, judging the specific position according to the vertical coordinate of the winding, if the vertical coordinate of the fault arc meets ZO1< z < (ZO1+ZO2)/2, judging that the fault arc is positioned on the side of the winding close to the front side of the shell, and if the vertical coordinate of the fault arc meets (ZO1+ZO2)/2 < z < ZO2, judging that the fault arc is positioned on the side close to the back side of the shell;
the step of determining fault information according to the current basic parameters and the target equation set includes:
Acquiring current hardware information, and generating early warning environment information according to structural size information and internal winding layout information in the current hardware information;
determining a corresponding abnormal sensor identifier according to the current basic parameters;
inputting the anomaly sensor identification into the set of target equations to determine fault coordinate information;
And generating an abnormal point position report according to the fault coordinate information and the early warning environment information.
2. The fault arc positioning method of an oil immersed transformer according to claim 1, wherein the preset sensing device is an oil pressure sensor, and the basic parameters are the time sequence and the amplitude of a pressure wave.
3. The fault arc localization method of an oil immersed transformer according to any one of claims 1 to 2, wherein the step of determining fault information from the current base parameters and the set of objective equations comprises:
determining a fault grade according to the fault information, wherein the fault grade comprises an automatic correction grade and a human intervention grade;
When the fault grade is judged to be the automatic correction grade, matching and identifying an emergency strategy containing a first grade from a preset emergency strategy library;
and when the fault level is determined to be the human intervention level, matching and identifying the emergency strategy containing the second level from the preset emergency strategy library.
4. An oil immersed transformer fault arc locating device, wherein the method of claim 1 is performed, the oil immersed transformer fault arc locating comprising:
the basic parameter module is used for collecting basic parameters of the target transformer through a preset sensing device set;
the fault early warning module is used for judging whether fault early warning is needed or not according to the preset threshold value and the basic parameters;
The abnormal parameter module is used for acquiring the current basic parameters and determining abnormal parameters if yes;
the hardware information module is used for acquiring the hardware information of the preset sensing device corresponding to the abnormal parameter;
the equation set module is used for establishing a target equation set by combining the coordinate information in the hardware information through a time difference method;
The fault information module is used for determining fault information according to the current basic parameters and the target equation set;
The fault early warning module is also used for acquiring a preset threshold value and current use scene information;
judging whether the scene is a common scene or not according to the scene information;
if not, matching corresponding correction strategies in a preset database according to the scene information;
Correcting the preset threshold according to the correction strategy;
The hardware information module is also used for acquiring detection identification information corresponding to the abnormal parameters;
traversing in an abnormal equipment table according to the detection identification information to determine target abnormal hardware information;
Determining abnormal coordinate information according to the target abnormal hardware information;
The equation set module is further used for setting a coordinate origin to establish a three-dimensional rectangular coordinate system;
Determining coordinate parameters corresponding to each sensing device according to the three-dimensional rectangular coordinate system and the preset sensing devices;
and (3) establishing a displacement equation:
;
The time required for the pressure wave caused by the fault arc to propagate from the starting position to the sensor position is t i, wherein i is the number of the sensor, and the coordinate N (x, y, z) of the fault arc;
the fault information module is further used for acquiring current hardware information and generating early warning environment information according to the structural size information and the internal winding layout information in the current hardware information;
determining a corresponding abnormal sensor identifier according to the current basic parameters;
inputting the anomaly sensor identification into the set of target equations to determine fault coordinate information;
And generating an abnormal point position report according to the fault coordinate information and the early warning environment information.
5. An oil immersed transformer fault arc locating device, comprising a memory, a processor, wherein the processor performs the method of any one of claims 1 to 3 when running an oil immersed transformer fault arc locating program stored in the memory.
6. A computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 3.
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| CN106154126A (en) * | 2016-06-21 | 2016-11-23 | 国家电网公司 | A kind of transformer discharge detection method based on ultrasound wave |
| CN110112706A (en) * | 2019-05-07 | 2019-08-09 | 北京中瑞和电气有限公司 | A kind of transformer digital protection equipment and method based on pressure full dose information |
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| CN105403814A (en) * | 2014-08-11 | 2016-03-16 | 国家电网公司 | Positioning method and device for partial discharge source of transformer |
| CN110174137B (en) * | 2019-05-07 | 2020-06-19 | 西安交通大学 | Monitoring method of transformer monitoring device based on non-electric quantity comprehensive characteristic information |
| CN115479714A (en) * | 2022-10-11 | 2022-12-16 | 云南电网有限责任公司电力科学研究院 | An oil-immersed power transformer pressure wave monitoring method and related equipment |
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| CN106154126A (en) * | 2016-06-21 | 2016-11-23 | 国家电网公司 | A kind of transformer discharge detection method based on ultrasound wave |
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