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

被引：6
|
作者：
Murakami, Daisuke [1 ]
Yamagata, Yoshiki [2 ]
Yoshida, Takahiro [2 ]
Matsui, Tomoko [1 ]
机构：
[1] Inst Stat Math, 10-3 Midori Cho, Tachikawa, Tokyo 1908562, Japan
[2] Natl Inst Environm Studies, 16-2 Onogawa, Tsukuba, Ibaraki 3058506, Japan
来源：
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS | 2019年 / 158卷
关键词：
Microgrids; Opimization; Energy shring; Uncertainty;
D O I：
10.1016/j.egypro.2019.01.823
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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. (C) 2019 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：4109 / 4114
页数：6
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