AI制御された大規模分散型空調機群による電気料金型FastADRの不確実電力変動分析

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: 2022/09/01

タイトル(英語): An Analysis for Uncertainty Power Fluctuations of Dynamic Pricing Type FastADR by AI Controlled Large-scale Distributed Air-conditioners

著者名: 後藤　聡（岐阜大学），青木　佳史（岐阜大学），蜷川　忠三（岐阜大学），森川　純次（三菱重工サーマルシステムズ（株））

著者名(英語): Satoshi Goto (Gifu University), Yoshifumi Aoki (Gifu University), Chuzo Ninagawa (Gifu University), Junji Morikawa (Mitsubishi Heavy Industries Thermal Systems, Ltd.)

キーワード: ビルマルチ空調機，デマンドレスポンス，時間帯別料金，アグリゲーション_x000D_　　building multi-type air-conditioner，demand response，time of use pricing，aggregation

要約(英語): AI control for building multi-type air conditioners which adapt to dynamic pricing type FastADR has begun to be considered. In order to adjust supply and demand balance, the grid management system needs to know how AI-controlled air-conditioners respond to unit price fluctuations. In this paper, we clarify the power response distribution of AI-controlled air-conditioners to unit price fluctuations at 30 minute intervals. Large-scale experiments on real buildings are difficult to conduct, and reproducibility cannot be ensured. Therefore, we used an emulator that can simulate the diverse and uncertain minute-by-minute power consumption of building multi-type air-conditioners, and quantify the expected power reduction and uncertainty range based on the power response distribution of 100 diverse virtual buildings.

本誌: 電気学会論文誌B（電力・エネルギー部門誌） Vol.142 No.9 （2022）

本誌掲載ページ: 453-460 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/142/9/142_453/_article/-char/ja/