CN107356837A - A kind of improved reactor interturn short circuit fault detection recognition method - Google Patents

A kind of improved reactor interturn short circuit fault detection recognition method Download PDF

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CN107356837A
CN107356837A CN201710560914.7A CN201710560914A CN107356837A CN 107356837 A CN107356837 A CN 107356837A CN 201710560914 A CN201710560914 A CN 201710560914A CN 107356837 A CN107356837 A CN 107356837A
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msub
mfrac
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reactor
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CN107356837B (en
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庄建煌
朱俊伟
陈晶腾
周静
涂少婷
李敏
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State Grid Fujian Electric Power Co Ltd
Putian Power Supply Co of State Grid Fujian Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Fujian Electric Power Co Ltd
Putian Power Supply Co of State Grid Fujian Electric Power Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/72Testing of electric windings

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  • Monitoring And Testing Of Nuclear Reactors (AREA)

Abstract

The invention provides a kind of improved reactor interturn short circuit fault detection recognition method, using a kind of detection recognition method based on detection of magnetic field;Search coil is installed on the surface of reactor, whether the change of the voltage difference sensed by monitoring search coil in real time is abnormal come real-time judge reactor surrounding magnetic field, the voltage sample value U of search coil sensingjObtained by central slide averaging method, detection signal and normal signal, which make the difference, draws E >=k σ, k=3~5, and as k >=3, shorted-turn fault occurs.Fault pre-alarming promptly and accurately and alarm of the reactor interturn short circuit fault in the early stage with period of expansion can be realized using the technical program.

Description

A kind of improved reactor interturn short circuit fault detection recognition method
Technical field
The present invention relates to a kind of field of inductor turn-to-turn fault detection, in particular to a kind of improved reactor turn-to-turn are short Road fault detect recognition methods.
Background technology
Dry-type air-core reactor plays compensating power, limiting short-circuit current in power system, filters out higher hamonic wave It is one of important power equipment of power system Deng effect, is usually applied to open air.Because operating mode is severe, Frequent Accidents, and circle Between short trouble frequency account for more than the 50% of the total frequency of dry-type air-core reactor failure, if cannot arrange in time Remove, reactor can directly be burnt and cause power outage by localized hyperthermia caused by short circuit current, have a strong impact on power system Stable operation.Therefore effective detection shorted-turn fault is the key for ensureing dry-type air-core reactor stable operation.
Currently for dry-type air-core reactor shorted-turn fault, the detection method used both at home and abroad has:Turn-to-turn insulation is examined Survey method and power direction detection method.Wherein the former be a kind of off-line type inspect periodically, Forecasting Methodology, preventive trial system is basic Equipment normal operation during testing twice can be ensured, but it there are three defects:The economic loss brought due to stoppage in transit;Offline examination Test situation when can not accurately reflect equipment operation;Experiment has certain destructiveness, shortens the service life of equipment.The latter The occasion for serious shorted-turn fault hidden danger occur is mainly suitable for, but sensitivity is insufficient, can not detect a small number of circle short circuits, i.e., it is light Micro- turn-to-turn short circuit.Therefore the traditional detection method of dry-type air-core reactor shorted-turn fault to initial stage of shorted-turn fault and The degree of accuracy and under-sensitive be present when being detected in a small number of turn-to-turn short circuits.
Dry-type air-core reactor can produce symmetrical magnetic field around it in normal operation, once circle occurs Between short trouble, there are one or several voluntarily to close the generation of the short-circuited conducting sleeve of sum in reactor, will have very in short-circuit ring coil Big induced-current by and be reacted in the voltage waveform that search coil induces.Caused magnetic field can offset portion in short-circuited conducting sleeve The magnetic field divided under normal condition, so as to destroy the symmetry of electric reactor magnetic field.In order to detect the change in magnetic field, in the table of reactor Face is installed by symmetrically placed a pair or some to search coil, the change of the voltage difference by monitoring the sensing of each pair search coil in real time Change and whether extremely to carry out real-time judge reactor surrounding magnetic field, so as to realize to the real-time of dry-type air-core reactor shorted-turn fault On-line checking.Position electromagnetic field change is induced by search coil, induced signal u, table are exported in a manner of voltage signal It is as follows up to formula:
In formula:S is the sectional area of coil;B (t) is that the space magnetic of reactor is close;For magnetic flux;N is search coil The number of turn.
From above formula, induced voltage u and in the unit interval magnetic flux B change it is directly proportional, for normal operating mode 50Hz For, the u values are little and more stable, but for the flux change of turn-to-turn short circuit transient state, because action time is very short, meeting 10 can be improved by producing the u of transient state change1~103More than times, the voltage signal change of pulse property is formed, based on u variation abnormalities Signal recognition, reliably can evaluate and determine whether there occurs turn-to-turn short circuit inside reactor.
Search coil senses during reactor normal work differential signal is simultaneously not zero, but one has certain amplitude Moment occurs for sinusoidal signal, failure, and the high fdrequency component of differential voltage can be clearly detected, but it is short that slight turn-to-turn occurs During the failure of road, due to the influence of interference signal and sampling error, still directly using the high fdrequency component come failure judgement can produce compared with Big error.
The content of the invention
It is an object of the invention to overcome above-mentioned deficiency of the prior art, on the basis of detection of magnetic field method, it is proposed that A kind of improved reactor interturn short circuit fault detection recognition method, carry out smooth sampled data by using slip average first, Further according to limits of error threshold Controlling model come judge whether occur turn-to-turn fault, realize reactor interturn short circuit fault in the early stage and The on-line monitoring of period of expansion and fault pre-alarming promptly and accurately.
In order to solve the above-mentioned technical problem, the invention provides a kind of improved reactor interturn short circuit fault detection identification Method, employ a kind of detection recognition method based on detection of magnetic field;
Inner surface is encapsulated in the innermost layer of reactor or symmetrically placed a pair or some are installed in outermost layer encapsulating outer surface To search coil, the change of the voltage difference sensed by monitoring each pair search coil in real time is come real-time judge reactor surrounding magnetic field It is whether abnormal, so as to realize the real-time online detection to reactor interturn short circuit fault;Specifically include following steps:
First, filtered data value is obtained using central slide averaging method;
The voltage sample value of search coil sensing is designated as Uj, sampled value carry out N points it is smooth after data value it is true by formula (1) It is fixed,
In formula:N is that the statistical sample of mean value computation is counted, N=4,6 ...;
Wherein Udav(Ui, N) and it is the voltage sample value U that search coil sensesjFiltered data value after N points are smooth, i.e., I-th point of filtered numerical value is formed for the preceding N/2 sampled data of the point and the average of rear N/2 sampled data;
Secondly, characteristic signal used in fault detect is to use the signal crossed through central slide averaging method optimization processing, The statistical sample points N of selection is 3, and it is M to remember filtered signal;The detection signal makes the difference with normal signal, and note deviation is Δ S, note normal signal are MN;
Δ S=M-MN (2)
N in formula1Value algorithm it is as follows:
Use NsTo represent the waveform between crest and trough,
In formula:T is the primary signal cycle;fsamFor specimen sample frequency;F is primary signal intrinsic frequency, the frequency of signal For 50Hz, therefore formula (4) is rewritten into:
Ns=0.01fsam (5)
Use NSCentral slide averaging method is done to Δ S, obtained:
By a decile of sine wave 6, the smooth point in formula (3) is used as by the use of the average queue length for covering such a section Number, generate the central slide average of normal signal:
Finally, MS absolute value is taken, is designated as absolute deviation E, E is distributed across one of amplitude higher than " 0 " under normal circumstances Belt-like zone, when there is turn-to-turn short circuit, E has a larger value;
Based on error theory, its variances sigma is calculated according to absolute deviation E, obtains reactor in normal conditions most The deviation distribution limit threshold of maximum probability;According to 3 σ rules of error analysis,
The Alarm of shorted-turn fault is expressed as:
E3k σ, k=3~5 (8)
As k >=3, shorted-turn fault occurs.
Compared to prior art, technical scheme possesses following beneficial effect:
The invention provides a kind of improved reactor interturn short circuit fault detection recognition method, by using slip average Carry out smooth sampled data, further according to limits of error threshold Controlling model judge whether that turn-to-turn fault occurs, realize reactor turn-to-turn The short trouble fault pre-alarming promptly and accurately with period of expansion in the early stage.
Reactor interturn short circuit event can be built based on this improved reactor interturn short circuit fault detection recognition method Hinder online monitoring system;Existing reactor arrangement and its peripheral equipment operation will not be influenceed by the system, and compatibility is good; It can also be integrated by soft and hardware system altitude, realize working condition, stability and peace in master control room remote monitoring reactor Quan Xing, it can be advantageous to ensure safe operation of electric network with early warning early stage and alarm for reactor interturn short circuit fault.
Embodiment
Hereafter with embodiment, the present invention will be further described.
A kind of improved reactor interturn short circuit fault detection recognition method, employs a kind of detection based on detection of magnetic field Recognition methods.
Dry-type air-core reactor can produce symmetrical magnetic field around it in normal operation, once circle occurs Between short trouble, there are one or several voluntarily to close the generation of the short-circuited conducting sleeve of sum in reactor, will have very in short-circuit ring coil Big induced-current by and be reacted in the voltage waveform that search coil induces.Caused magnetic field can offset portion in short-circuited conducting sleeve The magnetic field divided under normal condition, so as to destroy the symmetry of electric reactor magnetic field.
In order to detect the change in magnetic field, inner surface or outermost layer encapsulating outer surface installation pair are encapsulated in the innermost layer of reactor Claim the change for a pair or some voltage differences to search coil, sensed by monitoring each pair search coil in real time placed come in real time Judge whether reactor surrounding magnetic field is abnormal, so as to realize the real-time online detection to reactor interturn short circuit fault;Specific bag Include following steps:
First, filtered data value is obtained using central slide averaging method;
The sample objects that magnetic field detecting coil obtains, it is the voltage signal that a kind of fundamental wave is 50Hz, when turn-to-turn short circuit occurs High-frequency signal and interference signal difference be 3 aspect.First, interference burr occurs mainly in the Wave crest and wave trough position of waveform Put, and short-circuit high-frequency signal is then the optional position for being randomly occurring in waveform;Secondly, the data point in burr is disturbed generally with this Distribution symmetrical above and below centered on data point in moment normal waveform;Finally, although fault-signal and interference signal relative to 50Hz fundamental signal shows as high-frequency signal, but the former amplitude is significantly greater than the latter.For These characteristics, the present invention borrows Conventional slip smooth median filter of having reflected is smoothly tactful.
First, the problem of waveform after traditional slipping smoothness mean filter is present smoothly lags with respect to actual waveform, it is former Because being that the current smooth data value at each moment is made up of the average of N number of data point before the moment.In order to eliminate Hysteresis on this waveform, we improve original algorithm using central slide averaging method, and the voltage of search coil sensing is adopted Sample value is designated as Uj, sampled value carry out N points it is smooth after data value by formula (1) determine,
In formula:N is that the statistical sample of mean value computation is counted, N=4,6 ...;
Wherein Udav(Ui, N) and it is the voltage sample value U that search coil sensesjFiltered data value after N points are smooth, i.e., I-th point of filtered numerical value is formed for the preceding N/2 sampled data of the point and the average of rear N/2 sampled data.
Because the essence of central slide averaging method is to average, therefore have for symmetrical interference data point good Filtration result.In addition, for the sinusoidal voltage that sample objects are frequency 50Hz, N values determine the length of average queue, and N values are got over Greatly, the smooth effect of overall waveform is better, but the distortion of signal is also more serious, and the sampled value after smoothing processing is close to 0;And N values Count smaller, it is smooth after waveform closer to real primary signal, but smooth effect may be affected, therefore N values It is determined that filter effect is played an important role.
Secondly, characteristic signal used in fault detect is to use the signal crossed through central slide averaging method optimization processing, In order to reduce the distortion of signal, so the statistical sample points N selected is 3,
Made the difference with detection signal and normal signal, so when shorted-turn fault does not occur, acquired results are theoretically 0;When short circuit occurs, a difference will be obtained in theory, it is M to remember filtered signal;Note deviation is Δ S, and note normal signal is MN, obtained by formula (3), thus by the judgment standard of problem from the curve that sine curve is changed into that a value is about " 0 ".
Δ S=M-MN (2)
N in formula1Value algorithm it is as follows:
Due to the change of reactor working condition and the objective reality of sampling error, there is also certain fluctuation in itself by Δ S Property by Δ S, it is necessary to do central slide average value processing.The purpose of this smoothing processing is to obtain Δ S stable average, using its as The benchmark that failure judgement occurs.Interference signal typically result in sinusoidal waveform sampling after occur in crest and wave trough position it is larger Burr, therefore use NsTo represent the waveform between crest and trough,
In formula:T is the primary signal cycle;fsamFor specimen sample frequency;F is primary signal intrinsic frequency, the frequency of signal For 50Hz, therefore formula (4) is rewritten into:
Ns=0.01fsam (5)
Use NSCentral slide averaging method is done to Δ S, obtained:
In order to retain the characteristic fluctuation of primary signal, by a decile of sine wave 6, with the average for covering such a section Queue length generates the central slide average of normal signal as the smooth points in formula (3):
Finally, MS absolute value is taken, is designated as absolute deviation E, due to the presence of sampling error, E is distribution under normal circumstances It is higher than a ribbon region of " 0 " in amplitude.When there is turn-to-turn short circuit, E has a larger value, with the shape of step signal Formula breaks through belt-like zone.
Based on error theory, its variances sigma is calculated according to absolute deviation E, obtains reactor in normal conditions most The deviation distribution limit threshold of maximum probability.According to 3 σ rules of error analysis, the distribution of deviation under nominal situation can more than 3 σ limit thresholds Energy property≤0.0026%, once this event occurs, the fluctuation being just not belonging under nominal situation, it may be possible to which abnormal data has Turn-to-turn short circuit event occurs, its reliability >=99%;
The Alarm of shorted-turn fault is expressed as:
E3k σ, k=3~5 (8)
As k >=3, shorted-turn fault occurs.
The foregoing is only a preferred embodiment of the present invention, but the present invention design concept be not limited thereto, Any one skilled in the art the invention discloses technical scope in, using this design to the present invention carry out it is non- Substantial change, belong to invade the behavior of the scope of the present invention.

Claims (1)

1. a kind of improved reactor interturn short circuit fault detection recognition method, it is characterised in that employ a kind of based on magnetic field spy The detection recognition method of survey;
Inner surface is encapsulated in the innermost layer of reactor or symmetrically placed a pair or some to visiting are installed in outermost layer encapsulating outer surface Test coil, by monitor in real time each pair search coil sense voltage difference change come real-time judge reactor surrounding magnetic field whether It is abnormal, so as to realize the real-time online detection to reactor interturn short circuit fault;Specifically include following steps:
First, filtered data value is obtained using central slide averaging method;
The voltage sample value of search coil sensing is designated as Uj, sampled value carry out N points it is smooth after data value by formula (1) determine,
<mrow> <msub> <mi>U</mi> <mrow> <mi>d</mi> <mi>a</mi> <mi>v</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>U</mi> <mi>i</mi> </msub> <mo>,</mo> <mi>N</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mo>(</mo> <mi>N</mi> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>-</mo> <mi>N</mi> <mo>/</mo> <mn>2</mn> </mrow> <mrow> <mi>i</mi> <mo>+</mo> <mi>N</mi> <mo>/</mo> <mn>2</mn> </mrow> </munderover> <msub> <mi>U</mi> <mi>j</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
In formula:N is that the statistical sample of mean value computation is counted, N=4,6 ...;
Wherein Udav(Ui, N) and it is the voltage sample value U that search coil sensesjFiltered data value after N points are smooth, i.e., i-th The filtered numerical value of point is formed for the preceding N/2 sampled data of the point and the average of rear N/2 sampled data;
Secondly, characteristic signal used in fault detect is using the signal crossed through central slide averaging method optimization processing, is selected Statistical sample points N be 3, it is M to remember filtered signal;The detection signal makes the difference with normal signal, and note deviation is Δ S, Note normal signal is MN;
Δ S=M-MN (2)
<mrow> <mi>M</mi> <mi>N</mi> <mo>=</mo> <msub> <mi>U</mi> <mrow> <mi>d</mi> <mi>a</mi> <mi>v</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>U</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mo>(</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>-</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> <mo>/</mo> <mn>2</mn> </mrow> <mrow> <mi>i</mi> <mo>+</mo> <msub> <mi>N</mi> <mn>1</mn> </msub> <mo>/</mo> <mn>2</mn> </mrow> </munderover> <msub> <mi>U</mi> <mi>j</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
N in formula1Value algorithm it is as follows:
Use NsTo represent the waveform between crest and trough,
<mrow> <msub> <mi>N</mi> <mi>s</mi> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <msub> <mi>Tf</mi> <mrow> <mi>s</mi> <mi>a</mi> <mi>m</mi> </mrow> </msub> <mo>=</mo> <mfrac> <msub> <mi>f</mi> <mrow> <mi>s</mi> <mi>a</mi> <mi>m</mi> </mrow> </msub> <mrow> <mn>2</mn> <mi>f</mi> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
In formula:T is the primary signal cycle;fsamFor specimen sample frequency;F is primary signal intrinsic frequency, and the frequency of signal is 50Hz, therefore formula (4) is rewritten into:
Ns=0.01fsam (5)
Use NSCentral slide averaging method is done to Δ S, obtained:
<mrow> <mi>M</mi> <mi>S</mi> <mo>=</mo> <msub> <mi>U</mi> <mrow> <mi>d</mi> <mi>a</mi> <mi>v</mi> </mrow> </msub> <mrow> <mo>(</mo> <msub> <mi>&amp;Delta;S</mi> <mi>i</mi> </msub> <mo>,</mo> <msub> <mi>N</mi> <mi>S</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mo>(</mo> <msub> <mi>N</mi> <mi>S</mi> </msub> <mo>+</mo> <mn>1</mn> <mo>)</mo> </mrow> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>-</mo> <msub> <mi>N</mi> <mi>S</mi> </msub> <mo>/</mo> <mn>2</mn> </mrow> <mrow> <mi>i</mi> <mo>+</mo> <msub> <mi>N</mi> <mi>S</mi> </msub> <mo>/</mo> <mn>2</mn> </mrow> </munderover> <msub> <mi>&amp;Delta;S</mi> <mi>j</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow>
By a decile of sine wave 6, by the use of covering the average queue length in such a section as the smooth points in formula (3), Generate the central slide average of normal signal:
<mrow> <msub> <mi>N</mi> <mn>1</mn> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <mn>6</mn> </mfrac> <msub> <mi>N</mi> <mi>S</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
Finally, MS absolute value is taken, is designated as absolute deviation E, E is distributed across the ribbon that amplitude is higher than " 0 " under normal circumstances Region, when there is turn-to-turn short circuit, E has a larger value;
Based on error theory, its variances sigma is calculated according to absolute deviation E, obtains reactor in normal conditions most general The deviation distribution limit threshold of rate;According to 3 σ rules of error analysis,
The Alarm of shorted-turn fault is expressed as:
E3k σ, k=3~5 (8)
As k >=3, shorted-turn fault occurs.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109375076A (en) * 2018-11-28 2019-02-22 周超超 A kind of on-line monitoring method for dry-type air-core reactor turn-to-turn insulation failure
CN109470978A (en) * 2018-11-09 2019-03-15 国网北京市电力公司 Determine the method and device of the shorted-turn fault of reactor
CN109507558A (en) * 2019-01-14 2019-03-22 广东电网有限责任公司 A kind of turn insulation defect positioning method, the apparatus and system of coil with iron core
CN109901005A (en) * 2019-02-25 2019-06-18 国网山东省电力公司济南供电公司 Shorted-turn fault detection method, system and the application of axial magnetic field difference
CN114200303A (en) * 2021-11-02 2022-03-18 华中科技大学 Fault detection system based on detection coil group
CN116520196A (en) * 2023-07-03 2023-08-01 国网安徽省电力有限公司电力科学研究院 On-line monitoring method for turn-to-turn short circuit fault of dry type air-core reactor

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4450992A1 (en) * 2023-04-18 2024-10-23 HSP Hochspannungsgeräte GmbH Method for monitoring an electrical device comprising at least one coil for winding short circuits, monitoring device, use and arrangement

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6064182A (en) * 1997-06-13 2000-05-16 Sony Corporation Battery pack, battery remaining capacity detection method, and application device driven with battery pack as power source
JP2001183397A (en) * 1999-12-24 2001-07-06 Toyo Commun Equip Co Ltd Level measuring method using digital filter
JP2002223524A (en) * 2001-01-29 2002-08-09 Fuji Electric Co Ltd Static type flicker compensator
US20070052426A1 (en) * 2005-08-01 2007-03-08 Wells Charles H On-line transformer condition monitoring
CN101630833A (en) * 2009-08-21 2010-01-20 江西省电力公司超高压分公司 Interturn protection method of high-voltage shunt reactor based on parameter unbalance detection
CN101881802A (en) * 2010-07-06 2010-11-10 西安交通大学 Dry type hollow reactor interturn short circuit fault on-line real-time detection method
CN202471886U (en) * 2012-03-07 2012-10-03 华北电网有限公司唐山供电公司 On-line monitoring and protection device of series reactor
CN203811730U (en) * 2014-02-26 2014-09-03 天津二十冶建设有限公司 A dismounting-free multi-cable parallel connection cross short circuit fault detection system
US8879285B2 (en) * 2011-02-03 2014-11-04 Nippon Soken, Inc. Power converter for outputting power to a system
CN104155556A (en) * 2014-08-30 2014-11-19 秦皇岛有源理工科技开发有限公司 Dry-type air-core reactor online monitoring device and loss monitoring method
CN105513357A (en) * 2015-12-30 2016-04-20 银江股份有限公司 Method for calibrating traffic flow basic map parameter on the basis of microwave data
CN205193205U (en) * 2015-12-04 2016-04-27 珠海市集森电器有限公司 Dry -type air -core reactor turn to turn short -circuit fault on -line monitoring system
CN105807178A (en) * 2015-01-16 2016-07-27 全玉生 Wavelet analysis-based distribution transformer turn-to-turn short circuit monitoring method
CN205749767U (en) * 2016-06-15 2016-11-30 武汉朗德电气有限公司 A kind of dry type hollow shunt reactor on-Line Monitor Device
CN106786368A (en) * 2016-12-26 2017-05-31 云南电网有限责任公司电力科学研究院 The guard method of the dry type hollow shunt reactor based on voltage-phase variable quantity
CN106841883A (en) * 2017-04-13 2017-06-13 山东汇能电气有限公司 Reactor method for monitoring operation states in high-voltage power capacitor complexes

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6064182A (en) * 1997-06-13 2000-05-16 Sony Corporation Battery pack, battery remaining capacity detection method, and application device driven with battery pack as power source
JP2001183397A (en) * 1999-12-24 2001-07-06 Toyo Commun Equip Co Ltd Level measuring method using digital filter
JP2002223524A (en) * 2001-01-29 2002-08-09 Fuji Electric Co Ltd Static type flicker compensator
US20070052426A1 (en) * 2005-08-01 2007-03-08 Wells Charles H On-line transformer condition monitoring
CN101630833A (en) * 2009-08-21 2010-01-20 江西省电力公司超高压分公司 Interturn protection method of high-voltage shunt reactor based on parameter unbalance detection
CN101881802A (en) * 2010-07-06 2010-11-10 西安交通大学 Dry type hollow reactor interturn short circuit fault on-line real-time detection method
CN101881802B (en) * 2010-07-06 2012-07-04 西安交通大学 Dry type hollow reactor interturn short circuit fault on-line real-time detection method
US8879285B2 (en) * 2011-02-03 2014-11-04 Nippon Soken, Inc. Power converter for outputting power to a system
CN202471886U (en) * 2012-03-07 2012-10-03 华北电网有限公司唐山供电公司 On-line monitoring and protection device of series reactor
CN203811730U (en) * 2014-02-26 2014-09-03 天津二十冶建设有限公司 A dismounting-free multi-cable parallel connection cross short circuit fault detection system
CN104155556A (en) * 2014-08-30 2014-11-19 秦皇岛有源理工科技开发有限公司 Dry-type air-core reactor online monitoring device and loss monitoring method
CN105807178A (en) * 2015-01-16 2016-07-27 全玉生 Wavelet analysis-based distribution transformer turn-to-turn short circuit monitoring method
CN205193205U (en) * 2015-12-04 2016-04-27 珠海市集森电器有限公司 Dry -type air -core reactor turn to turn short -circuit fault on -line monitoring system
CN105513357A (en) * 2015-12-30 2016-04-20 银江股份有限公司 Method for calibrating traffic flow basic map parameter on the basis of microwave data
CN205749767U (en) * 2016-06-15 2016-11-30 武汉朗德电气有限公司 A kind of dry type hollow shunt reactor on-Line Monitor Device
CN106786368A (en) * 2016-12-26 2017-05-31 云南电网有限责任公司电力科学研究院 The guard method of the dry type hollow shunt reactor based on voltage-phase variable quantity
CN106841883A (en) * 2017-04-13 2017-06-13 山东汇能电气有限公司 Reactor method for monitoring operation states in high-voltage power capacitor complexes

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杨国锋 等: "一起低压并联电抗器贯穿性闪络故障分析", 《科技论坛》 *
黎华: "干式空芯电抗器匝间短路在线监测方法的研究探讨", 《电网技术》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109470978A (en) * 2018-11-09 2019-03-15 国网北京市电力公司 Determine the method and device of the shorted-turn fault of reactor
CN109375076A (en) * 2018-11-28 2019-02-22 周超超 A kind of on-line monitoring method for dry-type air-core reactor turn-to-turn insulation failure
CN109507558A (en) * 2019-01-14 2019-03-22 广东电网有限责任公司 A kind of turn insulation defect positioning method, the apparatus and system of coil with iron core
CN109901005A (en) * 2019-02-25 2019-06-18 国网山东省电力公司济南供电公司 Shorted-turn fault detection method, system and the application of axial magnetic field difference
CN114200303A (en) * 2021-11-02 2022-03-18 华中科技大学 Fault detection system based on detection coil group
CN114200303B (en) * 2021-11-02 2023-03-10 华中科技大学 Fault detection system based on detection coil group
CN116520196A (en) * 2023-07-03 2023-08-01 国网安徽省电力有限公司电力科学研究院 On-line monitoring method for turn-to-turn short circuit fault of dry type air-core reactor
CN116520196B (en) * 2023-07-03 2023-09-22 国网安徽省电力有限公司电力科学研究院 On-line monitoring method for turn-to-turn short circuit fault of dry type air-core reactor

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