CN111125915A - Method for calculating insulation life loss of transformer - Google Patents
Method for calculating insulation life loss of transformer Download PDFInfo
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- CN111125915A CN111125915A CN201911361004.1A CN201911361004A CN111125915A CN 111125915 A CN111125915 A CN 111125915A CN 201911361004 A CN201911361004 A CN 201911361004A CN 111125915 A CN111125915 A CN 111125915A
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- 238000009413 insulation Methods 0.000 title claims abstract description 35
- 238000000034 method Methods 0.000 title claims abstract description 10
- 230000032683 aging Effects 0.000 claims abstract description 11
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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
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- 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
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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 two steps of correcting insulation life aging factors of the transformer and calculating the insulation life loss of the transformer. The invention has the beneficial effects that: 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 condition of the transformer are predicted; the system helps operation and maintenance personnel to make accurate and efficient decisions in time, helps customers to arrange product maintenance in a planned way, accurately provides the quantity to be replaced, and reduces the product inventory; and the hidden danger is effectively eliminated by timely judgment, 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 a power system, is also a core device of a transformer substation, is responsible for important tasks of system electric energy transmission, and the operation condition of the large-scale power transformer is directly related to the safe operation of the system, so that the service life of the transformer becomes the key for whether the power system can stably operate for a long time.
The reliable operation life of the transformer is determined by the state of the insulation structure of the transformer, the main insulation structure of the transformer is oil-paper composite insulation, the history is long and proved to be very suitable for the insulation of high-voltage power equipment, and the insulation paper and the insulation oil can be gradually aged along with time due to the influence of various external actions, such as load, temperature and the like during the operation of the transformer. Since the transformer can be periodically subjected to operations such as oil filtering and oil changing, the aging of the insulating oil has little influence on the life of the transformer. In the aging process, the electrical strength and the mechanical strength of the insulating paper are reduced, the insulating paper cannot be replaced, and the reduction of the 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 service due to their insulation aging is that the mechanical strength of the insulation paper is reduced and does not support sufficient insulation. Therefore, there is a need for a method for determining the degree of aging of the insulation paper, which allows for the assessment of the real-time insulation status of the transformer and the prediction of the remaining operational life of the power transformer.
Disclosure of Invention
The invention aims to provide 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 technical scheme that:
a method for calculating insulation life loss of a transformer comprises the following steps:
a. aging factor F for insulation life of transformerinsAnd (5) correcting:
wherein,
ΘHSTthe hotspot temperature is expressed in DEG C, K is the Boltzmann constant, K is 8.617 × 10-5F is a real-time operation load coefficient of the transformer, h is a correction weight coefficient, 1.2 is taken, c is a load coefficient correction factor of the operation environment, and 0.42 is taken;
b. calculating insulation life loss T of transformeri：
Wherein, Δ tiIs a time interval, Fins，iIs a time interval Δ tiLower corresponding insulation life aging factor, K11And K12In order to correct the coefficients of the coefficients,
when T is more than or equal to 0 and less than or equal to 5a, K 111 is ═ 1; when T is more than 5a and less than or equal to 10a, K111.01; when T is more than 10a and less than or equal to 20a, K111.02; when T is more than 20a and less than or equal to 30a, K111.05; when T > 30a, K111.09; t is equipment commissioning time, and a is a time unit year;
when V is more than 0 and less than or equal to 10, K 121 is ═ 1; when V is more than 10 and less than or equal to 20, K121.01; when V is more than 20 and less than or equal to 30, K121.02; when V > 30, K121.03 percent; v is the micro water content in mg/L.
The invention has the beneficial effects that: 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 condition of the transformer are predicted; the system helps operation and maintenance personnel to make accurate and efficient decisions in time, helps customers to arrange product maintenance in a planned way, accurately provides the quantity to be replaced, and reduces the product inventory; and the hidden danger is effectively eliminated by timely judgment, 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 the loss of transformer life after and three minutes before correction;
FIG. 2 is a table comparing the life of the transformer after and before the 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 life calculation formula is given in the IEC60076-7 guide rule: thetaHST＝Θa+ΔΘT0+ΔΘW. Wherein, thetaHSTIs the hot spot temperature; thetaaIs ambient temperature; delta thetaT0Raising the temperature of the top layer oil; delta thetaWIs the temperature difference of the hot spot temperature relative to the top layer oil temperature.
The IEEE Std C57.91-1995 guide gives a definition of the insulation life aging factor of a transformer at rated load and reference temperature
Because the Arrhenius model is suitable for the condition that the temperature change range is not large, if the temperature change range is large, the model can be used for solving the problem that the temperature change range is largeError generation, it is necessary to FinsAnd (6) correcting. The modified formula:
wherein,
ΘHSTthe hotspot temperature is expressed in DEG C, K is the Boltzmann constant, K is 8.617 × 10-5F is the real-time operation load coefficient of the transformer, h is the correction weight coefficient, 1.2 is taken, and c is the operation environment load coefficient correction factor, 0.42 is taken.
b. By n Δ ti(n number of Deltat)iThe sum of the time is the sampling time of the service life loss calculated at this time, such as 3 minutes), and the insulation service life loss T of the transformer is calculatedi：
Wherein, Δ tiFor a time interval (e.g., 30 seconds, or other time), Fins，iIs a time interval Δ tiLower corresponding insulation life aging factor, K11And K12Is a correction factor.
When T is more than or equal to 0 and less than or equal to 5a, K 111 is ═ 1; when T is more than 5a and less than or equal to 10a, K111.01; when T is more than 10a and less than or equal to 20a, K111.02; when T is more than 20a and less than or equal to 30a, K111.05; when T > 30a, K111.09; t is the equipment commissioning time, and a is the time unit year.
When V is more than 0 and less than or equal to 10, K 121 is ═ 1; when V is more than 10 and less than or equal to 20, K121.01; when V is more than 20 and less than or equal to 30, K121.02; when V > 30, K121.03 percent; v is the micro water content in mg/L.
c. According to Tb＝Ta-TiCalculating the current residual life T of the transformerb. Wherein, TaFor the currently expected insulation life of the transformer (i.e. the expected life of the transformer minus the run time, transformationThe general life expectancy of the vessel is 30 years), TiThe loss of insulation life of the transformer.
Referring to fig. 1 and 2, in fig. 1, a dotted line is a loss curve after correction, a solid line is a loss curve before correction, and a dotted line is a real life loss, which is data measured through actual operation of a 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 examples are only intended to illustrate the technical solution of the present invention and not to limit it; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art will understand that: modifications to the specific embodiments of the invention or equivalent substitutions for parts of the technical features may be made; without departing from the spirit of the present invention, it is intended to cover all aspects of the invention as defined by the appended claims.
Claims (1)
1. A method for calculating the insulation life loss of a transformer is characterized by comprising the following steps:
a. aging factor F for insulation life of transformerinsAnd (5) correcting:
wherein,
ΘHSTthe hotspot temperature is expressed in DEG C, K is the Boltzmann constant, K is 8.617 × 10-5F is a real-time operation load coefficient of the transformer, h is a correction weight coefficient, 1.2 is taken, c is a load coefficient correction factor of the operation environment, and 0.42 is taken;
b. calculating insulation life loss T of transformeri：
Wherein, Δ tiIs a time interval, Fins，iIs a time interval Δ tiLower corresponding insulation life aging factor, K11And K12In order to correct the coefficients of the coefficients,
when T is more than or equal to 0 and less than or equal to 5a, K111 is ═ 1; when T is more than 5a and less than or equal to 10a, K111.01; when T is more than 10a and less than or equal to 20a, K111.02; when T is more than 20a and less than or equal to 30a, K111.05; when T > 30a, K111.09; t is equipment commissioning time, and a is a time unit year;
when V is more than 0 and less than or equal to 10, K121 is ═ 1; when V is more than 10 and less than or equal to 20, K121.01; when V is more than 20 and less than or equal to 30, K121.02; when V > 30, K121.03 percent; v is the micro water content in mg/L.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111999608A (en) * | 2020-07-27 | 2020-11-27 | 北京智芯微电子科技有限公司 | Monitoring method and monitoring system of distribution transformer and intelligent terminal |
| CN113408800A (en) * | 2021-06-21 | 2021-09-17 | 南京海关工业产品检测中心 | Cross-border renewable resource industrial product quality prediction method and system |
Citations (6)
| 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 |
| 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 |
| 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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- 2019-12-25 CN CN201911361004.1A patent/CN111125915B/en active Active
Patent Citations (6)
| 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 |
| 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 |
| 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 |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111999608A (en) * | 2020-07-27 | 2020-11-27 | 北京智芯微电子科技有限公司 | Monitoring method and monitoring system of distribution transformer and intelligent terminal |
| 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 |
| CN113408800A (en) * | 2021-06-21 | 2021-09-17 | 南京海关工业产品检测中心 | Cross-border renewable resource industrial product quality prediction method and system |
| 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 |
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