Optimal Sizing of BESS for Hybrid Electric Ship Using Multi-Objective Particle Swarm Optimization
| Autor: | Rudy Tjandra, Yi Tang, Dehong Zhou, Shuli Wen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
Computer science 020209 energy Sorting Particle swarm optimization 02 engineering and technology 021001 nanoscience & nanotechnology USable Multi-objective optimization Sizing 0202 electrical engineering electronic engineering information engineering Fuel efficiency Electric ship 0210 nano-technology Energy (signal processing) |
| Zdroj: | Scopus-Elsevier |
| DOI: | 10.23919/icpe2019-ecceasia42246.2019.8797214 |
| Popis: | This paper presents an optimal sizing technique of Battery Energy Storage System (BESS) in Hybrid Electric Ship. The technique is based on both Multi-Objective Particle Swarm Optimization (MOPSO) and Non-Dominated Sorting-based Genetics Algorithm II (NSGA II). Both total installed BESS size (kWh) and total fuel consumption are the objectives of the optimization. To meet the target lifespan of BESS, Depth-of-Discharge (DOD) of BESS is used as design variable together with usable energy of BESS. An example based on ferry case study has been studied. From the sizing technique, Pareto front is obtained. The ship designer or user can choose one of the results from the Pareto front based on their goal or requirement. |
| Databáze: | OpenAIRE |
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