CN109507579B - On-load tap-changer switching program on-line detection and diagnosis method - Google Patents
On-load tap-changer switching program on-line detection and diagnosis method Download PDFInfo
- Publication number
- CN109507579B CN109507579B CN201811480245.3A CN201811480245A CN109507579B CN 109507579 B CN109507579 B CN 109507579B CN 201811480245 A CN201811480245 A CN 201811480245A CN 109507579 B CN109507579 B CN 109507579B
- Authority
- CN
- China
- Prior art keywords
- switching program
- changer
- load tap
- coordinate value
- value corresponding
- 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.)
- Active
Links
Images
Classifications
-
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3272—Apparatus, systems or circuits therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3275—Fault detection or status indication
Abstract
The invention provides an on-load tap-changer switching program on-line detection and diagnosis method, which comprises the following steps: measuring original online vibration data; calculating an envelope curve of the original online vibration data, and defining the envelope curve as an original fingerprint of the on-load tap-changer vibration; calculating the original fingerprint switching program feature vector X; measuring online vibration data to be diagnosed; calculating an envelope curve of the online vibration data to be diagnosed, and defining the envelope curve as a fingerprint to be diagnosed of the vibration of the on-load tap-changer; calculating a feature vector Y of the fingerprint switching program to be diagnosed; calculating a correlation coefficient A; and judging whether the on-load tap-changer switching program is abnormal or not according to the correlation coefficient A and a diagnosis criterion. The on-load tap-changer switching program on-line detection diagnosis method provided by the invention realizes the purpose of on-line detection.
Description
Technical Field
The invention relates to the technical field of electric appliance detection, in particular to an on-load tap-changer switching program on-line detection and diagnosis method.
Background
The OLTC (On Load Tap Changer) is an important device essential for extra-high voltage direct current transmission, and has the main functions of maintaining the constant voltage of the direct current side of the converter valve and compensating the voltage change of an alternating current system through voltage regulation operation under the condition of not interrupting Load current, keeping the trigger angle of the converter valve in the optimal operation range and avoiding phase change failure even direct current locking caused by voltage fluctuation. Taking a direct current transmission system at two ends of +/-800 kV as an example, on average, 48 OLTCs installed in a converter transformer are installed every day, voltage regulation operation for more than 500 times is executed, the operation is frequent, the action is significant, and the reliable operation of the OLTC is of great importance to the power supply safety of a power system.
The change-over switch is the core of the OLTC, whether the switching program of each contact is correct or not in the switching process plays a role in determining the operation safety of the OLTC, and the switching process is directly influenced by the abnormity of loosening of a fastener, breakage of a spring, poor contact of the contact and the like. The OLTC fault diagnosis is accurate and reliable by detecting the switching time sequence. The direct current detection method is a currently recognized switching timing sequence detection method and becomes a necessary inspection item of an OLTC type test, a factory test and a overhaul test. The direct current detection method needs to disassemble the OLTC during testing and can only be carried out off line.
Disclosure of Invention
The invention aims to provide an on-load tap-changer switching program on-line detection and diagnosis method, which can carry out switching time sequence detection on line.
The invention provides an on-load tap-changer switching program on-line detection and diagnosis method, which comprises the following steps:
1) after the transformer is put into operation, measuring and acquiring vibration data when the on-load tap-changer acts in an operating state, and defining the data as original online vibration data;
2) calculating an envelope curve of the original online vibration data, and defining the envelope curve as an original fingerprint of the on-load tap-changer vibration;
3) calculating the original fingerprint switching program feature vector X;
4) when the transformer needs to diagnose whether the on-load tap-changer switching program is abnormal after running for a period of time, under the running state of the transformer and under the same test condition as the step 1), measuring vibration data of the on-load tap-changer during action, and defining the data as on-line vibration data to be diagnosed;
5) calculating an envelope curve of the online vibration data to be diagnosed, and defining the envelope curve as a fingerprint to be diagnosed of the on-load tap-changer vibration;
6) calculating a feature vector Y of the fingerprint switching program to be diagnosed;
7) calculating a correlation coefficient A of the feature vector X of the original fingerprint switching program and the feature vector Y of the fingerprint switching program to be diagnosed;
8) and judging whether the on-load tap-changer switching program is abnormal or not according to the correlation coefficient A and a diagnosis criterion.
Further, in the step 3), the original fingerprint switching program feature vector X is formed by a zero-pole time coordinate value of a characteristic peak of an on-load tap-changer vibration original fingerprint; in the step 6), the characteristic vector Y of the fingerprint switching program to be diagnosed is formed by a zero-pole time coordinate value of a characteristic peak of the fingerprint to be diagnosed when the on-load tap-changer vibrates.
Further, in the step 3), the original fingerprint switching program feature vector X is (X1, X2, X3, X4, X5, X6), where X2 is a time coordinate value corresponding to a first peak pole, X5 is a time coordinate value corresponding to a peak pole with a maximum amplitude, X1 is a time coordinate value corresponding to a previous zero of the first peak pole, X3 is a time coordinate value corresponding to a next zero of the first peak pole, X4 is a time coordinate value corresponding to a previous zero of the peak pole with the maximum amplitude, and X6 is a time coordinate value corresponding to a next zero of the peak pole with the maximum amplitude; in step 6), the to-be-diagnosed fingerprint switching program feature vector Y is (Y1, Y2, Y3, Y4, Y5, Y6), where Y2 is a time coordinate value corresponding to the first peak pole, Y5 is a time coordinate value corresponding to the maximum-amplitude peak pole, Y1 is a time coordinate value corresponding to the previous zero of the first peak pole, Y3 is a time coordinate value corresponding to the next zero of the first peak pole, Y4 is a time coordinate value corresponding to the previous zero of the maximum-amplitude peak pole, and Y6 is a time coordinate value corresponding to the next zero of the maximum-amplitude peak pole.
Further, in the step 7), the calculation method of the correlation coefficient a is as follows:
among them, LR xy Switching program feature vector X and the to-be-diagnosed for the original fingerprintNormalized covariance of broken fingerprint handover procedure feature vector Y.
Further, in the step 8), the diagnosis criterion is:
if A is larger than or equal to 2, the switching procedure of the on-load tap-changer is normal;
if 2 is larger than A and is larger than or equal to 1, slight abnormality exists in the switching program of the on-load tap-changer;
if A <1, there is a serious anomaly in the on-load tap-changer switching procedure.
According to the on-load tap-changer switching program on-line detection and diagnosis method provided by the invention, the original on-line vibration data and the on-line vibration data to be diagnosed are compared to obtain the correlation coefficient A, and the result is judged according to the correlation coefficient A, so that the purpose of on-line detection is realized. Due to the adoption of the time sequence correlation characteristic of the OLTC switching program of the transformer and the characteristic wave crest (the first wave crest and the wave crest with the maximum amplitude value) of the online vibration data envelope curve of the OLTC, when the switching program is normal, the time intervals of the characteristic wave crest of the online vibration data envelope curve of the OLTC are basically the same, when the switching program is abnormal, the time interval change of the characteristic wave crest of the online vibration data envelope curve of the OLTC is larger, and the characteristic wave crest can be used as an effective parameter for judging whether the switching program of the on-load tap-changer is correct or not on line. The method adopts the correlation coefficient of the characteristic vector of the OLTC online vibration data envelope curve as a criterion for judging the on-load tap-changer switching program state on line, and has the advantages of strong field operability, no power failure, accurate judgment, sensitive response, quantitative judgment, easy implementation and the like. The method can be widely applied to on-load tap-changer fault on-line diagnosis of the transformer.
Drawings
Fig. 1 is a flow chart of an on-load tap changer switching program on-line detection diagnostic method of the present invention;
FIG. 2 is a schematic of the envelope curve of the raw online vibration data of the present invention;
fig. 3 is a schematic diagram of an envelope curve of online vibration data to be diagnosed according to the present invention.
Detailed Description
The present invention is further described below in conjunction with the following figures and specific examples so that those skilled in the art may better understand the present invention and practice it, but the examples are not intended to limit the present invention.
The invention provides an on-load tap-changer switching program on-line detection and diagnosis method, which judges whether the on-load tap-changer switching program state is normal on-line according to the characteristic wave crest of an OLTC on-line vibration data envelope curve, when the switching program is normal, the time intervals of the characteristic wave crests of the OLTC on-line vibration data envelope curve are basically the same, when the switching program is abnormal, the time interval change of the characteristic wave crest of the OLTC on-line vibration data envelope curve is larger, therefore, the on-load tap-changer switching program on-line detection and diagnosis method based on the characteristic wave crest of the OLTC on-line vibration data envelope curve is characterized in that according to the on-line vibration data measured under the same condition, the envelope curve of the original on-line vibration data and the envelope curve of the on-line vibration data to be diagnosed are calculated to obtain the original fingerprint of the on-load tap-changer vibration and the fingerprint to be diagnosed, then the characteristic vector of the original fingerprint switching program and the fingerprint switching program to be diagnosed are calculated, and calculating the correlation coefficient of the two eigenvectors, and comparing with a diagnosis criterion according to the magnitude of the correlation coefficient to judge whether the on-load tap-changer switching program is abnormal. Specifically, as shown in fig. 1, the method comprises the following steps:
1) after the transformer is put into operation, vibration data of the on-load tap-changer during action are measured and taken in an operation state, and the data are defined as original online vibration data;
2) calculating an envelope curve of the original online vibration data, and defining the envelope curve as an original fingerprint of the on-load tap-changer vibration;
the calculation method of the envelope curve comprises the following steps:
S(n)＝x 2 (n)w(3000)， (1)
wherein, S (n) is envelope curve data, x (n) is a data sequence of original online vibration data, and w (3000) is a Hamming window sequence with a window length of 3000;
3) calculating the feature vector X of the original fingerprint switching program;
x ═ X1, X2, X3, X4, X5, X6, as shown in fig. 2, the method of calculating the original fingerprint switching program feature vector X is:
x2 is the time coordinate value corresponding to the first peak pole;
x5 is the time coordinate value corresponding to the peak polar point with the maximum amplitude;
x1 is the time coordinate value corresponding to the previous zero of the first peak pole;
x3 is a time coordinate value corresponding to a zero after the first peak pole;
x4 is the time coordinate value corresponding to the previous zero point of the maximum peak pole of the amplitude;
x6 is a time coordinate value corresponding to the next zero of the maximum peak pole of the amplitude;
4) when the transformer needs to diagnose whether the on-load tap-changer switching program is abnormal after running for a period of time, under the running state of the transformer and under the same test condition as the step 1), measuring vibration data of the on-load tap-changer during action, and defining the data as on-line vibration data to be diagnosed;
5) calculating an envelope curve of the online vibration data to be diagnosed, and defining the envelope curve as a fingerprint to be diagnosed of the on-load tap-changer vibration, wherein the calculation method of the envelope curve is the same as that in the step 2), and is not repeated here;
6) calculating a feature vector Y of the fingerprint switching program to be diagnosed;
calculating the feature vector Y of the fingerprint switching program to be diagnosed (Y1, Y2, Y3, Y4, Y5, Y6), and as shown in fig. 3, the method for calculating the feature vector Y of the fingerprint switching program to be diagnosed is as follows:
y2 is the time coordinate value corresponding to the first peak pole;
y5 is a time coordinate value corresponding to the peak pole point with the maximum amplitude;
y1 is the time coordinate value corresponding to the previous zero of the first peak pole;
y3 is a time coordinate value corresponding to a zero after the first peak pole;
y4 is the time coordinate value corresponding to the previous zero point of the maximum peak pole of the amplitude;
y6 is a time coordinate value corresponding to the next zero of the maximum peak pole of the amplitude;
7) calculating a correlation coefficient A of the feature vector X of the original fingerprint switching program and the feature vector Y of the fingerprint switching program to be diagnosed;
specifically, the calculation method of the correlation coefficient a is as follows:
calculating the standard deviation D of the original fingerprint switching program feature vector X x And the standard deviation D of the feature vector Y of the fingerprint switching program to be diagnosed y ：
Wherein, N is the length of the feature vector data sequence, and the value is N ═ 6, X (k) is the kth element of the original fingerprint switching program feature vector X, and Y (k) is the kth element of the to-be-diagnosed fingerprint switching program feature vector Y;
calculating covariance C of original fingerprint switching program feature vector X and fingerprint switching program feature vector Y to be diagnosed xy ：
Calculating normalized covariance LR of original fingerprint switching program feature vector X and fingerprint switching program feature vector Y to be diagnosed xy ：
Calculating a correlation coefficient A:
8) and judging whether an on-load tap-changer switching program is abnormal or not according to the correlation coefficient A and a diagnosis criterion, wherein the diagnosis criterion is as follows:
if A is larger than or equal to 2, the switching procedure of the on-load tap-changer is normal;
if 2 is larger than A and is larger than or equal to 1, slight abnormity exists in the switching program of the on-load tap-changer;
if A <1, there is a serious anomaly in the on-load tap-changer switching procedure.
The scope of the invention is not limited thereto. The equivalent substitution or change made by the technical personnel in the technical field on the basis of the invention is all within the protection scope of the invention. The protection scope of the invention is subject to the claims.
Claims (3)
1. An on-load tap-changer switching program online detection diagnosis method is characterized by comprising the following steps:
1) after the transformer is put into operation, measuring and acquiring vibration data when the on-load tap-changer acts in an operating state, and defining the data as original online vibration data;
2) calculating an envelope curve of the original online vibration data, and defining the envelope curve as an original fingerprint of the on-load tap-changer vibration;
3) calculating the feature vector X of the original fingerprint switching program;
4) when the transformer needs to diagnose whether the on-load tap-changer switching program is abnormal after running for a period of time, under the running state of the transformer and under the same test condition as the step 1), measuring vibration data of the on-load tap-changer during action, and defining the data as on-line vibration data to be diagnosed;
5) calculating an envelope curve of the online vibration data to be diagnosed, and defining the envelope curve as a fingerprint to be diagnosed of the on-load tap-changer vibration;
6) calculating a feature vector Y of the fingerprint switching program to be diagnosed;
7) calculating a correlation coefficient A of the feature vector X of the original fingerprint switching program and the feature vector Y of the fingerprint switching program to be diagnosed;
8) judging whether an on-load tap-changer switching program is abnormal or not according to the correlation coefficient A and a diagnosis criterion;
in step 3), the original fingerprint switching program feature vector X is (X1, X2, X3, X4, X5, X6), where X2 is a time coordinate value corresponding to a first peak pole, X5 is a time coordinate value corresponding to a peak pole with the largest amplitude, X1 is a time coordinate value corresponding to a zero point before the first peak pole, X3 is a time coordinate value corresponding to a zero point after the first peak pole, X4 is a time coordinate value corresponding to a zero point before the peak pole with the largest amplitude, and X6 is a time coordinate value corresponding to a zero point after the peak pole with the largest amplitude; in the step 6), the to-be-diagnosed fingerprint switching program feature vector Y is (Y1, Y2, Y3, Y4, Y5, and Y6), where Y2 is a time coordinate value corresponding to the first peak pole, Y5 is a time coordinate value corresponding to the peak pole with the largest amplitude, Y1 is a time coordinate value corresponding to the previous zero of the first peak pole, Y3 is a time coordinate value corresponding to the next zero of the first peak pole, Y4 is a time coordinate value corresponding to the previous zero of the peak pole with the largest amplitude, and Y6 is a time coordinate value corresponding to the next zero of the peak pole with the largest amplitude.
2. The on-load tap changer switching program online detection diagnostic method according to claim 1, characterized in that in step 7), the correlation coefficient a is calculated as follows:
among them, LR xy And the normalized covariance of the feature vector X of the original fingerprint switching program and the feature vector Y of the fingerprint switching program to be diagnosed.
3. The on-line detection and diagnosis method for the on-load tap-changer switching program of claim 1, wherein in the step 8), the diagnosis criteria are:
if A is larger than or equal to 2, the switching procedure of the on-load tap-changer is normal;
if 2 is larger than A and is larger than or equal to 1, slight abnormality exists in the switching program of the on-load tap-changer;
if A <1, there is a serious anomaly in the on-load tap-changer switching procedure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811480245.3A CN109507579B (en) | 2018-12-05 | 2018-12-05 | On-load tap-changer switching program on-line detection and diagnosis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811480245.3A CN109507579B (en) | 2018-12-05 | 2018-12-05 | On-load tap-changer switching program on-line detection and diagnosis method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109507579A CN109507579A (en) | 2019-03-22 |
| CN109507579B true CN109507579B (en) | 2022-09-20 |
Family
ID=65751682
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811480245.3A Active CN109507579B (en) | 2018-12-05 | 2018-12-05 | On-load tap-changer switching program on-line detection and diagnosis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109507579B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112444577B (en) * | 2020-11-17 | 2022-01-25 | 广东电网有限责任公司电力科学研究院 | Method and system for evaluating switching state of vacuum on-load tap-changer |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102998618A (en) * | 2012-11-20 | 2013-03-27 | 中国电力科学研究院 | Transformer on-load tap-changer fault diagnosis method based on vibration characteristics |
| KR20140041982A (en) * | 2012-09-25 | 2014-04-07 | 한국전력공사 | Apparatus for watching fault of on load tap changer |
| CN108229382A (en) * | 2017-12-29 | 2018-06-29 | 广州供电局有限公司 | Vibration signal characteristics extracting method, device, storage medium and computer equipment |
| CN108490345A (en) * | 2018-03-26 | 2018-09-04 | 盐城博鸣信息科技有限公司 | A kind of fault simulation diagnostic method of converter power transformer tap switch |
| CN108845250A (en) * | 2018-06-01 | 2018-11-20 | 国网江苏省电力有限公司南京供电分公司 | The load ratio bridging switch fault recognition method extracted based on vibration signal characteristics |
-
2018
- 2018-12-05 CN CN201811480245.3A patent/CN109507579B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20140041982A (en) * | 2012-09-25 | 2014-04-07 | 한국전력공사 | Apparatus for watching fault of on load tap changer |
| CN102998618A (en) * | 2012-11-20 | 2013-03-27 | 中国电力科学研究院 | Transformer on-load tap-changer fault diagnosis method based on vibration characteristics |
| CN108229382A (en) * | 2017-12-29 | 2018-06-29 | 广州供电局有限公司 | Vibration signal characteristics extracting method, device, storage medium and computer equipment |
| CN108490345A (en) * | 2018-03-26 | 2018-09-04 | 盐城博鸣信息科技有限公司 | A kind of fault simulation diagnostic method of converter power transformer tap switch |
| CN108845250A (en) * | 2018-06-01 | 2018-11-20 | 国网江苏省电力有限公司南京供电分公司 | The load ratio bridging switch fault recognition method extracted based on vibration signal characteristics |
Non-Patent Citations (1)
| Title |
|---|
| 小波奇异性检测诊断有载分接开关故障;张伟政等;《高电压技术》;20060731;第32卷(第07期);第49-53页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109507579A (en) | 2019-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111856169B (en) | Transformer fault detection method and system | |
| Lachman et al. | On-line diagnostics of high-voltage bushings and current transformers using the sum current method | |
| CN112630644B (en) | Method and system for on-line monitoring on-load tap-changer switching program based on photoelectric signal | |
| CN104991110A (en) | Voltage abnormity detection method and device for single phase alternating current power supply | |
| CN109507579B (en) | On-load tap-changer switching program on-line detection and diagnosis method | |
| CN110794197B (en) | Method for rapidly diagnosing converter station direct-current voltage measurement abnormity | |
| JP2010197132A (en) | Vacuum circuit breaker vacuum tester | |
| CN116500487B (en) | Fault detection system and method for switching power supply, terminal equipment and medium | |
| CN109613426A (en) | A kind of high-voltage circuitbreaker Mume flower contact Diagnosis of Aging | |
| CN112867933A (en) | Fault diagnosis in an electrical power supply network | |
| CN106842008B (en) | Method for testing on-load switch of transformer | |
| KR101652835B1 (en) | OLTC Tap selector connection burnout monitoring device | |
| JP6958146B2 (en) | Arc detector | |
| CN115856390A (en) | Monitoring and diagnosing method and system of power switch cabinet and storage medium | |
| CN106771514B (en) | A kind of device and method of quick lookup voltage transformer failure | |
| CN115560865A (en) | Converter transformer sleeve monitoring method and device | |
| CN111679233B (en) | Method for positioning measurement abnormity of hybrid direct current engineering control system | |
| KR20190132060A (en) | Shelf power relay and method for preventing operation error thereof | |
| CN114167116A (en) | Lightning arrester on-line monitoring method and device | |
| JP5855070B2 (en) | Measuring apparatus and current transformer installation state determination method | |
| CN113108920B (en) | Method for detecting 110kv voltage GIS disconnecting link based on DR imaging technology | |
| CN104076252A (en) | Electrical performance test device and method | |
| CN116821834B (en) | Vacuum circuit breaker overhauling management system based on embedded sensor | |
| CN113985270B (en) | Method, system and medium for detecting switching time sequence of on-load tap-changer | |
| CN211086461U (en) | Device for rapidly removing fault of direct current control system of transformer substation |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |