Demand response through smart home energy management using thermal inertia

Author

Haiming Wang ; Ke Meng ; FengJi Luo ; Zhao Yang Dong ; Verbic, Gregor ; Zhao Xu ; Wong, Kit Po

Author_Institution

Centre for Intell. Electr. Networks, Univ. of Newcastle, Newcastle, NSW, Australia

fYear

2013

fDate

Sept. 29 2013-Oct. 3 2013

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

building management systems; cooling; demand side management; home automation; integer programming; linear programming; optimisation; power consumption; smart power grids; MILP algorithm; cooling load; demand response; dynamic pricing policy; energy consumption; mixed integer linear programming; one parameter thermal model; smart grid; smart home energy management; thermal comfort level; thermal inertia; two-parameter thermal model; Heating; Lead; Smart grids; TV; Demand Response; Mixed Integer Linear Programming; Smart Home Energy Management System; Thermal Inertia;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference (AUPEC), 2013 Australasian Universities

Conference_Location

Hobart, TAS

Type

conf

DOI

10.1109/AUPEC.2013.6725442

Filename

6725442