JPH0498162A - Abnormality monitoring device for transformer - Google Patents
Abnormality monitoring device for transformerInfo
- Publication number
- JPH0498162A JPH0498162A JP21732090A JP21732090A JPH0498162A JP H0498162 A JPH0498162 A JP H0498162A JP 21732090 A JP21732090 A JP 21732090A JP 21732090 A JP21732090 A JP 21732090A JP H0498162 A JPH0498162 A JP H0498162A
- Authority
- JP
- Japan
- Prior art keywords
- concentration
- transformer
- gas
- density
- abnormality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000005856 abnormality Effects 0.000 title claims abstract description 26
- 238000012806 monitoring device Methods 0.000 title claims description 6
- 238000005259 measurement Methods 0.000 claims abstract description 5
- 238000013480 data collection Methods 0.000 claims description 3
- 230000005540 biological transmission Effects 0.000 abstract description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
- 239000007789 gas Substances 0.000 description 24
- 238000010586 diagram Methods 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- GZPBVLUEICLBOA-UHFFFAOYSA-N 4-(dimethylamino)-3,5-dimethylphenol Chemical compound CN(C)C1=C(C)C=C(O)C=C1C GZPBVLUEICLBOA-UHFFFAOYSA-N 0.000 description 1
- OTMSDBZUPAUEDD-UHFFFAOYSA-N Ethane Chemical compound CC OTMSDBZUPAUEDD-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000006260 foam Substances 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 239000001257 hydrogen Substances 0.000 description 1
- 229910052739 hydrogen Inorganic materials 0.000 description 1
- 125000004435 hydrogen atom Chemical class [H]* 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
Landscapes
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
Description
【発明の詳細な説明】
A、産業上の利用分野
本発明は、変圧器の異常監視装置に係り、特に可燃性力
゛ス濃度による異常監視装置に関する。DETAILED DESCRIPTION OF THE INVENTION A. Field of Industrial Application The present invention relates to an abnormality monitoring device for a transformer, and more particularly to an abnormality monitoring device based on flammable force concentration.
B1発明の概要
本発明は、変圧器が発生する可燃性ガスの濃度から変圧
器の異常を監視するにおいて、ガス濃度の所定期間単位
の増加率から異常の有無を判定することにより、
確実な異常判定を得るものである。B1 Summary of the Invention The present invention monitors abnormalities in a transformer based on the concentration of flammable gas generated by the transformer, by determining the presence or absence of an abnormality from the rate of increase in gas concentration in units of a predetermined period of time. It is for obtaining a judgment.
C8従来の技術
油入変圧器は、絶縁物の劣化反応に伴ってガスを発生し
、このガスが絶縁油に溶解又はアワとなって油面」二の
空間に放出される。そこで、変圧器の異常判定に油中溶
解ガスの分析又は密封コンサベータ中のガス分析を行い
、可燃性ガス(水素]
メタン、エタン等)の濃度によって異常の有無を判定す
る方法がある。C8 Conventional Technology Oil-immersed transformers generate gas as a result of the deterioration reaction of the insulator, and this gas is dissolved in the insulating oil or becomes foam and released into the space above the oil level. Therefore, there is a method of determining whether there is an abnormality in a transformer by analyzing dissolved gas in oil or gas in a sealed conservator, and determining the presence or absence of an abnormality based on the concentration of flammable gas (hydrogen, methane, ethane, etc.).
この判定には例えば保守員の手作業によって変圧器本体
から油を採取し、採取した油をガスクロマトグラフィー
等で分析を行い、ガス濃度の大小から異常判定を行って
いる。For this determination, for example, oil is manually collected from the transformer body by a maintenance worker, the collected oil is analyzed by gas chromatography, etc., and an abnormality is determined based on the magnitude of the gas concentration.
D0発明が解決しようとする課題
従来の判定方式では、ガス濃度の大小でのみ判定するも
ので、油採取時の油温や変圧器内でのコロナ放電発生状
況等によってガス濃度が大きく変動することから、正確
な判定ができない問題があった。D0 Problems to be solved by the invention In the conventional determination method, the determination is made only by the magnitude of the gas concentration, and the gas concentration fluctuates greatly depending on the oil temperature at the time of oil extraction, the state of corona discharge in the transformer, etc. Therefore, there was a problem that accurate judgment could not be made.
本発明の目的は、可燃性ガス濃度による異常判定を確実
にする監視装置を提供することにある。An object of the present invention is to provide a monitoring device that ensures abnormality determination based on combustible gas concentration.
E1課題を解決するための手と作用
本発明は、前記目的を達成するため、変圧器が発生する
可燃性ガスの濃度を検出する濃度測定手段と、前記濃度
を日単位の濃度データとして収集するデータ収集手段と
、前記各濃度データの比較により所定期間単位の濃度増
加率を求める演算手段と、前記濃度増加率が所定値を越
えるか否かで変圧器の異常を判定する手段とを備え、所
定期間単位のガス濃度増加率の大小で変圧器の異常の有
無を判定する。In order to achieve the above object, the present invention provides a concentration measuring means for detecting the concentration of combustible gas generated by a transformer, and a method for collecting the concentration as daily concentration data. comprising a data collection means, a calculation means for calculating a concentration increase rate in units of a predetermined period by comparing each of the concentration data, and a means for determining an abnormality of the transformer based on whether the concentration increase rate exceeds a predetermined value, The presence or absence of an abnormality in the transformer is determined based on the magnitude of the gas concentration increase rate in units of a predetermined period.
また、本発明は、濃度増加率は複数日付の濃度データか
ら最大値と最小値を除いた平均値を比較して求めること
により、濃度データの変動による誤った判定を防止する
。Further, in the present invention, the concentration increase rate is determined by comparing the average value obtained by removing the maximum value and the minimum value from the concentration data of a plurality of dates, thereby preventing erroneous determination due to fluctuations in the concentration data.
F、実施例
第1図は本発明の一実施例を示すシステム構成図である
。判定対象となるn台の変圧器TF、〜TF、には夫々
油中ガス分析器11〜1nが取り付けられ、定期的に又
は分析指令を与えるとぎに夫々の変圧器の油中の可燃性
ガス濃度を自動測定する。シーケンサユニット2□〜2
fiは夫々油中ガス分析器1.〜14が分析した可燃性
ガス濃度データを収集すると共にLAN構成の伝送路3
を通して中央のコンピュータ4にデータ伝送を行う。コ
ンピュータ4はシーケンサ21〜2.、へのデータ収集
手段と、これに対するデータ収集を変圧型別に行い、ま
た収集データを使って各変圧器の異常判定を行う。出力
装置5はCRT及びプリンタ等で構成され、コンピュー
タ4からのデータ及び異常判定の出力表示とプリントア
ウトを行う。F. Embodiment FIG. 1 is a system configuration diagram showing an embodiment of the present invention. Gas-in-oil analyzers 11-1n are installed in each of the n transformers TF, ~TF, to be determined, and detect combustible gas in the oil of each transformer periodically or when an analysis command is given. Automatically measure concentration. Sequencer unit 2□~2
fi is a gas-in-oil analyzer 1. ~14 collects the combustible gas concentration data analyzed and transmits the transmission line 3 of the LAN configuration.
Data is transmitted to the central computer 4 through the central computer 4. The computer 4 has sequencers 21-2. , and data collection for each transformer type, and the collected data is used to determine the abnormality of each transformer. The output device 5 is composed of a CRT, a printer, etc., and displays and prints out data and abnormality determinations from the computer 4.
上述の構成により、各変圧器TF、〜TF、の油中ガス
濃度データが日単位など定期的にコンピュータ4に収集
され、コンピュータ4によるガス濃度の増加率から異常
の有無が判定される。With the above-described configuration, the data on the gas concentration in oil of each transformer TF, -TF is collected by the computer 4 on a daily basis or other periodic basis, and the presence or absence of an abnormality is determined from the rate of increase in the gas concentration by the computer 4.
第2図を異常判定の処理フローチャートを示す。FIG. 2 shows a processing flowchart for abnormality determination.
ガス分析器1□〜1.の測定データを変圧器番号測定日
と共に日単位の濃度データとして少なくとも1年以上収
集しくステップS1)、当日の濃度(白濃度)を求める
(ステップS2)。この白濃度は測定日によるガス発生
状況の違いによる誤りを無くすため、当日を含めて過去
5日分の白濃度から最大値と最小値を除く3日分の平均
値として求める。例えば、第3図に示す白濃度変化に対
し、最大値DMAXと最小値DIJ1Nを除いた当日デ
ータと前々日データを4日前データの平均値を白濃度と
する。Gas analyzer 1□~1. The measurement data is collected together with the transformer number and measurement date as daily density data for at least one year (step S1), and the density (white density) on that day is determined (step S2). In order to eliminate errors due to differences in gas generation conditions depending on the day of measurement, this white concentration is determined as the average value for three days excluding the maximum and minimum values from the white concentration for the past five days including the current day. For example, for the white density change shown in FIG. 3, the average value of the current day's data excluding the maximum value DMAX and the minimum value DIJ1N, the data from two days before, and the data from four days ago is set as the white density.
第1図に戻って、定期的に日濃度データを記憶しながら
、月単位の濃度(月濃度)を求める(ステップS3)。Returning to FIG. 1, monthly concentrations (monthly concentrations) are determined while periodically storing daily concentration data (step S3).
この月濃度は、日濃度と同様に1月前の当日を含めて過
去7日分の日濃度から最大値と最小値を除く5日分の平
均値として求める。Similar to the daily concentration, this monthly concentration is determined as the average value for the past 7 days, including the current day one month ago, excluding the maximum and minimum values for the past 5 days.
同様に、年単位の濃度(年濃度)として、1年前の当日
を含めて過去14日分の日濃度から最大値と最小値及び
それらに次いで大きい値と小さい値を除< +−0口分
の平均値として求める(ステップS4)。例えば、第4
図には1年前の当日からその前日乃至13日前までの濃
度データを示し、このデータから最大値D1とその次に
大きい値D2を除くと共に最小値D3とその次に小さい
値D4を除いた残りの10日分のデータの平均値を1年
前の年濃度として求める。Similarly, as the annual concentration (yearly concentration), remove the maximum value, minimum value, and the next largest and smallest values from the daily concentration for the past 14 days, including the day one year ago. It is obtained as an average value of the minutes (step S4). For example, the fourth
The figure shows the concentration data from that day one year ago to the day before to 13 days ago, and from this data, the maximum value D1 and the next largest value D2 were removed, and the minimum value D3 and the next smallest value D4 were removed. The average value of the remaining 10 days' worth of data is determined as the annual concentration one year ago.
上述までの処理により、日濃度を求めた当日には1ケ月
前の月濃度と1年前の年濃度が求められる。これら濃度
データから年間の濃度増加率と月間の濃度増加率を求め
、この増加率が所定値以上あるか否かによって変圧器異
常を判定する。ステップS5は年間の濃度増加率を判定
し、日濃度と1年前の年濃度の差が所定値αを越える場
合に変圧器異常を要注意と判定する。この判定には出力
装置5やブザーで注意警報を発生する(ステップS6)
。ステップS7は月間の濃度増加率を判定し、日濃度と
1ケ月前の月漁度の差が所定値βを越える場合に変圧器
異常と判定し、ステップs8によって異常警報を発生す
る。Through the processing described above, on the day when the daily concentration is determined, the monthly concentration one month ago and the annual concentration one year ago are determined. An annual concentration increase rate and a monthly concentration increase rate are determined from these concentration data, and a transformer abnormality is determined based on whether the increase rate is greater than a predetermined value. Step S5 determines the annual concentration increase rate, and if the difference between the daily concentration and the annual concentration one year ago exceeds a predetermined value α, it is determined that a transformer abnormality requires attention. For this determination, a caution warning is generated by the output device 5 or a buzzer (step S6).
. Step S7 determines the monthly concentration increase rate, and if the difference between the daily concentration and the monthly fishing index one month ago exceeds a predetermined value β, it is determined that the transformer is abnormal, and an abnormality alarm is issued in step S8.
なおステップS5.S7の判定式は差を求める場合を示
すが、比率から求める場合も同様にされる。Note that step S5. The determination formula in S7 shows the case where a difference is calculated, but the same applies when calculating from a ratio.
また、変圧器が発生する可燃性ガス濃度は、密封コンサ
ベータ中のガス濃度の検出から判定する構成でも良い。Further, the concentration of combustible gas generated by the transformer may be determined from the detection of the gas concentration in the sealed conservator.
また、濃度増加率は月単位又は1年単位で求める場合を
示すが、これは半月単位、半年単位なと変圧器の運用状
況等から適宜設定する期間単位で判定する。In addition, although the concentration increase rate is determined on a monthly or yearly basis, it is determined on a half-monthly, half-yearly, or other period basis as appropriate based on the operational status of the transformer.
G1発明の効果
以上のとおり、本発明によれば、変圧器が発生する可燃
性ガスの濃度増加率を所定値単位で求め、その大小で変
圧器の異常を判定するようにしたため、当日分の濃度の
大小のみによる従来の判定方法に較べて濃度増加の度合
からの判定になって正確な判定を得ることができる。Effects of the G1 Invention As described above, according to the present invention, the rate of increase in the concentration of combustible gas generated by the transformer is determined in units of predetermined values, and abnormalities in the transformer are determined based on the magnitude of the increase rate, so that Compared to the conventional determination method based only on the magnitude of the concentration, it is possible to obtain a more accurate determination based on the degree of increase in concentration.
また、本発明は、濃度増加率を複数日付のデータから最
大値と最小値を除いた平均値として求めるため、変圧器
の運転状況等によってガス発生度合が変動する場合にも
正確な濃度判定による正確な異常判定を得ることができ
る。In addition, since the present invention calculates the concentration increase rate as an average value excluding the maximum and minimum values from data for multiple dates, accurate concentration determination is possible even when the degree of gas generation fluctuates depending on the operating status of the transformer, etc. Accurate abnormality determination can be obtained.
さらに、濃度増加率を求めることから当日以降の濃度増
加を予測することができ、絶縁油の交換時期や変圧器の
寿命を予1i1111して変電所の運用管理等に利用す
ることができる。Furthermore, by determining the rate of increase in concentration, it is possible to predict the increase in concentration after that day, and it is possible to predict when to replace insulating oil and the lifespan of a transformer, and to use this information for operational management of a substation, etc.
第1図は本発明の一実施例を示すシステム構成図、第2
図は実施例の処理フローチャート、第3図は日濃度判定
の態様図、第4図は年濃度判定の態様図である。
1、.1.・・・油中ガス分析器、2+、2.・・・シ
ーケンサユニット、
4・・・コンピュータ、
5・・・出力装置。
外1名Fig. 1 is a system configuration diagram showing one embodiment of the present invention;
The figure is a processing flowchart of the embodiment, FIG. 3 is a mode diagram of daily concentration determination, and FIG. 4 is a mode diagram of annual concentration determination. 1. 1. ... Gas in oil analyzer, 2+, 2. ...Sequencer unit, 4.Computer, 5.Output device. 1 other person
Claims (2)
度測定手段と、前記濃度を日単位の濃度データとして収
集するデータ収集手段と、前記各濃度データの比較によ
り所定期間単位の濃度増加率を求める演算手段と、前記
濃度増加率が所定値を越えるか否かで変圧器の異常を判
定する手段とを備えたことを特徴とする変圧器の異常監
視装置。(1) Concentration measurement means for detecting the concentration of combustible gas generated by the transformer, data collection means for collecting the concentration as daily concentration data, and concentration increase for a predetermined period by comparing each of the concentration data. 1. An abnormality monitoring device for a transformer, comprising: arithmetic means for determining the concentration increase rate; and means for determining abnormality in the transformer based on whether the concentration increase rate exceeds a predetermined value.
値と最小値を除いた平均値を比較して求めることを特徴
とする変圧器の異常監視装置。(2) The abnormality monitoring device for a transformer, wherein the concentration increase rate is determined by comparing an average value obtained by removing a maximum value and a minimum value from concentration data for a plurality of days.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP21732090A JP2921061B2 (en) | 1990-08-17 | 1990-08-17 | Transformer abnormality monitoring device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP21732090A JP2921061B2 (en) | 1990-08-17 | 1990-08-17 | Transformer abnormality monitoring device |
Publications (2)
Publication Number | Publication Date |
---|---|
JPH0498162A true JPH0498162A (en) | 1992-03-30 |
JP2921061B2 JP2921061B2 (en) | 1999-07-19 |
Family
ID=16702325
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP21732090A Expired - Lifetime JP2921061B2 (en) | 1990-08-17 | 1990-08-17 | Transformer abnormality monitoring device |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP2921061B2 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104007336A (en) * | 2014-05-06 | 2014-08-27 | 昆明理工大学 | Transformer on-line monitoring information polymerization method based on internet of things |
CN104181427A (en) * | 2014-08-29 | 2014-12-03 | 广州电力设计院 | Online monitoring system of intelligent substation transformer |
CN106526055A (en) * | 2016-12-13 | 2017-03-22 | 贵州电网有限责任公司都匀供电局 | No-load gas-oil chromatography online monitoring system |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105092717B (en) * | 2015-08-13 | 2017-03-29 | 国家电网公司 | A kind of full-automatic transformer oil chromatography on-Line Monitor Device check system |
-
1990
- 1990-08-17 JP JP21732090A patent/JP2921061B2/en not_active Expired - Lifetime
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104007336A (en) * | 2014-05-06 | 2014-08-27 | 昆明理工大学 | Transformer on-line monitoring information polymerization method based on internet of things |
CN104181427A (en) * | 2014-08-29 | 2014-12-03 | 广州电力设计院 | Online monitoring system of intelligent substation transformer |
CN106526055A (en) * | 2016-12-13 | 2017-03-22 | 贵州电网有限责任公司都匀供电局 | No-load gas-oil chromatography online monitoring system |
Also Published As
Publication number | Publication date |
---|---|
JP2921061B2 (en) | 1999-07-19 |
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