畳み込み積分による創蓄エネルギー設備を有するビルの平常時・災害時コストの高速計算

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2023/03/01

タイトル(英語): High Speed Calculation Method Using Convolution for Calculating Normal and Disaster Costs of Buildings with Energy Generation and Storage Facilities

著者名: 木下　創太（東京理科大学），山口　順之（東京理科大学），木村　雄太（東京理科大学），佐藤　冬樹（三菱電機（株）情報技術総合研究所），大谷　晋一郎（三菱電機（株）情報技術総合研究所）

著者名(英語): Sota Kinoshita (Tokyo University of Science), Nobuyuki Yamaguchi (Tokyo University of Science), Yuta Kimura (Tokyo University of Science), Fuyuki Sato (Information Technology R&D Center, Mitsubishi Electric Corporation), Shinichiro Otani (Information Technology R&D Center, Mitsubishi Electric Corporation)

キーワード: 太陽光発電，蓄電池，レジリエンス，混合整数線形計画，モンテカルロシミュレーション_x000D_　　photovoltaic power generation，storage battery，resilience，mixed integer linear programming，monte carlo simulation

要約(英語): In recent years, resilience-enhanced building buildings have been attracting increasing attention, in which photovoltaic (PV) power generation and storage batteries are installed in office buildings to continue operations even during a grid outage. PV power generation and storage batteries can be introduced to office buildings to continue commercial operations in the case of grid outages. When introducing PV power generation and storage batteries into a building, the total cost, which is the sum of the equipment installation cost and the damage cost in the event of a disaster, is crucial. When installing PV power generation and storage batteries in a building and calculating the total cost of using these facilities in the event of a disaster, it is necessary to consider the uncertainty of power demand and the amount of power generated by PV power generation. Monte Carlo Simulation is a method to consider uncertainty. However, it has a problem that the combination of conditions becomes enormous, and the calculation load is high when the total cost is calculated. Therefore, in this study, we propose convolution as a method to reduce the computational load generated when calculating the probability distribution of the total cost generated by strengthening the resilience of the building.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.143 No.3 （2023） 特集：半導体電力変換研究会

本誌掲載ページ: 205-218 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/ieejias/143/3/143_205/_article/-char/ja/