リコース付き確率混合整数計画法によるスマートハウスの運用最適化

カテゴリ: 論文誌(論文単位)

グループ名: 【B】電力・エネルギー部門

発行日: 2011/11/01

タイトル(英語): A Two-Stage Stochastic Mixed-Integer Programming Approach to the Smart House Scheduling Problem

著者名: 尾添　俊介（京都大学大学院 情報学研究科 数理工学専攻），田中　洋一（東邦ガス（株）商品開発部 技術グループ），福島　雅夫（京都大学大学院 情報学研究科 数理工学専攻）

著者名(英語): Shunsuke Ozoe (Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University), Yoichi Tanaka (Technical Group, Product Development Department, Toho Gas Co., Ltd.), Masao Fukushima (Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University)

キーワード: スマートハウス，最適運用，確率計画法，償還請求　　smart house，optimal scheduling，stochastic programming，recourse cost

要約(英語): A "Smart House" is a highly energy-optimized house equipped with photovoltaic systems (PV systems), electric battery systems, fuel cell cogeneration systems (FC systems), electric vehicles (EVs) and so on. Smart houses are attracting much attention recently thanks to their enhanced ability to save energy by making full use of renewable energy and by achieving power grid stability despite an increased power draw for installed PV systems. Yet running a smart house's power system, with its multiple power sources and power storages, is no simple task. In this paper, we consider the problem of power scheduling for a smart house with a PV system, an FC system and an EV. We formulate the problem as a mixed integer programming problem, and then extend it to a stochastic programming problem involving recourse costs to cope with uncertain electricity demand, heat demand and PV power generation. Using our method, we seek to achieve the optimal power schedule running at the minimum expected operation cost. We present some results of numerical experiments with data on real-life demands and PV power generation to show the effectiveness of our method.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.131 No.11 （2011）

本誌掲載ページ: 885-895 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/ieejpes/131/11/131_11_885/_article/-char/ja/