CN111006579A - Transformer online winding deformation diagnosis method, system and equipment - Google Patents
Transformer online winding deformation diagnosis method, system and equipment Download PDFInfo
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- CN111006579A CN111006579A CN201911382920.3A CN201911382920A CN111006579A CN 111006579 A CN111006579 A CN 111006579A CN 201911382920 A CN201911382920 A CN 201911382920A CN 111006579 A CN111006579 A CN 111006579A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
- G01B7/24—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge using change in magnetic properties
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/02—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by magnetic means, e.g. reluctance
- G01H11/04—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by magnetic means, e.g. reluctance using magnetostrictive devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The invention discloses a method, a system and equipment for diagnosing deformation of an online winding of a transformer, wherein the method comprises the following steps: analyzing the vibration characteristics of the transformer; drawing a relation curve of the transformer vibration and the load current according to the analysis result of the vibration characteristic; and judging whether the winding is deformed or not according to the linear degree of the relation curve of the transformer vibration and the load current. According to the embodiment of the invention, the change of the characteristic of the vibration frequency of the transformer can be extracted by detecting the vibration characteristics of the transformer before and after the fault condition of the transformer, and the online diagnosis of the deformation of the transformer winding is realized by the relation curve of the transformer vibration and the load current.
Description
Technical Field
The invention relates to the technical field of transformer diagnosis, in particular to a transformer on-line winding deformation diagnosis method, system and equipment.
Background
At present, a transformer is one of the main devices of an electric power system, and plays a pivotal role in grid interconnection and power exchange. When the transformer is subjected to short circuit impact or transportation collision and other factors, the transformer winding can deform under the action of electric force or mechanical force, and the deformation types are mainly three: (1) axial deformation, wherein the damage mainly comprises axial deformation of a transformer winding under the action of axial electromagnetic force generated by radial leakage flux, including vertical bending deformation of a coil, collapse of the winding or the coil, and unfolding of a pressing plate by lifting of the winding; (2) radial deformation, wherein the damage mainly comprises the radial deformation of a transformer winding under the action of radial electromagnetic force generated by radial magnetic leakage, and comprises insulation damage caused by the extension of an outer winding lead, up-and-down bending deformation of a coil, overturning deformation of the end part of a winding, and bending or warping of an inner winding lead; (3) the fixed lead is deformed, and the damage is mainly caused by the lead vibration under the action of electromagnetic force among the leads, so that the fixing and supporting structures of the leads collapse, and further, the interphase short circuit is caused, and the like, which is rare.
The transformer vibration in operation mainly comprises iron core vibration, winding vibration, vibration during the action of the on-load tap-changer and vibration of a cooling system. The vibration frequency of the transformer cooling device is usually less than 100Hz, and the vibration signals of the transformer cooling system can be effectively identified and filtered by means of a digital signal method, compared with the body vibration of the iron core and the winding and the vibration characteristics during the switching process of the on-load tap-changer. The transient vibration frequency in the OLTC switching process is higher, generally in the kHz magnitude, and is high-frequency vibration relative to the body vibration, so that the vibration monitoring influence on the normally-running transformer is limited. The body vibration of the transformer is characterized by a fundamental frequency of 100Hz with other higher harmonic components. The main vibration causes can be summarized as follows:
(1) core vibrations caused by magnetostriction. Because the transformer iron core is generally formed by laminating silicon steel sheets, according to the inherent characteristics of ferromagnets, when the silicon steel sheets are excited, the size of the silicon steel sheets along the direction of magnetic lines of force is increased, the size of the silicon steel sheets perpendicular to the direction of the magnetic lines of force is reduced, and the periodic telescopic deformation of the silicon steel sheets caused by exciting current is called magnetostriction, so that the iron core is vibrated;
(2) load current passes through the windings of the running transformer, and the current can generate dynamic electromagnetic force among high-voltage and low-voltage windings, among wire cakes and among wire turns of the windings in a leakage magnetic field environment, so that the vibration of the windings is caused; the winding vibrations are mainly due to the electromagnetic forces of the leakage fields on the current carrying conductors, in particular strong electrodynamic forces which occur when the current increases sharply in the winding in the event of a short circuit fault. Under the action of strong electrodynamic impact, the winding is easy to loosen and deform. Axial vibration and radial vibration of the winding are respectively caused by axial electromagnetic force and radial electromagnetic force generated by the action of radial components and axial components of leakage magnetic flux and load current in the winding. The axial electrodynamic force enables the winding to be compressed from two ends to the middle in the axial direction, and the mechanical stress caused by the axial force can influence the longitudinal insulation strength of the winding, destroy the mechanical stability between the windings and the inter-turn short circuit, and easily cause the faults of winding deformation, inter-turn short circuit and the like; the radial electric force expands or compresses the winding, affects the radial stability of the winding, causes insulation damage between phases, and can cause serious distortion and deformation of the winding and even wire breakage under extreme conditions.
(3) In the iron core pressing process, certain gaps exist between the joints of the silicon steel sheets and the laminated sheets, so that magnetic leakage exists, and the generated electromagnetic attraction causes the vibration of the iron core;
(4) the leakage flux causes vibration of the tank wall (including magnetic shielding, etc.). The vibrations may propagate to the transformer tank through a variety of ways. The vibration of the winding is transmitted to the wall of the oil tank through the iron core and the insulating oil, and the vibration of the iron core is transmitted to the oil tank through the insulating oil, a supporting piece between the insulating oil and the oil tank and fixed connection (such as a fastening bolt and the like). For transformers with cooling devices, vibrations generated by the operation of the cooling devices will also propagate through the support and the connection to the transformer tank.
At present, the method for detecting the deformation fault of the transformer winding by the traditional technology mainly comprises the following steps: (1) short circuit impedance method; (2) frequency response method; (3) a swept frequency impedance method. However, the above methods require power failure operation when detecting the transformer, which causes a certain economic loss.
In summary, when the prior art detects the deformation fault of the transformer winding, there is a technical problem that the power needs to be cut off.
Disclosure of Invention
The invention provides a method, a system and equipment for diagnosing deformation of an online winding of a transformer, which solve the technical problem that power failure is needed when deformation faults of the winding of the transformer are detected in the prior art.
The invention provides a transformer on-line winding deformation diagnosis method, which comprises the following steps:
step S1: analyzing the vibration characteristics of the transformer;
step S2: drawing a relation curve of the transformer vibration and the load current according to the analysis result;
step S3: and judging whether the winding is deformed or not according to the linearity degree of the relation curve.
Preferably, the vibration characteristics of the transformer include core vibration and winding vibration.
Preferably, in step S1, the analysis result of the core vibration is: the iron core vibration acceleration signal and the square of the primary side voltage of the winding are in a linear relation, and the fundamental frequency of the iron core vibration acceleration signal is twice of the fundamental frequency of the excitation voltage.
Preferably, in step S1, the step of analyzing the winding vibration is as follows:
step S101: establishing a viscoelastic dynamic model of a winding wire cake of the transformer;
step S102: simplifying a viscoelastic dynamic model of a winding wire cake of the transformer to obtain an equivalent spring-mass mechanical model of the transformer winding;
step S103: and solving the equivalent spring-mass mechanics model of the transformer winding to obtain a relation curve of the winding vibration acceleration and the load current.
Preferably, in step S103, the winding vibration acceleration signal is linear with the square of the load current flowing through the winding, and the fundamental frequency of the winding vibration acceleration signal is twice the fundamental frequency of the load current.
Preferably, in step S3, the slope of the square of the load current and the vibration signal at 100HZ in the relation curve between the transformer vibration and the load current is determined, and if both are linearly related, it is determined that the transformer winding is not deformed, and if both are not linearly related, it is determined that the transformer winding is deformed.
Preferably, in step S3, the slope of the vibration signal of the three phases of the transformer winding at 100HZ and the square of the load current is analyzed.
A transformer online winding deformation diagnosis system comprises a transformer vibration characteristic acquisition module, a data analysis module and a curve drawing module;
the transformer vibration characteristic acquisition module is used for acquiring vibration characteristics of the transformer;
the curve drawing module is used for drawing a relation curve of the transformer vibration and the load current;
the data analysis module is used for analyzing the vibration characteristics of the transformer and judging the shape of the relation curve.
Preferably, the system further comprises a storage module, and the storage module is used for storing data of the transformer vibration characteristic acquisition module, the data analysis module and the curve drawing module.
A transformer on-line winding deformation diagnosis device comprises a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the transformer online winding deformation diagnosis method according to the instructions in the program codes.
According to the technical scheme, the invention has the following advantages:
the invention can extract the characteristic change of the transformer vibration frequency by detecting the vibration characteristics of the transformer before and after the fault condition, and realizes the online diagnosis of the transformer winding deformation by the relation curve of the transformer vibration and the load current.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of a method, a system, and an apparatus for diagnosing deformation of an online winding of a transformer according to an embodiment of the present invention.
Fig. 2 is a system structure diagram of a transformer on-line winding deformation diagnosis method, system and device according to an embodiment of the present invention.
Fig. 3 is a device structure diagram of a transformer on-line winding deformation diagnosis method, system and device according to an embodiment of the present invention.
Fig. 4 is a structural diagram of a transformer winding coil visco-elastic dynamic model of a transformer winding coil deformation diagnosis method, system and apparatus according to an embodiment of the present invention.
Fig. 5 is a transformer winding equivalent spring-mass mechanical model of a transformer winding deformation diagnosis method, system and apparatus according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating the relationship between 100Hz component and applied current of a phase vibration signal of an undeformed transformer after the disassembly of a transformer online winding deformation diagnostic method, system and apparatus according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating the relationship between the 100Hz component of the b-phase vibration signal and the applied current of the undeformed transformer after the disassembly of the on-line winding deformation diagnostic method, system and apparatus for the transformer according to the embodiment of the present invention;
fig. 8 is a diagram illustrating the relationship between the 100Hz component of the c-phase vibration signal and the applied current of the undeformed transformer after the disassembly of the on-line winding deformation diagnostic method, system and apparatus for the transformer according to the embodiment of the present invention.
Fig. 9 is a graph showing a relationship between a vibration signal and an applied current of a transformer with winding deformation after the on-line winding deformation diagnosis method, system and device of the transformer according to the embodiment of the present invention are disassembled.
Fig. 10 is a detailed flowchart of a method S1 of the transformer online winding deformation diagnosis method, system and apparatus according to the embodiment of the invention.
Detailed Description
The embodiment of the invention provides a method, a system and equipment for diagnosing deformation of an on-line winding of a transformer, which are used for solving the technical problem that power failure is needed when deformation faults of the winding of the transformer are detected in the prior art.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
By detecting the vibration frequency change before and after the transformer fault condition, the characteristic quantity change of the transformer vibration frequency can be extracted, so that the online diagnosis of the transformer winding deformation is realized.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for diagnosing deformation of an on-line winding of a transformer according to an embodiment of the present invention.
The invention provides a transformer on-line winding deformation diagnosis method, which comprises the following steps:
step S1: analyzing the vibration characteristics of the transformer to obtain the relationship characteristics between the vibration characteristics and the voltage current of the transformer winding;
step S2: drawing a relation curve of the transformer vibration and the load current according to the obtained relation characteristics of the vibration characteristics and the voltage current of the transformer winding;
step S3: and judging whether the winding is deformed or not according to the linearity degree of the relation curve.
As a preferred embodiment, the vibration characteristics of the transformer include core vibration and winding vibration.
As a preferred embodiment, in step S1, the analysis process of the core vibration is as follows:
the core vibration is mainly dependent on the magnetostriction of the silicon steel sheets. The vibration acceleration of the core vibration caused by magnetostriction is:
wherein N is1Is the number of turns of the primary side of the transformer, and the AC voltage applied to the primary side of the transformer is u1＝V0sin ω t, A is the sectional area of the core, BsIs the saturation magnetic induction of the iron core, epsilonsThe saturation magnetostriction ratio of the silicon steel sheet is L, the original size of the iron core silicon steel sheet is L, and the maximum deformation amount of the iron core silicon steel sheet is Delta L.
According to the formula, the iron core vibration acceleration signal and the square of the primary side voltage of the winding are in a linear relation, and the fundamental frequency of the iron core vibration acceleration signal is twice of the fundamental frequency of the excitation voltage.
As a preferred embodiment, in step S1, the step of analyzing the winding vibration is as follows:
as shown in fig. 10, step S101: the method comprises the following steps of establishing a transformer winding wire cake viscoelasticity dynamic model, and specifically comprising the following steps:
the coil of the transformer can be seen as being formed by copper wire sections separated by insulating spacers and is tightly pressed and fixed by iron yokes at the upper end part and the lower end part. When electromagnetic force acts on the coil, the transformer coil is in a dynamic process, and can be regarded as a mechanical system consisting of solid line segments in viscoelastic connection, wherein a certain coil cake can be represented by a viscoelastic dynamic model, as shown in fig. 4. In FIG. 4, F (t) is the electromagnetic force applied to the line cake unit, X (t) represents the displacement of the line cake unit relative to its original position, KsFor the static stiffness of the spacers between the wire cake units, KvFor viscoelastic stiffness, R is the damping coefficient associated with transformer oil.
Step S102: simplifying a viscoelastic dynamic model of a winding wire cake of the transformer to obtain an equivalent spring-mass mechanical model of the transformer winding;
according to the structural characteristics of the transformer winding, the rigidity of the iron core is infinite, the pressing plate is rigid, the wire cake is concentrated in mass, and the insulating cushion block and the end ring are elastic elements. Due to the fact that the viscoelastic rigidity K isvThe damping coefficient is small compared to that of transformer oil, so the visco-elastic dynamic model in fig. 4 can be simplified to that shown in fig. 5. In fig. 5, it is assumed that each cake of the winding has a uniform vibration parameter ifThe wire cakes are represented by a concentrated mass M and the cushion blocks between the wire cakes have a stiffness KYInstead of the spring, K is used as an insulating spacer at the end of the coil for separating the coil from the holding-down deviceYBAnd KYTInstead, the damping coefficient associated with transformer oil is CY。
Step S103: and solving the equivalent spring-mass mechanics model of the transformer winding to obtain a relation curve of the winding vibration acceleration and the load current.
According to newton's law, the equation of motion for the transformer winding can be written as:
in the formula: y isiDisplacement of the ith unit relative to the home position; cYDamping coefficients associated with the transformer oil and the windings themselves; kYT、KYB、KYThe rigidity coefficients of the wire cake, the insulating cushion block and the pressing plate are respectively set;
the electromagnetic force to which the ith unit is subjected; mg is the collective weight of the units; md2YiThe/dt is the inertial force to which the ith unit is subjected; cYdY/dt is the elastic force to which the ith cell is subjected.
Assuming equal transformer winding movement, i.e.
And the electrodynamic force expression of the normal operation of the transformer is brought into formula (1), then
In the formula (I), the compound is shown in the specification,
{Y}＝(Y1Y2… Yn)T，
Bryfor each unit magnetic field magnitude, IkIs the magnitude of the current flowing.
In the formula YiDisplacement of the ith unit relative to the home position; cYDamping coefficients related to the transformer oil and the winding itself; kYT、KYB、KYThe rigidity coefficients of the wire cake, the insulating cushion block and the pressing plate are respectively set;
the electromagnetic force to which the ith cell is subjected.
The winding displacement Y (t) obtained by solving the formula (2) is
In the formula (I), the compound is shown in the specification,
Ψ to be part of the system which is solely dependent on its own characteristicsYIs a constant; a. theYAnd θ is an integration constant that can be calculated from the initial conditions.
The displacement change of the winding is subjected to twice derivative calculation, and the acceleration expression of the coil vibration can be obtained
In the formula: b is a constant number, IkTo flow a load current through the winding.
As a preferred embodiment, in step S103, the winding vibration acceleration signal has a linear relationship with the square of the load current flowing through the winding, and the fundamental frequency of the winding vibration acceleration signal is twice the fundamental frequency of the load current.
As a preferred embodiment, in step S3, the slope of the square of the load current and the vibration signal at 100HZ in the relation curve between the transformer vibration and the load current is determined, and if the two are linearly related, it is determined that the transformer winding is not deformed, and if the two are not linearly related, it is determined that the transformer winding is deformed.
As a preferred embodiment, in step S3, the slope of the vibration signal of the three phases of the transformer winding at 100HZ and the square of the load current is analyzed.
From the above results, it can be known that the vibration characteristics of the transformer are related to the primary voltage of the winding and the load current. And transformer winding vibration is linearly related to the transformer load current. Since the reasoning above ignores some of the factors, it is verified on the solid model.
The transformer load test includes high-to-high and high-to-low. 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100% rated currents are applied to the high-voltage sides of the plurality of transformers respectively to perform tests, and the square relation between the 100Hz component of the vibration signal and the applied load current is obtained as shown in FIGS. 6, 7, 8 and 9, and FIG. 6 is the relation between the 100Hz component of the a-phase vibration signal of the undeformed transformer and the applied current after disassembly; FIG. 7 is a diagram showing the relationship between 100Hz component and applied current of b-phase vibration signal of an undeformed transformer after disassembly; FIG. 8 is a graph showing the relationship between the 100Hz component of the c-phase vibration signal of the undistorted transformer and the applied current after disassembly. FIG. 9 is a graph of vibration signal versus applied current for a transformer with windings after disassembly. The theoretical derivation and the test result show that: (1) the 100Hz component of the transformer box wall vibration signal with the undeformed winding has better linear correlation with the square of the load current; (2) after the winding is deformed, the 100Hz component and the square slope of the load current are obviously changed. Therefore, the winding state can be judged according to the linear relation between the transformer box wall vibration signal 100Hz and the square of the load current.
Referring to fig. 2, fig. 2 is a system structure diagram of a transformer on-line winding deformation diagnosis method according to an embodiment of the present invention.
A transformer online winding deformation diagnosis system comprises a transformer vibration characteristic acquisition module 401, a data analysis module 402 and a curve drawing module 403;
the transformer vibration characteristic acquisition module 401 is configured to acquire vibration characteristics of a transformer;
the curve drawing module 403 is configured to draw a relationship curve between transformer vibration and load current;
the data analysis module 402 is configured to analyze vibration characteristics of the transformer and determine a shape of the relationship curve.
As a preferred embodiment, the system further includes a storage module, and the storage module is configured to store data of the transformer vibration characteristic obtaining module, the data analyzing module, and the curve plotting module.
Referring to fig. 3, fig. 3 is a structural diagram of an apparatus for diagnosing deformation of an on-line winding of a transformer according to an embodiment of the present invention.
A transformer on-line winding deformation diagnostic apparatus 50, the apparatus comprising a processor 500 and a memory 501;
the memory 501 is used for storing a program code 502 and transmitting the program code 502 to the processor 500;
the processor 500 is configured to execute a transformer online winding deformation diagnosis method according to instructions in the program code 502, such as steps S1 to S3 shown in fig. 1.
Illustratively, the computer program 502 may be partitioned into one or more modules/units that are stored in the memory 501 and executed by the processor 500 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 502 in the terminal device 50. For example, the computer program 502 may be segmented to include a transformer vibration characteristic acquisition module, a data analysis module, and a curve plotting module;
the transformer vibration characteristic acquisition module is used for acquiring vibration characteristics of the transformer;
the curve drawing module is used for drawing a relation curve of the transformer vibration and the load current;
the data analysis module is used for analyzing the vibration characteristics of the transformer and judging the shape of the relation curve.
The terminal device 50 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor 500, a memory 501. Those skilled in the art will appreciate that fig. 3 is merely an example of a terminal device 50 and is not intended to limit terminal device 50 and may include more or fewer components than shown, or some components may be combined, or different components, for example, the terminal device may also include input-output devices, network access devices, buses, etc.
The Processor 500 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 501 may be an internal storage unit of the terminal device 50, such as a hard disk or a memory of the terminal device 50. The memory 501 may also be an external storage device of the terminal device 50, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the terminal device 50. Further, the memory 501 may also include both an internal storage unit and an external storage device of the terminal device 50. The memory 501 is used for storing the computer program and other programs and data required by the terminal device. The memory 501 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and in actual implementation, there may be other divisions, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a hardware form, and can also be realized in a software functional unit form.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A transformer online winding deformation diagnosis method is characterized by comprising the following steps:
step S1: analyzing the vibration characteristics of the transformer;
step S2: drawing a relation curve of the transformer vibration and the load current according to the analysis result of the vibration characteristic;
step S3: and judging whether the winding is deformed or not according to the linear degree of the relation curve of the transformer vibration and the load current.
2. The method of claim 1, wherein the vibration characteristics of the transformer include core vibration and winding vibration.
3. The method for diagnosing the deformation of the on-line winding of the transformer as claimed in claim 2, wherein in step S1, the analysis result of the core vibration is: the iron core vibration acceleration signal and the square of the primary side voltage of the winding are in a linear relation, and the fundamental frequency of the iron core vibration acceleration signal is twice of the fundamental frequency of the excitation voltage.
4. The method for diagnosing the deformation of the on-line winding of the transformer as claimed in claim 2, wherein in step S1, the step of analyzing the winding vibration is as follows:
step S101: establishing a viscoelastic dynamic model of a winding wire cake of the transformer;
step S102: simplifying a viscoelastic dynamic model of a winding wire cake of the transformer to obtain an equivalent spring-mass mechanical model of the transformer winding;
step S103: and solving the equivalent spring-mass mechanics model of the transformer winding to obtain a relation curve of the winding vibration acceleration and the load current.
5. The method according to claim 4, wherein in step S103, the winding vibration acceleration signal is linear with the square of the load current flowing through the winding, and the fundamental frequency of the winding vibration acceleration signal is twice the fundamental frequency of the load current.
6. The method as claimed in claim 5, wherein in step S3, the slope of the square of the 100HZ component of the vibration signal and the load current in the relation curve of the transformer vibration and the load current is determined, if the two are linearly related, the transformer winding is determined not to be deformed, and if the two are not linearly related, the transformer winding is determined to be deformed.
7. The method as claimed in claim 6, wherein in step S3, the slope of the vibration signal of the three phases of the transformer winding at 100HZ and the square of the load current is analyzed.
8. The system is characterized by comprising a transformer vibration characteristic acquisition module, a data analysis module and a curve drawing module;
the transformer vibration characteristic acquisition module is used for acquiring vibration characteristics of the transformer;
the curve drawing module is used for drawing a relation curve of the transformer vibration and the load current;
the data analysis module is used for analyzing the vibration characteristics of the transformer and judging the shape of the relation curve.
9. The system of claim 8, further comprising a storage module for storing data from the transformer vibration characteristic acquisition module, the data analysis module, and the curve plotting module.
10. The transformer on-line winding deformation diagnosis equipment is characterized by comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is used for executing the transformer online winding deformation diagnosis method according to any one of claims 1 to 7 according to instructions in the program code.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596153A (en) * | 2020-05-18 | 2020-08-28 | 缤谷电力科技（上海）有限公司 | GIS mechanical fault positioning method and system based on vibration detection |
| CN112033626A (en) * | 2020-08-06 | 2020-12-04 | 西安交通大学 | Method, device, equipment and medium for detecting vibration transfer characteristics of transformer body |
| CN112287583A (en) * | 2020-10-29 | 2021-01-29 | 广东电网有限责任公司电力科学研究院 | Noise simulation prediction method for transformer |
| CN113532535A (en) * | 2021-07-21 | 2021-10-22 | 国网江苏省电力有限公司宜兴市供电分公司 | Power transformer winding state judgment method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111596153A (en) * | 2020-05-18 | 2020-08-28 | 缤谷电力科技（上海）有限公司 | GIS mechanical fault positioning method and system based on vibration detection |
| CN112033626A (en) * | 2020-08-06 | 2020-12-04 | 西安交通大学 | Method, device, equipment and medium for detecting vibration transfer characteristics of transformer body |
| CN112287583A (en) * | 2020-10-29 | 2021-01-29 | 广东电网有限责任公司电力科学研究院 | Noise simulation prediction method for transformer |
| CN112287583B (en) * | 2020-10-29 | 2021-10-19 | 广东电网有限责任公司电力科学研究院 | Noise simulation prediction method for transformer |
| CN113759188A (en) * | 2021-07-02 | 2021-12-07 | 国网河北省电力有限公司电力科学研究院 | Parallel reactor fault detection method and device and terminal |
| CN113532535A (en) * | 2021-07-21 | 2021-10-22 | 国网江苏省电力有限公司宜兴市供电分公司 | Power transformer winding state judgment method |
| CN113532535B (en) * | 2021-07-21 | 2024-03-15 | 国网江苏省电力有限公司宜兴市供电分公司 | Power transformer winding state judging method |
| CN114485379A (en) * | 2022-01-27 | 2022-05-13 | 重庆电子工程职业学院 | Transformer winding on-line monitoring method |
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