Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm

Babangida Modu; Md Pauzi Abdullah; Abdulrahman Alkassem; Abba Lawan Bukar; Nur Hazirah Zainal

doi:10.1109/CENCON58932.2023.10369217

Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm

Babangida Modu^*, Md Pauzi Abdullah, Abdulrahman Alkassem, Abba Lawan Bukar, Nur Hazirah Zainal

^*Corresponding author for this work

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

5 Scopus citations

Abstract

Generating electricity through a hybrid renewable energy system (HRES) is crucial for accomplishing one of the goals of sustainable development (SDG 7 - Affordable and Clean Energy). However, designing an optimal HRES is challenging due to the fluctuating demand and intermittent nature of renewable energy sources (RES). Recently, hybrid hydrogen-battery energy storage technologies have gained significant attention as a means to facilitate a sustainable and net-zero-emission HRES. This research paper introduces a rule-based algorithm and metaheuristic optimization technique known as Levy Flight Algorithm (LFA) for the energy management strategy (EMS) of an independent HRES. The EMS aims to establish a power delivery sequence for the various components within the microgrid, and subsequently, LFA is employed to optimize the EMS. To address the variability and unpredictability of renewable energy sources (RES), the proposed EMS is evaluated across four scenarios: winter, spring, summer, and autumn derived from a stochastic model of RES. The results demonstrate that the energy management strategy employed to control the HRES has successfully established an environmentally friendly energy system.

Original language	English
Title of host publication	2023 IEEE Conference on Energy Conversion, CENCON 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	35-40
Number of pages	6
ISBN (Electronic)	9798350325096
DOIs	https://doi.org/10.1109/CENCON58932.2023.10369217
State	Published - 2023
Externally published	Yes
Event	6th IEEE Conference on Energy Conversion, CENCON 2023 - Kuching, Malaysia Duration: 23 Oct 2023 → 24 Oct 2023

Publication series

Name	2023 IEEE Conference on Energy Conversion, CENCON 2023

Conference

Conference	6th IEEE Conference on Energy Conversion, CENCON 2023
Country/Territory	Malaysia
City	Kuching
Period	23/10/23 → 24/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Energy management strategy
Genetic algorithm
Hydrogen storage
Renewable energy sources

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Automotive Engineering
Electrical and Electronic Engineering
Mechanical Engineering

UN SDGs

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

Access to Document

10.1109/CENCON58932.2023.10369217

Cite this

Modu, B., Abdullah, M. P., Alkassem, A., Bukar, A. L., & Zainal, N. H. (2023). Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm. In 2023 IEEE Conference on Energy Conversion, CENCON 2023 (pp. 35-40). (2023 IEEE Conference on Energy Conversion, CENCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENCON58932.2023.10369217

Modu, Babangida ; Abdullah, Md Pauzi ; Alkassem, Abdulrahman et al. / Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm. 2023 IEEE Conference on Energy Conversion, CENCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 35-40 (2023 IEEE Conference on Energy Conversion, CENCON 2023).

@inproceedings{3c343ab2c28f48c58d97d7d7b1a8ebb5,

title = "Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm",

abstract = "Generating electricity through a hybrid renewable energy system (HRES) is crucial for accomplishing one of the goals of sustainable development (SDG 7 - Affordable and Clean Energy). However, designing an optimal HRES is challenging due to the fluctuating demand and intermittent nature of renewable energy sources (RES). Recently, hybrid hydrogen-battery energy storage technologies have gained significant attention as a means to facilitate a sustainable and net-zero-emission HRES. This research paper introduces a rule-based algorithm and metaheuristic optimization technique known as Levy Flight Algorithm (LFA) for the energy management strategy (EMS) of an independent HRES. The EMS aims to establish a power delivery sequence for the various components within the microgrid, and subsequently, LFA is employed to optimize the EMS. To address the variability and unpredictability of renewable energy sources (RES), the proposed EMS is evaluated across four scenarios: winter, spring, summer, and autumn derived from a stochastic model of RES. The results demonstrate that the energy management strategy employed to control the HRES has successfully established an environmentally friendly energy system.",

keywords = "Energy management strategy, Genetic algorithm, Hydrogen storage, Renewable energy sources",

author = "Babangida Modu and Abdullah, \{Md Pauzi\} and Abdulrahman Alkassem and Bukar, \{Abba Lawan\} and Zainal, \{Nur Hazirah\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE Conference on Energy Conversion, CENCON 2023 ; Conference date: 23-10-2023 Through 24-10-2023",

year = "2023",

doi = "10.1109/CENCON58932.2023.10369217",

language = "English",

series = "2023 IEEE Conference on Energy Conversion, CENCON 2023",

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Modu, B, Abdullah, MP, Alkassem, A, Bukar, AL & Zainal, NH 2023, Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm. in 2023 IEEE Conference on Energy Conversion, CENCON 2023. 2023 IEEE Conference on Energy Conversion, CENCON 2023, Institute of Electrical and Electronics Engineers Inc., pp. 35-40, 6th IEEE Conference on Energy Conversion, CENCON 2023, Kuching, Malaysia, 23/10/23. https://doi.org/10.1109/CENCON58932.2023.10369217

Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm. / Modu, Babangida; Abdullah, Md Pauzi; Alkassem, Abdulrahman et al.
2023 IEEE Conference on Energy Conversion, CENCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 35-40 (2023 IEEE Conference on Energy Conversion, CENCON 2023).

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

TY - GEN

T1 - Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm

AU - Modu, Babangida

AU - Abdullah, Md Pauzi

AU - Alkassem, Abdulrahman

AU - Bukar, Abba Lawan

AU - Zainal, Nur Hazirah

PY - 2023

Y1 - 2023

N2 - Generating electricity through a hybrid renewable energy system (HRES) is crucial for accomplishing one of the goals of sustainable development (SDG 7 - Affordable and Clean Energy). However, designing an optimal HRES is challenging due to the fluctuating demand and intermittent nature of renewable energy sources (RES). Recently, hybrid hydrogen-battery energy storage technologies have gained significant attention as a means to facilitate a sustainable and net-zero-emission HRES. This research paper introduces a rule-based algorithm and metaheuristic optimization technique known as Levy Flight Algorithm (LFA) for the energy management strategy (EMS) of an independent HRES. The EMS aims to establish a power delivery sequence for the various components within the microgrid, and subsequently, LFA is employed to optimize the EMS. To address the variability and unpredictability of renewable energy sources (RES), the proposed EMS is evaluated across four scenarios: winter, spring, summer, and autumn derived from a stochastic model of RES. The results demonstrate that the energy management strategy employed to control the HRES has successfully established an environmentally friendly energy system.

AB - Generating electricity through a hybrid renewable energy system (HRES) is crucial for accomplishing one of the goals of sustainable development (SDG 7 - Affordable and Clean Energy). However, designing an optimal HRES is challenging due to the fluctuating demand and intermittent nature of renewable energy sources (RES). Recently, hybrid hydrogen-battery energy storage technologies have gained significant attention as a means to facilitate a sustainable and net-zero-emission HRES. This research paper introduces a rule-based algorithm and metaheuristic optimization technique known as Levy Flight Algorithm (LFA) for the energy management strategy (EMS) of an independent HRES. The EMS aims to establish a power delivery sequence for the various components within the microgrid, and subsequently, LFA is employed to optimize the EMS. To address the variability and unpredictability of renewable energy sources (RES), the proposed EMS is evaluated across four scenarios: winter, spring, summer, and autumn derived from a stochastic model of RES. The results demonstrate that the energy management strategy employed to control the HRES has successfully established an environmentally friendly energy system.

KW - Energy management strategy

KW - Genetic algorithm

KW - Hydrogen storage

KW - Renewable energy sources

UR - https://www.scopus.com/pages/publications/85182949047

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DO - 10.1109/CENCON58932.2023.10369217

M3 - Conference contribution

AN - SCOPUS:85182949047

T3 - 2023 IEEE Conference on Energy Conversion, CENCON 2023

SP - 35

EP - 40

BT - 2023 IEEE Conference on Energy Conversion, CENCON 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Conference on Energy Conversion, CENCON 2023

Y2 - 23 October 2023 through 24 October 2023

ER -

Modu B, Abdullah MP, Alkassem A, Bukar AL, Zainal NH. Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm. In 2023 IEEE Conference on Energy Conversion, CENCON 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 35-40. (2023 IEEE Conference on Energy Conversion, CENCON 2023). doi: 10.1109/CENCON58932.2023.10369217

Operational Strategy of a Hybrid Renewable Energy System With Hydrogen-Battery Storage for Optimal Performance Using Levy Flight Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this