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Predictive energy management for MVDC all-electric ships

Authors: Tuyen V. Vu; David Gonsoulin; Dallas Perkins; Fernand Diaz; Hesan Vahedi; Chris S. Edrington;

Predictive energy management for MVDC all-electric ships

Abstract

The integration of energy storage devices is essential to handle the high-power ramp-rate loads in all-electric ships. This paper presents a novel predictive control method to manage the energy flow among distributed resources including generators and a bulk energy storage. The system objective, which guarantees the high-power ramp-rate operation of pulsed power load, will be formulated based on the state of charge of the energy storage. The solution of the formulated objective provides the optimal charging and discharging profile for the energy storage to handle high ramp-rate demands. Simulation results in a 12 kV–100 MW MVDC ship power system validate the proposed control algorithm.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Top 10%
Top 10%
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