Optimization of a diesel-electric marine propulsion and power generation system using a genetic algorithm

In recent decades, the design process of marine propulsion systems has focused on energy efficiency and low pollutant emissions. In this case, the use of more advanced computational approaches such as genetic algorithm, which has a very high accuracy to obtain the optimal solution, so it is very well suited for the optimization of die-selelectric ship propulsion and power generation system, is of particular relevance. The paper discusses a variant of solving the optimization problem of diesel-electric ship propulsion and power generating system using genetic algorithm. The block diagram of the solution of the set optimization problem with the use of genetic algorithm is developed. The approach described in the article allows to select the mode of more economical loads for diesel generators on the basis of demand for the power of the ship's power system, in general, depending on the specific mode of navigation. It is concluded that optimization of the diesel-electric ship propulsion and power generation system using a genetic algorithm leads to a significant reduction in fuel consumption for two of the three modes of operation (transit (1) and dynamic positioning (3)).The paper describes an optimization procedure focused on the optimal design of the diesel-electric ship propulsion system. In particular, a genetic algorithm was used to find fuel-efficient loads for diesel generators based on the load demand of the ship's power system.