Method and device for monitoring thermal condition of transformer winding, equipment and storage medium

Abstract

The embodiment of the application discloses a transformer winding heat condition monitoring method and device, equipment and a storage medium, the method comprises the following steps: collecting port harmonic data of the transformer in real time; performing harmonic analysis and resistance calculation according to the port harmonic data, obtaining harmonic component data and harmonic resistance; performing simulation operation based on a thermal characteristic simulation model of the transformer, obtaining a thermal characteristic coefficient of the transformer; performing temperature calculation according to the harmonic component data, the harmonic resistance and the thermal characteristic coefficient, obtaining real-time hotspot temperature of the transformer winding; determining whether the transformer winding is normal based on the real-time hotspot temperature. The application obtains the real-time hotspot temperature of the transformer winding by analyzing the port harmonic data of the transformer, on the one hand, realizes real-time monitoring of the internal heat condition of the transformer winding more simply, and on the other hand, can find the winding fault in time, so as to avoid damage of the equipment and even occurrence of accidents.

Description

Technical Field

[0001] This invention relates to the field of transformer technology, and in particular to methods, devices, equipment and storage media for monitoring the thermal condition of transformer windings. Background Technology

[0002] Transformers are fundamental equipment for power transmission and distribution, widely used in industry, agriculture, transportation, urban communities and other fields. They play a very important role in the power grid. If a transformer fails, it will have a significant impact on the safe operation of the power grid. Therefore, the health status of transformers is a key focus.

[0003] There are many reasons why transformers may fail, such as circuit faults, winding faults, and transformer oil leaks. Among these, winding faults have a significant impact on transformers, and in severe cases, can lead to equipment damage or even accidents. However, there is currently no effective method to monitor winding faults in order to prevent equipment damage or accidents. Summary of the Invention

[0004] Therefore, it is necessary to propose methods, devices, equipment, and storage media for monitoring the thermal condition of transformer windings to address the above-mentioned problems, so as to achieve real-time monitoring of the thermal condition of transformer windings and avoid equipment damage or even accidents.

[0005] To achieve the above objectives, the first aspect of this application provides a method for monitoring the thermal condition of a transformer winding, the method comprising:

[0006] Real-time acquisition of transformer port harmonic data;

[0007] Harmonic analysis and resistance calculation are performed based on the port harmonic data to obtain harmonic component data and harmonic resistance.

[0008] The thermal characteristic coefficients of the transformer were obtained by performing a simulation based on the thermal characteristic simulation model of the transformer.

[0009] The real-time hot spot temperature of the transformer winding is obtained by calculating the temperature based on the harmonic component data, the harmonic resistance and the thermal characteristic coefficient.

[0010] The transformer windings are determined to be normal based on the real-time hotspot temperature.

[0011] Furthermore, the step of performing harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance specifically includes:

[0012] Fourier transform is performed on the port harmonic data to obtain harmonic component data, which includes the frequency and amplitude of each harmonic component.

[0013] The resistance is calculated based on the harmonic component data to obtain the harmonic resistance of each harmonic component.

[0014] Furthermore, the port harmonic data includes at least harmonic current data and harmonic voltage data, and the harmonic resistance is calculated using the following formula:

[0015] R h (f)=V h (f) / I h (f)

[0016] In the formula R h (f) is the harmonic resistance at frequency f, V h (f) represents the voltage amplitude of the h-th harmonic component, I h (f) represents the current amplitude of the h-th harmonic component.

[0017] Furthermore, the real-time hot spot temperature of the transformer winding is calculated using the following formula:

[0018]

[0019] In the formula, T0 is the real-time hot spot temperature of the transformer winding, m is the highest harmonic component, and I... h (f) represents the current amplitude of the h-th harmonic component, R h (f) is the harmonic resistance at frequency f, C is the heat capacity, and k is the thermal characteristic coefficient.

[0020] Furthermore, the simulation operation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficients of the transformer specifically includes:

[0021] A thermal characteristic simulation model is constructed based on the component parameters, capacity, and geometric dimensions of the transformer.

[0022] The simulation was performed based on the thermal characteristic simulation model to obtain the rated hot spot temperature of the transformer winding when running at full power, and the target port harmonic data when the transformer runs to the rated hot spot temperature.

[0023] The thermal characteristic coefficient of the transformer is obtained by fitting the hot spot temperature based on the rated hot spot temperature and the target port harmonic data.

[0024] Furthermore, the step of fitting the hot spot temperature based on the rated hot spot temperature and the target port harmonic data to obtain the thermal characteristic coefficient of the transformer specifically includes:

[0025] Harmonic analysis and resistance calculation are performed on the target port harmonic data to obtain target harmonic component data and target harmonic resistance;

[0026] The thermal characteristic coefficient of the transformer is obtained by fitting the hot spot temperature based on the target harmonic component data, the target harmonic resistance, and the rated hot spot temperature.

[0027] Furthermore, determining whether the transformer winding is normal based on the real-time hotspot temperature specifically includes:

[0028] The real-time hot spot temperature is compared with the rated hot spot temperature. When the real-time hot spot temperature is greater than the rated hot spot temperature, it is determined that the transformer winding is in a risky operating state.

[0029] When the real-time hot spot temperature is not greater than the rated hot spot temperature, the transformer winding is determined to be in normal operating condition.

[0030] To achieve the above objectives, a second aspect of this application provides a monitoring device for the thermal condition of a transformer winding, the device comprising: a data acquisition unit, a resistance calculation unit, a simulation unit, and a thermal condition judgment unit;

[0031] The data acquisition unit is used to acquire the port harmonic data of the transformer in real time;

[0032] The resistance calculation unit is used to perform harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance.

[0033] The simulation unit is used to perform simulation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficient of the transformer.

[0034] The thermal condition judgment unit is used to calculate the temperature based on the harmonic component data, the harmonic resistance and the thermal characteristic coefficient, and obtain the real-time hot spot temperature of the transformer winding.

[0035] The transformer windings are determined to be normal based on the real-time hotspot temperature.

[0036] To achieve the above objectives, a third aspect of this application provides a computer-readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, the processor performs the steps of the method described in the first aspect.

[0037] To achieve the above objectives, a fourth aspect of this application provides a computer device including a memory and a processor, characterized in that the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method described in the first aspect.

[0038] The embodiments of the present invention have the following beneficial effects:

[0039] This application discloses a method for monitoring the thermal condition of transformer windings. The method includes: real-time acquisition of port harmonic data of the transformer; harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance; simulation operation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficient of the transformer; temperature calculation based on the harmonic component data, harmonic resistance and thermal characteristic coefficient to obtain the real-time hot spot temperature of the transformer winding; and determining whether the transformer winding is normal based on the real-time hot spot temperature. This application obtains the real-time hot spot temperature of the transformer winding by analyzing the port harmonic data of the transformer. On the one hand, it enables simpler real-time monitoring of the internal thermal condition of the transformer winding; on the other hand, it can detect winding faults in a timely manner to avoid equipment damage or even accidents. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. 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.

[0041] in:

[0042] Figure 1 This is a flowchart illustrating a method for monitoring the thermal condition of transformer windings according to an embodiment of this application.

[0043] Figure 2 This is a schematic diagram of the structure of the monitoring device for the thermal condition of the transformer windings in an embodiment of this application;

[0044] Figure 3 This is a diagram showing the internal structure of a computer device in an embodiment of this application. Detailed Implementation

[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0046] Traditional monitoring systems rely heavily on measuring parameters such as temperature, current, and voltage to determine the operating status of transformers. However, these measurements cannot accurately reflect certain transformer problems. For example, the internal thermal condition of the transformer windings cannot be directly measured. Overheating within the windings can damage the equipment or even cause accidents. Therefore, without accurate real-time information on the internal thermal condition of the transformer windings, fault information cannot be promptly detected, potentially leading to accidents. To address this issue, this application provides a method for monitoring the thermal condition of transformer windings. Please refer to [link to relevant documentation]. Figure 1 , Figure 1 This is a flowchart illustrating a method for monitoring the thermal condition of transformer windings according to an embodiment of this application, specifically including:

[0047] Step 110: Real-time acquisition of port harmonic data of the transformer.

[0048] To enable real-time monitoring of the transformer's operating status, embodiments of this application connect measuring devices to the transformer's input and output ports to collect port harmonic data in real time. These measuring devices can be electrical signal sensors or other measuring equipment used to acquire port harmonic data.

[0049] Step 120: Perform harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance.

[0050] In this embodiment, an oscilloscope, spectrum analyzer, or computer can be used to perform harmonic analysis on the acquired port harmonic data to determine information such as harmonic frequency, phase, and amplitude. Furthermore, resistance can be calculated based on the information obtained from the harmonic analysis of the port harmonic data to obtain the harmonic resistance.

[0051] Step 130: Perform a simulation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficients of the transformer.

[0052] This application embodiment simulates a transformer to obtain a simulation model that accurately reflects the transformer's thermal characteristics. Based on this thermal characteristic simulation model, a simulation operation is performed to obtain operational data. The thermal characteristic coefficient of the transformer is then calculated based on this operational data. This thermal characteristic coefficient reflects the relationship between the transformer's port harmonic data and the internal hot spot temperature of the winding. Furthermore, the operation of obtaining the transformer's thermal characteristic coefficient in step 130 can be performed before, after, or simultaneously with steps 110 or 120; no specific limitation is made here. However, it is understood that to improve the speed and efficiency of monitoring the transformer winding's thermal condition, the transformer can be simulated before step 110 to obtain the transformer's thermal characteristic coefficient, thereby increasing the speed of obtaining the real-time hot spot temperature of the transformer winding.

[0053] Step 140: Calculate the temperature based on harmonic component data, harmonic resistance, and thermal characteristic coefficient to obtain the real-time hot spot temperature of the transformer winding; determine whether the transformer winding is normal based on the real-time hot spot temperature.

[0054] After obtaining the thermal characteristic coefficients of the transformer, temperature can be calculated based on harmonic resistance and harmonic component data to obtain the real-time hot spot temperature of the transformer windings. The real-time hot spot temperature of the transformer windings can be used to determine the real-time operating status of the transformer windings. If any abnormality occurs, appropriate measures can be taken promptly to prevent faults or accidents.

[0055] This application embodiment obtains the harmonic resistance based on the port harmonic data of the transformer, and calculates the real-time hot spot temperature inside the transformer winding based on the port harmonic data, harmonic resistance, and thermal characteristic coefficient, so as to achieve the purpose of monitoring the internal thermal condition of the transformer winding. On the one hand, this method can more easily monitor the internal thermal condition of the transformer winding in real time, and on the other hand, it can detect winding faults in time to avoid equipment damage or even accidents.

[0056] In this embodiment, the port harmonic data includes at least harmonic current data and harmonic voltage data. Therefore, a current sensor and a voltage measuring device can be used to collect the harmonic current and voltage data in the circuit. The harmonic current data includes each harmonic component of the current, and the harmonic voltage data includes each harmonic component of the voltage. Each harmonic component encompasses its fundamental frequency and corresponding harmonic elements. Therefore, each harmonic component in the harmonic current and harmonic voltage data can be analyzed separately to obtain information about each harmonic component.

[0057] To perform harmonic analysis on the port harmonic data, this embodiment employs Fourier transform technology. Specifically, step 120 involves performing harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance. This includes:

[0058] Step 1201: Perform Fourier transform on the port harmonic data to obtain harmonic component data, which includes the frequency and amplitude of each harmonic component.

[0059] Harmonics are a set of sine waves whose frequencies are integer multiples of each other. The fundamental wave is the sine wave in this set of harmonics that serves as the frequency reference. Assuming the reference frequency is *a*, the frequencies of the other sine waves are integer multiples of *a*, such as 2*a*, 3*a*, etc. Sine waves of different frequencies can be combined to form a non-sinusoidal periodic wave. These sine waves are called the harmonic components of the non-sinusoidal wave. The number of times the frequency of a harmonic component is a multiple of the fundamental wave is called its harmonic order. Its amplitude decreases as the harmonic order increases until it becomes infinitesimal. For example, a sine wave with a frequency of 3*a* is called the third harmonic.

[0060] In this embodiment, 50Hz is used as the reference frequency. The waveforms of the acquired harmonic current and voltage data are subjected to a short-time Fourier transform with 50Hz as the center frequency to obtain the frequency, amplitude, phase, and other related information of each harmonic component of the current and voltage. In this embodiment, the frequency and amplitude of all harmonic components constitute the harmonic component data.

[0061] Step 1202: Calculate the resistance based on the harmonic component data to obtain the harmonic resistance of each harmonic component.

[0062] After obtaining the harmonic component data containing information on current and voltage harmonic components, the resistance can be calculated based on the frequency and amplitude of each harmonic component to obtain the harmonic resistance of each harmonic component.

[0063] In a feasible embodiment of this application, the harmonic resistance is calculated using the following formula:

[0064] R h (f)=V h (f) / I h (f)

[0065] In the formula R h (f) is the harmonic resistance at frequency f, V h (f) represents the voltage amplitude of the h-th harmonic component, I h (f) represents the current amplitude of the h-th harmonic component. Where f = h * reference frequency, which is preset and is usually 50Hz; h is any value from 1 to m, where m is the highest harmonic.

[0066] After calculating the harmonic resistance at each frequency, the temperature is calculated based on the harmonic resistance at each frequency, the current amplitude of the harmonic components at the corresponding frequency, and the thermal characteristic coefficient of the transformer, thus obtaining the real-time hot spot temperature of the transformer winding.

[0067] In a feasible embodiment of this application, the real-time hot spot temperature of the transformer winding is calculated using the following formula:

[0068]

[0069] In the formula, T0 is the real-time hot spot temperature of the transformer winding, m is the highest harmonic component, and I... h (f) represents the current amplitude of the h-th harmonic component, R h (f) represents the harmonic resistance at frequency f, C represents the heat capacity, and k represents the thermal characteristic coefficient.

[0070] This application also proposes an effective method for obtaining the thermal characteristic coefficient of a transformer. Specifically, step 130 involves performing a simulation based on a transformer's thermal characteristic simulation model to obtain the transformer's thermal characteristic coefficient. This includes:

[0071] Step 1301: Construct a thermal characteristic simulation model based on the transformer's component parameters, capacity, and geometric dimensions.

[0072] First, data such as the transformer's material parameters, volume, and geometric dimensions are obtained. Taking an oil-immersed transformer as an example, the material parameters include at least the core, windings, and tank. After obtaining the relevant data, a thermal characteristic simulation model adapted to the transformer is established based on the transformer's component parameters, capacity, and geometric dimensions.

[0073] Step 1302: Perform simulation based on the thermal characteristic simulation model to obtain the rated hot spot temperature of the transformer winding when running at full power, and the target port harmonic data when the transformer reaches the rated hot spot temperature.

[0074] After constructing a simulation model of the transformer's thermal characteristics, simulation software can be used to run the model. This software can simulate the transformer's transition from normal to high-risk operation, thus obtaining a temperature distribution image of the transformer from normal to high-risk operation. Therefore, based on this temperature distribution image, the critical hotspot temperature (i.e., the rated hotspot temperature) of the transformer under high-risk operation at full power can be obtained. Furthermore, the port harmonic data of the transformer at this rated hotspot temperature, i.e., the target harmonic data, can also be acquired.

[0075] Step 1303: Fit the hot spot temperature based on the rated hot spot temperature and the target port harmonic data to obtain the thermal characteristic coefficient of the transformer.

[0076] Specifically, based on the rated hot spot temperature and target port harmonic data obtained from step 1302, hot spot temperature fitting can be performed to obtain the thermal characteristic coefficient that includes the relationship between the transformer's port harmonic data and the winding's internal temperature.

[0077] In one embodiment of this application, step 1303, fitting the hot spot temperature based on the rated hot spot temperature and the target port harmonic data to obtain the thermal characteristic coefficient of the transformer, specifically includes:

[0078] A. Perform harmonic analysis and resistance calculation on the target port harmonic data to obtain the target harmonic component data and target harmonic resistance.

[0079] B. Based on the target harmonic component data, target harmonic resistance, and rated hot spot temperature, hot spot temperature fitting is performed to obtain the thermal characteristic coefficient of the transformer.

[0080] Specifically, the target port harmonic data includes target harmonic current data and target harmonic voltage data. In this embodiment, 50Hz is used as the reference frequency. Using an oscilloscope, spectrum analyzer, or computer, the waveforms of the acquired target harmonic current and voltage data are subjected to a short-time Fourier transform with 50Hz as the center frequency to obtain the frequency, amplitude, and phase information of each target harmonic component of the current and voltage. In this embodiment, the frequencies and amplitudes of all target harmonic components constitute the target harmonic component data. After obtaining the target harmonic component data containing the target harmonic component information of the current and voltage, resistance calculations can be performed based on the frequency and amplitude of each target harmonic component to obtain the target harmonic resistance of each target harmonic component.

[0081] After calculating the target harmonic resistance at each frequency, the thermal characteristic coefficient of the transformer winding is obtained by fitting the hot spot temperature based on the target harmonic resistance at each frequency, the current amplitude of the harmonic components at the corresponding frequency, and the rated hot spot temperature of the transformer under full power operation. This allows for the calculation of the real-time hot spot temperature based on the transformer's thermal characteristic coefficient.

[0082] Optionally, the thermal characteristic coefficient can be obtained using the following formula:

[0083]

[0084] In the formula, k is the thermal characteristic coefficient, m is the highest harmonic component, and I h (f) represents the current amplitude of the h-th harmonic component, R h (f) represents the harmonic resistance at frequency f, T represents the rated hot spot temperature of the transformer winding, and C represents the heat capacity.

[0085] The thermal characteristic coefficient obtained by the above method can more accurately reflect the relationship between the hot spot temperature of the transformer winding and the harmonic data of the transformer port. Therefore, the real-time hot spot temperature of the transformer winding calculated based on the thermal characteristic coefficient is closer to the actual temperature, making the result of judging the operating status of the transformer winding based on the real-time hot spot temperature more accurate and effective.

[0086] One embodiment of this application also proposes a method for determining the state of a transformer winding, namely step 140, which determines whether the transformer winding is normal based on real-time hot spot temperature, specifically including:

[0087] Step 1401: Compare the real-time hot spot temperature with the rated hot spot temperature. When the real-time hot spot temperature is greater than the rated hot spot temperature, determine that the transformer winding is in a risky operating state.

[0088] Step 1402: When the real-time hot spot temperature is not greater than the rated hot spot temperature, it is determined that the transformer winding is in normal operating condition.

[0089] Specifically, when the real-time hot spot temperature exceeds the rated hot spot temperature, it indicates that the temperature inside the transformer winding is too high, which may indicate a fault or a fault has already occurred. To prevent further deterioration, timely measures must be taken to avoid equipment damage or accidents.

[0090] This application also discloses a device for monitoring the thermal condition of transformer windings. Please refer to [link to relevant documentation]. Figure 2 , Figure 2 This is a structural block diagram of a transformer winding thermal condition monitoring device according to an embodiment of this application. The device includes: a data acquisition unit 201, a resistance calculation unit 202, a simulation unit 203, and a thermal condition judgment unit 204.

[0091] The data acquisition unit 201 is used to acquire the port harmonic data of the transformer in real time.

[0092] The resistance calculation unit 202 is used to perform harmonic analysis and resistance calculation based on port harmonic data to obtain harmonic component data and harmonic resistance.

[0093] Simulation unit 203 is used to perform simulation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficient of the transformer.

[0094] The thermal condition judgment unit 204 is used to calculate the temperature based on harmonic component data, harmonic resistance and thermal characteristic coefficient to obtain the real-time hot spot temperature of the transformer winding.

[0095] Determine whether the transformer windings are functioning properly based on real-time hotspot temperatures.

[0096] The transformer winding thermal monitoring device proposed in this application, after obtaining the thermal characteristic coefficient of the transformer, can calculate the real-time hot spot temperature of the transformer winding based on harmonic resistance and harmonic component data. The real-time hot spot temperature of the transformer winding can be used to determine the real-time operating status of the transformer winding. If an abnormality occurs, corresponding measures can be taken in a timely manner to avoid faults or accidents.

[0097] In one feasible embodiment, the resistance calculation unit 201 can also be used to perform Fourier transform based on port harmonic data to obtain harmonic component data, the harmonic component data including the frequency and amplitude of each harmonic component; calculate the resistance based on the harmonic component data to obtain the harmonic resistance of each harmonic component.

[0098] In one feasible embodiment, the resistance calculation unit 201 can also be used to calculate the harmonic resistance using the following formula:

[0099] R h (f)=V h (f) / I h (f)

[0100] In the formula R h (f) is the harmonic resistance at frequency f, V h (f) represents the voltage amplitude of the h-th harmonic component, I h (f) represents the current amplitude of the h-th harmonic component.

[0101] In one feasible embodiment, the thermal condition determination unit 204 can also be used to calculate the real-time hot spot temperature of the transformer winding using the following formula:

[0102]

[0103] In the formula, T0 is the real-time hot spot temperature of the transformer winding, m is the highest harmonic component, and I... h (f) represents the current amplitude of the h-th harmonic component, R h (f) represents the harmonic resistance at frequency f, C represents the heat capacity, and k represents the thermal characteristic coefficient.

[0104] In one feasible embodiment, the simulation unit 203 is further configured to construct a thermal characteristic simulation model based on the component parameters, capacity, and geometry of the transformer; perform simulation operation based on the thermal characteristic simulation model to obtain the rated hot spot temperature of the transformer windings when operating at full power, and the target port harmonic data when the transformer operates at the rated hot spot temperature; and perform hot spot temperature fitting based on the rated hot spot temperature and the target port harmonic data to obtain the thermal characteristic coefficient of the transformer.

[0105] In one feasible embodiment, the simulation unit 203 is also used to perform harmonic analysis and resistance calculation on the target port harmonic data to obtain target harmonic component data and target harmonic resistance; and to perform hot spot temperature fitting based on the target harmonic component data, target harmonic resistance and rated hot spot temperature to obtain the thermal characteristic coefficient of the transformer.

[0106] The thermal characteristic coefficient obtained by simulation unit 203 can more accurately reflect the relationship between the hot spot temperature of the transformer winding and the harmonic data of the transformer port. Therefore, the real-time hot spot temperature of the transformer winding calculated based on the thermal characteristic coefficient is closer to the actual temperature, making the result of judging the operating status of the transformer winding based on the real-time hot spot temperature more accurate and effective.

[0107] In one feasible embodiment, the thermal condition judgment unit 204 is further configured to compare the real-time hot spot temperature with the rated hot spot temperature. When the real-time hot spot temperature is greater than the rated hot spot temperature, it is determined that the transformer winding is in a risky operating state; when the real-time hot spot temperature is not greater than the rated hot spot temperature, it is determined that the transformer winding is in a normal operating state.

[0108] Figure 3 An internal structural diagram of a computer device according to one embodiment of the present invention is shown. This computer device can specifically be a terminal or a system. Figure 3 As shown, the computer device includes a processor, memory, and network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program causes the processor to perform the steps in the above-described method embodiments. The internal memory may also store a computer program, which, when executed by the processor, causes the processor to perform the steps in the above-described method embodiments. Those skilled in the art will understand that... Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0109] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps in the above method embodiments.

[0110] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, causes the processor to perform the steps in the above method embodiments.

[0111] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0112] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0113] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for monitoring the thermal condition of transformer windings, characterized in that, The method includes: Real-time acquisition of transformer port harmonic data; Harmonic analysis and resistance calculation are performed based on the port harmonic data to obtain harmonic component data and harmonic resistance. The thermal characteristic coefficients of the transformer were obtained by performing a simulation based on the thermal characteristic simulation model of the transformer. The real-time hot spot temperature of the transformer winding is obtained by calculating the temperature based on the harmonic component data, the harmonic resistance and the thermal characteristic coefficient. The transformer windings are determined to be normal based on the real-time hotspot temperature.

2. The method according to claim 1, characterized in that, The step of performing harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance specifically includes: Fourier transform is performed on the port harmonic data to obtain harmonic component data, which includes the frequency and amplitude of each harmonic component. The resistance is calculated based on the harmonic component data to obtain the harmonic resistance of each harmonic component.

3. The method according to claim 2, characterized in that, The port harmonic data includes at least harmonic current data and harmonic voltage data. The harmonic resistance is then calculated using the following formula: R h (f)=V h (f) / I h (f) In the formula R h (f) is the harmonic resistance at frequency f, V h (f) represents the voltage amplitude of the h-th harmonic component, I h (f) represents the current amplitude of the h-th harmonic component.

4. The method according to claim 2, characterized in that, The real-time hot spot temperature of the transformer winding is calculated using the following formula: In the formula, T0 is the real-time hot spot temperature of the transformer winding, m is the highest harmonic component, and I... h (f) represents the current amplitude of the h-th harmonic component, R h (f) is the harmonic resistance at frequency f, C is the heat capacity, and k is the thermal characteristic coefficient.

5. The method according to claim 1, characterized in that, The simulation operation based on the thermal characteristic simulation model of the transformer is used to obtain the thermal characteristic coefficient of the transformer, specifically including: A thermal characteristic simulation model is constructed based on the component parameters, capacity, and geometric dimensions of the transformer. The simulation was performed based on the thermal characteristic simulation model to obtain the rated hot spot temperature of the transformer winding when running at full power, and the target port harmonic data when the transformer runs to the rated hot spot temperature. The thermal characteristic coefficient of the transformer is obtained by fitting the hot spot temperature based on the rated hot spot temperature and the target port harmonic data.

6. The method according to claim 5, characterized in that, The step of fitting the hot spot temperature based on the rated hot spot temperature and the target port harmonic data to obtain the thermal characteristic coefficient of the transformer specifically includes: Harmonic analysis and resistance calculation are performed on the target port harmonic data to obtain target harmonic component data and target harmonic resistance; The thermal characteristic coefficient of the transformer is obtained by fitting the hot spot temperature based on the target harmonic component data, the target harmonic resistance, and the rated hot spot temperature.

7. The method according to claim 5, characterized in that, The step of determining whether the transformer winding is normal based on the real-time hotspot temperature specifically includes: The real-time hot spot temperature is compared with the rated hot spot temperature. When the real-time hot spot temperature is greater than the rated hot spot temperature, it is determined that the transformer winding is in a risky operating state. When the real-time hot spot temperature is not greater than the rated hot spot temperature, the transformer winding is determined to be in normal operating condition.

8. A device for monitoring the thermal condition of transformer windings, characterized in that, The device includes: a data acquisition unit, a resistance calculation unit, a simulation unit, and a thermal condition judgment unit; The data acquisition unit is used to acquire the port harmonic data of the transformer in real time; The resistance calculation unit is used to perform harmonic analysis and resistance calculation based on the port harmonic data to obtain harmonic component data and harmonic resistance. The simulation unit is used to perform simulation based on the thermal characteristic simulation model of the transformer to obtain the thermal characteristic coefficient of the transformer. The thermal condition judgment unit is used to calculate the temperature based on the harmonic component data, the harmonic resistance and the thermal characteristic coefficient, and obtain the real-time hot spot temperature of the transformer winding. The transformer windings are determined to be normal based on the real-time hotspot temperature.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the processor to perform the steps of the method as described in any one of claims 1 to 7.

10. A computer device, comprising a memory and a processor, characterized in that, The memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the method as described in any one of claims 1 to 7.

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