CN113740288A - Model prediction-based online monitoring method for dissolved gas in transformer oil - Google Patents
Model prediction-based online monitoring method for dissolved gas in transformer oil Download PDFInfo
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- 239000012528 membrane Substances 0.000 claims abstract description 45
- 238000007872 degassing Methods 0.000 claims abstract description 31
- 238000001228 spectrum Methods 0.000 claims abstract description 21
- 239000004809 Teflon Substances 0.000 claims description 6
- 229920006362 Teflon® Polymers 0.000 claims description 6
- 239000011347 resin Substances 0.000 claims description 6
- 229920005989 resin Polymers 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 4
- 238000005033 Fourier transform infrared spectroscopy Methods 0.000 claims description 3
- 239000004642 Polyimide Substances 0.000 claims description 3
- 239000000919 ceramic Substances 0.000 claims description 3
- 239000002131 composite material Substances 0.000 claims description 3
- 238000001745 non-dispersive infrared spectroscopy Methods 0.000 claims description 3
- 229920001721 polyimide Polymers 0.000 claims description 3
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- 229920001343 polytetrafluoroethylene Polymers 0.000 claims description 3
- 239000004810 polytetrafluoroethylene Substances 0.000 claims description 3
- 238000010521 absorption reaction Methods 0.000 abstract description 9
- 239000007789 gas Substances 0.000 description 67
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 9
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 6
- 230000003595 spectral effect Effects 0.000 description 4
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 3
- 229910052757 nitrogen Inorganic materials 0.000 description 3
- 230000035699 permeability Effects 0.000 description 3
- 238000010926 purge Methods 0.000 description 3
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- 238000004458 analytical method Methods 0.000 description 2
- 229910002092 carbon dioxide Inorganic materials 0.000 description 2
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- VGGSQFUCUMXWEO-UHFFFAOYSA-N Ethene Chemical compound C=C VGGSQFUCUMXWEO-UHFFFAOYSA-N 0.000 description 1
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- 238000009849 vacuum degassing Methods 0.000 description 1
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3504—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
- G01N21/3518—Devices using gas filter correlation techniques; Devices using gas pressure modulation techniques
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- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
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- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
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Abstract
The invention discloses a method for monitoring dissolved gas in transformer oil on line, which belongs to the technical field of methods for monitoring dissolved gas in transformer oil on line based on model prediction, wherein a high-permeability membrane component is matched with a spectrum to realize rapid monitoring of the dissolved gas in liquid, the equilibrium concentration of the gas in the liquid is predicted by utilizing the degassing time curve fitting of the membrane, the liquid inlet and the liquid outlet of the high-permeability membrane component are communicated with a container filled with a liquid medium to be detected, and a liquid pump is connected in a liquid path to realize continuous flow of the liquid medium; the gas chamber of the degasser is communicated with the spectrum absorption gas chamber, the gas path is connected with the circulating gas pump in series to realize the circulation of the desorbed gas in the spectrum absorption tank, the high-permeability membrane module is matched with the spectrometer to realize the rapid monitoring of the dissolved gas in the oil, the equilibrium concentration of the gas in the liquid is predicted by utilizing the degassing time curve fitting of the membrane, the monitoring period is greatly shortened, and the spectrum system provided with the high-sensitivity detector can realize the real-time monitoring nearly.
Description
Technical Field
The invention relates to the technical field of online monitoring methods for dissolved gas in transformer oil, in particular to an online monitoring method for dissolved gas in transformer oil based on model prediction.
Background
The transformer is a key device in a power grid, whether the transformer can normally work or not is related to the stability and reliability of a whole power system, the fault or accidental shutdown of the transformer can generate great loss to industrial production and resident life, and some components of the transformer often break down under the conditions of high pressure and high temperature, so that the running state of the transformer must be properly detected and diagnosed, and the abnormal state and potential damage of the transformer can be timely found to take related preventive measures to avoid the occurrence of power accidents.
For the diagnosis of the transformer in operation, the test types and items have respective schemes according to the difference of the electrical parameters, the operation environment, the service life and the like, the analysis (DGA) of the dissolved gas in the oil is widely accepted as an effective diagnosis technology for the fault detection of the transformer, when the transformer has certain faults, such as overheating and partial discharge, the insulating material in the transformer is cracked to generate small molecular gas, the corresponding characteristic gas is dissolved in the insulating oil, and the cracking of the insulating oil mainly generates CH4，C2H6，C2H4，C2H2Solid insulating materials produce mainly CO, CO2，H2And O, predicting the fault type by analyzing the concentration and the generation rate of the characteristic gases and the relation among specific gases, and deducing the fault type of the equipment according to the main characteristic gas and the secondary characteristic gas generated by different fault types in the existing DL/T722-2014 transformer oil analysis and judgment guide rule in China.
The reported oil-gas separation method comprises vacuum degassing, headspace degassing, membrane separation and the like, wherein the degassing rate of vacuum and headspace degassing is higher, the degassing speed is higher, the method is a main technical scheme of domestic on-line monitoring at present, the degassing rate of membrane degassing is relatively lower, the oil-gas balance time is long, and the balance time is 12 hours or even longer especially for a spectrum method with larger gas sample amount.
Although the membrane degassing method has long balance time, the equipment is simple, the failure rate is low, the interference of the removed gas is less, the problem that the common high boiling point component pollutes an optical window in vacuum/headspace degassing can be avoided, the oil-gas separation research of the polymer membrane in the oil immersion power equipment failure diagnosis shows that the permeability of the degassing membrane to various gases in liquid is relatively determined under the conditions of certain gas chamber volume, liquid temperature and liquid flow rate, and the detected gas phase concentration cgCorresponds to an exponential relationship with the degassing time tg＝a(1-e-bt)+c0The parameter b is related to the volume of the gas chamber, the thickness of the film, the gas permeability, etc., so that (c) can be passedg-c0)/(1-e-bt) And a is obtained, and then the equilibrium concentration of the gas in the liquid is calculated, the method establishes a transformer oil gas online monitoring method based on model prediction by utilizing the conclusion, predicts the equilibrium concentration of the gas in the liquid by utilizing degassing time curve fitting of a membrane, does not need to wait for gas-liquid equilibrium, greatly shortens the monitoring period, and can realize nearly real-time monitoring by a spectral system provided with a high-sensitivity detector.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments, and in this section as well as in the abstract and the title of the invention of this application some simplifications or omissions may be made to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions are not intended to limit the scope of the invention.
The invention is provided in view of the problems in the existing online monitoring method for the dissolved gas in the transformer oil based on model prediction.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions: a method for monitoring dissolved gas in transformer oil on line based on model prediction is characterized in that a high-permeability membrane component is matched with a spectrum to realize rapid monitoring of the dissolved gas in liquid, the equilibrium concentration of the gas in the liquid is predicted by utilizing degassing time curve fitting of the membrane, gas-liquid equilibrium does not need to be waited, the monitoring period is greatly shortened, and a spectral system provided with a high-sensitivity detector can realize near real-time monitoring.
As a preferred scheme of the model prediction-based online monitoring method for the dissolved gas in the transformer oil, the method comprises the following steps: the high-permeability membrane is a polyimide, PTFE, FAP or soluble Teflon resin body membrane, and can also be a composite module of Teflon resin and a ceramic membrane tube or a polymer fiber membrane.
As a preferred scheme of the model prediction-based online monitoring method for the dissolved gas in the transformer oil, the method comprises the following steps: the spectroscopic system is NDIR, FTIR, PAS.
As a preferred scheme of the model prediction-based online monitoring method for the dissolved gas in the transformer oil, the method comprises the following steps: the fitting adopts a parameter exponential function cg＝a(1-e-bt)+c0Wherein said c thereofgThe instantaneous gas phase concentration measured by the sensor, t is the degassing time, the parameter a comprises the equilibrium concentration information of the gas to be measured in the liquid, the parameter b comprises the characteristic of the membrane and the gas potential volume information, c0Is the residual concentration in the gas cell at the start of degassing.
As a preferred scheme of the model prediction-based online monitoring method for the dissolved gas in the transformer oil, the method comprises the following steps: the prediction method comprises testing parameters a and b at different liquid temperatures to correct the influence of liquid temperature change.
Compared with the prior art, the invention has the beneficial effects that:
the invention is communicated with a container filled with a liquid medium to be detected through a liquid inlet and a liquid outlet of the high-permeability membrane component, the liquid pump is connected in series in a liquid path to realize the continuous flow of the liquid medium, the air chamber of the degasser is communicated with the spectrum absorption cell, the circulating air pump is connected in series in an air path to realize the circulation of the desorbed gas in the spectrum absorption cell, the high-permeability membrane component is matched with the spectrometer to realize the rapid monitoring of the dissolved gas in oil, the equilibrium concentration of the gas in the liquid is predicted by utilizing the degassing time curve fitting of the membrane, the gas-liquid balance does not need to be waited, the monitoring period is greatly shortened, and the spectrum system provided with the high-sensitivity detector can realize the near real-time monitoring.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic diagram of the apparatus of the present invention;
FIG. 2 is a graph of the degassing time-concentration of methane in example one;
FIG. 3 is a graph of carbon dioxide degassing time versus concentration in example one;
FIG. 4 is a graph of the degassing time-concentration of carbon monoxide in example one;
FIG. 5 is a graph of degassing time versus concentration for three replicates monitoring of methane in example two;
FIG. 6 is a graph of degassing time-concentration of ethylene monitored at 35 deg.C, 45 deg.C, 55 deg.C in example III;
FIG. 7 is a graph of the predicted and actual degassing time-concentration of methane based on the 2h, 4h and 8h data in the fourth example;
FIG. 8 is a flow chart of a method for online monitoring of dissolved gas in transformer oil based on model prediction.
Reference numbers in the figures: 1. liquid to be measured; 2. a liquid pump; 3. a membrane module; 4. an air pump; 5. and a spectral absorption cell.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Examples
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
As shown in figures 1-8, the on-line monitoring method for the dissolved gas in the transformer oil based on model prediction is characterized in that a high-permeability membrane component 3 is matched with a spectrum to realize the rapid monitoring of the dissolved gas in the liquid, the equilibrium concentration of the gas in the liquid is predicted by utilizing the degassing time curve fitting of the membrane, the gas-liquid equilibrium does not need to be waited, the monitoring period is greatly shortened, and a spectrum system provided with a high-sensitivity detector can realize the near-real-time monitoring.
In this example, the high permeability membrane is a polyimide, PTFE, FAP, soluble Teflon resin bulk membrane, or a composite membrane module of Teflon resin and a ceramic membrane tube or a polymer fiber membrane.
In this example, the spectroscopic system is NDIR, FTIR, PAS.
In this example, the fitting uses a parametric exponential function cg＝a(1-e-bt)+c0Wherein c thereofgThe instantaneous gas phase concentration measured by the sensor, t is the degassing time, and the parameter a comprises the equilibrium of the gas to be measured in the liquidConcentration information, parameter b contains membrane properties and gas potential volume information, c0Is the residual concentration in the gas cell at the start of degassing.
In this example, the prediction method includes testing parameters a, b at different liquid temperatures to correct for the effects of liquid temperature variations.
Wherein: the online monitoring method for the dissolved gas in the transformer oil based on model prediction comprises the following specific detection steps:
s1, purging the spectrum air chamber and the membrane tube air chamber with high-purity nitrogen;
s2, opening the liquid pump 2 to circulate and degas the oil sample to be tested in the membrane tube;
s3, setting spectral parameters and starting operation;
s4, detecting the gas concentration of each component in the gas chamber by a spectrometer every 2.5 minutes, and continuously monitoring for 24 hours;
and S5, shutting down the instrument and collecting data.
In the online monitoring method for the dissolved gas in the transformer oil based on model prediction, an online monitoring device for the dissolved gas in the transformer oil based on model prediction is used in implementation, and the online monitoring device for the dissolved gas in the transformer oil based on model prediction comprises: the device comprises a liquid 1 to be detected, a liquid pump 2, a membrane module 3, an air pump 4 and a spectrum absorption pool 5, wherein a liquid inlet and a liquid outlet of the membrane module 3 are communicated with a container filled with a medium of the liquid 1 to be detected, the liquid pump 2 is connected in series in a liquid path to realize the continuous flow of the liquid medium, an air chamber of a degasser is communicated with the spectrum absorption pool 5, and a gas path is connected in series with the circulating air pump 4 to realize the circulation of the desorbed gas in the spectrum absorption pool 5.
Example one
Purging the gas chamber and the membrane tube gas chamber in the spectrum absorption cell 5 with high-purity nitrogen, opening the liquid pump 2 to allow the liquid 1 to be detected to circulate and degas in the membrane tube, detecting the gas concentration of each component in the gas chamber at intervals of 2.5min by a spectrometer, and obtaining a degassing time (min) -concentration (ppm) curve (as shown in figures 2-4) according to the data measured in 24 hours, wherein the various gas concentration-time curves can better accord with cg＝a(1-e-bt)+c0。
Example two
Keeping the experimental conditions unchanged, fixing the temperature of the liquid 1 to be measured at 35 ℃, continuously monitoring for 24 hours, repeatedly monitoring for three times, obtaining degassing time (min) -concentration (ppm) curves of all the temperatures according to the measured data, and using an equation cg＝a(1-e-bt)+c0Fitting is performed to obtain three fitting curves of gas-liquid equilibrium (as shown in fig. 5), and the final variation coefficient c.v. of the gas-liquid equilibrium concentration is calculated to be 1.5%.
EXAMPLE III
Keeping the experiment conditions such as the speed of the liquid pump 2, the speed of the air pump 4, the sampling interval time, the concentration in oil, the volume of the air chamber of the membrane tube, the initial concentration and the like unchanged, changing the temperature (35-55 ℃) of the liquid 1 to be detected, continuously monitoring for 48 hours, obtaining degassing time (min) -concentration (ppm) curves of all the temperatures according to the measured data, and using an equation cg＝a(1-e-bt)+c0Fitting is carried out to obtain oil-gas equilibrium fitting curves (as shown in figure 6) at different temperatures, and the result is shown in figure 6, wherein the gas-liquid equilibrium concentration is increased along with the temperature increase.
Example four
Respectively intercepting the measured methane equilibrium data for 2 hours, 4 hours and 8 hours before, fixing the parameter b according to theoretical derivation, carrying out curve fitting on the data of 3 times, predicting the respective gas-liquid equilibrium concentration, and comparing the gas-liquid equilibrium concentration with the measured final gas-liquid equilibrium concentration (as shown in figure 7), wherein the relative errors are respectively 2.45%, 0.36% and 5.29%, and the result shows that the gas equilibrium concentration of the component can be predicted by monitoring for 4 hours by the method.
The invention is a method for online monitoring dissolved gas in transformer oil based on model prediction, which comprises the steps of firstly, purging a spectrum gas chamber and a membrane tube gas chamber by high-purity nitrogen, then opening a liquid pump 2 to circulate and degas an oil sample to be detected in a membrane tube, then setting spectrum parameters, starting to operate, detecting the gas concentration of each component in the gas chamber every 2.5 minutes by a spectrum instrument, continuously monitoring for 24 hours, shutting down the instrument by a user, and collecting data, thereby obtaining online monitoring data of the dissolved gas.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (5)
1. A method for online monitoring of dissolved gas in transformer oil based on model prediction is characterized by comprising the following steps: the high-permeability membrane component is matched with a spectrum to realize rapid monitoring of dissolved gas in liquid, the equilibrium concentration of the gas in the liquid is predicted by utilizing the degassing time curve fitting of the membrane, the gas-liquid equilibrium does not need to be waited, the monitoring period is greatly shortened, and the spectrum system provided with the high-sensitivity detector can realize nearly real-time monitoring.
2. The model prediction-based online monitoring method for dissolved gas in transformer oil according to claim 1, characterized in that: the high-permeability membrane is a polyimide, PTFE, FAP or soluble Teflon resin body membrane, and can also be a composite module of Teflon resin and a ceramic membrane tube or a polymer fiber membrane.
3. The model prediction-based online monitoring method for dissolved gas in transformer oil according to claim 1, characterized in that: the spectroscopic system is NDIR, FTIR, PAS.
4. The model prediction-based online monitoring method for dissolved gas in transformer oil according to claim 1, characterized in that: the fitting adopts a parameter exponential function cg＝a(1-e-bt)+c0Wherein said c thereofgThe instantaneous gas phase concentration measured by the sensor, t isDegassing time, wherein the parameter a comprises equilibrium concentration information of the gas to be measured in the liquid, the parameter b comprises characteristic and gas potential volume information of the membrane, and c0Is the residual concentration in the gas cell at the start of degassing.
5. The model prediction-based online monitoring method for dissolved gas in transformer oil according to claim 1, characterized in that: the prediction method comprises testing parameters a and b at different liquid temperatures to correct the influence of liquid temperature change.
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