Ship energy management scheme based on improved particle swarm optimization algorithm

Abstract

Objectives Aiming at the increasingly compressed profit margins of the ship industry and environmental pollution caused by ship navigation, a shipboard energy management system (EMS) scheme that satisfies various constraints is proposed.Methods First, a mathematical model of the EMS is established to clarify a series of constraints such as arrival time restrictions, carbon dioxide emission standards and operational constraints. Then, an improved particle swarm optimization algorithm (PSO) is used to reduce overall operating costs and greenhouse gas emissions, taking the place of real-number coding and iterative optimization of the start and stop status, operating status, sailing speed and other parameters of generator sets and diesel generator sets. Finally, taking the sailing standard data of a passenger ferry as an example, three optimization schemes are set to verify the feasibility and effectiveness of the PSO algorithm.Results The results of the simulation comparison show that the operating cost of scheme 1 (the initial scheme) is 37 022.75 m.u., and the operating cost of scheme 2 (only the optimal distribution of the electric power of the generator set) is 36 993.27 m.u., a reduction of 0.079 6%. Option 3 (the overall optimization) is 35 851.25 m.u., a reduction of 3.164 2%, which both the requirements of economic benefits and the environmental protection are taken into account.Conclusions The EMS scheme based on the improved PSO algorithm can significantly reduce operating costs, and ensure a relatively stable sailing speed and load distribution curve, which is conducive to improving the working efficiency and economic benefits of the EMS.

Keywords

• marine power system
• particle swarm optimization algorithm
• greenhouse gas emission
• energy management scheme