Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88744
Title: Modeling and Real-Time Scheduling of DC Platform Supply Vessel for Fuel Efficient Operation
Authors: Satpathi, Kuntal
Ukil, Abhisek
Murthy Balijepalli, Venkata Sita Krishna
Keywords: DC Power Flow
DC Shipboard Power System
Issue Date: 2017
Source: Satpathi, K., Murthy Balijepalli, V. S. K., & Ukil, A. (2017). Modeling and Real-Time Scheduling of DC Platform Supply Vessel for Fuel Efficient Operation. IEEE Transactions on Transportation Electrification, 3(3), 762-778.
Series/Report no.: IEEE Transactions on Transportation Electrification
Abstract: DC marine architecture integrated with variable speed diesel generators (DGs) has garnered the attention of the researchers primarily because of its ability to deliver fuel efficient operation. This paper aims in modeling and to autonomously perform real-time load scheduling of dc platform supply vessel (PSV) with an objective to minimize specific fuel oil consumption (SFOC) for better fuel efficiency. Focus has been on the modeling of various components and control routines, which are envisaged to be an integral part of dc PSVs. Integration with photovoltaic-based energy storage system (ESS) has been considered as an option to cater for the short time load transients. In this context, this paper proposes a real-time transient simulation scheme, which comprises of optimized generation scheduling of generators and ESS using dc optimal power flow algorithm. This framework considers real dynamics of dc PSV during various marine operations with possible contingency scenarios, such as outage of generation systems, abrupt load changes, and unavailability of ESS. The proposed modeling and control routines with real-time transient simulation scheme have been validated utilizing the real-time marine simulation platform. The results indicate that the coordinated treatment of renewable-based ESS with DGs operating with optimized speed yields better fuel savings. This has been observed in improved SFOC operating trajectory for critical marine missions. Furthermore, SFOC minimization at multiple suboptimal points with its treatment in the real-time marine system is also highlighted.
URI: https://hdl.handle.net/10356/88744
http://hdl.handle.net/10220/44755
ISSN: 2332-7782
DOI: 10.1109/TTE.2017.2744180
Schools: School of Electrical and Electronic Engineering 
Research Centres: Institute of Catastrophe Risk Management 
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TTE.2017.2744180].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ICRM Journal Articles

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