Transformer winding state diagnosis method using parameter transformation and related equipment

Abstract

The embodiment of the invention discloses a transformer winding state diagnosis method using parameter transformation and related equipment, and the method comprises the steps: injecting high-frequency voltage signals with different frequencies into a transformer through a capacitor voltage transformer, and obtaining a response voltage signal outputted by the transformer; drawing a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; according to the frequency response curve, obtaining a plurality of resonant frequency points between the capacitor voltage transformer and the transformer, and a resonant voltage value corresponding to each resonant frequency point; and the winding state of the transformer is diagnosed according to the resonant frequency point and the resonant voltage value, whether the winding of the online operation transformer has a fault can be identified, and the transformer does not need to be changed into an offline state, so that real-time operation state information of the transformer is provided, and the requirements of a modern power grid on real-time monitoring and quick response are met.

Description

[Technical field]

[0001] The invention relates to the technical field of transformer winding fault diagnosis, and in particular to a transformer winding state diagnosis method using parameter transformation and related equipment. [Background technology]

[0002] In the power system, the transformer is not only the core equipment, but also the key to the quality of power supply and system stability. With the continuous expansion of the scale of the power grid and the growing demand for electricity, the health of the transformer has a significant impact on the safe operation of the entire power grid. Once a transformer winding fails, it may cause overvoltage and overcurrent, causing the transformer temperature to rise rapidly, the insulation to be damaged, and even cause the transformer to catch fire, directly leading to large-scale power outages. In addition, transformer winding failures may also cause serious consequences such as local overheating, winding deformation, and even fire, which will seriously affect the safety and stability of the power system. Traditional transformer winding status monitoring methods mainly rely on regular offline detection. These methods are not only time-consuming and labor-intensive, but also unable to provide real-time operating status information, and it is difficult to meet the needs of modern power grids for real-time monitoring and rapid response. [Summary of the invention]

[0003] In view of this, the present invention provides a transformer winding state diagnosis method and related equipment using parameter transformation.

[0004] The specific technical solution of the first embodiment of the present invention is: a transformer winding state diagnosis method using parameter transformation, the method comprising: injecting high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; drawing a frequency response curve between the response voltage signal and the frequency based on the high-frequency voltage signal and the response voltage signal; obtaining multiple resonant frequency points between the capacitive voltage transformer and the transformer and the resonant voltage value corresponding to each resonant frequency point based on the frequency response curve; and diagnosing the winding state of the transformer based on the resonant frequency points and the resonant voltage values.

[0005] Preferably, the diagnosing the winding state of the transformer according to the resonant frequency point and the resonant voltage value includes: obtaining a winding resonance efficiency index of the transformer and a winding resonance characteristic index of the transformer according to the resonant frequency point and the resonant voltage value; the winding resonance characteristic index is used to characterize the sensitivity of the transformer to resonance phenomenon; obtaining a health quantification index of the transformer according to the winding resonance efficiency index and the winding resonance characteristic index; the health quantification index is used to characterize the performance of the transformer during operation; and obtaining the winding state of the transformer according to the health quantification index and a preset threshold.

[0006] Preferably, the step of obtaining the winding resonance efficiency index of the transformer and the winding resonance characteristic index of the transformer according to the resonant frequency point and the resonant voltage value includes: obtaining the winding resonance efficiency index and the winding resonance characteristic index according to the resonant voltage value of each resonant frequency point, the resonant frequency value of each resonant frequency point and the number of resonant frequency points.

[0007] Preferably, the winding resonance efficiency index is obtained using the following formula:

[0008]

[0009] Among them, AR cl is the winding resonance efficiency index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

[0010] Preferably, the winding resonance characteristic index is obtained using the following formula:

[0011]

[0012] Among them, BR cl is the winding resonance characteristic index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

[0013] Preferably, the health quantification index is obtained using the following formula:

[0014]

[0015] Among them, τ is the health quantification index, AR cl is the winding resonance performance index, BR cl is the winding resonance characteristic index.

[0016] Preferably, the winding status of the transformer is obtained according to the health quantification indicator and the preset threshold, including: when the health quantification indicator is less than the preset threshold, the transformer has no winding fault; when the health quantification indicator is greater than or equal to the preset threshold, the transformer has a winding fault.

[0017] The specific technical solution of the second embodiment of the present invention is: a transformer winding state diagnosis system using parameter transformation, the system comprising: a response voltage acquisition module, a frequency response curve acquisition module, a resonant frequency acquisition module and a winding fault diagnosis module; the response voltage acquisition module is used to inject high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; the frequency response curve acquisition module is used to draw a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; the resonant frequency acquisition module is used to obtain multiple resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and the resonant voltage value corresponding to each resonant frequency point; the winding fault diagnosis module is used to diagnose the winding state of the transformer according to the resonant frequency point and the resonant voltage value.

[0018] The specific technical solution of the third embodiment of the present invention is: a transformer winding state diagnostic device using parameter transformation, including a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application.

[0019] The specific technical solution of the fourth embodiment of the present invention is: a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to perform the steps of the method described in any one of the first embodiments of the present application.

[0020] Implementing the embodiments of the present invention will have the following beneficial effects:

[0021] The present invention injects high-frequency voltage signals of different frequencies into a transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; draws a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; obtains multiple resonant frequency points between the capacitive voltage transformer and the transformer, and a resonant voltage value corresponding to each resonant frequency point according to the frequency response curve; diagnoses the winding state of the transformer according to the resonant frequency points and the resonant voltage values, and can identify whether a fault occurs in the winding of an online transformer without changing the transformer to an offline state, thereby providing real-time operating state information of the transformer and meeting the requirements of modern power grids for real-time monitoring and rapid response.

Brief Description of the Drawings

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0023] Figure 1 A flowchart of the steps of a transformer winding state diagnosis method using parameter transformation;

[0024] Figure 2 It is a structural diagram of the transformer winding status online diagnosis test platform;

[0025] Figure 3 It is a schematic diagram of the structure of the transformer winding state diagnosis system using parameter transformation;

[0026] Figure 4 A diagram of the internal structure of a computer device;

[0027] Among them, 201, host computer; 202, digital signal generator; 203, capacitive voltage transformer; 204, high-voltage bushing; 205, output bushing; 206, data acquisition device; 207, transformer box; 208, iron core; 209, low-voltage winding; 210, high-voltage winding; 211, AC power supply; 212, conversion switch; 2101, first grounding device; 2102, second grounding device; 2103, third grounding device; 2201, first resistor; 2202, second resistor; 2301, first inductor; 2302, second inductor; 301, response voltage acquisition module; 302, frequency response curve acquisition module; 303, resonant frequency acquisition module; 304, winding fault diagnosis module. [Specific implementation method]

[0028] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0029] The terms "first", "second", etc. in the specification, claims and drawings of this application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally includes steps or modules that are not listed, or optionally includes other steps or modules that are inherent to these processes, methods, products or devices.

[0030] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0031] See also Figure 1 , is a flowchart of a transformer winding state diagnosis method using parameter transformation in the first embodiment of the present application, thereby providing real-time transformer operation state information, the method comprising:

[0032] Step 101: injecting high-frequency voltage signals of different frequencies into a transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer;

[0033] Step 102: Draw a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal;

[0034] Step 103: acquiring a plurality of resonant frequency points between the capacitive voltage transformer and the transformer and a resonant voltage value corresponding to each resonant frequency point according to the frequency response curve;

[0035] Step 104: diagnose the winding state of the transformer according to the resonant frequency point and the resonant voltage value.

[0036] Specifically, a transformer winding state online diagnosis test platform using parameter transformation is constructed. The structural schematic diagram of the transformer winding state online diagnosis test platform is as follows: Figure 2Specifically, the transformer winding state online diagnosis test platform comprises: a host computer (201), a digital signal generator (202), a capacitor voltage transformer (203), a high-voltage bushing (204), an output bushing (205), a data acquisition device (206), a transformer box (207), an iron core (208), a low-voltage winding (209), a high-voltage winding (210), an AC power supply (211), a conversion switch (212), a first grounding device (2101), a second grounding device (2102), a third grounding device (2103), a first resistor (2201), a second resistor (2202), a first inductor (2301), and a second inductor (2302); the host computer (201) is connected to the digital signal generator (202), the digital signal generator (202) is connected to the capacitor voltage transformer (203), the capacitor voltage transformer (203) is connected to the conversion switch (212), and the converter (212) is connected to the capacitor voltage transformer (203). The switch (212) is connected to the high-voltage bushing (204), the high-voltage bushing (204) is connected to the first resistor (2201), the first inductor (2301), the AC power supply (211) and the first grounding device (2101); the output bushing (205) is connected to the data acquisition device (206), the data acquisition device (206) is connected to the host computer (201), the output bushing (205) is connected to the second resistor (2202), the second inductor (2302 ) is connected to a second grounding device (2102); the iron core (208), the low voltage winding (209), and the high voltage winding (210) are all placed in a transformer box (207), and the transformer box (207) is connected to a third grounding device (2103); the first resistor (2201), the first inductor (2301), the AC power supply (211), the second resistor (2202), and the second inductor (2302) are used to simulate the online operation of the transformer.

[0037] The host computer (201) sends a test high-frequency voltage setting signal to the digital signal generator (202), and the digital signal generator (202) injects the test high-frequency voltage signal into the high-voltage bushing (204) through the capacitive voltage transformer (203), collects the response voltage signal of the output bushing (205) through the data acquisition device (206), and transmits the data to the host computer (201) for analysis and processing; in order to make the circuit reach a resonant state, the capacitive voltage transformer (203) of different capacitance sizes is gradually changed through the conversion switch (212), and each time the capacitive voltage transformer (203) of different capacitance sizes is changed, the data acquisition device (206) records the response voltage signal and uploads it to the host computer (201) for storage, and the host computer (201) monitors the changes of the response voltage and the system frequency in real time. When the host computer (201) detects a significant change in the response voltage, it indicates that the circuit has reached a resonant state; the host computer (201) records the resonant frequency and the corresponding resonant voltage value at this time to obtain the resonant frequency point Qxx =(q1,q2,…q n ), and the resonant voltage value U corresponding to the resonant frequency point xx =(u1,u2,…u n );Diagnose the winding status of the transformer according to the resonant frequency point and the resonant voltage value.

[0038] Specifically, on the frequency response curve, find the points where the phase changes suddenly, which are the corresponding resonant frequency points. By changing parameters (such as capacitance value, inductance value, etc.), observing the changes in the frequency response curve, verify whether the identified resonant frequency point is correct.

[0039] The method in this embodiment injects high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; draws a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; obtains multiple resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and the resonant voltage value corresponding to each resonant frequency point; diagnoses the winding state of the transformer according to the resonant frequency point and the resonant voltage value, and can identify whether the winding of the online transformer fails without changing the transformer to an offline state, thereby providing real-time operating status information of the transformer to meet the needs of modern power grids for real-time monitoring and rapid response.

[0040] In a specific embodiment, the diagnosing the winding state of the transformer according to the resonant frequency point and the resonant voltage value includes: obtaining the winding resonance efficiency index of the transformer and the winding resonance characteristic index of the transformer according to the resonant frequency point and the resonant voltage value; the winding resonance characteristic index is used to characterize the sensitivity of the transformer to resonance phenomenon; obtaining a health quantification index of the transformer according to the winding resonance efficiency index and the winding resonance characteristic index; the health quantification index is used to characterize the performance of the transformer during operation; and obtaining the winding state of the transformer according to the health quantification index and a preset threshold.

[0041] Specifically, the transformer winding state characterization index is obtained according to the resonant frequency point and the resonant voltage value, the transformer winding state characterization index includes the winding resonance efficiency index and the winding resonance characteristic index, the transformer health quantification index is calculated according to the winding resonance efficiency index and the winding resonance characteristic index, and the transformer winding state is obtained based on the health quantification index and the preset threshold value. The preset threshold value is a constant related to the normal transformer model and parameters.

[0042] Specifically, the winding resonance performance index is usually related to the efficiency, loss and stability of the transformer in the resonant state. These indicators can reflect the utilization efficiency and conversion ability of the transformer to the input energy at a specific frequency, especially when it is close to or reaches its resonant frequency. Specifically, the winding resonance performance index may include:

[0043] 1. Resonance loss: It measures the energy loss of the transformer in the resonant state, including copper loss, iron loss, etc. The size of these losses directly affects the efficiency of the transformer.

[0044] 2. Stability: Evaluate the operating stability of the transformer under resonance, including voltage stability, current stability, etc. A transformer with good stability can maintain stable output under resonance conditions.

[0045] The winding resonance characteristic index describes more the electrical characteristics of the transformer under resonant conditions, such as the changes in parameters such as inductance, capacitance, and impedance. These characteristic indices can reveal the electrical behavior of the transformer under resonant conditions, thus helping to analyze and predict its response at different frequencies. Specifically, the winding resonance characteristic index may include:

[0046] 1. Changes in inductance value: reflects the changes in the inductance of the transformer under resonant state. Changes in inductance value may affect the voltage and current waveforms of the transformer, thereby affecting its performance.

[0047] 2. Changes in capacitance: When the transformer is in resonance, parasitic capacitance may be generated between its windings and between the windings and the ground. These changes in capacitance values ​​will also affect the electrical characteristics of the transformer.

[0048] 3. Impedance characteristics: describes the impedance change of the transformer under resonant state. Impedance characteristics are crucial to understanding the response of the transformer at different frequencies.

[0049] In a specific embodiment, the step of obtaining the winding resonance efficiency index of the transformer and the winding resonance characteristic index of the transformer according to the resonant frequency point and the resonant voltage value includes: obtaining the winding resonance efficiency index and the winding resonance characteristic index according to the resonant voltage value of each resonant frequency point, the resonant frequency value of each resonant frequency point and the number of resonant frequency points.

[0050] Specifically, the resonant frequency point and the resonant voltage value are important reflections of the transformer winding state. By accurately measuring these parameters, it is possible to directly understand whether the winding is deformed, loose or otherwise abnormal. Compared with traditional visual inspection or simple testing, the evaluation method based on the resonant frequency point and the resonant voltage value is more accurate. It is able to capture slight changes in the winding state, thereby avoiding misjudgment and missed judgment. By measuring the resonant frequency point and the resonant voltage value, the winding state can be evaluated without disassembling the transformer. This avoids equipment damage or extended downtime caused by disassembly. The non-destructive testing method does not cause any damage to the transformer, ensuring the safe operation of the equipment. At the same time, this method also reduces the risk of accidents that may occur during the detection process. The non-destructive testing method does not cause any damage to the transformer, ensuring the safe operation of the equipment. At the same time, this method also reduces the risk of accidents that may occur during the detection process.

[0051] In a specific embodiment, the winding resonance efficiency index is obtained using the following formula:

[0052]

[0053] Among them, AR cl is the winding resonance efficiency index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

[0054] In a specific embodiment, the winding resonance characteristic index is obtained using the following formula:

[0055]

[0056] Among them, BR cl is the winding resonance characteristic index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

[0057] In a specific embodiment, the health quantification index is obtained using the following formula:

[0058]

[0059] Among them, τ is the health quantification index, ARcl is the winding resonance performance index, BR cl is the winding resonance characteristic index.

[0060] In a specific embodiment, the winding status of the transformer is obtained according to the health quantification indicator and a preset threshold, including: when the health quantification indicator is less than the preset threshold, the transformer has no winding fault; when the health quantification indicator is greater than or equal to the preset threshold, the transformer has a winding fault.

[0061] Specifically, when τ is less than the preset threshold K d When τ is greater than or equal to the preset threshold value K d When the transformer winding fails, K d It is a constant related to the normal transformer model and parameters, including temperature, oil quality, insulation resistance, operating environment and other related factors. These indicators are interrelated and reflect the performance and reliability of the transformer. In actual operation, the results of these indicators should be comprehensively considered to make a comprehensive assessment and judgment on the health status of the transformer. At the same time, regular inspection and maintenance, and timely handling of detected problems are also important measures to ensure the health of the transformer.

[0062] In a specific embodiment, the transformer winding state intelligent diagnosis factor may be calculated according to the winding resonance efficiency index and the winding resonance characteristic index, and the transformer winding fault position may be obtained according to the transformer winding state intelligent diagnosis factor.

[0063] Specifically, the transformer winding state intelligent diagnosis factor ξ is obtained according to the following formula:

[0064]

[0065] When ξ<K e When K e ≤ξ<K r When ξ≥K r When the transformer winding fails, K e and K r It is a constant related to normal transformer model and parameters.

[0066] In the specific embodiments, see Figure 3, is a structural schematic diagram of a transformer winding state diagnosis system using parameter transformation provided in the second embodiment of the present application, the system comprising: a response voltage acquisition module 301, a frequency response curve acquisition module 302, a resonant frequency acquisition module 303 and a winding fault diagnosis module 304; the response voltage acquisition module 301 is used to inject high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; the frequency response curve acquisition module 302 is used to draw a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; the resonant frequency acquisition module 303 is used to obtain multiple resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and the resonant voltage value corresponding to each resonant frequency point; the winding fault diagnosis module 304 is used to diagnose the winding state of the transformer according to the resonant frequency points and the resonant voltage values.

[0067] The system in this embodiment injects high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; draws a frequency response curve between the response voltage signal and the frequency based on the high-frequency voltage signal and the response voltage signal; obtains multiple resonant frequency points between the capacitive voltage transformer and the transformer, and the resonant voltage value corresponding to each resonant frequency point based on the frequency response curve; diagnoses the winding state of the transformer based on the resonant frequency points and the resonant voltage values, and can identify whether a fault occurs in the winding of an online transformer without changing the transformer to an offline state, thereby providing real-time operating status information of the transformer and meeting the needs of modern power grids for real-time monitoring and rapid response.

[0068] In a specific embodiment, the third embodiment of the present application provides a transformer winding state diagnosis device using parameter transformation, including a memory and a processor, the memory storing a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method described in any one of the first embodiments of the present application. The device in this embodiment injects high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; draws a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; obtains multiple resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and the resonant voltage value corresponding to each resonant frequency point; diagnoses the winding state of the transformer according to the resonant frequency point and the resonant voltage value, and can identify whether the winding of the online transformer is faulty without changing the transformer to an offline state, thereby providing real-time operating status information of the transformer, meeting the needs of modern power grids for real-time monitoring and rapid response.

[0069] In a specific embodiment, the fourth embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the method described in any one of the first embodiments of the present application. The storage medium in this embodiment injects high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; a frequency response curve between the response voltage signal and the frequency is drawn according to the high-frequency voltage signal and the response voltage signal; a plurality of resonant frequency points between the capacitive voltage transformer and the transformer, and a resonant voltage value corresponding to each resonant frequency point are obtained according to the frequency response curve; the winding state of the transformer is diagnosed according to the resonant frequency point and the resonant voltage value, and it is possible to identify whether the winding of the online transformer is faulty without changing the transformer to an offline state, thereby providing real-time operating status information of the transformer, meeting the needs of modern power grids for real-time monitoring and rapid response.

[0070] Figure 4 The internal structure of a computer device in one embodiment is shown. The computer device can be a terminal or a server. Figure 4 The computer device includes a processor, a memory, etc. connected via a system bus. The memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. The internal memory may also store a computer program. When the computer program is executed by the processor, the processor can implement the method in this embodiment. Those skilled in the art can understand that Figure 4 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0071] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

[0072] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A transformer winding state diagnosis method using parameter transformation, characterized in that: The method comprises: Injecting high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; Draw a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; Acquire a plurality of resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and a resonant voltage value corresponding to each resonant frequency point; The winding state of the transformer is diagnosed according to the resonant frequency point and the resonant voltage value.

2. The transformer winding state diagnosis method using parameter transformation according to claim 1, characterized in that: The diagnosing the winding state of the transformer according to the resonant frequency point and the resonant voltage value includes: Obtaining a winding resonance efficiency index of the transformer and a winding resonance characteristic index of the transformer according to the resonance frequency point and the resonance voltage value; the winding resonance characteristic index is used to characterize the sensitivity of the transformer to resonance phenomenon; Obtaining a health quantification index of the transformer according to the winding resonance efficiency index and the winding resonance characteristic index; the health quantification index is used to characterize the performance of the transformer during operation; The winding state of the transformer is obtained according to the health quantification indicator and a preset threshold.

3. The transformer winding state diagnosis method using parameter transformation according to claim 2, characterized in that: The step of obtaining the winding resonance efficiency index of the transformer and the winding resonance characteristic index of the transformer according to the resonance frequency point and the resonance voltage value includes: The winding resonance efficiency index and the winding resonance characteristic index are obtained according to the resonance voltage value of each resonance frequency point, the resonance frequency value of each resonance frequency point and the number of resonance frequency points.

4. The transformer winding state diagnosis method using parameter transformation according to claim 3 is characterized in that: The winding resonance efficiency index is obtained by the following formula: Among them, AR cl is the winding resonance efficiency index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

5. The transformer winding state diagnosis method using parameter transformation according to claim 3, characterized in that: The winding resonance characteristic index is obtained using the following formula: Among them, BR cl is the winding resonance characteristic index, U xx_i is the resonant voltage value at the i-th resonant frequency point, Q xx_i is the resonant frequency value of the i-th resonant frequency point, U xx_j is the resonant voltage value at the jth resonant frequency point, Q xx_j is the resonant frequency value of the jth resonant frequency point, and n is the number of resonant frequency points.

6. The transformer winding state diagnosis method using parameter transformation according to claim 2, characterized in that: The health quantification index is obtained by the following formula: Among them, τ is the health quantification index, AR cl is the winding resonance performance index, BR cl is the winding resonance characteristic index.

7. The transformer winding state diagnosis method using parameter transformation according to claim 2, characterized in that: The step of obtaining the winding state of the transformer according to the health quantification indicator and a preset threshold value includes: When the health quantification indicator is less than the preset threshold, the transformer has no winding fault; When the health quantification indicator is greater than or equal to the preset threshold, a winding fault occurs in the transformer.

8. A transformer winding state diagnosis system using parameter transformation, characterized in that: The system comprises: a response voltage acquisition module, a frequency response curve acquisition module, a resonant frequency acquisition module and a winding fault diagnosis module; The response voltage acquisition module is used to inject high-frequency voltage signals of different frequencies into the transformer through a capacitive voltage transformer to obtain a response voltage signal output by the transformer; The frequency response curve acquisition module is used to draw a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; The resonant frequency acquisition module is used to acquire a plurality of resonant frequency points between the capacitive voltage transformer and the transformer according to the frequency response curve, and a resonant voltage value corresponding to each resonant frequency point; The winding fault diagnosis module is used to diagnose the winding state of the transformer according to the resonant frequency point and the resonant voltage value.

9. A transformer winding state diagnosis device using parameter transformation, comprising a memory and a processor, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to perform the steps of the method according to any one of claims 1 to 7.

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