CN115097745A - Transformer bushing fault diagnosis system based on digital twinning and operation method - Google Patents
Transformer bushing fault diagnosis system based on digital twinning and operation method Download PDFInfo
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- CN115097745A CN115097745A CN202210164299.9A CN202210164299A CN115097745A CN 115097745 A CN115097745 A CN 115097745A CN 202210164299 A CN202210164299 A CN 202210164299A CN 115097745 A CN115097745 A CN 115097745A
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The invention discloses a transformer bushing fault diagnosis system based on digital twinning and an operation method, belonging to the field of power equipment state detection. The multi-parameter online monitoring system collects and calculates relative dielectric loss, relative capacitance and partial discharge signals in the running process of the casing in real time, and transmits the collected information to the fault diagnosis software system through optical fibers for real-time display. The multi-field coupling virtual simulation model can simulate the conditions of the electric field, the temperature field and the stress distribution of the sleeve in real time and can realize bidirectional information interaction with a fault diagnosis software system. The casing failure diagnosis software system has the functions of displaying, storing, transmitting and extracting the collected casing state information in real time, and meanwhile, has a casing failure digital feature case library, and can judge whether the casing fails according to the collected information.
Description
Technical Field
The invention belongs to the field of power equipment state detection, and relates to a transformer bushing fault diagnosis system based on digital twinning and an operation method.
Background
The capacitive high voltage bushing is an indispensable external connection component of a power transformer as one of typical oil paper insulation devices. Not only has the function of leading the winding lead out of the transformer, but also plays the role of supporting and fixing the lead. The failure or damage of the high-voltage bushing not only causes the power failure of the transformer and other related power equipment, but also often causes the explosion of the bushing to cause the damage of the transformer and even further expands the accident range due to fire. The safe and stable operation of the sleeve directly influences the stability of the whole power grid, and has great significance for diagnosing and evaluating the insulation state of the sleeve.
At present, the insulation state diagnosis and evaluation method based on real-time monitoring data and historical monitoring data of the transformer bushing has great limitations, and the instantaneous state evaluation capability and the self-adaptive state evaluation capability are poor. Conventional thresholding methods have shown one-sidedness in the evaluation of different operating conditions when casing failure occurs rapidly or its precursor information is not apparent. Meanwhile, the state evaluation method under the traditional cause and effect framework is difficult to establish a complete knowledge base due to complex equipment mechanism and working conditions, high in maintenance cost and high in upgrading difficulty, and the optimization and perfection of the state evaluation system of the power equipment and further iterative updating are hindered.
The advent of digital twinning technology has addressed this problem well. The digital twin is to describe and model the characteristics, behaviors, formation processes, performances and the like of a physical entity object by using a digital technology, establish a virtual model which is completely corresponding and consistent with a physical entity in the real world by combining comprehensive simulation of multiple fields, simulate the behaviors and performances of the self in the real environment in real time by means of virtual-real interaction feedback, data fusion analysis, decision iterative optimization and the like, and predict the future development trend of the self. On the basis of a sleeve monitoring system, three-dimensional entity modeling is carried out, electric-thermal-mechanical multi-field coupling virtual simulation research is carried out, and a virtual model completely consistent with a physical entity is formed. The digital twin is a technology which makes full use of multidisciplinary advantages of models, data, intelligent integration and the like, has the mapping capability on the whole life cycle state of the sleeve, not only provides powerful analysis and decision support for predictive maintenance of the sleeve, but also can trace back details of the fault cause of the power equipment, continuously improves a product design model in an information world by utilizing interactive feedback information, greatly optimizes the improved design process of the sleeve, and therefore, the development of the high-voltage sleeve state diagnosis and evaluation technology based on the digital twin technology has very important engineering practical significance.
Disclosure of Invention
The invention aims to solve the problems in the prior art, provides a transformer bushing fault diagnosis system based on digital twinning and an operation method thereof, and aims to solve the technical problems that in the prior art, a transformer bushing is difficult to form a case library with abundant bushing digital characteristics, and the maintenance cost of the case library is high.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
the invention provides a transformer bushing fault diagnosis system based on digital twinning, which comprises a multi-parameter online monitoring system, a multi-field coupling virtual simulation model and a fault diagnosis software system; the output port of the multi-parameter online monitoring system is connected with the first input port of the fault diagnosis software system; the output port of the multi-field coupling virtual simulation model is connected with the second input port of the fault diagnosis software system; the input port of the multi-field coupling virtual simulation model is connected with the output port of the fault diagnosis software system;
the multi-parameter online monitoring system is arranged on the entity casing and is used for acquiring relative dielectric loss, relative capacitance and local discharge signals in the casing operation process in real time and transmitting acquired data to the fault diagnosis software system;
the multi-field coupling virtual simulation model is used for simulating the conditions of the electric field, the temperature field and the stress distribution of the sleeve in real time and changing simulation conditions in real time according to information transmitted by the fault diagnosis software system;
the casing failure diagnosis software system is used for displaying, storing, transmitting and extracting the collected casing state information in real time, forming a casing failure digital feature case library and realizing the casing failure diagnosis.
Preferably, the multi-parameter online monitoring system comprises a composite sensor, a collector and an industrial personal computer;
the composite sensor comprises a first sensor arranged at the oil taking port of the sleeve and a second sensor arranged at the end screen of the sleeve; the collector and the industrial personal computer are both arranged in the control cubicle;
the collector is electrically connected with the composite sensor; the collector converts the collected signal data into digital signals and transmits the digital signals to the industrial personal computer through optical fibers, and the industrial personal computer is used for transmitting the data to the fault diagnosis software system.
Preferably, the sleeve is provided with six sensors and three collectors, and the three collectors are triggered synchronously.
Preferably, the multi-field coupling virtual simulation model is built by finite element analysis software according to the real structure of the casing.
Preferably, CAE software is used for carrying out multi-field coupling analysis on the multi-field coupling virtual simulation model.
Preferably, an optical fiber is adopted between the multi-parameter online monitoring system and the fault diagnosis software system to convert digital signals into optical signals for transmission.
Preferably, the calculation of the relative dielectric loss and the relative capacitance uses a relative measurement method, which is to select one other capacitive device connected in parallel with the device to be tested as a reference device.
Preferably, the calculation of the relative dielectric loss and the relative capacitance is as shown in equations (1) and (2):
△tanδ＝tanδ 2 -tanδ 1 ≈tan(δ 2 -δ 1 )＝tanα (1)
Cx/Cn＝Ix/In (2)
where Δ tan δ is the relative dielectric loss of the casing, δ 1 Is the phase angle, delta, of the leakage current signal 2 Is the phase angle of the reference current signal, alpha is the phase angle between the reference current signal and the leakage current signal; ix is the fundamental amplitude of the leakage current signal, In is the fundamental amplitude of the reference current signal, Cx is the relative capacitance of the device under test, Cn is the relative capacitance of the reference device.
Preferably, the fault diagnosis software system is based on a zone development platform architecture;
the case base of the digital features of the casing failure comprises digital feature information of casing discharge signals, basic information of casing discharge spectrograms and statistical operator information of the casing discharge spectrograms.
The invention provides an operation method of a transformer bushing fault diagnosis system based on digital twinning, which comprises the following steps:
the multi-parameter online monitoring system collects relative dielectric loss, relative capacitance and partial discharge signals in the operation process of the sleeve, and then transmits the collected operation data to the fault diagnosis software system to realize real-time display;
meanwhile, the multi-field coupling virtual simulation model changes simulation conditions in real time according to information transmitted by the fault diagnosis software system, and the typical fault of the sleeve is set in the multi-field coupling virtual simulation model to obtain running data under the fault, so that a sleeve digital feature case library is enriched, and the fault diagnosis of the sleeve is realized.
Compared with the prior art, the invention has the following beneficial effects:
according to the transformer bushing fault diagnosis system based on the digital twinning, the constructed digital twinning body and the physical entity run synchronously based on the digital twinning technology, a bushing fault digital characteristic case is generated for fault diagnosis of the physical entity, extracted characteristic parameters can be compared with a case library, whether the bushing is in fault or not can be judged, and compared with a traditional detection method, the bushing fault case can be obtained more easily. The simulation conditions are changed in real time according to the running state information of the casing by the casing virtual digital twin body constructed by the multi-field coupling virtual simulation model, and a simulation calculation result capable of reflecting the real running condition of the casing is obtained. The casing fault diagnosis software system stores the information of the casing fault, and is beneficial to tracking and backtracking the casing fault reason, so as to provide instructive opinions for improving the casing design structure.
Furthermore, optical fibers are adopted between the multi-parameter online monitoring system and the sleeve fault diagnosis software system to convert digital signals into optical signals for transmission, and the system has the characteristics of wide frequency band, strong anti-interference capability, low loss and no temperature drift, and is suitable for long-distance high-precision sleeve state parameter information transmission.
Furthermore, the multi-field coupling virtual simulation model is built by finite element analysis software according to the real structure of the sleeve, the electric field, the temperature field and the stress distribution condition of the sleeve can be simulated in real time, a graphic interactive interface is provided, and parameters in the simulation process can be changed.
According to the operation method of the transformer bushing fault diagnosis system based on the digital twinning, information is collected by the multi-parameter online monitoring system and transmitted to the fault diagnosis software system, the fault diagnosis software system and the multi-field coupling virtual simulation model are interacted with each other, not only can simulation conditions be changed in real time, but also a bushing fault digital characteristic case base can be enriched, and the method is simple to operate and convenient to achieve fault diagnosis.
Drawings
In order to more clearly explain the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and it is obvious for those skilled in the art that other related drawings can be obtained from these drawings without inventive efforts.
Fig. 1 is a diagram of a digital twinning-based transformer bushing fault diagnosis system of the present invention.
FIG. 2 is a block diagram of the multi-parameter on-line monitoring system of the present invention.
FIG. 3 is a schematic diagram of the calculation of relative dielectric loss and relative capacitance according to the present invention.
Fig. 4 is a two-dimensional axisymmetrical model diagram of the transformer bushing of the present invention.
Wherein, 1-conductor; 2-first transformer oil; 3, mounting a porcelain bushing; 4-a flange; 5-placing a porcelain bushing; 6-pressure equalizing ball; 7-second transformer oil; 8-oiled paper.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the embodiments of the present invention, it should be noted that if the terms "upper", "lower", "horizontal", "inner", etc. are used for indicating the orientation or positional relationship based on the orientation or positional relationship shown in the drawings or the orientation or positional relationship which the products of the present invention are usually placed in when used, the description is only for convenience and simplicity, and the indication or suggestion that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
Furthermore, the term "horizontal", if any, does not mean that the component is required to be absolutely horizontal, but may be slightly inclined. For example, "horizontal" merely means that the direction is more horizontal than "vertical" and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the embodiments of the present invention, it should be further noted that unless otherwise explicitly stated or limited, the terms "disposed," "mounted," "connected," and "connected" should be interpreted broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The invention is described in further detail below with reference to the accompanying drawings:
a transformer bushing fault diagnosis system based on digital twinning is disclosed, as shown in figure 1, and comprises a bushing multi-parameter online monitoring system, a multi-field coupling virtual simulation model and a fault diagnosis software system, wherein an output port of the multi-parameter online monitoring system is connected with a first input port of the fault diagnosis software system; the output port of the multi-field coupling virtual simulation model is connected with the second input port of the fault diagnosis software system; and the input port of the multi-field coupling virtual simulation model is connected with the output port of the fault diagnosis software system.
The multi-parameter online monitoring system is arranged on the entity sleeve and can acquire relative dielectric loss, relative capacitance and partial discharge signals in the running process of the sleeve in real time and transmit the acquired data to the fault diagnosis software system to realize real-time display. The structure diagram of the multi-parameter online monitoring system is shown in fig. 2, the multi-parameter online monitoring system comprises a composite sensor, a collector and an industrial personal computer, the composite sensor comprises a first sensor arranged on a sleeve oil taking port and a second sensor arranged on a sleeve end screen, and the collector and the industrial personal computer are both arranged in a control cubicle. The collector is electrically connected with the composite sensor and is responsible for controlling the collection of related data and carrying out analysis, comparison, operation, conversion, storage and other operations on the data; the collector converts the collected signal data into digital signals and transmits the digital signals to the industrial personal computer through optical fibers, and the industrial personal computer is used for transmitting the data to the fault diagnosis software system. Six sensors and three collectors are mounted on three phases of each transformer in total, and the three-phase collectors adopt a synchronous triggering mode and collect three-phase data information simultaneously.
The multi-field coupling virtual simulation model is established by finite element analysis software according to the real structure of the sleeve, the multi-field coupling virtual simulation model can simulate the distribution conditions of an electric field, a temperature field and stress of the sleeve in real time, and the multi-field coupling virtual simulation model can realize bidirectional information interaction with a fault diagnosis software system.
The casing failure diagnosis software system has the functions of displaying, storing, transmitting and extracting the collected casing state information in real time, and meanwhile, the casing failure diagnosis software system has a casing failure digital feature case library, can compare the extracted feature parameters with the case library, and judges whether the casing fails or not according to the collected information. The bushing digitalized case library template constructed by the bushing fault diagnosis software system comprises the following three information: the method comprises the following steps of sleeve discharge signal digital characteristic information, sleeve discharge spectrogram basic information and sleeve discharge spectrogram statistical operator information. The basic information of the sleeve discharge spectrogram comprises discharge starting phases of positive and negative discharges, discharge extinguishing phases, phase widths, discharge repetition rates, discharge average values, discharge standard deviations, phase gravity centers and other basic information related to the discharges.
The multi-parameter online monitoring system and the casing fault diagnosis software system convert digital signals into optical signals for transmission by adopting optical fibers, have the characteristics of wide frequency band, strong anti-interference capability, low loss and no temperature drift, and are suitable for long-distance high-precision casing state parameter information transmission.
The multi-field coupling virtual simulation model can change simulation conditions in real time according to information transmitted by the casing fault diagnosis software system, the multi-field coupling virtual simulation model and the casing entity run synchronously, and various state parameter information of the casing is output to the fault diagnosis software system. After the state parameters are subjected to characteristic parameter extraction by a fault diagnosis system, the obtained result can enrich the digital characteristic case library of the casing fault.
The calculation of relative dielectric loss and relative capacitance adopts a relative measurement method, which is to select another capacitance type device connected with the tested device in parallel as a reference device. The method comprises the steps of measuring a reference current signal In and a measured current signal Ix respectively through signal sampling units connected In series on end screen (or low-voltage end) grounding wires of two devices, carrying out digital processing such as filtering, amplification and sampling on the two current signals, extracting fundamental wave components respectively by using a harmonic analysis method, and calculating phase difference and amplitude ratio of the fundamental wave components, so as to obtain a relative dielectric loss difference value and a capacitance ratio of the tested device and the reference device, wherein the principle is shown In figure 3.
The calculation of the relative dielectric loss and the relative capacitance is shown in formula (1) and formula (2):
△tanδ＝tanδ 2 -tanδ 1 ≈tan(δ 2 -δ 1 )＝tanα (1)
Cx/Cn＝Ix/In (2)
wherein Δ tan δ is the relative dielectric loss of the casing, δ 1 Is the phase angle, delta, of the leakage current signal 2 Is the phase angle of the reference current signal, alpha is the phase angle between the reference current signal and the leakage current signal; ix is the fundamental amplitude of the leakage current signal, In is the fundamental amplitude of the reference current signal, Cx is the relative capacitance of the device under test, and Cn is the relative capacitance of the reference device.
The acquisition and calculation of relative dielectric loss and the acquisition and calculation of relative capacitance in the operation process of the sleeve comprise the following processes:
(1) acquiring a reference current signal: the end screen (or low-voltage end) of the capacitive equipment is mostly directly grounded in a secondary terminal box on the body of the capacitive equipment or in the equipment, and the grounding current of the capacitive equipment is difficult to directly acquire, so that the grounding of the end screen needs to be improved in advance, a high-precision through-type current transformer is sleeved in a lead wire of the end screen to the ground, the output signal of the current transformer is collected at high speed by using a high-precision data collection card, an analog signal is sequentially converted into a digital signal and an optical signal in a signal collection module, the signal is transmitted to a node near a host machine through an optical fiber, and finally the optical signal is converted into the digital signal and transmitted to the host machine.
(2) Collecting a sleeve leakage current signal: the method is the same as the acquisition method of the reference current signal.
(3) Data acquisition and transmission: the high-precision data acquisition card is used for acquiring the output signals of the current transformer at a high speed, analog signals are sequentially converted into digital signals and optical signals in the signal acquisition module, the signals are transmitted to nodes near a host through optical fibers, and finally the optical signals are converted into the digital signals and transmitted to the host. The optical fiber transmission signal has the characteristics of wide frequency band, strong anti-interference capability, low loss and no temperature drift, and is suitable for long-distance high-precision data transmission.
(4) Analyzing and processing data: the main machine is responsible for the control of the trigger signal, the processing and the analysis of data, analyzes and processes the full digitalization signal, extracts information such as high-precision phase position, amplitude value and the like through Fourier transformation, and further calculates parameters such as relative dielectric loss factor, relative capacitance and the like under power frequency.
The on-line measurement of the partial discharge signal of the sleeve consists of a current sensor, a high-frequency pulse current sensor, an acquisition device and a control cubicle. A current sensor monitors a transformer bushing tap ground current signal in real time; when the discharge in the oil-filled casing occurs, a high-frequency pulse current is generated, the high-frequency pulse current sensor acquires the pulse current, and simultaneously, a high-frequency pulse current signal and a casing end screen leakage current signal are sent to the acquisition device, the acquisition device synchronously acquires two current signals, the high-frequency pulse current signal is used as a mark of the discharge in the oil-filled casing to be recorded, stored and operated, and the casing end screen leakage current signal is used as a phase signal of the discharge in the oil-filled casing to be recorded, stored and operated. An embedded computer in the control cubicle reads the information of the acquisition device through the optical fiber converter at regular time, and performs analysis, operation, storage, forwarding and other operations on the information.
The multi-field coupling virtual simulation model of the casing is established by finite element analysis software. As shown in fig. 4, the transformer bushing model is composed of a conductor 1, a first transformer oil 2, an upper porcelain bushing 3, a flange 4, a lower porcelain bushing 5, a voltage-sharing ball 6, a second transformer oil 7 and oil paper 8. And respectively laying aluminum, oil and other materials on each part according to the structural parameters of the transformer bushing. Wherein the outside of the upper porcelain bushing 3 is in direct contact with the air, so that an air domain entity is manufactured to simulate the air around the outside of the upper porcelain bushing 3; in the same way, the outer part of the lower porcelain bushing 5 is in contact with the first transformer oil 2, and an oil domain entity is required to be manufactured to simulate the second transformer oil 7 around the outer part of the lower porcelain bushing 5.
After the transformer bushing simulation model is established, the multi-field coupling analysis can be carried out on the multi-field coupling virtual simulation model by using CAE software, and the method comprises the following steps:
(1) CAD modeling and material specification. Establishing a CAD model of an object (such as a transformer bushing) to be researched by utilizing a modeling tool carried by CAE software, or modeling and introducing CAE through a general modeling tool; the material properties required for each domain are then assigned and the corresponding source/boundary conditions are applied.
(2) And generating a grid. Most CAE software is based on a gridded algorithm, such as a finite element method. The generation of the grid is very important in equation solution, and the discretization of the calculation domain can avoid the situation that the result is not converged. Generally, aiming at complex engineering problems, a self-contained subdivision process of a CAE software system cannot be adopted (generally, the efficiency is not high), and a proper subdivision sequence needs to be established.
(3) And solving the electric field equation of all the areas. Depending on the bushing rating, the rated voltage for bushing operation is applied to the conductor part of the transformer bushing. Furthermore, the flange region is grounded. At the same time, resistive heat losses are calculated and used as a source in thermal analysis.
(4) The heat transfer equations for all zones are solved. The temperature was calculated by solving the equation shown below:
in the formula: rho, C p And k is density, specific heat and thermal conductivity, respectively. Convective heat transfer is described in terms encompassing u, which is the fluid flow rate. Q is the heat source profile, which consists primarily of resistive heating generated in the internal high voltage conductor, but also a small portion from leakage current flowing through the imperfect insulation.
In addition to the heat sources calculated in the above, boundary conditions should be correctly specified. For the heat transfer area, two convection areas need to be considered, including external natural convection from the flange to the top and the air around the outer wall of the bushing, and external convection from the flange to the bottom of the bushing and the oil tank on the top of the transformer.
(5) And solving structural mechanical equations of all the areas and calculating the stress distribution.
(6) The convergence is checked. In this step, the convergence condition should be checked. Achieving convergence can be challenging due to the low velocity of the fluid. To deal with this problem, a more relaxed convergence criterion for the variation of the parameters should be applied in the solver.
(7) And (5) performing iterative computation. And repeating the steps until the convergence condition is met. I.e. the number of iterations should be high enough to achieve overall computation convergence. It should be noted that for the multi-physics coupling problem, we need to select a suitable algorithm; usually, a direct algorithm is used and matrix preprocessing is performed.
The bushing fault diagnosis software system is based on a Dione development platform architecture, has four communication technologies of an inter-component communication technology CPC, an inter-page communication technology FPC, an inter-process communication protocol IPC and a cross-server remote call RPC, and can meet the multi-scene, multi-channel and multi-level information interaction requirements of the software system and the internal state parameters of the transformer.
The casing failure diagnosis software system integrates the state quantities of all aspects in the casing operation, including the leakage current value, the hydrogen content value, the casing temperature, the partial discharge quantity and the vibration condition. Each detection module draws the change image of each state parameter of the sleeve according to the acquired data, so that the visualization of the data is realized, the operation and maintenance personnel can conveniently and timely judge the running state of the sleeve, the maintenance and the maintenance of the sleeve can be planned, and the judgment and the analysis of the fault reason can be conveniently carried out after the sleeve breaks down.
The invention provides an operation method of a transformer bushing fault diagnosis system based on digital twinning, which comprises the following steps:
the multi-parameter online monitoring system collects relative dielectric loss, relative capacitance and partial discharge signals in the operation process of the sleeve, and transmits the collected operation data to the fault diagnosis software system to realize real-time display;
meanwhile, the multi-field coupling virtual simulation model changes simulation conditions in real time according to information transmitted by the fault diagnosis software system, and the typical fault of the sleeve is set in the multi-field coupling virtual simulation model to obtain running data under the fault, so that a sleeve digital feature case library is enriched, and the fault diagnosis of the sleeve is realized.
The invention provides a transformer bushing fault diagnosis system based on digital twinning, which comprises a multi-parameter online monitoring system, a multi-field coupling virtual simulation model and a fault diagnosis software system. The multi-parameter online monitoring system arranged on the sleeve acquires oil temperature, oil pressure, micro water, relative dielectric loss, relative capacitance and partial discharge signals of the sleeve and transmits the signals to the fault diagnosis software system. And the fault diagnosis software system displays the received information in real time, stores and extracts the characteristic parameters in the information, compares the characteristic parameters with a digital characteristic case library of the casing fault, and diagnoses the casing fault. The fault diagnosis software system can also transmit information to the multi-field coupling virtual simulation model, and the conditions of the simulation model are modified in real time according to the transmitted information to obtain a practical sleeve simulation calculation result. Meanwhile, the sleeve state parameter information generated by the simulation model can also be transmitted to a fault diagnosis software system, and the characteristic parameter processing is carried out through the fault diagnosis software system so as to enrich the digital characteristic case library of the sleeve fault.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and those skilled in the art can make various modifications and variations. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A transformer bushing fault diagnosis system based on digital twinning is characterized by comprising a multi-parameter online monitoring system, a multi-field coupling virtual simulation model and a fault diagnosis software system; the output port of the multi-parameter online monitoring system is connected with the first input port of the fault diagnosis software system; the output port of the multi-field coupling virtual simulation model is connected with the second input port of the fault diagnosis software system; the input port of the multi-field coupling virtual simulation model is connected with the output port of the fault diagnosis software system;
the multi-parameter online monitoring system is arranged on the entity casing and is used for acquiring relative dielectric loss, relative capacitance and local discharge signals in the casing running process in real time and transmitting the acquired data to the fault diagnosis software system;
the multi-field coupling virtual simulation model is used for simulating the conditions of the electric field, the temperature field and the stress distribution of the sleeve in real time and changing the simulation conditions in real time according to the information transmitted by the fault diagnosis software system;
the casing failure diagnosis software system is used for displaying, storing, transmitting and extracting the collected casing state information in real time, forming a casing failure digital feature case library and realizing the casing failure diagnosis.
2. The digital twin-based transformer bushing fault diagnosis system of claim 1, wherein the multi-parameter online monitoring system comprises a composite sensor, a collector and an industrial personal computer;
the composite sensor comprises a first sensor arranged at the oil taking port of the sleeve and a second sensor arranged at the end screen of the sleeve; the collector and the industrial personal computer are both arranged in the control cubicle;
the collector is electrically connected with the composite sensor; the collector converts the collected signal data into digital signals and transmits the digital signals to the industrial personal computer through optical fibers, and the industrial personal computer is used for transmitting the data to the fault diagnosis software system.
3. The digital twin-based transformer bushing fault diagnosis system of claim 2, wherein six sensors and three collectors are mounted on the bushing, and the three collectors are triggered synchronously.
4. The digital twin-based transformer bushing fault diagnosis system according to claim 1, wherein the multi-field coupling virtual simulation model is built by finite element analysis software according to a real structure of the bushing.
5. The digital twin-based transformer bushing fault diagnosis system of claim 1, wherein a CAE software is used to perform multi-field coupling analysis on the multi-field coupling virtual simulation model.
6. The digital twin-based transformer bushing fault diagnosis system of claim 1, wherein an optical fiber is adopted between the multi-parameter online monitoring system and the fault diagnosis software system to convert digital signals into optical signals for transmission.
7. The digital twin-based transformer bushing fault diagnosis system of claim 1, wherein the calculation of the relative dielectric loss and the relative capacitance is performed by a relative measurement method, wherein the relative measurement method is to select an additional capacitance-type device connected in parallel with the tested device as a reference device.
8. The digital twin based transformer bushing fault diagnosis system according to claim 7, wherein the calculation of relative dielectric loss and relative capacitance is as shown in formula (1) and formula (2):
Δtanδ＝tanδ 2 -tanδ 1 ≈tan(δ 2 -δ 1 )＝tanα (1)
Cx/Cn＝Ix/In (2)
where Δ tan δ is the relative dielectric loss of the casing, δ 1 Is the phase angle, delta, of the leakage current signal 2 Is the phase angle of the reference current signal, alpha is the phase angle between the reference current signal and the leakage current signal; ix is the fundamental amplitude of the leakage current signal, In is the fundamental amplitude of the reference current signal, Cx is the relative capacitance of the device under test, and Cn is the relative capacitance of the reference device.
9. The digital twin-based transformer bushing fault diagnosis system of claim 1, wherein the fault diagnosis software system is based on a zone development platform architecture;
the case base of the sleeve failure digital characteristic comprises sleeve discharge signal digital characteristic information, sleeve discharge spectrogram basic information and sleeve discharge spectrogram statistical operator information.
10. The operation method of the digital twin-based transformer bushing fault diagnosis system is adopted, and the method is characterized by comprising the following steps of:
the multi-parameter online monitoring system collects relative dielectric loss, relative capacitance and partial discharge signals in the operation process of the sleeve, and transmits the collected operation data to the fault diagnosis software system to realize real-time display;
meanwhile, the multi-field coupling virtual simulation model changes simulation conditions in real time according to information transmitted by the fault diagnosis software system, and the typical fault of the sleeve is set in the multi-field coupling virtual simulation model to obtain running data under the fault, so that a sleeve digital feature case library is enriched, and the fault diagnosis of the sleeve is realized.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115659799A (en) * | 2022-10-24 | 2023-01-31 | 国网浙江省电力有限公司电力科学研究院 | Lithium battery energy storage power station fault diagnosis method with threshold self-adaption function |
| CN115932476A (en) * | 2022-12-12 | 2023-04-07 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twinning, electronic equipment and medium |
| CN117591943A (en) * | 2024-01-18 | 2024-02-23 | 搏世因（北京）高压电气有限公司 | Sleeve monitoring self-diagnosis intelligent data processing system |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115659799A (en) * | 2022-10-24 | 2023-01-31 | 国网浙江省电力有限公司电力科学研究院 | Lithium battery energy storage power station fault diagnosis method with threshold self-adaption function |
| CN115932476A (en) * | 2022-12-12 | 2023-04-07 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twinning, electronic equipment and medium |
| CN115932476B (en) * | 2022-12-12 | 2023-08-29 | 触景无限科技（北京）有限公司 | Fault positioning method and device based on digital twin, electronic equipment and medium |
| CN117591943A (en) * | 2024-01-18 | 2024-02-23 | 搏世因（北京）高压电气有限公司 | Sleeve monitoring self-diagnosis intelligent data processing system |
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