Model predictive energy management in hybrid ferry grids

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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.

OriginalsprogEngelsk
TidsskriftEnergy Reports
Vol/bind6
NummerSupplement 2
Sider (fra-til)550-557
Antal sider8
DOI
StatusUdgivet - feb. 2020
BegivenhedThe 6th International Conference on Power and Energy Systems Engineering - Okinawa, Japan
Varighed: 20 sep. 201923 sep. 2019
Konferencens nummer: 6
https://www.journals.elsevier.com/energy-reports/conferences

Konference

KonferenceThe 6th International Conference on Power and Energy Systems Engineering
Nummer6
LandJapan
ByOkinawa
Periode20/09/201923/09/2019
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