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| Presentation | 2023-03-15 10:40 Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods Munetaka Noguchi (Osaka Prefecture Univ.), Yoshihiko Susuki (Kyoto Univ.), Atsushi Ishigame (Osaka Metropolitan Univ.)  MSS2022-64 NLP2022-109 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Recently, the so-called micro-Phasor Measurement Unit (μPMU) with high-resolution capability has been expected as a new data-driven technology for analysis and control of the future power distribution system. Time-series data derived by μPMU, which we call synchrophasor data in this report, are typically non-stationary and nonlinear due to the complex nature of the distribution grid. In this report, we analyze non-stationary time-series data on voltage-phase difference derived by multiple μPMUs for the campus distribution grid at Osaka Metropolitan University, Japan. The analysis is based on the so-called Short-Term Koopman Mode Decomposition (STKMD) that is developed to estimate spectra, precisely, eigenvalues of the Koopman operator for a nonlinear nonautonomous system (as a latent model of the dynamics of the distribution system). The STKMD applied to synchrophasor data is compared with the short-term Fourier transformation, which is another method of spectrum estimation from non-stationary time-series data. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Power grid / Synchrophasor measurement / Time-series data / Koopman mode decomposition / Nonautonomous dynamical system / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 436, NLP2022-109, pp. 11-16, March 2023. | |
| Paper # | NLP2022-109 | |
| Date of Issue | 2023-03-08 (MSS, NLP) | |
| 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 | MSS2022-64 NLP2022-109 |
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| Conference Information | |
| Committee | NLP MSS |
| Conference Date | 2023-03-15 - 2023-03-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2023-03-NLP-MSS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spectral analysis of synchropahsor data in a campus distribution grid: Comparison of numerical methods |
| Sub Title (in English) | |
| Keyword(1) | Power grid |
| Keyword(2) | Synchrophasor measurement |
| Keyword(3) | Time-series data |
| Keyword(4) | Koopman mode decomposition |
| Keyword(5) | Nonautonomous dynamical system |
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| 1st Author's Name | Munetaka Noguchi |
| 1st Author's Affiliation | Osaka Prefecture University (Osaka Prefecture Univ.) |
| 2nd Author's Name | Yoshihiko Susuki |
| 2nd Author's Affiliation | Kyoto University (Kyoto Univ.) |
| 3rd Author's Name | Atsushi Ishigame |
| 3rd Author's Affiliation | Osaka Metropolitan University (Osaka Metropolitan Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-15 10:40:00 |
| Presentation Time | 20 minutes |
| Registration for | NLP |
| Paper # | MSS2022-64, NLP2022-109 |
| Volume (vol) | vol.122 |
| Number (no) | no.435(MSS), no.436(NLP) |
| Page | pp.11-16 |
| #Pages | 6 |
| Date of Issue | 2023-03-08 (MSS, NLP) |
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