CN102023278A - Method and device for identifying partial discharge interference of GIS equipment - Google Patents
Method and device for identifying partial discharge interference of GIS equipment Download PDFInfo
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- CN102023278A CN102023278A CN 201010258588 CN201010258588A CN102023278A CN 102023278 A CN102023278 A CN 102023278A CN 201010258588 CN201010258588 CN 201010258588 CN 201010258588 A CN201010258588 A CN 201010258588A CN 102023278 A CN102023278 A CN 102023278A
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Abstract
The invention discloses a method and a device for identifying partial discharge interference of gas insulated switchgear (GIS) equipment based on statistical spectrum characteristics. The method comprises the following steps of: detecting partial discharge of the GIS equipment; converting the detected data into a statistical spectrum; comparing the statistical spectrum with a preset spectrum library; and identifying the partial discharge interference of the GIS equipment according to a comparison result. Through the method and the system, reliable differentiation of an interference signal and a discharge signal in the partial discharge detection of the GIS equipment can be realized, and the scientificity, the accuracy and the reliability of detection and diagnosis of the partial discharge of the GIS equipment are improved.
Description
Technical field
The invention belongs to insulation of electrical installation detection technique field, relate in particular to recognition methods and device that a kind of GIS apparatus local discharge disturbs.
Background technology
It is little that GIS equipment (gas insulated combined electrical equipment) has floor area, operational reliability advantages of higher and be widely used in the high voltage power transmission field, continuous increase along with line voltage grade and power system capacity, the internal fault rate of GIS equipment also increases, and it is particularly important therefore to seek the method that can assess GIS built-in electrical insulation state effectively.
The main in the world at present detection by shelf depreciation is achieved.Yet in the practice that the GIS apparatus local discharge detects, when particularly carrying out Partial Discharge Detection at the equipment operation scene, inevitably exist a large amount of undesired signals in the surrounding environment, can the detection and the diagnosis of GIS apparatus local discharge be exerted an adverse impact.Therefore, in the online detection and fault diagnosis of GIS apparatus local discharge, can the effective recognition discharge signal and undesired signal be the prerequisite place of realizing the shelf depreciation reliable assessment.
The recognition methods that the GIS apparatus local discharge disturbs in the correlation technique mainly is the feature by time domain waveform, carries out the differentiation of undesired signal and discharge signal again in conjunction with tester's experience.But from the effect of reality, this recognition methods is difficult to distinguish undesired signal and discharge signal effectively, and its reliability and accuracy are all very low.Therefore, seek the recognition methods that effective GIS apparatus local discharge disturbs, the differentiation of undesired signal and discharge signal during realization GIS apparatus local discharge detects, improving the detection of GIS apparatus local discharge and science, accuracy, the reliability of diagnosis, is problem anxious to be solved in the online detection of GIS equipment.
Reliability and the lower problem of accuracy in the correlation technique GIS apparatus local discharge being disturbed identification do not propose effective solution at present as yet.
Summary of the invention
At in the correlation technique GIS apparatus local discharge being disturbed the reliability of identification and the lower problem of accuracy and proposes the present invention, for this reason, fundamental purpose of the present invention is to provide a kind of recognition methods and device of GIS apparatus local discharge interference, to address the above problem.
To achieve these goals, according to an aspect of the present invention, provide a kind of recognition methods of disturbing based on the GIS apparatus local discharge of statistical graph spectrum signature.
The recognition methods of disturbing based on the GIS apparatus local discharge of statistical graph spectrum signature according to the present invention comprises: GIS equipment is carried out the detection of shelf depreciation; Detected data are converted to the statistics collection of illustrative plates; Statistics collection of illustrative plates and the spectrum library of presetting are compared; Carry out the identification that the GIS apparatus local discharge disturbs according to result relatively.
Preferably, before the data with detected shelf depreciation were converted to the statistics collection of illustrative plates, this method also comprised: judge that whether the detection sample number that is obtained is greater than predetermined threshold value; In judged result is under the situation that is, the data that obtain are converted to the statistics collection of illustrative plates.
Preferably, this statistics collection of illustrative plates comprise following one of at least: scatter diagram, gray-scale map, histogram, three-dimensional plot and time frequency analysis figure.
Preferably, the shelf depreciation of GIS equipment is detected comprise and one of utilizing in the following detection method at least: pulse current detection method, superfrequency detection method and ultrasonic Detection Method.
Preferably, each collection of illustrative plates all has the sign of interference type in the spectrum library.
Preferably, statistics collection of illustrative plates and default spectrum library compared comprise: will add up collection of illustrative plates and compare, and obtain adding up the feature difference array of collection of illustrative plates and the spectrum library of presetting with default spectrum library; Whether the minimum value in the judging characteristic difference array is less than the threshold value of setting; Under the situation of minimum value in the feature difference array less than the threshold value of setting, carry out the identification that the GIS apparatus local discharge disturbs according to result relatively.
To achieve these goals, according to a further aspect in the invention, provide a kind of recognition device that disturbs based on the GIS apparatus local discharge of statistical graph spectrum signature.
The recognition device that disturbs based on the GIS apparatus local discharge of statistical graph spectrum signature according to the present invention comprises: detection module is used for the shelf depreciation of GIS equipment is detected; Modular converter is used for detected data are converted to the statistics collection of illustrative plates; Comparison module is used for statistics collection of illustrative plates and the spectrum library of presetting are compared; First judge module is used for carrying out the identification that the GIS apparatus local discharge disturbs according to result relatively.
Preferably, device comprises: second judge module is used to judge that whether the detection sample number that is obtained is greater than predetermined threshold value.
By the present invention, adopt shelf depreciation to detect to GIS equipment; The data of detected shelf depreciation are converted to the statistics collection of illustrative plates; Statistics collection of illustrative plates and the spectrum library of presetting are compared; Carry out the identification that the GIS apparatus local discharge disturbs according to result relatively, solved and in the correlation technique GIS apparatus local discharge has been disturbed the reliability and the lower problem of accuracy of identification, and then reached the effect that improves GIS equipment discharge assessment reliability and accuracy.
Description of drawings
Accompanying drawing described herein is used to provide further understanding of the present invention, constitutes the application's a part, and illustrative examples of the present invention and explanation thereof are used to explain the present invention, do not constitute improper qualification of the present invention.In the accompanying drawings:
Fig. 1 is the process flow diagram based on statistical graph spectrum signature GIS apparatus local discharge interference identification method according to the embodiment of the invention;
Fig. 2 is the preferred process flow diagram based on statistical graph spectrum signature GIS apparatus local discharge interference identification method according to the embodiment of the invention;
Fig. 3 is the synoptic diagram based on statistical graph spectrum signature GIS apparatus local discharge interference recognition device according to the embodiment of the invention.
Embodiment
Need to prove that under the situation of not conflicting, embodiment and the feature among the embodiment among the application can make up mutually.Describe the present invention below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
According to embodiments of the invention, provide a kind of based on statistical graph spectrum signature GIS apparatus local discharge interference identification method.
Fig. 1 is the process flow diagram based on statistical graph spectrum signature GIS apparatus local discharge interference identification method according to the embodiment of the invention.
As shown in Figure 1, this method comprises that following step S101 is to step S104:
Step S101 detects the shelf depreciation of GIS equipment;
Step S102 is converted to the statistics collection of illustrative plates with detected data;
Step S103 compares statistics collection of illustrative plates and the spectrum library of presetting;
Step S104 carries out the identification that the GIS apparatus local discharge disturbs according to result relatively.
Preferably, before the data with detected shelf depreciation were converted to the statistics collection of illustrative plates, this method also comprised: judge that whether the detection sample number that obtains is greater than predetermined threshold value; In judged result is under the situation that is, the data that obtain are converted to the statistics collection of illustrative plates.By this method, can just change detecting under the enough big situation of sample number, thereby can make the identification that statistics collection of illustrative plates after the conversion can the more accurate GIS of carrying out apparatus local discharge interference.
Preferably, this statistics collection of illustrative plates comprise following one of at least: scatter diagram, gray-scale map, histogram, three-dimensional plot and time frequency analysis figure.
Preferably, the detection that GIS equipment is carried out shelf depreciation comprises and one of utilizing in the following detection method at least: pulse current detection method, superfrequency detection method, ultrasonic Detection Method.
Preferably, each collection of illustrative plates all has the sign of interference type in the spectrum library.
Preferably, statistics collection of illustrative plates and default spectrum library compared comprise: will add up collection of illustrative plates and compare, and obtain adding up the feature difference array of collection of illustrative plates and the spectrum library of presetting with default spectrum library; Whether the minimum value in the judging characteristic difference array is less than the threshold value of setting; Under the situation of minimum value in the feature difference array less than the threshold value of setting, carry out the identification that the GIS apparatus local discharge disturbs according to result relatively.
Preferably, the interference type that each collection of illustrative plates in above-mentioned default spectrum library is corresponding different respectively, in the present invention, when the spectrum library that will add up collection of illustrative plates and preset compares, which collection of illustrative plates in the spectrum library that can judge the statistics collection of illustrative plates of acquisition and preset is more close, thereby can access the interference type of the collection of illustrative plates correspondence after the data-switching.
Be described in detail below in conjunction with the implementation procedure of example the embodiment of the invention.
The purpose that the present invention is based on the GIS apparatus local discharge interference identification method of statistical graph spectrum signature provides the recognition system of disturbing in a kind of GIS apparatus local discharge testing process, to realize effective identification of undesired signal in the detection of GIS apparatus local discharge.
Fig. 2 be according to the embodiment of the invention preferably based on the process flow diagram of the GIS apparatus local discharge interference identification method of statistical graph spectrum signature.
As shown in Figure 2, this method comprises the steps;
Step S201, Partial Discharge Detection or monitoring device are installed on GIS equipment, and wherein, Partial Discharge Detection or monitoring device are meant the device that utilizes pulse current method, superfrequency method or supercritical ultrasonics technology to detect the GIS shelf depreciation, preferably, select to install superfrequency (UHF) pick-up unit.
Step S202 detects or monitors the shelf depreciation of GIS equipment.
With the superfrequency detection method is example, and operating GIS device interior is filled with hyperbar SF6 gas, and its dielectric strength and breakdown field strength are all very high.When part discharge took place in very little scope, the gas breakdown process was very fast, will produce very steep pulse current, and pulse to around the superfrequency electromagnetic wave that gives off.At insulator and flange connections, the electromagnetic wave signal of GIS inside can if sensor is placed the GIS outside, and be close to the insulator external diameter to external radiation, thereby can receive the superfrequency electromagnetic wave signal, can realize the long term monitoring of GIS apparatus local discharge or detection in short-term with this.
Step S203, whether the sample number that judge to obtain meets the demands, and preferably, whether the judgement sample number is big or equal 2000, changes step S204 over to if meet the demands, if do not satisfy then return step S202.
Step S204, the shelf depreciation data that step S203 is obtained are converted to the statistics collection of illustrative plates, and compare by specific collection of illustrative plates alignment algorithm with data in the GIS shelf depreciation undesired signal spectrum library, wherein, the statistics collection of illustrative plates is meant scatter diagram, gray-scale map, histogram, three-dimensional plot or time frequency analysis figure (TF figure) or above-mentioned combination, preferably, adopt edge detection algorithm to compare, calculate both feature difference arrays.With
Histogram is an example, with the impulse phase in the detection data that obtain
V extracts with pulse amplitude, if a power frequency period (360 °) is divided into several phase window, then j phase window
Interior overall pulse amplitude v
JtotalFor:
Wherein, the power frequency period sum of M for detecting, n
JsBe that s cycle is in phase window
Interior pulse number, v
JsiBe that s sense cycle is in phase window
The amplitude of interior i pulse.With v
TotalBe considered as
Function, and, can make with histogram graph representation
Histogram.
Among this method embodiment, the feature difference array is meant according to what different collection of illustrative plates alignment algorithms obtained waits to estimate the poor of a certain collection of illustrative plates eigenwert array in collection of illustrative plates eigenwert array and the spectrum library; GIS shelf depreciation undesired signal spectrum library is meant the aggregate of the collection of illustrative plates that can reflect GIS equipment typical case undesired signal feature that obtains by a large amount of laboratory tests and field operation experiences, and each collection of illustrative plates is all with the sign of corresponding interference type.
Step S205, whether the minimum value in the difference array that determining step S204 obtains is less than credible threshold value T, preferably, this credible threshold setting is 0.25, if less than credible threshold value T then change step S206 over to, if greater than would return the identification that GIS apparatus local discharge that step S202 carries out a new round disturbs.
Step S206 carries out the identification that the GIS apparatus local discharge disturbs according to corresponding charts in the pairing spectrum library of the minimum value in the difference array.
Preferably, above-mentioned according to preferably can the finishing by a device of the embodiment of the invention based on statistical graph spectrum signature GIS apparatus local discharge interference identification method, also can finish jointly by multiple arrangement.
From above description, as can be seen, the invention provides a kind of can be accurately, the identification of GIS apparatus local discharge undesired signal reliably, thereby for realize the GIS apparatus local discharge detect in the differentiation of undesired signal and discharge signal foundation is provided, reached the effect of science, accuracy and the reliability of the detection that improves the GIS apparatus local discharge and diagnosis.
According to embodiments of the invention, provide a kind of device that disturbs identification based on the GIS apparatus local discharge of statistical graph spectrum signature.
Fig. 3 is the synoptic diagram based on statistical graph spectrum signature GIS apparatus local discharge interference recognition device according to the embodiment of the invention.
As shown in Figure 3, this device comprises: detection module 301, modular converter 302, comparison module 303 and first judge module 304.
Wherein, detection module 301 is used for GIS equipment is carried out the detection of shelf depreciation; Modular converter 302 is used for detected data are converted to the statistics collection of illustrative plates; Comparison module 303 is used for described collection of illustrative plates and the spectrum library of presetting are compared; First judge module 304 is used for carrying out according to the result of described comparison the identification of undesired signal.
Preferably, this pick-up unit also comprises: second judge module 305.
Wherein, second judge module 305 is used to judge that whether the sample number of described GIS Equipment Inspection is greater than predetermined threshold value.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. a recognition methods of disturbing based on the GIS apparatus local discharge of statistical graph spectrum signature is characterized in that, comprising:
GIS equipment is carried out the detection of shelf depreciation;
Detected data are converted to the statistics collection of illustrative plates;
Statistics collection of illustrative plates and the spectrum library of presetting are compared;
Carry out the identification that the GIS apparatus local discharge disturbs according to result relatively.
2. the method for claim 1 is characterized in that, before detected data being converted to the statistics collection of illustrative plates, described method also comprises: judge that whether described detection sample number is greater than predetermined threshold value; In judged result is under the situation that is, the data of described shelf depreciation are converted to the statistics collection of illustrative plates.
3. as each described method in the claim 1 to 2, it is characterized in that, described statistics collection of illustrative plates comprise following one of at least: scatter diagram, gray-scale map, histogram, three-dimensional plot and time frequency analysis figure.
4. as each described method in the claim 1 to 2, it is characterized in that, the shelf depreciation of GIS equipment is detected comprise and one of utilizing in the following detection method at least: pulse current detection method, superfrequency detection method, ultrasonic Detection Method.
5. as each described method in the claim 1 to 2, it is characterized in that each collection of illustrative plates all has the sign of interference type in the described spectrum library.
6. according to each described method in the claim 1 to 2, it is characterized in that, described statistics collection of illustrative plates and default spectrum library are compared comprise:
Described statistics collection of illustrative plates and default spectrum library are compared, obtain the feature difference array of described statistics collection of illustrative plates and default spectrum library;
Judge that minimum value in the described feature difference array is whether less than the threshold value of setting;
Under the situation of minimum value in described feature difference array less than the threshold value of setting, carry out the identification of described GIS apparatus local discharge interference according to the result of described comparison.
7. the GIS apparatus local discharge based on the statistical graph spectrum signature disturbs recognition device, it is characterized in that, comprising:
Detection module is used for GIS equipment is carried out the detection of shelf depreciation;
Modular converter is used for detected data are converted to the statistics collection of illustrative plates;
Comparison module is used for described statistics collection of illustrative plates and the spectrum library of presetting are compared;
First judge module is used for carrying out according to the result of described comparison the identification of undesired signal;
Above-mentioned four modules link to each other successively.
8. device according to claim 7 is characterized in that, described device comprises: second judge module between detection module and modular converter, is used to judge that whether the sample number of described GIS Equipment Inspection is greater than predetermined threshold value.
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| CN 201010258588 CN102023278A (en) | 2010-07-16 | 2010-08-20 | Method and device for identifying partial discharge interference of GIS equipment |
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| CN201010232867 | 2010-07-16 | ||
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| CN 201010258588 CN102023278A (en) | 2010-07-16 | 2010-08-20 | Method and device for identifying partial discharge interference of GIS equipment |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102230902A (en) * | 2011-07-11 | 2011-11-02 | 云南电力试验研究院(集团)有限公司 | Method for visually and intelligently identifying internal defects of GIS (Geographic Information System) equipment |
| CN103091612A (en) * | 2013-01-16 | 2013-05-08 | 重庆市电力公司电力科学研究院 | Separation and recognition algorithm for transformer oiled paper insulation multiple partial discharging source signals |
| CN103176113A (en) * | 2013-04-02 | 2013-06-26 | 国家电网公司 | Gas insulated switchgear (GIS) partial discharge calibration method and system |
| CN104007374A (en) * | 2014-06-03 | 2014-08-27 | 华北电力大学 | Inference signal prevention method in converter transformer partial discharge detection experiment |
| CN104459484A (en) * | 2014-11-13 | 2015-03-25 | 南方电网科学研究院有限责任公司 | Recognition method for on-site interference signals in converter station overhaul workshop |
| WO2015074285A1 (en) * | 2013-11-20 | 2015-05-28 | 国家电网公司 | Method for testing density uniformity of basin-type insulator |
| CN105891682A (en) * | 2016-06-27 | 2016-08-24 | 国网山东省电力公司济南供电公司 | Novel small-current grounding line selection system |
| CN106443238A (en) * | 2016-08-27 | 2017-02-22 | 许继集团有限公司 | High-voltage equipment state evaluation method, high-voltage equipment on-line monitoring device evaluation method and apparatuses |
| CN108919068A (en) * | 2018-06-07 | 2018-11-30 | 国网宁夏电力有限公司电力科学研究院 | Power equipment intermittent defect signal recognition method |
| CN112034310A (en) * | 2020-07-31 | 2020-12-04 | 国网山东省电力公司东营供电公司 | Partial discharge defect diagnosis method and system for combined electrical appliance |
| CN113156284A (en) * | 2021-04-28 | 2021-07-23 | 西安西电开关电气有限公司 | Method and device for processing interference signals of GIS equipment switching action |
| CN113391176A (en) * | 2021-07-29 | 2021-09-14 | 广东电网有限责任公司 | GIS partial discharge intelligent monitoring device based on edge calculation |
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Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102230902A (en) * | 2011-07-11 | 2011-11-02 | 云南电力试验研究院(集团)有限公司 | Method for visually and intelligently identifying internal defects of GIS (Geographic Information System) equipment |
| CN103091612A (en) * | 2013-01-16 | 2013-05-08 | 重庆市电力公司电力科学研究院 | Separation and recognition algorithm for transformer oiled paper insulation multiple partial discharging source signals |
| CN103091612B (en) * | 2013-01-16 | 2014-12-10 | 重庆市电力公司电力科学研究院 | Separation and recognition algorithm for transformer oiled paper insulation multiple partial discharging source signals |
| CN103176113A (en) * | 2013-04-02 | 2013-06-26 | 国家电网公司 | Gas insulated switchgear (GIS) partial discharge calibration method and system |
| WO2015074285A1 (en) * | 2013-11-20 | 2015-05-28 | 国家电网公司 | Method for testing density uniformity of basin-type insulator |
| CN104007374B (en) * | 2014-06-03 | 2017-01-18 | 华北电力大学 | Inference signal prevention method in converter transformer partial discharge detection experiment |
| CN104007374A (en) * | 2014-06-03 | 2014-08-27 | 华北电力大学 | Inference signal prevention method in converter transformer partial discharge detection experiment |
| CN104459484A (en) * | 2014-11-13 | 2015-03-25 | 南方电网科学研究院有限责任公司 | Recognition method for on-site interference signals in converter station overhaul workshop |
| CN104459484B (en) * | 2014-11-13 | 2017-06-09 | 南方电网科学研究院有限责任公司 | The recognition methods of interference signal in a kind of live current conversion station maintenance factory building |
| CN105891682A (en) * | 2016-06-27 | 2016-08-24 | 国网山东省电力公司济南供电公司 | Novel small-current grounding line selection system |
| CN105891682B (en) * | 2016-06-27 | 2019-01-29 | 国网山东省电力公司济南供电公司 | A kind of novel Little Current Ground Connection System |
| CN106443238A (en) * | 2016-08-27 | 2017-02-22 | 许继集团有限公司 | High-voltage equipment state evaluation method, high-voltage equipment on-line monitoring device evaluation method and apparatuses |
| CN106443238B (en) * | 2016-08-27 | 2020-02-21 | 许继集团有限公司 | High-voltage equipment state evaluation method, online monitoring device evaluation method and device |
| CN108919068A (en) * | 2018-06-07 | 2018-11-30 | 国网宁夏电力有限公司电力科学研究院 | Power equipment intermittent defect signal recognition method |
| CN108919068B (en) * | 2018-06-07 | 2021-09-14 | 国网宁夏电力有限公司电力科学研究院 | Intermittent defect signal identification method for power equipment |
| CN112034310A (en) * | 2020-07-31 | 2020-12-04 | 国网山东省电力公司东营供电公司 | Partial discharge defect diagnosis method and system for combined electrical appliance |
| CN113156284A (en) * | 2021-04-28 | 2021-07-23 | 西安西电开关电气有限公司 | Method and device for processing interference signals of GIS equipment switching action |
| CN113391176A (en) * | 2021-07-29 | 2021-09-14 | 广东电网有限责任公司 | GIS partial discharge intelligent monitoring device based on edge calculation |
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Application publication date: 20110420 |