Cristin-resultat-ID: 1671832
Sist endret: 8. april 2019, 21:15
NVI-rapporteringsår: 2019
Resultat
Vitenskapelig artikkel
2019

Model Predictive Control of Marine Power Plants with Gas Engines and Battery

Bidragsytere:
  • Torstein Ingebrigtsen Bø
  • Erlend Vaktskjold
  • Eilif Pedersen og
  • Olve Mo

Tidsskrift

IEEE Access
ISSN 2169-3536
e-ISSN 2169-3536
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2019
Publisert online: 2019
Volum: 7
Sider: 15706 - 15721
Open Access

Importkilder

Scopus-ID: 2-s2.0-85061741339

Beskrivelse Beskrivelse

Tittel

Model Predictive Control of Marine Power Plants with Gas Engines and Battery

Sammendrag

The electric load demand on marine vessels is constantly changing during some operational modes, such as in harsh weather or complex operations. Therefore, diesel engines are typically used to handle these variations. Gas engines reduce the CO2 due to a lower carbon content in LNG compared with diesel oil. However, they may not be able to handle the load variations of a marine power plant. There are multiple other energy sources with strict rate constraints, such as slow speed diesel engines and fuel cells. In such cases, a battery may be used to take care of the variations, while the generator set produces a slowly varying power. In this paper, a common power flow controller for the battery and the generator set is proposed. It utilizes the rotating inertia in the generator set as energy storage, in addition to a battery. This is done by allowing a small excursion in the speed of the generator set, the speed change will change the kinetic energy of the generator set and this is used analogous to an energy storage. The controller is compared with a baseline controller based on virtual inertia and speed-droop. A simulation study is included to demonstrate the performance of the control methods. The simulation study shows that the gas engine (with strict constraints) is not able to handle the given load series. Nonetheless, it can be used in combination with a battery to handle the variations. The power plant can handle a measured load series from a offshore vessel when either speed-droop control or model predictive control (MPC) is used. However, the study indicates that by using MPC, the aging of the batteries and fuel rate variations can be reduced.

Bidragsytere

Torstein Aarseth Bø

Bidragsyterens navn vises på dette resultatet som Torstein Ingebrigtsen Bø
  • Tilknyttet:
    Forfatter
    ved Energi og transport ved SINTEF Ocean
  • Tilknyttet:
    Forfatter
    ved Institutt for marin teknikk ved Norges teknisk-naturvitenskapelige universitet

Erlend Vaktskjold

  • Tilknyttet:
    Forfatter
    ved Rolls-Royce Marine

Eilif Pedersen

  • Tilknyttet:
    Forfatter
    ved Institutt for marin teknikk ved Norges teknisk-naturvitenskapelige universitet

Olve Mo

  • Tilknyttet:
    Forfatter
    ved Energisystemer ved SINTEF Energi AS
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