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Optimizing dynamic electric ferry loads with intelligent power management

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dc.contributor.authorRoy, Rajib Baranen
dc.contributor.authorAlahakoon, Sanathen
dc.contributor.authorArachchillag, Shantha Jayasingheen
dc.contributor.authorRahman, Saifuren
dc.date.accessioned2024-03-27T12:58:44Zen
dc.date.available2024-03-27T12:58:44Zen
dc.date.issued2023-12en
dc.description.abstractIn recent years, there has been an increasing shift towards using environmentally friendly renewable resources in marine vessels, replacing traditional diesel generators. However, one of the main challenges faced in renewable energy-driven marine vessels is dynamic load management. The feasibility of a renewable-powered electric marine vessel largely depends on the optimal utilization of renewable resources, and storage is an essential component of the marine electric vessel. This paper proposes a two-stage power management system (PMS) for an electric ferry powered by the fuel cell and battery energy storage systems (BESS). The primary objective of the proposed PMS is to ensure a balance between the generated power and the ferry load by minimizing the consumption of hydrogen (H2) fuel. The first stage of the PMS employs particle swarm optimization (PSO), bacterial foraging optimization (BFO), and a hybrid PSO-BFO algorithm to optimize the fuel cell and battery capacity. This is done so that the generated power can follow the load demand. The second stage of the PMS utilizes the Mamdani rule-based fuzzy logic system (FLS) to match the load demand with the generated power. The hybrid PSO-BFO algorithm optimizes the fuzzy control parameters to meet the dynamic load by ensuring optimal H2 fuel consumption and battery state of charge (SOC). To obtain optimal values, the load profile of a conventional ferry is used for the proposed PMS. Based on the optimization results, the optimal capacities are found to be 318 kWh and 317.64 kWh for the fuel cell and BESS, respectively, which are obtained using the hybrid PSO-BFO algorithm. The optimal value of H2 fuel consumption during cruising is found to be 18 kg. A simulated model-based approach validates the operation of the proposed PMS. The proposed PMS ensures optimal H2 fuel consumption and battery SOC while meeting the dynamic load demands of the ferry. The results obtained demonstrate the effectiveness of the proposed PMS in optimizing the renewable energy-driven marine vessel power system.en
dc.description.versionAccepted versionen
dc.format.extentPages 5952-5963en
dc.format.extent12 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1016/j.egyr.2023.05.029en
dc.identifier.eissn2352-4847en
dc.identifier.issn2352-4847en
dc.identifier.orcidRahman, Saifur [0000-0001-6226-8406]en
dc.identifier.urihttps://hdl.handle.net/10919/118455en
dc.identifier.volume9en
dc.language.isoenen
dc.publisherElsevieren
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectFuel cell and battery operated electric ferryen
dc.subjectOptimal intake of H2 fuelen
dc.subjectLoad managementen
dc.subjectHybrid PSO-BFO algorithmen
dc.subjectMamdani rule based fuzzy logicen
dc.titleOptimizing dynamic electric ferry loads with intelligent power managementen
dc.title.serialEnergy Reportsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Advanced Research Instituteen
pubs.organisational-group/Virginia Tech/Engineering/Electrical and Computer Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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