Distributed stochastic energy management for ship integrated energy system with uncertain load demand

被引:0
|
作者
Teng, Fei [1 ]
Ban, Zixiao [1 ]
Li, Tieshan [2 ,3 ]
Shan, Qihe [3 ]
Li, Yushuai [4 ]
机构
[1] Dalian Maritime Univ, Coll Marine Elect Engn, Dalian 116026, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
[3] Dalian Maritime Univ, Nav Coll, Dalian 116026, Liaoning, Peoples R China
[4] Aalborg Univ, Dept Comp Sci, DK-9220 Aalborg, Denmark
基金
中国国家自然科学基金;
关键词
Ship integrated energy system; Energy management; Uncertain load demand; Distributed stochastic optimization;
D O I
10.1016/j.oceaneng.2024.119293
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Under complex sea conditions, the energy demand for each device of renewable-energy ships presents a random situation, which makes the complex energy demand of the ship integrated energy system (SIES) uncertain during ship navigation. To ensure the economical, stable, and efficient operation of the SIES, this paper proposes a distributed stochastic energy management method to solve the energy management problem (EMP). Firstly, a framework for the SIES including both renewable energy and traditional energy is constructed. Based on the energy efficiency operation index (EEOI) and the operation mode of energy supply devices during navigation, the EMP of the SIES is raised. Then, considering the distributed structure and limited computing resources of the SIES, a distributed stochastic energy management method is proposed. Through this method, the disturbances of load demand can be effectively suppressed, and a stable energy supply is provided for devices such as power propellers. Furthermore, it is analyzed that the proposed method can converge to the O(7) ( 7 ) (7 is the fixed step size of the proposed method) neighborhood of the optimal energy management decision in the mean-square-error sense. Finally, the simulation results verify that the mean-square-error-optimal energy management decision of the SIES can be obtained by the proposed method in different scenarios, and the proposed method can solve the EMP of SIES under complex sea conditions.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Robust Optimal Allocation of Energy Storage in Integrated Energy System Considering Demand Response of Air Conditioning Load and Flexible Heating Load
    Zhang H.
    Wu J.
    Cai J.
    Wang R.
    Cai Z.
    Liu G.
    Dianwang Jishu/Power System Technology, 2022, 46 (07): : 2733 - 2741
  • [42] Distributed Power System Control of New Energy Ship
    Wang Xinsheng
    Zheng Mingli
    Cheng Guorui
    PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 2159 - 2164
  • [43] Sustainable Electric Railway System Integrated With Distributed Energy Resources: Optimal Operation and Smart Energy Management System
    Davoodi, Mohsen
    Kaleybar, Hamed Jafari
    Brenna, Morris
    Zaninelli, Dario
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2025, 2025 (01):
  • [44] Demand response management of community integrated energy system: A multi-energy retail package perspective
    Gao, Hongjun
    Zhao, Yinbo
    He, Shuaijia
    Liu, Junyong
    APPLIED ENERGY, 2023, 330
  • [45] Demand Response for Integrating Distributed Energy Resources in Transactive Energy System
    Li, Biao
    Wan, Can
    Yuan, Kai
    Song, Yi
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 6645 - 6651
  • [46] Modeling Building Energy Demand for Distributed Renewable Energy System Planning
    Liu, Jinhui
    Zhao, Yanling
    Xu, Zhanbo
    Wu, Jiang
    Liu, Kun
    Guan, Xiaohong
    2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, : 2040 - 2045
  • [47] A Review of Load Forecasting of the Distributed Energy System
    Wang, Zhenyu
    Li, Jun
    Zhu, Shilin
    Zhao, Jun
    Deng, Shuai
    Zhong, Shengyuan
    Yin, Hongmei
    Li, Hao
    Qi, Yan
    Gan, Zhiyong
    4TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2019, 237
  • [48] Stochastic energy management of a multi-microgrid system with battery/ supercapacitor energy storages considering demand response and transactive energy
    Seyednouri, S. R.
    Safari, A.
    Quteishat, A.
    Younis, M. A.
    Salehi, J.
    Najafi, S.
    Taghizadegan, N.
    RENEWABLE ENERGY FOCUS, 2024, 48
  • [49] Stochastic Optimal Dispatching of Electrothermal Integrated Energy System Considering Uncertainty of Heat Load
    Song, Lin
    Wu, Haotian
    Ke, Deping
    Xu, Jian
    Zheng, Jingwen
    Ling, Zaixun
    Cui, Yibo
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 997 - 1001
  • [50] Dynamic Pricing and Distributed Energy Management for Demand Response
    Jia, Liyan
    Tong, Lang
    IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (02) : 1128 - 1136