Joint Generation and Voyage Scheduling for All-Electric Ships Considering the Impact of Wind and Wave

An all-electric ship (AES) can act as an island microgrid while sailing at sea. During AES sailing, wind and waves can have an impact on speed, which in turn can affect the on-time rate of the ship's arrival at the port. Aiming at the economic and environmental scheduling problem of ship microgrid, this paper considers the influence of wind and waves on ship speed during navigation, to establish a ship generation and voyage joint optimization scheduling model. The economic and environmental objectives are minimized while meeting the ship navigation, generator constraints. Furthermore, the role of energy storage system is evaluated. The multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the generator output power and the charging and discharging power of the energy storage system as well as the ship's speed by considering the effects of wind and waves. The comparative experiments prove that the access of energy storage system can improve the economy and environmental protection of ships. According to the principle of Pareto dominance, a set of complete Pareto compromise solutions are found.