Optimization of Ship Power System based on Particle Swarm Optimization in Matlab / Simulink

10.6919/ICJE.202205_8(5).0021

Shengchun Zhao；Xihuai Wang

PSO ； Ship Power Simulation ； Matlab / Simulink

International Core Journal of Engineering

8卷5期（2022 / 05 / 01）

164 - 169

英文

In order to improve the reliability and stability of the ship's power system and ensure the optimal configuration of the ship's power under various states, the modular modeling method is used to establish the diesel engine and speed regulation subsystem model, generator and excitation subsystem model, synchronous generator parallel control module model and generator set control model. The typical operating conditions of ship power system are simulated in Matlab / Simulink simulation environment. The simulation results show that the model can accurately reflect the actual operation of the ship power system, and can avoid the high cost and high risk of working condition test and fault test on the real ship. The data results have important reference significance for the design, commissioning and control method of ship power system. Because the control parameters are difficult to set and depend too much on experience, a method of setting parameters by particle swarm optimization (PSO) algorithm is proposed, which has the advantages of short optimization time and simple programming. Through multiple groups of optimization experiments under different system parameters, different given inputs and different loads, the effectiveness of PSO optimization algorithm is verified. Finally, simulation and real-time control experiments verify that the control parameter optimization based on PSO algorithm has a good effect. The multi group optimization experiments also provide some reference for the selection of PSO coding.

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