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Optimal Active Power Management in All Electric Ship Employing DC Grid Technology

In: Operational Research in Business and Economics

Author

Listed:
  • Fotis D. Kanellos

    (Technical University of Crete)

  • John Prousalidis

    (National Technical University of Athens, Zografos)

  • George J. Tsekouras

    (Hellenic Naval Academy)

Abstract

Extensive electrification and the use of dc distribution grid are recently proved to be very promising technologies for the development of more efficient and environmentally friendly ships. Onboard dc grids present several advantages such as, improved efficiency, easy integration of different types of power sources, reduced size and rating of switchboard, elimination of reactive power flow, increased reconfiguration capability etc. All electric ship (AES) concept, dc distribution grid and optimal power management can lead to a substantial improvement of ship efficiency and compliance with the environmental constraints. In this paper, a method for optimal demand side management and power generation scheduling is proposed for AES employing dc grid. Demand side management is based on the adjustment of the power consumed by ship electric propulsion motors. Dynamic programming algorithm subject to operation, environmental and travel constraints is used to solve the above problem.

Suggested Citation

  • Fotis D. Kanellos & John Prousalidis & George J. Tsekouras, 2017. "Optimal Active Power Management in All Electric Ship Employing DC Grid Technology," Springer Proceedings in Business and Economics, in: Evangelos Grigoroudis & Michael Doumpos (ed.), Operational Research in Business and Economics, pages 271-284, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-33003-7_14
    DOI: 10.1007/978-3-319-33003-7_14
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    Cited by:

    1. Nivolianiti, Evaggelia & Karnavas, Yannis L. & Charpentier, Jean-Frederic, 2024. "Energy management of shipboard microgrids integrating energy storage systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    2. Xin Peng & Hui Chen & Cong Guan, 2023. "Energy Management Optimization of Fuel Cell Hybrid Ship Based on Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 16(3), pages 1-15, January.

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