Demand Response Through Smart Home Energy Management Using Thermal Inertia

被引：0

作者：

Wang, Haiming ^{[1
]}

Meng, Ke ^{[1
]}

Luo, Fengji ^{[1
]}

Dong, Zhao Yang ^{[2
]}

Verbic, Gregor ^{[2
]}

Xu, Zhao ^{[3
]}

Wong, K. P. ^{[4
]}

机构：

[1] Univ Newcastle, Ctr Intelligent Elect Networks, Newcastle, NSW 2300, Australia

[2] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW, Australia

[3] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China

[4] Univ Western Australia, Dept Elect & Elect Engn, Perth, WA, Australia

来源：

2013 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC) | 2013年

关键词：

Demand Response; Mixed Integer Linear Programming; Smart Home Energy Management System; Thermal Inertia;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the value of thermal inertia in demand response to benefit customers is determined through a Mixed Integer Linear Programming (MILP) algorithm. Thermal models with different sophistications for a smart house are investigated. The energy consumption for cooling a smart house is optimized to minimize the expenditure of cooling load. One parameter and two-parameter thermal models are integrated into the optimization. The optimization of thermal load for maintaining the smart house within thermal comfort level is formulated as a MILP algorithm under the dynamic pricing policy. It is observed that the utilization of thermal inertia could potentially benefit both smart house owners and grid operators in the context of smart grid.

引用

页数：6

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