Abstract
Using particle swarm optimization algorithm, aiming at the investment cost, filtering effect and reactive power compensation ability of passive filter, the weight of each objective function is determined according to the dispersion order method, and the passive filter is designed by multi-objective optimization. In addition, the actual calculation is carried out by taking the power grid parameters of the self-elevating and self-propelled petroleum engineering ship of “Feng Long 01” as an example. Further, a ship power grid simulation model is built under the Matlab/Simulink environment to verify the practicality of the optimized passive filter design.
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