Optimal control of transient processes in marine hybrid propulsion systems: Modeling, optimization and performance enhancement

Xiaojun Sun, Chong Yao, Enzhe Song, Qidong Yang and Xuchang Yang

Applied Energy, 2022, vol. 321, issue C, No S0306261922007413

Abstract: The voice of energy saving and environmental protection is increasing, and the regulations on energy efficiency of ships are becoming stricter. It has forced the shipping industry to accelerate the development of marine hybrid propulsion systems (MHPS). However, the direct control of power distribution optimized by advanced intelligent algorithms may lead to ship oscillations and speed fluctuations. This paper presents a transient process optimization control strategy for solving multi-energy switching. A MHPS simulation model is established from the first nature principle and experimental data. A simulation analysis of the critical parameters affecting the switching process, namely the clutch operating oil pressure and the permanent-magnet synchronous motor (PMSM) output torque. From the viewpoint of restraining speed and oscillation, a process evaluation function is designed to include speed tracking, shock mitigation, and slip work reduction. An upgraded version of WOA, namely Adaptive Perturbation Quantum wave whale optimization algorithm (APQWOA), is proposed to solve the optimal control problem. This transient process optimization control scheme was tested in real time operation through experiments. The results show that the APQWOA is reliably evaluated, which significantly reduces the speed fluctuation and shock level.

Keywords: Ship; Hybrid power; Transient processes; Mode switching; Optimize control (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.apenergy.2022.119404

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