IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v140y2017ip1p198-208.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421731407X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2017.08.065?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    2. Lubitz, William David, 2011. "Effect of manual tilt adjustments on incident irradiance on fixed and tracking solar panels," Applied Energy, Elsevier, vol. 88(5), pages 1710-1719, May.
    3. Locatelli, Giorgio & Palerma, Emanuele & Mancini, Mauro, 2015. "Assessing the economics of large Energy Storage Plants with an optimisation methodology," Energy, Elsevier, vol. 83(C), pages 15-28.
    4. Athari, M.H. & Ardehali, M.M., 2016. "Operational performance of energy storage as function of electricity prices for on-grid hybrid renewable energy system by optimized fuzzy logic controller," Renewable Energy, Elsevier, vol. 85(C), pages 890-902.
    5. Opitz, A. & Badami, P. & Shen, L. & Vignarooban, K. & Kannan, A.M., 2017. "Can Li-Ion batteries be the panacea for automotive applications?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 685-692.
    6. Ma, Tao & Yang, Hongxing & Lu, Lin, 2015. "Development of hybrid battery–supercapacitor energy storage for remote area renewable energy systems," Applied Energy, Elsevier, vol. 153(C), pages 56-62.
    7. Hannan, M.A. & Hoque, M.M. & Mohamed, A. & Ayob, A., 2017. "Review of energy storage systems for electric vehicle applications: Issues and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 771-789.
    8. Ansari, Amir Babak & Esfahanian, Vahid & Torabi, Farschad, 2016. "Discharge, rest and charge simulation of lead-acid batteries using an efficient reduced order model based on proper orthogonal decomposition," Applied Energy, Elsevier, vol. 173(C), pages 152-167.
    9. Lan, Hai & Wen, Shuli & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun, 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system," Applied Energy, Elsevier, vol. 158(C), pages 26-34.
    10. Ahadi, Amir & Kang, Sang-Kyun & Lee, Jang-Ho, 2016. "A novel approach for optimal combinations of wind, PV, and energy storage system in diesel-free isolated communities," Applied Energy, Elsevier, vol. 170(C), pages 101-115.
    11. Chong, Lee Wai & Wong, Yee Wan & Rajkumar, Rajprasad Kumar & Rajkumar, Rajpartiban Kumar & Isa, Dino, 2016. "Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 174-189.
    12. Li, Jianwei & Wang, Xudong & Zhang, Zhenyu & Le Blond, Simon & Yang, Qingqing & Zhang, Min & Yuan, Weijia, 2017. "Analysis of a new design of the hybrid energy storage system used in the residential m-CHP systems," Applied Energy, Elsevier, vol. 187(C), pages 169-179.
    13. Koussa, M. & Cheknane, A. & Hadji, S. & Haddadi, M. & Noureddine, S., 2011. "Measured and modelled improvement in solar energy yield from flat plate photovoltaic systems utilizing different tracking systems and under a range of environmental conditions," Applied Energy, Elsevier, vol. 88(5), pages 1756-1771, May.
    14. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
    15. Lund, H. & Mathiesen, B.V., 2009. "Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050," Energy, Elsevier, vol. 34(5), pages 524-531.
    16. Abbassi, Abdelkader & Dami, Mohamed Ali & Jemli, Mohamed, 2017. "A statistical approach for hybrid energy storage system sizing based on capacity distributions in an autonomous PV/Wind power generation system," Renewable Energy, Elsevier, vol. 103(C), pages 81-93.
    17. Sun, Li & Zhang, Nong, 2015. "Design, implementation and characterization of a novel bi-directional energy conversion system on DC motor drive using super-capacitors," Applied Energy, Elsevier, vol. 153(C), pages 101-111.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yin, He & Yang, Mao-sen & Lan, Hai & Hong, Ying-Yi & Guo, Dong & Jin, Feng, 2024. "A hybrid graph attention network based method for interval prediction of shipboard solar irradiation," Energy, Elsevier, vol. 298(C).
    2. 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.
    3. Nuchturee, Chalermkiat & Li, Tie & Xia, Hongpu, 2020. "Energy efficiency of integrated electric propulsion for ships – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    4. 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).
    5. Liu, Shuai & Wei, Li & Wang, Huai, 2020. "Review on reliability of supercapacitors in energy storage applications," Applied Energy, Elsevier, vol. 278(C).
    6. 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).
    7. Yin, He & Wu, Jinghu & Zhang, Gang & Lan, Hai & Hong, Ying-Yi & Li, Dan, 2024. "Variable time-scale power scheduling of a River-Sea going renewable energy ship considering coupling variations in all-electric propulsion," Applied Energy, Elsevier, vol. 374(C).
    8. 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.
    9. 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.
    10. 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.
    11. Al-Falahi, Monaaf D.A. & Jayasinghe, Shantha D.G. & Enshaei, Hossein, 2019. "Hybrid algorithm for optimal operation of hybrid energy systems in electric ferries," Energy, Elsevier, vol. 187(C).
    12. 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).
    13. 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.
    14. Wanneng Yu & Suwen Li & Yonghuai Zhu & Cheng-Fu Yang, 2019. "Management and Distribution Strategies for Dynamic Power in a Ship’s Micro-Grid System Based on Photovoltaic Cell, Diesel Generator, and Lithium Battery," Energies, MDPI, vol. 12(23), pages 1-18, November.
    15. 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).
    16. 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).
    17. Muhammad Umair Mutarraf & Yacine Terriche & Kamran Ali Khan Niazi & Fawad Khan & Juan C. Vasquez & Josep M. Guerrero, 2019. "Control of Hybrid Diesel/PV/Battery/Ultra-Capacitor Systems for Future Shipboard Microgrids," Energies, MDPI, vol. 12(18), pages 1-23, September.
    18. 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.
    19. 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.
    20. 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).
    21. 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.
    22. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. He, Yi & Guo, Su & Dong, Peixin & Wang, Chen & Huang, Jing & Zhou, Jianxu, 2022. "Techno-economic comparison of different hybrid energy storage systems for off-grid renewable energy applications based on a novel probabilistic reliability index," Applied Energy, Elsevier, vol. 328(C).
    2. Adefarati, T. & Bansal, R.C., 2017. "Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources," Applied Energy, Elsevier, vol. 206(C), pages 911-933.
    3. Xu, Xiao & Hu, Weihao & Cao, Di & Liu, Wen & Huang, Qi & Hu, Yanting & Chen, Zhe, 2021. "Enhanced design of an offgrid PV-battery-methanation hybrid energy system for power/gas supply," Renewable Energy, Elsevier, vol. 167(C), pages 440-456.
    4. Muhammad Khalid, 2019. "A Review on the Selected Applications of Battery-Supercapacitor Hybrid Energy Storage Systems for Microgrids," Energies, MDPI, vol. 12(23), pages 1-34, November.
    5. Tang, Ruoli & Li, Xin & Lai, Jingang, 2018. "A novel optimal energy-management strategy for a maritime hybrid energy system based on large-scale global optimization," Applied Energy, Elsevier, vol. 228(C), pages 254-264.
    6. Wen, Shuli & Lan, Hai & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun & Cheng, Peng, 2016. "Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system," Applied Energy, Elsevier, vol. 175(C), pages 158-167.
    7. Li, Jianwei & Xiong, Rui & Mu, Hao & Cornélusse, Bertrand & Vanderbemden, Philippe & Ernst, Damien & Yuan, Weijia, 2018. "Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime," Applied Energy, Elsevier, vol. 218(C), pages 470-478.
    8. Talent, Orlando & Du, Haiping, 2018. "Optimal sizing and energy scheduling of photovoltaic-battery systems under different tariff structures," Renewable Energy, Elsevier, vol. 129(PA), pages 513-526.
    9. Si, Yupeng & Wang, Rongjie & Zhang, Shiqi & Zhou, Wenting & Lin, Anhui & Zeng, Guangmiao, 2022. "Configuration optimization and energy management of hybrid energy system for marine using quantum computing," Energy, Elsevier, vol. 253(C).
    10. Kim, Myungchin & Bae, Sungwoo, 2017. "Decentralized control of a scalable photovoltaic (PV)-battery hybrid power system," Applied Energy, Elsevier, vol. 188(C), pages 444-455.
    11. Jie Ji & Xin Xia & Wei Ni & Kailiang Teng & Chunqiong Miao & Yaodong Wang & Tony Roskilly, 2019. "An Experimental and Simulation Study on Optimisation of the Operation of a Distributed Power Generation System with Energy Storage—Meeting Dynamic Household Electricity Demand," Energies, MDPI, vol. 12(6), pages 1-16, March.
    12. Trocino, Stefano & Lo Faro, Massimiliano & Zignani, Sabrina Campagna & Antonucci, Vincenzo & Aricò, Antonino Salvatore, 2019. "High performance solid-state iron-air rechargeable ceramic battery operating at intermediate temperatures (500–650 °C)," Applied Energy, Elsevier, vol. 233, pages 386-394.
    13. Alessandro Serpi & Mario Porru & Alfonso Damiano, 2017. "An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids," Energies, MDPI, vol. 10(11), pages 1-21, November.
    14. Yuan, Yupeng & Wang, Jixiang & Yan, Xinping & Li, Qing & Long, Teng, 2018. "A design and experimental investigation of a large-scale solar energy/diesel generator powered hybrid ship," Energy, Elsevier, vol. 165(PA), pages 965-978.
    15. Chong, Lee Wai & Wong, Yee Wan & Rajkumar, Rajprasad Kumar & Rajkumar, Rajpartiban Kumar & Isa, Dino, 2016. "Hybrid energy storage systems and control strategies for stand-alone renewable energy power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 174-189.
    16. Şenpinar, Ahmet & Cebeci, Mehmet, 2012. "Evaluation of power output for fixed and two-axis tracking PVarrays," Applied Energy, Elsevier, vol. 92(C), pages 677-685.
    17. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    18. Park, Chybyung & Jeong, Byongug & Zhou, Peilin & Jang, Hayoung & Kim, Seongwan & Jeon, Hyeonmin & Nam, Dong & Rashedi, Ahmad, 2022. "Live-Life cycle assessment of the electric propulsion ship using solar PV," Applied Energy, Elsevier, vol. 309(C).
    19. Zhang, Yijie & Ma, Tao & Yang, Hongxing, 2022. "Grid-connected photovoltaic battery systems: A comprehensive review and perspectives," Applied Energy, Elsevier, vol. 328(C).
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:198-208. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.