Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation
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 di...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148659 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-148659 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1486592021-05-31T08:12:37Z Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation Kyaw, Hein Xu, Yan Wilson, Gary School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Energy Storage Electric Ship Charging 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. Published version 2021-05-31T08:12:36Z 2021-05-31T08:12:36Z 2020 Journal Article 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 2079-9292 https://hdl.handle.net/10356/148659 10.3390/electronics9050849 2-s2.0-85085325850 5 9 en Electronics © 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/). application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Electrical and electronic engineering Energy Storage Electric Ship Charging |
spellingShingle |
Engineering::Electrical and electronic engineering Energy Storage Electric Ship Charging Kyaw, Hein Xu, Yan Wilson, Gary Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
description |
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. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Kyaw, Hein Xu, Yan Wilson, Gary |
format |
Article |
author |
Kyaw, Hein Xu, Yan Wilson, Gary |
author_sort |
Kyaw, Hein |
title |
Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
title_short |
Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
title_full |
Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
title_fullStr |
Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
title_full_unstemmed |
Multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
title_sort |
multi-objective optimal scheduling of a hybrid ferry with shore-to-ship power supply considering energy storage degradation |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148659 |
_version_ |
1702418236588425216 |