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

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
出版ステータスPublished - 2019 6
イベント46th IEEE Photovoltaic Specialists Conference, PVSC 2019 - Chicago, United States
継続期間: 2019 6 162019 6 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

Conference46th IEEE Photovoltaic Specialists Conference, PVSC 2019
国/地域United States
CityChicago
Period19/6/1619/6/21

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

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