Rule‐based operation task‐aware energy management for ship power systems
This study proposes an operation task‐aware energy management strategy for ship power systems that consist of main engines, diesel–electric engines, and energy storage systems. The proposed strategy aims to meet the fuel consumption and task‐dependent objectives of the vessel by optimally dispatchin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-12-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-gtd.2020.0668 |
| _version_ | 1811183295513231360 |
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| author | Kyaw Hein Yan Xu Yuvarekha Senthilkumar Wilson Gary Amit Kumar Gupta |
| author_facet | Kyaw Hein Yan Xu Yuvarekha Senthilkumar Wilson Gary Amit Kumar Gupta |
| author_sort | Kyaw Hein |
| collection | DOAJ |
| description | This study proposes an operation task‐aware energy management strategy for ship power systems that consist of main engines, diesel–electric engines, and energy storage systems. The proposed strategy aims to meet the fuel consumption and task‐dependent objectives of the vessel by optimally dispatching the generation and storage units. Firstly, rule‐based decisions are made based on the operational task requirements and specifications by the classification societies. Then, in the optimisation stage, these decision variables are used as inputs to formulate and update the operational constraints and the objectives of the optimisation. The optimisation problem is formulated as a mixed‐integer linear programming model, and with the help of rule‐based decision variables, the problem can be efficiently solved by the exhaustive search algorithm. Four case studies with different operation task sequences and ship topologies are performed to demonstrate the effectiveness of the dispatching scheme. Furthermore, the results indicate the simplicity and practicality for the actual implementation, as well as flexibility and applicability of the proposed optimal energy dispatch for different types of vessels. |
| first_indexed | 2024-04-11T09:44:27Z |
| format | Article |
| id | doaj.art-aff799cc843a4a5095d3ed0492255f81 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-11T09:44:27Z |
| publishDate | 2020-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-aff799cc843a4a5095d3ed0492255f812022-12-22T04:31:06ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952020-12-0114256348635810.1049/iet-gtd.2020.0668Rule‐based operation task‐aware energy management for ship power systemsKyaw Hein0Yan Xu1Yuvarekha Senthilkumar2Wilson Gary3Amit Kumar Gupta4School of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore639798SingaporeSchool of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore639798SingaporeSchool of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore639798SingaporeRolls‐Royce ElectricalRolls‐RoyceSingaporeRolls‐Royce ElectricalRolls‐RoyceSingaporeThis study proposes an operation task‐aware energy management strategy for ship power systems that consist of main engines, diesel–electric engines, and energy storage systems. The proposed strategy aims to meet the fuel consumption and task‐dependent objectives of the vessel by optimally dispatching the generation and storage units. Firstly, rule‐based decisions are made based on the operational task requirements and specifications by the classification societies. Then, in the optimisation stage, these decision variables are used as inputs to formulate and update the operational constraints and the objectives of the optimisation. The optimisation problem is formulated as a mixed‐integer linear programming model, and with the help of rule‐based decision variables, the problem can be efficiently solved by the exhaustive search algorithm. Four case studies with different operation task sequences and ship topologies are performed to demonstrate the effectiveness of the dispatching scheme. Furthermore, the results indicate the simplicity and practicality for the actual implementation, as well as flexibility and applicability of the proposed optimal energy dispatch for different types of vessels.https://doi.org/10.1049/iet-gtd.2020.0668rule‐based operation task‐aware energy managementship power systemsoperation task‐aware energy management strategymain enginesdiesel–electric enginesenergy storage systems |
| spellingShingle | Kyaw Hein Yan Xu Yuvarekha Senthilkumar Wilson Gary Amit Kumar Gupta Rule‐based operation task‐aware energy management for ship power systems IET Generation, Transmission & Distribution rule‐based operation task‐aware energy management ship power systems operation task‐aware energy management strategy main engines diesel–electric engines energy storage systems |
| title | Rule‐based operation task‐aware energy management for ship power systems |
| title_full | Rule‐based operation task‐aware energy management for ship power systems |
| title_fullStr | Rule‐based operation task‐aware energy management for ship power systems |
| title_full_unstemmed | Rule‐based operation task‐aware energy management for ship power systems |
| title_short | Rule‐based operation task‐aware energy management for ship power systems |
| title_sort | rule based operation task aware energy management for ship power systems |
| topic | rule‐based operation task‐aware energy management ship power systems operation task‐aware energy management strategy main engines diesel–electric engines energy storage systems |
| url | https://doi.org/10.1049/iet-gtd.2020.0668 |
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