Ship energy management for hybrid propulsion and power supply with shore charging

被引:98
|
作者
Kalikatzarakis, M. [1 ]
Geertsma, R. D. [1 ,2 ]
Boonen, E. J. [3 ]
Visser, K. [1 ,2 ]
Negenborn, R. R. [1 ]
机构
[1] Delft Univ Technol, Dept Maritime & Transport Technol, Delft, Netherlands
[2] Netherlands Def Acad, Fac Mil Sci, Utrecht, Netherlands
[3] Damen Shipyards Grp, Gorinchem, Netherlands
关键词
Energy management systems; Propulsion control; Hybrid vehicles; Marine systems; Energy storage; Ship control; LITHIUM-ION BATTERIES; ALL-ELECTRIC SHIPS; CONTROL STRATEGIES; SUPERVISORY CONTROL; SYSTEM; VEHICLE; DESIGN; DC; IMPLEMENTATION; PERFORMANCE;
D O I
10.1016/j.conengprac.2018.04.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Hybrid technology in marine vehicles can significantly reduce fuel consumption and local CO2 emissions. It has been applied successfully to several ship-types, mostly with conventional, rule-based, strategies. To further improve performance, intelligent control strategies are necessary. This work, inspired by automotive research in Energy Management Strategies, applies the Equivalent Consumption Minimisation Strategy (ECMS) to a ship powered by a hybrid propulsion plant with hybrid power supply that can be recharged with renewable shore power. This hybrid configuration has the additional challenge to determine the optimal power-split between three or more different power sources, in real-time, and to optimally deplete the battery packs over the mission profile. To this end, a Mixed-Integer Non-Linear optimisation Problem is formulated and solved by combining Branch & Bound and Convex optimisation. Dynamic Programming (DP) is used to benchmark the real-time strategies, which are also compared to the current rule-based (RB) controller. Simulation results of a case study tugboat with validated models show that, with unknown load demand, 6% additional fuel savings can be achieved with ECMS.
引用
收藏
页码:133 / 154
页数:22
相关论文
共 50 条
  • [1] Predictive power-split system of hybrid ship propulsion for energy management and emissions reduction
    Planakis, Nikolaos
    Papalambrou, George
    Kyrtatos, Nikolaos
    [J]. CONTROL ENGINEERING PRACTICE, 2021, 111
  • [2] Overview of Wireless Charging System for Ship Shore Power
    Yu, Chunlai
    Wang, Zhikai
    Zhu, Hao
    Zhu, Jinda
    Liu, Yancheng
    Liu, Siyuan
    Zhang, Qinjin
    Guo, Haohao
    [J]. PROCEEDINGS OF 2023 INTERNATIONAL CONFERENCE ON WIRELESS POWER TRANSFER, VOL 1, ICWPT 2023, 2024, 1158 : 398 - 407
  • [3] Shore-to-Ship Power Supply System For a Cruise Ship
    Paul, Dev P. E.
    Haddian, Vahik
    [J]. 2009 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2009, : 644 - +
  • [4] A Charging Management System for Multi-Vessel Shore-to-Ship Charging Systems by Hybrid dynamical systems
    Karimi, Siamak
    Zadeh, Mehdi
    Suul, Jon Are
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2022,
  • [5] Multi-Objective Optimal Scheduling of a Hybrid Ferry with Shore-to-Ship Power Supply Considering Energy Storage Degradation
    Hein, Kyaw
    Yan, Xu
    Wilson, Gary
    [J]. ELECTRONICS, 2020, 9 (05)
  • [6] Shore Power Optimal Scheduling Based on Gridding of Hybrid Energy Supply System
    Xia, Dunzhu
    He, Jiali
    Chi, Fuhai
    Dou, Zhenlan
    Yang, Zhongguang
    Liu, Cheng
    [J]. SUSTAINABILITY, 2022, 14 (23)
  • [7] Intelligent Power Management for the Hybrid Energy Storage of the Ship Power System
    Faddel, Samy
    El Hariri, Mohamad
    Saad, Ahmed A.
    Mohammed, Osama
    [J]. 2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
  • [8] Power Control Strategy Optimization to Improve Energy Efficiency of the Hybrid Electric Propulsion Ship
    Hong, Soon Ho
    Kim, Dong Min
    Kim, Sun Je
    [J]. IEEE ACCESS, 2024, 12 : 22534 - 22545
  • [9] SHIP OR SHORE POWER
    DAVIS, W
    [J]. SEA TECHNOLOGY, 1981, 22 (04) : 59 - 59
  • [10] Evaluation of Energy Transfer Efficiency for Shore-to-Ship Fast Charging Systems
    Karimi, Siamak
    Zadeh, Mehdi
    Suul, Jon Are
    [J]. 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2020, : 1271 - 1277