Model predictive energy management in hybrid ferry grids

Artikel

High performance and cost-effective ferry boats are of capital interest for customers and marine industry companies. On the other hand, the traditional ferry boats, operated by diesel generators, spatter the atmosphere with CO2 emissions and detrimental particles. Hence, electric propulsion in marine applications, especially in ferry vessel systems, has gained a lot of attention during the last decade as a promising technology to decrease fuel consumption and emissions. However, one of the main issues in the electric ferries (E-Ferry) is to keep the voltage and frequency within an acceptable range according to the large dynamic load fluctuations. In order to solve this issue, this paper presents a model predictive energy management based on a modified black hole algorithm (BHA) for the hybrid E-Ferry systems. Finally, to study the efficiency of our proposal, we run a real-time simulation using the d-Space simulator and compare the effect of the prediction horizon on the system performance.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Energy Reports ; ISSN: 2352-4847 ; Volume: 6 ; Year: 2020 ; Issue: 2 ; Pages: 550-557 ; Amsterdam: Elsevier

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: Black hole algorithm (BHA) ; Electric ferry-system ; Fuel cell technology ; Marine power system ; Model predictive control (MPC)

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Vafamand, Navid ; Boudjadar, Jalil ; Khooban, Mohammad Hassan
• Ereignis: Veröffentlichung
• (wer): Elsevier
• (wo): Amsterdam
• (wann): 2020

Weitere Informationen

• DOI: doi:10.1016/j.egyr.2019.11.118
• Handle: http://hdl.handle.net/10419/243931
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ