Energy management and control strategy of ship diesel-electric hybrid power system

被引：0
|
作者：
Xiao N. [1 ,2 ]
Xu X. [1 ,2 ]
Zhou R. [3 ]
机构：
[1] Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang
[2] College of Mechanical and Power Engineering, China Three Gorges University, Yichang
[3] School of Energy and Power Engineering, Wuhan University of Technology, Wuhan
来源：
Xiao, Nengqi (xiaonengqi@126.com) | 1600年 / Editorial Board of Journal of Harbin Engineering卷 / 41期
关键词：
Control strategy; Diesel-electric hybrid; Energy flow; Energy management; Fuzzy pattern recognition; Optimal control; Propulsion system; Sailing condition;
D O I：
10.11990/jheu.201808007
中图分类号：
学科分类号：
摘要：
To explore the optimal energy management and control strategy of the complex diesel-electric propulsion system of a ship so that the ship can operate under the most reasonable operating conditions during the voyage, taking the four-engine twin-propeller hybrid propulsion system of a ship as the research object, the operating characteristics and corresponding energy flow of the system are studied in four single-engine modes, six PTI modes, and two parallel operation modes. The characteristic parameters of the sailing conditions of the ship were extracted, and the standard sailing conditions were established. The established fuzzy pattern recognition model under the sailing condition was used to identify the sailing conditions to which the sample belongs. A regular energy management control strategy is proposed based on the sailing condition recognition, which is used for the unified management and distribution of ship diesel-electric hybrid propulsion system energy. During the ship voyage, the abovementioned method is used to identify the sailing conditions in real time, so as to reduce the fuel consumption and reduce the emissions by switching the clutch state command to make the ship sail under the optimal conditions. © 2020, Editorial Department of Journal of HEU. All right reserved.
引用
收藏
页码：153 / 160
页数：7
相关论文
共 14 条
  • [1] Sun Y., Hu K., Yan X., Et al., A review on research in key technologies of hybrid energy storage system in new energy ships, Shipbuilding of China, 59, 1, pp. 226-236, (2018)
  • [2] Han Q., Huang Y., Zhang J., Et al., Technology of marine power management system, Ship Engineering, 31, pp. 102-104, (2009)
  • [3] Liao W., Yu W., Zhang R., Optimal sizing study of marine micro-grid power based on real time coordinated control of energy, Shipbuilding of China, 58, 4, pp. 191-202, (2017)
  • [4] Kanellos F.D., Optimal power management with GHG emissions limitation in all-electric ship power systems comprising energy storage systems, IEEE Transactions on Power Systems, 29, 1, pp. 330-339, (2014)
  • [5] Kanellos F.D., Prousalidis J.M., Tsekouras G.J., Control system for fuel consumption minimization-gas emission limitation of full electric propulsion ship power systems, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 228, 1, pp. 17-28, (2014)
  • [6] Kanellos F.D., Tsekouras G.J., Hatziargyriou N.D., Optimal demand-side management and power generation scheduling in an all-electric ship, IEEE Transactions on Sustainable Energy, 5, 4, pp. 1166-1175, (2014)
  • [7] Backlund P.B., Seepersad C.C., Kiehne T.M., All-electric ship energy system design using classifier-guided sampling, IEEE Transactions on Transportation Electrification, 1, 1, pp. 77-85, (2015)
  • [8] Frisk M., On-ship power management and voyage planning interaction, (2015)
  • [9] Kalikatzarakis M., Geertsma R.D., Boonen E.J., Et al., Ship energy management for hybrid propulsion and power supply with shore charging, Control Engineering Practice, 76, pp. 133-154, (2018)
  • [10] Hou J., Sun J., Hofmann H., Adaptive model predictive control with propulsion load estimation and prediction for all-electric ship energy management, Energy, 150, pp. 877-889, (2018)
12