CN112824914A - Rapid detection method for GIS equipment - Google Patents
Rapid detection method for GIS equipment Download PDFInfo
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- CN112824914A CN112824914A CN201911144413.6A CN201911144413A CN112824914A CN 112824914 A CN112824914 A CN 112824914A CN 201911144413 A CN201911144413 A CN 201911144413A CN 112824914 A CN112824914 A CN 112824914A
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- gis
- discharge
- detection method
- gis equipment
- rapid detection
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- 238000001514 detection method Methods 0.000 title claims abstract description 52
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 238000000034 method Methods 0.000 claims abstract description 12
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 4
- 239000007789 gas Substances 0.000 claims description 15
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 6
- 239000002245 particle Substances 0.000 claims description 6
- KRHYYFGTRYWZRS-UHFFFAOYSA-N Fluorane Chemical compound F KRHYYFGTRYWZRS-UHFFFAOYSA-N 0.000 claims description 3
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 239000003153 chemical reaction reagent Substances 0.000 claims description 3
- 239000004020 conductor Substances 0.000 claims description 3
- 229910000040 hydrogen fluoride Inorganic materials 0.000 claims description 3
- 230000005856 abnormality Effects 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 description 4
- 230000032683 aging Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- 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
- G01R31/1254—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 gas-insulated power appliances or vacuum gaps
-
- G—PHYSICS
- 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
- G01R31/1209—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 using acoustic measurements
Abstract
The invention discloses a rapid detection method for GIS equipment, belonging to the field, and the rapid detection method for GIS equipment comprises judging whether the GIS equipment is abnormal, and executing S2-S4 when the GIS equipment is abnormal; inspecting the shell temperature of the GIS equipment, transmission parts, gears and secondary wiring inside the mechanism box; detecting SF6 gas micro water and decomposition products in each chamber; partial discharges within the faulty chamber are detected. The invention aims at a rapid detection method of GIS equipment, firstly judges whether the GIS equipment is abnormal or not, and then carries out partial discharge detection when the GIS equipment is abnormal, the method solves the problem of rapid detection of the GIS abnormality, can timely and accurately find abnormal partial discharge phenomena in the GIS in a mode of accumulating a threshold value method, has accurate and timely judgment results, effectively avoids false alarm caused by external interference, improves the accuracy of abnormality detection, and solves the problems of false alarm and false alarm omission in the alarm process of a partial discharge online monitoring system.
Description
Technical Field
The invention relates to the technical field of GIS equipment, in particular to a rapid detection method for GIS equipment.
Background
GIS (gas insulated switchgear) is an abbreviation for gas insulated totally enclosed switchgear. The GIS is composed of a breaker, an isolating switch, a grounding switch, a mutual inductor, a lightning arrester, a bus, a connecting piece, an outgoing line terminal and the like. GIS is high-voltage electrical equipment with high operation reliability, less maintenance workload and long overhaul period, and the failure rate of the GIS is only 20-40 percent of that of conventional equipment. However, GIS also has its inherent disadvantages, and due to factors such as SF6 gas leakage, external moisture infiltration, conductive impurities, and insulator aging, a flashover fault inside GIS may occur.
Under the current condition, the full-sealing structure of the GIS makes the positioning and the maintenance of faults more difficult, the maintenance work is complicated, the average power failure maintenance time after an accident is longer than that of conventional equipment, the power failure range is large, and non-fault elements are often involved.
Therefore, a reliable and efficient fast detection method for GIS equipment is needed in the industry.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide a rapid detection method for GIS equipment.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
A rapid detection method for GIS equipment comprises the following steps:
s1, judging whether the GIS equipment is abnormal or not, and executing S2-S4 when the GIS equipment is abnormal;
s2, checking the shell temperature of the GIS equipment, transmission parts, gears and secondary wiring inside the mechanism box;
s3, detecting the SF6 gas micro water and decomposition products in each chamber;
and S4, detecting the partial discharge in the fault chamber.
Further, the S1 specifically includes the following steps:
s11, acquiring a daily average value of the discharge capacity of the GIS equipment;
s12, selecting the accumulated days n, and calculating the accumulated discharge x of the GIS within n days;
s13, calculating an accumulated discharge amount threshold m in n days according to a preset single-day discharge amount threshold m 1;
and S14, when the accumulated discharge x is less than m within n days, judging that the GIS equipment normally works, and when the accumulated discharge x is more than or equal to m within n days, judging that the GIS equipment is abnormal.
Further, the S11 specifically includes: and acquiring the daily average value of the discharge amount of the GIS equipment from the partial discharge detection equipment.
Further, the S12 specifically includes: and adding the daily average value of the discharge amount of the last day of the n days to the daily average value of the discharge amount of n-1 days before the last day to obtain the accumulated discharge amount x of the n days.
Further, in S13, a preset threshold m of discharge capacity per day130db, m is the threshold value of accumulated discharge1×n。
Further, in S3, a particle analysis method is used to analyze and determine the product after the arc extinguishing of the SF6 breaker; or extracting a gas sample through a reagent, and analyzing the contents of sulfur dioxide and hydrogen fluoride; or detecting the micro-water content of the gas; alternatively, the leak point is located by using the absorption characteristics of the SF6 gas for the laser of a specific wavelength.
Further, in S4, an ultrahigh frequency partial discharge detector is used for detecting, where the ultrahigh frequency partial discharge detector includes an ultrahigh frequency sensor, a high speed data acquisition unit, and an analysis and determination unit, and the ultrahigh frequency sensor is used to collect an ultrahigh frequency signal that is excited by a partial discharge pulse and can propagate outward through an insulating medium.
Further, when the ultrahigh frequency partial discharge detection is carried out, the adopted frequency range is 500-1000MHz, and four measuring channels are adopted, so that four detection points of four high-voltage devices or one high-voltage device are tested.
Further, when ultrahigh frequency partial discharge detection is carried out, an external sensor and an internal sensor are used for simultaneously detecting partial discharge signals of the GIS equipment, and a noise antenna is used for identifying external noise signals.
Further, in S4, the discharge in the air is detected by an ultrasonic detection method, wherein a frequency band above 25KHZ is used for detection, and when the detection is performed by the ultrasonic detection method, the validity of the acquired signal, the size of the peak, the ratio of the valid value to the peak, the frequency dependency of 50HZ, and the frequency dependency of 100HZ are analyzed, so as to determine whether there are free particles, burrs on the conductor, a floating shield, and corona discharge.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
the invention aims at a rapid detection method of GIS equipment, firstly judges whether the GIS equipment is abnormal or not, and then carries out partial discharge detection when the GIS equipment is abnormal, the method solves the problem of rapid detection of the GIS abnormality, can timely and accurately find abnormal partial discharge phenomena in the GIS in a mode of accumulating a threshold value method, has accurate and timely judgment results, effectively avoids false alarm caused by external interference, improves the accuracy of abnormality detection, and solves the problems of false alarm and false alarm omission in the alarm process of a partial discharge online monitoring system.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The drawings in the embodiments of the invention will be combined; the technical scheme in the embodiment of the invention is clearly and completely described; obviously; the described embodiments are only some of the embodiments of the invention; but not all embodiments, are based on the embodiments of the invention; all other embodiments obtained by a person skilled in the art without making any inventive step; all fall within the scope of protection of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1, a method for rapidly detecting a GIS device includes the following steps:
s1, judging whether the GIS equipment is abnormal or not, and executing S2-S4 when the GIS equipment is abnormal;
s2, checking the shell temperature of the GIS equipment, transmission parts, gears and secondary wiring inside the mechanism box;
s3, detecting the SF6 gas micro water and decomposition products in each chamber;
and S4, detecting the partial discharge in the fault chamber.
S1 specifically includes the following steps:
s11, acquiring a daily average value of the discharge capacity of the GIS equipment;
s12, selecting the accumulated days n, and calculating the accumulated discharge x of the GIS within n days;
s13, calculating an accumulated discharge amount threshold m in n days according to a preset single-day discharge amount threshold m 1;
and S14, when the accumulated discharge x is less than m within n days, judging that the GIS equipment normally works, and when the accumulated discharge x is more than or equal to m within n days, judging that the GIS equipment is abnormal.
S11 specifically includes: and acquiring the daily average value of the discharge amount of the GIS equipment from the partial discharge detection equipment.
S12 specifically includes: and adding the daily average value of the discharge amount of the last day of the n days with the daily average value of the discharge amount of n-1 days before the last day to obtain the accumulated discharge amount x of the n days.
In S13, preset one-day discharge threshold m130db, m is the threshold value of accumulated discharge1×n。
In S3, analyzing and judging the products after the arc extinguishing of the SF6 breaker by using a particle analysis method; or extracting a gas sample through a reagent, and analyzing the contents of sulfur dioxide and hydrogen fluoride; or detecting the micro-water content of the gas; alternatively, the leak point is located by using the absorption characteristics of the SF6 gas for the laser of a specific wavelength.
In the step S4, an ultrahigh frequency partial discharge detector is used for detection, the ultrahigh frequency partial discharge detector includes an ultrahigh frequency sensor, a high speed data acquisition unit and an analysis and judgment unit, and the ultrahigh frequency sensor is used for collecting an ultrahigh frequency signal which is excited by a partial discharge pulse and can transmit through an insulating medium to the outside.
When the ultrahigh frequency partial discharge detection is carried out, the adopted frequency range is 500-1000MHz, and four measuring channels are adopted, so that four detection points of four high-voltage devices or one high-voltage device are tested.
When ultrahigh frequency partial discharge detection is carried out, an external sensor and an internal sensor are used for simultaneously detecting partial discharge signals of GIS equipment, and a noise antenna is used for identifying external noise signals.
In S4, the discharge in the air is detected by an ultrasonic detection method, wherein the discharge is detected in a frequency band of 25KHZ or more, and when the discharge is detected by the ultrasonic detection method, the presence or absence of free particles, burrs on the conductor, the floating shield, and the corona discharge is determined by analyzing the validity of the acquired signal, the size of the peak, the ratio of the effective value to the peak, the frequency dependence of 50HZ, and the frequency dependence of 100 HZ.
The invention aims at a rapid detection method of GIS equipment, firstly judges whether the GIS equipment is abnormal or not, and then carries out partial discharge detection when the GIS equipment is abnormal, the method solves the problem of rapid detection of the GIS abnormality, can timely and accurately find abnormal partial discharge phenomena in the GIS in a mode of accumulating a threshold value method, has accurate and timely judgment results, effectively avoids false alarm caused by external interference, improves the accuracy of abnormality detection, and solves the problems of false alarm and false alarm omission in the alarm process of a partial discharge online monitoring system.
The above; but are merely preferred embodiments of the invention; the scope of the invention is not limited thereto; any person skilled in the art is within the technical scope of the present disclosure; the technical scheme and the improved concept of the invention are equally replaced or changed; are intended to be covered by the scope of the present invention.
Claims (10)
1. A rapid detection method for GIS equipment is characterized in that: the method comprises the following steps:
s1, judging whether the GIS equipment is abnormal or not, and executing S2-S4 when the GIS equipment is abnormal;
s2, checking the shell temperature of the GIS equipment, transmission parts, gears and secondary wiring inside the mechanism box;
s3, detecting the SF6 gas micro water and decomposition products in each chamber;
and S4, detecting the partial discharge in the fault chamber.
2. The rapid detection method for the GIS device according to claim 1, wherein: the S1 specifically includes the following steps:
s11, acquiring a daily average value of the discharge capacity of the GIS equipment;
s12, selecting the accumulated days n, and calculating the accumulated discharge x of the GIS within n days;
s13, calculating an accumulated discharge amount threshold m in n days according to a preset single-day discharge amount threshold m 1;
and S14, when the accumulated discharge x is less than m within n days, judging that the GIS equipment normally works, and when the accumulated discharge x is more than or equal to m within n days, judging that the GIS equipment is abnormal.
3. The rapid detection method for the GIS device according to claim 2, wherein: the S11 specifically includes: and acquiring the daily average value of the discharge amount of the GIS equipment from the partial discharge detection equipment.
4. The rapid detection method for the GIS device according to claim 2, wherein: the S12 specifically includes: and adding the daily average value of the discharge amount of the last day of the n days to the daily average value of the discharge amount of n-1 days before the last day to obtain the accumulated discharge amount x of the n days.
5. The rapid detection method for the GIS device according to claim 2, wherein: in the step S13, a preset single-day discharge threshold m130db, m is the threshold value of accumulated discharge1×n。
6. The rapid detection method for the GIS device according to claim 1, wherein: in the step S3, analyzing and judging the products after the SF6 breaker is arc-extinguished by using a particle analysis method; or extracting a gas sample through a reagent, and analyzing the contents of sulfur dioxide and hydrogen fluoride; or detecting the micro-water content of the gas; alternatively, the leak point is located by using the absorption characteristics of the SF6 gas for the laser of a specific wavelength.
7. The rapid detection method for the GIS device according to claim 1, wherein: in the step S4, an ultrahigh frequency partial discharge detector is used for detection, the ultrahigh frequency partial discharge detector includes an ultrahigh frequency sensor, a high speed data acquisition unit and an analysis and judgment unit, and the ultrahigh frequency sensor is used to collect an ultrahigh frequency signal which is excited by a partial discharge pulse and can be transmitted to the outside through an insulating medium.
8. The rapid detection method for the GIS device according to claim 7, wherein: when the ultrahigh frequency partial discharge detection is carried out, the adopted frequency range is 500-1000MHz, and four measuring channels are adopted, so that four detection points of four high-voltage devices or one high-voltage device are tested.
9. The rapid detection method for the GIS device according to claim 7, wherein: when ultrahigh frequency partial discharge detection is carried out, an external sensor and an internal sensor are used for simultaneously detecting partial discharge signals of GIS equipment, and a noise antenna is used for identifying external noise signals.
10. The rapid detection method for the GIS device according to claim 1, wherein: in S4, the discharge in the air is detected by an ultrasonic detection method, wherein the discharge is detected in a frequency band of 25KHZ or more, and when the discharge is detected by the ultrasonic detection method, the presence or absence of free particles, burrs on the conductor, the floating shield, and the corona discharge is determined by analyzing the validity of the acquired signal, the size of the peak, the ratio of the effective value to the peak, the frequency dependence of 50HZ, and the frequency dependence of 100 HZ.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911144413.6A CN112824914A (en) | 2019-11-20 | 2019-11-20 | Rapid detection method for GIS equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911144413.6A CN112824914A (en) | 2019-11-20 | 2019-11-20 | Rapid detection method for GIS equipment |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202693735U (en) * | 2012-05-21 | 2013-01-23 | 北京华电天能电力技术有限公司 | Ultrasonic and high-frequency local discharge detector |
| CN106154131A (en) * | 2016-08-23 | 2016-11-23 | 莱芜鲁能开源电力建设有限公司 | A kind of detection method for GIS device |
| CN106199362A (en) * | 2016-09-18 | 2016-12-07 | 广东电网有限责任公司电力科学研究院 | A kind of GIS device rapid abnormal method for detecting |
| CN106569107A (en) * | 2016-11-02 | 2017-04-19 | 国网江西省电力公司电力科学研究院 | Partial discharge determining method combining sulfur hexafluoride centralized analysis and ultrahigh frequency |
| CN110286306A (en) * | 2019-07-30 | 2019-09-27 | 南京荣港电气技术有限公司 | A kind of high frequency partial discharge test method for GIS device |
-
2019
- 2019-11-20 CN CN201911144413.6A patent/CN112824914A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202693735U (en) * | 2012-05-21 | 2013-01-23 | 北京华电天能电力技术有限公司 | Ultrasonic and high-frequency local discharge detector |
| CN106154131A (en) * | 2016-08-23 | 2016-11-23 | 莱芜鲁能开源电力建设有限公司 | A kind of detection method for GIS device |
| CN106199362A (en) * | 2016-09-18 | 2016-12-07 | 广东电网有限责任公司电力科学研究院 | A kind of GIS device rapid abnormal method for detecting |
| CN106569107A (en) * | 2016-11-02 | 2017-04-19 | 国网江西省电力公司电力科学研究院 | Partial discharge determining method combining sulfur hexafluoride centralized analysis and ultrahigh frequency |
| CN110286306A (en) * | 2019-07-30 | 2019-09-27 | 南京荣港电气技术有限公司 | A kind of high frequency partial discharge test method for GIS device |
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