A method, device and system for monitoring transformer winding deformation

Abstract

The present invention relates to the technical field of measuring electrical variables, and specifically to a transformer winding deformation monitoring method, device and system. The method obtains the design parameters of the transformer and the operating parameters of the transformer during the operation of the transformer, and the operation process of the transformer includes normal circuit operation and several circuit short circuits. The affected intensity coefficient of the transformer winding at each circuit short circuit is determined according to the design parameters and the operating parameters, and the influence on the transformer winding is taken into consideration to improve the accuracy of subsequent deformation monitoring results. The method determines the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit according to the affected intensity coefficient and the operating parameters, determines the actual deformation possibility of the transformer winding after each circuit short circuit according to the theoretical operating parameter range and the operating parameters, and determines the deformation monitoring result of the transformer winding according to the actual deformation possibility and the possibility threshold. The process is simple and the deformation monitoring efficiency is high.

Description

Technical Field

[0001] The present invention relates to the technical field of measuring electrical variables, and in particular to a transformer winding deformation monitoring method, device and system. Background Art

[0002] A transformer is an electrical device that operates based on the principle of electromagnetic induction, primarily used to change the voltage and current of alternating current (AC) while maintaining the base power of the power transmission. Transformers typically consist of two core components: an iron core and windings (coils). The windings are the core component of the transformer, and their design directly impacts voltage conversion, efficiency, and heat dissipation. However, during operation, transformers are inevitably subject to the impact of various short-circuit fault currents. When a short circuit occurs, the windings heat up, their mechanical strength decreases, and electrodynamic forces can make the windings more susceptible to damage or deformation.

[0003] Currently, transformer winding deformation monitoring relies primarily on vibration signals that may be present when the windings are deformed, as well as changes in the transformer's electrical parameters caused by winding deformation. When significant data changes occur, the transformer winding is considered deformed, and offline testing is performed. However, changes in transformer vibration data and electrical parameters can also be caused by other factors, such as insulation aging, external short circuits, and external vibration. Therefore, determining winding deformation requires a cumbersome and one-by-one investigation, resulting in low winding deformation detection efficiency. Furthermore, due to the multitude of factors that can cause data changes, winding deformation detection accuracy is low. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a transformer winding deformation monitoring method, device and system, and the technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for monitoring transformer winding deformation, comprising:

[0006] Obtaining design parameters of a transformer and, during operation of the transformer, obtaining operating parameters of the transformer, wherein the operation of the transformer includes normal circuit operation and several circuit short circuits;

[0007] Determining, based on the design parameters and the operating parameters, an affected intensity coefficient of the transformer winding each time a circuit is short-circuited;

[0008] Determining a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit according to the affected intensity coefficient and the operating parameters;

[0009] According to the theoretical operating parameter range and the operating parameters, the actual deformation possibility of the transformer winding after each circuit short circuit is determined, and according to the actual deformation possibility and the possibility threshold, the deformation monitoring result of the transformer winding is determined.

[0010] In one embodiment, the design parameters include the length of the winding conductor and the sum of the masses of the transformer winding and the iron core; the operating parameters include parameters of several data dimensions, including the input current, output current, vibration amplitude, vibration frequency, and temperature of the transformer winding; and determining the affected intensity coefficient of the transformer winding each time a circuit is short-circuited based on the design parameters and the operating parameters includes:

[0011] Determining the short-circuit current value of the transformer each time the circuit is short-circuited based on the input-end current and the output-end current each time the circuit is short-circuited;

[0012] determining the electromotive force exerted on the transformer winding each time the circuit is short-circuited based on the short-circuit current value and the winding conductor length;

[0013] Determining the electromotive force influence coefficient at each circuit short circuit based on the vibration amplitude, vibration frequency, electromotive force applied to the transformer winding at each circuit short circuit, and the total mass;

[0014] The average short-circuit temperature at each circuit short circuit is determined based on the temperature of the transformer winding, and the affected intensity coefficient of the transformer winding at each circuit short circuit is determined based on the average short-circuit temperature, the electrodynamic influence coefficient, and the duration of the circuit short circuit.

[0015] In one embodiment, determining the affected intensity coefficient of the transformer winding each time the circuit is short-circuited based on the short-circuit average temperature, the electrodynamic influence coefficient, and the duration of the circuit short-circuit comprises:

[0016] respectively determining a first product of the short-circuit average temperature, the electrodynamic influence coefficient, and the time length;

[0017] An affected intensity coefficient of the transformer winding each time a circuit short circuit occurs is determined according to the first product and the normalized function.

[0018] In one embodiment, the determining, based on the affected intensity coefficient and the operating parameters, of the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit includes:

[0019] Determining, based on the operating parameters, a first time interval between two adjacent short circuits and a second time interval between two adjacent short circuits, and determining, based on the first time intervals, an attenuation weight of the transformer winding for each short circuit;

[0020] Determining the operating parameter attenuation influence coefficients corresponding to two or more circuit short circuits based on the attenuation weight of the transformer winding at each circuit short circuit, the affected intensity coefficient of the transformer winding at each circuit short circuit, and the second time interval;

[0021] Determining the operating parameter interval attenuation coefficient of the transformer winding each time the circuit is short-circuited based on the operating parameter attenuation influence coefficient and the normalized function;

[0022] Determine the original upper limit and original lower limit of the working parameters when the circuit is operating normally between two adjacent times of circuit short circuit, and determine the theoretical working parameter range corresponding to the transformer winding after each circuit short circuit based on the original upper limit, the original lower limit and the working parameter interval attenuation coefficient; wherein the original upper limit of the working parameter includes the original upper limits corresponding to the parameters of several data dimensions, and the original lower limit of the working parameter includes the original lower limits corresponding to the parameters of several data dimensions.

[0023] In one embodiment, determining the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the original upper limit, the original lower limit, and the operating parameter interval attenuation coefficient includes:

[0024] Selecting a first candidate number of circuit short circuits from a plurality of circuit short circuits, and determining a circuit short circuit preceding the first candidate number of circuit short circuits as a second candidate number of circuit short circuits;

[0025] Determining a difference between a preset value and an attenuation coefficient of an operating parameter interval for a circuit short circuit of the first candidate number of times, and determining a new original upper limit corresponding to the circuit short circuit of the first candidate number of times based on the difference and a second product of the original upper limit of the operating parameter during normal circuit operation between the first candidate number of times and the second candidate number of times, as a theoretical upper limit of the operating parameter corresponding to the transformer winding after the circuit short circuit of the second candidate number of times;

[0026] Determine a sum of a preset value and an attenuation coefficient of an operating parameter interval for a circuit short circuit of the first candidate number of times; determine a new original lower limit corresponding to the circuit short circuit of the first candidate number of times based on the sum and a third product of the original lower limits of the operating parameters during normal circuit operation between the first candidate number of times and the second candidate number of times; use the new original lower limit as the theoretical lower limit of the operating parameters corresponding to the transformer winding after the circuit short circuit of the second candidate number of times; and determine a theoretical operating parameter range corresponding to the transformer winding after the circuit short circuit of the second candidate number of times based on the theoretical upper limit and the theoretical lower limit of the operating parameters;

[0027] Return to the step of selecting a first candidate number of circuit short circuits from a plurality of circuit short circuits, until a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined.

[0028] In one embodiment, determining the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameter includes:

[0029] selecting a first candidate number of circuit short circuits from a plurality of circuit short circuits, and determining a circuit short circuit preceding the first candidate number of circuit short circuits as a second candidate number of circuit short circuits;

[0030] Determining, based on the operating parameters, first target operating parameters for normal circuit operation after a first candidate number of circuit short circuits is recovered, and second target operating parameters for normal circuit operation after a second candidate number of circuit short circuits is recovered, and respectively determining first data change trends between parameters in each data dimension for the first candidate number of circuit short circuits and parameters in each data dimension of the first target operating parameters, and respectively determining second data change trends between parameters in each data dimension for the second candidate number of circuit short circuits and parameters in each data dimension of the second target operating parameters;

[0031] Determining parameter recovery differences corresponding to each data dimension each time the circuit is short-circuited based on differences between first data change trends of the parameters of each data dimension and second data change trends of the parameters of each data dimension and a normalization function;

[0032] Determining, based on the operating parameters and the theoretical operating parameter range, the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit;

[0033] The actual deformation possibility of the transformer winding after each circuit short circuit is determined based on the parameter recovery differences corresponding to each data dimension after each circuit short circuit and the deformation possibility of the transformer winding reflected by each data dimension during each circuit short circuit.

[0034] In one embodiment, determining, based on the operating parameters and the theoretical operating parameter range, the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit includes:

[0035] Compare the parameters of each data dimension in the working parameters after each circuit short circuit recovery with the theoretical working parameter range of the corresponding data dimension one by one;

[0036] When a parameter of any data dimension of the operating parameters is greater than a theoretical operating parameter upper limit of a theoretical operating parameter range of the corresponding data dimension, determining a first absolute value of a difference between the parameter of the data dimension and the corresponding theoretical operating parameter upper limit, and determining, based on a normalization function and the first absolute value, a deformation possibility of the transformer winding reflected by the data dimension after a corresponding number of circuit short circuits;

[0037] When the parameter of any data dimension in the working parameters is less than the theoretical working parameter lower limit of the theoretical working parameter range of the corresponding data dimension, determine the second absolute value of the difference between the parameter of the data dimension and the corresponding lower limit of the theoretical working parameter, and determine the deformation possibility of the transformer winding reflected by the data dimension after the corresponding number of circuit short circuits based on the normalization function and the second absolute value.

[0038] In one embodiment, determining the actual deformation possibility of the transformer winding after each circuit short circuit based on the parameter recovery difference corresponding to each data dimension after each circuit short circuit and the deformation possibility of the transformer winding reflected by each data dimension during each circuit short circuit includes:

[0039] Determining the start time of each circuit short circuit, respectively determining the start time and the time at which the circuit returns to normal operation after the corresponding number of circuit short circuits are restored, and respectively determining the elapsed time from the start time to the time at which the circuit returns to normal operation;

[0040] Determining the data anomaly tolerance corresponding to each data dimension after each circuit short circuit based on the elapsed time and the parameter recovery difference;

[0041] Determining respectively the fourth product of the reciprocal of the data anomaly tolerance corresponding to each data dimension after each circuit short circuit, the preset weight, and the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit;

[0042] A sum and average are performed according to the fourth product and the number of dimensions of the data dimensions, and the actual deformation possibility of the transformer winding after each circuit short circuit is determined according to the sum and average result and a normalization function.

[0043] In a second aspect, an embodiment of the present application provides a transformer winding deformation monitoring system, comprising:

[0044] an acquisition module, configured to acquire design parameters of a transformer and, during operation of the transformer, acquire operating parameters of the transformer, wherein the operation of the transformer includes normal circuit operation and several short circuits;

[0045] A first determining module is configured to determine, based on the design parameters and the operating parameters, an affected intensity coefficient of the transformer winding each time a circuit is short-circuited;

[0046] A second determining module is configured to determine a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the affected intensity coefficient and the operating parameters;

[0047] The monitoring module is used to determine the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters, and to determine the deformation monitoring result of the transformer winding based on the actual deformation possibility and the possibility threshold.

[0048] In a third aspect, an embodiment of the present application provides a transformer winding deformation monitoring device, comprising: a processor and a memory, wherein the memory stores instructions, and the instructions are loaded and executed by the processor to implement the method in any one of the above-mentioned embodiments.

[0049] The present invention has the following beneficial effects:

[0050] By obtaining the design parameters of the transformer and obtaining the working parameters of the transformer during the operation of the transformer, and the operation process of the transformer includes normal circuit operation and several circuit short circuits, the affected intensity coefficient of the transformer winding at each circuit short circuit is determined according to the design parameters and the working parameters, and the influence on the transformer winding is taken into consideration to improve the accuracy of the deformation monitoring results determined subsequently; according to the affected intensity coefficient and the working parameters, the theoretical working parameter range corresponding to the transformer winding after each circuit short circuit is determined, and according to the theoretical working parameter range and the working parameters, the actual deformation possibility of the transformer winding after each circuit short circuit is determined, and according to the actual deformation possibility and the possibility threshold, the deformation monitoring result of the transformer winding is determined, the deformation monitoring process is simple, and the deformation monitoring efficiency of the transformer winding is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0052] Figure 1 A schematic flow chart of the steps of a transformer winding deformation monitoring method provided by one embodiment of the present invention;

[0053] Figure 2 A structural block diagram of a transformer winding deformation monitoring system provided by one embodiment of the present invention;

[0054] Figure 3 This is a structural block diagram of a transformer winding deformation monitoring device provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0055] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a transformer winding deformation monitoring method, device, and system proposed in accordance with the present invention. In the following description, references to different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0056] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0057] It should be noted that the term “exemplary” in the embodiments of the present application refers to examples listed for the convenience of explanation, and other embodiments are not limited to the examples listed.

[0058] The following describes in detail a transformer winding deformation monitoring method, device and system provided by the present invention with reference to the accompanying drawings.

[0059] Related art methods for analyzing winding deformation after multiple short circuits primarily rely on changes in the transformer's inductance and capacitance data before and after the multiple short circuits to determine the cumulative amount of winding deformation. These methods fail to account for factors such as high temperature (caused by high current) and vibration (electrodynamic shock) associated with winding deformation, resulting in low reliability in the analysis results. Furthermore, the time and computing resources required to perform transient and iterative analysis of historical data and build simulation models make it difficult to obtain real-time winding deformation information during normal transformer operation, resulting in high latency in the results.

[0060] See also Figure 1 , which shows a flow chart of a transformer winding deformation monitoring method provided by an embodiment of the present invention. The transformer winding deformation monitoring method may include at least steps S100-S400:

[0061] S100: Obtain design parameters of a transformer, and obtain operating parameters of the transformer during the operation of the transformer. The operation of the transformer includes normal circuit operation and several circuit short circuits.

[0062] S200: Determine the affected intensity coefficient of the transformer winding each time the circuit is short-circuited according to the design parameters and the operating parameters.

[0063] S300. Determine a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit according to the affected intensity coefficient and the operating parameters.

[0064] S400: Determine the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters, and determine the deformation monitoring result of the transformer winding based on the actual deformation possibility and the possibility threshold.

[0065] The technical solution of the embodiment of the present application obtains the design parameters of the transformer and the operating parameters of the transformer during the operation of the transformer, and the operation process of the transformer includes normal circuit operation and several circuit short circuits. According to the design parameters and the operating parameters, the affected intensity coefficient of the transformer winding at each circuit short circuit is determined, and the influence on the transformer winding is taken into consideration to improve the accuracy of the deformation monitoring results determined subsequently; according to the affected intensity coefficient and the operating parameters, the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined; according to the theoretical operating parameter range and the operating parameters, the actual deformation possibility of the transformer winding after each circuit short circuit is determined; and according to the actual deformation possibility and the possibility threshold, the deformation monitoring result of the transformer winding is determined. The deformation monitoring process is simple and the deformation monitoring efficiency of the transformer winding is improved.

[0066] In one embodiment, the design parameters of the transformer include but are not limited to the winding conductor length , the sum of the mass of the transformer winding and core and the proportional constant of the transformer winding Alternatively, in another embodiment, the design parameters of the transformer may include the total length of the transformer winding in the axial direction of the transformer core. The total length of the winding in the radial direction of the transformer core and the number of winding turns , and then calculate the winding conductor length based on the formula : , without specific limitation.

[0067] In one embodiment, a transformer is connected to a circuit so that the transformer is in operation. Then, during the operation of the transformer, the operating parameters of the transformer are obtained through a detection element within a certain period of time (which can be set based on actual conditions); since the operating parameters of the transformer are continuously obtained within a certain period of time, during the operation of the transformer, there may be situations where the circuit operates normally and situations where the circuit shorts several times. In other words, the operating parameters obtained include some operating parameters when the circuit operates normally and some operating parameters when each circuit shorts. It should be noted that the detection elements include but are not limited to current sensors, voltage sensors, vibration sensors, infrared sensors, etc. In other embodiments, the types of sensors can be increased or decreased based on actual needs, and are not specifically limited. In the embodiment of the present application, the current sensor is installed at the input and output ends of the transformer, the voltage sensor is installed at the output end of the transformer, the vibration sensor is installed at the transformer core base and the transformer housing respectively, and the infrared sensor is installed inside the transformer. Therefore, the operating parameters may include parameters of several data dimensions, such as but not limited to the input current, output current, output voltage, vibration amplitude, vibration frequency, and transformer winding temperature of the transformer; and the acquisition frequency of each sensor is 1 time / second, for example. When each sensor acquires the corresponding parameter, the corresponding time is recorded, that is, the operating parameters also include the acquisition time corresponding to each parameter. In the embodiment of the present application, all collected working parameters will be uploaded to the remote monitoring platform. Therefore, based on the analysis of the working parameters, the remote monitoring platform can determine at which times the circuit operates normally and at which times which circuit short circuits occur (for example, the start and end times of each circuit short circuit, and the end time is also equivalent to the time when the circuit resumes normal operation after the circuit short circuit is restored), so as to facilitate the distinction between the parameter segments corresponding to the normal operation of the circuit and several circuit short circuits, and the specific working parameters in the corresponding parameter segments; in addition, the remote monitoring platform can perform pre-processing such as data cleaning and supplementation to ensure the accuracy of subsequent data processing.

[0068] It should be noted that when a short circuit occurs in the circuit where the transformer is located, the current passing through the transformer changes, that is, the original normal current becomes a short-circuit current (large current). At this time, the remote monitoring platform can determine that a short circuit has occurred in the circuit. Affected by the change in current size, the transformer winding will be affected by the electric force. The larger the current passing through the transformer in the circuit, the greater the electric force exerted on the transformer winding. The greater the electric force exerted on the winding, the greater the affected intensity coefficient of the transformer winding. Therefore, it is necessary to analyze the affected intensity coefficient of the transformer winding.

[0069] In one embodiment, step S200 includes steps S201-S204:

[0070] S201 , determining a short-circuit current value of the transformer each time the circuit is short-circuited according to the input-end current and the output-end current each time the circuit is short-circuited.

[0071] Optionally, from the operating parameters, determine the input current each time the circuit is short-circuited and the output current , then calculate the input current and the output current The average value of the short-circuit current of the transformer corresponding to each short circuit , that is, The short-circuit current of the transformer when the secondary circuit is short-circuited.

[0072] S202, respectively according to the short-circuit current value and the winding conductor length , determine the electric force acting on the transformer winding each time the circuit is short-circuited.

[0073] The specific calculation formula is:

[0074]

[0075] in, For the The electric force on the transformer winding when the secondary circuit is short-circuited, It is the proportional constant of the transformer winding and can be obtained from the factory parameters of the transformer.

[0076] S203. Determine the electromotive force influence coefficient at each circuit short circuit according to the vibration amplitude, vibration frequency, electromotive force on the transformer winding at each circuit short circuit, and total mass.

[0077] The specific calculation formula is:

[0078]

[0079] in, Indicates the The electrodynamic influence coefficient when the secondary circuit is short-circuited, Represents the total mass of the transformer winding and core, Indicates the The vibration amplitude of the transformer winding when the secondary circuit is short-circuited, Indicates the The vibration frequency of the transformer winding when the secondary circuit is short-circuited, Indicates the The vibration intensity of the transformer winding provided by the electric power when the secondary circuit is short-circuited, Indicates the Monitoring vibration intensity of transformer windings when the secondary circuit is short-circuited, is a normalized function. It should be noted that when the electromotive force influence coefficient The smaller the value, the stronger the transformer winding's anti-vibration ability is, and the lower the intensity of the short circuit effect is. On the contrary, the electrodynamic influence coefficient is The higher the value, the more susceptible it is to the high current caused by a short circuit in the secondary circuit.

[0080] S204. Determine the average short-circuit temperature of each short-circuit according to the temperature of the transformer winding, and determine the influence intensity coefficient of the transformer winding at each short-circuit according to the average short-circuit temperature, the electrodynamic influence coefficient, and the duration of the short-circuit.

[0081] It should be noted that due to the large current in the circuit caused by the short circuit, the temperature of the transformer winding will increase during the operation of the transformer, and the mechanical strength of the transformer winding will decrease due to the higher temperature. The higher the temperature during the short circuit and the longer the time of exposure to high temperature, the greater the affected strength coefficient of the transformer winding. Therefore, the temperature factor needs to be considered.

[0082] Optionally, the average short-circuit temperature at each short circuit is determined based on the temperature of the transformer winding, that is, the average short-circuit temperature at each short circuit is determined based on the time length of each short circuit. (i.e. The average short-circuit temperature of each circuit is determined by calculating the ratio of the total temperature of the transformer winding at all times to the number of temperatures. , that is, The average short-circuit temperature when the secondary circuit is short-circuited.

[0083] In one embodiment, the influence intensity coefficient of the transformer winding at each circuit short circuit is determined based on the short circuit average temperature, the electrodynamic influence coefficient, and the duration of the circuit short circuit. Specifically:

[0084] First, determine the short-circuit average temperature , electrodynamic influence coefficient and length of time The first product of .

[0085] Secondly, according to the first product And the normalization function , determine the affected intensity coefficient of the transformer winding each time the circuit is short-circuited, the formula is:

[0086]

[0087] in, For the The intensity factor of the transformer winding affected by a secondary circuit short circuit.

[0088] It should be noted that the circuit may repeatedly experience short circuits due to certain reasons, which may cause the transformer to experience multiple short circuits. The more times the transformer experiences short circuits, the more the mechanical strength of the transformer winding will gradually decrease due to multiple impacts, and the magnitude of each decrease will gradually increase. The probability of deformation of the transformer winding is usually greater, so when predicting the theoretical operating parameter range, the corresponding range is smaller.

[0089] In one embodiment, step S300 includes steps S301-S304:

[0090] S301. Determine, based on operating parameters, a first time interval between two adjacent short circuits and a second time interval between two adjacent short circuits, and determine, based on the first time intervals, an attenuation weight of a transformer winding for each short circuit.

[0091] Optionally, according to the operating parameters of each circuit short circuit, a first time interval between two adjacent circuit short circuits is determined, for example, The secondary circuit is short-circuited and the -1st time interval between short circuits For example, after the first short circuit, the circuit runs normally for 60 seconds, and then the second short circuit occurs. =2, then at this time is 60s, and the second time interval between the short circuits of two numbers of circuits, such as The secondary circuit is short-circuited and the Time interval between short circuits of secondary circuits Then, based on the first time interval, determine the attenuation weight of the transformer winding each time the circuit is short-circuited:

[0092]

[0093] in, For the The attenuation weight of the transformer winding when the secondary circuit is short-circuited, When the first circuit is short-circuited, the attenuation weight of the transformer winding is The default value is 0; when the attenuation weight The larger the value, the closer the interval between two adjacent short circuits, the stronger the attenuation of the transformer winding; the shorter the interval, the more residual stress there is inside the transformer winding. If the transformer winding is impacted again, the loss will be greater and the attenuation weight will be greater. On the contrary, if the interval between two adjacent short circuits is longer, the winding recovery effect will be better, the loss will be relatively low when it is impacted again, and the attenuation weight will be smaller.

[0094] S302: Determine the working parameter attenuation influence coefficients corresponding to two or more circuit short circuits according to the attenuation weight of the transformer winding each time the circuit is short-circuited, the affected intensity coefficient of the transformer winding each time the circuit is short-circuited, and the second time interval.

[0095] Optionally, according to the attenuation weight of the transformer winding each time the circuit is short-circuited (for example, Attenuation weight of transformer windings when the secondary circuit is short-circuited ), the affected intensity coefficient of the transformer winding each time the circuit is short-circuited ( Intensity factor of transformer winding affected by secondary circuit short circuit ) and the second time interval , determine the corresponding working parameter attenuation influence coefficient between two binary circuit short circuits The higher the value, the stronger the impact and the greater the attenuation of the transformer winding.

[0096] S303 , determining the operating parameter interval attenuation coefficient of the transformer winding each time the circuit is short-circuited according to the attenuation influence coefficient of each operating parameter and the normalization function.

[0097] Specifically, the calculation formula is:

[0098]

[0099] Among them, when the above formula is summed, The value range is 1~ , The value of is 2~U (U is the total number of short circuits in the circuit), is the normalization function, For the The working parameter range attenuation coefficient of the transformer winding when the secondary circuit is short-circuited. The working parameter range attenuation coefficient indicates the strength of the impact, not the direction of the impact.

[0100] S304. Determine the original upper limit and the original lower limit of the operating parameters when the circuit is operating normally between two adjacent times of circuit short circuits, and determine the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the original upper limit, the original lower limit and the operating parameter interval attenuation coefficient.

[0101] Optionally, since the working parameters include several data dimensions, the original upper limit of the working parameters includes the original upper limits corresponding to the parameters of the several data dimensions, and the original lower limit of the working parameters includes the original lower limits corresponding to the parameters of the several data dimensions; taking the two data dimensions of vibration amplitude and vibration frequency as examples, when determining the original upper limit and the original upper limit, they will respectively include the original upper limit and the original lower limit of the vibration amplitude, as well as the original upper limit and the original lower limit of the vibration amplitude. It can be understood that the theoretical working parameter range finally determined will also include the theoretical working parameter range of the vibration amplitude and the theoretical working parameter range of the vibration frequency. Other data dimensions are similar and will not be repeated.

[0102] In the embodiment of the present application, the original upper limit and the original lower limit of the working parameters when the circuit is in normal operation between two adjacent times of short circuit are determined respectively, for example, The secondary circuit is short-circuited and the - The original upper limit of the operating parameters during normal operation of the circuit between 1 short circuits and the original lower bound . Assume that the third circuit short circuit occurs 60s after the second circuit short circuit, then the normal operation time between the two circuit short circuits is 60s. Taking the two data dimensions of vibration amplitude and vibration frequency as examples, within the 60s, the maximum value of the vibration amplitude is A and the minimum value is B, and the maximum value of the vibration frequency is C and the minimum value is D. Then it can be determined that the original upper limit of the vibration amplitude of the normal operation time between the two short circuits is A, the original lower limit is B, the original upper limit of the vibration frequency is C, and the original lower limit is D. Therefore, the original upper limit of the parameters of each data dimension in the working parameters of the circuit during normal operation between two adjacent circuit short circuits can be determined. and the original lower bound .

[0103] In one embodiment, the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined based on the original upper limit, the original lower limit, and the operating parameter interval attenuation coefficient. Specifically:

[0104] First, a first candidate number of circuit short circuits is selected from a number of circuit short circuits, and a circuit short circuit before the first candidate number of circuit short circuits is determined as a second candidate number of circuit short circuits. For example, the first candidate number of circuit short circuits is the first candidate number of circuit short circuits. The circuit is short-circuited, and the second candidate circuit is short-circuited. The circuit is short-circuited. At this time, the working parameter interval attenuation coefficient of the first candidate number of circuit short-circuit is .

[0105] Secondly, determine the preset value (1 is used as an example for illustration) and the working parameter interval attenuation coefficient of the first candidate number of circuit short circuits The difference ( ), determine the new original upper limit corresponding to the circuit short circuit of the first candidate number according to the difference, the second product of the original upper limit of the operating parameter when the circuit is normally operating between the first candidate number and the second candidate number, (No. The new original upper limit corresponding to the short circuit of the secondary circuit) is ; New original cap As the second candidate number ( The upper limit of the theoretical working parameters of the transformer winding after the circuit is short-circuited (times).

[0106] Furthermore, the sum of the preset value (exemplarily described as 1) and the working parameter interval attenuation coefficient of the first candidate number of circuit short circuits is determined ( ), determine the new original lower limit corresponding to the short circuit of the first candidate number of circuits according to the third product of the sum value, the original lower limit of the operating parameters when the circuit is normally operating between the first candidate number of times and the second candidate number of times (No. The new original lower limit corresponding to the secondary circuit short circuit) is , the new original lower bound As the second candidate number ( The lower limit of the theoretical working parameters of the transformer winding after the circuit is short-circuited (times).

[0107] Then, the step of selecting the first candidate number of circuit short circuits from a plurality of circuit short circuits is returned until the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined, that is, the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined. , Indicates the When the secondary circuit is short-circuited The new original lower bound corresponding to the data dimension, Indicates the When the secondary circuit is short-circuited The new raw upper bound corresponding to the data dimension.

[0108] It should be noted that for any data dimension, whether the operating parameters obtained in real time are within the theoretical operating parameter range is judged to determine whether the transformer winding has the possibility of deformation; among them, when the circuit where the transformer is located recovers from a circuit short circuit, the operating parameters of the transformer will gradually recover, that is, from the abnormal parameters under the circuit short circuit state to the normal parameters under normal operation. Therefore, the closer the time to the short circuit recovery moment, the higher the tolerance when comparing parameters.

[0109] In one embodiment, step S400 determines the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters, including steps S401-S405:

[0110] S401: Select a first candidate number of circuit short circuits from a plurality of circuit short circuits, and determine a circuit short circuit preceding the first candidate number of circuit short circuits as a second candidate number of circuit short circuits.

[0111] Optionally, a first candidate number of circuit short circuits is selected from a number of circuit short circuits, and a previous circuit short circuit of the first candidate number of circuit short circuits is determined as a second candidate number of circuit short circuits, for example, the first candidate number of circuit short circuits is the first candidate number of circuit short circuits. The circuit is short-circuited, and the second candidate circuit is short-circuited. The secondary circuit is short-circuited.

[0112] S402. Based on the operating parameters, determine the first target operating parameters when the circuit operates normally after the circuit short circuit is recovered for the first candidate number of times, and the second target operating parameters when the circuit operates normally after the circuit short circuit is recovered for the second candidate number of times, and respectively determine the first data change trends of the parameters of each data dimension when the circuit short circuit is the first candidate number of times and the parameters of each data dimension in the first target operating parameters, and respectively determine the second data change trends of the parameters of each data dimension when the circuit short circuit is the second candidate number of times and the parameters of each data dimension in the second target operating parameters.

[0113] Optionally, when the circuit short circuit of the first candidate number is restored, that is, the After the short circuit of the first candidate circuit is restored, the circuit operates normally at this time, and the first target operating parameter corresponding to the normal operation of the circuit is determined from the operating parameters. Similarly, when the short circuit of the second candidate number of circuits is restored, that is, the first target operating parameter After the short circuit is restored, the circuit operates normally at this time, and the second target operating parameter corresponding to the normal operation of the circuit is determined from the operating parameters. Then, the first data change trend of the parameters of each data dimension when the circuit is short-circuited at the first candidate number of times and the parameters of each data dimension in the first target operating parameter are determined respectively. , that is, When the secondary circuit is short-circuited The first data change trend corresponding to the parameters of each data dimension, and the second data change trend of the parameters of each data dimension in the second target operating parameter when the circuit is short-circuited for the second candidate number of times are determined respectively , that is, -1st circuit short circuit The second data change trend corresponding to the parameter of each data dimension. It should be noted that when calculating the data change trend, it can be determined by calculating the difference. Taking vibration frequency as an example, the average vibration frequency is calculated based on each vibration frequency in the first target working parameter, and then the difference between the average vibration frequency and the average vibration frequency when the circuit is short-circuited is determined, thereby determining the data change trend of the vibration frequency; the data change trend can also be determined by other methods, such as determining the difference between any vibration frequency in the first target working parameter and any vibration frequency when the circuit is short-circuited to determine the data change trend of the vibration frequency. There is no specific limitation. The data change trends of other data dimensions are similar and will not be repeated.

[0114] S403: First data change trends of parameters of each data dimension Second data change trend of parameters in each data dimension The difference And the normalization function , determine the parameter recovery differences corresponding to each data dimension each time the circuit is short-circuited.

[0115] Specifically, the calculation formula is:

[0116]

[0117] in, For the When the secondary circuit is short-circuited The parameter recovery differences corresponding to the data dimensions.

[0118] S404: Determine the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit based on the operating parameters and the theoretical operating parameter range.

[0119] First, the parameters of each data dimension in the working parameters after each circuit short circuit is restored are compared with the theoretical working parameter range of the corresponding data dimension one by one. For example, the parameters of each data dimension in the working parameters at time T after each circuit short circuit is restored are compared with the theoretical working parameter range of the corresponding data dimension. For example, Representative After the short circuit of the secondary circuit is restored, at time T, the The parameters of each data dimension (actual parameter value) and the theoretical working parameter range of the corresponding data dimension Perform a one-by-one comparison.

[0120] Secondly, when the parameter of any data dimension in the working parameters is greater than the theoretical working parameter upper limit of the theoretical working parameter range of the corresponding data dimension, that is, , determine the first absolute value of the difference between the parameter of the data dimension and the corresponding upper limit of the theoretical working parameter , according to the normalization function and the first absolute value , determine the deformation possibility of the transformer winding reflected by this data dimension after the corresponding number of circuit short circuits , specifically refers to the After the secondary circuit is short-circuited, Moment, The deformation possibility of the transformer winding is reflected by the data dimension.

[0121]

[0122] Furthermore, when the parameter of any data dimension in the working parameters is less than the theoretical working parameter lower limit of the theoretical working parameter range of the corresponding data dimension, that is, , determine the second absolute value of the difference between the parameter of the data dimension and the corresponding theoretical working parameter lower limit , according to the normalization function And the second absolute value, to determine the deformation possibility of the transformer winding reflected by this data dimension after the corresponding number of circuit short circuits :

[0123]

[0124] S405. Determine the actual deformation possibility of the transformer winding after each circuit short circuit based on the parameter recovery difference corresponding to each data dimension at each circuit short circuit and the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit.

[0125] First, determine the start time of each circuit short circuit, determine the start time and the recovery time of the circuit normal operation after the corresponding number of circuit short circuits are restored, and determine the elapsed time from the start time to the recovery time. , that is, The time from the start of a short circuit to the recovery of the short circuit.

[0126] Secondly, according to the elapsed time and parameter recovery differences , determine the data anomaly tolerance corresponding to each data dimension after each circuit short circuit , that is, After the secondary circuit is short-circuited Data anomaly tolerance corresponding to each data dimension:

[0127]

[0128] Among them, the parameter recovery difference The smaller it is, the better the recovery effect is and the higher the tolerance to data anomalies is. The larger the time The smaller it is, the shorter the recovery time is. At this time, the data is unstable and the tolerance to abnormal data is high. The bigger.

[0129] Furthermore, the reciprocal of the data anomaly tolerance corresponding to each data dimension after each circuit short circuit is determined. , preset weights (No. The preset weights of the data dimensions) and the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit The fourth product .

[0130] Then, the sum and average are performed based on the fourth product and the number of dimensions of the data dimension, and the sum and average result is calculated based on the sum and average result. And the normalization function is used to determine the actual deformation possibility of the transformer winding after each circuit short circuit. The specific calculation formula is:

[0131]

[0132] in, The number of dimensions representing the dimensions of the data, For the The actual deformation probability of the transformer winding at time T after the secondary circuit is shorted. It should be noted that the probability of transformer winding deformation is adjusted by the data anomaly tolerance. The higher the data anomaly tolerance, the lower the probability of transformer winding deformation.

[0133] In addition, for the deformation of transformer windings, working parameters such as vibration frequency, vibration amplitude, and temperature correspond to their physical parameters, namely mechanical strength, and therefore have a stronger ability to explain deformation. For example, when the vibration intensity and temperature of the transformer windings are abnormal, the possibility of deformation of the transformer windings is higher. In summary, for vibration frequency, vibration amplitude, and temperature, preset weights can be set. , the preset weights of the remaining data dimensions .

[0134] In one embodiment, in step S400, the deformation monitoring result of the transformer winding is determined based on the actual deformation possibility and the possibility threshold, specifically:

[0135] Set a probability threshold in advance , when the real deformation possibility When the transformer winding is determined to be potentially deformed, further offline testing is performed. Offline testing methods include, but are not limited to, low-voltage pulse testing, short-circuit impedance testing, and image analysis. The appropriate offline testing method should be selected based on the actual situation. This offline testing method can determine the deformation characteristics of the transformer winding, thereby determining a deformation monitoring result indicating the presence of deformation. If a deformation monitoring result indicating deformation is obtained, the transformer winding can be physically repaired or replaced to ensure normal operation of the transformer.

[0136] It should be noted that the possibility threshold Adjustable, for example, the initial value is set to , adjust the initial value as the number of short circuits increases, for example, gradually reduce the initial value, and the amplitude of each reduction is , the new initial value is - .

[0137] The embodiment of the present application combines the operating parameters of multiple circuit short circuits in the circuit where the transformer is located, and obtains a more accurate real deformation possibility of the transformer winding based on the time interval between adjacent circuit short circuits, the impact of the short circuit on the transformer winding, the difference between the real-time obtained operating parameters and the theoretical operating parameter range, so that the final deformation monitoring result is more accurate; at the same time, it can determine the impact on the transformer winding by analyzing parameter samples of multiple data dimensions and combining the design parameters of the transformer winding, thereby improving the credibility of the deformation monitoring result, and the judgment method is relatively simple, and the delay in obtaining the result is low.

[0138] Reference Figure 2 , shows a structural block diagram of a transformer winding deformation monitoring system according to an embodiment of the present application, which may include:

[0139] An acquisition module is used to obtain the design parameters of the transformer and the operating parameters of the transformer during the operation of the transformer, the operation of the transformer including normal circuit operation and several circuit short circuits;

[0140] A first determination module is used to determine the affected intensity coefficient of the transformer winding each time the circuit is short-circuited according to the design parameters and the operating parameters;

[0141] A second determining module is configured to determine a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the affected intensity coefficient and the operating parameters;

[0142] The monitoring module is used to determine the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical working parameter range and working parameters, and to determine the deformation monitoring result of the transformer winding based on the actual deformation possibility and the possibility threshold.

[0143] In the embodiment of the present application, the functions of each module in the system can be referred to the corresponding description in the above method and will not be repeated here.

[0144] Reference Figure 3 In one embodiment, the present application also provides a transformer winding deformation monitoring device, including: a processor 310 and a memory 320, wherein the memory 320 stores instructions, and the instructions are loaded and executed by the processor 310 to implement the above-mentioned transformer winding deformation monitoring method.

[0145] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0146] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A transformer winding deformation monitoring method, characterized in that: The method comprises: Obtaining design parameters of a transformer and, during operation of the transformer, obtaining operating parameters of the transformer, wherein the operation of the transformer includes normal circuit operation and several circuit short circuits; Determining, based on the design parameters and the operating parameters, an affected intensity coefficient of the transformer winding each time a circuit is short-circuited; Determining a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit according to the affected intensity coefficient and the operating parameters; Determining the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters, and determining the deformation monitoring result of the transformer winding based on the actual deformation possibility and the possibility threshold; After each circuit short circuit, the theoretical operating parameter range of the transformer winding includes: Determining, based on the operating parameters, a first time interval between two adjacent short circuits and a second time interval between two adjacent short circuits, and determining, based on the first time intervals, an attenuation weight of the transformer winding for each short circuit; Determining the operating parameter attenuation influence coefficients corresponding to two or more circuit short circuits based on the attenuation weight of the transformer winding at each circuit short circuit, the affected intensity coefficient of the transformer winding at each circuit short circuit, and the second time interval; Determining the operating parameter interval attenuation coefficient of the transformer winding each time the circuit is short-circuited based on the operating parameter attenuation influence coefficient and the normalized function; Determine the original upper limit and original lower limit of the operating parameter when the circuit is in normal operation between two adjacent times of circuit short circuits, and determine the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the original upper limit, the original lower limit, and the operating parameter interval attenuation coefficient; wherein the original upper limit of the operating parameter includes the original upper limits corresponding to the parameters of the multiple data dimensions, and the original lower limit of the operating parameter includes the original lower limits corresponding to the parameters of the multiple data dimensions; The determining of the theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the original upper limit, the original lower limit, and the operating parameter interval attenuation coefficient includes: Selecting a first candidate number of circuit short circuits from a plurality of circuit short circuits, and determining a circuit short circuit preceding the first candidate number of circuit short circuits as a second candidate number of circuit short circuits; Determining a difference between a preset value and an attenuation coefficient of an operating parameter interval for a circuit short circuit of the first candidate number of times, and determining a new original upper limit corresponding to the circuit short circuit of the first candidate number of times based on the difference and a second product of the original upper limit of the operating parameter during normal circuit operation between the first candidate number of times and the second candidate number of times, as a theoretical upper limit of the operating parameter corresponding to the transformer winding after the circuit short circuit of the second candidate number of times; Determine a sum of a preset value and an attenuation coefficient of an operating parameter interval for a circuit short circuit of the first candidate number of times; determine a new original lower limit corresponding to the circuit short circuit of the first candidate number of times based on the sum and a third product of the original lower limits of the operating parameters during normal circuit operation between the first candidate number of times and the second candidate number of times; use the new original lower limit as the theoretical lower limit of the operating parameters corresponding to the transformer winding after the circuit short circuit of the second candidate number of times; and determine a theoretical operating parameter range corresponding to the transformer winding after the circuit short circuit of the second candidate number of times based on the theoretical upper limit and the theoretical lower limit of the operating parameters; Returning to the step of selecting a first candidate number of circuit short circuits from the plurality of circuit short circuits, until a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit is determined; Determining the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters includes: selecting a first candidate number of circuit short circuits from a plurality of circuit short circuits, and determining a circuit short circuit preceding the first candidate number of circuit short circuits as a second candidate number of circuit short circuits; Determining, based on the operating parameters, first target operating parameters for normal circuit operation after a first candidate number of circuit short circuits is recovered, and second target operating parameters for normal circuit operation after a second candidate number of circuit short circuits is recovered, and respectively determining first data change trends between parameters in each data dimension for the first candidate number of circuit short circuits and parameters in each data dimension of the first target operating parameters, and respectively determining second data change trends between parameters in each data dimension for the second candidate number of circuit short circuits and parameters in each data dimension of the second target operating parameters; Determining parameter recovery differences corresponding to each data dimension each time the circuit is short-circuited based on differences between first data change trends of the parameters of each data dimension and second data change trends of the parameters of each data dimension and a normalization function; Determining, based on the operating parameters and the theoretical operating parameter range, the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit; The actual deformation possibility of the transformer winding after each circuit short circuit is determined based on the parameter recovery differences corresponding to each data dimension after each circuit short circuit and the deformation possibility of the transformer winding reflected by each data dimension during each circuit short circuit.

2. The transformer winding deformation monitoring method according to claim 1, characterized in that: The design parameters include the length of the winding conductor and the sum of the masses of the transformer winding and the iron core. The operating parameters include parameters of several data dimensions, including the input current, output current, vibration amplitude, vibration frequency, and temperature of the transformer winding. Determining the affected intensity coefficient of the transformer winding each time the circuit is short-circuited according to the design parameters and the operating parameters includes: Determining the short-circuit current value of the transformer each time the circuit is short-circuited based on the input-end current and the output-end current each time the circuit is short-circuited; determining the electromotive force exerted on the transformer winding each time the circuit is short-circuited based on the short-circuit current value and the winding conductor length; Determining the electromotive force influence coefficient at each circuit short circuit based on the vibration amplitude, vibration frequency, electromotive force applied to the transformer winding at each circuit short circuit, and the total mass; The average short-circuit temperature at each circuit short circuit is determined based on the temperature of the transformer winding, and the affected intensity coefficient of the transformer winding at each circuit short circuit is determined based on the average short-circuit temperature, the electrodynamic influence coefficient, and the duration of the circuit short circuit.

3. The transformer winding deformation monitoring method according to claim 2, characterized in that: The determining of the affected intensity coefficient of the transformer winding each time the circuit is short-circuited according to the short-circuit average temperature, the electrodynamic influence coefficient, and the duration of the circuit short-circuit comprises: respectively determining a first product of the short-circuit average temperature, the electrodynamic influence coefficient, and the time length; An affected intensity coefficient of the transformer winding each time a circuit short circuit occurs is determined according to the first product and the normalized function.

4. The transformer winding deformation monitoring method according to claim 1, characterized in that: Determining the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit based on the operating parameters and the theoretical operating parameter range includes: Compare the parameters of each data dimension in the working parameters after each circuit short circuit recovery with the theoretical working parameter range of the corresponding data dimension one by one; When a parameter of any data dimension of the operating parameters is greater than a theoretical operating parameter upper limit of a theoretical operating parameter range of the corresponding data dimension, determining a first absolute value of a difference between the parameter of the data dimension and the corresponding theoretical operating parameter upper limit, and determining, based on a normalization function and the first absolute value, a deformation possibility of the transformer winding reflected by the data dimension after a corresponding number of circuit short circuits; When the parameter of any data dimension in the working parameters is less than the theoretical working parameter lower limit of the theoretical working parameter range of the corresponding data dimension, determine the second absolute value of the difference between the parameter of the data dimension and the corresponding lower limit of the theoretical working parameter, and determine the deformation possibility of the transformer winding reflected by the data dimension after the corresponding number of circuit short circuits based on the normalization function and the second absolute value.

5. The transformer winding deformation monitoring method according to claim 1, characterized in that: Determining the actual deformation possibility of the transformer winding after each circuit short circuit based on the parameter recovery difference corresponding to each data dimension after each circuit short circuit and the deformation possibility of the transformer winding reflected by each data dimension during each circuit short circuit includes: Determining the start time of each circuit short circuit, respectively determining the start time and the time at which the circuit returns to normal operation after the corresponding number of circuit short circuits are restored, and respectively determining the elapsed time from the start time to the time at which the circuit returns to normal operation; Determining the data anomaly tolerance corresponding to each data dimension after each circuit short circuit based on the elapsed time and the parameter recovery difference; Determining respectively the fourth product of the reciprocal of the data anomaly tolerance corresponding to each data dimension after each circuit short circuit, the preset weight, and the deformation possibility of the transformer winding reflected by each data dimension after each circuit short circuit; A sum and average are performed according to the fourth product and the number of dimensions of the data dimensions, and the actual deformation possibility of the transformer winding after each circuit short circuit is determined according to the sum and average result and a normalization function.

6. A transformer winding deformation monitoring system, the system being used to implement the method according to any one of claims 1 to 5, characterized in that: include: an acquisition module, configured to acquire design parameters of a transformer and, during operation of the transformer, to acquire operating parameters of the transformer, wherein the operation of the transformer includes normal circuit operation and several short circuits; A first determining module is configured to determine, based on the design parameters and the operating parameters, an affected intensity coefficient of the transformer winding each time a circuit is short-circuited; A second determining module is configured to determine a theoretical operating parameter range corresponding to the transformer winding after each circuit short circuit based on the affected intensity coefficient and the operating parameter; The monitoring module is used to determine the actual deformation possibility of the transformer winding after each circuit short circuit based on the theoretical operating parameter range and the operating parameters, and to determine the deformation monitoring result of the transformer winding based on the actual deformation possibility and the possibility threshold.

7. A transformer winding deformation monitoring device, characterized in that: include: A processor and a memory, wherein the memory stores instructions, and the instructions are loaded and executed by the processor to implement the method according to any one of claims 1 to 5.

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