Optimal Scheduling of Energy Storage System for Peak Reduction Using a Prediction Interval

カテゴリ: 全国大会

論文No: 270-271

グループ名: 【全国大会】平成31年電気学会全国大会論文集

発行日: 2019/03/01

タイトル(英語): Optimal Scheduling of Energy Storage System for Peak Reduction Using a Prediction Interval

著者名: Daisuke Kodaira(Kyungpook National University),Sekyung Han(Kyungpook National University)

著者名(英語): Daisuke Kodaira,Sekyung Han

キーワード: 配電系統,確率的需要予測

要約(日本語): This study is aimed at determining the optimal energy storage system (ESS) operation schedule to minimize the peak load on the feeder of a distribution network. To reduce the peak load, the feeder load needs to be predicted. However, a deterministic prediction is not reliable because it may contain errors. This study proposes the use of the prediction interval (PI) of the error estimated based on prior predictions. An algorithm is used to determine the optimal ESS schedule using the PI. To demonstrate the method’s validity, a case study is presented, where the proposed optimal ESS schedule determined based on PI reduces the peak load during network operations over a one-year period.

本誌掲載ページ: 6-165 p

原稿種別: 英語