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Abstract ▼ AI-Helper

This paper proposes a new approach for designing LCL filter parameters for renewable energy sources by using intelligent optimization method. Generally, the renewable energy sources connected to power converter system can cause high-order harmonics with the fundamental frequency around the switching...

This paper proposes a new approach for designing LCL filter parameters for renewable energy sources by using intelligent optimization method. Generally, the renewable energy sources connected to power converter system can cause high-order harmonics with the fundamental frequency around the switching frequency. On the other hand, an LCL filter is known as an effective method on reducing harmonic distortion at the switching frequency. However, design of an LCL filter requires effective ways to achieve good filtering effect because it is not simple to choose the proper LCL filter parameters. This paper presents a design method by using advanced bacterial foraging optimization and a new object function. In order to verify the performance of the proposed method, a photovoltaic system modeled by Matlab/simulink is used in this simulation. The simulation results show that the proposed method is 3% more effective than conventional methods.

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