Hybrid Storage System Control Strategy for All-Electric Powered Ships

被引:28
|
作者
Balsamo, F. [1 ]
Capasso, C. [2 ]
Miccione, G. [3 ]
Veneri, O. [2 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Via Claudio 21, I-80125 Naples, Italy
[2] Natl Res Council Italy, Ist Motori, Via Marconi 4, I-80125 Naples, Italy
[3] Altran Italia SpA, AIT, Viale Impero 10, I-80038 Pomigliano Darco, Italy
关键词
All-electric ship; EDLC; Energy Management Strategy; Hybrid energy storage system; nonlinear programming; ENERGY MANAGEMENT STRATEGIES;
D O I
10.1016/j.egypro.2017.08.242
中图分类号
O414.1 [热力学];
学科分类号
摘要
In marine applications all-electric propulsion systems are employed on surface ships that are subjected to particular constraints, generally due to environmental restrictions. The technological advancement of electrochemical batteries, which are today characterized by higher capacity and efficiency, has widened their fields of application, although these storage systems require an accurate design to limit their initial and maintenance costs. In order to reduce battery charge and discharge peak currents, supercapacitor modules are generally adopted with the aim to extend batteries expected life. The proper management of energy fluxes within the hybrid architecture, and in particular among batteries, capacitors and loads requires a specific control, called EMS Energy Management Strategy. In this paper, a novel EMS, based on constrained minimization problem, is proposed and verified with reference to a case study of a waterbus operating in restricted waterways on different routes. The procedure is based on a preliminary solution of an off-line optimization with respect to a known mission profile. Hence, a real-time control strategy is properly evaluated, in order to guarantee robustness against the unavoidable uncertainties, which occur during the operating conditions. In the last part of the paper, a numerical application is presented with the purpose to emphasize the feasibility of the proposal. (C) 2017 The Authors. Published by Elsevier Ltd.
引用
下载
收藏
页码:1083 / 1090
页数:8
相关论文
共 50 条
  • [21] Flywheel Energy Storage System for electric start and an all-electric ship
    McGroarty, J
    Schmeller, J
    Hockney, R
    Polimeno, M
    2005 IEEE Electric Ship Technologies Symposium, 2005, : 400 - 406
  • [22] Shipboard power system control based on power fluctuation forecasting for photovoltaic penetrated all-electric ships
    Peng, Xiuyan
    Wang, Bo
    Su, Peng
    OCEANS 2022, 2022,
  • [23] Model predictive maneuvering control and energy management for all-electric autonomous ships
    Haseltalab, Ali
    Negenborn, Rudy R.
    APPLIED ENERGY, 2019, 251
  • [24] Model and Control of Naval Ship Power System by The Concept of All-Electric Ships Based on Renewable Energy
    Gaber, Mohab
    El-banna, S. H.
    Eldabah, Mahmoud
    Hamad, M. S.
    2019 21ST INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON 2019), 2019, : 1235 - 1240
  • [25] Power Electronics for All-Electric Ships with MVDC Power Distribution System: an Overview
    Castellan, Simone
    Menis, Roberto
    Tessarolo, Alberto
    Sulligoi, Giorgio
    2014 NINTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2014,
  • [26] Predictive Energy Management for MVDC All-Electric Ships
    Vu, Tuyen V.
    Gonsoulin, David
    Perkins, Dallas
    Diaz, Fernand
    Vahedi, Hesan
    Edrington, Chris S.
    2017 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM (ESTS), 2017, : 327 - 331
  • [27] Dependability analysis of cyber security in All-Electric Ships
    Vicenzutti, A.
    Colavitto, A.
    Chiandone, M.
    Sulligoi, G.
    2018 AEIT INTERNATIONAL ANNUAL CONFERENCE, 2018,
  • [28] Two-Stage Robust Voltage Control Strategy for Seaport Microgrids With Health-Aware All-Electric Ships
    Sun, Xianzhuo
    Qiu, Jing
    Tao, Yuechuan
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2024, 10 (02): : 3742 - 3755
  • [29] Flexible Voyage Scheduling and Coordinated Energy Management Strategy of All-Electric Ships and Seaport Microgrid
    Tao, Yuechuan
    Qiu, Jing
    Lai, Shuying
    Sun, Xianzhuo
    Zhao, Junhua
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (03) : 3211 - 3222
  • [30] All-electric braking system
    Bokulich, F
    AEROSPACE ENGINEERING, 1999, 19 (04) : 8 - 8