Batteries Maintenance Schedule Optimization for Profit Maximization

Hussein Abdeltawab; Yasser A.R.I. Mohamed

doi:10.1109/INTERCON52678.2021.9532738

Batteries Maintenance Schedule Optimization for Profit Maximization

Hussein Abdeltawab
, Yasser A.R.I. Mohamed

School of Engineering (Behrend)

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

Abstract

This paper proposes an addition to the traditional energy management system (EMS) of battery energy storage systems (BESSs). The addition includes optimizing the maintenance hours of the BESS to achieve maximum profit and has minimal interruption to the service hours. The proposed algorithm is compatible with different BESS applications, such as energy arbitrage, peak shaving, load shifting, and renewable resources integration. A case study validates the proposed algorithm and its ability to obtain the optimal maintenance hours.

Original language	English (US)
Title of host publication	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665412216
DOIs	https://doi.org/10.1109/INTERCON52678.2021.9532738
State	Published - Aug 5 2021
Event	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 - Virtual, Lima, Peru Duration: Aug 5 2021 → Aug 7 2021

Publication series

Name	Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

Conference

Conference	28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021
Country/Territory	Peru
City	Virtual, Lima
Period	8/5/21 → 8/7/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Decision Sciences (miscellaneous)
Information Systems and Management
Electrical and Electronic Engineering
Control and Optimization
Modeling and Simulation

Access to Document

10.1109/INTERCON52678.2021.9532738

Cite this

Abdeltawab, H., & Mohamed, Y. A. R. I. (2021). Batteries Maintenance Schedule Optimization for Profit Maximization. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INTERCON52678.2021.9532738

Abdeltawab, Hussein ; Mohamed, Yasser A.R.I. / Batteries Maintenance Schedule Optimization for Profit Maximization. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

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title = "Batteries Maintenance Schedule Optimization for Profit Maximization",

abstract = "This paper proposes an addition to the traditional energy management system (EMS) of battery energy storage systems (BESSs). The addition includes optimizing the maintenance hours of the BESS to achieve maximum profit and has minimal interruption to the service hours. The proposed algorithm is compatible with different BESS applications, such as energy arbitrage, peak shaving, load shifting, and renewable resources integration. A case study validates the proposed algorithm and its ability to obtain the optimal maintenance hours. ",

author = "Hussein Abdeltawab and Mohamed, \{Yasser A.R.I.\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021 ; Conference date: 05-08-2021 Through 07-08-2021",

year = "2021",

month = aug,

day = "5",

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language = "English (US)",

series = "Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021",

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address = "United States",

}

Abdeltawab, H & Mohamed, YARI 2021, Batteries Maintenance Schedule Optimization for Profit Maximization. in Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Institute of Electrical and Electronics Engineers Inc., 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021, Virtual, Lima, Peru, 8/5/21. https://doi.org/10.1109/INTERCON52678.2021.9532738

Batteries Maintenance Schedule Optimization for Profit Maximization. / Abdeltawab, Hussein; Mohamed, Yasser A.R.I.
Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021).

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

TY - GEN

T1 - Batteries Maintenance Schedule Optimization for Profit Maximization

AU - Abdeltawab, Hussein

AU - Mohamed, Yasser A.R.I.

PY - 2021/8/5

Y1 - 2021/8/5

N2 - This paper proposes an addition to the traditional energy management system (EMS) of battery energy storage systems (BESSs). The addition includes optimizing the maintenance hours of the BESS to achieve maximum profit and has minimal interruption to the service hours. The proposed algorithm is compatible with different BESS applications, such as energy arbitrage, peak shaving, load shifting, and renewable resources integration. A case study validates the proposed algorithm and its ability to obtain the optimal maintenance hours.

AB - This paper proposes an addition to the traditional energy management system (EMS) of battery energy storage systems (BESSs). The addition includes optimizing the maintenance hours of the BESS to achieve maximum profit and has minimal interruption to the service hours. The proposed algorithm is compatible with different BESS applications, such as energy arbitrage, peak shaving, load shifting, and renewable resources integration. A case study validates the proposed algorithm and its ability to obtain the optimal maintenance hours.

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DO - 10.1109/INTERCON52678.2021.9532738

M3 - Conference contribution

AN - SCOPUS:85116239649

T3 - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

BT - Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 28th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021

Y2 - 5 August 2021 through 7 August 2021

ER -

Abdeltawab H, Mohamed YARI. Batteries Maintenance Schedule Optimization for Profit Maximization. In Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of the 2021 IEEE 28th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2021). doi: 10.1109/INTERCON52678.2021.9532738

Batteries Maintenance Schedule Optimization for Profit Maximization

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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