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| Presentation | 2023-05-12 17:20 Fault Location using Deep Learning for TDR Waveforms in Overhead Distribution Systems with Few Branches Tohlu Matsushima, Daiki Nagata, Yuki Fukumoto (Kyutech), Takashi Hisakado (Kyoto Univ), Uki Kanenari, Tsuyoshi Iinuma, Yusuke Nishihiro (Kansai Transmission and Distribution, Inc.), Shin Toguchi (DAIHEN Corporation)  EMCJ2023-11 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Equipment using the TDR method is being developed to accelerate detection of faults in overhead distribution systems. However, on a line with branches, the first reflected wave alone cannot be used to locate fault points. The accuracy of fault point detection is consequently reduced. Therefore, we analyzed TDR waveforms using deep learning and examined whether it would be possible to locate fault points using information that is difficult to identify, such as multiple reflections. Since it is difficult to obtain a large amount of measured TDR waveforms of faults, a fault point identification system was created by collecting and learning training data through circuit simulation using an equivalent circuit model. The accuracy was evaluated by inputting the TDR waveforms of actual accidents, and it was found that fault point detection was possible with an error of less than approximately 100 m. Furthermore, since the accuracy of the identification depends on the accuracy of the equivalent circuit model, the authors proposed a method to suppress over-learning by adding variability to the training data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | TDR method / distribution system / fault detection / deep learning / transmission line / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 20, EMCJ2023-11, pp. 25-30, May 2023. | |
| Paper # | EMCJ2023-11 | |
| Date of Issue | 2023-05-05 (EMCJ) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | EMCJ2023-11 |
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| Conference Information | |
| Committee | EMCJ IEE-EMC IEE-SPC |
| Conference Date | 2023-05-12 - 2023-05-12 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | EMC |
| Paper Information | |
| Registration To | EMCJ |
| Conference Code | 2023-05-EMCJ-EMC-SPC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Fault Location using Deep Learning for TDR Waveforms in Overhead Distribution Systems with Few Branches |
| Sub Title (in English) | |
| Keyword(1) | TDR method |
| Keyword(2) | distribution system |
| Keyword(3) | fault detection |
| Keyword(4) | deep learning |
| Keyword(5) | transmission line |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Tohlu Matsushima |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Daiki Nagata |
| 2nd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 3rd Author's Name | Yuki Fukumoto |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name | Takashi Hisakado |
| 4th Author's Affiliation | Kyoto University (Kyoto Univ) |
| 5th Author's Name | Uki Kanenari |
| 5th Author's Affiliation | Kansai Transmission and Distribution, Inc. (Kansai Transmission and Distribution, Inc.) |
| 6th Author's Name | Tsuyoshi Iinuma |
| 6th Author's Affiliation | Kansai Transmission and Distribution, Inc. (Kansai Transmission and Distribution, Inc.) |
| 7th Author's Name | Yusuke Nishihiro |
| 7th Author's Affiliation | Kansai Transmission and Distribution, Inc. (Kansai Transmission and Distribution, Inc.) |
| 8th Author's Name | Shin Toguchi |
| 8th Author's Affiliation | DAIHEN Corporation (DAIHEN Corporation) |
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| Speaker | Author-1 |
| Date Time | 2023-05-12 17:20:00 |
| Presentation Time | 25 minutes |
| Registration for | EMCJ |
| Paper # | EMCJ2023-11 |
| Volume (vol) | vol.123 |
| Number (no) | no.20 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2023-05-05 (EMCJ) |
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