39 results about "Power transformer windings" patented technology

The invention discloses a power transformer winding insulation state monitoring method, a power transformer winding insulation state monitoring device, power transformer winding insulation state monitoring equipment and a medium, and relates to the technical field of power system equipment state monitoring. And an improved particle swarm optimization algorithm is adopted to inversely calculate the insulation parameters of a plurality of windings of the transformer to the ground, so that the insulation state of each winding can be accurately evaluated. Compared with a traditional monitoring method, the method has the advantages that rich information contained in the common-mode leakage current can be fully utilized, the insulation degradation conditions of different windings can be accurately distinguished, more accurate insulation state evaluation is provided, and the safe operation level of the transformer is effectively improved. Moreover, multi-stage evaluation is carried out on the insulation state through a fuzzy comprehensive evaluation method, the insulation state can be comprehensively reflected, different severity degrees of the insulation state can be distinguished, the current state can be evaluated, the degradation trend can be predicted through dynamic indexes, and a scientific basis is provided for operation and maintenance decision making.

The invention relates to the technical field of mechanical performance testing of power transformer winding materials, in particular to a method for evaluating the mechanical strength of a transformer winding under a reclosing working condition, and the method comprises the steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying a micro foil strain gauge, an MEMS acceleration sensor and a flexible piezoresistive sensor based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and cushion block pressure data; after noise filtering, time alignment and feature extraction, multi-directional deformation cooperative influence is analyzed through methods of Pearson's correlation coefficients, partial least square regression and the like; and in combination with a historical damage sample training evaluation model, outputting a mechanical strength degradation level in real time. According to the method, the problems of synchronous acquisition and correlation analysis of multi-direction deformation data under reclosing impact are solved, and accurate evaluation of overall mechanical strength change caused by accumulated deformation is realized.

The invention discloses a method, a system, a medium and equipment for quickly judging the axial stability of an external short-circuit winding of a power transformer. In the method, a power transformer winding axial vibration calculation model is established; through changing a short-circuit current amplitude, a cushion block stress-strain curve characteristic value and a pre-tightening force, a critical condition of separation of a wire cake and a cushion block of a winding is obtained, and a three-dimensional map of a wire cake-cushion block vibration separation critical state is drawn. An axial stability analysis system when the power transformer is subjected to external short-circuit impact in an operation state is constructed, a computer is deployed locally to operate a calculation instruction corresponding to the method, and a short-circuit current peak value is extracted according to a current recording diagram of the power transformer under an external short-circuit fault; and determining a fault point location in the three-dimensional atlas according to the actual pre-tightening force of the winding and a cushion block stress-strain curve, and quickly judging the axial stability of the external short-circuit winding according to the relative relationship between the fault point location and a critical state interface.

The invention discloses a fusion filtering method, system, equipment and medium for power transformer winding state monitoring, and belongs to the technical field of power equipment state monitoring, and the method comprises the steps: obtaining an original state monitoring signal of a transformer winding; performing multi-scale decomposition on the original state monitoring signal by adopting self-adaptive wavelet transform; an improved particle filter is embedded, and a suggested distribution function of relative entropy optimization and a dynamic weight updating mechanism are combined; the filtered sub-signals are reconstructed through inverse wavelet transformation; weight parameters are adjusted in a self-adaptive mode; and outputting the key state parameters for transformer winding health assessment. Under the complex electromagnetic environment and the dynamic load fluctuation working condition, the signal-to-noise ratio of the state data of the transformer winding can be remarkably improved, the comprehensive accuracy rate of state evaluation is improved, and reliable data support is provided for health management and preventive maintenance of the transformer winding. And the operation reliability of the transformer and the intelligent level of state evaluation can be obviously improved.

The invention discloses a power transformer winding fault complex frequency domain diagnosis method and device, and the method comprises the steps: employing a neutral point voltage or current applying method, and obtaining the broadband short-circuit complex impedance of each phase of different windings of a transformer at different frequencies; according to the broadband short-circuit complex impedance of each phase of different windings under different frequencies, determining a complex frequency domain first correlation coefficient of broadband short-circuit complex impedance between different phases of different windings of the transformer under different frequencies; and performing winding fault diagnosis of the transformer according to the complex frequency domain first correlation coefficient. According to the method, the consistency of the alternating current power transformer and the converter transformer winding is detected through the correlation of the transformer winding and the complex impedance of different phases of the winding in the broadband range, weak winding faults such as winding deformation and turn-to-turn short circuit of the transformer can be found, and technical support is provided for evaluating the health state of the transformer.

The application discloses a power transformer winding and rubber coating integrated machine and a manufacturing method thereof, and belongs to the field of transformer coil production. The machine comprises a base plate, a control terminal and a winding framework. The surface of the base plate is sequentially provided with a feeding mechanism, a rotating mechanism and a winding mechanism in the horizontal direction. The feeding mechanism is provided with a horizontal moving carrying mechanism above. The winding mechanism is provided with a rubber belt support below. The self-adaptive barrier wall rubber belt with heat expansion compensation and magnetic field response characteristics is manufactured. The modified magnetorheological layer carbonyl iron powder is driven to directional arrangement by the magnetic field of the permanent magnet column during the rubber coating rotation. The penetration force of the pressure-sensitive adhesive to the coil gap is enhanced. The framework is contracted when the coil is working and heated to the preset phase change temperature. The coil thermal expansion is actively compensated. The aging of the insulation paper is avoided. The chain structure is formed in the coil magnetic field through the modified magnetorheological layer. The rubber belt hardness is improved to resist vibration impact. The heat conduction network is constructed to improve the heat dissipation efficiency.

The utility model discloses a power transformer winding outgoing line structure which comprises a copper foil body, a cutting line extending in the length direction of the copper foil body is arranged at the tail end of the copper foil body, the copper foil body is cut along the cutting line to obtain a plurality of separated foils, and the foils are kept to be connected with the copper foil body. The foils are bent and then overlapped together to form a wire outlet structure; insulation paper is wound on the outer surface of the joint of the wire outlet structure and the copper foil body, and a first bonding strip is wound on the outer surface of the insulation paper. The insulation paper is wound on the outer surface of the joint of the wire outlet structure and the copper foil body, and the insulation paper can avoid short circuit between the wire outlet structure and the iron core. By arranging the first bonding strip and the second bonding strip, the insulation paper and the foil are bonded together, the position of the insulation paper can be well fixed, and the insulation paper is prevented from sliding on the wire outlet structure.

The utility model provides power transformer winding and power transformer. Power transformer winding includes: coil cylinder body, is formed by coil cake, forms radial cooling oil channel between adjacent coil cake, inner cylinder body is formed with the inner layer cooling oil channel between coil cylinder body, and outer cylinder body is formed with the outer layer cooling oil channel between coil cylinder body, power transformer winding still includes: a plurality of support strip, is fixed to the inner circumferential surface and outer circumferential surface of coil cylinder body, and support strip has support strip connecting portion, and oil baffle ring is arranged in the inner layer cooling oil channel and / or outer layer cooling oil channel, and oil baffle ring makes the cooling oil flowing in the inner layer cooling oil channel and / or outer layer cooling oil channel change direction and flow to radial cooling oil channel, and oil baffle ring has oil baffle ring connecting portion, and oil baffle ring and support strip are fixedly connected together through the connection between oil baffle ring connecting portion and support strip connecting portion. The oil baffle ring of power transformer winding is convenient to install and improves the effect of partial oil flow resistance of winding.

The invention discloses a power transformer winding temperature on-line monitoring system. The system comprises a temperature analyzer, and an infrared thermal imager, an environment sensor group and an operation data acquisition module which are connected with the temperature analyzer; the thermal infrared imager is aligned with a monitoring area, corresponding to a winding, of a preset oil tank on the power transformer so as to collect a corresponding thermal infrared image in real time; the environment sensor group collects surrounding environment parameters of the power transformer in real time; the operation data acquisition module is arranged on an external connection cable of the power transformer so as to acquire operation data of the power transformer in real time; and the temperature analyzer receives the infrared thermogram of the monitoring area and carries out image processing so as to extract the average temperature of the monitoring area, and the average temperature is combined with the surrounding environment parameters and the operation data of the power transformer and is imported into a heat conduction model to calculate the on-line temperature of the power transformer winding. According to the invention, the problems of inconvenient installation, low precision, incapability of accurately monitoring the winding temperature in real time and the like of the existing power transformer winding temperature monitoring method can be solved.

This invention relates to the field of power transformer technology, specifically to a power transformer winding insulation protection device and assembly method integrating temperature sensing monitoring. The device includes a housing with a protection assembly located in the middle of the housing wall. The protection assembly includes a fixed tube and a piston plate. A movable plate is connected inside the fixed tube, and the movable plate and piston plate are connected by several springs. An adjusting rod is connected inside the fixed tube. The top of the housing has an exhaust structure, including two symmetrically fixed air pipes on the left and right sides of the top of the housing. Air pipe caps are hinged to the bottom of the air pipes, and a float is fixed to the center of the bottom surface of the air pipe caps to control their rotation and closure. The air pipe caps and piston plates are connected by a cable. By incorporating the protection assembly, when an electric arc is generated, the piston plate slides forward, allowing insulating oil to flow out and release pressure. The exhaust structure, while the piston plate moves to release pressure, simultaneously opens the air pipes to discharge gas, further relieving pressure and ensuring the safe operation of the transformer.

The application discloses a kind of power transformer winding deformation diagnosis positioning method and system, transformer adopts work type optical fiber magnetic field sensor to the winding leakage magnetic field signal collection, the work type optical fiber magnetic field sensor is installed on the insulation pad between transformer winding turns;According to the leakage magnetic field situation that the work type optical fiber magnetic field sensor is continuously monitored, the winding deformation fault is diagnosed;Based on the diagnosis result of the winding deformation fault, the positioning of the winding deformation fault position is realized by establishing fitting curve expression.This application can be aimed at the problem that the accuracy of existing transformer winding deformation monitoring method is not high, and on-line monitoring technology is not mature, by using work type optical fiber magnetic field sensor and setting on the insulation pad between winding turns, the radial and axial leakage magnetic component near transformer winding is measured, the winding state of transformer can be accurately judged, and the accurate diagnosis of winding deformation fault is realized.

The invention discloses a general power transformer winding deformation frequency response detection unit. The detection unit comprises a detection unit body and a clamping device, wherein the detection unit body is arranged on a wire outlet end or an end screen tap of each winding of a to-be-detected transformer through the clamping device. A selection knob and a unit opening switch are arranged on a shell of the body, and a main control CPU, a communication module, an excitation module, a sampling module, a dial module, an excitation module switch, a sampling module switch, a grounding switch and a detection port are arranged in the shell. The dial-up module is provided with twelve static contacts, the twelve static contacts are connected to twelve I / O ports of the master control CPU respectively, and a certain static contact is controlled to be grounded through the selection knob, so that the level state of the communicated I / O ports is converted from high level to low level, and other I / O ports are kept at high level. According to the invention, the detection unit can be flexibly deployed and automatically identify phases, a winding interface does not need to be transformed, the test efficiency and the test safety are improved, and the test cost is reduced.

The application discloses a power transformer winding fault detection method based on vibration spectrum analysis and relates to the technical field of power equipment detection, which comprises the following steps: collecting original vibration acceleration signals of a transformer and preprocessing the original vibration acceleration signals to form a signal frame sequence; applying an improved Hilbert-Huang transform to each signal frame to obtain a set of intrinsic mode functions, calculating a component instantaneous frequency sequence and extracting a frequency band with an energy proportion exceeding a preset threshold as a candidate fault characteristic frequency band; extracting a subband signal of each frequency band and calculating a high-order statistical quantity feature matrix; loading a health state reference feature matrix matched with a transformer model, capacity and voltage grade; comparing the two in an element-by-element manner to identify an abnormal feature submatrix; spatially clustering the abnormal feature submatrix to form a suspected fault mode cluster; and outputting a specific winding fault mode diagnosis result. The method can accurately extract fault characteristics and improve the accuracy and reliability of fault detection.

The invention discloses a power transformer winding radial deformation judgment method and system, a medium and a product, and relates to the field of power transformers, and the method comprises the steps: carrying out a low-voltage short-circuit reactance test between power transformer winding pairs, and obtaining the short-circuit reactance between each phase of winding pair; according to the short-circuit reactance between the winding pairs of each phase and the historical short-circuit reactance between the winding pairs of each phase, the change rate of the short-circuit reactance between the winding pairs of each phase is obtained; directly measuring the capacitance between each phase of winding pair of the power transformer by adopting a bridge positive wiring method; based on the historical capacitance, the capacitance change rate between the winding pairs of each phase is determined; determining a winding deformation result according to the short-circuit reactance change rate between each phase of winding pair and the capacitance change rate between each phase of winding pair; determining the winding deformation degree according to the short-circuit reactance change rate and the short-circuit reactance threshold value between each phase of winding pair and the winding deformation result; the deformation and the deformation degree of the power transformer winding can be accurately judged.

The invention relates to the technical field of electric power, and discloses a finite element order reduction method, system, equipment and medium for rapidly solving the stress of a power transformer winding, and the method comprises the steps: obtaining the electrical physical quantity related to the power transformer winding, and carrying out the three-dimensional entity model building of a power transformer, performing spatial order reduction on the three-dimensional solid model to obtain a two-dimensional axisymmetric finite element calculation model of the power transformer; carrying out initial grid division on the solution domain, and carrying out finite element numerical calculation solution on an internal electromagnetic field of the power transformer under various operation conditions to obtain electrodynamic force density data; and solving the stress distribution of the power transformer winding under the corresponding working condition, and generating a response surface model for calculating the stress of the power transformer winding. According to the method, the effects of reducing the calculation dimension, reducing the calculation amount and saving the calculation time and CPU load can be achieved, the calculation rapidity and accuracy of the reduced-order model are proved, and a basis and an optimization thought are provided for stress analysis and solution of the power transformer.

The application discloses an oscillation wave detection-based extra-high voltage power transformer winding fault simulation device and diagnosis method. Firstly, the test transformer winding is tested, the transformer winding connection point is connected with a high-frequency high-voltage switch and a high-frequency high-voltage direct current power supply, the high-frequency high-voltage switch is periodically actuated, thereby exciting the extra-high voltage transformer body structure vibration; according to the test data, an ITD transformation is adopted to establish a signal model X t ; then, an empirical mode decomposition (EMD) method is adopted to decompose the signal into a sum of a plurality of mutually orthogonal intrinsic mode function (IMF) components, a Hilbert transformation is performed on each IMF component to obtain an instantaneous frequency and an instantaneous amplitude, thereby obtaining a Hilbert spectrum of the signal to perform decomposition and reconstruction, improve the signal-to-noise ratio, calculate I(X,Y) to judge and remove most of the redundant noise and interference signals; further reconstruct the required signal, after the EMD decomposition of the non-steady-state signal, the mutual information is utilized to screen the obtained IMF components of each order, and a new x(t) is obtained. Finally, the winding vibration signal after the simulation deformation fault is solved through a signal sequence sample entropy calculation formula, and the winding deformation fault severity is judged, and the transformer fault degree is identified.

The invention relates to the technical field of winding equipment, discloses oil-immersed power transformer winding equipment, and solves the problems that coils produced by existing oil-immersed transformer coil winding equipment are loose, and short circuit is easily caused when an oil-immersed transformer is used. Oil-immersed power transformer winding equipment comprises a machining table, a fixing shell, a first electric telescopic rod and a guide block, a pressing assembly is arranged at the upper end of the machining table, a winding assembly is arranged on one side of the fixing shell, the pressing assembly comprises a fixing plate, an elastic component, an extrusion component, a pressing arc plate and a clamping component, the elastic component is arranged on one side of the fixing plate, and the clamping component is arranged on the other side of the fixing plate. The elastic component is arranged on one side of the fixing plate, the extrusion component is arranged on the other side of the fixing plate, the pressing arc plate is arranged at the other end of the elastic component, the clamping component is arranged on one side of the pressing arc plate, and through the arrangement of the fixing plate, the elastic component, the extrusion component, the pressing arc plate and the clamping component, the purpose of preventing copper wires on the winding former from loosening is achieved.

A power transformer external short-circuit winding axial stability rapid judgment method, system, medium and equipment. In the method, a power transformer winding axial vibration calculation model is established; by changing the short-circuit current amplitude, the characteristic value of the stress-strain curve of the cushion block and the pre-tightening force, the critical condition of the separation of the line pie and the cushion block of the winding is obtained, and the three-dimensional atlas of the critical state of the vibration separation of the line pie-cushion block is drawn. An axial stability analysis system of the power transformer under the external short-circuit impact in the running state is constructed, the above method corresponding calculation instruction is run by the local deployment computer, the short-circuit current peak value is extracted according to the current recording wave graph under the external short-circuit fault of the power transformer, and the fault point is determined in the three-dimensional atlas according to the actual pre-tightening force of the winding and the stress-strain curve of the cushion block. According to the relative relationship between the fault point and the critical state interface, the axial stability of the external short-circuit winding is rapidly judged.

The invention discloses an extra-high voltage power transformer winding fault simulation device and diagnosis method based on oscillatory wave detection, and the method comprises the steps: firstly testing a test transformer winding, connecting a connection point of the transformer winding with a high-frequency high-voltage switch and a high-frequency high-voltage DC power supply, and enabling the high-frequency high-voltage switch to carry out the periodic operation; therefore, the extra-high-voltage transformer body structure is excited to vibrate; establishing a signal model Xt by adopting ITD transformation according to the test data; the method comprises the following steps of: firstly, acquiring a signal, then decomposing the signal into the sum of a plurality of mutually orthogonal intrinsic mode function (IMF) components by adopting an empirical mode decomposition (EMD) method, and then performing Hilbert transformation on each IMF component to obtain an instantaneous frequency and an instantaneous amplitude, thereby obtaining a Hilbert spectrum of the signal to perform decomposition and reconstruction, improving a signal-to-noise ratio and solving I (X, Y) to judge and remove most of redundant noise and interference signals; and further reconstructing the required signal, and screening the obtained IMF components of each order by using mutual information after the unsteady-state signal is decomposed by EMD to obtain a new x (t). And finally, solving a winding vibration signal after the deformation fault is simulated through a solved signal sequence sample entropy calculation formula, judging whether the deformation fault of the winding is serious according to the winding vibration signal, and identifying the fault degree of the transformer.

The invention discloses an extra-high voltage power transformer winding deformation testing device and a testing method thereof. The device comprises a winding supporting mechanism, a winding extrusion mechanism and a detection system. The winding supporting mechanism comprises a winding supporting platform, a winding rotating platform and a rotating driving mechanism; the winding extrusion mechanism comprises an annular lifting platform, a plurality of sector gear extrusion mechanisms and an extrusion driving device; the detection system comprises a vibration signal acquisition device, a signal acquisition device and a high-frequency high-voltage excitation system. A winding deformation fault is simulated through a mechanical device, non-contact acquisition of a vibration signal is realized by adopting a high-speed camera, time-frequency analysis is performed on the acquired signal, the gravity center characteristic of the vibration signal is acquired, and the winding deformation degree is further judged. Through the testing device and method provided by the invention, the deformation fault of the transformer winding can be accurately simulated, accurate acquisition and analysis of the vibration signal are realized, and the accuracy and reliability of the deformation fault diagnosis of the extra-high voltage transformer winding are remarkably improved.

The invention relates to a method and a system for determining a hot-spot temperature threshold value of an oil-immersed power transformer winding. The method comprises the following steps: constructing a residual life evaluation model of a transformer insulation system based on historical data; constructing a calculation model of a long-term hot-spot temperature threshold value of the to-be-evaluated transformer based on the apparent life, the actual operation time and the total design life of the to-be-evaluated transformer; determining the bubble initial temperature of bubbles separated out by the insulation paper based on the internal total pressure of an oil tank of the transformer, the paper moisture content and the oil-paper polymerization degree, and taking the bubble initial temperature as a short-term hot-spot temperature threshold value of a transformer winding; setting a winding hot-spot temperature threshold of the to-be-evaluated transformer based on the long-term hot-spot temperature threshold and the short-term hot-spot temperature threshold of the to-be-evaluated transformer; the set temperature threshold not only reflects the current health condition of the transformer, but also integrates the prediction of the future service life and possible risk factors, so that the maximum operation efficiency of the transformer can be realized on the premise of ensuring the safety.

The invention discloses a power transformer winding and rubber coating all-in-one machine and a manufacturing method thereof, and belongs to the field of transformer coil production.The power transformer winding and rubber coating all-in-one machine comprises a base plate, a control terminal and a winding framework, a feeding mechanism, a rotating mechanism and a winding mechanism are sequentially arranged on the surface of the base plate in the horizontal direction, and a transverse moving carrying mechanism is arranged above the feeding mechanism; and an adhesive tape bracket is arranged below the winding mechanism. The self-adaptive retaining wall adhesive tape with thermal expansion compensation and magnetic field response characteristics is manufactured, the magnetic field of the permanent magnet column is utilized to drive the modified magneto-rheological layer carbonyl iron powder to be directionally arranged during rubber coating rotation, the seepage force of the pressure-sensitive adhesive to a coil gap is enhanced, the framework is triggered to contract when the coil works and the temperature rises to the preset phase change temperature, and the self-adaptive retaining wall adhesive tape is formed. Thermal expansion of the coil is actively compensated, accelerated aging of extruded insulation paper is avoided, a chain structure is formed in a coil magnetic field through the modified magnetorheological layer, the hardness of the adhesive tape is synchronously improved to resist vibration impact, and a heat conduction network is constructed to improve the heat dissipation efficiency.

This application discloses a method for dynamic mapping of the temperature field of a power transformer winding based on digital twins. The method includes: establishing a transformer winding thermal network model; collecting load power, ambient temperature, and cooling system operating mode within a preset time window to form an operating state sequence; and extracting path feature vectors using a sequence encoder; combining the current temperature measurements at each temperature measuring point with an oil flow inversion neural network to obtain estimated oil flow rates for each oil flow channel; and then substituting the estimated oil flow rates into the thermal network state equation for solution to obtain the temperature values ​​of each temperature node, and determining the winding hotspot temperature and location. This invention enables dynamic mapping of the internal temperature field of the winding, improving the accuracy of hotspot monitoring.

The invention relates to the technical field of power transformers, in particular to a power transformer winding direct-current resistance measuring structure and method. The structure comprises six groups of winding measuring circuits on the two sides of a high-voltage side and a low-voltage side, and the measuring circuits comprise a high-voltage side current generating loop, a high-voltage side bleeder circuit, a low-voltage side current generating loop and a low-voltage side bleeder circuit. The method comprises the following steps: controlling the normally-closed state of a high-voltage side optocoupler relay; direct current is introduced into the high-voltage side winding and the low-voltage side winding; measuring a high-voltage side loop current in a high-voltage side normally-closed state, and measuring a first loop current and a second loop current of a low-voltage side; the normally open state of the high-voltage side optocoupler relay is controlled; measuring AB and AC tap voltages of the high-voltage side in a normally open state and high-voltage side loop current in the normally open state; the high-voltage end calculates the phase resistance of the to-be-measured winding according to the measured voltage value and the current value, and the low-voltage end calculates the phase resistance of the to-be-measured winding according to the measured voltage value and the current value. According to the technical scheme, the measurement efficiency and the anti-interference capability can be improved.

The present application relates to the technical field of mechanical property test of power transformer winding material, and particularly relates to a transformer winding mechanical strength evaluation method under reclosing conditions, which comprises the following steps: obtaining and preprocessing historical operation data, finite element simulation data and laboratory simulation test data; deploying micro foil strain gauges, MEMS acceleration sensors and flexible piezoresistive sensors based on the preprocessed data, and synchronously collecting radial strain, axial acceleration and pad pressure data; after noise filtering, time alignment and feature extraction, the multi-directional deformation synergistic influence is analyzed through Pearson correlation coefficient, partial least squares regression and other methods; and the evaluation model is trained in combination with historical damage samples, and the mechanical strength degradation grade is output in real time. The present application solves the problems of synchronous collection and correlation analysis of multi-directional deformation data under reclosing impact, and realizes accurate evaluation of overall mechanical strength change caused by cumulative deformation.

The invention relates to the technical field of power systems, and discloses a method for searching internal faults of power transformer windings, which comprises the following steps of: arranging a plurality of groups of transparent hoses made of polyurethane materials in gaps among three-phase high, middle and low-side windings of a transformer to serve as maintenance observation pipes; when the system has a short-circuit fault, checking the current state of the transformer and checking whether the transformer trips and is powered off; after the transformer is stopped and safety measures are taken, a maintainer climbs up the top end of the transformer, inserts an industrial endoscope into an observation hole reserved in the top of the transformer and observes an internal winding of the transformer; an endoscope is inserted downwards into the transformer along the maintenance observation pipe, whether a fault exists in the transformer or not is judged through the real-time observation function of the endoscope, and the specific position of a fault point is positioned; according to the invention, an endoscope visiting mode is adopted, so that an internal fault point can be quickly positioned without disassembling the transformer, and the workload of maintainers is greatly reduced.

The invention discloses a power transformer winding deformation frequency response detection method. According to the method, a detection unit is arranged at the wire outlet end of each winding of a to-be-detected transformer, or the detection unit is arranged on a bushing tap. All the detection units are in network communication connection with the centralized control platform, and the detection units are in network communication connection. The main control CPU controls each detection unit as an excitation unit, a response unit or a suspension unit, sets a deformation frequency response test scheme of the tested winding, measures the reference voltage of the excitation unit at the head end of the tested winding and the response voltage of the response unit at the tail end of the tested winding, completes the frequency response test of the winding, and also can set a configuration full-automatic detection scheme. And the reference voltage of the head-end excitation unit and the response voltage of the tail-end response unit of all the measured windings are measured in sequence, so that the frequency response of all the windings of the transformer is automatically detected. According to the method, the test efficiency and the test safety are improved, the test cost is reduced, and a remote test can be carried out.

The embodiment of the invention discloses a power transformer winding fault complex frequency domain online diagnosis method and device, and the method comprises the steps: obtaining the midpoint voltage of different windings of a power transformer under reference complex impedance, and obtaining the midpoint voltage distance vector between the different windings according to the midpoint voltage; and obtaining a winding fault diagnosis result of the power transformer according to the midpoint voltage distance vector and a preset midpoint voltage distance vector threshold. According to the embodiment, the neutral-point voltage vector can reflect the electrical state in the winding, compared with an existing detection method, the neutral-point voltage vector is more sensitive to winding faults, the influence of load fluctuation is relatively small, meanwhile, the neutral-point voltage vector is not prone to being influenced by electromagnetic interference and a wiring mode, and the detection accuracy is improved. Therefore, the mode of carrying out winding fault diagnosis according to the midpoint voltage distance obtained according to the midpoint voltage is not easy to cause misjudgment, and the accuracy of an on-line diagnosis result of the winding faults of the alternating-current transformer and the converter transformer is improved.

The application discloses a kind of based on vibration method's electric power transformer winding compound fault implementation device and diagnostic method, first to test transformer winding, transformer winding connection point is connected with high-frequency high-voltage switch, high-frequency high-voltage DC power supply, high-frequency high-voltage switch unfolds periodic action, to stimulate electric power transformer ontology structure vibration;High-speed camera is used to shoot electric power transformer tank wall vibration, and vibration signal is extracted using normalization cross-correlation template matching algorithm;Then through synchronous extraction change establishes time-frequency mapping function to remove noise interference, reconstructs analysis to signal x0 (t), then modulates vibration signal, establishes frequency spectrum model X (f, φ), obtains the frequency amplitude sequence and A s (f) and corresponding frequency phase sequence are used to calculate the energy distribution of different modulation sub-bands using weighted time-frequency variational modal enhancement algorithm frequency amplitude sequence adaptive band segmentation;Finally, the transformation law under winding compound fault operating condition and normal operating condition is calculated respectively by defined function phase entropy Ψ (r) and amplitude-frequency energy function H (f), so as to judge the fault degree of electric power transformer winding.

The invention provides a power transformer winding lightning impulse partial discharge simulation method, device, equipment and medium, and relates to the field of electrical equipment and measurement, and the method comprises the steps: building a finite element simulation model of a target transformer, the finite element simulation model comprises a winding, an iron core, an insulating plate and transformer oil; a lightning impulse voltage waveform is applied to the finite element simulation model, electric field intensity distribution data and equivalent parameters are obtained, and the equivalent parameters comprise equivalent capacitance parameters and equivalent inductance parameters; using the electric field intensity distribution data and the equivalent parameters to carry out an alternating current and direct current superposition impulse voltage test to obtain discharge data; and optimizing parameters of the finite element simulation model by using the discharge data. Thus, through simulation guidance test design (field intensity distribution-test electrode design) and test verification of a simulation result, the simulation result and the test design are mutually verified, and the accuracy is improved.