Highly-accurate short-term forecasting photovoltaic output power architecture without meteorological observations in smart grid

Jun Matsumoto, Daisuke Ishii, Satoru Okamoto, Eiji Oki, Naoaki Yamanaka

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We propose a forecasting architecture of near future photovoltaic output power based on the multipoint output power data via smart meter. The conventional forecasting methods are based on the analysis of meteorological observation data, and need the implementation of dedicated meters and the connection to them. Moreover, highly-accurate forecasting(in second-scale, or meter-scale) is difficult in the conventional methods. Our proposed method is based on not meteorological observation data but the actual measured output power data by using the solar panels connected with a smart meter as sensing units. A forecasting calculation server interpolate spatially the actual measured data collected from multipoint, and forecasts near future output power in each point using optical flow estimation. Virtual sampling technique involves the forecast performance when the sampling point is sparse. We show the forecasting method achieves high accuracy of less than 5% error rate by the computer simulation.

本文言語English
ホスト出版物のタイトルProceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011
ページ186-190
ページ数5
DOI
出版ステータスPublished - 2011 8 23
イベント2011 1st International Symposium on Access Spaces, ISAS 2011 - Yokohama, Japan
継続期間: 2011 6 172011 6 19

出版物シリーズ

名前Proceedings of 2011 1st International Symposium on Access Spaces, ISAS 2011

Other

Other2011 1st International Symposium on Access Spaces, ISAS 2011
国/地域Japan
CityYokohama
Period11/6/1711/6/19

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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