Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55518
Title: Efficient real-time residential energy management through MILP based rolling horizon optimization
Authors: Wang, H
Meng, K
Dong, ZY
Xu, Z 
Luo, F
Wong, KP
Keywords: Demand response
Mixed integer linear programming
Rolling optimization
Smart home energy management system
Issue Date: 2015
Publisher: IEEE Computer Society
Source: IEEE Power and Energy Society General Meeting, PESGM 2015, 26-30 July 2015, 7285754 How to cite?
Abstract: In this paper, a Mixed Integer Linear Programming (MILP) based rolling optimization approach under real time pricing (RTP) policy is introduced to efficiently manage energy consumption of a smart home equipped with a Battery Energy Storage System (BESS) and a solar PV system. Models of distributed energy resources (DERs) in a smart house are developed and accordingly optimal management of total energy consumption is formulated as a MILP problem, which is then solved by the MOSEK software platform. And a rolling optimization scheduling framework based on MILP is proposed to dispatch DERs within a smart home to minimize the expenditure under RTP policy. Case studies are conducted to validate the performance of the algorithm. It is observed that proposed algorithm could benefit both smart house owners and network operators technically and economically in the context of smart grid.
URI: http://hdl.handle.net/10397/55518
ISBN: 9781467380409
ISSN: 1944-9925
DOI: 10.1109/PESGM.2015.7285754
Appears in Collections:Conference Paper

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