Hybrid Storage System for Controlling Wind Uncertainty

Ibrahim M. Alotaibi; Ibrahim Elamin; Mohammad Abido; Muhammad Khalid

doi:10.1109/ISAECT53699.2021.9668334

Hybrid Storage System for Controlling Wind Uncertainty

Ibrahim M. Alotaibi
, Ibrahim Elamin
, Mohammad Abido
, Muhammad Khalid

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

1 Scopus citations

Abstract

The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings. However, excessive utilization of BESS is not advisable since it leads to bank deterioration and replacement. This paper shows that the hybridization of a high-energy-density storage device represented by BESS and a high-power density storage device represented by Superconducting Magnetic Energy Storage (SMES) would fulfill the exact requirements at a much lesser cost and better performance. A multi-stage optimization model is developed and solved using Particle Swarm Optimization (PSO) to allocate the optimal storage capacity and to operate the hybrid system considering load demand and ramp rates. Battery Health Index (BHI) and Rainflow counting algorithms are used to assess the impact of the hybridization. The study shows that the hybrid storage system remains preferable over the Stand-alone storage system in terms of cost and operation.

Original language	English
Title of host publication	2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665437738
DOIs	https://doi.org/10.1109/ISAECT53699.2021.9668334
State	Published - 2021

Publication series

Name	2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Hybrid storage system
Optimal sizing
Renewable energy
SMES / battery energy storage system
Wind ramp rate

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Aerospace Engineering
Electrical and Electronic Engineering
Instrumentation

Access to Document

10.1109/ISAECT53699.2021.9668334

Cite this

Alotaibi, I. M., Elamin, I., Abido, M., & Khalid, M. (2021). Hybrid Storage System for Controlling Wind Uncertainty. In 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021 (2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAECT53699.2021.9668334

Alotaibi, Ibrahim M. ; Elamin, Ibrahim ; Abido, Mohammad et al. / Hybrid Storage System for Controlling Wind Uncertainty. 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021).

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title = "Hybrid Storage System for Controlling Wind Uncertainty",

abstract = "The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings. However, excessive utilization of BESS is not advisable since it leads to bank deterioration and replacement. This paper shows that the hybridization of a high-energy-density storage device represented by BESS and a high-power density storage device represented by Superconducting Magnetic Energy Storage (SMES) would fulfill the exact requirements at a much lesser cost and better performance. A multi-stage optimization model is developed and solved using Particle Swarm Optimization (PSO) to allocate the optimal storage capacity and to operate the hybrid system considering load demand and ramp rates. Battery Health Index (BHI) and Rainflow counting algorithms are used to assess the impact of the hybridization. The study shows that the hybrid storage system remains preferable over the Stand-alone storage system in terms of cost and operation.",

keywords = "Hybrid storage system, Optimal sizing, Renewable energy, SMES / battery energy storage system, Wind ramp rate",

author = "Alotaibi, \{Ibrahim M.\} and Ibrahim Elamin and Mohammad Abido and Muhammad Khalid",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.",

year = "2021",

doi = "10.1109/ISAECT53699.2021.9668334",

language = "English",

series = "2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021",

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

booktitle = "2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021",

address = "United States",

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Alotaibi, IM, Elamin, I, Abido, M & Khalid, M 2021, Hybrid Storage System for Controlling Wind Uncertainty. in 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021. 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ISAECT53699.2021.9668334

Hybrid Storage System for Controlling Wind Uncertainty. / Alotaibi, Ibrahim M.; Elamin, Ibrahim; Abido, Mohammad et al.
2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021).

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

TY - GEN

T1 - Hybrid Storage System for Controlling Wind Uncertainty

AU - Alotaibi, Ibrahim M.

AU - Elamin, Ibrahim

AU - Abido, Mohammad

AU - Khalid, Muhammad

PY - 2021

Y1 - 2021

N2 - The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings. However, excessive utilization of BESS is not advisable since it leads to bank deterioration and replacement. This paper shows that the hybridization of a high-energy-density storage device represented by BESS and a high-power density storage device represented by Superconducting Magnetic Energy Storage (SMES) would fulfill the exact requirements at a much lesser cost and better performance. A multi-stage optimization model is developed and solved using Particle Swarm Optimization (PSO) to allocate the optimal storage capacity and to operate the hybrid system considering load demand and ramp rates. Battery Health Index (BHI) and Rainflow counting algorithms are used to assess the impact of the hybridization. The study shows that the hybrid storage system remains preferable over the Stand-alone storage system in terms of cost and operation.

AB - The uncertainty and ramping behavior of Renewable Energy Resources (RESs) are the main barriers when it comes to the deployment of such resources. The Battery Energy Storage System (BESS) has been widely deployed to sustain the above shortcomings. However, excessive utilization of BESS is not advisable since it leads to bank deterioration and replacement. This paper shows that the hybridization of a high-energy-density storage device represented by BESS and a high-power density storage device represented by Superconducting Magnetic Energy Storage (SMES) would fulfill the exact requirements at a much lesser cost and better performance. A multi-stage optimization model is developed and solved using Particle Swarm Optimization (PSO) to allocate the optimal storage capacity and to operate the hybrid system considering load demand and ramp rates. Battery Health Index (BHI) and Rainflow counting algorithms are used to assess the impact of the hybridization. The study shows that the hybrid storage system remains preferable over the Stand-alone storage system in terms of cost and operation.

KW - Hybrid storage system

KW - Optimal sizing

KW - Renewable energy

KW - SMES / battery energy storage system

KW - Wind ramp rate

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U2 - 10.1109/ISAECT53699.2021.9668334

DO - 10.1109/ISAECT53699.2021.9668334

M3 - Conference contribution

AN - SCOPUS:85124990687

T3 - 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021

BT - 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Alotaibi IM, Elamin I, Abido M , Khalid M. Hybrid Storage System for Controlling Wind Uncertainty. In 2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 4th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2021). doi: 10.1109/ISAECT53699.2021.9668334

Hybrid Storage System for Controlling Wind Uncertainty

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this