CN110940902A - Method for detecting abnormal discharge condition of power equipment - Google Patents
Method for detecting abnormal discharge condition of power equipment Download PDFInfo
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- CN110940902A CN110940902A CN201911244332.3A CN201911244332A CN110940902A CN 110940902 A CN110940902 A CN 110940902A CN 201911244332 A CN201911244332 A CN 201911244332A CN 110940902 A CN110940902 A CN 110940902A
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- power equipment
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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
- G01R31/1218—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 optical methods; using charged particle, e.g. electron, beams or X-rays
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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
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- General Physics & Mathematics (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps: step 1, sampling related signals around power equipment; step 2, respectively converting the models sampled in the step 1 into different digital signals; step 3, filtering, amplifying and drying the digital signals in the step 2; and 4, identifying ultraviolet light spot information of the model processed in the step 3 to finally obtain a discharge abnormal area. The invention solves the problems of inaccurate discharge abnormity detection and low efficiency of the power equipment in the prior art.
Description
Technical Field
The invention belongs to the technical field of power equipment detection, and particularly relates to a method for detecting abnormal discharge conditions of power equipment.
Background
The partial discharge of some weak parts in the insulation of electric power equipment under the action of a strong electric field is a common problem in high-voltage insulation. Although partial discharges do not generally cause penetrating breakdown of the insulation, they can lead to local damage of the dielectric, in particular of the organic dielectric. If partial discharge exists for a long time, insulation deterioration and even breakdown can be caused under certain conditions. The partial discharge test of the power equipment can not only know the insulation condition of the equipment, but also find many problems related to manufacturing and installation in time and determine the reason and the severity of the insulation fault. Therefore, partial discharge testing of electrical equipment is an important preventive test in the manufacture and operation of electrical equipment. The existing corona discharge detection technology mainly comprises an infrared thermal imaging technology, an ultrasonic corona detector, a corona discharge detection technology based on ultraviolet spectrum, an ultraviolet imaging method, a visual observation method and the like. Because the target of corona discharge is small and weak in strength, the corona discharge is difficult to observe visually, and manual detection is difficult to meet the requirement. In the corona discharge detection technology, the research of detecting high-voltage corona discharge by a double-spectrum real-time frequency image processing system of ultraviolet light and visible light is provided by the university of river and south through analyzing the spectral characteristics of the high-voltage corona discharge. The method is directly characterized in that a solar blind type ultraviolet photoelectric tube is used as a probe of a detection system, the corona intensity is represented in the form of the number of ultraviolet pulses, and the electricity testing of non-contact high-voltage equipment is realized. At present, the detection of ultraviolet light is generally applied to the aspects of fire reports, river management, earthquake prediction, weather prediction, ocean environment detection and the like, and the detection of ultraviolet light is also developed in the aspect of power equipment fault detection, but a mature automatic detection means is not provided. The ultraviolet imager is generally used in the current market for detection, and the corona detector is applied to the detection of surface discharge of 138kV and 500kV transmission lines, power equipment and generator coils by a plurality of international power companies, so that good effects are achieved. In subsequent overhauls, it is verified that the results of the instrumental inspections are correct, such as at the joints of transmission lines, composite insulators, etc. A plurality of electric power companies in the United states EPRI lead to carry out detection research on overhead wire corona discharge of the instrument for 3 years, and a correct evaluation detection guide rule of the overhead wire corona phenomenon is compiled through laboratory simulation and a large amount of field actual measurement experience. At present, the ultraviolet light equipment fault automatic detection is applied abroad, domestic related research is still in a blank stage, and deep research on discharge of high-voltage equipment is urgently needed in order to guarantee the safety of stable operation of lines of a power grid and power failure maintenance. The electric power facility safety assessment diagnosis method has the advantages that the discharge detection and the high-voltage electricity testing of the power transmission equipment are effectively carried out by utilizing the discharge characteristics and combining the ultraviolet light detection technology, the design sensitivity is high, the accuracy is good, the power consumption is low, the operation is convenient, safe and simple, and the anti-interference performance is high, so that the electric power facility safety assessment diagnosis method has very strong practical significance. The automatic detection of abnormal discharge of the power equipment based on the ultraviolet video is a key technology in the safety detection of the power equipment, determines the sensitivity of an unmanned aerial vehicle multi-sensor power line safety inspection intelligent expert system (hereinafter, referred to as an intelligent expert system) to the abnormal discharge part in the safety diagnosis of the power equipment, and directly influences the overall performance of the intelligent expert system. The feasibility and the effectiveness of the abnormal discharge system of the ultraviolet detection device are discussed in most technical literatures and research papers related to the abnormal discharge system of the ultraviolet detection device. The technology for automatically detecting abnormal discharge of the power equipment based on the ultraviolet video mainly comprises discharge area detection and a discharge fault type classification algorithm. The discharge area detection algorithm is mainly used for determining the position of discharge equipment, the abnormal degree of discharge and the like; the discharge fault type classification algorithm is mainly used for determining the type of discharge equipment, and whether the equipment needs to be repaired or replaced is a hot problem of current research. Early methods for detecting abnormal discharge of power equipment mainly include observation, ultrasonic method and infrared imaging method. The observation method is to directly observe the power equipment by using a high-power telescope, the method is not easy to find out the fault position of the equipment, and the detection result is also unreliable; the ultrasonic wave method adopts an ultrasonic generator to transmit initial pulses to enter a power equipment medium, and judges the defect condition of the power equipment according to the size and the position of a defect wave on a time axis, the method has high sensitivity, high speed, low cost, simple operation, safety and reliability, but is difficult to intuitively and accurately position a remote discharge point, and quantitative analysis is also difficult; the infrared imaging method is to use the temperature rise outside the electric equipment to find some defects, and the method can be carried out under the condition of no contact with the electric equipment and no power failure, but the method for determining the electric equipment fault by measuring the temperature is easily subjected to the images of sunlight, strong wind, moisture, ambient temperature and some factors which can cause the surface temperature of the high-voltage equipment to change sharply. In order to visually display the discharge position and discharge form of the operating power equipment, an ultraviolet imaging detection power equipment discharge technology is provided. The technology is to observe and measure by observing and detecting a 'solar blind' ultraviolet light signal and converting the ultraviolet image signal into a visible light image signal. The ultraviolet imaging detection is less limited by conditions such as environment, climate and the like, can quickly and accurately position a discharge point, and has the characteristics of continuous detection, long distance, no power outage, no contact, no disintegration and the like. The application of the ultraviolet imaging technology in the field of discharge detection of electric equipment is roughly as follows: the method comprises the steps of wire trauma detection, insulator discharge detection, high-voltage equipment mismeeting inspection, insulation defects, overall maintenance of a high-voltage transformer substation and a line, and radio interference source searching.
Disclosure of Invention
The invention aims to provide a method for detecting abnormal discharge condition of power equipment, which solves the problems of inaccurate detection and low efficiency of abnormal discharge of the power equipment in the prior art.
The technical scheme adopted by the invention is that the method for detecting the abnormal discharge condition of the power equipment is implemented according to the following steps:
step 1, sampling related signals around power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3 to finally obtain a discharge abnormal area.
The present invention is also characterized in that,
the relevant signals in the step 1 comprise discharge signals, noise signals and gas concentration.
The gas in the sampled gas concentration comprises one or more of methane, ethylene, hydrogen, carbon dioxide and nitrogen in the power equipment.
And 4, when the gas concentration content in the region is 3% -10%, the region is considered as an abnormal discharge region.
And 4, identifying the ultraviolet light spot information by adopting a threshold value method.
The method for detecting the abnormal discharge condition of the power equipment has the advantages of simplicity, high efficiency, strong reliability, easiness in operation, low cost and wide application market.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps:
step 1, sampling related signals around power equipment; wherein the related signals comprise discharge signals, noise signals and gas concentration; the gas in the sampled gas concentration comprises one or more of methane, ethylene, hydrogen, carbon dioxide and nitrogen in the power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3, identifying the ultraviolet light spot information by adopting a threshold value method, and finally obtaining a discharge abnormal region, wherein when the gas concentration content in the region is 3% -10%, the region is considered as the discharge abnormal region.
Example 1
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps:
step 1, sampling related signals around power equipment; wherein the related signals comprise discharge signals, noise signals and gas concentration; the gas in the sampled gas concentration comprises methane in the power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3, identifying the ultraviolet light spot information by adopting a threshold value method, and finally obtaining a discharge abnormal region, wherein when the gas concentration content in the region is 3%, the region is considered as the discharge abnormal region.
Example 2
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps:
step 1, sampling related signals around power equipment; wherein the related signals comprise discharge signals, noise signals and gas concentration; the gas in the sampled gas concentration comprises ethylene in the power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3, identifying the ultraviolet light spot information by adopting a threshold value method, and finally obtaining a discharge abnormal region, wherein when the gas concentration content in the region is 10%, the region is considered as the discharge abnormal region.
Example 3
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps:
step 1, sampling related signals around power equipment; wherein the related signals comprise discharge signals, noise signals and gas concentration; the gas in the sampled gas concentration comprises hydrogen and carbon dioxide in the power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3, identifying the ultraviolet light spot information by adopting a threshold value method, and finally obtaining a discharge abnormal region, wherein when the gas concentration content in the region is 5%, the region is considered as the discharge abnormal region.
Example 4
The invention discloses a method for detecting abnormal discharge condition of power equipment, which is implemented according to the following steps:
step 1, sampling related signals around power equipment; wherein the related signals comprise discharge signals, noise signals and gas concentration; the gas in the sampled gas concentration comprises carbon dioxide and nitrogen in the power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3, identifying the ultraviolet light spot information by adopting a threshold value method, and finally obtaining a discharge abnormal region, wherein when the gas concentration content in the region is 8%, the region is considered as the discharge abnormal region.
Claims (5)
1. A method for detecting abnormal discharge condition of power equipment is characterized by comprising the following steps:
step 1, sampling related signals around power equipment;
step 2, respectively converting the models sampled in the step 1 into different digital signals;
step 3, filtering, amplifying and drying the digital signals in the step 2;
and 4, identifying ultraviolet light spot information of the model processed in the step 3 to finally obtain a discharge abnormal area.
2. The method for detecting the abnormal discharging condition of the power equipment as claimed in claim 1, wherein the related signals in the step 1 comprise a discharging signal, a noise signal and a gas concentration.
3. The method as claimed in claim 2, wherein the gas in the sampled gas concentration includes one or more of methane, ethylene, hydrogen, carbon dioxide and nitrogen in the power equipment.
4. The method for detecting the abnormal discharge condition of the power equipment as claimed in claim 1, wherein in the step 4, when the gas concentration content in the region is 3% to 10%, the region is considered as the abnormal discharge region.
5. The method for detecting the abnormal discharging condition of the electrical equipment as claimed in claim 1, wherein a threshold value method is adopted in the step 4 to realize the identification of the ultraviolet light spot information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911244332.3A CN110940902A (en) | 2019-12-06 | 2019-12-06 | Method for detecting abnormal discharge condition of power equipment |
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| CN201911244332.3A CN110940902A (en) | 2019-12-06 | 2019-12-06 | Method for detecting abnormal discharge condition of power equipment |
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| CN110940902A true CN110940902A (en) | 2020-03-31 |
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| CN103487729A (en) * | 2013-09-06 | 2014-01-01 | 广东电网公司电力科学研究院 | Electrical equipment defect detection method based on fusion of ultraviolet video and infrared video |
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| CN109085482A (en) * | 2018-10-24 | 2018-12-25 | 广东电网有限责任公司 | A kind of abnormal discharge of power equipment detection circuit |
| CN109345586A (en) * | 2018-11-02 | 2019-02-15 | 国网湖南省电力有限公司 | Electrical equipment discharge characteristic extracting method based on ultraviolet imagery technology |
| CN209117805U (en) * | 2018-09-13 | 2019-07-16 | 国网安徽省电力有限公司电力科学研究院 | A kind of positioning system of Partial Discharge Sources in electrical equipment |
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- 2019-12-06 CN CN201911244332.3A patent/CN110940902A/en active Pending
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| KR20090019535A (en) * | 2007-08-21 | 2009-02-25 | 금오테크(주) | Non-contact system for measuring insulator aging and disconnection of electric power distribution |
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Application publication date: 20200331 |