CN110794269A - Green insulating gas insulating strength calculation method - Google Patents
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- 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
- G01R31/1281—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 of liquids or gases
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Abstract
The embodiment of the application discloses a method for calculating the insulation strength of green insulating gas, which comprises the following steps: obtaining the initial critical electric field intensity of the green insulating gas; adding gas impurities into the green insulating gas, and respectively acquiring corresponding critical electric field intensity according to the proportion of the gas impurities; taking the gas impurity proportion as an abscissa, and taking the initial critical electric field intensity and each critical electric field intensity as an ordinate, and drawing a linear regression curve; calculating a linear relation between the gas impurity proportion and the initial critical electric field intensity according to the linear regression curve; and acquiring a green insulating gas insulating strength calculation formula according to the linear relation, and acquiring the green insulating gas insulating strength according to the calculation formula. By adopting the method, the insulating strength of the green insulating gas can be obtained in real time by monitoring the content of the gas impurities in real time, the method is simple and easy to operate, the calculation efficiency is high, and manpower and material resources are saved.
Description
Technical Field
The application relates to the technical field of electrical insulation media, in particular to a green insulation gas insulation strength calculation method.
Background
Due to SF6Since the gas has excellent insulating and arc-extinguishing properties, SF is generally used in the existing gas-insulated equipment6The gas acts as a gas insulating medium. However, SF6The gas is a gas with strong greenhouse effect, and the potential value GWP of the greenhouse effect is CO223900 times of gas and SF6The service life in the gas atmosphere is up to 3200 years. Once SF is established6Gas leakage basically does not naturally decompose, SF6Gas leakage has a cumulative effect on the global warming effect. Therefore, an environmentally friendly green insulating gas is sought to replace SF6Gas has become an important research direction in the technical field of electrical insulation and a hot problem to be solved urgently.
At present, green insulating gas is gradually developed and applied to gas insulation equipment, the insulation strength is an index for evaluating the insulation performance of the green insulating gas, and once the insulation strength of the green gas in the gas insulation equipment is reduced to a certain value, the insulating gas needs to be replaced again so as to ensure the safety of the equipment. In the prior art, the acquisition of the green gas insulation strength is generally carried out by using SF6The gas-phase method is obtained by a withstand voltage test performed on the gas-insulated equipment by a withstand voltage test apparatus before the gas-insulated equipment is put into operation or during periodic maintenanceThe withstand voltage test is carried out by increasing the voltage, and the critical electric field intensity when the insulating gas breaks down during the test is the insulating strength of the gas.
However, in the course of research by the present inventors, it was found that in the prior art, the green gas dielectric strength could be obtained only before the gas insulation equipment is put into operation or at the time of regular maintenance, and the green gas dielectric strength could not be obtained in real time.
Disclosure of Invention
The application provides a green insulating gas dielectric strength calculation method to solve prior art, can only acquire green gas dielectric strength before gas insulation equipment drops into or when periodical maintenance, can not acquire green gas dielectric strength's problem in real time.
The embodiment of the application provides a method for calculating the insulation strength of green insulating gas, which comprises the following steps:
obtaining the initial critical electric field intensity of the green insulating gas;
adding gas impurities into the green insulating gas, and respectively acquiring corresponding critical electric field intensity according to the proportion of the gas impurities;
taking the gas impurity proportion as an abscissa, and taking the initial critical electric field intensity and each critical electric field intensity as an ordinate, and drawing a linear regression curve;
calculating a linear relation between the gas impurity proportion and the initial critical electric field intensity according to the linear regression curve;
and acquiring a green insulating gas insulating strength calculation formula according to the linear relation, and acquiring the green insulating gas insulating strength according to the calculation formula.
Optionally, adding gas impurities into the green insulating gas, and obtaining corresponding critical electric field intensities according to gas impurity ratios, respectively, includes:
adding first gas impurities with different proportions into the green insulating gas, and respectively obtaining first critical electric field intensities corresponding to the green insulating gas when the first gas impurities with different proportions are added;
changing the types of the gas impurities, adding second gas impurities with different proportions into the green insulating gas, and respectively obtaining second critical electric field intensities corresponding to the green insulating gas when the second gas impurities with different proportions are added;
changing the types of the gas impurities, adding the third gas impurities with different proportions into the green insulating gas, and respectively obtaining the third critical electric field intensity corresponding to the green insulating gas when the third gas impurities with different proportions are added.
Optionally, with the gas impurity ratio as an abscissa and the initial critical electric field strength and each critical electric field strength as an ordinate, drawing a linear regression curve, including:
drawing a first linear regression curve by taking the adding proportion of the first gas impurities as an abscissa and taking the initial critical electric field intensity and each first critical electric field intensity as an ordinate;
drawing a second linear regression curve by taking the adding proportion of the second gas impurities as an abscissa and taking the initial critical electric field intensity and each second critical electric field intensity as an ordinate;
and drawing a third linear regression curve by taking the adding proportion of the third gas impurities as an abscissa and the initial critical electric field intensity and each third critical electric field intensity as an ordinate.
Optionally, calculating a linear relationship between the gas impurity ratio and the initial critical electric field strength according to the linear regression curve includes:
and calculating the linear relation between the gas impurity ratio and the initial critical electric field intensity according to the first linear regression curve, the second linear regression curve and the third linear regression curve.
Alternatively, the green insulation gas dielectric strength is obtained according to the following calculation formula:
y＝y0+ax1+bx2+cx3；
wherein y represents green insulation gas dielectric strength, y0Denotes the initial critical field strength, x1Denotes a first gaseous impurity, x2Denotes a second gaseous impurity, x3Denotes a third gasAnd impurities, wherein a represents the slope of the first linear regression curve, b represents the slope of the second linear regression curve, and c represents the slope of the third linear regression curve.
Optionally, the green insulating gas is 6% C5F10O-94％CO2Mixed gas, 10% C5F10O-90％CO2Mixed gas, 20% C5F10O-80％CO2Mixed gas or 30% C5F10O-70％CO2And (4) mixing the gases.
Optionally, the first gaseous impurity is O2The second gas impurity is N2The third gas impurity is H2O。
The embodiment of the application discloses a method for calculating the insulation strength of green insulating gas, which comprises the following steps: obtaining the initial critical electric field intensity of the green insulating gas; adding gas impurities into the green insulating gas, and respectively acquiring corresponding critical electric field intensity according to the proportion of the gas impurities; taking the gas impurity proportion as an abscissa, and taking the initial critical electric field intensity and each critical electric field intensity as an ordinate, and drawing a linear regression curve; calculating a linear relation between the gas impurity proportion and the initial critical electric field intensity according to the linear regression curve; and acquiring a green insulating gas insulating strength calculation formula according to the linear relation, and acquiring the green insulating gas insulating strength according to the calculation formula.
By adopting the method, the insulating strength of the green insulating gas can be obtained in real time by monitoring the content of the gas impurities in real time, the method is simple and easy to operate, the calculation efficiency is high, and manpower and material resources are saved.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for calculating insulation strength of green insulating gas according to an embodiment of the present application;
FIG. 2 is a graph showing the results of the present example at 6% C5F10O-94％CO2Adding oxygen impurities with different proportions into the mixture to draw a first linear regression curve chart;
FIG. 3 is a graph showing the results of the present example at 6% C5F10O-94％CO2Adding nitrogen impurities with different proportions to draw a second linear regression curve chart;
FIG. 4 is a graph showing the results of the present example at 6% C5F10O-94％CO2To which water vapour impurities of different proportions are added, and a third linear regression curve is drawn.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
The application provides a green insulating gas dielectric strength calculation method to solve prior art, can only acquire green gas dielectric strength before gas insulation equipment drops into or when periodical maintenance, can not acquire green gas dielectric strength's problem in real time.
With the intensive research on green insulating gases, green insulating gases applicable to gas-insulated devices have been developed, such as: c5F10O-CO2The mixed gas has better insulating property and can directly replace SF6A gas.
In the operation of gas insulated apparatus, insulating gas decomposes or the part in the gas insulated apparatus decomposes under the electric power effect and produces a small amount of impurity, like oxygen, nitrogen gas, vapor etc. this application only needs can acquire the insulating strength of green insulating gas in the gas insulated apparatus in real time through measuring the content of these impurity.
Referring to fig. 1, a method for calculating an insulation strength of a green insulating gas disclosed in an embodiment of the present application includes the following steps:
in step S1, the initial critical electric field strength of the green insulating gas is obtained.
Alternatively to this, the first and second parts may,the green insulating gas in this application is C5F10O and CO2Preferably, the green insulating gas in the present embodiment is 6% C5F10O-94％CO2Mixed gas, 10% C5F10O-90％CO2Mixed gas, 20% C5F10O-80％CO2Mixed gas and 30% C5F10O-70％CO2One of the mixed gases.
The method for obtaining the initial critical electric field strength in this embodiment can be obtained by a withstand voltage test in the prior art, and the specific process is referred to the prior art and will not be described in detail herein.
In this step, 6% C was determined to be absent of impurities5F10O-94％CO2The initial critical electric field strength of the mixed green insulating gas of (2) is 200.51 Td; 10% C5F10O-90％CO2The initial critical electric field strength of 247.12 Td; 20% of C5F10O-80％CO2The initial critical electric field strength of 344.46 Td; 30% C5F10O-70％CO2Is 431.36 Td.
Step S2, adding gas impurities into the green insulating gas, and obtaining corresponding critical electric field strengths according to the gas impurity ratios.
Optionally, the gaseous impurity in this embodiment is O2，N2，H2O (water vapor); these impurities are impurities which are relatively high in practical application process, and also belong to the constituent part of air, and of course, other types of impurities may be contained in the gas insulation device, and the application is not limited specifically.
Specifically, the method comprises the following steps: adding gas impurity O in different proportions to the green insulating gas selected in step S12Respectively obtain the additive with different proportions of O2Critical electric field intensity (i.e., first critical electric field intensity) of the green insulating gas (i.e., first gaseous impurities); adding gas impurity N in different proportions to the green insulating gas selected in step S12Respectively obtainAdding different proportions N2Critical electric field intensity (i.e., second critical electric field intensity) of the green insulating gas (i.e., second gaseous impurity); adding gas impurity H of different proportions to the green insulating gas selected in step S12O, respectively obtaining and adding different proportions of H2The critical electric field strength of the green insulating gas of O (i.e., the third gaseous impurity) (i.e., the third critical electric field strength).
Of course, the skilled person can add and reduce the kind of gaseous impurities according to the actual situation.
The addition proportion in the embodiment may be 1% or 2% as one unit, and the larger the addition proportion number is, the more accurate the linear regression result is.
Step S3, a linear regression curve is drawn with the gas impurity ratio as the abscissa and the initial critical electric field strength and each critical electric field strength as the ordinate.
Specifically, referring to fig. 2, the green insulating gas selected in fig. 2 is 6% C5F10O-94％CO2Mixed gas of O with2The ratio of addition is plotted on the abscissa to initiate the critical field strength (O)2The initial critical field strength is 200.51Td) when the addition ratio is 0 and the different ratio O2The corresponding first critical electric field intensity is plotted as ordinate, and a first linear regression curve is drawn, wherein the initial critical electric field intensity and the first critical electric field intensity are reduced critical electric field intensity in the graph, and as can be seen from fig. 2, the 6% C is added for every 1% of oxygen impurities5F10O-94％CO2The dielectric strength of the mixed gas is reduced by 0.4 Td;
referring to fig. 3, the green insulating gas selected in fig. 3 is 6% C5F10O-94％CO2Mixed gas of N2The ratio of addition is plotted on the abscissa to initiate the critical field strength (N)2The ratio of addition is 0) and different ratios N2Drawing a second linear regression curve by taking the corresponding second critical electric field intensity as a vertical coordinate; wherein the initial critical electric field strength and the second critical electric field strength are reduced critical electric field strengths in the graph, as can be seen from FIG. 3,for every 1% increase in nitrogen impurity, the 6% C5F10O-94％CO2The dielectric strength of the mixed gas is reduced by 0.1 Td;
referring to fig. 4, the green insulating gas selected in fig. 4 is 6% C5F10O-94％CO2Mixed gas of H2The ratio of O addition is plotted on the abscissa to initiate the critical field strength (H)2The proportion of O addition is 0) and different proportions H2And drawing a third linear regression curve with the third critical electric field intensity corresponding to O as the ordinate, wherein the initial critical electric field intensity and the third critical electric field intensity are reduced critical electric field intensities in the graph, and as can be seen from FIG. 4, the 6% C is added for every 1% of water vapor impurities5F10O-94％CO2The dielectric strength of the mixed gas is decreased by 1.5 Td.
And step S4, calculating the linear relation between the gas impurity ratio and the initial critical electric field intensity according to the linear regression curve.
In this step, a linear relation between the gas impurity ratio and the initial critical electric field strength is obtained according to the linear regression curve drawn in step S3 and the slope of the linear regression curve.
Specifically, it can be seen from the first linear regression curve that the gas impurity O increases by 1% for every time2The initial critical field strength is reduced by 0.4 Td; according to the second linear regression curve, each 1% increase of the gas impurity N2The initial critical electric field strength is reduced by 0.1 Td; from the third linear regression curve, it can be seen that every 1% increase in gaseous impurity H2O, the initial critical electric field strength is reduced by 1.5 Td.
And step S5, obtaining a green insulation gas insulation strength calculation formula according to the linear relation, and obtaining the green insulation gas insulation strength according to the calculation formula.
In this embodiment, according to the linear relationship obtained in step S4, the influence of all gas impurities in the gas insulation apparatus is integrated to obtain a calculation formula of the green insulation gas insulation strength, and further obtain the green insulation gas insulation strength.
Specifically, the green insulation gas insulation strength is obtained according to the following calculation formula:
y＝y0+ax1+bx2+cx3；
wherein y represents green insulation gas dielectric strength, y0Denotes the initial critical field strength, x1Denotes a first gaseous impurity, x2Denotes a second gaseous impurity, x3Representing the third gas impurity, a represents the slope of the first linear regression curve, b represents the slope of the second linear regression curve, and c represents the slope of the third linear regression curve.
From the data in FIGS. 2, 3 and 4, 6% C5F10O-94％CO2The calculation formula of the dielectric strength of the mixed gas is as follows:
y＝200.51-0.4x1-0.1x2-1.5x3；
in the above formula, x1Represents O2Ratio of (a) x2Represents N2Ratio of (a) x3Represents H2Proportion of O as long as the impurity O is known2、N2And H2The proportion of O, namely the green insulating gas 6% C5F10O-94％CO2The insulating strength, and above-mentioned impure gas can carry out real-time supervision when gas-insulated equipment normal operating, and then can obtain insulating gas's real-time insulating strength, when gas-insulated equipment's insulating strength is unusual, can discover and solve the very first time, improve equipment security.
The embodiment of the application discloses a method for calculating the insulation strength of green insulating gas, which comprises the following steps: obtaining the initial critical electric field intensity of the green insulating gas; adding gas impurities into the green insulating gas, and respectively acquiring corresponding critical electric field intensity according to the proportion of the gas impurities; taking the gas impurity proportion as an abscissa, and taking the initial critical electric field intensity and each critical electric field intensity as an ordinate, and drawing a linear regression curve; calculating a linear relation between the gas impurity proportion and the initial critical electric field intensity according to the linear regression curve; and acquiring a green insulating gas insulating strength calculation formula according to the linear relation, and acquiring the green insulating gas insulating strength according to the calculation formula.
By adopting the method, the insulating strength of the green insulating gas can be obtained in real time by monitoring the content of the gas impurities in real time, the method is simple and easy to operate, the calculation efficiency is high, and manpower and material resources are saved.
Based on the same principle, the embodiment of the application also discloses 10% C5F10O-90％CO2Mixed gas, 20% C5F10O-80％CO2Mixed gas and 30% C5F10O-70％CO2The mixed gas insulation strength calculation formula is as follows:
10％C5F10O-90％CO2the calculation formula of the dielectric strength of the mixed gas is as follows:
y＝247.12-0.8x1-0.3x2-2x3。
20％C5F10O-80％CO2the calculation formula of the dielectric strength of the mixed gas is as follows:
y＝344.46-1.5x1-0.8x2-4x3。
30％C5F10O-70％CO2the calculation formula of the dielectric strength of the mixed gas is as follows:
y＝431.36-2x1-1.5x2-4x3。
it is understood that based on the inventive concept disclosed in the present application, the proportion and composition of the green insulating gas can be arbitrarily changed by those skilled in the art, and the addition of gas impurities can be increased or decreased, all of which fall within the protection scope of the present invention.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.
Claims (7)
1. A method for calculating the insulation strength of green insulating gas is characterized by comprising the following steps:
obtaining the initial critical electric field intensity of the green insulating gas;
adding gas impurities into the green insulating gas, and respectively acquiring corresponding critical electric field intensity according to the proportion of the gas impurities;
taking the gas impurity proportion as an abscissa, and taking the initial critical electric field intensity and each critical electric field intensity as an ordinate, and drawing a linear regression curve;
calculating a linear relation between the gas impurity proportion and the initial critical electric field intensity according to the linear regression curve;
and acquiring a green insulating gas insulating strength calculation formula according to the linear relation, and acquiring the green insulating gas insulating strength according to the calculation formula.
2. The method of claim 1, wherein the step of adding gas impurities into the green insulating gas to obtain the corresponding critical electric field strength according to the gas impurity ratio comprises:
adding first gas impurities with different proportions into the green insulating gas, and respectively obtaining first critical electric field intensities corresponding to the green insulating gas when the first gas impurities with different proportions are added;
changing the types of the gas impurities, adding second gas impurities with different proportions into the green insulating gas, and respectively obtaining second critical electric field intensities corresponding to the green insulating gas when the second gas impurities with different proportions are added;
changing the types of the gas impurities, adding the third gas impurities with different proportions into the green insulating gas, and respectively obtaining the third critical electric field intensity corresponding to the green insulating gas when the third gas impurities with different proportions are added.
3. The method of claim 2, wherein plotting the linear regression curve with the gaseous impurity ratio as abscissa and the initial critical electric field strength and each critical electric field strength as ordinate comprises:
drawing a first linear regression curve by taking the adding proportion of the first gas impurities as an abscissa and taking the initial critical electric field intensity and each first critical electric field intensity as an ordinate;
drawing a second linear regression curve by taking the adding proportion of the second gas impurities as an abscissa and taking the initial critical electric field intensity and each second critical electric field intensity as an ordinate;
and drawing a third linear regression curve by taking the adding proportion of the third gas impurities as an abscissa and the initial critical electric field intensity and each third critical electric field intensity as an ordinate.
4. The method of claim 3, wherein calculating a linear relationship between gas impurity fraction and initial critical electric field strength from the linear regression curve comprises:
and calculating the linear relation between the gas impurity ratio and the initial critical electric field intensity according to the first linear regression curve, the second linear regression curve and the third linear regression curve.
5. The method according to claim 4, wherein the green insulation gas dielectric strength is obtained according to the following calculation formula:
y＝y0+ax1+bx2+cx3；
wherein y represents green insulation gas dielectric strength, y0Denotes the initial critical field strength, x1Denotes a first gaseous impurity, x2Denotes a second gaseous impurity, x3Representing the third gas impurity, a represents the slope of the first linear regression curve, b represents the slope of the second linear regression curve, and c represents the slope of the third linear regression curve.
6. The method of claim 5, wherein the green insulating gas is 6% C5F10O-94％CO2Mixed gas, 10% C5F10O-90％CO2Mixed gas, 20% C5F10O-80％CO2Mixed gas or 30% C5F10O-70％CO2And (4) mixing the gases.
7. The method of claim 2, wherein the first gaseous impurity is O2The second gas impurity is N2The third gas impurity is H2O。
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| CN112162182A (en) * | 2020-09-28 | 2021-01-01 | 哈尔滨理工大学 | Gas dielectric strength prediction method based on neural network |
| CN114089134A (en) * | 2021-11-23 | 2022-02-25 | 国网重庆市电力公司电力科学研究院 | Method for reducing mixed gas discharge solid precipitate |
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