CN115639274A - Transformer conservator capsule aging evaluation system and method - Google Patents

Transformer conservator capsule aging evaluation system and method Download PDF

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Publication number
CN115639274A
CN115639274A CN202211302370.1A CN202211302370A CN115639274A CN 115639274 A CN115639274 A CN 115639274A CN 202211302370 A CN202211302370 A CN 202211302370A CN 115639274 A CN115639274 A CN 115639274A
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conservator
capsule
transformer
conservator capsule
peak
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王东
李强
秦莹
李勇
黄凯
王心琦
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PowerChina Chengdu Engineering Co Ltd
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PowerChina Chengdu Engineering Co Ltd
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Abstract

The invention relates to the field of transformer monitoring, and provides a transformer conservator capsule aging evaluation system for conveniently judging the aging condition of a transformer conservator capsule. The transformer conservator capsule aging evaluation method comprises the following steps: step 1, using a transformer conservator capsule aging evaluation system to acquire data of a tested conservator; step 2, acquiring characteristic data from the acquired data, step 3, calculating an influence factor of the aging temperature of the conservator capsule and a fatigue factor of the conservator capsule according to the characteristic data; step 4, calculating an aging evaluation coefficient of the conservator capsule; and 5, evaluating the ageing of the conservator according to the ageing evaluation coefficient of the conservator capsule. By adopting the mode, the aging condition of the transformer conservator capsule can be conveniently judged.

Description

Transformer conservator capsule aging evaluation system and method
Technical Field
The invention relates to the field of transformer monitoring, in particular to a transformer conservator capsule aging evaluation system and method.
Background
Transformers are important devices in electrical power systems as electrical power equipment for transforming, transporting and distributing electrical energy in electrical power systems. The oil conservator is an important component of the transformer, and once the oil conservator of the transformer fails, the stable operation of a power system is influenced. In recent years, the aging of the transformer conservator capsule cannot be known in time, so that a serious power accident is caused. Therefore, in order to effectively evaluate the aging degree of the transformer conservator capsule and improve the stability of a power system, a transformer conservator capsule aging evaluation method is urgently needed.
Disclosure of Invention
In order to facilitate the judgment of the aging condition of the transformer conservator capsule, a transformer conservator capsule aging evaluation system and a transformer conservator capsule aging evaluation method are provided.
The technical scheme adopted by the invention for solving the problems is as follows:
transformer conservator capsule ageing evaluation system includes: intelligence respirator, air duct, conservator, transformer oil and capsule still include: temperature sensor, humidity transducer, first ultrasonic sensor, second ultrasonic sensor, paster temperature sensor and data processing center, temperature sensor, humidity transducer set up in the space between intelligent respirator and air duct, and first ultrasonic sensor sets up in conservator surface top, and second ultrasonic sensor sets up in conservator surface below, and paster temperature sensor sets up at the conservator lateral surface, and temperature sensor, humidity transducer, first ultrasonic sensor, second ultrasonic sensor, paster temperature sensor all are connected with data processing center, data processing center is used for handling the data of gathering in order to accomplish the ageing evaluation of conservator.
Furthermore, the first ultrasonic sensor and the second ultrasonic sensor are arranged in an up-down symmetrical mode.
The transformer conservator capsule aging assessment method is applied to a transformer conservator capsule aging assessment system and comprises the following steps:
step 1, using a transformer conservator capsule aging evaluation system to acquire data of a tested conservator;
step 2, obtaining characteristic data from the collected data, including:
the maximum temperature value Y corresponding to the temperature sensor max1 Time T to reach maximum temperature 1 Minimum temperature value Y min1
Maximum moisture content Q corresponding to humidity sensor max1 Time T until maximum moisture content is reached 2 Duration of maximum moisture content T 3
Peak value V corresponding to the first ultrasonic sensor max1 Starting time T of rising peak i4 End time T of rising peak i5 Wavelength of rising Peak r i1 Starting time T of falling peak xj4 End time T of falling peak xj5 Wavelength of falling peak r i2
Peak value V corresponding to the second ultrasonic sensor max2 Starting time T of rising peak j6 End time T of rising peak j7 Wavelength of rising Peak r j3 Starting time T of falling peak xj6 End time T of falling peak xj7 Wavelength of falling peak r j4
Maximum temperature Y corresponding to patch temperature sensor max2 Time T to reach maximum temperature 8 Minimum temperature value Y min2
And 3, calculating an influence factor K of the ageing temperature of the conservator capsule and a fatigue factor G of the conservator capsule according to the characteristic data, wherein the calculation formula is as follows:
Figure BDA0003905332290000021
Figure BDA0003905332290000022
n is the number of wave crests in the acquisition time;
step 4, calculating an oil conservator capsule aging evaluation coefficient L according to an oil conservator capsule aging temperature influence factor K and an oil conservator capsule fatigue factor G, wherein the calculation formula is as follows:
Figure BDA0003905332290000023
in the formula, a, b and c are the calculation weights of the conservator capsule aging evaluation coefficient L, and P is an environmental factor influence and an error influence factor;
and 5, evaluating the ageing of the conservator according to the ageing evaluation coefficient L of the conservator capsule.
Further, in step 4, 0.2 yarn-woven (a) and 0.3 yarn-woven (b) yarn-woven (0.5), 0.5 yarn-woven (c) yarn-woven (0.8) and 0.05 yarn-woven (P) yarn-woven (0.12) are provided.
Further, the step 1 acquires a data change curve when the data is acquired.
Further, the step 5 specifically includes: if L is more than or equal to 10, the transformer conservator capsule is seriously aged; if L is more than or equal to 2 and less than 10, the transformer conservator capsule is aged generally; if L <2, the transformer conservator capsule is less aged.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the influence factor of the ageing temperature of the conservator capsule and the fatigue factor of the conservator capsule are calculated according to the characteristic parameters, so that the ageing evaluation coefficient of the conservator capsule is calculated, and the ageing condition of the transformer conservator capsule can be effectively evaluated by the ageing evaluation coefficient of the conservator capsule; the method can quickly and accurately evaluate the aging state of the transformer conservator capsule, and ensures the safe and stable operation of the power system.
Drawings
FIG. 1 is a schematic diagram of a transformer conservator capsule aging evaluation system;
FIG. 2 is a flow chart of a method for evaluating aging of a capsule of a transformer conservator;
description of the drawings: 1. the intelligent respirator comprises an intelligent respirator, 2, a temperature sensor, 3, a humidity sensor, 4, an air guide pipe, 5, a first ultrasonic sensor, 6, a second ultrasonic sensor, 7, a patch temperature sensor, 8, transformer oil, 9, an oil conservator, 10, a capsule, 11, an intelligent respirator control room, 12, a data acquisition unit, 13 and a terminal machine.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the transformer conservator capsule aging evaluation system comprises: intelligence respirator 1, air duct 4, conservator 9, transformer oil 8 and capsule 10 still include: temperature sensor 2, humidity transducer 3, first ultrasonic sensor 5, second ultrasonic sensor 6, paster temperature sensor 7 and data processing center, temperature sensor 2, humidity transducer 3 set up in the space between intelligent respirator 1 and air duct 4, and first ultrasonic sensor 5 sets up in conservator 9 surface top, and second ultrasonic sensor 6 sets up in conservator 9 surface below, and paster temperature sensor 7 sets up in conservator 9 lateral surface, and temperature sensor 2, humidity transducer 3, first ultrasonic sensor 5, second ultrasonic sensor 6, paster temperature sensor 7 all are connected with data processing center, data processing center is used for handling the data of gathering in order to accomplish the ageing evaluation of conservator.
Specifically, in this embodiment, the data processing center includes a data collector 12 and a terminal 13, the data collector 12 is configured to receive data information collected by the sensor and transmit the data information to the terminal 13, and the terminal 13 is provided with a control program for implementing the transformer conservator capsule aging evaluation method.
Preferably, the first ultrasonic sensor 5 and the second ultrasonic sensor 6 are disposed vertically symmetrically.
The transformer conservator capsule aging evaluation method comprises the following steps:
step 1, using a transformer conservator capsule aging evaluation system to acquire data of a tested conservator; in order to facilitate obtaining the characteristic data, the embodiment obtains a data change curve when the data is collected;
step 2, obtaining characteristic data from the collected data, including:
extracting the highest temperature value Y according to the temperature change curve of the temperature sensor max1 Time T to reach maximum temperature in Unit DEG C 1 Unit s, lowest temperature value Y min1 In units of;
extracting the maximum water content Q according to the moisture content change curve of the humidity sensor max1 Unit of g/cm 2 Time T until maximum moisture content is reached 2 Unit s, duration of maximum moisture content T 3 The unit s;
extracting a peak value V of a signal curve according to the signal curve of the first ultrasonic sensor max1 In cm, starting time T of rising peak i4 Unit s, end time T of rising peak i5 Unit s, wavelength of rising peak r i1 In cm, starting time T of falling peak xj4 Unit s, end time T of falling peak xj5 Unit s, wavelength of falling peak r i2 In units of cm;
extracting the peak value V of the signal curve according to the signal curve of the second ultrasonic sensor max2 In cm, starting time T of rising peak j6 Unit s, end time T of rising peak j7 Unit s, wavelength of rising peak r j3 In cm, starting time T of falling peak xj6 Unit s, end time T of falling peak xj7 Unit s, wavelength of falling peak r j4 The unit is cm;
extracting the highest temperature Y according to the temperature change curve of the patch temperature sensor max2 Time T to reach the maximum temperature in units of DEG C 8 Unit s, lowest temperature value Y min2 In units of;
and 3, calculating an influence factor K of the ageing temperature of the conservator capsule and a fatigue factor G of the conservator capsule according to the characteristic data, wherein the calculation formula is as follows:
Figure BDA0003905332290000041
Figure BDA0003905332290000042
n is the number of wave crests in the acquisition time;
step 4, calculating an oil conservator capsule aging evaluation coefficient L according to an oil conservator capsule aging temperature influence factor K and an oil conservator capsule fatigue factor G, wherein the calculation formula is as follows:
Figure BDA0003905332290000043
in the formula, a, b and c are calculation weights of the ageing evaluation coefficient L of the conservator capsule, and P is an environmental factor influence and an error influence factor; wherein, 0.2<a<0.3,0.3<b<0.5,0.5<c<0.8,0.05<P<0.12;
And 5, performing conservator aging evaluation according to the conservator capsule aging evaluation coefficient L: a smaller L indicates a slower aging of the transformer conservator capsule.
If L is more than or equal to 10 in the embodiment, the transformer conservator capsule is seriously aged, the service life is shortened, key inspection is required, and risks are eliminated; if L is more than or equal to 2 and less than 10, the transformer conservator capsule is aged generally and is in a normal state; if L is less than 2, the transformer conservator capsule is less aged and the capsule performance is excellent.

Claims (6)

1. Transformer conservator capsule ageing evaluation system includes: intelligence respirator, air duct, conservator, transformer oil and capsule, its characterized in that still includes: temperature sensor, humidity transducer, first ultrasonic sensor, second ultrasonic sensor, paster temperature sensor and data processing center, temperature sensor, humidity transducer set up in the space between intelligent respirator and air duct, and first ultrasonic sensor sets up in conservator surface top, and second ultrasonic sensor sets up in conservator surface below, and paster temperature sensor sets up at the conservator lateral surface, and temperature sensor, humidity transducer, first ultrasonic sensor, second ultrasonic sensor, paster temperature sensor all are connected with data processing center, data processing center is used for handling the ageing evaluation of in order to accomplish the conservator to the data of gathering.
2. The transformer conservator capsule aging evaluation system of claim 1, wherein the first ultrasonic sensor and the second ultrasonic sensor are disposed up and down symmetrically.
3. The transformer conservator capsule aging evaluation method is applied to the transformer conservator capsule aging evaluation system of claim 1 or 2, and is characterized by comprising the following steps:
step 1, using a transformer conservator capsule aging evaluation system to acquire data of a tested conservator;
step 2, obtaining characteristic data from the collected data, including:
the maximum temperature value Y corresponding to the temperature sensor max1 Time T to reach maximum temperature 1 Minimum temperature value Y min1
Maximum moisture content Q corresponding to humidity sensor max1 Time T until maximum moisture content is reached 2 Duration of maximum moisture content T 3
Peak value V corresponding to the first ultrasonic sensor max1 Starting time T of rising peak i4 End time T of rising Peak i5 Wavelength of rising peak r i1 Starting time T of falling peak xj4 End time T of falling peak xj5 Wavelength of falling peak r i2
Peak value V corresponding to the second ultrasonic sensor max2 Starting time T of rising peak j6 End time T of rising peak j7 Wavelength of rising Peak r j3 Starting time T of falling peak xj6 End time T of falling peak xj7 Wavelength of falling peak r j4
Maximum temperature Y corresponding to patch temperature sensor max2 Time T to reach maximum temperature 8 Minimum temperature value Y min2
And 3, calculating an influence factor K of the ageing temperature of the conservator capsule and a fatigue factor G of the conservator capsule according to the characteristic data, wherein the calculation formula is as follows:
Figure FDA0003905332280000011
Figure FDA0003905332280000012
n is the number of wave crests in the acquisition time;
and 4, calculating an oil conservator capsule aging evaluation coefficient L according to the oil conservator capsule aging temperature influence factor K and the oil conservator capsule fatigue factor G, wherein the calculation formula is as follows:
Figure FDA0003905332280000021
in the formula, a, b and c are calculation weights of the ageing evaluation coefficient L of the conservator capsule, and P is an environmental factor influence and an error influence factor;
and 5, evaluating the ageing of the conservator according to the ageing evaluation coefficient L of the conservator capsule.
4. The transformer conservator capsule aging evaluation method of claim 3, wherein in step 4, 0.2 yarn-woven (a) yarn-woven (0.3), 0.3 yarn-woven (b) yarn-woven (0.5), 0.5 yarn-woven (c) yarn-woven (0.8), 0.05 yarn-woven (P) yarn-woven (0.12).
5. The method for evaluating the aging of the transformer conservator capsule according to claim 3, wherein the data change curve is obtained when the data is collected in step 1.
6. The transformer conservator capsule aging assessment method according to any one of claims 3-5, wherein the step 5 is specifically: if L is more than or equal to 10, the transformer conservator capsule is seriously aged; if L is more than or equal to 2 and less than 10, the transformer conservator capsule is aged generally; if L <2, the transformer conservator capsule is less aged.
CN202211302370.1A 2022-10-24 2022-10-24 Transformer conservator capsule aging evaluation system and method Pending CN115639274A (en)

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