PVが導入された小・中規模の電力需要に対するタグチのT法を用いたネット需要予測

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2017/08/01

タイトル(英語): Net Demand Forecasting by Taguchi's T Method in Small or Middle Power Demand with PVs

著者名: 森本　裕介（大阪府立大学大学院工学研究科），根岸　信太郎（大阪府立大学大学院工学研究科），高山　聡志（大阪府立大学大学院工学研究科），石亀　篤司（大阪府立大学大学院工学研究科）

著者名(英語): Yusuke Morimoto (Graduated School of Engineering Osaka Prefecture University), Shintaro Negishi (Graduated School of Engineering Osaka Prefecture University), Satoshi Takayama (Graduated School of Engineering Osaka Prefecture University), Atsushi Ishigame (Graduated School of Engineering Osaka Prefecture University)

キーワード: ネット需要予測，再生可能エネルギー，MTシステム，タグチのT法　　Net Demand Forecasting，Renewable energy，MT system，Taguchi's T method

要約(英語): Recently, a large amount of Photovoltaic Generations (PV) are installed into a power system in large quantities. Therefore electric power suppliers must forecast the net demand profile that excluded quantity of PV generation from demand load. In this paper, a new technique of net demand forecasting is proposed. At first, we propose using Taguchi's T method (T method) that is one of the multivariate analysis techniques for net demand forecasting. Moreover, we propose data-select T method as improvement of T method for using net demand forecasting with less data. Furthermore, we examine the net demand forecasting technique, which is based on data in the last month on a forecasting day, by T method and data-select T method. In addition, the effectiveness of the proposed method by comparing the multiple regression analysis is discussed.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.137 No.8 （2017） 特集：システム技術によるエネルギーの効率活用

本誌掲載ページ: 1043-1051 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/137/8/137_1043/_article/-char/ja/