LCL filter parameter and control parameter global optimal design method and system based on particle swarm algorithm and medium
A technology of filter parameters and particle swarm algorithm, applied to harmonic reduction devices, AC networks to reduce harmonics/ripples, single-network parallel feeding arrangements, etc., can solve the problem of separately designing system parameters that are difficult to meet the global optimum , unable to comprehensively consider issues such as mutual influence
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[0067] Such as figure 2 As shown, the implementation steps of the LCL filter parameter and control parameter global optimization design method based on the particle swarm optimization algorithm in this embodiment include:
[0068] 1) Determine the LCL filter control system model for comprehensive design of LCL filter parameters and control parameters;
[0069] 2) Considering the filter parameters and control parameters of the LCL filter comprehensively to determine the optimization objectives and constraints of the LCL filter control system model;
[0070] 3) Initialize the filter parameters of the LCL filter control system model and the value boundary range or value of the control parameters;
[0071] 4) Determine the fitness function of the particle swarm algorithm to evaluate the particle according to the optimization target of the LCL filter control system model;
[0072] 5) According to the fitness function, the particle swarm optimization algorithm is used to optimize...
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