Efficient real-time residential energy management through MILP based rolling horizon optimization

Haiming Wang; Ke Meng; Zhao Yang Dong; Zhao Xu; Fengji Luo; Kit Po Wong

doi:10.1109/PESGM.2015.7285754

Efficient real-time residential energy management through MILP based rolling horizon optimization

Haiming Wang, Ke Meng, Zhao Yang Dong, Zhao Xu, Fengji Luo, Kit Po Wong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

18 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 IEEE Power and Energy Society General Meeting, PESGM 2015
Publisher	IEEE Computer Society
Volume	2015-September
ISBN (Electronic)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285754
Publication status	Published - 30 Sep 2015
Event	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Conference

Conference	IEEE Power and Energy Society General Meeting, PESGM 2015
Country	United States
City	Denver
Period	26/07/15 → 30/07/15

Keywords

Demand Response
Mixed Integer Linear Programming
Rolling Optimization
Smart Home Energy Management System

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

More information

10.1109/PESGM.2015.7285754

Scopus Link

Cite this

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title = "Efficient real-time residential energy management through MILP based rolling horizon optimization",

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.",

keywords = "Demand Response, Mixed Integer Linear Programming, Rolling Optimization, Smart Home Energy Management System",

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Wang, H, Meng, K, Dong, ZY, Xu, Z, Luo, F & Wong, KP 2015, Efficient real-time residential energy management through MILP based rolling horizon optimization. in 2015 IEEE Power and Energy Society General Meeting, PESGM 2015. vol. 2015-September, 7285754, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7285754

Efficient real-time residential energy management through MILP based rolling horizon optimization. / Wang, Haiming; Meng, Ke; Dong, Zhao Yang; Xu, Zhao; Luo, Fengji; Wong, Kit Po.

2015 IEEE Power and Energy Society General Meeting, PESGM 2015. Vol. 2015-September IEEE Computer Society, 2015. 7285754.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Dong, Zhao Yang

AU - Xu, Zhao

AU - Luo, Fengji

AU - Wong, Kit Po

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AB - 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.

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