Modeling and Real-Time Scheduling of DC Platform Supply Vessel for Fuel Efficient Operation
Kuntal Satpathi, VSK Murthy Balijepalli, Abhisek Ukil

TL;DR
This paper presents a real-time simulation and control framework for a DC-powered marine vessel that optimizes generator and energy storage operation to minimize fuel consumption, incorporating renewable energy sources and contingency handling.
Contribution
It introduces an integrated modeling and control scheme with real-time transient simulation for fuel-efficient operation of DC marine vessels, including renewable energy integration and contingency scenarios.
Findings
Optimized generator and ESS scheduling improves fuel efficiency.
Renewable energy integration enhances SFOC reduction.
Real-time simulation validates effective control strategies.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
