長時間先日射量予測による大規模太陽光発電設備の最適運用計画

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: 2011/10/01

タイトル(英語): Optimal Planning Strategy for Large PV/Battery System Based on Long-Term Insolation Forecasting

著者名: 與那　篤史（琉球大学），内田　晃介（琉球大学），千住　智信（琉球大学），舟橋　俊久（(株) 明電舎）

著者名(英語): Atsushi Yona (University of the Ryukyus), Kosuke Uchida (University of the Ryukyus), Tomonobu Senjyu (University of the Ryukyus), Toshihisa Funabashi (Meidensha Corportion)

キーワード: 蓄電設備，太陽光発電設備，最適運用，ファジー・ニューラルネットワーク，予測誤差　　battery energy system，photovoltaic system，optimal planning，fuzzy/neural network，forecast errors

要約(英語): Photovoltaic (PV) systems are rapidly gaining acceptance as some of the best alternative energy sources. Usually the power output of PV system fluctuates depending on weather conditions. In order to control the fluctuating power output for PV system, it requires control method of energy storage system. This paper proposes an optimization approach to determine the operational planning of power output for PV system with battery energy storage system (BESS). This approach aims to obtain more benefit for electrical power selling and to smooth the fluctuating power output for PV system. The optimization method applies genetic algorithm (GA) considering PV power output forecast error. The forecast error is based on our previous works with the insolation forecasting at one day ahead by using weather reported data, fuzzy theory and neural network(NN). The validity of the proposed method is confirmed by the computer simulations.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.131 No.10 （2011） 特集：再生可能エネルギーの出力変動対応技術

本誌掲載ページ: 1665-1671 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/131/10/131_10_1665/_article/-char/ja/