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Review of Dynamic Positioning Control in Maritime Microgrid Systems

Author

Listed:
  • Mojtaba Mehrzadi

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Yacine Terriche

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Chun-Lien Su

    (Department of Marine Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City 80543, Taiwan)

  • Muzaidi Bin Othman

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Juan C. Vasquez

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Josep M. Guerrero

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

Abstract

For many offshore activities, including offshore oil and gas exploration and offshore wind farm construction, it is essential to keep the position and heading of the vessel stable. The dynamic positioning system is a progressive technology, which is extensively used in shipping and other maritime structures. To maintain the vessels or platforms from displacement, its thrusters are used automatically to control and stabilize the position and heading of vessels in sea state disturbances. The theory of dynamic positioning has been studied and developed in terms of control techniques to achieve greater accuracy and reduce ship movement caused by environmental disturbance for more than 30 years. This paper reviews the control strategies and architecture of the DPS in marine vessels. In addition, it suggests possible control principles and makes a comparison between the advantages and disadvantages of existing literature. Some details for future research on DP control challenges are discussed in this paper.

Suggested Citation

  • Mojtaba Mehrzadi & Yacine Terriche & Chun-Lien Su & Muzaidi Bin Othman & Juan C. Vasquez & Josep M. Guerrero, 2020. "Review of Dynamic Positioning Control in Maritime Microgrid Systems," Energies, MDPI, vol. 13(12), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3188-:d:373738
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    References listed on IDEAS

    as
    1. Kalogirou, Soteris A., 2001. "Artificial neural networks in renewable energy systems applications: a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(4), pages 373-401, December.
    2. 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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    Cited by:

    1. Jarosław Artyszuk & Paweł Zalewski, 2021. "Energy Savings by Optimization of Thrusters Allocation during Complex Ship Manoeuvres," Energies, MDPI, vol. 14(16), pages 1-19, August.
    2. Peddakapu, K. & Mohamed, M.R. & Srinivasarao, P. & Licari, J., 2024. "Optimized controllers for stabilizing the frequency changes in hybrid wind-photovoltaic-wave energy-based maritime microgrid systems," Applied Energy, Elsevier, vol. 361(C).
    3. Andrzej Łebkowski & Jakub Wnorowski, 2021. "A Comparative Analysis of Energy Consumption by Conventional and Anchor Based Dynamic Positioning of Ship," Energies, MDPI, vol. 14(3), pages 1-26, January.

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