Networked Microgrids for Improving Economics and Resiliency

Guodong Liu; Thomas B. Ollis; Bailu Xiao; Xiaohu Zhang; Kevin Tomsovic

doi:10.1109/PESGM.2018.8585929

Networked Microgrids for Improving Economics and Resiliency

Guodong Liu, Thomas B. Ollis, Bailu Xiao, Xiaohu Zhang, Kevin Tomsovic

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

5 Scopus citations

Abstract

In this paper, we propose networked microgrids to facilitate the integration of variable renewable generation and improve the economics and resiliency of electricity supply in microgrids. A new concept, probability of successful islanding (PSI) is used to quantify the islanding capability of a microgrid considering the uncertainty of renewable energy resources and load as well as exchanged power at PCC. With the goal of min-imizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of both individual microgrid and networked microgrids. Numerical simulation results show significant saving in electricity cost can be achieved by proposed networked microgrids without compromising the resiliency. The impact of correlation coefficients among the renewable generation and load of adjacent microgrids has been studied as well.

Original language	English
Title of host publication	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Publisher	IEEE Computer Society
ISBN (Electronic)	9781538677032
DOIs	https://doi.org/10.1109/PESGM.2018.8585929
State	Published - Dec 21 2018
Event	2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States Duration: Aug 5 2018 → Aug 10 2018

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Country/Territory	United States
City	Portland
Period	08/5/18 → 08/10/18

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan(http://energy.gov/downloads/doe-public-access-plan).

Keywords

Economics
Networked microgrids
Optimal scheduling
Probability of successful islanding
Resiliency

UN SDGs

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

Access to Document

10.1109/PESGM.2018.8585929

Cite this

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title = "Networked Microgrids for Improving Economics and Resiliency",

abstract = "In this paper, we propose networked microgrids to facilitate the integration of variable renewable generation and improve the economics and resiliency of electricity supply in microgrids. A new concept, probability of successful islanding (PSI) is used to quantify the islanding capability of a microgrid considering the uncertainty of renewable energy resources and load as well as exchanged power at PCC. With the goal of min-imizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of both individual microgrid and networked microgrids. Numerical simulation results show significant saving in electricity cost can be achieved by proposed networked microgrids without compromising the resiliency. The impact of correlation coefficients among the renewable generation and load of adjacent microgrids has been studied as well.",

keywords = "Economics, Networked microgrids, Optimal scheduling, Probability of successful islanding, Resiliency",

author = "Guodong Liu and Ollis, {Thomas B.} and Bailu Xiao and Xiaohu Zhang and Kevin Tomsovic",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Power and Energy Society General Meeting, PESGM 2018 ; Conference date: 05-08-2018 Through 10-08-2018",

year = "2018",

month = dec,

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doi = "10.1109/PESGM.2018.8585929",

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publisher = "IEEE Computer Society",

booktitle = "2018 IEEE Power and Energy Society General Meeting, PESGM 2018",

}

Liu, G , Ollis, TB, Xiao, B, Zhang, X & Tomsovic, K 2018, Networked Microgrids for Improving Economics and Resiliency. in 2018 IEEE Power and Energy Society General Meeting, PESGM 2018., 8585929, IEEE Power and Energy Society General Meeting, vol. 2018-August, IEEE Computer Society, 2018 IEEE Power and Energy Society General Meeting, PESGM 2018, Portland, United States, 08/5/18. https://doi.org/10.1109/PESGM.2018.8585929

Networked Microgrids for Improving Economics and Resiliency. / Liu, Guodong ; Ollis, Thomas B.; Xiao, Bailu et al.
2018 IEEE Power and Energy Society General Meeting, PESGM 2018. IEEE Computer Society, 2018. 8585929 (IEEE Power and Energy Society General Meeting; Vol. 2018-August).

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

TY - GEN

T1 - Networked Microgrids for Improving Economics and Resiliency

AU - Liu, Guodong

AU - Ollis, Thomas B.

AU - Xiao, Bailu

AU - Zhang, Xiaohu

AU - Tomsovic, Kevin

PY - 2018/12/21

Y1 - 2018/12/21

N2 - In this paper, we propose networked microgrids to facilitate the integration of variable renewable generation and improve the economics and resiliency of electricity supply in microgrids. A new concept, probability of successful islanding (PSI) is used to quantify the islanding capability of a microgrid considering the uncertainty of renewable energy resources and load as well as exchanged power at PCC. With the goal of min-imizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of both individual microgrid and networked microgrids. Numerical simulation results show significant saving in electricity cost can be achieved by proposed networked microgrids without compromising the resiliency. The impact of correlation coefficients among the renewable generation and load of adjacent microgrids has been studied as well.

AB - In this paper, we propose networked microgrids to facilitate the integration of variable renewable generation and improve the economics and resiliency of electricity supply in microgrids. A new concept, probability of successful islanding (PSI) is used to quantify the islanding capability of a microgrid considering the uncertainty of renewable energy resources and load as well as exchanged power at PCC. With the goal of min-imizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of both individual microgrid and networked microgrids. Numerical simulation results show significant saving in electricity cost can be achieved by proposed networked microgrids without compromising the resiliency. The impact of correlation coefficients among the renewable generation and load of adjacent microgrids has been studied as well.

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KW - Probability of successful islanding

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ER -

Networked Microgrids for Improving Economics and Resiliency

Abstract

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Keywords

UN SDGs

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