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Frequency transient suppression in hybrid electric ship power systems: a model predictive control strategy for converter control with energy storage

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Shagar, V, Jayasinghe, SG ORCID: 0000-0002-3304-9455 and Enshaei, H ORCID: 0000-0002-5649-7015 2018 , 'Frequency transient suppression in hybrid electric ship power systems: a model predictive control strategy for converter control with energy storage' , inventions, vol. 3, no. 1 , pp. 1-15 , doi: 10.3390/inventions3010013.

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Abstract

This paper aims to understand how the common phenomenon of fluctuations in propulsionand service load demand contribute to frequency transients in hybrid electric ship power systems. These fluctuations arise mainly due to changes in sea conditions resulting in significant variations in the propulsion load demand of ships. This leads to poor power quality for the power system that can potentially cause hazardous conditions such as blackout on board the ship. Effects of these fluctuations are analysed using a hybrid electric ship power system model and a proposed Model Predictive Control (MPC) strategy to prevent propagation of transients from the propellers into the shipboard power system. A battery energy storage system, which is directly connected to the DC-link of the frequency converter, is used as the smoothing element. Case studies that involve propulsion and service load changes have been carried out to investigate the efficacy of the proposed solution. Simulation results show that the proposed solution with energy storage and MPC is able to contain frequency transients in the shipboard power system within the permissible levels stipulated by the relevant power quality standards. These findings will help ship builders and operators to consider using battery energy storage systems controlled by advanced control techniques such as MPC to improve the power quality on board ships.

Item Type: Article
Authors/Creators:Shagar, V and Jayasinghe, SG and Enshaei, H
Keywords: hybrid ships, power system, load change, frequency transients
Journal or Publication Title: inventions
Publisher: MDPI AG
ISSN: 2411-5134
DOI / ID Number: 10.3390/inventions3010013
Copyright Information:

© 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

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