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Research on Wind Speed Vertical Extrapolation Based on Extreme Learning Machine Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Optimized Control of Ship DC Electric Propulsion System with Energy Storage Unit

Authors : Feng Ding, Shuofeng Wang, Shaohua Zhang

Published in: Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Publisher: Springer Singapore

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Abstract

The frequent load fluctuations caused by the marine environmental variability and the operational requirements of the ship itself will have adverse impacts on the economics and reliability of the ship power grid. To alleviate these adverse impacts, the energy management technology is adopted and the super capacitor is employed as the energy storage unit in the ship DC electric propulsion system. In addition, the smooth fluctuation power control method is used, and the particle swarm optimization algorithm is applied to optimize the cut-off frequency of the low-pass filter and the capacity of super capacitor. As results, the fuel consumption cost of the diesel generator and energy storage cost can be minimized, and the negative impact caused by the ship load fluctuations can be mitigated. Finally, the simulation results show that the proposed methods can effectively improve the performance of ship propulsion system.

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previous chapter Model Predictive Control Based on the Dynamic PLS Approach to Waste Heat Recovery System
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Metadata
Title
Optimized Control of Ship DC Electric Propulsion System with Energy Storage Unit
Authors
Feng Ding
Shuofeng Wang
Shaohua Zhang
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Print ISBN: 978-981-10-6363-3

Electronic ISBN: 978-981-10-6364-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6364-0_52

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