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

页码：1666 / 1672

页数：7