CN112698161B - Method for predicting residual life of oil-paper insulation of traction transformer bushing - Google Patents
Method for predicting residual life of oil-paper insulation of traction transformer bushing Download PDFInfo
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- CN112698161B CN112698161B CN202011399338.0A CN202011399338A CN112698161B CN 112698161 B CN112698161 B CN 112698161B CN 202011399338 A CN202011399338 A CN 202011399338A CN 112698161 B CN112698161 B CN 112698161B
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- 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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
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Abstract
The invention discloses a method for predicting the residual life of oil-paper insulation of a traction transformer bushing. Simulating the normal running state of the transformer bushing through the test platform; measuring real-time current data by using a current information acquisition device and measuring the surface temperature of the sleeve by using a temperature sensor; then, a sleeve simulation model is built, and model verification is carried out by using the calculated value and the measured value; establishing a calculation equation of the highest point of the casing temperature through fitting; measuring the load current and real-time environment temperature of a traction transformer bushing needing to be subjected to oil paper insulation aging rate analysis; and predicting the residual life of the oil paper insulation of the traction transformer bushing. The method can accurately predict the residual life of the oil paper insulation of the traction transformer bushing.
Description
Technical Field
The invention belongs to the field of assessment of oil-paper insulation states of transformer bushings, and particularly relates to a method for predicting the residual life of oil-paper insulation of a traction transformer bushing.
Background
The traction transformer bushing is an important device in a traction power supply system, is an external connecting device of a transformer and plays a role in mechanical support and insulation. A transformer bushing is one of main insulation of a transformer, and a large number of researches show that most of transformer faults are caused by bushing faults, and the performance of the transformer bushing directly influences the safety and reliability of the operation of a power system.
With the continuous development of high-speed rails in China, a large number of traction transformer bushings are put into use. The oiled paper capacitor bushing is widely applied to traction transformers due to simple manufacturing process and excellent insulating property, but the oiled paper filled oil-immersed bushing has poor heat resistance and is a weak link in the transformers. Along with the change of the internal temperature of the traction transformer bushing, the oil-paper insulation service life is seriously influenced, the oil-paper insulation aging condition caused by the fluctuation of impact load is different from that of the power transformer bushing, namely the prediction method of the residual service life is also different, so that the residual service life of the oil-paper insulation of the traction transformer bushing is urgently needed to be predicted.
Disclosure of Invention
In order to accurately predict the oil paper insulation residual life of the sleeve of the traction transformer, the invention provides a prediction method of the oil paper insulation residual life of the sleeve of the traction transformer, which comprises the following steps:
1. the method for predicting the residual life of the oil paper insulation of the traction transformer bushing is characterized by comprising the following steps of:
the first step is as follows: set up test platform
The method comprises the steps of building a prediction research test platform for the residual oil-paper insulation life of a traction transformer sleeve, and mainly comprising the traction transformer sleeve (1), a first temperature sensor (2a), a second temperature sensor (2b), a third temperature sensor (2c), a fourth temperature sensor (2d), a fifth temperature sensor (2e), a first support (3a), a second support (3b), a traction load generating device (4), a comprehensive grounding device (5), a computer (6), a current transformer (7), a current information acquisition device (8) and a temperature measurement integrated module (9); a first bracket (3a) and a second bracket (3b) are used for respectively supporting the upper end and the lower end of a traction transformer sleeve (1), the upper end is close to the oil pillow side of the sleeve, and the lower end is close to the oil tank of the transformer; an electric main loop is formed by a traction transformer bushing (1), a traction load generating device (4) and a comprehensive grounding device (5), and the normal running state of the traction transformer bushing (1) is simulated; the comprehensive grounding (5) is used for protecting the device, a current transformer (7) is arranged in a main loop and outputs the current transformer to a current information acquisition device (8), and the current information acquisition device (8) is connected with a computer (6); the first temperature sensor (2a), the second temperature sensor (2b), the third temperature sensor (2c), the fourth temperature sensor (2d) and the fifth temperature sensor (2e) are respectively fixed at the upper end of the traction transformer bushing (1), the length position away from the upper end 1/4 bushing, the middle position, the length position away from the lower end 1/4 bushing and the lower end position, are connected with the temperature measurement integrated module (9), and then transmit temperature information into the computer (6);
the second step is that: obtaining data
Starting a traction load generating device (4), simulating the current and voltage borne by a traction transformer bushing (1) under normal working conditions, measuring real-time current data I (t), wherein the units A and t are time variables, transmitting the real-time current data I (t) to a computer end through a current information acquisition device (8), enabling a bushing temperature field to tend to be stable after one hour, and enabling the bushing temperature field to tend to be stable through a first temperature sensor (2a), a second temperature sensor (2b),The third temperature sensor (2c), the fourth temperature sensor (2d), the fifth temperature sensor (2e) and the temperature measurement integrated module (9) measure the surface temperature T of the sleeve1、T2、T3、T4、T5And the ambient temperature Ta(t) in units;
the third step: building and verifying sleeve simulation model
According to parameters provided by a traction transformer bushing (1) manufacturer, building completely same bushing models in multi-physical-field simulation software; inputting real-time current data I (T) and ambient temperature T into the casing modela(T) calculating the temperature field distribution of the sleeve after one hour, and taking the calculated temperature at the upper end, the sleeve length position from the upper end 1/4, the middle position, the sleeve length position from the lower end 1/4 and the lower end of the traction transformer sleeve (1) as T1′、T2′、T3′、T4′、T5' the accuracy of the model is set to P, which is expressed as:
wherein i represents the ith sensor;
when the value of P is less than 2%, the model meets the precision requirement;
the fourth step: establishing a temperature peak equation
Calculating to obtain the highest temperature data T in the casing according to the casing simulation modelm(T) and using the real-time current data I (T) and the ambient temperature Ta(T) is a variable, Tm(T) is the target fitting function f (I (T), Ta(t)), obtaining:
Tm(t)＝f(I(t)，Ta(t))
the fifth step: equivalent calculation of casing temperature
Measuring load current I of traction transformer bushing needing oil paper insulation aging rate analysisload(T) and real-time ambient temperature Tamb(T), calculating the maximum temperature data T of the transformer bushing under the actual working condition according to the fitting equationmax(t)：
Tmax(t)＝f(Iload(t)，Tamb(t))
And a sixth step: remaining life prediction
According to the maximum temperature data T of the traction transformer sleeve in one daymax(T) calculating the temperature T of the hot spotmax(t) when the temperature is between 80 ℃ and 140 ℃, the oil paper insulation aging rate V (t) of the sleeve of the traction transformer is as follows:
the residual life days S of the oil paper insulation of the traction transformer bushing under the action of thermal aging can be obtained as follows:
the method has the advantages that the influence of the fluctuation of the impact load on the aging of the oil paper insulation is considered, and the residual life of the oil paper insulation can be more accurately predicted.
Drawings
FIG. 1 is a flow chart of the prediction of the residual life of the oil-paper insulation of a traction transformer bushing.
Fig. 2 is a schematic structural diagram of a prediction test platform for the residual life of the oil-paper insulation of a traction transformer bushing.
Detailed Description
The following describes the implementation of the present invention in detail with reference to the accompanying drawings and examples.
1. The method for predicting the residual life of the oil paper insulation of the traction transformer bushing is characterized by comprising the following steps of:
the first step is as follows: set up test platform
The method comprises the steps of building a prediction research test platform for the residual oil-paper insulation life of a traction transformer sleeve, and mainly comprising the traction transformer sleeve (1), a first temperature sensor (2a), a second temperature sensor (2b), a third temperature sensor (2c), a fourth temperature sensor (2d), a fifth temperature sensor (2e), a first support (3a), a second support (3b), a traction load generating device (4), a comprehensive grounding device (5), a computer (6), a current transformer (7), a current information acquisition device (8) and a temperature measurement integrated module (9); a first bracket (3a) and a second bracket (3b) are used for respectively supporting the upper end and the lower end of a traction transformer sleeve (1), the upper end is close to the oil pillow side of the sleeve, and the lower end is close to the oil tank of the transformer; an electric main loop is formed by a traction transformer bushing (1), a traction load generating device (4) and a comprehensive grounding device (5), and the normal running state of the traction transformer bushing (1) is simulated; the comprehensive grounding (5) is used for protecting the device, a current transformer (7) is arranged in a main loop and outputs the current transformer to a current information acquisition device (8), and the current information acquisition device (8) is connected with a computer (6); the first temperature sensor (2a), the second temperature sensor (2b), the third temperature sensor (2c), the fourth temperature sensor (2d) and the fifth temperature sensor (2e) are respectively fixed at the upper end of the traction transformer bushing (1), the length position away from the upper end 1/4 bushing, the middle position, the length position away from the lower end 1/4 bushing and the lower end position, are connected with the temperature measurement integrated module (9), and then transmit temperature information into the computer (6);
the second step is that: obtaining data
The traction load generation device (4) is started, the current and the voltage born by the traction transformer bushing (1) under the normal working condition are simulated, the real-time current data I (T) are measured, the unit A and the unit T are time variables, the real-time current data I (T) are transmitted to a computer end through the current information acquisition device (8), after one hour, the bushing temperature field tends to be stable, and the bushing surface temperature T is measured through the first temperature sensor (2a), the second temperature sensor (2b), the third temperature sensor (2c), the fourth temperature sensor (2d), the fifth temperature sensor (2e) and the temperature measurement integrated module (9)1、T2、T3、T4、T5And the ambient temperature Ta(t) in units;
the third step: building and verifying sleeve simulation model
According to parameters provided by a traction transformer bushing (1) manufacturer, building completely same bushing models in multi-physical-field simulation software; inputting real-time electricity in casing modelFlow data I (T), ambient temperature Ta(T) calculating the temperature field distribution of the sleeve after one hour, and taking the calculated temperature at the upper end, the sleeve length position from the upper end 1/4, the middle position, the sleeve length position from the lower end 1/4 and the lower end of the traction transformer sleeve (1) as T1′、T2′、T3′、T4′、T5' the accuracy of the model is set to P, which is expressed as:
wherein i represents the ith sensor;
when the value of P is less than 2%, the model meets the precision requirement;
the fourth step: establishing a temperature peak equation
Calculating to obtain the highest temperature data T in the casing according to the casing simulation modelm(T) and using the real-time current data I (T) and the ambient temperature Ta(T) is a variable, Tm(T) is the target fitting function f (I (T), Ta(t)), obtaining:
Tm(t)＝f(I(t)，Ta(t))
the fifth step: equivalent calculation of casing temperature
Measuring load current I of traction transformer bushing needing oil paper insulation aging rate analysisload(T) and real-time ambient temperature Tamb(T), calculating the maximum temperature data T of the transformer bushing under the actual working condition according to the fitting equationmax(t)：
Tmax(t)＝f(Iload(t)，Tamb(t))
And a sixth step: remaining life prediction
According to the maximum temperature data T of the traction transformer sleeve in one daymax(T) calculating the temperature T of the hot spotmax(t) when the temperature is between 80 ℃ and 140 ℃, the oil paper insulation aging rate V (t) of the sleeve of the traction transformer is as follows:
the residual life days S of the oil paper insulation of the traction transformer bushing under the action of thermal aging can be obtained as follows:
Claims (1)
1. the method for predicting the residual life of the oil paper insulation of the traction transformer bushing is characterized by comprising the following steps of:
the first step is as follows: set up test platform
The method comprises the steps of building a prediction research test platform for the residual oil-paper insulation life of a traction transformer sleeve, and mainly comprising the traction transformer sleeve (1), a first temperature sensor (2a), a second temperature sensor (2b), a third temperature sensor (2c), a fourth temperature sensor (2d), a fifth temperature sensor (2e), a first support (3a), a second support (3b), a traction load generating device (4), a comprehensive grounding device (5), a computer (6), a current transformer (7), a current information acquisition device (8) and a temperature measurement integrated module (9); the upper end and the lower end of a traction transformer bushing (1) are respectively supported by a first support (3a) and a second support (3b), the upper end is close to the bushing oil pillow side, and the lower end is close to the transformer oil tank side; an electric main loop is formed by a traction transformer bushing (1), a traction load generating device (4) and a comprehensive grounding device (5), and the normal running state of the traction transformer bushing (1) is simulated; the comprehensive grounding (5) is used for protecting the device, a current transformer (7) is arranged in a main loop and outputs the current transformer to a current information acquisition device (8), and the current information acquisition device (8) is connected with a computer (6); the first temperature sensor (2a), the second temperature sensor (2b), the third temperature sensor (2c), the fourth temperature sensor (2d) and the fifth temperature sensor (2e) are respectively fixed at the upper end of the traction transformer bushing (1), the length position away from the upper end 1/4 bushing, the middle position, the length position away from the lower end 1/4 bushing and the lower end position, are connected with the temperature measurement integrated module (9), and then transmit temperature information into the computer (6);
the second step is that: obtaining data
The traction load generation device (4) is started, the current and the voltage born by a traction transformer bushing (1) under the normal working condition are simulated, the real-time current data I (T) are measured, the unit A and the unit T are time variables, the real-time current data I (T) are transmitted to a computer end through a current information acquisition device (8), after one hour, the bushing temperature field tends to be stable, and the bushing surface temperature T is respectively measured through a first temperature sensor (2a), a second temperature sensor (2b), a third temperature sensor (2c), a fourth temperature sensor (2d), a fifth temperature sensor (2e) and a temperature measurement integrated module (9) to obtain the bushing surface temperature T1、T2、T3、T4、T5And the ambient temperature Ta(t) in units;
the third step: building and verifying sleeve simulation model
According to parameters provided by a traction transformer bushing (1) manufacturer, building completely same bushing models in multi-physical-field simulation software; inputting real-time current data I (T) and ambient temperature T into the casing modela(T), calculating the temperature field distribution of the sleeve after one hour, and taking the calculated temperatures at the upper end, the sleeve length position 1/4 away from the upper end, the sleeve length position in the middle, the sleeve length position 1/4 away from the lower end and the lower end of the traction transformer sleeve (1) as T respectively1′、T2′、T3′、T4′、T5' the accuracy of the model is set to P, which is expressed as:
wherein i represents the ith sensor;
when the value of P is less than 2%, the model meets the precision requirement;
the fourth step: establishing a temperature peak equation
Calculating to obtain the highest temperature data T in the casing according to the casing simulation modelm(T) and using the real-time current data I (T) and the ambient temperature Ta(T) is a variable, Tm(T) is the target fitting function f (I (T), Ta(t)), obtaining:
Tm(t)＝f(I(t)，Ta(t))
the fifth step: equivalent calculation of casing temperature
Measuring load current I of traction transformer bushing needing oil paper insulation aging rate analysisload(T) and real-time ambient temperature Tamb(T), calculating the maximum temperature data T of the transformer bushing under the actual working condition according to the fitting equationmax(t)：
Tmax(t)＝f(Iload(t)，Tamb(t))
And a sixth step: remaining life prediction
According to the maximum temperature data T of the traction transformer sleeve in one daymax(T) calculating the temperature T of the hot spotmax(t) when the temperature is between 80 ℃ and 140 ℃, the oil paper insulation aging rate V (t) of the sleeve of the traction transformer is as follows:
the residual life days S of the oil paper insulation of the traction transformer bushing under the action of thermal aging can be obtained as follows:
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| US9465066B2 (en) * | 2014-02-18 | 2016-10-11 | Alcatel Lucent | Transformer evaluation |
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