ZHENG JIALONG. Study on Parametric Optimization of LCL Filter of Grid-connected Inverter Based on Nonlinear Programming Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2019, 40(5): 146-150.
ZHENG JIALONG. Study on Parametric Optimization of LCL Filter of Grid-connected Inverter Based on Nonlinear Programming Genetic Algorithm. [J]. Power capacitor & reactive power compensation, 2019, 40(5): 146-150. DOI: 10.14044/j.1674-1757.pcrpc.2019.05.025.
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.