Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables

Mohamed A. Abdulgalil; Muaiz Ali; Muhammad Khalid

doi:10.1109/ICCAD57653.2023.10152336

Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables

Mohamed A. Abdulgalil, Muaiz Ali, Muhammad Khalid

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

4 Scopus citations

Abstract

Many nations' goals now include the construction and operation of new renewable energy projects. To maximize the utilization of renewable energy, the system must be coupled with energy storage systems (ESSs). To save costs, ESSs must be effectively allocated and sized. To size the ESSs as effectively as possible, several strategies and methodologies have been explored. Moreover, the most effective ESS distribution helps in expense saving and system reliability improvement. This research has devised an efficient way to size and distribute ESSs utilizing AC optimal power flow approach. The proposed technique was assessed using the IEEE 24-bus reliability test system, and the findings supported the suggested technique. The results include optimal sizes and placements for various ESSs to be incorporated into the network. Additionally, a calculation of the system's reliability showed its improvement as a result.

Original language	English
Title of host publication	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350347074
DOIs	https://doi.org/10.1109/ICCAD57653.2023.10152336
State	Published - 2023
Event	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy Duration: 10 May 2023 → 12 May 2023

Publication series

Name	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Conference

Conference	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Country/Territory	Italy
City	Rome
Period	10/05/23 → 12/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Power system planning
energy storage system
microgrids
reliability
renewable energy

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

UN SDGs

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

Access to Document

10.1109/ICCAD57653.2023.10152336

Cite this

Abdulgalil, M. A., Ali, M., & Khalid, M. (2023). Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAD57653.2023.10152336

Abdulgalil, Mohamed A. ; Ali, Muaiz ; Khalid, Muhammad. / Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables. 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023).

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language = "English",

series = "2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023",

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Abdulgalil, MA, Ali, M & Khalid, M 2023, Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables. in 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023, Rome, Italy, 10/05/23. https://doi.org/10.1109/ICCAD57653.2023.10152336

Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables. / Abdulgalil, Mohamed A.; Ali, Muaiz; Khalid, Muhammad.
2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023).

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

TY - GEN

T1 - Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables

AU - Abdulgalil, Mohamed A.

AU - Ali, Muaiz

AU - Khalid, Muhammad

PY - 2023

Y1 - 2023

N2 - Many nations' goals now include the construction and operation of new renewable energy projects. To maximize the utilization of renewable energy, the system must be coupled with energy storage systems (ESSs). To save costs, ESSs must be effectively allocated and sized. To size the ESSs as effectively as possible, several strategies and methodologies have been explored. Moreover, the most effective ESS distribution helps in expense saving and system reliability improvement. This research has devised an efficient way to size and distribute ESSs utilizing AC optimal power flow approach. The proposed technique was assessed using the IEEE 24-bus reliability test system, and the findings supported the suggested technique. The results include optimal sizes and placements for various ESSs to be incorporated into the network. Additionally, a calculation of the system's reliability showed its improvement as a result.

AB - Many nations' goals now include the construction and operation of new renewable energy projects. To maximize the utilization of renewable energy, the system must be coupled with energy storage systems (ESSs). To save costs, ESSs must be effectively allocated and sized. To size the ESSs as effectively as possible, several strategies and methodologies have been explored. Moreover, the most effective ESS distribution helps in expense saving and system reliability improvement. This research has devised an efficient way to size and distribute ESSs utilizing AC optimal power flow approach. The proposed technique was assessed using the IEEE 24-bus reliability test system, and the findings supported the suggested technique. The results include optimal sizes and placements for various ESSs to be incorporated into the network. Additionally, a calculation of the system's reliability showed its improvement as a result.

KW - Power system planning

KW - energy storage system

KW - microgrids

KW - reliability

KW - renewable energy

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M3 - Conference contribution

AN - SCOPUS:85164200333

T3 - 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

BT - 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Abdulgalil MA, Ali M, Khalid M. Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023). doi: 10.1109/ICCAD57653.2023.10152336

Capacity Optimization of Battery Energy Storage System for Large-Scale Grid Integration of Renewables

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this