Research On All-Electric Ships’ Energy Management Optimization

Compared with traditional diesel-propelled ships,all-electric ships(AESs)have the characteristics of convenient maintenance,less environmental pollution,and more comfortable ship environment,have received extensive attention from the maritime industry.Energy management of AESs is to ensure the stable and efficient operation of the power system and it’s also the key for maximizing operational efficiency and minimizing operating costs.With the development of power electronics and variable frequency speed regulation technology,more and more modern ships adopt electric propulsion technology,and more and more attention is paid,this puts forward higher requirements for the ship’s energy management.If AESs’ energy management is operated by humans,it will inevitably cause fuel waste,wear and tear of generator sets,excessive emissions and other problems,resulting in the increase of operating costs and greenhouse gas emissions of the all-electric propulsion ship power system.Optimizing the energy management of all-electric propulsion ships can improve the economy and environmental protection of the operation of the ship’s power system on the premise of ensuring its safety and reliability.Therefore,it is of great research value and practical significance to optimize the energy management of AESs.In this paper,firstly,for AESs with multiple generator sets,AESs with multiple generator sets and energy storage systems,aiming at reducing the operating cost of the ship power system,considering the operating state constraints of the power system,set up mathematical models of ship energy management optimization problem.Quantum discrete particle swarm optimization and standard particle swarm optimization were used to solve the optimization problems.Through MATLAB simulation,on the premise of ensuring the safe and reliable operation of AESs’ power system,the operation costs are effectively reduced.Further,for AESs with multiple generator sets and energy storage systems,aiming at reducing the operating cost of the ship power system and the emissions of greenhouse gas,considering the operating state constraints of the power system,set up mathematical models of ship energy management multi-objective optimization problem.Multi-objective quantum-inspired binary particle swarm optimization and standard particle swarm optimization were used to solve the optimization problem.Through MATLAB simulation,on the premise of ensuring the safe and reliable operation of AESs’ power system,the operation cost is effectively reduced,the greenhouse gas emissions are reduced,and the ship energy conservation and emission reduction are realized.