Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148659
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). https://dx.doi.org/10.3390/electronics9050849
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.
URI: https://hdl.handle.net/10356/148659
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 (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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