Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage

Mitchell T. Smith; Michael R. Starke; Madhu Chinthavali; Leon M. Tolbert

doi:10.1109/ECCE.2019.8912309

Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage

Mitchell T. Smith, Michael R. Starke, Madhu Chinthavali, Leon M. Tolbert

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

8 Scopus citations

Abstract

The next generation of utility-scale energy storage will be composed of modular systems and autoconfiguring software. This is key to incorporating battery management systems (BMS) and power electronic converters (PEC) from multiple manufacturers into a cohesive single system. In this paper, an agent-based architecture which supports the integration of numerous BMSs and PECs is proposed. This architecture supports optimization and control of the entire system and can be used in many different energy storage technologies.

Original language	English
Title of host publication	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5386-5392
Number of pages	7
ISBN (Electronic)	9781728103952
DOIs	https://doi.org/10.1109/ECCE.2019.8912309
State	Published - Sep 2019
Event	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States Duration: Sep 29 2019 → Oct 3 2019

Publication series

Name	2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference	11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
Country/Territory	United States
City	Baltimore
Period	09/29/19 → 10/3/19

Funding

Notice: 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). ACKNOWLEDGMENT This work was funded by the U.S. Department of Energy, Office of Electricity, Energy Storage Program under contract number DE-AC05-00OR22725.

Funders	Funder number
LLC
Office of Electricity
UT-Battelle
U.S. Department of Energy	DE-AC05-00OR22725

Keywords

Agent-based
Distributed optimization
Energy storage
Secondary-use batteries
Transactive

Access to Document

10.1109/ECCE.2019.8912309

Cite this

Smith, M. T., Starke, M. R., Chinthavali, M., & Tolbert, L. M. (2019). Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 (pp. 5386-5392). Article 8912309 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2019.8912309

@inproceedings{9bdde00c31f14e0db8d18400116fa3e0,

title = "Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage",

abstract = "The next generation of utility-scale energy storage will be composed of modular systems and autoconfiguring software. This is key to incorporating battery management systems (BMS) and power electronic converters (PEC) from multiple manufacturers into a cohesive single system. In this paper, an agent-based architecture which supports the integration of numerous BMSs and PECs is proposed. This architecture supports optimization and control of the entire system and can be used in many different energy storage technologies.",

keywords = "Agent-based, Distributed optimization, Energy storage, Secondary-use batteries, Transactive",

author = "Smith, {Mitchell T.} and Starke, {Michael R.} and Madhu Chinthavali and Tolbert, {Leon M.}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

year = "2019",

month = sep,

doi = "10.1109/ECCE.2019.8912309",

language = "English",

series = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5386--5392",

booktitle = "2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019",

}

Smith, MT, Starke, MR , Chinthavali, M & Tolbert, LM 2019, Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage. in 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019., 8912309, 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 5386-5392, 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019, Baltimore, United States, 09/29/19. https://doi.org/10.1109/ECCE.2019.8912309

Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage. / Smith, Mitchell T.; Starke, Michael R.; Chinthavali, Madhu et al.
2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5386-5392 8912309 (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019).

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

TY - GEN

T1 - Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage

AU - Smith, Mitchell T.

AU - Starke, Michael R.

AU - Chinthavali, Madhu

AU - Tolbert, Leon M.

PY - 2019/9

Y1 - 2019/9

N2 - The next generation of utility-scale energy storage will be composed of modular systems and autoconfiguring software. This is key to incorporating battery management systems (BMS) and power electronic converters (PEC) from multiple manufacturers into a cohesive single system. In this paper, an agent-based architecture which supports the integration of numerous BMSs and PECs is proposed. This architecture supports optimization and control of the entire system and can be used in many different energy storage technologies.

AB - The next generation of utility-scale energy storage will be composed of modular systems and autoconfiguring software. This is key to incorporating battery management systems (BMS) and power electronic converters (PEC) from multiple manufacturers into a cohesive single system. In this paper, an agent-based architecture which supports the integration of numerous BMSs and PECs is proposed. This architecture supports optimization and control of the entire system and can be used in many different energy storage technologies.

KW - Agent-based

KW - Distributed optimization

KW - Energy storage

KW - Secondary-use batteries

KW - Transactive

UR - http://www.scopus.com/inward/record.url?scp=85076747441&partnerID=8YFLogxK

U2 - 10.1109/ECCE.2019.8912309

DO - 10.1109/ECCE.2019.8912309

M3 - Conference contribution

AN - SCOPUS:85076747441

T3 - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

SP - 5386

EP - 5392

BT - 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019

Y2 - 29 September 2019 through 3 October 2019

ER -

Architecture for Utility-Scale Multi-Chemistry Battery Energy Storage

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this