CN112731082A - Insulator insulation state trend prediction method based on live-line detection technology - Google Patents
Insulator insulation state trend prediction method based on live-line detection technology Download PDFInfo
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- CN112731082A CN112731082A CN202011569260.2A CN202011569260A CN112731082A CN 112731082 A CN112731082 A CN 112731082A CN 202011569260 A CN202011569260 A CN 202011569260A CN 112731082 A CN112731082 A CN 112731082A
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- insulation resistance
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- 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
- G01R31/1245—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 line insulators or spacers, e.g. ceramic overhead line cap insulators; of insulators in HV bushings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/025—Measuring very high resistances, e.g. isolation resistances, i.e. megohm-meters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/08—Measuring resistance by measuring both voltage and current
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Ceramic Engineering (AREA)
- Testing Relating To Insulation (AREA)
- Measurement Of Resistance Or Impedance (AREA)
Abstract
The invention discloses an insulator insulation state trend prediction method based on a live detection technology, which comprises the following steps: sending voltage to the normal insulator and the insulator to be tested, and collecting voltage data and current data of the normal insulator and the insulator to be tested; calculating a standard insulation resistance and an insulation resistance to be detected according to the acquired voltage data and current data; and judging the state of the insulator to be detected by comparing the standard insulation resistance with the insulation resistance to be detected. The invention can accurately judge the state of the insulator of the tower and ensure the safe and reliable operation of the power system.
Description
Technical Field
The invention relates to the technical field of insulator detection, in particular to a method for predicting insulator insulation state trend based on a live detection technology.
Background
The insulator is exposed in the environment for a long time, the insulating property of the insulator can be continuously reduced along with the lengthening of the operation time, and the insulator of the transmission tower can be subjected to the phenomena of degradation or zero value irregularly. In addition, when a part of the insulator string becomes a poor-insulation insulator, other sound insulators can share the voltage and do not immediately hinder power transmission. However, if the insulator is operated for a long period of time, an ac current that has entered due to a switching surge of the transmission line or the like penetrates the defective insulator and causes the insulator to break, or has a contamination-resistant voltage at a voltage higher than the rated voltage, there is a possibility of flashover.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides the insulator insulation state trend prediction method based on the live-line detection technology, so that the bad insulators can be found quickly, and the operation safety of the insulators of the transmission tower can be ensured.
In order to achieve the purpose, the invention provides the following technical scheme:
an insulator insulation state trend prediction method based on a live detection technology comprises the following steps:
step 1, in the live detection process, an operator sends voltages to a normal insulator and an insulator to be detected respectively and collects voltage data and current data of the normal insulator and the insulator to be detected;
step 2, recording a standard voltage amplitude and a standard current amplitude of a normal insulator, a to-be-detected voltage amplitude and a to-be-detected current amplitude of a to-be-detected insulator according to the acquired voltage data and current data;
step 3, calculating the standard insulation resistance of the normal insulator according to the standard voltage amplitude and the standard current amplitude, and calculating the insulation resistance to be detected of the porcelain insulator to be detected according to the voltage amplitude to be detected and the current amplitude to be detected;
and 4, judging the insulator state of the insulator to be detected according to the standard insulation resistance of the normal insulator and the size of the insulation resistance to be detected of the insulator to be detected.
In the step 1, the transmitted voltage is any one of a direct current voltage, an alternating current voltage or a pulse voltage.
In the step 1, the sampling interval of the collected voltage data and the current data is 1 ms.
In the step 4, the standard for judging the state of the insulator is that the upper limit value of the insulation resistance to be detected is not more than 1.2 times of the standard insulation resistance value, and the lower limit value of the insulation resistance to be detected is not less than 0.8 times of the standard insulation resistance value.
In the step 4, the insulator state includes whether the insulator is normal, whether the insulator has cracks, and the mechanical strength of the insulator.
The invention has the technical effects and advantages that:
the invention can realize live detection when the insulator works normally in a live way, the detection work does not affect the normal operation of the power grid, the detection time is not limited by matching with the power grid power failure arrangement any more, the detection can be carried out in time according to the operation and maintenance work, the detection accuracy is high, the state maintenance level of the power grid can be effectively improved, and finally the state of the insulator is judged through the judgment module, so that the method is intuitive and accurate, the influence of various factors on information data is reduced, the error is extremely small, the precision is extremely high, and the safe and reliable operation of a power system is ensured.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
An insulator insulation state trend prediction method based on a live detection technology comprises the following steps:
step 1, in the live detection process, an operator sends voltages to a normal insulator and an insulator to be detected respectively and collects voltage data and current data of the normal insulator and the insulator to be detected;
step 2, recording a standard voltage amplitude and a standard current amplitude of a normal insulator, a to-be-detected voltage amplitude and a to-be-detected current amplitude of a to-be-detected insulator according to the acquired voltage data and current data;
step 3, calculating the standard insulation resistance of the normal insulator according to the standard voltage amplitude and the standard current amplitude, and calculating the insulation resistance to be detected of the porcelain insulator to be detected according to the voltage amplitude to be detected and the current amplitude to be detected;
and 4, judging the insulator state of the insulator to be detected according to the standard insulation resistance of the normal insulator and the size of the insulation resistance to be detected of the insulator to be detected.
In the step 1, the transmitted voltage is any one of a direct current voltage, an alternating current voltage or a pulse voltage.
In the step 1, the sampling interval of the collected voltage data and the current data is 1 ms.
In the step 4, the standard for judging the state of the insulator is that the upper limit value of the insulation resistance to be detected is not more than 1.2 times of the standard insulation resistance value, and the lower limit value of the insulation resistance to be detected is not less than 0.8 times of the standard insulation resistance value.
In the step 4, the insulator state includes whether the insulator is normal, whether the insulator has cracks, and the mechanical strength of the insulator.
In the description of the present invention, unless otherwise expressly specified or limited, the terms "disposed," "mounted," "connected," and "secured" are to be construed broadly, e.g., as meaning fixedly connected, detachably connected, or integral to; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An insulator insulation state trend prediction method based on a live detection technology is characterized by comprising the following steps:
step 1, in the live detection process, an operator sends voltages to a normal insulator and an insulator to be detected respectively and collects voltage data and current data of the normal insulator and the insulator to be detected;
step 2, recording a standard voltage amplitude and a standard current amplitude of a normal insulator, a to-be-detected voltage amplitude and a to-be-detected current amplitude of a to-be-detected insulator according to the acquired voltage data and current data;
step 3, calculating the standard insulation resistance of the normal insulator according to the standard voltage amplitude and the standard current amplitude, and calculating the insulation resistance to be detected of the porcelain insulator to be detected according to the voltage amplitude to be detected and the current amplitude to be detected;
and 4, judging the insulator state of the insulator to be detected according to the standard insulation resistance of the normal insulator and the size of the insulation resistance to be detected of the insulator to be detected.
2. The method for predicting the insulator insulation state trend based on the live detection technology according to claim 1, wherein in the step 1, the transmitted voltage is any one of a direct current voltage, an alternating current voltage or a pulse voltage.
3. The insulator insulation state trend prediction method based on the live detection technology as claimed in claim 1, wherein in step 1, the sampling interval of the collected voltage data and current data is 1 ms.
4. The method for predicting the insulator insulation state trend based on the live line detection technology as claimed in claim 1, wherein in the step 4, the standard for judging the insulator state to be normal is that the upper limit value of the insulation resistance to be detected is not more than 1.2 times of the standard insulation resistance value, and the lower limit value of the insulation resistance to be detected is not less than 0.8 times of the standard insulation resistance value.
5. The method for predicting the insulator insulation state trend based on the live line detection technology as claimed in claim 1, wherein in the step 4, the insulator state includes whether the insulator is normal, whether the insulator has cracks, and the mechanical strength of the insulator.
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CN202011569260.2A CN112731082A (en) | 2020-12-26 | 2020-12-26 | Insulator insulation state trend prediction method based on live-line detection technology |
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CN202011569260.2A CN112731082A (en) | 2020-12-26 | 2020-12-26 | Insulator insulation state trend prediction method based on live-line detection technology |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114076877A (en) * | 2021-11-19 | 2022-02-22 | 国网辽宁省电力有限公司鞍山供电公司 | High-voltage insulation state analysis method and device based on electromagnetic field big data |
Citations (5)
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CN1417590A (en) * | 2001-11-05 | 2003-05-14 | 北京华中港科贸有限公司 | Detection method and device for live insulator in high-voltage transmission line |
JP2005043196A (en) * | 2003-07-28 | 2005-02-17 | Kyushu Electric Power Co Inc | Insulation resistance measuring device for insulating material for power distribution |
CN101706531A (en) * | 2009-11-10 | 2010-05-12 | 李景禄 | Method for testing insulation performance of insulator and device thereof |
CN101968512A (en) * | 2009-07-20 | 2011-02-09 | 王殿阁 | Method for detecting alternating current short circuit non-discharge type insulators |
CN111707910A (en) * | 2020-05-28 | 2020-09-25 | 广州广华智电科技有限公司 | Porcelain insulator internal insulation detection method and porcelain insulator detection circuit |
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2020
- 2020-12-26 CN CN202011569260.2A patent/CN112731082A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN1417590A (en) * | 2001-11-05 | 2003-05-14 | 北京华中港科贸有限公司 | Detection method and device for live insulator in high-voltage transmission line |
JP2005043196A (en) * | 2003-07-28 | 2005-02-17 | Kyushu Electric Power Co Inc | Insulation resistance measuring device for insulating material for power distribution |
CN101968512A (en) * | 2009-07-20 | 2011-02-09 | 王殿阁 | Method for detecting alternating current short circuit non-discharge type insulators |
CN101706531A (en) * | 2009-11-10 | 2010-05-12 | 李景禄 | Method for testing insulation performance of insulator and device thereof |
CN111707910A (en) * | 2020-05-28 | 2020-09-25 | 广州广华智电科技有限公司 | Porcelain insulator internal insulation detection method and porcelain insulator detection circuit |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN114076877A (en) * | 2021-11-19 | 2022-02-22 | 国网辽宁省电力有限公司鞍山供电公司 | High-voltage insulation state analysis method and device based on electromagnetic field big data |
CN114076877B (en) * | 2021-11-19 | 2023-12-19 | 国网辽宁省电力有限公司鞍山供电公司 | High-voltage insulation state analysis method and device based on electromagnetic field big data |
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