Combined Impacts of RTP and FIT on Optimal Management for a Residential Micro-Grid

被引：2
|
作者：
Wang, Ge [1 ]
Zhang, Qi [1 ]
Tian, Ruijie [1 ]
Li, Hailong [2 ]
机构：
[1] China Univ Petr, Acad Chinese Energy Strategy, Beijing 102249, Peoples R China
[2] Malardalens Univ, Sch Business Soc & Engn, Vasteras, Sweden
来源：
CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE | 2015年 / 75卷
关键词：
Smart micro-grid; Real-time price; Feed-in-tarrif; Mix-integer non-linear optimization;
D O I：
10.1016/j.egypro.2015.07.410
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：
Residential micro-grid can reduce the household's electricity expense as well as shift the electricity demand from peak time to valley time. Optimal management of a typical residential smart micro-grid is conducted using a proposed model in the present study. In the optimal management, the real-time pricing mechanism, feed-in-tariff for Photovoltaics (PV) power as residential electricity generators, and residential appliances are considered. Four scenarios are studied and the result shows that the real-time pricing mechanism shifts effectively the electricity consumption from time peak time to valley time, and different feed-in-tariff of Photovoltaic (PV) can shift the energy consumption of micro-grid between periods with strong solar irradiation and weak solar irradiation. (C) 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
引用
收藏
页码：1666 / 1672
页数：7
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