Distributed real-time phase balancing for power grids with energy storage

Sun Sun; Joshua A. Taylor; Min Dong; Ben Liang

doi:10.1109/ACC.2015.7171798

Distributed real-time phase balancing for power grids with energy storage

Sun Sun, Joshua A. Taylor, Min Dong, Ben Liang

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

3 Scopus citations

Abstract

Phase balancing is of paramount importance for power system operation. We consider a substation connected to multiple buses, each with single phase loads, generation, and energy storage. A representative of the substation operates the system and aims to minimize the cost of all buses as well as balancing loads among phases. We first consider ideal energy storage with perfect charging and discharging efficiency, and propose a distributed real-time algorithm taking into account system uncertainty. The proposed algorithm does not require any system statistics and can ensure a certain performance guarantee. We further extend the algorithm to accommodate non-ideal energy storage. The algorithm is evaluated through numerical examples and compared with a greedy algorithm.

Original language	English (US)
Title of host publication	ACC 2015 - 2015 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3032-3037
Number of pages	6
ISBN (Electronic)	9781479986842
DOIs	https://doi.org/10.1109/ACC.2015.7171798
State	Published - Jul 28 2015
Externally published	Yes
Event	2015 American Control Conference, ACC 2015 - Chicago, United States Duration: Jul 1 2015 → Jul 3 2015

Publication series

Name	Proceedings of the American Control Conference
Volume	2015-July
ISSN (Print)	0743-1619

Other

Other	2015 American Control Conference, ACC 2015
Country/Territory	United States
City	Chicago
Period	7/1/15 → 7/3/15

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2015.7171798

Cite this

Sun, S., Taylor, J. A., Dong, M., & Liang, B. (2015). Distributed real-time phase balancing for power grids with energy storage. In ACC 2015 - 2015 American Control Conference (pp. 3032-3037). Article 7171798 (Proceedings of the American Control Conference; Vol. 2015-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7171798

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title = "Distributed real-time phase balancing for power grids with energy storage",

abstract = "Phase balancing is of paramount importance for power system operation. We consider a substation connected to multiple buses, each with single phase loads, generation, and energy storage. A representative of the substation operates the system and aims to minimize the cost of all buses as well as balancing loads among phases. We first consider ideal energy storage with perfect charging and discharging efficiency, and propose a distributed real-time algorithm taking into account system uncertainty. The proposed algorithm does not require any system statistics and can ensure a certain performance guarantee. We further extend the algorithm to accommodate non-ideal energy storage. The algorithm is evaluated through numerical examples and compared with a greedy algorithm.",

author = "Sun Sun and Taylor, {Joshua A.} and Min Dong and Ben Liang",

note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",

year = "2015",

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day = "28",

doi = "10.1109/ACC.2015.7171798",

language = "English (US)",

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Sun, S, Taylor, JA, Dong, M & Liang, B 2015, Distributed real-time phase balancing for power grids with energy storage. in ACC 2015 - 2015 American Control Conference., 7171798, Proceedings of the American Control Conference, vol. 2015-July, Institute of Electrical and Electronics Engineers Inc., pp. 3032-3037, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7171798

Distributed real-time phase balancing for power grids with energy storage. / Sun, Sun; Taylor, Joshua A.; Dong, Min et al.
ACC 2015 - 2015 American Control Conference. Institute of Electrical and Electronics Engineers Inc., 2015. p. 3032-3037 7171798 (Proceedings of the American Control Conference; Vol. 2015-July).

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

TY - GEN

T1 - Distributed real-time phase balancing for power grids with energy storage

AU - Sun, Sun

AU - Taylor, Joshua A.

AU - Dong, Min

AU - Liang, Ben

PY - 2015/7/28

Y1 - 2015/7/28

N2 - Phase balancing is of paramount importance for power system operation. We consider a substation connected to multiple buses, each with single phase loads, generation, and energy storage. A representative of the substation operates the system and aims to minimize the cost of all buses as well as balancing loads among phases. We first consider ideal energy storage with perfect charging and discharging efficiency, and propose a distributed real-time algorithm taking into account system uncertainty. The proposed algorithm does not require any system statistics and can ensure a certain performance guarantee. We further extend the algorithm to accommodate non-ideal energy storage. The algorithm is evaluated through numerical examples and compared with a greedy algorithm.

AB - Phase balancing is of paramount importance for power system operation. We consider a substation connected to multiple buses, each with single phase loads, generation, and energy storage. A representative of the substation operates the system and aims to minimize the cost of all buses as well as balancing loads among phases. We first consider ideal energy storage with perfect charging and discharging efficiency, and propose a distributed real-time algorithm taking into account system uncertainty. The proposed algorithm does not require any system statistics and can ensure a certain performance guarantee. We further extend the algorithm to accommodate non-ideal energy storage. The algorithm is evaluated through numerical examples and compared with a greedy algorithm.

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M3 - Conference contribution

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T3 - Proceedings of the American Control Conference

SP - 3032

EP - 3037

BT - ACC 2015 - 2015 American Control Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 American Control Conference, ACC 2015

Y2 - 1 July 2015 through 3 July 2015

ER -

Distributed real-time phase balancing for power grids with energy storage

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All Science Journal Classification (ASJC) codes

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