2021/10/19 by Thai-Thanh Nguyen, Nguyen, Thai-Thanh, Bang Le-Huy Nguyen +3
Energy · Engineering · Environmental Science · #Advanced Battery Technologies Research #FOS: Electrical engineering #Hybrid Renewable Energy Systems #Maritime Transport Emissions and Efficiency #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2110.10053
openalex publication_date 2021/10/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper proposes an original energy management methodology for enhancing the resilience of ship power systems considering multiple types of energy storage systems, including battery energy storage systems (BESS) and supercapacitor energy storage systems (SCESS). The primary function of the proposed EMS is to maximize the load operability while taking ramp-rate characteristics of energy storage systems (ESS) and generators into account innovatively. Balancing state-of-charge (SoC) of BESS and prioritizing the SoC level of SCESS are two additional objectives of the proposed EMS to manage energy storage systems. The receding horizon optimization (RHO) technique is proposed to reduce the computational burden, making the proposed method feasible for real-time applications. An all-electric MVDC ship power system is used to evaluate the performance of the proposed methodology. Simulation studies and results demonstrate the effectiveness of the proposed method in managing the ESS to ensure the system resilience under generation power shortage. In addition, the proposed RHO technique significantly reduces the computation burden seen in the FHO technique while maintaining an acceptable resilience performance.