Distributed optimization for the trade-off between state-of-charge balancing and strategic battery usage in a networked BESS

Chenyang QIU; Yangyang QIAN; Zongli LIN; Yacov A. SHAMASH

doi:10.1016/j.est.2024.114550

Distributed optimization for the trade-off between state-of-charge balancing and strategic battery usage in a networked BESS

Chenyang QIU
, Yangyang QIAN
, Zongli LIN^*
, Yacov A. SHAMASH

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

4 Citations (Scopus)

Abstract

Battery energy storage systems (BESSs) are critical components of microgrids. In this paper, we consider the dynamics of discharging batteries and propose a model for making a trade-off between balancing the state-of-charge (SoC) of battery units in a networked BESS and strategic usage of these battery units. To realize such a trade-off, we formulate an optimization problem that takes the total discharging power requirement and the limitations on individual battery units into account. The dynamics of SoC rely on the solution to the optimization problem. Furthermore, we reformulate the optimization problem in a distributed manner, employing estimators for certain global variables, and analyze the gap between the optimum with global information and the optimum with estimation in the steady state. Our simulation results verify that the trade-off between SoC balancing and strategic usage of battery units can be adjusted by tuning the weighting parameters in the optimization problems.

Original language	English
Article number	114550
Journal	Journal of Energy Storage
Volume	105
Early online date	22 Nov 2024
DOIs	https://doi.org/10.1016/j.est.2024.114550
Publication status	Published - 1 Jan 2025
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

Funding

This work relates to Department of Navy Awards N00014-22-1-2001, N00014-23-1-2124 and N00014-24-1-2287 issued by the Office of Naval Research, USA. The United States Government has a royalty-free license throughout the world in all copyrightable material contained herein.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Battery energy storage systems
Distributed optimization
Microgrids
State-of-charge balancing

Access to Document

10.1016/j.est.2024.114550

Cite this

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title = "Distributed optimization for the trade-off between state-of-charge balancing and strategic battery usage in a networked BESS",

abstract = "Battery energy storage systems (BESSs) are critical components of microgrids. In this paper, we consider the dynamics of discharging batteries and propose a model for making a trade-off between balancing the state-of-charge (SoC) of battery units in a networked BESS and strategic usage of these battery units. To realize such a trade-off, we formulate an optimization problem that takes the total discharging power requirement and the limitations on individual battery units into account. The dynamics of SoC rely on the solution to the optimization problem. Furthermore, we reformulate the optimization problem in a distributed manner, employing estimators for certain global variables, and analyze the gap between the optimum with global information and the optimum with estimation in the steady state. Our simulation results verify that the trade-off between SoC balancing and strategic usage of battery units can be adjusted by tuning the weighting parameters in the optimization problems.",

keywords = "Battery energy storage systems, Distributed optimization, Microgrids, State-of-charge balancing",

author = "Chenyang QIU and Yangyang QIAN and Zongli LIN and SHAMASH, \{Yacov A.\}",

note = "Publisher Copyright: {\textcopyright} 2024 Elsevier Ltd",

year = "2025",

month = jan,

day = "1",

doi = "10.1016/j.est.2024.114550",

language = "English",

volume = "105",

journal = "Journal of Energy Storage",

issn = "2352-152X",

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TY - JOUR

T1 - Distributed optimization for the trade-off between state-of-charge balancing and strategic battery usage in a networked BESS

AU - QIU, Chenyang

AU - QIAN, Yangyang

AU - LIN, Zongli

AU - SHAMASH, Yacov A.

PY - 2025/1/1

Y1 - 2025/1/1

N2 - Battery energy storage systems (BESSs) are critical components of microgrids. In this paper, we consider the dynamics of discharging batteries and propose a model for making a trade-off between balancing the state-of-charge (SoC) of battery units in a networked BESS and strategic usage of these battery units. To realize such a trade-off, we formulate an optimization problem that takes the total discharging power requirement and the limitations on individual battery units into account. The dynamics of SoC rely on the solution to the optimization problem. Furthermore, we reformulate the optimization problem in a distributed manner, employing estimators for certain global variables, and analyze the gap between the optimum with global information and the optimum with estimation in the steady state. Our simulation results verify that the trade-off between SoC balancing and strategic usage of battery units can be adjusted by tuning the weighting parameters in the optimization problems.

AB - Battery energy storage systems (BESSs) are critical components of microgrids. In this paper, we consider the dynamics of discharging batteries and propose a model for making a trade-off between balancing the state-of-charge (SoC) of battery units in a networked BESS and strategic usage of these battery units. To realize such a trade-off, we formulate an optimization problem that takes the total discharging power requirement and the limitations on individual battery units into account. The dynamics of SoC rely on the solution to the optimization problem. Furthermore, we reformulate the optimization problem in a distributed manner, employing estimators for certain global variables, and analyze the gap between the optimum with global information and the optimum with estimation in the steady state. Our simulation results verify that the trade-off between SoC balancing and strategic usage of battery units can be adjusted by tuning the weighting parameters in the optimization problems.

KW - Battery energy storage systems

KW - Distributed optimization

KW - Microgrids

KW - State-of-charge balancing

UR - https://www.scopus.com/pages/publications/85209649856

U2 - 10.1016/j.est.2024.114550

DO - 10.1016/j.est.2024.114550

M3 - Journal Article (refereed)

AN - SCOPUS:85209649856

SN - 2352-152X

VL - 105

JO - Journal of Energy Storage

JF - Journal of Energy Storage

M1 - 114550

ER -

Distributed optimization for the trade-off between state-of-charge balancing and strategic battery usage in a networked BESS

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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