Study for Estimating Method of Branch Point Up to Ground Faults Location using Switch with Built-in Sensor in Distribution Line
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- Kodama Yasuhiro
- Distribution Technology Group R&D Center, TEPCO
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- Watanabe Masato
- Distribution Technology Group R&D Center, TEPCO
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- Sano Tsuneyo
- Distribution Technology Group R&D Center, TEPCO
Bibliographic Information
- Other Title
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- 配電線でのセンサ開閉器を用いた地絡点に至る分岐点推定の検討
- ハイデンセン デ ノ センサ カイヘイキ オ モチイタ チラクテン ニ イタル ブンキテン スイテイ ノ ケントウ
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Abstract
Ground fault location in distribution line is specified the restricted area by sequential fault detection system. Then, ground fault location is identified by detecting magnetic field originated discharge current from direct pulse device on electric pole. It needs much time to identify ground fault location due to involving works on electric pole. Recently, introducing switch with built-in sensor (ITSW) is considered on the purpose of efficient operation against amount of diffusion of Photovoltaic Power Generation Systems Source. For the purpose of introducing IT switch, ground fault location detecting method is studied by IT switch. As one of the means, it is studied the shortening of ground fault location detecting hours. For example, ground fault location is identified by the difference in arrival time of ground faults surge current from different measuring points, classification of characteristics from wave form in ground fault current, and so on. In this paper, we propose that it is estimated the brunch point from the high frequency component by measuring the wave form of ground fault current in transient state of both feeding direction and terminal point, and is verified by ATP simulation to check the validity of proposed method. In addition, we study the improvement of proposed method precision.
Journal
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- IEEJ Transactions on Power and Energy
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IEEJ Transactions on Power and Energy 135 (5), 322-328, 2015
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679580045568
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- NII Article ID
- 130005068025
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- NII Book ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL BIB ID
- 026424040
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed