Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output

Akito Kawanobe; Shinji Wakao; Tomoya Taima; Norihiro Kanno; Hiroyuki Mabuchi

doi:10.1109/PVSC40753.2019.8980571

Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output

Akito Kawanobe, Shinji Wakao, Tomoya Taima, Norihiro Kanno, Hiroyuki Mabuchi

先進理工学部

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In Japan, self-consumption of PV output will increase after the Feed-in tariff program will be over. Thus, the apparent demand curve of the entire distribution system will be more complicate. With the above background, this paper proposes the prediction method of apparent demand by combining representative waveforms of actual power demand and PV output derived from cluster analysis. Some numerical examples, which demonstrate the validity of the proposed method, are also presented.

本文言語	English
ホスト出版物のタイトル	2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	2121-2125
ページ数	5
ISBN（電子版）	9781728104942
DOI	https://doi.org/10.1109/PVSC40753.2019.8980571
出版ステータス	Published - 2019 6月
イベント	46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States 継続期間: 2019 6月 16 → 2019 6月 21

出版物シリーズ

名前	Conference Record of the IEEE Photovoltaic Specialists Conference
ISSN（印刷版）	0160-8371

Conference

Conference	46th IEEE Photovoltaic Specialists Conference, PVSC 2019
国/地域	United States
City	Chicago
Period	19/6/16 → 19/6/21

ASJC Scopus subject areas

制御およびシステム工学
産業および生産工学
電子工学および電気工学

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1109/PVSC40753.2019.8980571

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引用スタイル

Kawanobe, A., Wakao, S., Taima, T., Kanno, N., & Mabuchi, H. (2019). Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. In 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019 (pp. 2121-2125). Article 8980571 (Conference Record of the IEEE Photovoltaic Specialists Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC40753.2019.8980571

Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. / Kawanobe, Akito; Wakao, Shinji; Taima, Tomoya その他.
2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2121-2125 8980571 (Conference Record of the IEEE Photovoltaic Specialists Conference).

研究成果: Conference contribution

Kawanobe, A, Wakao, S, Taima, T, Kanno, N & Mabuchi, H 2019, Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. in 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019., 8980571, Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers Inc., pp. 2121-2125, 46th IEEE Photovoltaic Specialists Conference, PVSC 2019, Chicago, United States, 19/6/16. https://doi.org/10.1109/PVSC40753.2019.8980571

Kawanobe A, Wakao S, Taima T, Kanno N, Mabuchi H. Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. In 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2121-2125. 8980571. (Conference Record of the IEEE Photovoltaic Specialists Conference). doi: 10.1109/PVSC40753.2019.8980571

Kawanobe, Akito ; Wakao, Shinji ; Taima, Tomoya その他. / Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output. 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 2121-2125 (Conference Record of the IEEE Photovoltaic Specialists Conference).

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abstract = "In Japan, self-consumption of PV output will increase after the Feed-in tariff program will be over. Thus, the apparent demand curve of the entire distribution system will be more complicate. With the above background, this paper proposes the prediction method of apparent demand by combining representative waveforms of actual power demand and PV output derived from cluster analysis. Some numerical examples, which demonstrate the validity of the proposed method, are also presented.",

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Prediction of Representative Waveform of Surplus PV Power Based on Cluster Analysis of Power Demand and PV Output

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

UN SDG

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