CN111125915B - Method for calculating insulation life loss of transformer - Google Patents
Method for calculating insulation life loss of transformer Download PDFInfo
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- CN111125915B CN111125915B CN201911361004.1A CN201911361004A CN111125915B CN 111125915 B CN111125915 B CN 111125915B CN 201911361004 A CN201911361004 A CN 201911361004A CN 111125915 B CN111125915 B CN 111125915B
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- 238000009413 insulation Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 9
- 230000032683 aging Effects 0.000 claims abstract description 11
- 238000012937 correction Methods 0.000 claims description 11
- 238000012423 maintenance Methods 0.000 abstract description 4
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000004364 calculation method Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention discloses a method for calculating insulation life loss of a transformer, which belongs to the technical field of transformers and comprises the steps of correcting insulation life aging factors of the transformer and calculating the insulation life loss of the transformer. The beneficial effects of the invention are as follows: by monitoring key data of the running state of the transformer, the insulation life loss can be accurately calculated, and further the residual life and the overall running state of the transformer can be predicted; the operation and maintenance personnel can be timely helped to make accurate and efficient decisions, the clients can be helped to schedule the maintenance of the products in a planned way, the quantity required to be replaced can be accurately provided, and the inventory of the products can be reduced; and the hidden danger is effectively eliminated by timely judging, the downtime is reduced, and the power supply is ensured.
Description
Technical Field
The invention belongs to the technical field of transformers, and particularly relates to a method for calculating insulation life loss of a transformer.
Background
The large-scale power transformer is a main device in the power system, is also a core device of a transformer substation, is responsible for important tasks of system electric energy transmission, and has an operation condition directly related to safe operation of the system, so that the service life of the transformer becomes a key for long-term stable operation of the power system.
The service life of the reliable operation of the transformer is determined by the state of an insulating structure of the transformer, while the main insulating structure of the transformer is oil paper composite insulation, which has long history and is proved to be very suitable for the insulation of high-voltage power equipment, and the insulating paper and the insulating oil are gradually aged with time due to the influence of various external effects, such as load, temperature and the like when the transformer operates. Since the transformer can perform operations such as oil filtration and oil change at regular intervals, the aging of the insulating oil has little influence on the life of the transformer. In the case of insulating paper, the electrical strength and mechanical strength of the insulating paper are reduced in the aging process, and the insulating paper cannot be replaced, but the reduction of mechanical strength is particularly obvious. In addition, a great deal of research has found that the root cause of most transformers being taken out of operation due to their insulation aging is that the mechanical strength of the insulation paper is reduced and sufficient insulation cannot be supported. Therefore, a method is needed to determine the aging degree of the insulating paper, so that the real-time insulation state of the transformer can be evaluated and the residual operation life of the power transformer can be predicted.
Disclosure of Invention
The invention aims to solve the technical problem of providing a method for calculating the insulation life loss of a transformer, which can accurately predict the residual life of the transformer.
In order to solve the technical problems, the invention adopts the following technical scheme:
a calculation method of insulation life loss of a transformer comprises the following steps:
a. aging factor F for insulation life of transformer ins And (3) correcting:
wherein,Θ HST is the temperature of the hot spot, in degrees centigrade, K is the boltzmann constant, k= 8.617 ×10 -5 F is a real-time operation load coefficient of the transformer, h is a correction weight coefficient, 1.2 is taken, c is an operation environment load coefficient correction factor, and 0.42 is taken;
b. calculating insulation life loss T of transformer i ：
Wherein Δt is i For time interval F ins，i For a time interval delta t i The corresponding insulation life aging factor, K 11 And K 12 In order to correct the coefficient of the coefficient,
when T is more than or equal to 0 and less than or equal to 5a, K is 11 =1; when T is more than 5a and less than or equal to 10a, K 11 =1.01; when T is more than 10a and less than or equal to 20a, K 11 =1.02; k is greater than or equal to 30a when T is greater than 20a 11 =1.05; when T > 30a, K 11 =1.09; t is equipment operation time, and a is time unit year;
when 0 < V.ltoreq.10, K 12 =1; when V is more than 10 and less than or equal to 20, K 12 =1.01; when V is more than 20 and less than or equal to 30, K 12 =1.02; when V > 30, K 12 =1.03; v is the micro water content, and the unit is mg/L.
The beneficial effects of the invention are as follows: by monitoring key data of the running state of the transformer, the insulation life loss can be accurately calculated, and further the residual life and the overall running state of the transformer can be predicted; the operation and maintenance personnel can be timely helped to make accurate and efficient decisions, the clients can be helped to schedule the maintenance of the products in a planned way, the quantity required to be replaced can be accurately provided, and the inventory of the products can be reduced; and the hidden danger is effectively eliminated by timely judging, the downtime is reduced, and the power supply is ensured.
The present invention will be described in detail with reference to the accompanying drawings.
Drawings
FIG. 1 is a graph of loss of transformer life in three minutes after and before correction;
fig. 2 is a table of data comparison of the lifetime of the transformer after and before correction.
Detailed Description
The invention provides a method for calculating insulation life loss of a transformer, which comprises the following steps.
a. The hot spot temperature lifetime calculation formula is given in the IEC60076-7 code: theta (theta) HST ＝Θ a +ΔΘ T0 +ΔΘ W . Wherein Θ is HST Is the hot spot temperature; theta (theta) a Is ambient temperature; ΔΘ T0 Temperature rise for top oil; ΔΘ W Is the temperature difference of the hot spot temperature relative to the top layer oil temperature.
IEEE Std C57.91-1995 guidance gives a definition of the insulation life aging factor of a transformer at rated load and reference temperatureAs the Arrhenius model is suitable for the condition of small temperature change range, if the temperature change range is large, the model can generate errors and F is needed ins And (5) performing correction. The modified formula:
wherein,Θ HST is the temperature of the hot spot, in degrees centigrade, K is the boltzmann constant, k= 8.617 ×10 -5 F is a real-time operation load coefficient of the transformer, h is a correction weight coefficient, 1.2 is taken, c is an operation environment load coefficient correction factor, and 0.42 is taken.
b. By n deltat i (n deltat) i The sum of the time, i.e. the sampling time of the current calculated life loss, e.g. 3 minutes), the insulation life agesFactor accumulation, calculating insulation life loss T of transformer i ：
Wherein Δt is i For time intervals (e.g. 30 seconds or other times), F ins，i For a time interval delta t i The corresponding insulation life aging factor, K 11 And K 12 Is a correction coefficient.
When T is more than or equal to 0 and less than or equal to 5a, K is 11 =1; when T is more than 5a and less than or equal to 10a, K 11 =1.01; when T is more than 10a and less than or equal to 20a, K 11 =1.02; k is greater than or equal to 30a when T is greater than 20a 11 =1.05; when T > 30a, K 11 =1.09; t is equipment operation time, and a is time unit year.
When 0 < V.ltoreq.10, K 12 =1; when V is more than 10 and less than or equal to 20, K 12 =1.01; when V is more than 20 and less than or equal to 30, K 12 =1.02; when V > 30, K 12 =1.03; v is the micro water content, and the unit is mg/L.
c. According to T b ＝T a -T i Calculating the residual life T of the current transformer b . Wherein T is a For the current expected insulating life of the transformer (i.e. the expected life of the transformer minus the run time, the typical expected life of the transformer is 30 years), T i Is the insulation life loss of the transformer.
Referring to fig. 1 and 2, the dotted line in fig. 1 is a corrected loss curve, the solid line is a loss curve before correction, the dotted line is a real life loss, and the real life loss is data measured through actual operation of the transformer. Therefore, the method can effectively predict the insulation life loss and the residual life of the transformer.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same; while the invention has been described in detail with reference to the preferred embodiments, those skilled in the art will appreciate that: modifications may be made to the specific embodiments of the present invention or equivalents may be substituted for part of the technical features thereof; without departing from the spirit of the invention, it is intended to cover the scope of the invention as claimed.
Claims (1)
1. The method for calculating the insulation life loss of the transformer is characterized by comprising the following steps of:
a. aging factor F for insulation life of transformer ins And (3) correcting:
wherein,Θ HST is the temperature of the hot spot, in degrees centigrade, K is the boltzmann constant, k= 8.617 ×10 -5 F is a real-time operation load coefficient of the transformer, h is a correction weight coefficient, 1.2 is taken, c is an operation environment load coefficient correction factor, and 0.42 is taken;
b. calculating insulation life loss T of transformer i ：
Wherein Δt is i For time interval F ins，i For a time interval delta t i The corresponding insulation life aging factor, K 11 And K 12 In order to correct the coefficient of the coefficient,
when T is more than or equal to 0 and less than or equal to 5a, K is 11 =1; when T is more than 5a and less than or equal to 10a, K 11 =1.01; when T is more than 10a and less than or equal to 20a, K 11 =1.02; k is greater than or equal to 30a when T is greater than 20a 11 =1.05; when T > 30a, K 11 =1.09; t is equipment operation time, and a is time unit year;
when 0 < V.ltoreq.10, K 12 =1; when V is more than 10 and less than or equal to 20, K 12 =1.01; when V is more than 20 and less than or equal to 30, K 12 =1.02; when V > 30, K 12 =1.03; v is micro waterThe content is in mg/L.
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| CN201911361004.1A CN111125915B (en) | 2019-12-25 | 2019-12-25 | Method for calculating insulation life loss of transformer |
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| CN111999608B (en) * | 2020-07-27 | 2023-04-18 | 北京智芯微电子科技有限公司 | Monitoring method and monitoring system of distribution transformer and intelligent terminal |
| CN113408800B (en) * | 2021-06-21 | 2024-05-31 | 南京海关工业产品检测中心 | Cross-border renewable resource industrial product quality prediction method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07159471A (en) * | 1993-12-13 | 1995-06-23 | Mitsubishi Denki Bill Techno Service Kk | Device for diagnosing remaining service life of oil-immersed transformer |
| JP2001153756A (en) * | 1999-11-29 | 2001-06-08 | Toshiba Corp | Method for predicting crack developing of turbine rotor |
| CN102096030A (en) * | 2010-12-10 | 2011-06-15 | 西安交通大学 | Method for estimating residual insulation service life of power transformer based on operating data |
| CN103884818A (en) * | 2014-03-31 | 2014-06-25 | 苏州热工研究院有限公司 | Method for measuring activation energy of transformer insulating paper and method for predicting service life of transformer insulating paper |
| CN109598061A (en) * | 2018-12-03 | 2019-04-09 | 西南交通大学 | A kind of monitoring method of transformer group mean life loss |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180003759A1 (en) * | 2016-06-30 | 2018-01-04 | Tech Mahindra Limited | System and method for accurately monitoring and computing ageing life of a transformer in a smart grid framework |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07159471A (en) * | 1993-12-13 | 1995-06-23 | Mitsubishi Denki Bill Techno Service Kk | Device for diagnosing remaining service life of oil-immersed transformer |
| JP2001153756A (en) * | 1999-11-29 | 2001-06-08 | Toshiba Corp | Method for predicting crack developing of turbine rotor |
| CN102096030A (en) * | 2010-12-10 | 2011-06-15 | 西安交通大学 | Method for estimating residual insulation service life of power transformer based on operating data |
| CN103884818A (en) * | 2014-03-31 | 2014-06-25 | 苏州热工研究院有限公司 | Method for measuring activation energy of transformer insulating paper and method for predicting service life of transformer insulating paper |
| CN109598061A (en) * | 2018-12-03 | 2019-04-09 | 西南交通大学 | A kind of monitoring method of transformer group mean life loss |
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