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Capacity Sizing of Embedded Control Battery–Supercapacitor Hybrid Energy Storage System

Author

Listed:
  • Noah Lee

    (Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia)

  • Chen Hon Nee

    (Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia)

  • Seong Shan Yap

    (Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia)

  • Kwong Keong Tham

    (School of Engineering and Computing, First City University College, Bandar Utama, Petaling Jaya 47800, Malaysia)

  • Ah Heng You

    (Faculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Malaysia)

  • Seong Ling Yap

    (Department of Physics, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Abdul Kariem Bin Mohd Arof

    (Department of Physics, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

A battery–supercapacitor hybrid energy storage system is investigated as a solution to reduce the high-power delivery stress on the battery. An optimally-sized system can further enhance the storage and cost efficiency. This paper discusses several possible problems in the sizing of a battery–supercapacitor hybrid energy storage system for practical applications. A sizing method that utilises data collected from a fully active embedded control hybrid energy system is proposed. The feasibility of the method is then tested on three load profiles that represent the load demand of inter- and intra-applications with a battery–supercapacitor hybrid energy storage system. The result is compared to a battery-only single energy storage system. The results verified that the number of batteries required in the hybrid energy storage system is reduced by at least 50% compared to the battery-only single energy storage system.

Suggested Citation

  • Noah Lee & Chen Hon Nee & Seong Shan Yap & Kwong Keong Tham & Ah Heng You & Seong Ling Yap & Abdul Kariem Bin Mohd Arof, 2022. "Capacity Sizing of Embedded Control Battery–Supercapacitor Hybrid Energy Storage System," Energies, MDPI, vol. 15(10), pages 1-14, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3783-:d:820593
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    References listed on IDEAS

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    1. Jacob, Ammu Susanna & Banerjee, Rangan & Ghosh, Prakash C., 2018. "Sizing of hybrid energy storage system for a PV based microgrid through design space approach," Applied Energy, Elsevier, vol. 212(C), pages 640-653.
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    4. Chia, Yen Yee & Lee, Lam Hong & Shafiabady, Niusha & Isa, Dino, 2015. "A load predictive energy management system for supercapacitor-battery hybrid energy storage system in solar application using the Support Vector Machine," Applied Energy, Elsevier, vol. 137(C), pages 588-602.
    5. Jing, Wenlong & Lai, Chean Hung & Wong, Wallace S.H. & Wong, M.L. Dennis, 2018. "A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification," Applied Energy, Elsevier, vol. 224(C), pages 340-356.
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    2. Fabio Corti & Antonino Laudani & Gabriele Maria Lozito & Martina Palermo & Michele Quercio & Francesco Pattini & Stefano Rampino, 2023. "Dynamic Analysis of a Supercapacitor DC-Link in Photovoltaic Conversion Applications," Energies, MDPI, vol. 16(16), pages 1-19, August.
    3. Djamila Rekioua & Khoudir Kakouche & Abdulrahman Babqi & Zahra Mokrani & Adel Oubelaid & Toufik Rekioua & Abdelghani Azil & Enas Ali & Ali H. Kasem Alaboudy & Saad A. Mohamed Abdelwahab, 2023. "Optimized Power Management Approach for Photovoltaic Systems with Hybrid Battery-Supercapacitor Storage," Sustainability, MDPI, vol. 15(19), pages 1-30, September.
    4. Pavlos Papageorgiou & Konstantinos Oureilidis & Anna Tsakiri & Georgios Christoforidis, 2023. "A Modified Decentralized Droop Control Method to Eliminate Battery Short-Term Operation in a Hybrid Supercapacitor/Battery Energy Storage System," Energies, MDPI, vol. 16(6), pages 1-21, March.

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