Optimization of Hybrid Battery-Supercapacitor Storage System in Electric Ship Using Multi-Objective Genetic Algorithm

Meng, Sreymey (2025) Optimization of Hybrid Battery-Supercapacitor Storage System in Electric Ship Using Multi-Objective Genetic Algorithm. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

As the marine industry now is running toward the green and more efficient propulsion system, the optimization has also become a primary part of the research. This research study is focusing on the optimal sizing of Hybrid Energy Storage (HESS) in electric ship using Multi-Objective Genetic Algorithm (MOGA). By integrating the battery and supercapacitor (SC), it helps cover the load demand while enhancing a good performance to the ship. This research study is to optimize sizing of HESS with a suitable Energy management System (EMS) to desired the intention of minimize the total cost of HESS and degradation of the battery. The proposed model addresses the complexity of HESS while optimized the distribution of power for both the battery and SC, handling the load condition.
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Karena industri kelautan kini tengah bergerak menuju sistem propulsi yang lebih ramah lingkungan dan efisien, pengoptimalan juga telah menjadi bagian utama dari penelitian. Studi penelitian ini berfokus pada ukuran optimal Hybrid Energy Storage (HESS) di kapal listrik menggunakan Multi-Objective Genetic Algorithm (MOGA). Dengan mengintegrasikan baterai dan superkapasitor (SC), hal ini membantu memenuhi permintaan beban sekaligus meningkatkan kinerja kapal yang baik. Studi penelitian ini bertujuan untuk mengoptimalkan ukuran HESS dengan Sistem Manajemen Energi (EMS) yang sesuai dengan tujuan meminimalkan total biaya HESS dan penurunan kinerja baterai. Model yang diusulkan membahas kompleksitas HESS sekaligus mengoptimalkan distribusi daya untuk baterai dan SC, serta menangani kondisi beban.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Hybrid Energy Storage (HESS), Battery, Supercapacitor, Multi-Objective Optimization, Electric Ship
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872.C65 Supercapacitors.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Sreymey Meng
Date Deposited:	21 Jul 2025 02:55
Last Modified:	21 Jul 2025 02:55
URI:	http://repository.its.ac.id/id/eprint/120175

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