Time domain on-line detection method for transformer winding deformation based on secondary side inductance

Abstract

The invention relates to the technical field of transformer fault diagnosis, in particular to a time domain online detection method for transformer winding deformation based on secondary side inductance, which comprises the following steps of: sampling, collecting and uniformly arranging electrical quantity in an operation process to obtain a standardized processing result; performing parameter calculation based on a unified arrangement result, and combining phasor relation derivation to obtain a calculation parameter representing a winding state; the parameter is compared with a reference parameter, a difference range is determined through threshold judgment, winding deformation is judged, and a judgment result is output; compared with the prior art, real-time information acquisition can be realized in an equipment operation state, shutdown or disintegration detection is avoided, whether deformation occurs or not is directly judged, and the method is suitable for online detection of a power grid operation environment, has continuity and instantaneity, and is beneficial to reducing accident risks, reducing unplanned power failure and improving operation safety and reliability.

Description

Technical Field

[0001] This invention relates to the field of transformer fault diagnosis technology, and in particular to a time-domain online detection method for transformer winding deformation based on secondary inductance. Background Technology

[0002] In existing power systems, transformers, as crucial equipment for power transmission and distribution, directly impact the stability of the power grid through their operational safety. The windings are the core components of a transformer, and their structural integrity determines the equipment's insulation performance and mechanical strength. Deformation of the windings can lead to inter-turn short circuits, winding grounding, or phase-to-phase short circuits, potentially causing serious accidents such as fires and explosions, threatening the safety of power grid equipment and personnel. For example, during operation, deformed windings are easily further damaged under electromagnetic forces, potentially resulting in insulation breakdown and widespread power outages.

[0003] The commonly used low-voltage short-circuit impedance method determines winding deformation by applying voltage to the low-voltage side and measuring the short-circuit impedance. However, this method is an offline detection method and cannot achieve real-time monitoring during equipment operation, resulting in insufficient detection timeliness. Furthermore, the accuracy of comparative analysis using this method is easily affected by load fluctuations and external interference, leading to insufficient result stability. Therefore, a new method is urgently needed to monitor and accurately determine winding deformation online, thereby improving the real-time performance and reliability of the detection. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a time-domain online detection method for transformer winding deformation based on secondary inductance, which solves the problems of existing low-voltage short-circuit impedance methods that can only detect offline and lack real-time performance. It can monitor the changes in secondary inductance online during transformer operation; by comparing the operating inductance with the factory inductance value, it can effectively determine whether the winding has deformed, thereby improving the real-time performance and accuracy of detection and avoiding insulation breakdown and large-scale power outage accidents caused by winding deformation.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a time-domain online detection method for transformer winding deformation based on secondary inductance, comprising:

[0008] Electrical quantities during operation are sampled and collected, and the collected data is organized in a unified manner to obtain standardized processing results;

[0009] Based on the standardized processing results after unified organization, parameter calculations are performed, and derivations are made in conjunction with phasor relationships to obtain the calculation parameters characterizing the winding state.

[0010] The obtained parameters are compared with the reference parameters, the difference range is determined by the threshold judgment, the winding deformation is determined, and the judgment result is output.

[0011] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the step of sampling and collecting electrical quantities during operation and uniformly organizing the collected raw data includes:

[0012] Relevant data information is collected using current transformers;

[0013] The collected data is filtered and calculated.

[0014] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the step of calculating execution parameters and deriving them in conjunction with phasor relationships includes:

[0015] The processed data is then used to perform calculations, and phasor relationships are introduced during the calculation process.

[0016] Based on phasor relationships, a formulaic derivation is performed to obtain parameter results characterizing the winding state.

[0017] The advantages of this preferred technical solution are as follows: it can introduce phasor relationships for calculation based on the sorted electrical quantity data, ensuring that the phase characteristics between current and voltage are accurately expressed; the secondary inductance parameters are obtained through formulaic derivation, so that the determination of winding deformation is based on quantifiable parameters, avoiding the problem of excessive reliance on impedance measurement results in traditional testing; this solution can be completed under the actual operating conditions of the transformer, ensuring that the results are real-time and stable, and providing reliable data basis for the diagnosis of winding deformation.

[0018] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the step of determining the difference range and judging the winding deformation by threshold judgment includes:

[0019] Compare the obtained parameter results with the preset benchmark parameters;

[0020] A threshold condition is introduced, and the range of difference is determined based on the threshold condition;

[0021] The determination of winding deformation is based on the range of differences.

[0022] The advantages of this preferred technical solution are as follows: by comparing the calculated secondary inductance parameters with the factory reference parameters, a clear comparison result can be obtained under the transformer's operating conditions; by introducing threshold conditions, the range of differences is limited, avoiding misjudgments caused by measurement errors or environmental fluctuations; by making judgments based on the range of differences, it is possible to identify whether the winding has deformed without affecting the operation of the equipment, realizing direct diagnosis during operation and improving the accuracy and operability of the detection.

[0023] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the acquired data information includes:

[0024] The primary current, secondary voltage, and secondary current of the transformer are collected using voltage transformers and current transformers.

[0025] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the step of calculating the processed data information and introducing phasor relationships during the calculation process includes:

[0026] Calculate the current derivative, correct the voltage value. The filtered current and voltage are still sinusoidal quantities, and their reciprocals are also sinusoidal. Then, find the phasor value of the current derivative and the modified voltage.

[0027] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the calculated current derivative is expressed as:

[0028]

[0029] Among them, i n i represents the current sample value at the nth discrete time step; n-1 T represents the current sample value at the (n-1)th discrete time step; s Indicates the sampling interval; w represents the angular frequency;

[0030] The corrected voltage value is calculated as follows:

[0031]

[0032] Among them, u n This represents the voltage sample value at the nth discrete moment; u n-1 This represents the voltage sample value at the (n-1)th discrete time step; u 2n This represents the corrected instantaneous voltage value.

[0033] As a preferred embodiment of the time-domain online detection method for transformer winding deformation based on secondary inductance described in this invention, the step of introducing a threshold condition and determining the difference range based on the threshold condition includes:

[0034] The obtained parameter results are compared with the preset benchmark parameters, and the difference value is calculated;

[0035] When the difference value is greater than the set threshold, it is determined to be a winding deformation situation;

[0036] When the difference value is less than or equal to the set threshold, it is determined that the winding has not deformed.

[0037] In a second aspect, the present invention provides an electronic device, comprising:

[0038] Memory and processor;

[0039] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of a time-domain online detection method for transformer winding deformation based on secondary inductance.

[0040] Thirdly, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the time-domain online detection method for transformer winding deformation based on secondary inductance.

[0041] Compared with existing technologies, the beneficial effects of this invention are as follows: By sampling, collecting, and uniformly organizing electrical quantities during operation, this invention ensures the integrity and standardization of data input, enabling real-time information acquisition while the equipment is energized. Parameter calculations are derived using phasor relationships to obtain key parameters reflecting changes in winding inductance, avoiding the inconvenience of traditional detection methods that require shutdown or disassembly. By comparing the calculated parameters with benchmark parameters and introducing threshold conditions, it is possible to directly determine whether winding deformation has occurred during operation, promptly identifying potential hazards that may lead to serious faults such as short circuits and insulation breakdown. This method enables online detection of transformer winding status under actual power grid operating conditions, possessing continuity and immediacy, which helps reduce the risk of sudden accidents, decrease unplanned power outages, and improve the safety of equipment operation and the overall reliability of the power system. Attached Figure Description

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0043] Figure 1 This is a schematic diagram of the overall process of a time-domain online detection method for transformer winding deformation based on secondary inductance, according to an embodiment of the present invention.

[0044] Figure 2 This is a transformer field wiring diagram for a time-domain online detection method for transformer winding deformation based on secondary inductance, as described in one embodiment of the present invention.

[0045] Figure 3 This is an electrical parameter diagram obtained from the first test of a time-domain online detection method for transformer winding deformation based on secondary inductance, according to an embodiment of the present invention.

[0046] Figure 4 This is a derivative graph of the current obtained from the first test of a time-domain online detection method for transformer winding deformation based on secondary inductance, according to an embodiment of the present invention.

[0047] Figure 5 The image shows the waveform of the transformer secondary inductance, as described in an embodiment of the present invention, for a time-domain online detection method of transformer winding deformation based on secondary inductance. Detailed Implementation

[0048] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. 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 protection scope of the present invention.

[0049] Example 1, referring to Figure 1 As an embodiment of the present invention, a time-domain online detection method for transformer winding deformation based on secondary inductance is provided, comprising:

[0050] S1: Sample and collect electrical quantities during operation, and organize the collected data to obtain standardized processing results;

[0051] S2: Based on the standardized processing results after unified organization, perform parameter calculations and derive the calculation parameters characterizing the winding state by combining phasor relationships;

[0052] S3: Compare the obtained parameters with the reference parameters, determine the difference range through threshold judgment, determine the winding deformation, and output the judgment result.

[0053] It should be noted that the existing low-voltage short-circuit impedance method, as a commonly used method for detecting winding deformation, requires testing when the equipment is shut down. During the testing process, voltage must be manually applied and the high-voltage side short-circuited. This is not only complicated to operate, but the test results are also easily affected by load fluctuations and external interference. It is difficult to meet the continuous monitoring requirements of transformers under actual operating conditions, and it suffers from poor real-time performance and insufficient accuracy.

[0054] Therefore, addressing the aforementioned issues of detection reliance on shutdown, insufficient real-time performance, and poor result stability, steps S1-S3 are employed. By sampling and collecting electrical quantities during operation and uniformly organizing the collected data, standardized input can be obtained while the equipment is running. Based on the organized data, parameter calculations are performed and derivations are made using phasor relationships to obtain key parameters characterizing changes in winding inductance. By comparing the obtained parameters with reference parameters and introducing threshold conditions to determine the range of differences, it can be determined whether winding deformation has occurred. Through these steps, online detection and diagnosis of transformer winding status under power grid operating conditions are achieved, overcoming the shortcomings of traditional methods that require shutdown for detection and improving the timeliness and accuracy of detection.

[0055] Example 2, refer to Figures 2-5 As an embodiment of the present invention, based on the above embodiment, a time-domain online detection method for transformer winding deformation based on secondary inductance is provided.

[0056] In this embodiment of the application, step S1 involves sampling and collecting electrical quantities during operation, and then uniformly organizing the collected data to obtain standardized processing results, including:

[0057] A1: Relevant data information is obtained by using a current transformer;

[0058] A2: Perform filtering calculations on the collected data.

[0059] Specifically, A1 to A2 include installing voltage transformers and current transformers on the primary and secondary sides of the transformer. The voltage and current transformers are used to collect the primary current, secondary voltage, and secondary current of the transformer; the collected data is then filtered.

[0060] For example, such as Figure 2 As shown, a 220V / 30V small single-phase transformer is used, and the load resistance simulates the basic working condition; the load is an adjustable high-power resistor with a maximum value of 100 ohms; current and voltage data are collected by a power quality analyzer, and the sampled data are recorded on an SD card. The primary current, secondary voltage, and secondary current of the transformer are collected by voltage transformers and current transformers.

[0061] Let u2, i1, and i2 represent a set of sampled values, and u′2, i ... i i′2 represents another set of sampled values; u2 represents the first set of instantaneous sampled values ​​of the transformer secondary voltage, i1 represents the first set of instantaneous sampled values ​​of the transformer primary current, i2 represents the first set of instantaneous sampled values ​​of the transformer secondary current; u′2 represents the second set of instantaneous sampled values ​​of the transformer secondary voltage, i′ i i' represents the second set of instantaneous sampled values ​​of the transformer primary current, and i'2 represents the second set of instantaneous sampled values ​​of the transformer secondary current.

[0062] In an optional implementation, the unified processing in step S1 can also be achieved by adding a data caching and time synchronization processing module at the sampling end to temporarily store and timestamp the primary current, secondary voltage, and secondary current collected by the transformer, and then aligning the time of the multi-channel data during the unified processing to ensure the timing consistency between electrical quantities, thereby avoiding analysis deviations caused by sampling delays.

[0063] In another optional implementation, the unified sorting in step S1 can also be achieved by introducing a combination of hardware filtering and software filtering in the filtering stage. For example, an analog low-pass filter circuit can be set at the output of the transformer to suppress high-frequency noise first, and then combined with digital filtering methods to further smooth the acquired signal, so as to achieve double purification of data before input and improve the stability of subsequent parameter calculation.

[0064] In this embodiment of the application, step S2 involves performing parameter calculations based on the standardized processing results, and deriving the calculated parameters characterizing the winding state by combining phasor relationships, including:

[0065] B1: Perform calculations on the processed data and introduce phasor relationships during the calculation process;

[0066] B2: Based on the phasor relationship, a formulaic derivation is performed to obtain the parameter results characterizing the winding state.

[0067] It should be noted that by introducing phasor relationships into the standardized electrical quantity data for calculation, the proper phase characteristics between current and voltage can be maintained. The filtered current signal retains sinusoidal characteristics, and its derivative operation yields a waveform with a 90° phase lag. The voltage signal, after correction calculation, also retains sinusoidal characteristics, and the two can be accurately correlated under phasor representation. Based on this correlation, the formula derivation can yield the value of the secondary inductance, which can then be compared with the factory reference value. Compared with the traditional low-voltage short-circuit impedance method, this avoids indirect judgment based solely on impedance results, instead directly using inductance as a quantitative indicator for analysis. This scheme can be implemented while the equipment is energized, without requiring power outages or disassembly for testing, ensuring the continuity of data sources and the immediacy of results. It provides a clear basis for judging whether the winding has deformed, while improving the reliability and practicality of the judgment.

[0068] Specifically, B1 to B2 include calculating the reciprocal of the current and correcting the voltage value. Because the filtered current and voltage are still sinusoidal quantities, their reciprocals are also sinusoidal (90° phase difference). Therefore, to improve the accuracy of the inductance calculation, the phasor values ​​of the current derivative and the corrected voltage are obtained. When the value of i1i2′-i2i1′ (with the same symbol meaning as above) is greater than the threshold (to overcome calculation errors, for example, greater than 0.01 is sufficient), the secondary inductance is calculated from the phasor value.

[0069] In an optional implementation, the parameter calculation in step S2 can also be improved by adding amplitude stability discrimination based on the current derivative calculation, constraining the amplitude range of the calculated current derivative waveform, and performing phasor calculation only after the waveform enters the stable range, thereby avoiding interference caused by unstable filtering in the initial sampling stage and improving the reliability of inductance value derivation.

[0070] In another optional implementation, the parameter calculation in step S2 can also be corrected by introducing the mutual inductance term compensation in the correction voltage calculation process, and introducing the rate of change of the primary current into the secondary voltage formula. This makes the correction voltage not only reflect the secondary self-inductance and leakage inductance characteristics, but also compensate for the mutual inductance effect, so that the calculated secondary inductance value is closer to the winding characteristics under actual operating conditions.

[0071] In this embodiment of the application, step S2 involves calculating the processed data information and introducing phasor relationships during the calculation process, including: calculating the current derivative, correcting the voltage value, and since the filtered current and voltage are still sinusoidal quantities, their reciprocals are also sinusoidal, thus the phasor values ​​of the current derivative and the modified voltage are calculated; for example... Figure 3 As shown, the original waveforms of the voltage and current on the secondary side of the transformer are displayed, where yellow represents the secondary voltage waveform and red represents the current waveform.

[0072] The derivative of the current is expressed as:

[0073]

[0074] Among them, i n i represents the current sample value at the nth discrete time step; n-1 T represents the current sample value at the (n-1)th discrete time step; s The sampling interval is the time interval between two adjacent sampling moments in a discrete sequence; w represents the angular frequency, which satisfies the relationship w = 2πf with the electrical frequency f of the signal, and the unit is radians per second (rad / s). It is the differential of the current i;

[0075] The corrected voltage value is calculated as follows:

[0076]

[0077] Among them, u n This represents the voltage sample value at the nth discrete moment; u n-1 This represents the voltage sample value at the (n-1)th discrete time step; u 2n This represents the corrected instantaneous voltage value;

[0078] After processing the sampled voltage signal, the corrected voltage is obtained as follows: Figure 4 As shown.

[0079] In an optional implementation, the phasor relationship introduced in step S2 can also be achieved through steady-state interval screening and integer phasor construction: First, the filtered data is screened for steady-state segments according to the threshold conditions described in the document, and sample intervals whose amplitudes meet the threshold requirements are selected first; the number of sample points containing integer electrical cycles is calculated according to the relationship between angular frequency and sampling interval, so that the derivative current and the correction voltage are constructed in the same time window to ensure phase consistency and dimension uniformity; the phasor values ​​of the derivative current and the correction voltage are obtained respectively in the integer window, and then the obtained phasors are used to solve the secondary inductance in the subsequent formula relationship.

[0080] In another optional implementation, the phasor relationship introduced in step S2 can also be achieved through phase angle difference extraction and consistency verification: based on the characteristics that the filtered voltage and derivative current are still sinusoidal, and the phase difference between the derivative and the intrinsic quantity is 90°, the phase angle difference between the corrected voltage and derivative current phasors is first calculated and used as the criterion for the validity of the window; when the phase angle difference deviates from the expected range, it is judged as an interference or mismatch window and discarded, and only the effective segment with the required angle difference is retained for inductance derivation; the effective segment is frequency consistent with the relationship between the angular frequency and the sampling interval to ensure that the data segment used for phasor calculation is consistent with the power frequency, thereby reducing the influence of frequency deviation on the phasor angle and amplitude; for the phasor results that pass the verification, the secondary inductance is calculated according to the given relationship.

[0081] In this embodiment of the application, step S3 compares the obtained parameters with the reference parameters, determines the difference range through threshold judgment, determines the winding deformation, and outputs the judgment result, including:

[0082] C1: Compare the obtained parameter results with the preset benchmark parameters;

[0083] C2: Introduce a threshold condition to determine the range of differences based on the threshold condition;

[0084] C3: Determine the winding deformation based on the difference range.

[0085] It should be noted that by comparing the calculated secondary inductance value with the factory-set reference inductance value one by one, a clear difference can be formed under different operating conditions, avoiding deviations caused by relying solely on a single test point. Introducing a threshold condition during the comparison process, the calculated difference value is quantitatively compared with a preset threshold, allowing for a reasonable definition of the difference range under fluctuating operating conditions or limited sampling accuracy, thus ensuring the uniformity and stability of the judgment standard. Based on this, the judgment made according to the difference range can clearly distinguish whether the winding is in a normal state or has undergone deformation. Combined with the filtered and stabilized data results, continuous diagnosis can be achieved under actual equipment operating conditions, ensuring that the judgment process is not disturbed by instantaneous fluctuations. The test can be completed without power interruption or disassembly, meeting the needs of on-site power equipment operation.

[0086] Specifically, C1 to C3, ignoring the transformer resistance, are calculated according to the transformer secondary voltage formula, expressed as:

[0087]

[0088] Where u2 represents the instantaneous value of the transformer secondary voltage; L2 represents the self-inductance coefficient of the transformer secondary winding, in Henry (H); L σ2i1 represents the leakage inductance coefficient of the transformer secondary winding; i2 represents the instantaneous value of the transformer secondary current, which is a dynamic current that changes with time, measured in amperes (A), and its rate of change. Induced voltage is generated through self-inductance and mutual inductance; M represents the mutual inductance coefficient between the primary and secondary coils of the transformer; This represents the rate of change of the primary current in a transformer;

[0089] Based on two different electrical quantity data, the secondary inductance is calculated using the following formula, expressed as:

[0090]

[0091] The calculated L2+L σ2 Inductance value such as Figure 5 As shown; the first part is due to unstable filtering, hence the fluctuations, while the latter part is stable.

[0092] In an optional implementation, the determination of the difference range by threshold judgment in step S3 can also be achieved by introducing multiple sampling averaging. Specifically, the secondary inductance values ​​calculated multiple times under different operating times or different load conditions are compared with the factory reference inductance value one by one. Then, the average or median value of the multiple difference results is statistically analyzed, and the statistical value is compared with the threshold condition. When the statistical result exceeds the set threshold, it is determined that the winding has deformed. By using multiple data statistics, misjudgments caused by initial fluctuations in filtering or interference from a single sampling can be avoided, making the determination of the difference range more stable.

[0093] In another optional implementation, the determination of the difference range by threshold judgment in step S3 can also be achieved by combining it with the operating condition correction method. Specifically, when comparing the inductance parameter with the reference value, considering that the transformer may be affected by the operation under different load levels, ambient temperature or power fluctuation conditions, the operating condition correction coefficient is introduced in the threshold setting process. For example, the threshold is appropriately relaxed under high load conditions and a stricter threshold is used under light load conditions to ensure that the determination of the difference range can adapt to various operating environments. In this way, the accuracy of the determination under complex operating conditions can be improved and the accumulation of errors caused by changes in operating conditions can be avoided.

[0094] In this embodiment of the application, a threshold condition is introduced in step S3 to determine the difference range based on the threshold condition, including: comparing the obtained parameter result with a preset reference parameter and calculating the difference value; when the difference value is greater than the set threshold, it is determined to be a winding deformation situation; when the difference value is less than or equal to the set threshold, it is determined to be a winding deformation situation.

[0095] In an alternative implementation, the threshold condition introduced in step S3 can also be dynamically adjusted by combining different load levels of the operating conditions. For example, different threshold ranges can be set under light load, rated and overload conditions. When comparing the difference value, the corresponding threshold is called according to the current load level, thereby avoiding misjudgment caused by a single threshold under different operating conditions.

[0096] In another optional implementation, the threshold condition introduced in step S3 can also be achieved by performing a moving average on the historical sampling data, statistically analyzing the results of multiple differences within a certain time period, and then comparing the statistical values ​​with the set threshold, so as to reduce the impact of a single sampling anomaly on the judgment result and improve the stability of the judgment process.

[0097] In summary, this invention ensures standardized data input during transformer operation by sampling, collecting, and uniformly organizing electrical quantities during operation. By performing parameter calculations on the organized data and deriving them using phasor relationships, core parameters characterizing the winding inductance are obtained. By comparing the calculation results with factory reference parameters and introducing threshold conditions to determine the difference range, the invention enables the determination of whether winding deformation has occurred. This invention can complete detection without power interruption, avoiding the limitations of traditional low-voltage short-circuit impedance methods that require shutdown testing. It ensures online, real-time diagnosis under actual operating conditions, improving detection reliability and power grid operation safety.

[0098] Example 3: The above is a schematic scheme of a time-domain online detection method for transformer winding deformation based on secondary inductance.

[0099] This embodiment also provides an electronic device applicable to the time-domain online detection of transformer winding deformation based on secondary inductance, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the time-domain online detection method for transformer winding deformation based on secondary inductance as proposed in the above embodiment.

[0100] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a time-domain online detection method for transformer winding deformation based on secondary inductance, as proposed in the above embodiments.

[0101] The storage medium proposed in this embodiment and the time-domain online detection method for transformer winding deformation based on secondary inductance proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0102] Based on the above description of the implementation methods, those skilled in the art will clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0103] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A time-domain online detection method for transformer winding deformation based on secondary inductance, characterized in that, include: Electrical quantities during operation are sampled and collected, and the collected data is organized in a unified manner to obtain standardized processing results; Based on the standardized processing results after unified organization, parameter calculations are performed, and derivations are made in conjunction with phasor relationships to obtain the calculation parameters characterizing the winding state. The obtained parameters are compared with the reference parameters, the difference range is determined by the threshold judgment, the winding deformation is determined, and the judgment result is output.

2. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 1, characterized in that, The sampling and collection of electrical quantities during operation, and the unified processing of the collected raw data, include: Relevant data information is collected using current transformers; The collected data is filtered and calculated.

3. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 2, characterized in that, The calculation of execution parameters, and the derivation based on phasor relationships, includes: The processed data is then used to perform calculations, and phasor relationships are introduced during the calculation process. Based on phasor relationships, a formulaic derivation is performed to obtain parameter results characterizing the winding state.

4. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 3, characterized in that, The step of determining the difference range and judging the winding deformation by judging the threshold includes: Compare the obtained parameter results with the preset benchmark parameters; A threshold condition is introduced, and the range of difference is determined based on the threshold condition; The determination of winding deformation is based on the range of differences.

5. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 4, characterized in that, The collected data includes: The primary current, secondary voltage, and secondary current of the transformer are collected using voltage transformers and current transformers.

6. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 5, characterized in that, The calculation of the processed data, and the introduction of phasor relationships in the calculation process, includes: Calculate the current derivative, correct the voltage value. The filtered current and voltage are still sinusoidal quantities, and their reciprocals are also sinusoidal. Then, find the phasor value of the current derivative and the modified voltage.

7. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 6, characterized in that, The calculated current derivative is expressed as: Among them, i n i represents the current sample value at the nth discrete time step; n-1 T represents the current sample value at the (n-1)th discrete time step; s Indicates the sampling interval; w represents the angular frequency; The corrected voltage value is calculated as follows: Among them, u n This represents the voltage sample value at the nth discrete moment; u n-1 This represents the voltage sample value at the (n-1)th discrete time step; u 2n This represents the corrected instantaneous voltage value.

8. The time-domain online detection method for transformer winding deformation based on secondary inductance as described in claim 7, characterized in that, The introduction of a threshold condition, and the determination of the difference range based on the threshold condition, includes: The obtained parameter results are compared with the preset benchmark parameters, and the difference value is calculated; When the difference value is greater than the set threshold, it is determined to be a winding deformation situation; When the difference value is less than or equal to the set threshold, it is determined that the winding has not deformed.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the time-domain online detection method for transformer winding deformation based on secondary inductance, as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the time-domain online detection method for transformer winding deformation based on secondary inductance, as described in any one of claims 1 to 8.

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