Method, device, storage medium, processor and program product for determining a fault location in a transformer

Abstract

The application discloses a method and device for determining the fault position in a transformer, a storage medium, a processor and a program product. The method comprises the following steps: obtaining electrical signals of multiple windings in the transformer in a running state respectively to obtain multiple electrical signals; determining the working states of the multiple windings based on the multiple electrical signals; determining multiple monitoring positions of the multiple windings in response to the working state being a fault state; obtaining vibration signals at the monitoring positions, wherein the vibration signals are used to represent the vibration conditions of the windings, and the number of the vibration signals is the same as the number of the monitoring positions; and determining a target monitoring position in the multiple monitoring positions in which a fault occurs based on multiple vibration signals corresponding to the multiple monitoring positions. The application solves the technical problem that the fault position in the transformer cannot be accurately determined.

Description

Technical Field

[0001] This invention relates to the field of power systems, and more specifically, to a method, apparatus, storage medium, processor, and program product for determining the location of a fault in a transformer. Background Technology

[0002] Transformers are critical equipment in the entire power transmission process, responsible for raising or lowering voltage levels. Due to their high manufacturing costs and complex processes, transformers are almost impossible to repair once a fault occurs, leading to huge economic losses, power outages, and even casualties. Therefore, early detection of transformer faults and prevention of further deterioration are of paramount importance.

[0003] In related technologies, the fault location of a transformer is usually determined by periodically using equipment and instruments after a power outage. However, this method is not only time-consuming and labor-intensive, but also causes many unnecessary downtimes, which endangers the reliability of transformer operation and may even introduce some new faults during maintenance. Therefore, there is a technical problem that the fault location in a transformer cannot be accurately determined.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method, apparatus, storage medium, processor, and program product for determining the location of a fault in a transformer, to at least solve the technical problem of being unable to accurately determine the location of a fault in a transformer.

[0006] According to one aspect of the present invention, a method for determining the location of a fault in a transformer is provided. The method may include: acquiring electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determining the operating state of the multiple windings based on the multiple electrical signals; determining multiple monitoring positions of the multiple windings in response to the operating state being a fault state; acquiring vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determining the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0007] Optionally, the operating state of multiple windings is determined based on multiple electrical signals, including: determining the maximum current signal and minimum current signal corresponding to the multiple windings among the multiple electrical signals; determining the transformer imbalance based on the maximum current signal and minimum current signal; and determining the operating state based on the imbalance.

[0008] Optionally, the operating state is determined based on the imbalance degree, including: determining the operating state as a fault state in response to the imbalance degree not meeting the imbalance degree threshold; and determining the operating state as a normal operating state in response to the imbalance degree meeting the imbalance degree threshold.

[0009] Optionally, determining the target monitoring location where the fault occurs among the multiple monitoring locations based on multiple vibration signals corresponding to multiple monitoring locations includes: determining the faulty winding among multiple windings based on multiple vibration signals corresponding to multiple monitoring locations, wherein the faulty winding contains multiple monitoring locations; and determining the target monitoring location among the multiple monitoring locations based on multiple vibration signals corresponding to the multiple monitoring locations of the faulty winding.

[0010] Optionally, based on multiple vibration signals corresponding to multiple monitoring locations, determining the faulty winding among multiple windings includes: determining a first monitoring location and a second monitoring location among the multiple monitoring locations, wherein the first monitoring location is located in the first winding among the multiple windings, the second monitoring location is located in the second winding among the multiple windings, and the phases of the first winding and the second winding are different; determining a first ratio between the vibration signal at the first monitoring location and the vibration signal at the second monitoring location; and, in response to the first ratio satisfying a first threshold range, determining a third winding among the multiple windings as the faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding.

[0011] Optionally, the method may further include: in response to a first ratio not meeting a first threshold range, determining a second ratio between a vibration signal at a first monitoring location and a vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in a third winding; in response to a second ratio meeting a second threshold range, determining a second winding among a plurality of windings as a faulty winding; and in response to a second ratio not meeting a second threshold range, determining a first winding among a plurality of windings as a faulty winding.

[0012] Optionally, based on multiple vibration signals corresponding to multiple monitoring locations of the faulty winding, a target monitoring location is determined among the multiple monitoring locations, including: determining a third ratio among the multiple vibration signals; and determining the target monitoring location based on the third ratio.

[0013] Optionally, multiple electrical signals are obtained from multiple windings in the transformer under operating conditions, including: obtaining current signals from the electrical signals in the data acquisition and monitoring control system SCADA to obtain multiple current signals.

[0014] According to another aspect of the present invention, a device for determining the location of a fault in a transformer is also provided. The device may include: a first acquisition unit, configured to acquire electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; a first determination unit, configured to determine the operating state of the multiple windings based on the multiple electrical signals; a second determination unit, configured to determine multiple monitoring positions of the multiple windings in response to the operating state being a fault state; a second acquisition unit, configured to acquire vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and a third determination unit, configured to determine the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0015] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to execute the method for determining the fault location in a transformer according to the present invention.

[0016] According to another aspect of the present invention, a processor is also provided for running a program, wherein the program is executed by the processor to perform the method for determining the fault location in a transformer according to the present invention.

[0017] According to another aspect of the present invention, a program product is also provided, the program product including computer instructions, wherein when the computer instructions are executed by a processor, they implement the method for determining the fault location in a transformer according to the present invention.

[0018] In this embodiment of the invention, electrical signals of multiple windings in a transformer under operating conditions are acquired to obtain multiple electrical signals. Based on these multiple electrical signals, the operating state of the multiple windings is determined. In response to a fault state, multiple monitoring positions of the multiple windings are determined. Vibration signals at the monitoring positions are acquired, wherein the vibration signals characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions. Based on the multiple vibration signals corresponding to the multiple monitoring positions, the target monitoring position where the fault occurs among the multiple monitoring positions is determined. In other words, in this embodiment of the invention, by acquiring electrical signals of multiple windings in a transformer under operating conditions, it is possible to determine whether a fault exists in the multiple windings. If a fault exists in the multiple windings, vibration signal data from multiple monitoring positions in the multiple windings can be acquired respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurs among the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0020] Figure 1 This is a flowchart of a method for determining the location of a fault in a transformer according to an embodiment of the present invention;

[0021] Figure 2 This is a flowchart of a transformer winding phase-specific fault diagnosis method according to an embodiment of the present invention;

[0022] Figure 3 This is a schematic diagram of a transformer winding vibration monitoring location according to an embodiment of the present invention;

[0023] Figure 4 This is a schematic diagram illustrating the determination of a target fault point according to an embodiment of the present invention;

[0024] Figure 5 This is a schematic diagram of a device for determining the location of a fault in a transformer according to an embodiment of the present invention;

[0025] Figure 6 This is a structural block diagram of a computer terminal according to an embodiment of the present invention;

[0026] Figure 7 This is a block diagram of an electronic device for a method of determining the location of a fault in a transformer according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] According to an embodiment of the present invention, an embodiment of a method for determining the location of a fault in a transformer is provided. The steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases the steps shown or described may be performed in a different order than that shown here.

[0030] This embodiment proposes a method for determining the location of a fault in a transformer. This method can acquire electrical signals of multiple windings in the transformer under operating conditions. Based on the electrical signals, it can determine whether there is a fault in the multiple windings. If there is a fault in the multiple windings, vibration signal data of multiple monitoring positions in the multiple windings can be acquired respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurred in the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the location of the fault in the transformer and solving the technical problem of not being able to accurately determine the location of the fault in the transformer.

[0031] Figure 1 This is a flowchart of a method for determining the location of a fault in a transformer according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0032] Step S102: Obtain the electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals.

[0033] In the technical solution provided by step S102 of the present invention, the electrical signal may include a voltage signal and / or a current signal, and the voltage signal may be converted into a current signal. The transformer may be the main transformer in a power system, a key device in the entire power transmission process, and may be used to raise or lower the voltage level; for example, it may be a three-phase transformer.

[0034] Optionally, voltage signals of multiple windings in the transformer under operating conditions can be acquired, and these voltage signals can be converted to obtain the current signal corresponding to each winding. Alternatively, the three-phase current signals of the transformer can be acquired to obtain the voltage signals of multiple windings in the transformer under operating conditions. The three-phase current data corresponding to the transformer may include current signals corresponding to multiple phases, and this three-phase current data can also be referred to as the three-phase current signal.

[0035] It should be noted that the above does not impose specific restrictions on the method of acquiring electrical signals or the type of electrical signals.

[0036] Step S104: Determine the operating status of multiple windings based on multiple electrical signals.

[0037] In the technical solution provided in step S104 of the present invention, the operating states of multiple windings can be determined based on multiple electrical signals. These operating states may include normal operating states and fault states.

[0038] Optionally, the operating state of multiple windings can be determined based on multiple current signals from multiple electrical signals. For example, the current signal of the winding under normal operating conditions can be predetermined. When multiple electrical signals are acquired, the multiple current signals from the multiple electrical signals can be compared with the current signal under normal operating conditions to determine the operating state of each winding. Alternatively, the voltage signal from the multiple electrical signals can be acquired, converted, and multiple current signals corresponding to the multiple windings can be obtained. Based on the current signals, the operating state of the multiple windings can be determined. It should be noted that this is only an example and no specific limitation is made on the method of determining the operating state based on multiple electrical signals.

[0039] Step S106: In response to the operating state being a fault state, determine multiple monitoring locations for multiple windings.

[0040] In the technical solution provided by step S106 of the present invention, if it is determined that the working state of a winding in the transformer is a fault state, multiple monitoring positions corresponding to multiple windings can be determined respectively. These monitoring positions can be the locations to be monitored or pre-set locations, such as the upper left corner, the middle of the upper right corner, etc. It should be noted that this is only an example and no specific limitation is made to the monitoring positions.

[0041] Optionally, if the working state of a winding in the transformer is determined to be a fault state, multiple monitoring locations distributed on the winding can be determined separately to achieve the purpose of determining multiple monitoring locations for multiple windings.

[0042] For example, if it is determined that the working state of a winding in a three-phase transformer is a fault state, the monitoring positions of winding one can be determined as follows: upper right, upper left, middle right, middle left, lower right, and lower left; the monitoring positions of winding two are upper right, upper left, middle right, middle left, lower right, and lower left; and the monitoring positions of winding three are upper right, upper left, middle right, middle left, lower right, and lower left.

[0043] Step S108: Obtain vibration signals at monitoring locations, wherein the vibration signals are used to characterize the vibration of the winding, and the number of vibration signals is the same as the number of monitoring locations.

[0044] In the technical solution provided by step S108 of the present invention, vibration signals at the monitoring location can be acquired. These vibration signals characterize the vibration of the winding and can refer to vibration phenomena occurring inside the winding, typically caused by internal faults or abnormalities. The monitoring location can be a measuring point or a monitoring point.

[0045] Optionally, the number of vibration signals is the same as the number of monitoring locations, that is, there is a one-to-one correspondence between vibration signals and monitoring locations. The aforementioned vibration signals can be vibration monitoring signals, which can be monitored and detected by vibration sensors. Using these vibration signals, the operating status and health condition of the winding can be determined, and winding faults can be detected in a timely manner and corresponding maintenance measures can be taken.

[0046] Step S110: Based on multiple vibration signals corresponding to multiple monitoring locations, determine the target monitoring location where the fault occurred among the multiple monitoring locations.

[0047] In the technical solution provided by step S110 of the present invention, based on the vibration signals corresponding to multiple monitoring locations, the target monitoring location where the fault occurs can be determined among the multiple monitoring locations. The target monitoring location can be the target fault point.

[0048] For example, by using the amplitude data (which can be simply referred to as amplitude) of multiple vibration signals, the target monitoring location where the fault occurred can be determined among multiple monitoring locations.

[0049] Optionally, the amplitude data of the vibration signal can reflect the vibration intensity and frequency of the winding. The amplitude data of the vibration signal can be used to characterize the magnitude of the vibration signal, typically expressed as peak value, peak-to-peak value, or RMS value. The amplitude data of the vibration signal can be used to assess the vibration condition of the winding; by using the amplitude data, it is possible to determine whether a fault exists, such as abnormal vibration.

[0050] In this embodiment, vibration signals can be collected during winding vibration monitoring, and the amplitude data of the vibration signals can be extracted using signal processing technology. The amplitude data is then analyzed and compared. By monitoring and analyzing the amplitude data of the vibration signals, abnormal vibrations in windings operating in a faulty state can be detected in a timely manner. This allows for the identification of the target monitoring location of the fault among multiple monitoring locations, enabling maintenance at the target monitoring location and thus preventing transformer faults and ensuring the safe operation of the transformer.

[0051] Through steps S102 and S110 of the present invention, electrical signals of multiple windings in the transformer under operating conditions are obtained, resulting in multiple electrical signals. Based on these multiple electrical signals, the operating state of the multiple windings is determined. In response to a fault state, multiple monitoring positions of the multiple windings are determined. Vibration signals at the monitoring positions are obtained, wherein the vibration signals characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions. Based on the multiple vibration signals corresponding to the multiple monitoring positions, the target monitoring position where the fault occurs among the multiple monitoring positions is determined. In other words, in this embodiment of the present invention, electrical signals of multiple windings in the transformer under operating conditions are obtained. Based on these electrical signals, it can be determined whether a fault exists in the multiple windings. If a fault exists in the multiple windings, vibration signal data of multiple monitoring positions in the multiple windings can be obtained respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurs among the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer.

[0052] The method described in this embodiment will be further described below.

[0053] As an optional implementation, step S104, determining the operating state of multiple windings based on multiple electrical signals, includes: determining the maximum current signal and minimum current signal corresponding to the multiple windings among the multiple electrical signals; determining the transformer imbalance based on the maximum current signal and minimum current signal; and determining the operating state based on the imbalance.

[0054] In this embodiment, after acquiring multiple electrical signals corresponding to multiple windings, the transformer imbalance can be determined based on the current signal among the multiple electrical signals. The maximum current signal (I) mentioned above... max The minimum current signal (I) can be the largest current signal among multiple current signals determined based on multiple electrical signals. min The unbalance (β) can be the smallest current signal among multiple current signals determined based on multiple electrical signals. The unbalance can be used to characterize the degree of imbalance among multiple current signals.

[0055] Optionally, based on multiple electrical signals, the maximum and minimum current signals among the multiple current signals corresponding to multiple windings are determined. The unbalance can be determined based on the maximum and minimum current signals. The calculated unbalance is then further evaluated to determine the transformer's operating state.

[0056] Alternatively, the degree of imbalance can be calculated using the following formula:

[0057]

[0058] The following section provides a further explanation of the method for determining the working state based on the degree of imbalance.

[0059] As an optional implementation, the working state is determined based on the imbalance degree, including: determining the working state as a fault state in response to the imbalance degree not meeting the imbalance degree threshold; and determining the working state as a normal working state in response to the imbalance degree meeting the imbalance degree threshold.

[0060] In this embodiment, an unbalance threshold can be preset. The unbalance is judged using this threshold. If the unbalance meets the threshold, the operating state of multiple windings in the transformer is determined to be normal. If the unbalance does not meet the threshold, the operating state of one winding in the transformer is determined to be faulty; that is, the transformer is in a faulty operating state. The unbalance threshold can be determined in advance based on experience or testing; for example, it could be 2%. It should be noted that this is only an example, and no specific limitation is made on the value of the unbalance threshold.

[0061] For example, a pre-set imbalance threshold of 2% is used. The unbalance is assessed. If the unbalance meets the unbalance threshold (i.e., the calculated unbalance is greater than 2%), then the working state of multiple windings in the transformer can be determined to be a normal working state. If the unbalance does not meet the unbalance threshold (i.e., the calculated unbalance is less than 2%), then the working state of some windings in the transformer can be determined to be a fault state.

[0062] As an optional implementation, step S110, determining the target monitoring location where the fault occurred among the multiple monitoring locations based on multiple vibration signals corresponding to multiple monitoring locations, includes: determining the faulty winding among multiple windings where the fault occurred based on multiple vibration signals corresponding to multiple monitoring locations, wherein the faulty winding contains multiple monitoring locations; and determining the target monitoring location among the multiple monitoring locations based on multiple vibration signals corresponding to the multiple monitoring locations of the faulty winding.

[0063] In this embodiment, if it is determined that the transformer is in a fault state, that is, there is a winding in the multiple windings that is in a fault state, the faulty winding among the multiple windings can be determined based on the multiple vibration signals corresponding to multiple monitoring locations.

[0064] Optionally, if it is determined that there is a winding in the working state of a fault among multiple windings, the vibration signal of each winding in the multiple windings can be obtained to obtain multiple vibration signals. Based on the multiple vibration signals, the faulty winding in the multiple windings can be determined. Furthermore, based on the multiple vibration signals corresponding to the multiple monitoring positions of the faulty winding, the target detection position among the multiple monitoring positions distributed on the faulty winding can be determined. The target monitoring position can be the fault location point in the transformer.

[0065] The following section further explains how to determine the faulty winding among multiple windings based on multiple vibration signals corresponding to multiple monitoring locations.

[0066] As an optional implementation, based on multiple vibration signals corresponding to multiple monitoring locations, determining a faulty winding among multiple windings includes: determining a first monitoring location and a second monitoring location among the multiple monitoring locations, wherein the first monitoring location is located in the first winding among the multiple windings, the second monitoring location is located in the second winding among the multiple windings, and the phases of the first winding and the second winding are different; determining a first ratio between the vibration signal at the first monitoring location and the vibration signal at the second monitoring location; and, in response to the first ratio satisfying a first threshold range, determining a third winding among the multiple windings as a faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding.

[0067] In this embodiment, the transformer can be a three-phase transformer, which may include a first winding, a second winding, and a third winding. The first winding can be an A-phase winding, the second winding can be a C-phase winding, and the third winding can be a B-phase winding. The phases of the first winding and the second winding are different, and the phases of the third winding are different from the phases of the first winding and the second winding.

[0068] Optionally, each winding may have multiple monitoring positions, for example, six monitoring positions. It should be noted that this is only an example and there is no specific limit to the number of monitoring positions. The first and second monitoring positions mentioned above correspond to each other. For example, if the first monitoring position is the position point at the upper right of the first phase, then the second monitoring position is the position point at the upper right of the second phase.

[0069] Optionally, when it is determined that one of the multiple windings is in a faulty operating state, a first ratio (t1) between the vibration signal at the first monitoring position and the vibration signal at the second monitoring position can be determined. It can then be determined whether this first ratio meets a first threshold range. If the first ratio meets the first threshold range, the third winding among the multiple windings can be identified as the faulty winding. The aforementioned first threshold range can be a pre-set range, such as [1, 1.1]. It should be noted that this is only an example, and the size of the first threshold range is not specifically limited.

[0070] For example, if the unbalance does not meet the unbalance threshold, it can be determined that the operating state of a winding in the transformer is a fault state. Then, the ratio between the amplitude data of the vibration signals at the corresponding monitoring positions in the A-phase winding and the C-phase winding of the transformer can be calculated to obtain the first ratio (t1):

[0071]

[0072] in, It can be used to represent the amplitude data of the vibration signal at the first monitoring location. It can be used to represent the amplitude data of the vibration signal at the second monitoring location.

[0073] Assuming each phase winding has two points at the top, middle, and bottom, the first ratio can be the quotient between the vibration signal at the first monitoring position on the upper right of phase A winding and the amplitude of the vibration signal at the second monitoring position on the upper right of phase C winding.

[0074] Optionally, if This indicates an abnormality in the B-phase winding of the transformer.

[0075] As an optional implementation, the method may further include: in response to a first ratio not meeting a first threshold range, determining a second ratio between a vibration signal at a first monitoring location and a vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in a third winding among a plurality of windings; in response to a second ratio meeting a second threshold range, determining a second winding among the plurality of windings as a faulty winding; and in response to a second ratio not meeting a second threshold range, determining a first winding among the plurality of windings as a faulty winding.

[0076] In this embodiment, the second threshold range can be a threshold range set in advance based on tests or experiments, such as [1.5, 2]. It should be noted that this is only an example, and the size of the second threshold range is not specifically limited. The third monitoring position can be a monitoring position located on the third winding. The position of the third monitoring position on the third winding is the same as the position of the first monitoring position on the first winding.

[0077] Optionally, if the first ratio does not meet the first threshold range, a second ratio can be determined between the vibration signal at the first monitoring position and the vibration signal at the third monitoring position among the multiple monitoring positions; it can be determined whether the second ratio meets the second threshold range. If the second ratio meets the second threshold range, the second winding among the multiple windings can be determined to be the faulty winding; if the second ratio does not meet the second threshold range, the first winding among the multiple windings can be determined to be the faulty winding.

[0078] For example, if If the condition [1, 1.1] is not met, then the ratio of the vibration signal amplitude data of all corresponding measuring points in phases A and B is further calculated to obtain the second ratio (t2):

[0079]

[0080] in, It can be used to represent the amplitude data of the vibration signal at the third monitoring location.

[0081] If t2 satisfies This indicates an abnormality in the C-phase winding of the transformer; that is, it confirms that the C-phase winding is in a fault state. If t2 is not satisfied... This indicates that the A-phase winding in the transformer is abnormal, meaning that the working state of the A-phase winding is a fault state.

[0082] As an optional implementation, determining a target monitoring position among multiple monitoring positions based on multiple vibration signals corresponding to multiple monitoring positions of the faulty winding includes: determining a third ratio among the multiple vibration signals; and determining the target monitoring position based on the third ratio.

[0083] In this embodiment, multiple vibration signals from the faulty winding can be acquired, a third ratio between the amplitudes of the multiple vibration signals can be determined, resulting in multiple third ratios. Based on these third ratios, a target monitoring position among multiple monitoring positions can be determined. The aforementioned third ratio can be used to characterize the ratio between the amplitudes of vibration signals at different monitoring positions within the faulty winding.

[0084] Optionally, after determining the fault phase (i.e., the fault winding), the target fault point in the fault winding can be further determined.

[0085] For example, assuming that phase k has been diagnosed as a faulty winding, then the k winding in phase k can be calculated. 11 k 31 The ratio t3 between the amplitudes of the vibration signals at the measuring point (i.e., the monitoring location), and k 12 k 32 The ratio t4 of the vibration signal amplitude data at the measuring point can be used to diagnose the following situations:

[0086] If t3 and t4 both satisfy Then we can calculate k in phase k. 21 The measuring point and q are in phase q 21 The ratio t6 between the amplitudes of the vibration signals at the measuring point and the two values: If t6 satisfies Then the target monitoring location can be determined as k. 22 If the measurement point t6 does not satisfy the condition... Then the target monitoring location can be determined as k. 21 Measurement points.

[0087] If t3 satisfies t4 does not meet the requirements Then calculate k in phase k 11 k 12 The ratio t5 between the amplitudes of the vibration signals at the measuring point and the two values: If t5 satisfies Then the target monitoring location can be determined as k. 32 If t5 does not meet the criterion, then the target monitoring location can be determined as k. 12 Measurement points. Among them, the q-phase winding can be the winding in its normal operating state.

[0088] Optionally, if t4 satisfies the criterion but t3 does not, t5 can be calculated. If t5 satisfies the criterion... Then the target monitoring location can be determined as k. 31 If t5 does not meet the criterion, then the target monitoring location can be determined as k. 11 Measurement points. Among them, the third ratio may include t3, t4, and t5 mentioned above.

[0089] It should be noted that the size and English representation of the above numbers are for illustrative purposes only, and no specific limitations are imposed here.

[0090] As an optional implementation, electrical signals of multiple windings in the transformer under operating conditions are acquired to obtain multiple electrical signals, including: acquiring current signals from electrical signals in the data acquisition and monitoring control system SCADA to obtain multiple current signals.

[0091] In this embodiment, the current signal in the electrical signal can be obtained from the SCADA (Supervisory Control and Data Acquisition) system. The SCADA system can be a monitoring and control system, or a subsystem within the energy management system.

[0092] Optionally, considering the advantages of monitoring and control systems, such as complete information, accurate understanding of system operating status, accelerated decision-making, and rapid diagnosis of system faults, this embodiment utilizes SCADA to acquire and process electrical signals to determine the current signals corresponding to multiple windings in order to improve the reliability, safety, and economic efficiency of power distribution network operation, reduce the workload of dispatchers, achieve automation and modernization of power dispatch, and improve dispatch efficiency and level. When judging multiple monitoring locations among multiple windings, the current signals collected in SCADA can be acquired and further judged to determine the target monitoring location.

[0093] In this embodiment, a transformer winding fault location system based on SCADA is proposed. The system determines whether there is a fault in the winding of the transformer by using the three-phase current data and vibration signal amplitude of the transformer. The method can first determine the fault phase (that is, the phase in the transformer where the fault occurs), and then locate the fault at the target monitoring position (that is, the fault location) in the fault phase.

[0094] Optionally, by utilizing the transformer fault location system of SCADA, the transformer-to-voltage three-phase current data and vibration signals of the transformer to be diagnosed can be retrieved from the SCADA system. The transformer-to-voltage three-phase current data refers to the change in the value of the three-phase AC current after it has passed through the transformer in the power system; this changed current data can be considered as the transformer-to-voltage three-phase current data.

[0095] Optionally, current data and vibration signals can be acquired through the SCADA transformer fault location system. When it is necessary to determine the location of a fault in the transformer, current data and vibration signals can be retrieved from the SCADA transformer fault location system, and the target monitoring location in the transformer can be determined using the retrieved current data and vibration signals.

[0096] In this embodiment of the invention, electrical signals of multiple windings in a transformer under operating conditions are acquired. Based on the electrical signals, it can be determined whether there is a fault in the multiple windings. If there is a fault in the multiple windings, vibration signal data of multiple monitoring positions in the multiple windings can be acquired respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurred in the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer.

[0097] The technical solutions of the embodiments of the present invention will be illustrated below with reference to preferred embodiments.

[0098] Currently, transformers are key equipment in the entire power transmission process, responsible for raising or lowering voltage levels. Furthermore, due to their high manufacturing costs and complex processes, transformers are almost impossible to repair once a fault occurs, causing huge economic losses, power outages, and even casualties. Therefore, detecting early transformer faults and preventing their further deterioration is of paramount importance.

[0099] Since most transformer failures are caused by winding faults, online monitoring and early fault warning of transformer windings can effectively prevent transformer failures from occurring.

[0100] In related technologies, high-voltage tests are usually performed on transformers. However, this method only involves periodically testing and checking the transformers with equipment and instruments after power outages. This is not only time-consuming and labor-intensive, but also causes many unnecessary downtimes, which endangers the reliability of transformer operation and may even introduce some new faults during maintenance. Therefore, there is still a technical problem that cannot accurately determine the location of faults in transformers.

[0101] As an optional embodiment, an online transformer oil chromatography monitoring system is provided. This system is used to determine the location of faults in a transformer. The method takes into account that under normal operating conditions, the oil and solid insulation of a transformer gradually age and deteriorate, decomposing and releasing trace amounts of gases, such as hydrogen (H2), methane (CH4), ethane (C2H6), ethylene (C2H4), acetylene (C2H2), carbon monoxide (CO), and carbon dioxide (CO2). Therefore, when an overheating fault, a discharge fault, or moisture absorption occurs inside the transformer, the content of these gases will gradually increase. The amount of various gas components in the oil is directly related to the nature and extent of the fault. Therefore, during equipment operation, early warning rules can be formulated by monitoring the online data of the main transformer oil chromatography. This method can not only measure the composition and content of gases dissolved in the oil regularly, but also detect latent defects inside oil-filled power equipment in an early manner. However, this method can only determine whether the transformer has a fault, but cannot accurately locate the fault. Large-scale troubleshooting after a power outage can also cause cumulative damage to healthy parts of the main transformer during the inspection process. Therefore, there is still a technical problem that cannot accurately determine the location of the fault in the transformer.

[0102] To address the aforementioned issues, this embodiment employs online status monitoring of the transformer and establishes a SCADA-based transformer winding fault location system. This system utilizes the three-phase current signal and vibration signal of the transformer winding to determine whether the transformer is faulty and to accurately locate the fault position. This achieves the technical effect of accurately determining the fault location in the transformer, thus solving the technical problem of being unable to accurately determine the fault location in the transformer.

[0103] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments; the numbers in these embodiments are merely illustrative and are not intended to impose specific limitations. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention and are not specifically limited here.

[0104] Figure 2 This is a flowchart of a transformer winding fault phase-specific diagnosis method according to an embodiment of the present invention, such as... Figure 2 As shown, determining the fault phase in a transformer can include the following methods:

[0105] Step S202: Retrieve the three-phase current data and vibration signal of the transformer to be diagnosed in SCADA.

[0106] In this embodiment, a transformer winding fault location system based on SCADA is proposed. The system determines whether there is a fault in the winding of the transformer by using the three-phase current data and vibration signal amplitude of the transformer. The method can first determine the fault phase (that is, the phase in the transformer where the fault occurs), and then locate the fault at the target monitoring position (that is, the fault location) in the fault phase.

[0107] Optionally, by utilizing the transformer fault location system of SCADA, the transformer-to-voltage three-phase current data and vibration signals of the transformer to be diagnosed can be retrieved from the SCADA system. The transformer-to-voltage three-phase current data refers to the change in the value of the three-phase AC current after it has passed through the transformer in the power system; this changed current data can be considered as the transformer-to-voltage three-phase current data.

[0108] Optionally, current data and vibration signals can be acquired through the SCADA transformer fault location system. When it is necessary to determine the location of a fault in the transformer, current data and vibration signals can be retrieved from the SCADA transformer fault location system, and the target monitoring location in the transformer can be determined using the retrieved current data and vibration signals.

[0109] Step S204: Determine the transformer's unbalance and, based on the unbalance, determine the operating state of multiple windings.

[0110] In this embodiment, after acquiring multiple electrical signals corresponding to multiple windings, the transformer imbalance can be determined based on the current signal among the multiple electrical signals.

[0111] Optionally, based on multiple electrical signals, the maximum and minimum current signals among the multiple current signals corresponding to multiple windings are determined. The unbalance can be determined based on the maximum and minimum current signals. The calculated unbalance is then further evaluated to determine the transformer's operating state.

[0112] Alternatively, the degree of imbalance can be calculated using the following formula:

[0113]

[0114] For example, a pre-set imbalance threshold of 2% is used. The unbalance is assessed. If the unbalance meets the unbalance threshold (i.e., the calculated unbalance is greater than 2%), then the working state of multiple windings in the transformer can be determined to be a normal working state. If the unbalance does not meet the unbalance threshold (i.e., the calculated unbalance is less than 2%), then the working state of some windings in the transformer can be determined to be a fault state.

[0115] Step S206: Based on multiple vibration signals corresponding to multiple monitoring locations, identify the faulty winding among multiple windings.

[0116] In this embodiment, if it is determined that the transformer is in a fault state, that is, if there is a fault state among the multiple windings, the faulty winding among the multiple windings can be determined based on the multiple vibration signals corresponding to the multiple monitoring locations.

[0117] Optionally, if the unbalance does not meet the unbalance threshold, it can be determined that the operating state of a winding in the transformer is a fault state. In this case, the amplitude ratio t1 of the vibration signals at the corresponding monitoring locations in the A-phase winding and C-phase winding of the transformer can be calculated.

[0118]

[0119] Figure 3 This is a schematic diagram of a transformer winding vibration monitoring location according to an embodiment of the present invention, as shown below. Figure 3As shown, each phase winding has two points at the top, middle, and bottom. The A-phase winding may include monitoring positions 301 (a11), 302 (a12), 303 (a21), 304 (a22), 305 (a31), and 306 (a32); the B-phase winding may include monitoring positions 307 (b11), 308 (b12), 309 (b21), 3010 (b22), 3011 (b31), and 3012 (b32); and the C-phase winding may include monitoring positions 3013 (c11), 3014 (c12), 3015 (c21), 3016 (c22), 3017 (c31), and 3018 (c32).

[0120] Optionally, if This indicates an abnormality in the B-phase winding of the transformer. If... If [1, 1.1] is not satisfied, then the ratio t2 of the vibration signal amplitude data of all corresponding measuring points in phases A and B is further calculated:

[0121]

[0122] If t2 satisfies This indicates an abnormality in the C-phase winding of the transformer; that is, it confirms that the C-phase winding is in a fault state. If t2 is not satisfied... This indicates that the A-phase winding in the transformer is abnormal, meaning that the working state of the A-phase winding is a fault state.

[0123] Step S208: Determine the target fault point in the faulty winding.

[0124] In this embodiment, after determining the fault phase (i.e., the fault winding), the target fault point in the fault winding can be further determined.

[0125] Figure 4 This is a flowchart illustrating the determination of a target fault point according to an embodiment of the present invention, such as... Figure 4 As shown, the target fault point in the faulty winding can be determined through the following steps:

[0126] Step S401, calculate k in phase k 11 k 31 The ratio of vibration signal amplitude data at the measuring point t3 and k 12 k 32 The ratio of vibration signal amplitude data at the measuring point is t4.

[0127] In this embodiment, assuming that phase k winding has been diagnosed as a faulty winding, then the k winding in phase k can be calculated. 11 k31 The ratio t3 between the amplitudes of the vibration signals at the measuring point (i.e., the monitoring location), and k 12 k 32 The ratio of vibration signal amplitude data at the measuring point is t4.

[0128] Furthermore, t3 and t4 can be diagnosed to obtain diagnostic results, which are categorized into the following situations: both t3 and t4 meet the judgment criteria; t3 meets the judgment criteria but t4 does not; and t3 does not meet the judgment criteria but t4 does. The judgment criteria can be a pre-set threshold range or a threshold range determined through experiments or tests. It should be noted that this is merely an illustrative example, and no specific restrictions are placed on the method of determining the judgment criteria.

[0129] Step S402, calculate k in phase k 21 The measuring point and q are in phase q 21 Ratio of vibration signal amplitude data at measuring point t 6。

[0130] In this embodiment, if both t3 and t4 satisfy... Then we can calculate k in phase k. 21 The measuring point and q are in phase q 21 The ratio t6 between the amplitudes of the vibration signals at the measuring point and the two values:

[0131] Step S403, determine k 22 Measurement point malfunction.

[0132] In this embodiment, t6 is judged, and if t6 satisfies... Then the target monitoring location can be determined as k. 22 Measurement points.

[0133] Step S404, determine k 21 Measurement point malfunction.

[0134] In this embodiment, if t6 is not satisfied Then the target monitoring location can be determined as k. 21 Measurement points.

[0135] Step S405, calculate k in phase k 11 k 12 The ratio of vibration signal amplitude data at the measuring point, t5.

[0136] In this embodiment, if t3 satisfies t4 does not meet the requirements Then calculate k in phase k 11 k 12 The ratio t5 between the amplitudes of the vibration signals at the measuring point and the two values:

[0137] Step S406, determine k 32 Measurement point malfunction.

[0138] In this embodiment, if t5 satisfies Then the target monitoring location can be determined as k. 32 Measurement points.

[0139] Step S407, determine k 12 Measurement point malfunction.

[0140] In this embodiment, if t5 does not meet the criterion, the target monitoring location can be determined as k. 12 Measurement points. Among them, the q-phase winding can be the winding in its normal operating state.

[0141] Step S408, calculate k in phase k 11 k 12 The ratio of vibration signal amplitude data at the measuring point, t5.

[0142] In this embodiment, if t4 satisfies the criterion and t3 does not satisfy the criterion, t5 can be calculated.

[0143] Step S409, determine k 31 Measurement point malfunction.

[0144] In this embodiment, if t5 satisfies Then the target monitoring location can be determined as k. 31 Measurement points.

[0145] Step S410, determine k 11 Measurement point malfunction.

[0146] In this embodiment, if t5 does not meet the criterion, the target monitoring location can be determined as k. 11 Measurement points.

[0147] In this embodiment of the invention, remote data analysis and fault location are utilized, saving a significant amount of manpower and resources. The cumbersome process of on-site power outage testing in traditional methods is eliminated, reducing the risk of accidental contact with live devices and electric shock for on-site personnel during live testing. This embodiment combines data from three-phase current signals and vibration signals to comprehensively analyze the overall fault of the transformer, and is easy to implement, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer.

[0148] According to an embodiment of the present invention, a device for determining the location of a fault in a transformer is also provided. It should be noted that the device for determining the location of a fault in a transformer in this embodiment can be used to execute the method for determining the location of a fault in a transformer according to Embodiment 1 of the present invention.

[0149] Figure 5 This is a schematic diagram of a device for determining the location of a fault in a transformer according to an embodiment of the present invention. Figure 5 As shown, the fault location determination device 50 in the transformer may include: a first acquisition unit 502, a first determination unit 504, a second determination unit 506, a second acquisition unit 508, and a third determination unit 510.

[0150] The first acquisition unit 502 is used to acquire electrical signals of multiple windings in the transformer under operating conditions, thereby obtaining multiple electrical signals.

[0151] The first determining unit 504 is used to determine the operating state of multiple windings based on multiple electrical signals.

[0152] The second determining unit 506 is used to determine multiple monitoring positions of multiple windings in response to a fault state in the operating state.

[0153] The second acquisition unit 508 is used to acquire vibration signals at monitoring locations, wherein the vibration signals are used to characterize the vibration of the winding, and the number of vibration signals is the same as the number of monitoring locations.

[0154] The third determining unit 510 is used to determine the target monitoring location where the fault occurred among the multiple monitoring locations based on multiple vibration signals corresponding to multiple monitoring locations.

[0155] The transformer fault location determination device of this embodiment acquires electrical signals of multiple windings in the transformer under operating conditions through a first acquisition unit, thereby obtaining multiple electrical signals; determines the operating state of multiple windings based on the multiple electrical signals through a first determination unit; determines multiple monitoring positions of multiple windings in response to a fault state through a second determination unit; acquires vibration signals at the monitoring positions through a second acquisition unit, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determines the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of being unable to accurately determine the fault location in the transformer.

[0156] Embodiments of the present invention can provide a computer terminal, which can be any computer terminal device in a group of computer terminals. Optionally, in this embodiment, the computer terminal can also be replaced by a mobile terminal or other terminal device.

[0157] Optionally, in this embodiment, the computer terminal may be located in at least one of a plurality of network devices in a computer network.

[0158] In this embodiment, the computer terminal described above can execute the program code for the following steps in the method for determining the fault location in a transformer: acquiring electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determining the operating state of multiple windings based on the multiple electrical signals; determining multiple monitoring positions of multiple windings in response to the operating state being a fault state; acquiring vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determining the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0159] Optionally, Figure 6 This is a structural block diagram of a computer terminal according to an embodiment of the present invention, such as... Figure 6 As shown, the computer terminal 608 may include one or more (only one is shown in the figure) processors 602, memory 604, and transmission devices 606.

[0160] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the method and apparatus for determining the fault location in a transformer in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the aforementioned method for determining the fault location in a transformer. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to computer terminal 608 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0161] The processor can invoke information and application programs stored in the memory through the transmission device to perform the following steps: acquire electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determine the operating state of multiple windings based on the multiple electrical signals; determine multiple monitoring positions of multiple windings in response to a fault state; acquire vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determine the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0162] Those skilled in the art will understand that Figure 6The structure shown is for illustrative purposes only. The computer terminal 608 can also be a smartphone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (MID), a PAD, or other terminal device. Figure 6 This does not limit the structure of the computer terminal 608 described above. For example, the computer terminal 608 may also include components that are more advanced than those described above. Figure 6 The more or fewer components shown (such as network interfaces, display devices, etc.), or having the same Figure 6 The different configurations shown.

[0163] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0164] According to an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein the program executes the method for determining the fault location in a transformer in Embodiment 1.

[0165] Optionally, in this embodiment, the computer-readable storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0166] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: acquiring electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determining the operating state of multiple windings based on the multiple electrical signals; determining multiple monitoring positions of multiple windings in response to a fault state; acquiring vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determining the target monitoring position where a fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0167] Optionally, the aforementioned computer-readable storage medium may also execute program code that performs the following steps: determining the maximum and minimum current signals corresponding to multiple windings among multiple electrical signals; determining the transformer's unbalance based on the maximum and minimum current signals; and determining the operating state based on the unbalance.

[0168] Optionally, the computer-readable storage medium may also execute program code that performs the following steps: determining the operating state as a fault state in response to the imbalance degree not meeting the imbalance degree threshold; and determining the operating state as a normal operating state in response to the imbalance degree meeting the imbalance degree threshold.

[0169] Optionally, the computer-readable storage medium may also execute program code that performs the following steps: determining a faulty winding among multiple windings based on multiple vibration signals corresponding to multiple monitoring locations, wherein the faulty winding contains multiple monitoring locations; and determining a target monitoring location among the multiple monitoring locations based on multiple vibration signals corresponding to the multiple monitoring locations of the faulty winding.

[0170] Optionally, the computer-readable storage medium may also execute program code that performs the following steps: determining a first monitoring position and a second monitoring position among a plurality of monitoring positions, wherein the first monitoring position is located in a first winding among a plurality of windings, the second monitoring position is located in a second winding among a plurality of windings, and the phases of the first winding and the second winding are different; determining a first ratio between the vibration signal at the first monitoring position and the vibration signal at the second monitoring position; and, in response to the first ratio satisfying a first threshold range, determining a third winding among the plurality of windings as a faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding.

[0171] Optionally, the computer-readable storage medium may also execute program code that performs the following steps: in response to a first ratio not meeting a first threshold range, determining a second ratio between a vibration signal at a first monitoring location and a vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in a third winding; in response to a second ratio meeting a second threshold range, determining a second winding among a plurality of windings as a faulty winding; in response to a second ratio not meeting a second threshold range, determining a first winding among a plurality of windings as a faulty winding.

[0172] Optionally, the aforementioned computer-readable storage medium may also execute program code that performs the following steps: determining a third ratio among multiple vibration signals; and determining the target monitoring location based on the third ratio.

[0173] Optionally, the aforementioned computer-readable storage medium may also execute program code that performs the following steps: acquiring current signals from electrical signals in a data acquisition and monitoring control system (SCADA) to obtain multiple current signals.

[0174] In this embodiment, electrical signals of multiple windings in the transformer under operating conditions are acquired. Based on the electrical signals, it can be determined whether there is a fault in the multiple windings. If there is a fault in the multiple windings, vibration signal data of multiple monitoring positions in the multiple windings can be acquired respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurred in the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer.

[0175] According to an embodiment of the present invention, a processor is also provided for running a program, wherein the method for determining the fault location in the transformer in Embodiment 1 is executed when the program is run by the processor.

[0176] Optionally, in this embodiment, the computer terminal may be located in at least one of a plurality of network devices in a computer network.

[0177] In this embodiment, the computer terminal described above can execute the program code for the following steps in the multilingual translation method: acquiring electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determining the operating state of multiple windings based on the multiple electrical signals; determining multiple monitoring positions of multiple windings in response to a fault state in the operating state; acquiring vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determining the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0178] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the multilingual translation method and apparatus in this embodiment of the invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby realizing the aforementioned multilingual translation method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a computer terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0179] The processor can invoke information and application programs stored in the memory through the transmission device to perform the following steps: acquire electrical signals of multiple windings in the transformer under operating conditions to obtain multiple electrical signals; determine the operating state of multiple windings based on the multiple electrical signals; determine multiple monitoring positions of multiple windings in response to a fault state; acquire vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the windings, and the number of vibration signals is the same as the number of monitoring positions; and determine the target monitoring position where the fault occurs among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions.

[0180] Optionally, the processor may also execute program code that performs the following steps: among multiple electrical signals, determine the maximum and minimum current signals corresponding to multiple windings; based on the maximum and minimum current signals, determine the transformer's unbalance; and based on the unbalance, determine the operating state.

[0181] Optionally, the processor may also execute program code that performs the following steps: in response to the imbalance degree not meeting the imbalance degree threshold, determines the working state as a fault state; in response to the imbalance degree meeting the imbalance degree threshold, determines the working state as a normal working state.

[0182] Optionally, the processor may also execute program code that performs the following steps: based on multiple vibration signals corresponding to multiple monitoring locations, determine the faulty winding among multiple windings, wherein the faulty winding contains multiple monitoring locations; based on multiple vibration signals corresponding to the multiple monitoring locations of the faulty winding, determine the target monitoring location among the multiple monitoring locations.

[0183] Optionally, the processor may also execute program code that performs the following steps: determining a first monitoring position and a second monitoring position among a plurality of monitoring positions, wherein the first monitoring position is located in a first winding among a plurality of windings, the second monitoring position is located in a second winding among a plurality of windings, and the phases of the first winding and the second winding are different; determining a first ratio between the vibration signal at the first monitoring position and the vibration signal at the second monitoring position; and, in response to the first ratio satisfying a first threshold range, determining a third winding among the plurality of windings as a faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding.

[0184] Optionally, the processor may also execute program code that performs the following steps: in response to a first ratio not meeting a first threshold range, determining a second ratio between the vibration signal at a first monitoring location and the vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in a third winding; in response to a second ratio meeting a second threshold range, determining a second winding among a plurality of windings as a faulty winding; in response to a second ratio not meeting a second threshold range, determining a first winding among a plurality of windings as a faulty winding.

[0185] Optionally, the processor may also execute program code that performs the following steps: determining a third ratio between multiple vibration signals; and determining the target monitoring location based on the third ratio.

[0186] Optionally, the processor may also execute program code that performs the following steps: acquiring current signals from electrical signals in the SCADA data acquisition and monitoring control system to obtain multiple current signals.

[0187] By employing the embodiments of the present invention, electrical signals of multiple windings in a transformer under operating conditions are obtained. Based on the electrical signals, it can be determined whether there is a fault in the multiple windings. If there is a fault in the multiple windings, vibration signal data of multiple monitoring positions in the multiple windings can be obtained respectively. Using the multiple vibration signal data, the target monitoring position where the fault occurred in the multiple monitoring positions can be determined, thereby achieving the technical effect of accurately determining the fault location in the transformer and solving the technical problem of not being able to accurately determine the fault location in the transformer.

[0188] According to embodiments of the present invention, a computer program product is also provided, which includes computer instructions, wherein when executed by a processor, the computer instructions implement the method for determining the fault location in the transformer in Embodiment 1. Embodiments of this application may provide an electronic device, which may include a memory and a processor. Figure 7 This is a block diagram of an electronic device for a method of determining the location of a fault in a transformer according to an embodiment of this application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present application described and / or claimed herein.

[0189] like Figure 7As shown, device 700 includes a computing unit 701, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 702 or a computer program loaded from storage unit 708 into random access memory (RAM) 703. RAM 703 can also store various programs and data required for the operation of device 700. The computing unit 701, ROM 702, and RAM 703 are interconnected via bus 704. Input / output (I / O) interface 705 is also connected to bus 704.

[0190] Multiple components in device 700 are connected to I / O interface 705, including: input unit 706, such as keyboard, mouse, etc.; output unit 704, such as various types of monitors, speakers, etc.; storage unit 708, such as disk, optical disk, etc.; and communication unit 709, such as network card, modem, wireless transceiver, etc. Communication unit 709 allows device 700 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0191] The computing unit 701 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 701 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 701 performs the various methods and processes described above, such as data verification methods. For example, in some embodiments, the data verification method may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 708. In some embodiments, part or all of the computer program may be loaded and / or installed on device 700 via ROM 702 and / or communication unit 709. When the computer program is loaded into RAM 703 and executed by computing unit 701, one or more steps of the data verification method described above can be performed. Alternatively, in other embodiments, computing unit 701 can be configured to perform the data verification method by any other suitable means (e.g., by means of firmware).

[0192] According to an embodiment of this application, a method for determining the location of a fault in a transformer is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0193] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0194] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0195] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0196] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display, monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or pathball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0197] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication (e.g., a communication network) of any form or medium. Examples of communication networks include Local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

[0198] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0199] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0200] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0201] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed can be through some interfaces; the indirect coupling or communication connection of units or modules can be electrical or other forms.

[0202] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0203] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0204] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0205] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the location of a fault in a transformer, characterized in that, include: The electrical signals of multiple windings in the transformer under operating conditions are acquired to obtain multiple electrical signals; The operating states of the multiple windings are determined based on the multiple electrical signals. In response to the operating state being a fault state, multiple monitoring positions of multiple windings are determined; Vibration signals at the monitoring locations are acquired, wherein the vibration signals are used to characterize the vibration of the winding, and the number of vibration signals is the same as the number of monitoring locations; A first monitoring position and a second monitoring position are determined from a plurality of monitoring positions, wherein the first monitoring position is located in a first winding of a plurality of windings, and the second monitoring position is located in a second winding of a plurality of windings, and the phases of the first winding and the second winding are different; a first ratio is determined between the vibration signal at the first monitoring position and the vibration signal at the second monitoring position; in response to the first ratio satisfying a first threshold range, a third winding among the plurality of windings is determined to be a faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding; in response to the first ratio not satisfying a first threshold range, a third winding among the plurality of windings is determined to be a faulty winding. The system defines a first threshold range and determines a second ratio between the vibration signal at the first monitoring location and the vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in the third winding; in response to the second ratio satisfying the second threshold range, the system determines the second winding among the plurality of windings as the faulty winding; in response to the second ratio not satisfying the second threshold range, the system determines the first winding among the plurality of windings as the faulty winding, wherein the faulty winding includes a plurality of monitoring locations; based on the plurality of vibration signals corresponding to the plurality of monitoring locations of the faulty winding, the system determines a target monitoring location among the plurality of monitoring locations.

2. The method according to claim 1, characterized in that, Determining the operating state of the multiple windings based on the multiple electrical signals includes: Among the multiple electrical signals, determine the maximum current signal and the minimum current signal corresponding to the multiple windings; The unbalance of the transformer is determined based on the maximum current signal and the minimum current signal. The working state is determined based on the aforementioned imbalance.

3. The method according to claim 2, characterized in that, Determining the operating state based on the imbalance includes: In response to the imbalance degree not meeting the imbalance threshold, the operating state is determined to be a fault state; In response to the imbalance degree meeting the imbalance degree threshold, the working state is determined to be a normal working state.

4. The method according to claim 1, characterized in that, Determining the target monitoring position among the multiple monitoring positions based on the multiple vibration signals corresponding to the multiple monitoring positions of the faulty winding includes: Determine a third ratio among the plurality of said vibration signals; The target monitoring location is determined based on the third ratio.

5. The method according to any one of claims 1 to 4, characterized in that, The process of acquiring electrical signals from multiple windings in the transformer during operation yields multiple electrical signals, including: Multiple current signals are obtained from the electrical signals in the SCADA data acquisition and monitoring system.

6. A device for determining the location of a fault in a transformer, characterized in that, include: The first acquisition unit is used to acquire electrical signals of multiple windings in the transformer under operating conditions, and obtain multiple electrical signals; The first determining unit is used to determine the operating state of the plurality of windings based on the plurality of electrical signals; The second determining unit is used to determine multiple monitoring positions of the multiple windings in response to the operating state being a fault state; The second acquisition unit is used to acquire vibration signals at the monitoring positions, wherein the vibration signals are used to characterize the vibration of the winding, and the number of vibration signals is the same as the number of monitoring positions; A third determining unit is configured to determine a first monitoring position and a second monitoring position among a plurality of monitoring positions, wherein the first monitoring position is located in a first winding among a plurality of windings, and the second monitoring position is located in a second winding among a plurality of windings, and the phases of the first winding and the second winding are different; determine a first ratio between the vibration signal at the first monitoring position and the vibration signal at the second monitoring position; and, in response to the first ratio satisfying a first threshold range, determine a third winding among the plurality of windings as a faulty winding, wherein the phase of the third winding is different from the phase of the first winding and also different from the phase of the second winding; and, in response to the first ratio... If the first threshold range is not met, a second ratio is determined between the vibration signal at the first monitoring location and the vibration signal at a third monitoring location among a plurality of monitoring locations, wherein the third monitoring location is located in the third winding; if the second ratio meets the second threshold range, the second winding among the plurality of windings is determined to be the faulty winding; if the second ratio does not meet the second threshold range, the first winding among the plurality of windings is determined to be the faulty winding, wherein the faulty winding includes a plurality of monitoring locations; based on the plurality of vibration signals corresponding to the plurality of monitoring locations of the faulty winding, a target monitoring location among the plurality of monitoring locations is determined.

7. A computer program product, characterized in that, Includes computer instructions that, when executed by a processor, implement the method described in any one of claims 1 to 5.

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