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

H. Wang; K. Meng; Z.Y. Dong; Z. Xu; F. Luo; Kitpo Wong

doi:10.1109/PESGM.2015.7285754

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

H. Wang, K. Meng, Z.Y. Dong, Z. Xu, F. Luo, Kitpo Wong

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

24 Citations (Scopus)

Abstract

© 2015 IEEE. 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	IEEE Power and Energy Society General Meeting 2015
Place of Publication	USA
Publisher	Wiley-IEEE Press
Pages	1-6
Volume	2015-September
ISBN (Print)	9781467380409
DOIs	https://doi.org/10.1109/PESGM.2015.7285754
Publication status	Published - 2015
Event	2015 IEEE Power and Energy Society General Meeting - Denver, United States Duration: 26 Jul 2015 → 30 Jul 2015

Conference

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PESGM.2015.7285754

Cite this

@inproceedings{fc64cc76aaa64f67ba63c6a1cd49ce76,

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

abstract = "{\textcopyright} 2015 IEEE. 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.",

author = "H. Wang and K. Meng and Z.Y. Dong and Z. Xu and F. Luo and Kitpo Wong",

year = "2015",

doi = "10.1109/PESGM.2015.7285754",

language = "English",

isbn = "9781467380409",

volume = "2015-September",

pages = "1--6",

booktitle = "IEEE Power and Energy Society General Meeting 2015",

publisher = "Wiley-IEEE Press",

note = "2015 IEEE Power and Energy Society General Meeting ; Conference date: 26-07-2015 Through 30-07-2015",

}

Wang, H, Meng, K, Dong, ZY, Xu, Z, Luo, F & Wong, K 2015, Efficient real-time residential energy management through MILP based rolling horizon optimization. in IEEE Power and Energy Society General Meeting 2015. vol. 2015-September, Wiley-IEEE Press, USA, pp. 1-6, 2015 IEEE Power and Energy Society General Meeting, Denver, Colorado, United States, 26/07/15. https://doi.org/10.1109/PESGM.2015.7285754

TY - GEN

T1 - Efficient real-time residential energy management through MILP based rolling horizon optimization

AU - Wang, H.

AU - Meng, K.

AU - Dong, Z.Y.

AU - Xu, Z.

AU - Luo, F.

AU - Wong, Kitpo

PY - 2015

Y1 - 2015

N2 - © 2015 IEEE. 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.

AB - © 2015 IEEE. 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.

U2 - 10.1109/PESGM.2015.7285754

DO - 10.1109/PESGM.2015.7285754

M3 - Conference paper

SN - 9781467380409

VL - 2015-September

SP - 1

EP - 6

BT - IEEE Power and Energy Society General Meeting 2015

PB - Wiley-IEEE Press

CY - USA

T2 - 2015 IEEE Power and Energy Society General Meeting

Y2 - 26 July 2015 through 30 July 2015

ER -

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

Abstract

Conference

UN SDGs

Access to Document

Fingerprint

Cite this