A Method for Determining the Required Power Capacity of an On-Shore Power System Considering Uncertainties of Arriving Ships

被引:12
|
作者
Peng, Yun [1 ]
Li, Xiangda [1 ]
Wang, Wenyuan [1 ]
Liu, Ke [1 ]
Bing, Xiao [2 ]
Song, Xiangqun [1 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Design Inst Civil Engn & Architecture, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
green container terminal; OPS; emission reduction; simulation method; CONTAINER TERMINALS; EMISSIONS; ELECTRICITY; PREDICTION; PORTS;
D O I
10.3390/su10124524
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The contribution of this paper is to provide a method for determining the required power capacity of an on-shore power system (OPS) considering the stochastic nature of arriving ships. In order to cope with such complicated and stochastic operation processes in container terminals, simulation models are established with arrival intervals of ships ranging from 1 to 100 h as inputs. Firstly, the mobile pattern of OPS adopted in the container terminal is introduced. Then, patterns of arriving ships are analyzed to explain why a simulation method is necessary. Next, a series of simulation experiments based on a container terminal in China are constructed and carried out. Finally, the required power capacity of an OPS under different arrival intervals is given when considering all berthed ships using an OPS. Besides, with the consideration of reducing environmental impact of ships at different levels, the required power capacity is provided with different proportions of arriving ships using an OPS. The results obtained, and the proposed method can be used to provide references for government policy making and green container terminal construction.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Evaluation and expansion planning method of a power system considering flexible carrying capacity
    Lin Z.
    Li H.
    Su Y.
    Gou J.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (05): : 46 - 57
  • [22] Energy Optimization of the 'Shore to Ship' System-A Universal Power System for Ships at Berth in a Port
    German-Galkin, Sergey
    Tarnapowicz, Dariusz
    SENSORS, 2020, 20 (14) : 1 - 21
  • [23] Flexible Control Method for Impact Load Power in Port Shore Power System
    Li, Shanglong
    Liu, Qianyi
    Zou, Runmin
    Liu, Fang
    Li, Yong
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2024, 44 (16): : 6587 - 6596
  • [24] A dynamic partitioning method for power system parallel restoration considering restoration-related uncertainties
    Li, Ze
    Xue, Yusheng
    Wang, Haohao
    Hao, Lili
    ENERGY REPORTS, 2020, 6 : 352 - 361
  • [25] ANALYTICAL METHOD FOR DETERMINING THE CAPACITY OF A CATAMARAN POWER PLANT
    Gaykovich, Alexander I.
    Nikitin, Nikolay V.
    Suslov, Alexander N.
    Bo, Khan'
    MARINE INTELLECTUAL TECHNOLOGIES, 2019, 4 (01): : 80 - 85
  • [26] Research on the influence and optimization strategy of a large capacity shore power system connecting to power grid
    Guo Y.
    Wei Y.
    Li C.
    Yuan Q.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (08): : 155 - 162
  • [27] Optimal Spinning Reserve Capacity in Power System with Wind Uncertainties
    Yang, Yuwei
    Wen, Zhihui
    Xu, Sheng
    Tang, Xin
    Yang, Mei
    Sun, Kuoteng
    2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, 2014,
  • [28] A Novel Interval Programming Method and Its Application in Power System Optimization Considering Uncertainties in Load Demands and Renewable Power Generation
    Wang, Dapeng
    Zhang, Cong
    Jia, Wanqing
    Liu, Qian
    Cheng, Long
    Yang, Huaizhi
    Luo, Yufeng
    Kuang, Na
    ENERGIES, 2022, 15 (20)
  • [29] Stability analysis of single area power system considering parameter uncertainties
    Angu R.
    Mehta R.K.
    Australian Journal of Electrical and Electronics Engineering, 2020, 17 (02): : 92 - 102
  • [30] Power Grid Optimal Topology Control Considering Correlations of System Uncertainties
    Alhazmi, Mohannad
    Dehghanian, Payman
    Wang, Shiyuan
    Shinde, Bhavesh
    2019 IEEE/IAS 55TH INDUSTRIAL AND COMMERCIAL POWER SYSTEMS TECHNICAL CONFERENCE (I&CPS), 2019, : 237 - 243