| Presentation | 2021-06-11 A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression Munetaka Noguchi, Yoshihiko Susuki, Atsushi Ishigame, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Due to recent penetration of distributed energy resources, dynamics of power distribution systems have been complicated in terms of analysis and control, and thus the so-called micro Phasor Measurement Unit (PMU) with high-resolution capability has been researched. In this report, we propose to use the so-called Gaussian Process Regression (GPR) for prediction of PMU time-series data on distribution voltage and demonstrate it using measurement data from the in-campus distribution network in Nakamozu Campus, Osaka Prefecture University, Japan. Also, the GPR-based prediction is discussed in terms of learning of actions of the Koopman operator for nonlinear dynamical systems to Gaussian Processes (that is, Gaussian random variables). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Distribution voltage / Synchrophasor / Time-series data / Prediction / Gaussian process regression / Koopman operator |
| Paper # | NLP2021-3,CCS2021-3 |
| Date of Issue | 2021-06-04 (NLP, CCS) |
| Conference Information | |
| Committee | NLP / CCS |
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| Conference Date | 2021/6/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Takuji Kousaka(Chukyo Univ.) / Tetsuya Asai(Hokkaido Univ.) |
| Vice Chair | Akio Tsuneda(Kumamoto Univ.) / Megumi Akai(Hokkaido Univ.) / Masaki Aida(Tokyo Metropolitan Univ.) |
| Secretary | Akio Tsuneda(Kagawa Univ.) / Megumi Akai(Sojo Univ.) / Masaki Aida(TDK) |
| Assistant | Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) / Sumiko Miyata(Shibaura Inst. Tech.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Kobe Univ.) / Hidehiro Nakano(Tokyo City Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Nonlinear Problems / Technical Committee on Complex Communication Sciences |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Prediction of Synchrophasor Time-Series Data of In-Campus Distribution Voltage Using Gaussian Process Regression |
| Sub Title (in English) | |
| Keyword(1) | Distribution voltage |
| Keyword(2) | Synchrophasor |
| Keyword(3) | Time-series data |
| Keyword(4) | Prediction |
| Keyword(5) | Gaussian process regression |
| Keyword(6) | Koopman operator |
| 1st Author's Name | Munetaka Noguchi |
| 1st Author's Affiliation | Osaka Pref Univ.(Osaka Pref Univ.) |
| 2nd Author's Name | Yoshihiko Susuki |
| 2nd Author's Affiliation | Osaka Pref Univ./JST-PRESTO(Osaka Pref Univ./JST) |
| 3rd Author's Name | Atsushi Ishigame |
| 3rd Author's Affiliation | Osaka Pref Univ.(Osaka Pref Univ.) |
| Date | 2021-06-11 |
| Paper # | NLP2021-3,CCS2021-3 |
| Volume (vol) | vol.121 |
| Number (no) | NLP-61,CCS-62 |
| Page | pp.pp.10-13(NLP), pp.10-13(CCS), |
| #Pages | 4 |
| Date of Issue | 2021-06-04 (NLP, CCS) |