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

Daisuke Murakami; Yoshiki Yamagata; Takahiro Yoshida; Tomoko Matsui

doi:10.1016/j.egypro.2019.01.823

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 journal › Conference article › peer-review

9 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 language	English
Pages (from-to)	4109-4114
Number of pages	6
Journal	Energy Procedia
Volume	158
DOIs	https://doi.org/10.1016/j.egypro.2019.01.823
Publication status	Published - 2019
Externally published	Yes
Event	10th International Conference on Applied Energy, ICAE 2018 - Hong Kong, China Duration: 2018 Aug 22 → 2018 Aug 25

Keywords

Energy shring
Microgrids
Opimization
Uncertainty

ASJC Scopus subject areas

Energy(all)

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10.1016/j.egypro.2019.01.823

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title = "Optimization of local microgrid model for energy sharing considering daily variations in supply and demand",

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.",

keywords = "Energy shring, Microgrids, Opimization, Uncertainty",

author = "Daisuke Murakami and Yoshiki Yamagata and Takahiro Yoshida and Tomoko Matsui",

note = "Funding Information: This research is the result of a joint study conducted with CSIS, the University of Tokyo (No. 698). This work was supported by the Energy Special Accounting of the Ministry of the Environment, Japan. Publisher Copyright: {\textcopyright} 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.; 10th International Conference on Applied Energy, ICAE 2018 ; Conference date: 22-08-2018 Through 25-08-2018",

year = "2019",

doi = "10.1016/j.egypro.2019.01.823",

language = "English",

volume = "158",

pages = "4109--4114",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier BV",

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TY - JOUR

T1 - Optimization of local microgrid model for energy sharing considering daily variations in supply and demand

AU - Murakami, Daisuke

AU - Yamagata, Yoshiki

AU - Yoshida, Takahiro

AU - Matsui, Tomoko

N1 - Funding Information: This research is the result of a joint study conducted with CSIS, the University of Tokyo (No. 698). This work was supported by the Energy Special Accounting of the Ministry of the Environment, Japan. Publisher Copyright: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of ICAE2018 - The 10th International Conference on Applied Energy.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Energy shring

KW - Microgrids

KW - Opimization

KW - Uncertainty

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UR - http://www.scopus.com/inward/citedby.url?scp=85063909881&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2019.01.823

DO - 10.1016/j.egypro.2019.01.823

M3 - Conference article

AN - SCOPUS:85063909881

SN - 1876-6102

VL - 158

SP - 4109

EP - 4114

JO - Energy Procedia

JF - Energy Procedia

T2 - 10th International Conference on Applied Energy, ICAE 2018

Y2 - 22 August 2018 through 25 August 2018

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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