• DocumentCode
    183835
  • Title

    Mitigating power fluctuations in electrical ship propulsion using model predictive control with hybrid energy storage system

  • Author

    Jun Hou ; Jing Sun ; Hofmann, Heike

  • Author_Institution
    Dept. of Naval Archit. & Marine Eng. & the Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4366
  • Lastpage
    4371
  • Abstract
    Shipboard electric propulsion systems experience large power and torque fluctuations on their drive shaft due to propeller rotational motions and waves. This paper explores new solutions to address the fluctuations by integrating a hybrid energy storage system (HESS) and exploring coordinated power management. A propeller and ship dynamic model, which captures the underlying physical behavior, is established to support the control development and system optimization. Given the fact that both high and low frequency contents exist in the power fluctuations, a combination of battery pack and ultracapacitor bank is proposed, coordinated control is developed, and performance is evaluated in different sea conditions. Simulation results show that the proposed HESS with model predictive control provides substantial benefits in terms of reducing fluctuation and sustaining self-operation, compared to other solutions that involve batteries or ultracapacitors alone. Moreover, our analysis shows that the benefits of HESS are achievable only through both effective power management and device coordination.
  • Keywords
    electric propulsion; energy storage; power system management; power system reliability; predictive control; propellers; shafts; HESS; battery pack; coordinated power management; drive shaft; electrical ship propulsion; hybrid energy storage system; model predictive control; power fluctuations; propeller rotational motions; propeller rotational waves; shipboard electric propulsion systems; torque fluctuations; ultracapacitor bank; Batteries; Marine vehicles; Propellers; Sea state; Torque; Optimal control; Power systems; Predictive control for nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858803
  • Filename
    6858803