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Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis

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  • Wen, Shuli
  • Lan, Hai
  • Yu, David. C.
  • Fu, Qiang
  • Hong, Ying-Yi
  • Yu, Lijun
  • Yang, Ruirui

Abstract

Owing to the increasing concerns about the release of pollution by traditional ships, the use of the renewable energy in ships' power systems is attracting much attention. However, an improperly designed renewable generation system and energy storage system (ESS) will increase costs and greenhouse gas emissions. This paper proposes a mathematical model of a photovoltaic (PV) power generation system for a ship, taking into account the effects of ship rolling. A PV system on the shipboard, unlike one on land, has to confront dramatic power fluctuations that are caused by the motions of the ship and bad weather, so hybrid ESSs play a significant role in a ship's power system. In this work, the discrete Fourier transform (DFT) is employed to decompose the required balancing power into various time-varying periodic components, which are utilized to calculate the maximum required power of the hybrid energy storage systems. A cost analysis is performed using particle swarm optimization (PSO) algorithm to optimize the size and capacity of various types of energy storage systems. Simulation results reveal the efficiency of the optimal allocation of the ESSs.

Suggested Citation

  • Wen, Shuli & Lan, Hai & Yu, David. C. & Fu, Qiang & Hong, Ying-Yi & Yu, Lijun & Yang, Ruirui, 2017. "Optimal sizing of hybrid energy storage sub-systems in PV/diesel ship power system using frequency analysis," Energy, Elsevier, vol. 140(P1), pages 198-208.
    • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:198-208
    DOI: 10.1016/j.energy.2017.08.065
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    Cited by:

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    6. Luta, Doudou N. & Raji, Atanda K., 2019. "Optimal sizing of hybrid fuel cell-supercapacitor storage system for off-grid renewable applications," Energy, Elsevier, vol. 166(C), pages 530-540.
    7. Xu, Xiao & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system," Renewable Energy, Elsevier, vol. 147(P1), pages 1418-1431.
    8. Guoling Wang & Xu Liu & Zhenyu Li & Shunxiao Xu & Zhe Chen, 2018. "An Adaptive Grid Voltage/Frequency Tracking Method Based on SOGIs on a Shipboard PV–Diesel-Battery Hybrid Power System," Energies, MDPI, vol. 11(4), pages 1-20, March.
    9. Qiongjie Dai & Jicheng Liu & Qiushuang Wei, 2019. "Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Station Design Based on Multi-Agent Particle Swarm Optimization Algorithm," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
    10. Wen, Jiaxin & Bu, Siqi & Li, Fangxing & Du, Pengwei, 2021. "Risk assessment and mitigation on area-level RoCoF for operational planning," Energy, Elsevier, vol. 228(C).
    11. Laird, Cary & Kang, Ziliang & James, Kai A. & Alleyne, Andrew G., 2022. "Framework for integrated plant and control optimization of electro-thermal systems: An energy storage system case study," Energy, Elsevier, vol. 258(C).
    12. Chao Ma & Sen Dong & Jijian Lian & Xiulan Pang, 2019. "Multi-Objective Sizing of Hybrid Energy Storage System for Large-Scale Photovoltaic Power Generation System," Sustainability, MDPI, vol. 11(19), pages 1-15, October.
    13. Ramzi Saidi & Jean-Christophe Olivier & Mohamed Machmoum & Eric Chauveau, 2021. "Cascaded Centered Moving Average Filters for Energy Management in Multisource Power Systems with a Large Number of Devices," Energies, MDPI, vol. 14(12), pages 1-21, June.
    14. Xu, Fangqiu & Liu, Jicheng & Lin, Shuaishuai & Dai, Qiongjie & Li, Cunbin, 2018. "A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: A case study in China," Energy, Elsevier, vol. 163(C), pages 585-603.
    15. Yuan, Yupeng & Wang, Jixiang & Yan, Xinping & Shen, Boyang & Long, Teng, 2020. "A review of multi-energy hybrid power system for ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    16. Rui Yang & Yupeng Yuan & Rushun Ying & Boyang Shen & Teng Long, 2020. "A Novel Energy Management Strategy for a Ship’s Hybrid Solar Energy Generation System Using a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 13(6), pages 1-14, March.
    17. Xu, Lei & Wen, Yintang & Luo, Xiaoyuan & Lu, Zhigang & Guan, Xinping, 2022. "A modified power management algorithm with energy efficiency and GHG emissions limitation for hybrid power ship system," Applied Energy, Elsevier, vol. 317(C).
    18. Xie, Peilin & Tan, Sen & Bazmohammadi, Najmeh & Guerrero, Josep. M. & Vasquez, Juan. C. & Alcala, Jose Matas & Carreño, Jorge El Mariachet, 2022. "A distributed real-time power management scheme for shipboard zonal multi-microgrid system," Applied Energy, Elsevier, vol. 317(C).
    19. Mohamed, Mohamed A. & Chabok, Hossein & Awwad, Emad Mahrous & El-Sherbeeny, Ahmed M. & Elmeligy, Mohammed A. & Ali, Ziad M., 2020. "Stochastic and distributed scheduling of shipboard power systems using MθFOA-ADMM," Energy, Elsevier, vol. 206(C).
    20. Buonomano, Annamaria & Calise, Francesco & d'Accadia, Massimo Dentice & Vicidomini, Maria, 2018. "A hybrid renewable system based on wind and solar energy coupled with an electrical storage: Dynamic simulation and economic assessment," Energy, Elsevier, vol. 155(C), pages 174-189.

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