ZHANG Yang, DENG Jiangwei, CHENG Zhun. Optimization of Passive Damping Parameters of SWISS Rectifier Based on LCL Filter Genetic Algorithm[J]. 2022, 42(6): 46-53.
ZHANG Yang, DENG Jiangwei, CHENG Zhun. Optimization of Passive Damping Parameters of SWISS Rectifier Based on LCL Filter Genetic Algorithm[J]. 2022, 42(6): 46-53. DOI: 10.3969/j.issn.1008-0198.2022.06.008.
Optimization of Passive Damping Parameters of SWISS Rectifier Based on LCL Filter Genetic Algorithm
The improved SWISS rectifier has the advantage of eliminating the commutation dead time without introducing active devices. However
the introduction of LCL filter has the problems of difficult parameter selection and current distortion caused by resonance. In this paper
for improving the SWISS rectifier
the relationship between the network-side current distortion and oscillation problems and the damping coefficient of LCL filter is analyzed
the LCL filter transfer function is constructed
the Bode diagram with different damping is compared
and a genetic algorithm passive damping parameter optimization method with minimized inductance ratio
maximized harmonic attenuation and minimized power loss of the objective function is proposed. The simulation results show that the improved SWISS rectifier front-stage LCL filter network side current harmonic content is significantly lower than the traditional trial-and-error method
the overall dynamic performance of the system is better
moreover
the parameters obtained from the global optimization of genetic algorithm have good convergence
and to some extent
the problem of choosing LCL filter parameters is solved because of the tedious steps.
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references
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