A MILP-based distribution optimal power flow model for microgrid operation

Guodong Liu; Michael Starke; Xiaohu Zhang; Kevin Tomsovic

doi:10.1109/PESGM.2016.7741704

A MILP-based distribution optimal power flow model for microgrid operation

Guodong Liu, Michael Starke, Xiaohu Zhang, Kevin Tomsovic

Grid Systems Architecture

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

27 Scopus citations

Abstract

This paper proposes a distribution optimal power flow (D-OPF) model for the operation of microgrids. The proposed model minimizes not only the operating cost, including fuel cost, purchasing cost and demand charge, but also several performance indices, including voltage deviation, network power loss and power factor. It co-optimizes the real and reactive power form distributed generators (DGs) and batteries considering their capacity and power factor limits. The D-OPF is formulated as a mixed-integer linear programming (MILP). Numerical simulation results show the effectiveness of the proposed model.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741704
State	Published - Nov 10 2016
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: Jul 17 2016 → Jul 21 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	07/17/16 → 07/21/16

Funding

This work was sponsored by the Office of Electricity Delivery and Energy Reliability, U.S. Department of Energy under Contract No. DE-AC05-00OR 22725 with UT-Battelle and conducted at ORNL and UT Knoxville. This work also made use of Engineering Research Center Shared Facilities supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program

Funders	Funder number
National Science Foundation	EEC-1041877
U.S. Department of Energy	DE-AC05-00OR 22725
Office of Electricity Delivery and Energy Reliability
Oak Ridge National Laboratory

Keywords

Distributed generators
Distribution optimal power flow
Microgrids
Mixed-integer linear programming
Multiobjective optimization

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10.1109/PESGM.2016.7741704

Cite this

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title = "A MILP-based distribution optimal power flow model for microgrid operation",

abstract = "This paper proposes a distribution optimal power flow (D-OPF) model for the operation of microgrids. The proposed model minimizes not only the operating cost, including fuel cost, purchasing cost and demand charge, but also several performance indices, including voltage deviation, network power loss and power factor. It co-optimizes the real and reactive power form distributed generators (DGs) and batteries considering their capacity and power factor limits. The D-OPF is formulated as a mixed-integer linear programming (MILP). Numerical simulation results show the effectiveness of the proposed model.",

keywords = "Distributed generators, Distribution optimal power flow, Microgrids, Mixed-integer linear programming, Multiobjective optimization",

author = "Guodong Liu and Michael Starke and Xiaohu Zhang and Kevin Tomsovic",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

year = "2016",

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day = "10",

doi = "10.1109/PESGM.2016.7741704",

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Liu, G , Starke, M, Zhang, X & Tomsovic, K 2016, A MILP-based distribution optimal power flow model for microgrid operation. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741704, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 07/17/16. https://doi.org/10.1109/PESGM.2016.7741704

A MILP-based distribution optimal power flow model for microgrid operation. / Liu, Guodong ; Starke, Michael; Zhang, Xiaohu et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741704 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A MILP-based distribution optimal power flow model for microgrid operation

AU - Liu, Guodong

AU - Starke, Michael

AU - Zhang, Xiaohu

AU - Tomsovic, Kevin

PY - 2016/11/10

Y1 - 2016/11/10

N2 - This paper proposes a distribution optimal power flow (D-OPF) model for the operation of microgrids. The proposed model minimizes not only the operating cost, including fuel cost, purchasing cost and demand charge, but also several performance indices, including voltage deviation, network power loss and power factor. It co-optimizes the real and reactive power form distributed generators (DGs) and batteries considering their capacity and power factor limits. The D-OPF is formulated as a mixed-integer linear programming (MILP). Numerical simulation results show the effectiveness of the proposed model.

AB - This paper proposes a distribution optimal power flow (D-OPF) model for the operation of microgrids. The proposed model minimizes not only the operating cost, including fuel cost, purchasing cost and demand charge, but also several performance indices, including voltage deviation, network power loss and power factor. It co-optimizes the real and reactive power form distributed generators (DGs) and batteries considering their capacity and power factor limits. The D-OPF is formulated as a mixed-integer linear programming (MILP). Numerical simulation results show the effectiveness of the proposed model.

KW - Distributed generators

KW - Distribution optimal power flow

KW - Microgrids

KW - Mixed-integer linear programming

KW - Multiobjective optimization

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DO - 10.1109/PESGM.2016.7741704

M3 - Conference contribution

AN - SCOPUS:85002397932

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

A MILP-based distribution optimal power flow model for microgrid operation

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