JPH05274937A - Prediction device for insulator pollution - Google Patents

Prediction device for insulator pollution

Info

Publication number
JPH05274937A
JPH05274937A JP6826492A JP6826492A JPH05274937A JP H05274937 A JPH05274937 A JP H05274937A JP 6826492 A JP6826492 A JP 6826492A JP 6826492 A JP6826492 A JP 6826492A JP H05274937 A JPH05274937 A JP H05274937A
Authority
JP
Japan
Prior art keywords
insulator
amount
pollution
hours later
data
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
Application number
JP6826492A
Other languages
Japanese (ja)
Other versions
JP2724069B2 (en
Inventor
Yoshitada Kato
好忠 加藤
Katsunori Fujii
克典 藤井
Naotsuyo Okada
直剛 岡田
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NGK Insulators Ltd
Original Assignee
NGK Insulators Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by NGK Insulators Ltd filed Critical NGK Insulators Ltd
Priority to JP4068264A priority Critical patent/JP2724069B2/en
Publication of JPH05274937A publication Critical patent/JPH05274937A/en
Application granted granted Critical
Publication of JP2724069B2 publication Critical patent/JP2724069B2/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Classifications

    • 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
    • G01R31/12Testing 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
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1245Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of line insulators or spacers, e.g. ceramic overhead line cap insulators; of insulators in HV bushings

Abstract

PURPOSE:To provide an insulator pollution prediction device having the capability of accurately predicting an insulator pollution amount occurring up to a stage a few hours later due to a quick pollution cause such as a typhoon, when the cause is approaching. CONSTITUTION:When a quick pollution cause such as a typhoon is approaching, the predicted course thereof or the like is entered from an inputting device 7. Then, a processor 5 operates data related to a change with the elapse of time, for a wind direction and a wind velocity up to a stage a few hours later. Furthermore, the processor 5 operates an amount of wind run up to a stage a few hours later on the basis of the operated data, and predicts an insulator pollution amount occurring up to a stage a few hours later, according to a relational expression preliminarily stored. Data related to a change with the elapse of time for a wind direction and a wind velocity may directly be entered.

Description

【発明の詳細な説明】Detailed Description of the Invention

【0001】[0001]

【産業上の利用分野】本発明は、台風接近時や季節風到
来時のような碍子を急速汚損させる原因となる気象状態
が生じたときに、発電所、変電所、送配電線等の線路に
使用されている碍子の汚損の程度を予測し、碍子洗浄等
の保守対策を時期を失することなく行うための碍子汚損
予測装置に関するものである。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention is applied to lines such as power plants, substations and transmission / distribution lines when weather conditions such as typhoons approaching or seasonal winds causing a rapid pollution of insulators occur. The present invention relates to an insulator fouling predicting device for predicting the degree of fouling of used insulators and performing maintenance measures such as insulator cleaning without loss of time.

【0002】[0002]

【従来の技術】台風や強い季節風のような気象状態が生
じると、碍子表面が短時間に急速に汚損されて絶縁性が
低下し、閃絡事故の原因となる。このような事故を避け
るためには碍子汚損量が汚損管理限界値を越える前に碍
子類の清掃・洗浄を行う必要がある。そして特に台風襲
来の場合には、事前にその台風による碍子汚損量を予測
して、襲来前に碍子洗浄や人員配置等を行うことが好ま
しい。
2. Description of the Related Art When a weather condition such as a typhoon or a strong seasonal wind occurs, the insulator surface is rapidly soiled in a short time to deteriorate the insulation property, which causes a flashover accident. In order to avoid such an accident, it is necessary to clean and wash the insulators before the pollution amount of the insulator exceeds the pollution control limit value. In particular, in the case of a typhoon attack, it is preferable to predict the amount of insulator contamination due to the typhoon in advance and perform insulator cleaning, personnel allocation, etc. before the attack.

【0003】ところが従来の碍子汚損量の検出装置は、
碍子表面に付着した汚損物を水に溶解させてその電導度
を測定するものや、碍子表面の漏れ電流を測定して碍子
汚損量に換算するものであったため、測定した時点にお
ける碍子汚損量を知ることができるのみであって、将来
の汚損量を予測することは不可能である。
However, the conventional insulator contamination amount detecting device is
Since the contaminants adhering to the insulator surface were dissolved in water to measure its electrical conductivity, and the leakage current on the insulator surface was measured to convert it to the insulator contamination amount, the insulator contamination amount at the time of measurement was measured. It is only known, and it is not possible to predict future pollution levels.

【0004】このため、従来は過去の台風襲来時の経験
に基づいて汚損を予測し、多数の人員を配置したり、碍
子洗浄を連続的に実施する等の方法によって閃絡事故を
防止していた。しかし経験的な汚損予測は時として適切
な碍子洗浄のタイミングを逸する危険を擁しており、ま
た必要以上の人員を配置したり大量の洗浄水の確保を必
要とする等の問題を残していた。
Therefore, hitherto, a flashover accident is prevented by predicting the damage based on the experience of the past typhoon, arranging a large number of personnel, and continuously cleaning the insulator. It was However, the empirical fouling prediction sometimes poses a risk of missing the appropriate insulator cleaning timing, and also leaves problems such as allocating more people than necessary and securing a large amount of cleaning water. ..

【0005】[0005]

【発明が解決しようとする課題】本発明は上記した従来
の問題点を解消し、台風その他の急速汚損原因が接近し
てきたときに、それによる碍子汚損量を数時間後まで正
確に予測することができる碍子汚損予測装置を提供する
ために完成されたものである。
SUMMARY OF THE INVENTION The present invention solves the above-mentioned problems of the prior art, and when a typhoon or other cause of rapid fouling approaches, the amount of fouling due to the insulator can be accurately predicted until a few hours later. It was completed in order to provide an insulator pollution prediction device capable of

【0006】[0006]

【課題を解決するための手段】一般に、碍子に付着する
塩分量は平均風速に関係することは従来からよく知られ
ているが、汚損原因からの距離、風向、風速、汚損物の
運搬経路等によっても相違する。しかし同一環境下にお
いては、図1に示すように塩分付着密度と〔(平均風
速)n ×時間〕の値との間に相関性が認められ、またこ
のnの値を1〜3の範囲内で特定することができる。本
発明は上記の実験事実を基本としてなされたものであ
り、急速汚損原因の接近時にその予測進路と蓄積された
過去のデータに基づいて碍子設置位置における数時間後
までの風向・風速の経時データを入力あるいは演算する
手段と、このデータに基づいて数時間後までの風程量を
演算する手段と、予め入力されている実測から得られた
風程量と碍子汚損量との関係式から数時間後までの碍子
汚損量を予測する手段とを備えたことを特徴とするもの
である。
It is well known that the amount of salt attached to an insulator is generally related to the average wind speed, but the distance from the cause of pollution, the wind direction, the wind speed, the transportation route of the contaminant, etc. Also depends on. However, under the same environment, as shown in FIG. 1, there is a correlation between the salt attachment density and the value of [(average wind speed) n x time], and the value of n falls within the range of 1 to 3. Can be specified with. The present invention was made on the basis of the above experimental facts, and based on the predicted course and the past data accumulated when approaching the cause of rapid pollution, the wind direction and wind speed temporal data up to several hours later at the insulator installation position. From the relational expression between the flow amount obtained from the actual measurement and the insulator contamination amount, which is input in advance. And a means for predicting the amount of insulator fouling up to the end of time.

【0007】[0007]

【作用】本発明の装置により碍子汚損量を予測するに
は、例えば台風等の急速汚損原因の接近時に現在位置と
気象庁から発表される予測進路とを入力装置により入力
する。すると蓄積された過去のデータに基づいて数時間
後までの風向、風速の経時データが演算される。このデ
ータに基づいて数時間後までの風程量が演算され、さら
に予め入力されている実測から得られた風程量と碍子汚
損量との関係式から数時間後までの碍子汚損量が予測さ
れる。なお、この予測された碍子汚損量に基づいて、汚
損管理限界値に達する時刻を算出させることもできる。
更に上記のように数時間後までの風向、風速の経時デー
タを演算させるのではなく、数時間後までの風向、風速
の経時データを直接入力しても同様に碍子汚損量の予測
が可能である。
In order to predict the amount of insulator fouling by the device of the present invention, the current position and the predicted route announced by the Japan Meteorological Agency are input by the input device when the cause of rapid fouling such as a typhoon approaches. Then, based on the accumulated past data, temporal data of wind direction and wind speed up to several hours later are calculated. Based on this data, the air flow amount up to several hours later is calculated, and the insulator air pollution amount up to several hours later is predicted from the relational expression between the air flow amount and the insulator pollution amount obtained from the actual measurement that has been input in advance. To be done. The time at which the pollution control limit value is reached can be calculated based on the predicted amount of insulator pollution.
Furthermore, instead of calculating the wind direction and wind speed temporal data up to several hours later as described above, it is possible to predict the insulator contamination amount in the same way by directly inputting the wind direction and wind speed temporal data up to several hours later. is there.

【0008】[0008]

【実施例】以下に本発明を図2の実施例に基づいて詳細
に説明する。まず図2に示される本発明の装置の構成を
説明すると、1は従来から用いられている碍子汚損検出
装置、2は風向・風速計、3は雨量計、4は気象・汚損
データ入力装置、5は演算処理装置、6はデータベー
ス、7は入力装置、8は表示装置、9は記録装置であ
る。
The present invention will be described in detail below with reference to the embodiment shown in FIG. First, the structure of the device of the present invention shown in FIG. 2 will be described. 1 is an insulator pollution detection device that has been conventionally used, 2 is a wind direction and anemometer, 3 is a rain gauge, 4 is a weather and pollution data input device, Reference numeral 5 is an arithmetic processing device, 6 is a database, 7 is an input device, 8 is a display device, and 9 is a recording device.

【0009】台風等の急速汚損原因の接近時には、入力
装置7から気象庁から発表される現時点および数時間後
の台風の位置、大きさ、強さ等を入力する。演算処理装
置5は入力されたデータに基づき、データベース6に蓄
積された過去の実績データを基本として、風速の予想経
時データ群であるVmt(t) を算出する。演算処理装置5
はこのデータVmt(t) に基づいて、数時間後までの風程
量を演算する。ここで風程とは風速×時間を意味し、時
刻tにおける風程量Hmt(t) は次の式で演算できる。 風程量Hmt(t) =∫t mt(t)dt ・・・・・・・・・
When approaching the cause of rapid pollution such as a typhoon, the position, size, strength, etc. of the typhoon announced by the Japan Meteorological Agency and after several hours are input from the input device 7. Based on the input data, the arithmetic processing unit 5 calculates V mt (t), which is a predicted time-lapse data group of wind speed, based on the past record data accumulated in the database 6. Processor 5
Calculates the air flow rate up to several hours later based on this data V mt (t). Here, the air flow means wind speed × time, and the air flow amount H mt (t) at time t can be calculated by the following equation. Wind volume H mt (t) = ∫ t V mt (t) dt

【0010】また上記の風程量Hmt(t) と碍子汚損付着
密度の増加ESDDi の関係は上記したように実測によ
り関係が求められており、その関係は式で表現でき
る。 ESDDi =f〔風程量Hmt(t) 〕・・・・・・・・ そこで碍子汚損検出装置1によって現在T0の碍子汚損
付着密度ESDDt0を実測すれば、将来の任意の時刻T
Fにおける碍子汚損付着密度ESDDt f は式により
求められる。 ESDDt f =ESDDt0+f〔Hmt(TF−T0)〕
=ESDDt0+∫TFmt(t)dt ・・・・
The relationship between the air flow rate H mt (t) and the increase in the insulator fouling attachment density ESDD i is obtained by actual measurement as described above, and the relationship can be expressed by an equation. ESDD i = f [flow rate H mt (t)] ... Then, if the insulator fouling adhesion density ESDDt 0 of the present T0 is actually measured by the insulator fouling detection device 1, an arbitrary time T in the future can be obtained.
The insulator fouling attachment density ESDDt f at F is obtained by an equation. ESDDt f = ESDDt 0 + f [H mt (TF-T0)]
= ESDDt 0 + ∫ TF V mt (t) dt ...

【0011】このように演算処理装置5は任意の時刻T
Fにおける碍子汚損付着密度を予測することができる。
また発電所ごとに決定されている汚損管理限界値ESD
Sへの到達時刻は、ESDDS −ESDDt0に相当す
る汚損量を演算し、式から時間tを逆算することによ
って予測することができる。これらの予測結果は、例え
ばCRT等の表示装置8へ経過時間と汚損量の関係のト
レンドグラフやテーブルで表示される。またプリンタや
プロッタのような記録装置9へプリントアウトすること
もできる。
As described above, the arithmetic processing unit 5 is operated at an arbitrary time T
The insulator fouling attachment density at F can be predicted.
Also, the pollution control limit value ESD determined for each power plant
Time of arrival at the D S calculates fouling amount corresponding to ESDD S -ESDDt 0, it can be predicted by calculating back the time t from the equation. These prediction results are displayed on a display device 8 such as a CRT in a trend graph or a table of the relationship between the elapsed time and the stain amount. It is also possible to print out on a recording device 9 such as a printer or plotter.

【0012】なお、上記の説明では入力装置7から現時
点および数時間後の台風の位置、大きさ、強さ等を入力
するようにしたが、気象庁のオンラインサービスを利用
して手入力を省略することもできる。またこのようなデ
ータの代わりに、風速の予想データ群であるVmt(t) を
直接入力装置7から入力してもよい。
In the above description, the position, size, strength, etc. of the typhoon at the present time and several hours later are input from the input device 7, but manual input is omitted by using the online service of the Japan Meteorological Agency. You can also Further, instead of such data, V mt (t), which is a predicted data group of wind speed, may be directly input from the input device 7.

【0013】さらに風向・風速計2により収集されたリ
アルタイムのデータによって予測された風速の予想経時
データを補正したり、雨量計3によりリアルタイムのデ
ータを収集し、雨量強度・総雨量と碍子塩分付着密度の
雨洗効果との関係から、現時点における碍子塩分付着密
度を補正して予測の精度を向上させることも効果的であ
る。
Further, the predicted time-dependent data of the wind speed predicted by the real-time data collected by the wind direction and anemometer 2 is corrected, and the real-time data is collected by the rain gauge 3, and the rainfall intensity / total rainfall and porcelain salt deposition It is also effective to improve the accuracy of the prediction by correcting the porcelain salt attachment density at the present point in view of the relationship between the density and the rainwash effect.

【0014】[0014]

【発明の効果】以上に説明したように本発明の碍子汚損
予測装置によれば、特に台風のような急速汚損原因の接
近時に碍子汚損量を数時間後まで連続的に予測すること
ができる。このため、時期を失することなく碍子の洗浄
を行うことができ閃絡事故等による停電事故を防止でき
るうえ、必要最小限の人員を予め配置することも可能と
なる。よって本発明は新規な碍子汚損予測装置として、
産業の発展に寄与するところは極めて大きいものであ
る。
As described above, according to the insulator fouling predicting apparatus of the present invention, it is possible to predict the fouling amount of insulators continuously for several hours, especially when a cause of rapid fouling such as a typhoon approaches. For this reason, the insulator can be washed without loss of time, a power failure accident due to a flashover accident, etc. can be prevented, and a minimum number of necessary personnel can be pre-arranged. Therefore, the present invention, as a novel insulator pollution prediction device,
The contribution to industrial development is extremely large.

【図面の簡単な説明】[Brief description of drawings]

【図1】塩分付着密度と〔(平均風速)n ×時間〕の値
との関係を示すグラフである。
FIG. 1 is a graph showing a relationship between a salt attachment density and a value of [(average wind speed) n × time].

【図2】本発明の実施例を示すブロック図である。FIG. 2 is a block diagram showing an embodiment of the present invention.

【符号の説明】[Explanation of symbols]

1 碍子汚損検出装置 5 演算処理装置 7 入力装置 1 Insulator Contamination Detection Device 5 Arithmetic Processing Device 7 Input Device

Claims (1)

【特許請求の範囲】[Claims] 【請求項1】 急速汚損原因の接近時にその予測進路と
蓄積された過去のデータに基づいて碍子設置位置におけ
る数時間後までの風向・風速の経時データを入力あるい
は演算する手段と、このデータに基づいて数時間後まで
の風程量を演算する手段と、予め入力されている実測か
ら得られた風程量と碍子汚損量との関係式から数時間後
までの碍子汚損量を予測する手段とを備えたことを特徴
とする碍子汚損予測装置。
1. A means for inputting or calculating temporal data of wind direction and wind speed up to several hours later at an insulator installation position based on the predicted course and accumulated past data when approaching the cause of rapid pollution, and this data. Means to calculate the amount of air flow up to several hours based on the following, and means to predict the amount of air pollution up to several hours from the relational expression of the air flow amount and the amount of insulator fouling obtained from actual measurement that is input in advance An insulator fouling prediction device characterized by comprising:
JP4068264A 1992-03-26 1992-03-26 Insulator cleaning equipment Expired - Lifetime JP2724069B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP4068264A JP2724069B2 (en) 1992-03-26 1992-03-26 Insulator cleaning equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP4068264A JP2724069B2 (en) 1992-03-26 1992-03-26 Insulator cleaning equipment

Publications (2)

Publication Number Publication Date
JPH05274937A true JPH05274937A (en) 1993-10-22
JP2724069B2 JP2724069B2 (en) 1998-03-09

Family

ID=13368724

Family Applications (1)

Application Number Title Priority Date Filing Date
JP4068264A Expired - Lifetime JP2724069B2 (en) 1992-03-26 1992-03-26 Insulator cleaning equipment

Country Status (1)

Country Link
JP (1) JP2724069B2 (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008123805A (en) * 2006-11-10 2008-05-29 Chugoku Electric Power Co Inc:The Insulator pollution area prediction system, method, and program
CN105842107A (en) * 2016-03-17 2016-08-10 东南大学 Insulator surface accumulated dirt cleaning method
CN115144790A (en) * 2022-09-02 2022-10-04 山东理工大学 High-voltage insulator leakage current online monitoring system and method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5525443A (en) * 1978-08-11 1980-02-23 Kindai Kagaku Kogyo Kk Preparation of hydrocarbon resin emulsion
JPH0313689A (en) * 1989-06-09 1991-01-22 Kensetsusho Doboku Kensetsushiyochiyou Construction method for tunnel

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS5525443A (en) * 1978-08-11 1980-02-23 Kindai Kagaku Kogyo Kk Preparation of hydrocarbon resin emulsion
JPH0313689A (en) * 1989-06-09 1991-01-22 Kensetsusho Doboku Kensetsushiyochiyou Construction method for tunnel

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008123805A (en) * 2006-11-10 2008-05-29 Chugoku Electric Power Co Inc:The Insulator pollution area prediction system, method, and program
CN105842107A (en) * 2016-03-17 2016-08-10 东南大学 Insulator surface accumulated dirt cleaning method
CN115144790A (en) * 2022-09-02 2022-10-04 山东理工大学 High-voltage insulator leakage current online monitoring system and method
CN115144790B (en) * 2022-09-02 2022-11-18 山东理工大学 High-voltage insulator leakage current online monitoring system and method

Also Published As

Publication number Publication date
JP2724069B2 (en) 1998-03-09

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