JP2010213400A - Device for determining cause of grounding fault in power system in premises of customer - Google Patents
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- 238000007418 data mining Methods 0.000 claims abstract description 7
- 238000003066 decision tree Methods 0.000 claims abstract description 5
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- 230000010365 information processing Effects 0.000 abstract description 3
- 238000005070 sampling Methods 0.000 abstract description 2
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- 238000012790 confirmation Methods 0.000 description 1
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Abstract
【課題】地絡事故波形信号を離散化し情報処理することにより原因を特定する。
【解決手段】事故波形の入力部分に波形検出可能な周波数特性を備えたセンサーを適用し，振幅や周波数特性，また位相並びに時間特性情報から計算機を用いて信号処理を行い，短時間に地絡事故原因を特定する手法である。
数学的処理としては，従来のフーリエ変換に加え，Z変換により時間離散信号変換を行う。その信号は，トランザクションデータ（データ処理可能な形）に置き換えられデータマイニング手法（大量のデータを解析し，相関関係やパターンを探る手法）を用いて決定木により原因判定処理を行う。
また，事故時の地絡電圧，地絡電流波形においては，事故波形の周波数帯域を検知するセンサーを用いることにより，エイリアシング（サンプリング定理を満たさないために実在しない波形が現れる現象）の問題を解決でき，地絡事故原因の短時間判定並びにその精度を大幅に向上できる。
【選択図】図１A cause is identified by discretizing a ground fault accident waveform signal and performing information processing.
SOLUTION: A sensor having a frequency characteristic capable of detecting a waveform is applied to an input portion of an accident waveform, and signal processing is performed using a computer from amplitude, frequency characteristic, phase and time characteristic information, and a ground fault occurs in a short time. This is a method to identify the cause of the accident.
As mathematical processing, in addition to the conventional Fourier transform, time-discrete signal transform is performed by Z transform. The signal is replaced with transaction data (in a form that allows data processing), and cause determination processing is performed by a decision tree using a data mining technique (a technique for analyzing a large amount of data and searching for correlations and patterns).
In addition, in the ground fault voltage and ground fault current waveform at the time of the accident, the problem of aliasing (a phenomenon in which a non-existent waveform appears because the sampling theorem is not satisfied) is solved by using a sensor that detects the frequency band of the accident waveform. This makes it possible to determine the cause of a ground fault accident in a short time and greatly improve its accuracy.
[Selection] Figure 1
Description
本発明は，従来の地絡保護継電器に簡易な機能を加えることにより地絡事故判定が可能となる装置に関するものである。 The present invention relates to a device capable of determining a ground fault by adding a simple function to a conventional ground fault protection relay.
電力系統における地絡事故は多種多様な原因が存在するが，その多くは自家用で機構作物の需要家構内で発生する地絡事故である。需要家構内の電力系統総延長は一般に長い距離となるが，事故原因箇所の特定は系統の目視点検による確認作業を行い，原因発生箇所を見つける方法が通例であった。
同時に，地絡事故の規模によっては広い範囲の停電に至る可能性もある。電力エネルギーはライフラインとなっており，事故を早急に復旧させることが求められているが，広範囲の系統を調査し地絡事故原因を特定するには時間がかかっていた。更には，小動物の充電部による接触が原因である場合，事故を誘発した小動物が事故発生場所にとどまらない場合もあり，事故原因の特定は困難なことが多い。
There are various causes of ground faults in the power system, but most of them are ground faults that occur on the customer's premises for mechanical crops. The total length of the power grid on the customer premises is generally long, but the usual way to identify the cause of the accident is to perform a visual inspection of the system and find the cause.
At the same time, depending on the scale of the ground fault, there is a possibility of a wide range of power outages. Electric power energy is a lifeline, and it is required to quickly recover from the accident. However, it took time to investigate a wide range of systems and identify the cause of the ground fault. Furthermore, if the contact is caused by a live part of a small animal, it may be difficult to identify the cause of the accident because the small animal that caused the accident may not stop at the location where the accident occurred.
需要家構内において，その電源は電力会社からの受電場所より引き込まれ，受電点から分岐し構内配電されているので，地絡事故の発生原因により，受電点での地絡電圧や地絡電流波形の性質が異なると考えることができる。
これは，オームの法則で証明される通り，地絡事故原因となる要因を構成する物体のインピーダンスの違いにより，地絡事故時の地絡電圧や地絡電流は変化し，その地絡電圧波形や地絡電流波形（以下，波形）も一定とはならないことは周知である。
In the customer premises, the power source is drawn from the power receiving location from the power company, branched from the power receiving point, and distributed on the premises, so that the ground fault voltage and ground fault current waveform at the power receiving point due to the cause of the ground fault Can be considered different in nature.
This is because, as proved by Ohm's law, the ground fault voltage and ground fault current at the time of the ground fault change due to the difference in impedance of the objects that make up the cause of the ground fault. It is well known that the ground fault current waveform (hereinafter, waveform) is not constant.
現状，地絡事故が起こった場合，その地絡電圧，あるいは地絡電流の振幅のみで電路を遮断し事故の影響を最小限に防ぐ装置は存在している。
しかし，原因の判定には至っていない。事故原因判定の為には，更なる情報処理技術が必要となる。更に，従来の商用周波数帯域の電圧，電流センサーでは，波形のエイリアシング現象（サンプリング定理を満たさないために実在しない波形が現れる現象）による誤った波形を前提とした処理がなされる場合もあった。
Currently, when a ground fault occurs, there is a device that cuts off the electric circuit only by the ground fault voltage or the amplitude of the ground fault current and prevents the influence of the fault to a minimum.
However, the cause has not been determined. Additional information processing technology is required to determine the cause of the accident. Furthermore, conventional voltage and current sensors in the commercial frequency band may be processed on the premise of an erroneous waveform due to waveform aliasing phenomenon (a phenomenon in which a nonexistent waveform appears because the sampling theorem is not satisfied).
そこで，事故波形の入力部分に波形検出可能な周波数特性を備えたセンサーを適用し，振幅や周波数特性，また位相並びに時間特性情報から計算機を用いて信号処理を行い，地絡事故原因を特定する。
数学的処理としては，従来のフーリエ変換に加え，Z変換により時間離散信号変換を行う。その信号は，トランザクションデータ（データ処理可能な形）に置き換えられデータマイニング手法（大量のデータを解析し，相関関係やパターンを探る手法）を用いて決定木により原因判定処理を行う。
また，事故時の地絡電圧，地絡電流波形においては，事故波形の周波数帯域を検知するセンサーを用いることにより，エイリアシングの問題を解決でき，地絡事故原因の判定精度を大幅に向上できる。
Therefore, a sensor with a frequency characteristic that can detect the waveform is applied to the input part of the accident waveform, and signal processing is performed using a computer from the amplitude, frequency characteristic, phase, and time characteristic information to identify the cause of the ground fault. .
As mathematical processing, in addition to the conventional Fourier transform, time-discrete signal transform is performed by Z transform. The signal is replaced with transaction data (in a form that allows data processing), and cause determination processing is performed by a decision tree using a data mining technique (a technique for analyzing a large amount of data and searching for correlations and patterns).
In addition, in the ground fault voltage and ground fault current waveform at the time of an accident, the use of a sensor that detects the frequency band of the accident waveform can solve the aliasing problem and greatly improve the accuracy of determining the cause of the ground fault.
解決しようとする問題は，需要家構内の電力系統における地絡事故の原因特定ができない点である。 The problem to be solved is that the cause of the ground fault in the power system on the customer premises cannot be identified.
本発明は，零相電圧と零相電流の波形を事故原因別に情報化し，データマイニングにより決定木を用いて地絡事故原因判定を可能とした。 In the present invention, the waveforms of the zero-phase voltage and the zero-phase current are converted into information according to the cause of the accident, and the cause of the ground fault can be determined using the decision tree by data mining.
本発明の地絡事故原因判定装置が設置された電力系統で地絡事故が発生すれば，原因特定が容易に可能となり，電源復旧は短時間で実現できる。
また，零相電圧，零相電流の移行進展を把握することにより，事前に地絡事故の兆候を判断する要素も兼ね備えることとなり，大きな予防保全に寄与できる。
If a ground fault occurs in the power system in which the ground fault cause determination device of the present invention is installed, the cause can be easily identified and the power supply can be restored in a short time.
In addition, by grasping the transition progress of the zero-phase voltage and zero-phase current, it also has an element to judge the sign of a ground fault in advance, which can contribute to large preventive maintenance.
従来の零相電圧，零相電流の振幅を取り込む商用周波数帯域のセンサー部分を事故波形が再現できる程度の周波数帯域のセンサーに変更し，情報処理を加えることにより実現できる。 This can be realized by changing the conventional commercial frequency band sensor that captures the amplitude of the zero-phase voltage and zero-phase current to a sensor with a frequency band that can reproduce the accident waveform, and adding information processing.
図１の実施例は，高電圧回路における地絡波形取込回路図である。電力系統側１に，電流検出センサー２を配し，需要家構内側３に電圧検出センサー４を配してある。
The embodiment of FIG. 1 is a ground fault waveform capturing circuit diagram in a high voltage circuit. A
本発明装置の信号入力部分は，一般に使用されている図１の波形取込回路に加え，20kHz程度の周波数特性を備えた電流検出センサー２を用いることにより実現できる仕様である。
The signal input portion of the device of the present invention has a specification that can be realized by using a
図２は信号処理フローをブロック図に示したものである。事故波形信号は入力部分５経由し信号処理部６を経由し，さらにトランザクションデータ７として処理され，その後データマイニング分析８によって照合がなされ地絡事故原因の出力９を得るように仕組んでいる。
FIG. 2 is a block diagram showing a signal processing flow. The accident waveform signal is processed as
すなわち入力部分５から取り込まれたこれらの事故波形信号は，離散化処理されフーリエ変換などの数学的手法を用いトランザクションデータ７として分類される。それらのデータはデータマイニング手法８を用いることにより過去のデータから決定木によって原因を判定できる。
That is, these accident waveform signals fetched from the
図３の実施例は低電圧回路における地絡波形取込回路図である。電源側１０から入力された電流を電流検出センサー１１で捕らえ，トランス二次側の需要設備側１２に出力するように仕組んでいる。
The embodiment of FIG. 3 is a ground fault waveform capturing circuit diagram in a low voltage circuit. The
電流検出部分については，実施例１同様，本発明装置の信号入力部分を20kHz程度の周波数特性が備えられている電流検出センサー１１に変更することにより実現できる仕様である。
The current detection part has a specification that can be realized by changing the signal input part of the device of the present invention to the
電力系統の地絡事故原因特定は目視確認による以外の方法としては，困難を極めていたが，本発明の装置を設置することにより，高い精度で原因を判定でき，需要家構内の電力系統における予防保全に寄与できる。 The identification of the cause of ground faults in the power system was extremely difficult as a method other than by visual confirmation, but by installing the device of the present invention, the cause can be determined with high accuracy and prevention in the power system on the customer premises. Contribute to conservation.
１ 電力系統側
２ 電流検出センサー
３ 需要家構内側
４ 電圧検出センサー
５ 事故波形信号入力部分
６ 信号処理部分
７ トランザクションデータ
８ データマイニング
９ 地絡事故原因出力
１０ 電源側
１１ 電流検出センサー
１２ 需要設備側
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| JP2009054691A JP2010213400A (en) | 2009-03-09 | 2009-03-09 | Device for determining cause of grounding fault in power system in premises of customer |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018125912A (en) * | 2017-01-30 | 2018-08-09 | 学校法人鶴学園 | Ground fault factor determination device |
| WO2023176039A1 (en) * | 2022-03-17 | 2023-09-21 | 三菱電機株式会社 | Equipment diagnostic device and equipment diagnostic system |
| CN119147874A (en) * | 2024-11-14 | 2024-12-17 | 南通康比电子有限公司 | Signal fault detection method of single-phase rectifier |
-
2009
- 2009-03-09 JP JP2009054691A patent/JP2010213400A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018125912A (en) * | 2017-01-30 | 2018-08-09 | 学校法人鶴学園 | Ground fault factor determination device |
| WO2023176039A1 (en) * | 2022-03-17 | 2023-09-21 | 三菱電機株式会社 | Equipment diagnostic device and equipment diagnostic system |
| JPWO2023176039A1 (en) * | 2022-03-17 | 2023-09-21 | ||
| JP7580658B2 (en) | 2022-03-17 | 2024-11-11 | 三菱電機株式会社 | Equipment diagnostic device and equipment diagnostic system |
| CN119147874A (en) * | 2024-11-14 | 2024-12-17 | 南通康比电子有限公司 | Signal fault detection method of single-phase rectifier |
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