Hierarchical Residential Aggregation Method Incorporating Energy Demand Forecast

Akira Yoshida*, Toranosuke Saito, Takahiro Kashikawa, Koichi Kimura, Yoshiharu Amano

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The smart energy grid is expected to have a mechanism that demand-side and supply-side get managed onto the whole energy grid to balance. The research question is which energy management architecture is suitable to operate a large-scale energy system within a specific limited time step for computing and communicating. The previous work has proposed a hierarchical management method, which handles local status in the demand-side Energy Management System layer and global status in the aggregation layer. The hierarchical method appeals to scalable, robust, and privacy protection merits compared to a centralized method. The performance of hierarchical management, including demand forecast, is still an open question. This article shows on incorporating energy demand forecast into the hierarchical management method. The paper also evaluates the energy storage capacity needed to balance under the effect on forecast error of energy demand.

本文言語English
ホスト出版物のタイトルECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems
出版社ECOS 2021 Program Organizer
ページ1511-1521
ページ数11
ISBN(電子版)9781713843986
出版ステータスPublished - 2021
イベント34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2021 - Taormina, Sicily, Italy
継続期間: 2021 6月 282021 7月 2

出版物シリーズ

名前ECOS 2021 - 34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems

Conference

Conference34th International Conference on Efficency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2021
国/地域Italy
CityTaormina, Sicily
Period21/6/2821/7/2

ASJC Scopus subject areas

  • エネルギー(全般)
  • 工学(全般)
  • 環境科学(全般)

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