CN110645887A - Winding deformation judgment method based on short-circuit reactance - Google Patents
Winding deformation judgment method based on short-circuit reactance Download PDFInfo
- Publication number
- CN110645887A CN110645887A CN201910991376.6A CN201910991376A CN110645887A CN 110645887 A CN110645887 A CN 110645887A CN 201910991376 A CN201910991376 A CN 201910991376A CN 110645887 A CN110645887 A CN 110645887A
- Authority
- CN
- China
- Prior art keywords
- winding
- transformer
- deformation
- frequency
- short
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
Abstract
The invention discloses a winding deformation judgment method based on short-circuit reactance, which comprises the following steps: step one, building a winding equivalent circuit model; step two, establishing a winding system parameter identification technology; step three, obtaining the relation between the parameter change of the winding system and the fault factor; step four, intelligently detecting the deformation of the winding; in the first step, a winding equivalent circuit model is created according to the requirement of detecting the winding deformation judgment, and the influence rule of the physical form of the winding on the distribution parameters such as the winding RLC and the like is analyzed; the sweep frequency impedance method is a novel transformer winding deformation testing method, well combines the characteristics of testing methods in the market, has a great breakthrough in the testing principle, and has the advantages of simple and portable testing equipment, high sensitivity, clear criteria and the like; by using the method, the frequency sweep impedance curve and the short circuit impedance value of the transformer can be obtained through one-time test, and the error caused by multiple wiring is effectively reduced.
Description
Technical Field
The invention relates to the technical field of winding deformation judgment, in particular to a winding deformation judgment method based on short-circuit reactance.
Background
Among various devices in the power system, the power transformer is a relatively expensive and important junction device, and the reliability of the operation thereof is directly related to the safety and stability of the whole power system. The average of imported 250MVA/500kV transformers is about $ 133 ten thousand per transformer, and the average of the imported 250MVA/500kV transformers is about 1000 ten thousand yuan per transformer in the same specification of China. If an accident occurs during the operation of a large power transformer, large-area power failure may be caused, the maintenance period of the large power transformer is generally more than half a year, the cost is high, and the influence range is wide.
The annual statistics on transformers show that the winding is one of the most faulty components. According to statistics, the damage accidents caused by external short-circuit faults of 110kV and above power transformers in China reach 50% of the total number of accidents, and most of the accidents are caused by winding deformation from the condition of disintegration inspection. Taking 2007 as an example, the reliability statistical data of 282 power supply enterprises and 213 power plants in China shows that the unplanned outage time caused by winding faults accounts for a large proportion. Therefore, the research on the deformation of the transformer winding has been a hot problem of domestic and foreign research, and corresponding instruments and equipment are also infinite, and at present, the main methods include: short-circuit reactance method, low-voltage pulse method, frequency response method, etc. And among them, the most widely used are the short-circuit reactance method and the frequency response method. The short-circuit reactance method has definite criterion, but has poor anti-interference performance and can not diagnose the fault type and position; the frequency response method is sensitive in measurement and good in anti-interference performance, but the criterion is not clear, and more practical experience is needed for diagnosis. The two methods are combined to be applied to winding deformation detection at home and abroad, but respective instruments and equipment are still adopted, the testing process is complicated, and the diagnosis results of the two methods are not well combined to judge the winding condition. In recent years, a frequency sweep impedance method which integrates a short circuit reactance method and a frequency response method is more and more widely applied to detection of winding deformation.
At present, the criteria of detecting the deformation of the transformer winding by the sweep frequency impedance method are unclear, and the experience of testers is also seriously depended on. In order to find the accident potential of the transformer in time, avoid sudden accidents and improve the safety and reliability of the operation of the transformer, the research of developing the intelligent detection technology of the transformer winding deformation based on the sweep frequency impedance curve identification has very important significance.
Disclosure of Invention
The present invention is directed to a method for determining winding deformation based on short-circuit reactance, so as to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a winding deformation judgment method based on short-circuit reactance comprises the following steps: step one, building a winding equivalent circuit model; step two, establishing a winding system parameter identification technology; step three, obtaining the relation between the parameter change of the winding system and the fault factor; step four, intelligently detecting the deformation of the winding;
in the first step, a winding equivalent circuit model is created according to the requirement of detecting the winding deformation judgment, and the influence rule of the physical form of the winding on the distribution parameters such as the winding RLC and the like is analyzed;
in the second step, based on the winding equivalent circuit model in the first step, analyzing a basic function form of a frequency-sweeping impedance system of the transformer winding, a frequency-sweeping impedance curve acquisition technology and influence factors, and further establishing a winding system parameter identification technology of the frequency-sweeping impedance curve;
in the third step, based on the winding system parameter identification technology in the second step, analyzing the influence factors and the change rule of the winding circuit parameters to obtain the relation between the winding system parameter change and the factors such as fault type, deformation position and deformation degree, establishing the corresponding relation between the deformation position of the typical transformer winding and input (excitation) and output (response) values by adopting a finite element analysis method and combining the sweep frequency impedance curve relation obtained in the second step, and establishing a database of the input (excitation) and output (response) values at each deformation position of the typical transformer winding;
in the fourth step, the winding deformation is intelligently detected based on the winding system parameter identification technology of the frequency-sweep impedance curve in the second step and a system established based on the relation between the winding system parameter change and the fault factors in the third step, the frequency-sweep impedance curve data of the typical transformer and the database of the winding deformation position are compared with the data value and the reactance change rate measured in the field, the deformation position of the field transformer winding is determined, and whether the field transformer winding is deformed or not is judged.
According to the technical scheme, in the second step, the frequency sweeping impedance can be obtained by applying a stable sine wave frequency sweeping signal (usually 1-1000 kHz) to one end of the tested transformer, simultaneously recording the voltage amplitude and the phase angle of the end and the other end, and processing to obtain a group of frequency response curves H (j omega) of the tested transformer; if the frequency scanning signal comprises a power frequency component of 50Hz, the short-circuit reactance of the transformer can be calculated according to the signals of the primary side and the secondary side; obtaining a frequency sweep impedance curve and a short circuit impedance value of the transformer; the input (excitation) and the output (response) can be established into a corresponding functional relation and drawn into a sweep impedance curve.
According to the technical scheme, in the third step, a voltage transformer and a current transformer are respectively arranged on the lines of the input ends of each phase of the transformer; and (2) respectively installing a voltage transformer and a current transformer on the lines of the output ends of each phase of the transformer, calculating the reactance of the transformer according to the corresponding functional relation in the step two by using the detected input and output voltages and currents, comparing the calculated real-time reactance of the line with the standard reactance by using a worker so as to judge whether the transformer winding is deformed, collecting big data of the reactance of the transformer winding after each part is deformed, obtaining the relation between the parameter change of the winding system and factors such as fault type, deformation position and deformation degree, and establishing a system model.
According to the technical scheme, in the fourth step, the short-circuit impedance value is calculated through the input and output voltage and current of the transformer to be detected and the winding equivalent circuit system model technology, a frequency sweep impedance curve is generated, and the position corresponding to the transformer deformation is found through comparing the obtained curve with each deformation transformer frequency sweep impedance curve collected by big data in the winding system parameter identification technology.
According to the technical scheme, in the fourth step, along with the increase of the winding deformation detection times, the database data in the third step are continuously corrected, and the accuracy of judging the transformer winding deformation by the method is continuously improved.
Compared with the prior art, the invention has the following beneficial effects: the method is still based on the idea of a frequency response method, but the short-circuit impedance value at the low frequency position can be deduced, so that the short-circuit reactance method and the frequency response method are well combined together, and the method can be called as a frequency-sweeping impedance method; the sweep frequency impedance method is a novel transformer winding deformation testing method, well combines the characteristics of the two testing methods, has a larger breakthrough in the testing principle, and has the advantages of simple and portable testing equipment, high sensitivity, clear criterion and the like; by using the method, the frequency sweep impedance curve and the short circuit impedance value of the transformer can be obtained through one-time test, and the error caused by multiple wiring is effectively reduced.
Drawings
FIG. 1 is a flow chart of a determination method of the present invention.
Detailed Description
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 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.
Referring to fig. 1, the present invention provides a technical solution: a winding deformation judgment method based on short-circuit reactance comprises the following steps: step one, building a winding equivalent circuit model; step two, establishing a winding system parameter identification technology; step three, obtaining the relation between the parameter change of the winding system and the fault factor; step four, intelligently detecting the deformation of the winding;
in the first step, a winding equivalent circuit model is created according to the requirement of detecting the winding deformation judgment, and the influence rule of the physical form of the winding on the distribution parameters such as the winding RLC and the like is analyzed;
in the second step, based on the winding equivalent circuit model in the first step, analyzing a basic function form of a frequency-sweeping impedance system of the transformer winding, a frequency-sweeping impedance curve acquisition technology and influence factors, and further establishing a winding system parameter identification technology of the frequency-sweeping impedance curve; in the second step, the frequency sweep impedance can be obtained by applying a stable sine wave frequency sweep signal (usually 1-1000 kHz) to one end of the tested transformer, simultaneously recording the voltage amplitude and the phase angle of the end and the other end, and processing to obtain a group of frequency response curves H (j omega) of the tested transformer; if the frequency scanning signal comprises a power frequency component of 50Hz, the short-circuit reactance of the transformer can be calculated according to the signals of the primary side and the secondary side; obtaining a frequency sweep impedance curve and a short circuit impedance value of the transformer; the corresponding functional relation between the input (excitation) and the output (response) can be established, and a sweep frequency impedance curve is drawn;
in the third step, the influence factors and the change rule of the winding circuit parameters are analyzed based on the winding system parameter identification technology in the second step, and the relation between the winding system parameter change and the factors such as fault types, deformation positions and deformation degrees is obtained; in the third step, a voltage transformer and a current transformer are respectively arranged on the lines of the input ends of each phase of the transformer; respectively installing a voltage transformer and a current transformer on the lines of the output ends of each phase of the transformer, calculating the reactance of the transformer through the corresponding functional relation in the step two according to the detected input and output voltages and currents, comparing the calculated real-time reactance of the lines with the standard reactance by a worker, judging whether the transformer winding is deformed, collecting big data of the reactance of the transformer winding after each part is deformed, obtaining the relation between the parameter change of the winding system and factors such as fault type, deformation position and deformation degree, and establishing a system model;
in the fourth step, the intelligent detection of winding deformation is carried out based on the winding system parameter identification technology of the sweep frequency impedance curve in the second step and a system established by the connection between the winding system parameter change and the fault factors in the third step; calculating a short-circuit impedance value through input and output voltages and currents of the transformer to be detected and a winding equivalent circuit system model technology, generating a frequency sweep impedance curve, and comparing the obtained curve with frequency sweep impedance curves of various deformation transformers collected by big data in a winding system parameter identification technology to find out the position corresponding to the deformation of the transformer; the method takes a transformer winding as a passive linear two-port network consisting of linear parameters such as resistance, inductance and capacitance; the input (excitation) and the output (response) can be established with corresponding functional relation and drawn into a curve, so that the obtained characteristic curve of the transfer function of the winding can reflect the characteristics of the transformer winding; the frequency response method is characterized in that a precise frequency sweep measurement technology is utilized, a low-voltage frequency sweep signal (less than 10Vp-p) of lkHz-1 MHz is applied to a winding to be tested, if the winding is subjected to a mechanical deformation phenomenon, distribution parameters in an equivalent network change along with the change of the distribution parameters, resonance points of an amplitude-frequency characteristic curve of the winding change, the detection of the deformation of the transformer winding in the later period is realized, database data in the step four are continuously corrected along with the increase of the detection times of the deformation of the winding, and the accuracy of the method for judging the deformation of the transformer winding is continuously improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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 (5)
1. A winding deformation judgment method based on short-circuit reactance comprises the following steps: step one, building a winding equivalent circuit model; step two, establishing a winding system parameter identification technology; step three, obtaining the relation between the parameter change of the winding system and the fault factor; step four, intelligently detecting the deformation of the winding; the method is characterized in that:
in the first step, a winding equivalent circuit model is created according to the requirement of detecting the winding deformation judgment, and the influence rule of the physical form of the winding on the distribution parameters such as the winding RLC and the like is analyzed;
in the second step, based on the winding equivalent circuit model in the first step, analyzing a basic function form of a frequency-sweeping impedance system of the transformer winding, a frequency-sweeping impedance curve acquisition technology and influence factors, and further establishing a winding system parameter identification technology of the frequency-sweeping impedance curve;
in the third step, based on the winding system parameter identification technology in the second step, analyzing the influence factors and the change rule of the winding circuit parameters to obtain the relation between the winding system parameter change and the factors such as fault type, deformation position and deformation degree, establishing the corresponding relation between the deformation position of the typical transformer winding and input (excitation) and output (response) values by adopting a finite element analysis method and combining the sweep frequency impedance curve relation obtained in the second step, and establishing a database of the input (excitation) and output (response) values at each deformation position of the typical transformer winding;
in the fourth step, the winding deformation is intelligently detected based on the winding system parameter identification technology of the frequency-sweep impedance curve in the second step and a system established based on the relation between the winding system parameter change and the fault factors in the third step, the frequency-sweep impedance curve data of the typical transformer and the database of the winding deformation position are compared with the data value and the reactance change rate measured in the field, the deformation position of the field transformer winding is determined, and whether the field transformer winding is deformed or not is judged.
2. A winding deformation judging method based on short-circuit reactance according to claim 1, characterized in that: in the second step, the frequency sweeping impedance can be obtained by applying a stable sine wave frequency sweeping signal (usually 1-1000 kHz) to one end of the tested transformer, simultaneously recording the voltage amplitude and the phase angle of the end and the other end, and processing to obtain a group of frequency response curves H (j omega) of the tested transformer; if the frequency scanning signal comprises a power frequency component of 50Hz, the short-circuit reactance of the transformer can be calculated according to the signals of the primary side and the secondary side; obtaining a frequency sweep impedance curve and a short circuit impedance value of the transformer; the input (excitation) and the output (response) can be established into a corresponding functional relation and drawn into a sweep impedance curve.
3. A winding deformation judging method based on short-circuit reactance according to claim 1, characterized in that: in the third step, a voltage transformer and a current transformer are respectively arranged on the lines of the input ends of each phase of the transformer; and (2) respectively installing a voltage transformer and a current transformer on the lines of the output ends of each phase of the transformer, calculating the reactance of the transformer according to the corresponding functional relation in the step two by using the detected input and output voltages and currents, comparing the calculated real-time reactance of the line with the standard reactance by using a worker so as to judge whether the transformer winding is deformed, collecting big data of the reactance of the transformer winding after each part is deformed, obtaining the relation between the parameter change of the winding system and factors such as fault type, deformation position and deformation degree, and establishing a system model.
4. A winding deformation judging method based on short-circuit reactance according to claim 1, characterized in that: and in the fourth step, the short-circuit impedance value is calculated by the input and output voltage and current of the transformer to be detected and the winding equivalent circuit system model technology, a sweep frequency impedance curve is generated, and the position corresponding to the transformer deformation is found by comparing the obtained curve with the sweep frequency impedance curves of the deformation transformers collected by big data in the winding system parameter identification technology.
5. A winding deformation judging method based on short-circuit reactance according to claim 1, characterized in that: in the fourth step, along with the increase of the winding deformation detection times, the database data in the third step are continuously corrected, and the accuracy of judging the transformer winding deformation by the method is continuously improved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910991376.6A CN110645887A (en) | 2019-10-18 | 2019-10-18 | Winding deformation judgment method based on short-circuit reactance |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910991376.6A CN110645887A (en) | 2019-10-18 | 2019-10-18 | Winding deformation judgment method based on short-circuit reactance |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110645887A true CN110645887A (en) | 2020-01-03 |
Family
ID=68994360
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910991376.6A Pending CN110645887A (en) | 2019-10-18 | 2019-10-18 | Winding deformation judgment method based on short-circuit reactance |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110645887A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112304207A (en) * | 2020-10-20 | 2021-02-02 | 上海电力大学 | Transformer winding deformation online detection method by using leakage inductance parameter change estimation |
| CN112305466A (en) * | 2020-10-13 | 2021-02-02 | 上海电力大学 | Transformer winding deformation detection method based on optical fiber magnetic field sensor and leakage inductance |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110006326A (en) * | 2019-03-11 | 2019-07-12 | 国网江苏省电力有限公司淮安供电分公司 | A kind of deformation of transformer winding intelligent detecting method based on Frequency Response Analysis FRA |
| CN110057283A (en) * | 2019-03-11 | 2019-07-26 | 国网江苏省电力有限公司淮安供电分公司 | A kind of deformation of transformer winding intelligent detecting method based on short-circuit reactance |
-
2019
- 2019-10-18 CN CN201910991376.6A patent/CN110645887A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110006326A (en) * | 2019-03-11 | 2019-07-12 | 国网江苏省电力有限公司淮安供电分公司 | A kind of deformation of transformer winding intelligent detecting method based on Frequency Response Analysis FRA |
| CN110057283A (en) * | 2019-03-11 | 2019-07-26 | 国网江苏省电力有限公司淮安供电分公司 | A kind of deformation of transformer winding intelligent detecting method based on short-circuit reactance |
Non-Patent Citations (2)
| Title |
|---|
| 刘勇 等: "检测变压器故障的扫频阻抗法特性研究及应用", 《高电压技术》 * |
| 崔迎 等: "用于扫频阻抗法的变压器绕组等效电路模型研究", 《高压电器》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112305466A (en) * | 2020-10-13 | 2021-02-02 | 上海电力大学 | Transformer winding deformation detection method based on optical fiber magnetic field sensor and leakage inductance |
| CN112305466B (en) * | 2020-10-13 | 2023-02-07 | 上海电力大学 | Transformer winding deformation detection method based on optical fiber magnetic field sensor and leakage inductance |
| CN112304207A (en) * | 2020-10-20 | 2021-02-02 | 上海电力大学 | Transformer winding deformation online detection method by using leakage inductance parameter change estimation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104569481B (en) | Buchholz relay oil stream flow velocity acquisition system and grave gas setting valve method of calibration | |
| CN1099037C (en) | Method of detecting and locating a high-resistance earth fault in an electric power network | |
| CN104142421B (en) | Converting equipment insulated on-line monitoring system and method for work thereof | |
| CN101762799B (en) | System for online detection of voltage transformer precision | |
| CN107247204B (en) | State monitoring system and monitoring method for voltage limiters in ultra-high and extra-high voltage series compensation device | |
| CN204256093U (en) | The On-line Fault monitoring device of cable splice in a kind of 10 ~ 35kV power distribution network | |
| CN109521391B (en) | Device and method for detecting turn-to-turn short circuit fault of generator voltage transformer winding | |
| CN109284933B (en) | Electronic transformer state evaluation system and method based on mathematical statistics | |
| CN111521919A (en) | Low-voltage transformer area zero line live fault diagnosis device and diagnosis and positioning method | |
| CN107942192A (en) | A kind of controller switching equipment CT automatic test approach and system | |
| CN110161358A (en) | A kind of Earth design method and device | |
| CN106338237A (en) | Transformer winding deformation detection method based on frequency response impedance method | |
| CN204166118U (en) | A kind of lightning arrester on-line computing model performance calibration equipment on the spot | |
| CN110645887A (en) | Winding deformation judgment method based on short-circuit reactance | |
| CN104155627B (en) | Error characteristic detection method of extra high voltage capacitive voltage transformer | |
| CN207007990U (en) | A kind of state monitoring apparatus of Partial Discharge in Power Transformer | |
| CN106646138B (en) | Distribution net work earthing fault localization method based on the conversion of more sample frequency wavelet character energy | |
| CN115656719B (en) | High-voltage cable sheath defect online diagnosis method based on sheath current transaction | |
| CN105203886A (en) | Capacitive type current transformer online detection device and method | |
| CN105589052A (en) | CVT capacitance on-line monitoring method based on zero sequence voltage monitoring | |
| CN205176158U (en) | Electric capacity type current transformer on -line measuring device | |
| CN108181513B (en) | Inter-phase coupling capacitance testing method and system for lightning arrester based on pilot frequency method | |
| CN209606602U (en) | The detection device of generator voltage mutual inductor winding interturn short-circuit failure | |
| CN207675919U (en) | A kind of controller switching equipment CT automatic testing equipments | |
| CN208013311U (en) | A kind of arrester Coupling Between Phases capacitor test system based on alien frequencies method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200103 |