Simulation method for relevance regulation of dry-type transformer

Abstract

The application discloses a simulation method for regulating and controlling relevance of a dry-type transformer, and relates to the technical field of transformer testing. The method comprises the following steps: determining target components according to the components of the dry-type transformer, and constructing a corresponding simulation structure; obtaining hardware parameter items and operation parameter items related to each target component, and associating the hardware parameter items and the operation parameter items with corresponding target components in the simulation structure; collecting real-time operation data of each target component during transformer operation, and determining hardware relevance between each target component and parameter relevance between each parameter item based on the real-time operation data; and importing the determined hardware relevance and parameter relevance into the simulation structure for simulation, so as to determine parameter critical points of each target component, and facilitate better control of operation data of the transformer during actual operation of the transformer, thereby prolonging the service life of the transformer.

Description

Technical Field

[0001] This invention relates to the field of transformer testing technology, specifically to a simulation method for the influence of correlation control on dry-type transformers. Background Technology

[0002] Dry-type transformers, as key equipment in power systems, are widely used in high-rise buildings, airports, subways, and other locations with high fire protection requirements. Their operating performance is affected by a variety of factors, making simulation of the effects of correlation control crucial. With the development of smart grids, the demand for precise control of dry-type transformers is increasing, but the lack of effective simulation methods for correlation control makes it difficult to fully understand the coupling mechanisms of various factors under different operating conditions, thus hindering precise control.

[0003] Under different operating parameters, the temperature of components will change differently, and abnormal component temperatures will affect the operating performance of the equipment. How to find the parameter abrupt change point that causes abnormal temperature changes by analyzing the influence of operating parameters on temperature, and thus measure the adaptive operating parameters of each component in the transformer, so as to avoid the transformer from operating under abnormal parameters in advance and improve the service life of the transformer, is a problem we need to solve. To this end, we now provide a simulation method for the correlation control effect of dry-type transformers. Summary of the Invention

[0004] The purpose of this invention is to provide a simulation method for the correlation control effects of dry-type transformers.

[0005] The objective of this invention can be achieved through the following technical solution: a simulation method for the correlation control effect of dry-type transformers, comprising:

[0006] The target components are determined based on the components of the dry-type transformer, and the corresponding simulation structure is constructed.

[0007] Obtain the hardware and operating parameters of each target component and associate them with the corresponding target components within the simulation structure;

[0008] Collect real-time operating data of each target component during transformer operation, and determine the hardware correlation between each target component and the parameter correlation between each parameter item based on the real-time operating data;

[0009] The determined hardware and parameter correlations are imported into the simulation structure for simulation to determine the parameter abrupt change points of each target component.

[0010] Furthermore, the components that make up the dry-type transformer are obtained, and the components to be simulated are selected as target components as needed.

[0011] Based on each target component, a corresponding simulation structure is created in the simulation software. Then, based on the circuit connection relationship of each target component, the simulation structure is connected accordingly to obtain the simulation structure of the dry-type transformer.

[0012] Furthermore, the hardware parameters include electrical parameters and temperature parameters. The electrical parameters include: rated voltage, rated current, no-load loss, and load loss; the temperature parameters include: winding hot spot temperature.

[0013] The operating parameters include input voltage, input current, output voltage, output current, and hardware temperature.

[0014] Furthermore, the real-time operating data includes input voltage, input current, output voltage, output current, and temperature;

[0015] A corresponding time coordinate system is constructed for each target component. Based on the obtained real-time operating data, corresponding data change curves are generated in the time coordinate system, namely the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve.

[0016] Furthermore, the process of determining the hardware correlation between various target components based on real-time operational data includes:

[0017] Use any target component as a reference component, and mark other target components that have a direct circuit connection with the reference component.

[0018] If the target component is connected to the input terminal of the reference component, the target component is recorded as the upper-level component; if it is connected to the output terminal of the reference component, the target component is recorded as the lower-level component.

[0019] Based on the circuit connection relationship between the upper-level components, lower-level components and reference components, the hardware correlation between the upper-level components, lower-level components and reference components is determined, and the corresponding hardware correlation coefficient is obtained. When the circuit connection relationship is parallel, the hardware correlation is parallel hardware; when the circuit connection relationship is series, the hardware correlation is series hardware.

[0020] Furthermore, the process of establishing parameter relationships between various parameter items includes:

[0021] Based on the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve of the reference component;

[0022] Several sampling points are randomly generated on the horizontal axis of the time coordinate system, and the input voltage, input current, output voltage, output current, and temperature corresponding to each sampling point are obtained;

[0023] By comparing adjacent sampling points, several sets of input voltage difference, input current difference, output voltage difference, output current difference, and temperature change values ​​are obtained, and the corresponding set of sampling parameter changes is obtained by summarizing them.

[0024] Based on the input voltage difference, input current difference, output voltage difference, output current difference k, and temperature change value within the sampled parameter change set;

[0025] The input voltage-temperature correlation coefficient, input current-temperature correlation coefficient, output voltage-temperature correlation coefficient, and output current-temperature correlation coefficient were obtained respectively.

[0026] Furthermore, the determined hardware and parameter correlations are imported into the simulation structure for simulation, and the process of determining the parameter abrupt change points of each target component is as follows:

[0027] A corresponding simulation data set is generated for the dry-type transformer, the simulation data set including simulation input voltage, simulation input current, simulation output voltage, and simulation output current;

[0028] The simulation structure is simulated based on the simulation data set to obtain the simulation data set of each target component. The simulation data set includes the simulation input voltage, simulation input current, simulation output voltage, and simulation output current.

[0029] The corresponding simulated temperature is obtained based on the simulated data set and the corresponding correlation coefficients. Specifically, the simulated input voltage, simulated input current, simulated output voltage, and simulated output current, along with their corresponding correlation coefficients, are used to obtain the corresponding simulated temperature, and the corresponding simulated temperature change curves are generated.

[0030] The obtained simulated temperature is compared with the corresponding winding hot spot temperature;

[0031] When the simulated temperature reaches the hot spot temperature of the winding, the simulation is paused, and the slope of the generated simulated temperature change curve at each position is obtained. The position where the maximum slope is located is recorded as the first parameter abrupt change point.

[0032] After obtaining the first parameter excitation point, the simulation continues. When any of the simulated input voltage, simulated input current, simulated output voltage, and simulated output current reaches the corresponding rated voltage and rated current, the simulation stops. The slope of the simulated temperature change curve at each position from when the temperature reaches the winding hot spot temperature to when the simulation stops is recorded, and the corresponding position is recorded as the second parameter excitation point.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] By acquiring real-time operating data of each target component within the dry-type transformer, and based on the obtained real-time operating data, the hardware correlation between the target components and the parameter correlation between each parameter item are obtained. This supports subsequent simulation of the simulation structure, obtains the simulation data generated by the dry-type transformer under the simulation data set, and thus obtains the parameter abrupt change points of each target component. This facilitates better control of the transformer's operating data during actual operation, thereby extending the transformer's service life. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0036] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0037] like Figure 1 As shown, the simulation method for the correlation control effect of dry-type transformers includes:

[0038] The target components are determined based on the components of the dry-type transformer, and the corresponding simulation structure is constructed.

[0039] Obtain the hardware and operating parameters of each target component and associate them with the corresponding target components within the simulation structure;

[0040] Collect real-time operating data of each target component during transformer operation, and determine the hardware correlation between each target component and the parameter correlation between each parameter item based on the real-time operating data;

[0041] The determined hardware and parameter correlations are imported into the simulation structure for simulation to determine the parameter abrupt change points of each target component.

[0042] It should be further explained that, in the specific implementation process, each component of the dry-type transformer is obtained, and the component to be simulated is selected as the target component as needed.

[0043] Based on the simulation of each target component, a corresponding simulation structure is created in the simulation software. Then, based on the circuit connection relationship of each target component, the simulation structure is connected accordingly to obtain the simulation structure of the dry-type transformer. It should be noted that the simulation software is usually ANSYS software, but other simulation software can also be selected according to actual needs.

[0044] It should be further explained that, in the specific implementation process, the process of obtaining the parameters involved in each target component and associating them with the corresponding simulation structure within the simulation structure includes:

[0045] Create corresponding parameter items for the simulation structure corresponding to each target component; among them, hardware parameter items include electrical parameter items and temperature parameter items. Electrical parameter items include: rated voltage, rated current, no-load loss and load loss; temperature parameter items include: winding hot spot temperature;

[0046] The operating parameters include input voltage, input current, output voltage, output current, and hardware temperature;

[0047] The set running parameters and hardware parameters are associated with the corresponding simulation structures within the simulation structure to form a set of parameters corresponding to each simulation structure.

[0048] It should be further explained that, in the specific implementation process, the process of collecting real-time operating data of various target components during transformer operation includes:

[0049] Install corresponding data acquisition terminals on each target component inside the transformer, and obtain real-time operating data of each target component through the data acquisition terminals;

[0050] The real-time operating data includes input voltage, input current, output voltage, output current, and temperature;

[0051] A corresponding time coordinate system is constructed for each target component. Based on the obtained real-time operating data, corresponding data change curves are generated in the time coordinate system, namely the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve.

[0052] It should be further explained that, in the specific implementation process, the process of determining the hardware correlation between various target components based on real-time operational data includes:

[0053] Use any target component as a reference component, and mark other target components that have a direct circuit connection with the reference component.

[0054] If the target component is connected to the input terminal of the reference component, the target component is recorded as the upper-level component; if it is connected to the output terminal of the reference component, the target component is recorded as the lower-level component.

[0055] Based on the circuit connection relationships between the upper-level components, lower-level components, and reference components, the hardware correlation between the upper-level components, lower-level components, and reference components is determined, and the corresponding hardware correlation coefficients are obtained. It should be noted that the circuit connection relationships include parallel relationships and series relationships. When the circuit connection relationship is parallel, the hardware correlation is parallel hardware; when the circuit connection relationship is series, the hardware correlation is series hardware.

[0056] It should be further explained that, in the specific implementation process, when the hardware association between the reference component and its corresponding upper-level component is parallel hardware:

[0057] Each higher-level component of the hardware with parallel hardware association is labeled and denoted as i, where i = 1, 2, ..., n;

[0058] The output current corresponding to the upper-level component labeled i is then denoted as SI. coui ;

[0059] The hardware correlation coefficient between the reference component and the upper-level component labeled i is denoted as YSG. i ,in:

[0060] YSG i =SI coui / (SI cou1 +SI cou2 +SI cou3 +……+SI coun );

[0061] On the other hand, when the hardware association between the reference component and the corresponding upper-level component is serial, the hardware association coefficient is 1.

[0062] Similarly, the lower-level components of hardware with parallel hardware correlation are labeled and denoted as j, where j = 1, 2, ..., m;

[0063] The input current corresponding to the lower-level component labeled j is then denoted as SI. cinj ;

[0064] The hardware correlation coefficient between the reference component and the lower-level component labeled j is denoted as YXG. j ,in:

[0065] YXG j =SI cinj / (SI cin1 +SI cin2 +SI cin3 +……+SI cinn );

[0066] On the other hand, when the hardware association between the reference component and its corresponding subordinate component is serial, the hardware association coefficient is 1.

[0067] It should be further explained that, in the specific implementation process, the process of establishing the parameter relationships between various parameter items includes:

[0068] Based on the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve of the reference component;

[0069] Several sampling points are randomly generated on the horizontal axis of the time coordinate system, and the input voltage, input current, output voltage, output current, and temperature corresponding to each sampling point are obtained;

[0070] By comparing adjacent sampling points, several sets of input voltage difference, input current difference, output voltage difference, output current difference, and temperature change values ​​are obtained, and the corresponding set of sampling parameter changes is obtained by summarizing them.

[0071] Each set of changes in the sampling parameters is labeled and denoted as k, where k = 1, 2, ..., s;

[0072] The input voltage difference within the set of sampling parameter changes labeled k is denoted as Us. k Input current difference Is k Output voltage difference Ur k Output current difference Ir k Temperature change value W k ;

[0073] Then the input voltage-temperature correlation coefficient C(Us) is obtained respectively. k W k ), Input current-temperature correlation coefficient C(Is) k W k Output voltage-temperature correlation coefficient C(Ur) k W k Output current-temperature correlation coefficient C(Ir) k W k ),in:

[0074]

[0075] in, This is the average of the input voltage differences. The average of the input current differences. The average value of the output voltage difference. This is the average of the output current differences. This represents the average value of temperature change.

[0076] It should be further explained that, in the specific implementation process, the determined hardware correlations and parameter correlations are imported into the simulation structure for simulation to determine the parameter abrupt change points of each target component. The specific process is as follows:

[0077] A corresponding simulation data set is generated for the dry-type transformer, the simulation data set including simulation input voltage, simulation input current, simulation output voltage, and simulation output current;

[0078] The simulation structure is simulated based on the simulation data set to obtain the simulation data set of each target component. The simulation data set includes the simulation input voltage, simulation input current, simulation output voltage, and simulation output current.

[0079] The corresponding simulated temperature is obtained based on the simulated data set and the corresponding correlation coefficients. Specifically, the simulated input voltage, simulated input current, simulated output voltage, and simulated output current, along with their respective correlation coefficients, are used to obtain the corresponding simulated temperature. The maximum value of the obtained simulated temperature is taken as the final simulated temperature, and a corresponding simulated temperature change curve is generated.

[0080] It should be noted that after importing the hardware correlation and parameter correlation into the simulation structure in ANSYS software, a simulation data set is generated. Since the simulation input voltage and simulation input current in the simulation data set are continuous data, the obtained simulation output voltage, simulation output current and temperature are also continuous data.

[0081] The obtained simulated temperature is compared with the corresponding winding hot spot temperature;

[0082] When the simulated temperature reaches the winding hot spot temperature, the simulation is paused, and the slope of each position of the generated simulated temperature change curve is obtained. The position where the maximum slope is located is recorded as the first parameter abrupt change point, and the simulated input voltage, simulated input current, simulated output voltage and simulated output current corresponding to the first parameter abrupt change point are obtained.

[0083] After obtaining the first parameter excitation point, continue the simulation. When any parameter of the simulated input voltage, simulated input current, simulated output voltage, and simulated output current reaches the corresponding rated voltage and rated current, stop the simulation and calculate the slope of the simulated temperature change curve at each position from when the temperature reaches the winding hot spot temperature to when the simulation stops. Record the corresponding position as the second parameter excitation point.

[0084] It should be noted that the first parameter abrupt change only affects the target component itself, while the second parameter abrupt change also affects other target components that have a hierarchical relationship with the target component. The degree of influence depends on the corresponding hardware correlation coefficient.

[0085] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications or equivalent substitutions made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A simulation method for the correlation-based control effects of dry-type transformers, characterized in that, include: The target components are determined based on the components of the dry-type transformer, and the corresponding simulation structure is constructed. Obtain the hardware and operating parameters of each target component and associate them with the corresponding target components within the simulation structure; Collect real-time operating data of each target component during transformer operation, and determine the hardware correlation between each target component and the parameter correlation between each parameter item based on the real-time operating data; The determined hardware and parameter correlations are imported into the simulation structure for simulation to determine the parameter abrupt change points of each target component. The process is as follows: A corresponding simulation data set is generated for the dry-type transformer, the simulation data set including simulation input voltage, simulation input current, simulation output voltage, and simulation output current; The simulation structure is simulated based on the simulation data set to obtain the simulation data set of each target component. The simulation data set includes the simulation input voltage, simulation input current, simulation output voltage, and simulation output current. The corresponding simulated temperature is obtained based on the simulated data set and the corresponding correlation coefficients. Specifically, the simulated input voltage, simulated input current, simulated output voltage, and simulated output current, along with their corresponding correlation coefficients, are used to obtain the corresponding simulated temperature, and the corresponding simulated temperature change curves are generated. The obtained simulated temperature is compared with the corresponding winding hot spot temperature; When the simulated temperature reaches the hot spot temperature of the winding, the simulation is paused, and the slope of the generated simulated temperature change curve at each position is obtained. The position where the maximum slope is located is recorded as the first parameter abrupt change point. After obtaining the first parameter excitation point, the simulation continues. When any of the simulated input voltage, simulated input current, simulated output voltage, and simulated output current reaches the corresponding rated voltage and rated current, the simulation stops. The slope of the simulated temperature change curve at each position from when the temperature reaches the winding hot spot temperature to when the simulation stops is recorded, and the corresponding position is recorded as the second parameter excitation point.

2. The simulation method for the correlation control effect of dry-type transformers according to claim 1, characterized in that, Obtain the components that make up the dry-type transformer, and select the components to be simulated as target components as needed; Based on each target component, a corresponding simulation structure is created in the simulation software. Then, based on the circuit connection relationship of each target component, the simulation structure is connected accordingly to obtain the simulation structure of the dry-type transformer.

3. The simulation method for the correlation control effect of dry-type transformers according to claim 2, characterized in that, The hardware parameters include electrical parameters and temperature parameters. The electrical parameters include: rated voltage, rated current, no-load loss, and load loss; the temperature parameters include: winding hot spot temperature. The operating parameters include input voltage, input current, output voltage, output current, and hardware temperature.

4. The simulation method for the correlation control effect of dry-type transformers according to claim 3, characterized in that, The real-time operating data includes input voltage, input current, output voltage, output current, and temperature; A corresponding time coordinate system is constructed for each target component. Based on the obtained real-time operating data, corresponding data change curves are generated in the time coordinate system, namely the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve.

5. The simulation method for the correlation control effect of dry-type transformers according to claim 4, characterized in that, The process of determining the hardware correlation between various target components based on real-time operational data includes: Use any target component as a reference component, and mark other target components that have a direct circuit connection with the reference component. If the target component is connected to the input terminal of the reference component, the target component is recorded as the upper-level component; if it is connected to the output terminal of the reference component, the target component is recorded as the lower-level component. Based on the circuit connection relationship between the upper-level components, lower-level components and reference components, the hardware correlation between the upper-level components, lower-level components and reference components is determined, and the corresponding hardware correlation coefficient is obtained. When the circuit connection relationship is parallel, the hardware correlation is parallel hardware; when the circuit connection relationship is series, the hardware correlation is series hardware.

6. The simulation method for the correlation control effect of dry-type transformers according to claim 5, characterized in that, The process of establishing parameter relationships between various parameter items includes: Based on the input voltage change curve, input current change curve, output voltage change curve, output current change curve, and temperature change curve of the reference component; Several sampling points are randomly generated on the horizontal axis of the time coordinate system, and the input voltage, input current, output voltage, output current, and temperature corresponding to each sampling point are obtained; By comparing adjacent sampling points, several sets of input voltage difference, input current difference, output voltage difference, output current difference, and temperature change values ​​are obtained, and the corresponding set of sampling parameter changes is obtained by summarizing them. Based on the input voltage difference, input current difference, output voltage difference, output current difference k, and temperature change value within the sampled parameter change set; The input voltage-temperature correlation coefficient, input current-temperature correlation coefficient, output voltage-temperature correlation coefficient, and output current-temperature correlation coefficient were obtained respectively.

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