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Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship

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  • Chen, Hui
  • Zhang, Zehui
  • Guan, Cong
  • Gao, Haibo

Abstract

The fuel cell is generally coupled with the hybrid energy storage system (HESS) to improve power system dynamic performance and prolong the fuel cell lifetime. Therefore, the sizing of HESS and design of energy management strategy (EMS) have already become key research points. Based on support vector machine and frequency control, a novel EMS is proposed. As the sizing of HESS and the design of energy management strategy have a strong inner link, a multi-objective optimization method for the HESS and EMS is proposed. After that, simulations are used to compare the performance of the optimal hybrid power system. Compared with the different hybrid power system structures, the optimal HESS can meet power demand and reduce the cost of the energy storage device. Compared with the rule-based energy management strategy, the energy consumption of the optimal hybrid power system reduces 5.4%, and improves power quality and prolongs the device life. The results indicate that the proposed method can achieve excellent performance and is easily applied.

Suggested Citation

  • Chen, Hui & Zhang, Zehui & Guan, Cong & Gao, Haibo, 2020. "Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship," Energy, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:energy:v:197:y:2020:i:c:s0360544220303923
    DOI: 10.1016/j.energy.2020.117285
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    as
    1. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    2. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    3. Hoppmann, Joern & Volland, Jonas & Schmidt, Tobias S. & Hoffmann, Volker H., 2014. "The economic viability of battery storage for residential solar photovoltaic systems – A review and a simulation model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1101-1118.
    4. Diab, Fahd & Lan, Hai & Ali, Salwa, 2016. "Novel comparison study between the hybrid renewable energy systems on land and on ship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 452-463.
    5. Zhang, Shuo & Xiong, Rui & Cao, Jiayi, 2016. "Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system," Applied Energy, Elsevier, vol. 179(C), pages 316-328.
    6. Nyong-Bassey, Bassey Etim & Giaouris, Damian & Patsios, Charalampos & Papadopoulou, Simira & Papadopoulos, Athanasios I. & Walker, Sara & Voutetakis, Spyros & Seferlis, Panos & Gadoue, Shady, 2020. "Reinforcement learning based adaptive power pinch analysis for energy management of stand-alone hybrid energy storage systems considering uncertainty," Energy, Elsevier, vol. 193(C).
    7. Jingang Han & Jean-Frederic Charpentier & Tianhao Tang, 2014. "An Energy Management System of a Fuel Cell/Battery Hybrid Boat," Energies, MDPI, vol. 7(5), pages 1-22, April.
    8. 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.
    9. Aktas, Ahmet & Erhan, Koray & Özdemir, Sule & Özdemir, Engin, 2018. "Dynamic energy management for photovoltaic power system including hybrid energy storage in smart grid applications," Energy, Elsevier, vol. 162(C), pages 72-82.
    10. Du, Jiuyu & Zhang, Xiaobin & Wang, Tianze & Song, Ziyou & Yang, Xueqing & Wang, Hewu & Ouyang, Minggao & Wu, Xiaogang, 2018. "Battery degradation minimization oriented energy management strategy for plug-in hybrid electric bus with multi-energy storage system," Energy, Elsevier, vol. 165(PA), pages 153-163.
    11. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Development of energy management system based on a rule-based power distribution strategy for hybrid power sources," Energy, Elsevier, vol. 175(C), pages 1055-1066.
    12. Yupeng Yuan & Tianding Zhang & Boyang Shen & Xinping Yan & Teng Long, 2018. "A Fuzzy Logic Energy Management Strategy for a Photovoltaic/Diesel/Battery Hybrid Ship Based on Experimental Database," Energies, MDPI, vol. 11(9), pages 1-15, August.
    13. Linssen, Jochen & Stenzel, Peter & Fleer, Johannes, 2017. "Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles," Applied Energy, Elsevier, vol. 185(P2), pages 2019-2025.
    14. Dufo-López, Rodolfo & Lujano-Rojas, Juan M. & Bernal-Agustín, José L., 2014. "Comparison of different lead–acid battery lifetime prediction models for use in simulation of stand-alone photovoltaic systems," Applied Energy, Elsevier, vol. 115(C), pages 242-253.
    15. Geertsma, R.D. & Negenborn, R.R. & Visser, K. & Hopman, J.J., 2017. "Design and control of hybrid power and propulsion systems for smart ships: A review of developments," Applied Energy, Elsevier, vol. 194(C), pages 30-54.
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    17. Nguyễn, Bảo-Huy & Vo-Duy, Thanh & Henggeler Antunes, Carlos & Trovão, João Pedro F., 2021. "Multi-objective benchmark for energy management of dual-source electric vehicles: An optimal control approach," Energy, Elsevier, vol. 223(C).
    18. Ouyang, Tiancheng & Zhao, Zhongkai & Zhang, Mingliang & Xie, Shutao & Wang, Zhiping, 2022. "A micro off-grid power solution for solid oxide fuel cell waste heat reusing enabled peak load shifting by integrating compressed-air energy storage," Applied Energy, Elsevier, vol. 323(C).
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    20. Thomas Jarry & Fabien Lacressonnière & Amine Jaafar & Christophe Turpin & Marion Scohy, 2021. "Modeling and Sizing of a Fuel Cell—Lithium-Ion Battery Direct Hybridization System for Aeronautical Application," Energies, MDPI, vol. 14(22), pages 1-16, November.

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