Electricity Self-Sufficient Community Clustering for Energy Resilience

DOI Web Site 被引用文献2件 参考文献26件 オープンアクセス
  • Yoshiki Yamagata
    Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan
  • Daisuke Murakami
    Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan
  • Kazuhiro Minami
    Department of Statistical Modeling, Institute of Statistical Mathematics, Tachikawa, Tokyo 190-8562, Japan
  • Nana Arizumi
    Center for Semiconductor Research and Development, Toshiba Corporation, Kawasaki, Kanagawa 212-8520, Japan
  • Sho Kuroda
    Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan
  • Tomoya Tanjo
    Center for Cloud Research and Development, National Institute of Informatics, Chiyoda, Tokyo 100-0003, Japan
  • Hiroshi Maruyama
    Chief Strategy Officer, Preferred Networks, Inc., Chiyoda, Tokyo 100-0004, Japan

書誌事項

公開日
2016-07-14
資源種別
journal article
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/en9070543
公開者
MDPI AG

説明

<jats:p>Local electricity generation and sharing has been given considerable attention recently for its disaster resilience and other reasons. However, the process of designing local sharing communities (or local grids) is still unclear. Thus, this study empirically compares algorithms for electricity sharing community clustering in terms of self-sufficiency, sharing cost, and stability. The comparison is performed for all 12 months of a typical year in Yokohama, Japan. The analysis results indicate that, while each individual algorithm has some advantages, an exhaustive algorithm provides clusters that are highly self-sufficient. The exhaustive algorithm further demonstrates that a clustering result optimized for one month is available across many months without losing self-sufficiency. In fact, the clusters achieve complete self-sufficiency for five months in spring and autumn, when electricity demands are lower.</jats:p>

収録刊行物

  • Energies

    Energies 9 (7), 543-, 2016-07-14

    MDPI AG

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