基于非线性规划遗传算法的并网逆变器LCL滤波器参数优化研究

Study on Parametric Optimization of LCL Filter of Grid-connected Inverter Based on Nonlinear Programming Genetic Algorithm

并网逆变器是新能源发电系统与电网的接口,通常采用LCL滤波器滤波。因此LCL滤波器参数成为了研究热点,提出了大量的设计方法。传统LCL滤波器参数设计方法计算复杂,给设计带来了困难且存在设计参数性能低等问题。提出了基于非线性规划遗传算法优化设计LCL滤波器参数。通过设计实例的Matlab仿真验证了设计方法的正确性和有效性,可以给工程人员提供有力的设计依据。

LCL filter is usually used in grid-connected inverter,which is the inter-face between new energy generation system and power grid.Therefore,the parameters of LCL filter have become a hot research topic and a large number of design methods have been proposed.The traditional LCL filter parameter design method is complex in calculation,which brings difficulties to the design and has such problems as low performance of the design parameters etc.The optimal design of LCL filter parameters based on nonlinear programming genetic algorithm is proposed.The correctness and validity of the design method are verified by Matlab simulation of real design examples so to provide a powerful design basis for engineers.