IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v253y2022ics0360544222010349.html
   My bibliography  Save this article

Configuration optimization and energy management of hybrid energy system for marine using quantum computing

Author

Listed:
  • Si, Yupeng
  • Wang, Rongjie
  • Zhang, Shiqi
  • Zhou, Wenting
  • Lin, Anhui
  • Zeng, Guangmiao

Abstract

Improving the technology of hybrid energy systems is an important development direction for the greening of ships, the configuration optimization and energy management of ship hybrid energy system is vital to enhance the marine electric power system reliability, economic efficiency, and sustainability. Focusing on this problem, this paper has carried out a study on the multi-objective configuration optimization method (COM) and energy management strategy (EMS) for ship hybrid energy system based on quantum computing. First, the mathematical model of distributed power modules of the hybrid energy system is established, and a configuration optimization objective function that aims at low-cost, long equipment life, and high reliability of power supply is constructed. Then, the combination with fuzzy rules and quantum multi-objective artificial bee colony algorithm to solve the objective function, the configuration scheme satisfying multiple constraints is obtained. On this basis, an energy management optimization objective function that meets both low-cost operation and maximum clean energy utilization for ship electric power system is established, the objective function is optimized in multi-objective quantum particle swarm optimization (QPSO) algorithm, and the real-time optimal scheduling for hybrid energy systems of the ship is realized. Experiments on simulative navigation data verify the feasibility of the multi-objective configuration optimization method using the quantum artificial bee colony (QABC) algorithm. Furthermore, energy management experiments with different strategies, experimental results show that the energy management strategy proposed in this paper outperforms other methods- and effectively reduces the operating costs, fuel costs, and pollutant emissions of marine power system, meeting the environmental requirements of the Energy Efficiency Operating Index (EEOI) for ships.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:253:y:2022:i:c:s0360544222010349
    DOI: 10.1016/j.energy.2022.124131
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222010349
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124131?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. 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).
    2. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian, 2017. "Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling," Energy, Elsevier, vol. 131(C), pages 165-178.
    3. 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.
    4. Balsamo, Flavio & Capasso, Clemente & Lauria, Davide & Veneri, Ottorino, 2020. "Optimal design and energy management of hybrid storage systems for marine propulsion applications," Applied Energy, Elsevier, vol. 278(C).
    5. 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.
    6. Bolbot, Victor & Trivyza, Nikoletta L. & Theotokatos, Gerasimos & Boulougouris, Evangelos & Rentizelas, Athanasios & Vassalos, Dracos, 2020. "Cruise ships power plant optimisation and comparative analysis," Energy, Elsevier, vol. 196(C).
    7. Zhu, Jianyun & Chen, Li & Wang, Bin & Xia, Lijuan, 2018. "Optimal design of a hybrid electric propulsive system for an anchor handling tug supply vessel," Applied Energy, Elsevier, vol. 226(C), pages 423-436.
    8. Tiezhou Wu & Xiao Shi & Li Liao & Chuanjian Zhou & Hang Zhou & Yuehong Su, 2019. "A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization," Energies, MDPI, vol. 12(4), pages 1-11, February.
    9. Pan, Pengcheng & Sun, Yuwei & Yuan, Chengqing & Yan, Xinping & Tang, Xujing, 2021. "Research progress on ship power systems integrated with new energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. 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.
    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. Asmita Ajay Rathod & Balaji Subramanian, 2022. "Scrutiny of Hybrid Renewable Energy Systems for Control, Power Management, Optimization and Sizing: Challenges and Future Possibilities," Sustainability, MDPI, vol. 14(24), pages 1-35, December.
    2. Seyam, Shaimaa & Dincer, Ibrahim & Agelin-Chaab, Martin, 2023. "Exergoeconomic and exergoenvironmental analyses of a potential marine engine powered by eco-friendly fuel blends with hydrogen," Energy, Elsevier, vol. 284(C).
    3. Zhe Chen & Zihan Sun & Da Lin & Zhihao Li & Jian Chen, 2024. "Optimal Configuration of Multi-Energy Storage in an Electric–Thermal–Hydrogen Integrated Energy System Considering Extreme Disaster Scenarios," Sustainability, MDPI, vol. 16(6), pages 1-25, March.
    4. Yang, Xu & Li, Hongru, 2023. "Multi-sample learning particle swarm optimization with adaptive crossover operation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 208(C), pages 246-282.
    5. Zhang, Tianhao & Dong, Zhe & Huang, Xiaojin, 2024. "Multi-objective optimization of thermal power and outlet steam temperature for a nuclear steam supply system with deep reinforcement learning," Energy, Elsevier, vol. 286(C).

    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. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    2. Huang, Jiangfan & An, Qing & Zhou, Mingyu & Tang, Ruoli & Dong, Zhengcheng & Lai, Jingang & Li, Xin & Yang, Xiangguo, 2024. "A self-adaptive joint optimization framework for marine hybrid energy storage system design considering load fluctuation characteristics," Applied Energy, Elsevier, vol. 361(C).
    3. Sun, Xiaojun & Yao, Chong & Song, Enzhe & Liu, Zhijiang & Ke, Yun & Ding, Shunliang, 2023. "Novel enhancement of energy distribution for marine hybrid propulsion systems by an advanced variable weight decision model predictive control," Energy, Elsevier, vol. 274(C).
    4. 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).
    5. Inal, Omer Berkehan & Charpentier, Jean-Frédéric & Deniz, Cengiz, 2022. "Hybrid power and propulsion systems for ships: Current status and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. Sun, Xiaojun & Yao, Chong & Song, Enzhe & Yang, Qidong & Yang, Xuchang, 2022. "Optimal control of transient processes in marine hybrid propulsion systems: Modeling, optimization and performance enhancement," Applied Energy, Elsevier, vol. 321(C).
    7. 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.
    8. Maja Perčić & Nikola Vladimir & Marija Koričan, 2021. "Electrification of Inland Waterway Ships Considering Power System Lifetime Emissions and Costs," Energies, MDPI, vol. 14(21), pages 1-25, October.
    9. Xu, Lijie & Ji, Jie & Yuan, Chengqing & Cai, Jingyong & Dai, Leyang, 2023. "Electrical and thermal performance of multidimensional semi-transparent CdTe PV window on offshore passenger ships in moored and sailing condition," Applied Energy, Elsevier, vol. 349(C).
    10. 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.
    11. Zhu, Jianyun & Chen, Li & Wang, Xuefeng & Yu, Long, 2020. "Bi-level optimal sizing and energy management of hybrid electric propulsion systems," Applied Energy, Elsevier, vol. 260(C).
    12. Wang, Tingsong & Cheng, Peiyue & Zhen, Lu, 2023. "Green development of the maritime industry: Overview, perspectives, and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    13. Latif, Abdul & Hussain, S. M. Suhail & Das, Dulal Chandra & Ustun, Taha Selim, 2021. "Double stage controller optimization for load frequency stabilization in hybrid wind-ocean wave energy based maritime microgrid system," Applied Energy, Elsevier, vol. 282(PA).
    14. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).
    15. Liu, Hongda & Zhang, Qing & Qi, Xiaoxia & Han, Yang & Lu, Fang, 2017. "Estimation of PV output power in moving and rocking hybrid energy marine ships," Applied Energy, Elsevier, vol. 204(C), pages 362-372.
    16. Jeong, Byongug & Oguz, Elif & Wang, Haibin & Zhou, Peilin, 2018. "Multi-criteria decision-making for marine propulsion: Hybrid, diesel electric and diesel mechanical systems from cost-environment-risk perspectives," Applied Energy, Elsevier, vol. 230(C), pages 1065-1081.
    17. Chai, Merlin & Bonthapalle, Dastagiri Reddy & Sobrayen, Lingeshwaren & Panda, Sanjib K. & Wu, Die & Chen, XiaoQing, 2018. "Alternating current and direct current-based electrical systems for marine vessels with electric propulsion drives," Applied Energy, Elsevier, vol. 231(C), pages 747-756.
    18. 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).
    19. 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.
    20. 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.

    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:253:y:2022:i:c:s0360544222010349. 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.