Transformer state evaluation device, method and system and computer equipment

Abstract

The invention relates to the technical field of electrical equipment diagnosis and evaluation, in particular to a transformer state evaluation device, method and system and computer equipment. The device comprises a main control module which is used for generating an instruction to carry out transformer data acquisition, receiving the transformer data and carrying out calculation processing so as to evaluate the state of the transformer; the acquisition module is used for receiving the control signal sent by the main control module, performing data acquisition on the transformer, obtaining transformer data and sending the transformer data to the main control module; and the transformer module is provided with a transformer and a peripheral circuit in advance, and is used for simulating transient electric signals generated by the transformer in a working environment as data acquisition objects. Setting an acquisition frequency point through the main control module, thereby acquiring a transient electric signal of the transformer through the acquisition module, and further calculating a transient response characteristic curve of the transformer; and extracting characteristic parameters of the transient response characteristic curve, calculating a health impact factor, calculating a transformer state evaluation coefficient, and quantitatively evaluating the state of the transformer.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical equipment diagnosis and evaluation, and in particular to a transformer state evaluation device, method, system and computer equipment. Background Art

[0002] Transformers play a key role in the power transmission network. As a key node in the power transmission network, they are responsible for adjusting the power generated by power generation facilities to a voltage level suitable for long-distance transmission or local use, thereby assisting in distributing power from power generation nodes to multiple power load nodes while maintaining the stable operation of the power transmission network. Therefore, the stability of the transformer directly affects the voltage and current stability of the power system in which it is located.

[0003] As the main component of most transformers and one of the key components to complete the transformation process, the performance of the winding directly determines the performance and stability of the transformer. In order to prevent the aging or failure of the winding, it is necessary to conduct regular status assessment of the transformer, timely discover the potential faults and component problems of the transformer, and take maintenance measures.

[0004] Existing transformer equipment diagnostic evaluation or fault detection methods rely on inputting external excitation signals to the transformer to observe the transformer response to evaluate its status, including inputting adjustable high-frequency excitation signals or pulse signals to the transformer. Although this method can simulate the working environment of the transformer to a certain extent, the external signal itself interferes with the transformer, so that researchers can only indirectly evaluate the transformer's status through its performance under different external signals, and cannot directly measure the transformer's operating characteristics, which affects the timely discovery and elimination of potential faults and component problems of the transformer itself. Summary of the invention

[0005] The purpose of the present invention is to design a device and method for evaluating the state of a transformer without relying on an external excitation signal, thereby eliminating errors in transformer state evaluation caused by external factors to the greatest extent possible and improving the accuracy of diagnosing potential faults and component problems of the transformer itself.

[0006] In order to achieve the above object, the present invention provides a transformer state assessment device in a first aspect, comprising:

[0007] A main control module, used to generate instructions for transformer data collection, receive the transformer data for calculation and processing, and then evaluate the transformer status;

[0008] The acquisition module receives the control signal sent by the main control module, performs data acquisition on the transformer, obtains the transformer data and sends it to the main control module;

[0009] The transformer module is pre-installed with a transformer and its peripheral circuits, and is used to simulate the transient electrical signals generated by the transformer in the working environment as the data acquisition object.

[0010] The above-mentioned transformer state assessment device does not rely on external excitation signals input into the transformer to assess its state, but simulates the working environment of the transformer when it is configured in an actual power transmission network through a peripheral circuit, and observes the induced transient electrical signals generated by the transformer based on transient overvoltage fluctuations during normal operation of the peripheral circuit, thereby assessing the operating state of the transformer, which greatly reduces the interference of external factors on the transformer, reduces the error of transformer state assessment, and improves the accuracy of diagnosing potential faults and component problems of the transformer itself.

[0011] In a possible implementation, the main control module includes a PC control terminal, a first main control board, and a second main control board; the acquisition module includes a first acquisition device, a first protection resistor, a first current detector, a first voltage detector, a second voltage detector, a second current detector, a second protection resistor, and a second acquisition device; the transformer module includes a first peripheral circuit, a transformer, and a second peripheral circuit, wherein:

[0012] The PC control terminal generates instructions and sends them to the first main control board and the second main control board respectively;

[0013] Receiving the instruction generated by the PC control terminal, the first main control board sends a control signal to the first acquisition device, and the second main control board sends a control signal to the second acquisition device;

[0014] Receiving the control signal, the first acquisition device sequentially acquires a transient electrical signal on the primary winding of the transformer through a first protection resistor, a first current detector, and a first voltage detector;

[0015] Receiving the control signal, the second acquisition device sequentially acquires the transient electrical signal on the secondary winding of the transformer through a second protection resistor, a second current detector and a second voltage detector;

[0016] The first peripheral circuit is connected to the primary winding of the transformer, and the second peripheral circuit is connected to the secondary winding of the transformer. When the first peripheral circuit or the second peripheral circuit generates overvoltage or overcurrent, transient electrical signals are generated on the primary winding and the secondary winding of the transformer.

[0017] It should also be noted that the first peripheral circuit and the second peripheral circuit are peripheral equivalent circuits corresponding to various peripheral devices and circuits when the transformer is configured in the power grid, which are used to simulate the actual operating environment of the transformer in the power grid. In the working environment of the transformer in the power transmission network, the transformer peripheral devices and circuits are prone to transient overvoltage or overcurrent in the circuit due to lightning strikes or overvoltage events during daily operation, affecting the operation of the transformer. The first peripheral circuit and the second peripheral circuit are equivalent circuits of the power grid peripheral devices, which can simulate the working environment. When the peripheral circuit generates transient overvoltage or transient overcurrent due to unstable factors during operation, it will induce the transformer to generate an induced transient electrical signal.

[0018] A second aspect of the present invention provides a transformer state assessment method, which is implemented based on any transformer state assessment device of the first aspect, and includes:

[0019] Setting a number of acquisition frequency points through the main control module;

[0020] Based on a number of the acquisition frequency points, the transient electrical signal of the transformer is acquired through the acquisition module, wherein the transient electrical signal includes a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer;

[0021] Based on the plurality of acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2, a transient response characteristic curve P1 of the primary winding and a transient response characteristic curve P2 of the secondary winding are calculated;

[0022] Extracting characteristic parameters of P1 and P2 based on a number of the acquisition frequency points, and then calculating a health impact factor;

[0023] A transformer state assessment coefficient is calculated based on the health impact factor, and then the transformer state is quantitatively assessed according to the transformer state assessment coefficient.

[0024] The above-mentioned transformer state assessment method collects the transient electrical signal generated when the transformer senses the transient overvoltage fluctuation of the peripheral circuit, calculates the corresponding transformer transient response characteristic curve, and then fits the health impact factor according to the characteristic parameters extracted from the transient response characteristic curve, and finally obtains the state assessment coefficient for judging the current state of the transformer, thereby realizing quantitative assessment of the operating characteristics of the transformer in the working environment while minimizing the interference of external factors, reducing the error of the transformer state assessment, and comprehensively assessing its operating state based on multi-frequency point data through the changes in the induction signals of the windings on both sides of the transformer, thereby increasing the accuracy of the transformer state assessment, and facilitating the timely discovery and elimination of potential faults and component problems of the transformer itself.

[0025] In a possible implementation, the calculating of the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on the plurality of acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2 includes:

[0026] The frequency of the i-th acquisition frequency point is recorded as f i (i=1,2,...,N), f i The unit is Hz;

[0027] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i) is the current signal I2 collected at the i-th collection frequency point, in A, U 1(i) is the voltage signal U1 collected at the i-th collection frequency point, in V;

[0028] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, in A, U 2(i) is the voltage signal U2 collected at the i-th collection frequency point, in V.

[0029] Specifically, the fundamental amplitudes of the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2 at different acquisition frequency points i are obtained by Fourier decomposition and substituted as the reference amplitudes and Perform calculations.

[0030] In this implementation, by calculating the transient response characteristic curves of the primary and secondary windings of the transformer, the response characteristics of the transformer when facing transient events caused by peripheral circuits are quantitatively described, thereby being able to analyze the dynamic performance of the transformer and enhancing the comprehensiveness and accuracy of the transformer status assessment.

[0031] In a possible implementation, the extracting the characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points and then calculating the health impact factor includes:

[0032] Based on the frequency f of the i-th acquisition frequency point i (i=1,2,...,N), respectively extract the response characteristic value Y of the transient response characteristic curve P1 1(i)The response characteristic value Y of the transient response characteristic curve P2 2(i) ;

[0033] Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ;

[0034] Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2

[0035] Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y 2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as formula (1):

[0036]

[0037] In this implementation, the characteristic value of the transient response characteristic curve is introduced into the calculation formula of the health impact factor, so that the response characteristics of the transformer induced by transient changes in the peripheral circuit can be reflected in the health impact factor, and the phase difference of the voltage signal and the phase difference of the current signal in the transformer transient electrical signal are introduced into the calculation formula of the health impact factor, so that the electromagnetic coupling state between the transformer windings and the internal insulation condition of the transformer can be reflected in the health impact factor, thereby enhancing the comprehensiveness and accuracy of the transformer status assessment and improving the accuracy of diagnosing potential faults and component problems of the transformer itself.

[0038] In a possible implementation, it includes:

[0039] The experiment was repeated three times based on the preset time intervals to obtain three pairs of health impact factors, namely ψ 1a With ψ 2a , ψ 1b With ψ 2b , ψ 1c With ψ 2c ;

[0040] The transformer state assessment coefficient σ is calculated based on the three pairs of health impact factors, and its expression is formula (2):

[0041]

[0042] The transformer state is quantitatively evaluated according to the transformer state evaluation coefficient σ. If σ>0.68, it is considered that the transformer winding is in good state. If σ≤0.68, it is considered that the transformer winding has a fault.

[0043] Among them, 0.68 is the value obtained after comprehensive analysis of multiple transformer status assessment test results.

[0044] In this implementation, the three pairs of health impact factors collected from three experiments are used to fit the transformer state assessment coefficient, which can effectively eliminate the random errors and accidental fluctuations that occur in the experiment and improve the accuracy and reliability of the transformer state assessment.

[0045] A third aspect of the present invention provides a transformer state assessment system, which is implemented based on any one of the transformer state assessment devices of the first aspect, and includes:

[0046] A transformer state assessment device, used for setting a plurality of acquisition frequency points through the main control module, thereby acquiring transient electrical signals of the transformer through the acquisition module based on the plurality of acquisition frequency points, wherein the transient electrical signals include a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer;

[0047] A characteristic curve drawing module, used for calculating the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on a plurality of the acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2;

[0048] A health impact factor calculation module, used to extract the characteristic parameters of P1 and P2 based on a number of the acquisition frequency points, and then calculate the health impact factor;

[0049] The transformer state assessment module is used to calculate the transformer state assessment coefficient based on the health impact factor, and then quantitatively assess the transformer state according to the transformer state assessment coefficient.

[0050] In a possible implementation, in the characteristic curve drawing module, calculating the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding includes:

[0051] The frequency of the i-th acquisition frequency point is recorded as f i(i=1,2,...,N), f i The unit is Hz;

[0052] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i) is the current signal I2 collected at the i-th collection frequency point, in A, U 1(i) is the voltage signal U1 collected at the i-th collection frequency point, in V;

[0053] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, in A, U 2(i) is the voltage signal U2 collected at the i-th collection frequency point, in V.

[0054] In a possible implementation, in the health impact factor calculation module, extracting the characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points and then calculating the health impact factor includes:

[0055] Based on the frequency fi (i=1, 2, ..., N) of the i-th acquisition frequency point, the response characteristic value Y of the transient response characteristic curve P1 is extracted respectively. 1(i) The response characteristic value Y of the transient response characteristic curve P2 2(i) ;

[0056] Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ;

[0057] Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2

[0058] Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as formula (1):

[0059]

[0060] A fourth aspect of the present invention provides a computer device, comprising a processor and a memory, wherein the memory is used to store a computer program, and when the processor calls the computer program, a transformer state assessment method as described in any one of the second aspects is implemented.

[0061] The transformer status assessment device, method, system and computer equipment provided by the present invention have at least the following advantages over the prior art:

[0062] Firstly, the transformer state assessment device provided by the present invention does not rely on an external excitation signal input into the transformer to assess its state, but simulates the working environment of the transformer when it is configured in an actual power transmission network through a peripheral circuit, and observes the induced transient electrical signal generated by the transformer based on the transient overvoltage fluctuations during normal operation of the peripheral circuit, thereby assessing the operating state of the transformer, which greatly reduces the interference of external factors on the transformer, reduces the error of transformer state assessment, and improves the accuracy of diagnosing potential faults and component problems of the transformer itself.

[0063] Secondly, the present invention provides a transformer state assessment method, which collects the transient electrical signal generated when the transformer senses the transient overvoltage fluctuation of the peripheral circuit, calculates the corresponding transformer transient response characteristic curve, and then fits the health impact factor according to the characteristic parameters extracted from the transient response characteristic curve, and finally obtains the state assessment coefficient for judging the current state of the transformer, thereby achieving quantitative assessment of the operating characteristics of the transformer in the working environment while minimizing the interference of external factors, reducing the error of the transformer state assessment, and comprehensively assessing its operating state based on multi-frequency point data through the changes in the induced signals of the windings on both sides of the transformer, thereby increasing the accuracy of the transformer state assessment, and facilitating the timely discovery and elimination of potential faults and component problems of the transformer itself.

[0064] Finally, in some possible implementations of the present invention, multiple pairs of health impact factors collected through multiple experiments can be used to fit the transformer state assessment coefficient, which can effectively eliminate random errors and accidental fluctuations that occur in the experiment and improve the accuracy and reliability of the transformer state assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 is a structural schematic diagram of a transformer state assessment device provided by an embodiment of the present invention;

[0066] Figure 2 It is a flow chart of a transformer status assessment method provided by an embodiment of the present invention.

[0067] Among them: 1. PC control terminal; 2. first main control board; 14. second main control board; 3. first acquisition device; 4. first protection resistor; 6. first current detector; 7. first voltage detector; 9. second voltage detector; 10. second current detector; 12. second protection resistor; 13. second acquisition device 13; 5. first peripheral circuit; 8. transformer; 11. second peripheral circuit. DETAILED DESCRIPTION

[0068] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0069] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0070] An embodiment of the present invention provides a transformer state assessment device, comprising:

[0071] A main control module, used to generate instructions for transformer data collection, receive the transformer data for calculation and processing, and then evaluate the transformer status;

[0072] The acquisition module receives the control signal sent by the main control module, performs data acquisition on the transformer, obtains the transformer data and sends it to the main control module;

[0073] The transformer module is pre-installed with a transformer and its peripheral circuits, and is used to simulate the transient electrical signals generated by the transformer in the working environment as the data acquisition object.

[0074] refer to Figure 1 An embodiment of the present invention provides another transformer state assessment device, wherein the main control module includes a PC control terminal 1, a first main control board 2, and a second main control board 14; the acquisition module includes a first acquisition device 3, a first protection resistor 4, a first current detector 6, a first voltage detector 7, a second voltage detector 9, a second current detector 10, a second protection resistor 12, and a second acquisition device 13; the transformer module includes a first peripheral circuit 5, a transformer 8, and a second peripheral circuit 11. Specifically:

[0075] The PC control terminal 1 generates instructions and sends them to the first main control board 2 and the second main control board 14 respectively;

[0076] Receiving the instruction generated by the PC control terminal 1, the first main control board 2 sends a control signal to the first acquisition device 3, and the second main control board 14 sends a control signal to the second acquisition device 13;

[0077] Receiving the control signal, the first acquisition device 3 collects the transient electrical signal on the primary winding of the transformer 8 through the first protection resistor 4, the first current detector 6 and the first voltage detector 7 in sequence;

[0078] Receiving the control signal, the second acquisition device 13 collects the transient electrical signal on the secondary winding of the transformer 8 through the second protection resistor 12, the second current detector 10 and the second voltage detector 9 in sequence;

[0079] The first peripheral circuit 5 is connected to the primary winding of the transformer 8, and the second peripheral circuit 11 is connected to the secondary winding of the transformer 8. When the first peripheral circuit 5 or the second peripheral circuit 11 generates overvoltage or overcurrent, transient electrical signals are generated on the primary winding and secondary winding of the transformer 8.

[0080] It should also be noted that the first peripheral circuit 5 and the second peripheral circuit 11 are peripheral equivalent circuits corresponding to various peripheral devices and circuits when the transformer is configured in the power grid, which are used to simulate the actual operating environment of the transformer in the power grid. In the working environment of the transformer in the power transmission network, the transformer peripheral devices and circuits are prone to transient overvoltage or overcurrent in the circuit due to lightning strikes or overvoltage events during daily operation, affecting the operation of the transformer. The first peripheral circuit 5 and the second peripheral circuit 11 are equivalent circuits of the power grid peripheral devices, which can simulate the working environment. When the peripheral circuit generates transient overvoltage or transient overcurrent due to unstable factors during operation, it will induce the transformer to generate an induction signal.

[0081] Specifically, the PC control terminal 1 can be a computer device for providing computing and control capabilities. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The first main control board 2 and the second main control board 14 can be single-chip main control boards or embedded main control boards. The first acquisition device 3 and the second acquisition device 13 can be a data acquisition device for realizing data transmission between the detector and the main control board to complete data acquisition.

[0082] refer to Figure 2 The embodiment of the present invention provides a transformer state assessment method, which is implemented by relying on any of the above-mentioned transformer state assessment devices, and includes:

[0083] S201, setting a number of acquisition frequency points through the main control module;

[0084] S202, based on a plurality of the acquisition frequency points, the acquisition module acquires the transient electrical signal of the transformer, wherein the transient electrical signal includes a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer;

[0085] S203, calculating a transient response characteristic curve P1 of the primary winding and a transient response characteristic curve P2 of the secondary winding based on a plurality of the acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2;

[0086] S204, extracting characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points, and then calculating a health impact factor;

[0087] S205. Calculate a transformer state assessment coefficient based on the health impact factor, and then quantitatively assess the transformer state according to the transformer state assessment coefficient.

[0088] In this embodiment, by collecting the transient electrical signal generated when the transformer senses the transient overvoltage fluctuation of the peripheral circuit, the corresponding transient response characteristic curve of the transformer is calculated, and then the health impact factor is fitted according to the characteristic parameters extracted from the transient response characteristic curve, and finally the state assessment coefficient for judging the current state of the transformer is obtained, so as to achieve quantitative assessment of the operating characteristics of the transformer in the working environment while minimizing the interference of external factors, reduce the error of the transformer state assessment, and comprehensively assess its operating state based on multi-frequency point data through the changes in the induced signals of the windings on both sides of the transformer, thereby increasing the accuracy of the transformer state assessment, and facilitating the timely discovery and elimination of potential faults and component problems of the transformer itself.

[0089] In one embodiment, the calculating of the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on the plurality of the acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2 includes:

[0090] The frequency of the i-th acquisition frequency point is recorded as f i (i=1,2,...,N), f i The unit is Hz;

[0091] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i)is the current signal I2 collected at the i-th collection frequency point, in A, U 1(i) is the voltage signal U1 collected at the i-th collection frequency point, in V;

[0092] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, in A, U 2(i) is the voltage signal U2 collected at the i-th collection frequency point, in V.

[0093] Specifically, the fundamental amplitudes of the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2 at different acquisition frequency points i are obtained by Fourier decomposition and substituted as the reference amplitudes and Perform calculations.

[0094] In this embodiment, by calculating the transient response characteristic curves of the primary winding and the secondary winding of the transformer, the response characteristics of the transformer when facing transient events caused by the peripheral circuit are quantitatively described, so that the dynamic performance of the transformer can be analyzed, and the comprehensiveness and accuracy of the transformer status assessment are enhanced.

[0095] In one embodiment, the extracting characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points and then calculating the health impact factor includes:

[0096] Based on the frequency f of the i-th acquisition frequency point i (i=1,2,...,N), respectively extract the response characteristic value Y of the transient response characteristic curve P1 1(i) The response characteristic value Y of the transient response characteristic curve P2 2(i) ;

[0097] Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ;

[0098] Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2

[0099] Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y 2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as formula (1):

[0100]

[0101] In this embodiment, the characteristic value of the transient response characteristic curve is introduced into the calculation formula of the health impact factor, so that the response characteristics of the transformer induced by the transient changes of the peripheral circuit can be reflected in the health impact factor, and the phase difference of the voltage signal and the phase difference of the current signal in the transient electrical signal of the transformer are introduced into the calculation formula of the health impact factor, so that the electromagnetic coupling state between the transformer windings and the internal insulation condition of the transformer can be reflected in the health impact factor, thereby enhancing the comprehensiveness and accuracy of the transformer status assessment and improving the accuracy of diagnosing potential faults and component problems of the transformer itself.

[0102] In one embodiment, it includes:

[0103] The experiment was repeated three times based on the preset time intervals to obtain three pairs of health impact factors, namely ψ 1a With ψ 2a , ψ 1b With ψ 2b , ψ 1c With ψ 2c ;

[0104] The transformer state assessment coefficient σ is calculated based on the three pairs of health impact factors, and its expression is formula (2):

[0105]

[0106] The transformer state is quantitatively evaluated according to the transformer state evaluation coefficient σ. If σ>0.68, it is considered that the transformer winding is in good state. If σ≤0.68, it is considered that the transformer winding has a fault.

[0107] Among them, 0.68 is the value obtained after comprehensive analysis of multiple transformer status assessment test results.

[0108] In this embodiment, the transformer state assessment coefficient is fitted and calculated by using three pairs of health impact factors collected from three experiments, which can effectively eliminate random errors and accidental fluctuations that occur in the experiment and improve the accuracy and reliability of the transformer state assessment.

[0109] The embodiment of the present invention further provides a transformer state assessment system, which is implemented based on any of the above transformer state assessment devices, and includes:

[0110] A transformer state assessment device, used for setting a plurality of acquisition frequency points through the main control module, thereby acquiring transient electrical signals of the transformer through the acquisition module based on the plurality of acquisition frequency points, wherein the transient electrical signals include a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer;

[0111] A characteristic curve drawing module, used for calculating the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on a plurality of the acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2;

[0112] A health impact factor calculation module, used to extract the characteristic parameters of P1 and P2 based on a number of the acquisition frequency points, and then calculate the health impact factor;

[0113] The transformer state assessment module is used to calculate the transformer state assessment coefficient based on the health impact factor, and then quantitatively assess the transformer state according to the transformer state assessment coefficient.

[0114] In one embodiment, in the characteristic curve drawing module, calculating the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding includes:

[0115] The frequency of the i-th acquisition frequency point is recorded as f i (i=1,2,...,N), f i The unit is Hz;

[0116] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i) is the current signal I2 collected at the i-th collection frequency point, in A, U 1(i) is the voltage signal U1 collected at the i-th collection frequency point, in V;

[0117] With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, in A, U 2(i)is the voltage signal U2 collected at the i-th collection frequency point, in V.

[0118] In one embodiment, in the health impact factor calculation module, extracting the characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points and then calculating the health impact factor includes:

[0119] Based on the frequency fi (i=1, 2, ..., N) of the i-th acquisition frequency point, the response characteristic value Y of the transient response characteristic curve P1 is extracted respectively. 1(i) The response characteristic value Y of the transient response characteristic curve P2 2(i) ;

[0120] Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ;

[0121] Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2

[0122] Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y 2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as formula (1):

[0123]

[0124] In addition, an embodiment of the present application further provides a computer device, including a processor and a memory, wherein the memory is used to store a computer program, and when the processor calls the computer program, the transformer state assessment method as described in any of the above embodiments is implemented.

[0125] The computer device may specifically be a terminal or a server. The computer device includes a processor, a memory, a network interface, a display, and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an input impedance modeling method is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0126] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., an SSD), etc.

[0127] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims

1. A transformer status assessment device, characterized in that: include: A main control module, used to generate instructions for transformer data collection, receive the transformer data for calculation and processing, and then evaluate the transformer status; The acquisition module receives the control signal sent by the main control module, performs data acquisition on the transformer, obtains the transformer data and sends it to the main control module; The transformer module is pre-installed with a transformer and its peripheral circuits, and is used to simulate the transient electrical signals generated by the transformer in the working environment as the data acquisition object.

2. A transformer status assessment device according to claim 1, characterized in that: The main control module comprises a PC control terminal (1), a first main control board (2), and a second main control board (14); the acquisition module comprises a first acquisition device (3), a first protection resistor (4), a first current detector (6), a first voltage detector (7), a second voltage detector (9), a second current detector (10), a second protection resistor (12), and a second acquisition device (13); the transformer module comprises a first peripheral circuit (5), a transformer (8), and a second peripheral circuit (11), wherein: The PC control terminal (1) generates instructions and sends them to the first main control board (2) and the second main control board (14) respectively; Receiving an instruction generated by the PC control terminal (1), the first main control board (2) sends a control signal to the first acquisition device (3), and the second main control board (14) sends a control signal to the second acquisition device (13); Upon receiving the control signal, the first acquisition device (3) sequentially acquires a transient electrical signal on the primary winding of the transformer (8) through a first protection resistor (4), a first current detector (6) and a first voltage detector (7); Upon receiving the control signal, the second acquisition device (13) sequentially acquires a transient electrical signal on the secondary winding of the transformer (8) through a second protective resistor (12), a second current detector (10) and a second voltage detector (9); The first peripheral circuit (5) is connected to the primary winding of the transformer (8), and the second peripheral circuit (11) is connected to the secondary winding of the transformer (8). When the first peripheral circuit (5) or the second peripheral circuit (11) generates an overvoltage or an overcurrent, a transient electrical signal is generated on the primary winding and the secondary winding of the transformer (8).

3. A transformer state assessment method, implemented by relying on a transformer state assessment device according to claim 1 or 2, characterized in that: include: Setting a number of acquisition frequency points through the main control module; Based on a number of the acquisition frequency points, the transient electrical signal of the transformer is acquired through the acquisition module, wherein the transient electrical signal includes a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer; Based on the plurality of acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2, a transient response characteristic curve P1 of the primary winding and a transient response characteristic curve P2 of the secondary winding are calculated; Extracting characteristic parameters of P1 and P2 based on a number of the acquisition frequency points, and then calculating the health impact factor; A transformer state assessment coefficient is calculated based on the health impact factor, and then the transformer state is quantitatively assessed according to the transformer state assessment coefficient.

4. A transformer status assessment method according to claim 3, characterized in that: The calculating of the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on the plurality of acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2 comprises: The frequency of the i-th acquisition frequency point is recorded as f i , where i is a natural number; With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i) is the current signal I2 collected at the i-th collection frequency point, U 1(i) The voltage signal U1 collected at the i-th collection frequency point; With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, U 2(i) It is the voltage signal U2 collected at the i-th collection frequency point.

5. A transformer status assessment method according to claim 4, characterized in that: The extracting the characteristic parameters of P1 and P2 based on a plurality of the acquisition frequency points, and then calculating the health impact factor, includes: Based on the frequency f of the i-th acquisition frequency point i , respectively extract the response characteristic value Y of the transient response characteristic curve P1 1(i) The response characteristic value Y of the transient response characteristic curve P2 2(i) ; Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ; Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2 Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y 2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as:

6. A transformer status assessment method according to claim 5, characterized in that: include: The experiment was repeated three times based on the preset time intervals to obtain three pairs of health impact factors, namely ψ 1a With ψ 2a , ψ 1b With ψ 2b , ψ 1c With ψ 2c ; The transformer state assessment coefficient σ is calculated based on the three pairs of health impact factors, and its expression is: The transformer state is quantitatively evaluated according to the transformer state evaluation coefficient σ. If σ>0.68, it is considered that the transformer winding is in good state. If σ≤0.68, it is considered that the transformer winding has a fault.

7. A transformer state assessment system, implemented by relying on a transformer state assessment device according to claim 1 or 2, characterized in that: include: A transformer state assessment device, used for setting a plurality of acquisition frequency points through the main control module, thereby acquiring transient electrical signals of the transformer through the acquisition module based on the plurality of acquisition frequency points, wherein the transient electrical signals include a voltage signal U1 and a current signal I1 on the primary winding of the transformer, and a voltage signal U2 and a current signal I2 on the secondary winding of the transformer; feature A curve drawing module, used for calculating the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding based on a plurality of the acquisition frequency points, the voltage signal U1, the current signal I1, the voltage signal U2 and the current signal I2; A health impact factor calculation module, used to extract the characteristic parameters of P1 and P2 based on a number of the acquisition frequency points, and then calculate the health impact factor; The transformer state assessment module is used to calculate the transformer state assessment coefficient based on the health impact factor, and then quantitatively assess the transformer state according to the transformer state assessment coefficient.

8. A transformer status assessment system according to claim 7, characterized in that: In the characteristic curve drawing module, the calculation of the transient response characteristic curve P1 of the primary winding and the transient response characteristic curve P2 of the secondary winding includes: The frequency of the i-th acquisition frequency point is recorded as f i , where i is a natural number; With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P1 of the primary winding, where I 2(i) is the current signal I2 collected at the i-th collection frequency point, U 1(i) The voltage signal U1 collected at the i-th collection frequency point; With the horizontal axis as lnf i , the vertical axis is Calculate and draw the transient response characteristic curve P2 of the secondary winding, where I 1(i) is the current signal I1 collected at the i-th collection frequency point, U 2(i) It is the voltage signal U2 collected at the i-th collection frequency point.

9. A transformer status assessment system according to claim 8, characterized in that: In the health impact factor calculation module, the feature parameters of P1 and P2 are extracted based on a number of acquisition frequency points, and then the health impact factor is calculated, including: Based on the frequency f of the i-th acquisition frequency point i , respectively extract the response characteristic value Y of the transient response characteristic curve P1 1(i) The response characteristic value Y of the transient response characteristic curve P2 2(i) ; Based on the response characteristic value Y 1(i) Calculate the maximum value of the response eigenvalue Y 1max and the mean value of the response characteristic value Y 1av , and based on the response characteristic value Y 2(i) Calculate the maximum value of the response eigenvalue Y 2max and the mean value of the response characteristic value Y 2av ; Calculate the phase difference between the voltage signal U1 and the voltage signal U2 based on the i-th acquisition frequency point And calculate the phase difference between the current signal I1 and the current signal I2 Based on the f i , Y 1(i) , Y 1max , Y 1av , Y 2(i) , Y 2max , Y 2av , and Calculate the health impact factors ψ1 and ψ2, and the calculation formula is expressed as:

10. A computer device, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store a computer program, and when the processor calls the computer program, the method described in any one of claims 3 to 6 is implemented.

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