Parameter Optimization Method for LCLLC Filter of Photovoltaic Grid Connected Inverter Based on Improved Multi-objective Particle Swarm Optimization Algorithm
The LCLLC filter has the advantages of both LCL and LLCL filters,with good high-frequency harmonic attenuation effect and the ability to filter out harmonics at the switching frequency,and its performance mainly depends on the design of parameters.For the LCLLC filter,the parameter design is complex,and the traditional design methods are too conservative with high cost.Single objective algorithm and traditional multi-objective optimization algorithm have problems such as difficulty in weight selection,poor convergence and optimization effect.An analysis was conducted on the harmonics of LCLLC filters,and a multi-objective parameter optimization method was proposed.The optimization objectives were to minimize ripple current,harmonic current attenuation ratio,and the total cost.The optimal parameter combination of the LCLLC type filters was obtained using the proposed triple competitive crossbar multi-objective particle swarm optimization algorithm.Finally,the LCLLC type filter in the photovoltaic grid connected system was simulated u-sing Matlab/Simulink software.The results demonstrate the correctness and effectiveness of the designed scheme.
LCLLC filterparameter designmulti-objective optimizationtriple competitionvertical and horizontal crossing scheme
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