Please use this identifier to cite or link to this item:
Title: Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation
Authors: Kyaw, Hein
Xu, Yan
Wilson, Gary
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Kyaw, H., Xu, Y. & Wilson, G. (2020). Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation. Electronics, 9(5).
Journal: Electronics
Abstract: To improve the operation efficiency and reduce the emission of a solar power integrated hybrid ferry with shore-to-ship (S2S) power supply, a two-stage multi-objective optimal operation scheduling method is proposed. It aims to optimize the two conflicting objectives, operation cost (fuel cost of diesel generators (DGs), carbon dioxide (CO₂) emission tax and S2S power exchange) and energy storage (ES/ESS) degradation cost, based on the preference of the vessel operator and solar photovoltaic (PV) power output. For the day-ahead optimization, interval forecast data of the PV is used to map the solution space of the objectives with different sets of weight assignment. The solution space from the day-ahead optimization is used as a guide to determine the operating point of the hour-ahead optimization. As for the hour-ahead scheduling, more accurate short-lead time forecast data is used for the optimal operation scheduling. A detailed case study is carried out and the result indicates the operation flexibility improvement of the hybrid vessel. The case study also provides more in-depth information on the dispatching scheme and it is especially important if there are conflicting objectives in the optimization model.
ISSN: 2079-9292
DOI: 10.3390/electronics9050849
Rights: © 2020 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Files in This Item:
File Description SizeFormat 
electronics-09-00849-v2.pdf716.33 kBAdobe PDFThumbnail

Citations 20

Updated on Mar 28, 2023

Web of ScienceTM
Citations 20

Updated on Mar 24, 2023

Page view(s)

Updated on Mar 29, 2023

Download(s) 50

Updated on Mar 29, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.