Optimization of local microgrid model for energy sharing considering daily variations in supply and demand

Daisuke Murakami, Yoshiki Yamagata, Takahiro Yoshida, Tomoko Matsui

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

This study develops an approach for optimizing the size/scale of microgrids used in electricity sharing around each residence by considering the uncertainty between the electricity supply from photovoltaics and electricity demand. Uncertainties are quantified using simulations that consider actual daily variations in supply and demand. The developed approach is applied to microgrid optimization in Sumida-ku, Tokyo, Japan, and results suggests that large-scale microgrids are required in central districts but small microgrids are sufficient in old residential areas. Results also show the statistically significant effect of optimizing microgrids to enhance energy self-sufficiency.

Original languageEnglish
Pages (from-to)4109-4114
Number of pages6
JournalEnergy Procedia
Volume158
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China
Duration: 2018 Aug 222018 Aug 25

Keywords

  • Energy shring
  • Microgrids
  • Opimization
  • Uncertainty

ASJC Scopus subject areas

  • Energy(all)

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