Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships
<|reference_start|>Real-time hybrid controls of energy storage and load shedding for integrated power and energy systems of ships: This paper presents an original energy management methodology to enhance the resilience of ship power systems. The integration of various energy storage systems (ESS), including battery energy storage systems (BESS) and super-capacitor energy storage systems (SCESS), in modern ship power systems poses challenges in designing an efficient energy management system (EMS). The EMS proposed in this paper aims to achieve multiple objectives. The primary objective is to minimize shed loads, while the secondary objective is to effectively manage different types of ESS. Considering the diverse ramp-rate characteristics of generators, SCESS, and BESS, the proposed EMS exploits these differences to determine an optimal long-term schedule for minimizing shed loads. Furthermore, the proposed EMS balances the state-of-charge (SoC) of ESS and prioritizes the SCESS's SoC levels to ensure the efficient operation of BESS and SCESS. For better computational efficiency, we introduce the receding horizon optimization method, enabling real-time EMS implementation. A comparison with the fixed horizon optimization (FHO) validates its effectiveness. Simulation studies and results demonstrate that the proposed EMS efficiently manages generators, BESS, and SCESS, ensuring system resilience under generation shortages. Additionally, the proposed methodology significantly reduces the computational burden compared to the FHO technique while maintaining acceptable resilience performance.<|reference_end|>
@article{vu2024real-time,
    title={Real-time hybrid controls of energy storage and load shedding for
  integrated power and energy systems of ships},
    author={Linh Vu, Thai-Thanh Nguyen, Bang Le-Huy Nguyen, Md Isfakul Anam, Tuyen
  Vu},
    journal={Electric Power Systems Research, volume 229, pages 110191, year
  2024},
    year={2024},
    doi={10.1016/j.epsr.2024.110191},
    archivePrefix={arXiv},
    eprint={2403.01102},
    primaryClass={eess.SY cs.SY}
}