Robust optimization for load scheduling of a smart home with photovoltaic system

被引：92

作者：

Wang, Chengshan ^{[1
]}

Zhou, Yue ^{[1
]}

Jiao, Bingqi ^{[1
]}

Wang, Yamin ^{[2
]}

Liu, Wenjian ^{[1
]}

Wang, Dan ^{[1
]}

机构：

[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China

[2] Clarkson Univ, Elect & Comp Engn Dept, Potsdam, NY 13699 USA

来源：

ENERGY CONVERSION AND MANAGEMENT | 2015年 / 102卷

基金：

英国工程与自然科学研究理事会; 中国国家自然科学基金;

关键词：

Robust optimization; Smart home; Load scheduling; Photovoltaic system; Uncertainty; Energy management; Demand response; MANAGEMENT; PRICE;

D O I：

10.1016/j.enconman.2015.01.053

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, a robust approach is developed to tackle the uncertainty of PV power output for load scheduling of smart homes integrated with household PV system. Specifically, a robust formulation is proposed and further transformed to an equivalent quadratic programming problem. Day-ahead load schedules with different robustness can be generated by solving the proposed robust formulation with different predefined parameters. The validity and advantage of the proposed approach has been verified by simulation results. Also, the effects of feed-in tariff and PV output have been evaluated. (c) 2015 Elsevier Ltd. All rights reserved.

引用

页码：247 / 257

页数：11

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