CN107782954B - A kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data - Google Patents
A kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data Download PDFInfo
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- CN107782954B CN107782954B CN201710904285.5A CN201710904285A CN107782954B CN 107782954 B CN107782954 B CN 107782954B CN 201710904285 A CN201710904285 A CN 201710904285A CN 107782954 B CN107782954 B CN 107782954B
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000012423 maintenance Methods 0.000 abstract description 2
- 241001269238 Data Species 0.000 abstract 1
- 238000012545 processing Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
- G01R19/17—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values giving an indication of the number of times this occurs, i.e. multi-channel analysers
Abstract
The present invention provides a kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data, comprising the following steps: the overvoltage number historical data occurred on transformer from obtaining in overvoltage online monitoring data library；Average value M exaggerated scale is equipped with upper threshold N by the average value M for finding out these historical datas；From the overvoltage number real time data occurred on acquisition transformer in overvoltage online monitoring data library；Made the voltage number Y functional image corresponding with acquisition time T of S3 acquisition in plane right-angle coordinate；Judge voltage number data Y with the presence or absence of be more than upper threshold N the case where, if voltage number data Y exist be more than upper threshold N if issue warning signal, if having voltage number data Y be not present be more than that upper threshold N judges that transformer state is normal.Warning information high reliablity, safe operation, maintenance is of great significance in time.
Description
Technical field
The present invention relates to transformer overvoltage method for early warning technical fields, in particular to a kind of to be based on a large amount of overvoltage numbers
The transformer overvoltage method for early warning of data.
Background technique
It in the power system, may because of the atmospheric over-voltage and lightning surge being struck by lightning with generated due to route switching, failure
Transmission line insulator and electrical equipment are damaged, or even cause line outage and unsafe accident.In order to safeguard power train
It unites safe and stable operation, need to adopt a series of measures the generation for reducing accident to the greatest extent, such as using on-line monitoring technique to electrically setting
Standby upper overvoltage is monitored.Transformer also uses this technology real-time monitoring as the core equipment in electric system
Its operating status.However, acquired a large amount of transformer overvoltage number data, not can be carried out fully processing and analysis.
Therefore, it is necessary to a kind of rationally effective methods, to a large amount of transformer overvoltage obtained from on-line monitoring system
Number data carry out processing analysis, obtain the valuable information about running state of transformer, to carry out shape to transformer
State early warning.
Summary of the invention
For mirror with this, the present invention proposes a kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data, should
Method is how much for statistical analysis to the overvoltage number occurred on transformer in a period of time.
The technical scheme of the present invention is realized as follows: a kind of transformer overvoltage based on a large amount of overvoltage number data
Method for early warning, comprising the following steps:
S1: occur on transformer from being obtained in overvoltage online monitoring data library in the historical time section for be not less than one month
Overvoltage number historical data；
S2: the average value M that overvoltage number historical data is obtained in S1 is found out；
S3: it from the real time data for acquiring the overvoltage number Y occurred on transformer in overvoltage online monitoring data library, adopts
Collecting frequency is at least 1 times/day, acquisition time T length at least 7 days；
S4: made the overvoltage number Y functional arrangement corresponding with acquisition time T of S3 acquisition in plane right-angle coordinate
Picture；
S5: calculating upper threshold N, N=K × M, and wherein K is constant of the value range 1.1~1.3, and M is the mistake in S2
The average value of voltage number historical data；
S6: the case where overvoltage number data Y is with the presence or absence of being more than upper threshold N in S3 is judged, if overvoltage number number
It is then issued warning signal according to Y in the presence of the case where being more than upper threshold N, if there is no be more than upper threshold N to overvoltage number data Y
The case where then judge that transformer state is normal.
Further, the historical time section obtained in S1 is the historical time section of hithermost current time.
Compared with prior art, the beneficial effects of the present invention are: being effectively utilized the change obtained from on-line monitoring system
Depressor overvoltage number data, the obtained warning information high reliablity about running state of transformer are safely operated, in time
Maintenance is of great significance.
Detailed description of the invention
Fig. 1 is the process of the transformer overvoltage method for early warning based on a large amount of overvoltage number data of the embodiment of the present invention
Figure；
Fig. 2 is in voltage number Y functional image corresponding with acquisition time T and threshold value that the S3 of the embodiment of the present invention is obtained
Limit the functional image of N.
Specific embodiment
In order to be best understood from the technology of the present invention content, be provided below specific embodiment, and in conjunction with attached drawing to the present invention do into
The explanation of one step.
Referring to Fig. 1 to 2, a kind of transformer overvoltage early warning based on a large amount of overvoltage number data provided by the invention
Method, it is characterised in that: the following steps are included:
S1: occur on transformer from being obtained in overvoltage online monitoring data library in the historical time section for be not less than one month
Overvoltage number historical data；
S2: the average value M that overvoltage number historical data is obtained in S1 is found out；
S3: it from the real time data for acquiring the overvoltage number Y occurred on transformer in overvoltage online monitoring data library, adopts
Collecting frequency is at least 1 times/day, acquisition time T length at least 7 days；
S4: made the overvoltage number Y functional arrangement corresponding with acquisition time T of S3 acquisition in plane right-angle coordinate
Picture；
S5: calculating upper threshold N, N=K × M, and wherein K is constant of the value range 1.1~1.3, and M is the mistake in S2
The average value of voltage number historical data；
S6: the case where overvoltage number data Y is with the presence or absence of being more than upper threshold N in S3 is judged, if overvoltage number number
It is then issued warning signal according to Y in the presence of the case where being more than upper threshold N, if there is no be more than upper threshold N to overvoltage number data Y
The case where then judge that transformer state is normal.
Specifically, the historical time section obtained in S1 is the historical time of hithermost current time.
Specifically, the setting of upper threshold N needs to set, the size of overvoltage number is adjusted when being occurred according to failure
It is whole, it is counted by many experiments or historical data, finally obtains the critical number of transformer failure.
K value detected test initial data when being 1.1:
K value detected test initial data when being 1.2:
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (2)
1. a kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data, it is characterised in that: including following step
It is rapid:
S1: from the mistake occurred on transformer in the historical time section obtained in overvoltage online monitoring data library not less than one month
Voltage number historical data；
S2: the average value M that overvoltage number historical data is obtained in S1 is found out；
S3: from the real time data for acquiring the overvoltage number Y occurred on transformer in overvoltage online monitoring data library, acquisition frequency
Rate is at least 1 times/day, acquisition time T length at least 7 days；
S4: made the overvoltage number Y functional image corresponding with acquisition time T of S3 acquisition in plane right-angle coordinate；
S5: calculating upper threshold N, N=K × M, and wherein K is constant of the value range 1.1~1.3, and M is the overvoltage in S2
The average value of number historical data；
S6: the case where overvoltage number data Y is with the presence or absence of being more than upper threshold N in S3 is judged, if overvoltage number data Y is deposited
Then issue warning signal be more than upper threshold N the case where, if overvoltage number data Y be not present be more than upper threshold N feelings
Condition then judges that transformer state is normal.
2. a kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data as described in claim 1, special
Sign is: the historical time section obtained in S1 is the historical time of hithermost current time.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710904285.5A CN107782954B (en) | 2017-09-29 | 2017-09-29 | A kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710904285.5A CN107782954B (en) | 2017-09-29 | 2017-09-29 | A kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data |
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| Publication Number | Publication Date |
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| CN107782954A CN107782954A (en) | 2018-03-09 |
| CN107782954B true CN107782954B (en) | 2019-03-22 |
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| CN201710904285.5A Active CN107782954B (en) | 2017-09-29 | 2017-09-29 | A kind of transformer overvoltage method for early warning based on a large amount of overvoltage number data |
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107831355A (en) * | 2017-10-26 | 2018-03-23 | 国网重庆市电力公司检修分公司 | Transformer overvoltage method for early warning based on a large amount of overvoltage number data |
| CN113156326B (en) * | 2021-04-07 | 2022-08-19 | 力高(山东)新能源技术有限公司 | Lithium battery health degree early warning method based on big data |
| CN114279727B (en) * | 2021-12-03 | 2024-02-09 | 国网江苏省电力有限公司宿迁供电分公司 | Method for judging aging of transformer cooling device |
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|---|---|---|---|---|
| CN105067904A (en) * | 2015-07-17 | 2015-11-18 | 云南电力试验研究院(集团)有限公司 | Thunder early warning data evaluation method based on historic thunder positioning data and power grid trip-out data |
| CN106569013A (en) * | 2016-10-26 | 2017-04-19 | 中国电力科学研究院 | Power-grid overvoltage monitoring method and system |
| CN106680574A (en) * | 2016-12-21 | 2017-05-17 | 重庆大学 | Over-voltage sensing and data processing method for substation equipment |
| KR20170105221A (en) * | 2016-03-09 | 2017-09-19 | 삼화디에스피주식회사 | Motor fault alarming apparatus and its method |
-
2017
- 2017-09-29 CN CN201710904285.5A patent/CN107782954B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067904A (en) * | 2015-07-17 | 2015-11-18 | 云南电力试验研究院(集团)有限公司 | Thunder early warning data evaluation method based on historic thunder positioning data and power grid trip-out data |
| KR20170105221A (en) * | 2016-03-09 | 2017-09-19 | 삼화디에스피주식회사 | Motor fault alarming apparatus and its method |
| CN106569013A (en) * | 2016-10-26 | 2017-04-19 | 中国电力科学研究院 | Power-grid overvoltage monitoring method and system |
| CN106680574A (en) * | 2016-12-21 | 2017-05-17 | 重庆大学 | Over-voltage sensing and data processing method for substation equipment |
Non-Patent Citations (2)
| Title |
|---|
| Research on a New Type of Overvoltages Monitoring Sensor and Decoupling Technology;Shaoqing Chen等;《IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY》;20141031;第24卷(第5期);正文1-4 |
| 基于阈值判断和支持向量机的电网实测过电压识别;杨庆等;《高电压技术》;20161031;第42卷(第10期);3188-3198 |
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Effective date of registration: 20231206 Address after: No. 23 Hairuihou Road, Longhua District, Haikou City, Hainan Province, 571100 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF HAINAN POWER GRID Co.,Ltd. Patentee after: Hainan Electric Power Industry Development Co.,Ltd. Address before: 570311 Hai Rui Road, Longhua District, Haikou, Hainan Province, No. 23 Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF HAINAN POWER GRID Co.,Ltd. |
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