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Design of LCL Filter for Renewable Energy SourcesUsing Bacterial Foraging Optimization

机译:可再生能源源区化细菌觅食优化的LCL过滤器设计

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As the traditional resources have become rare, renewable energy sources are developing quickly. The grid connected renewable sources is one of the most importance problem in smart grid fields. To reduce harmonic in this grid, many filter techniques have been developed. Compared traditional L filter, a LCL filter is more effective on reducing harmonic distortion at switch frequency. So, it is important to choose the LCL filter parameters to achieve good filtering effect. In this paper, a design method of LCL filter by bacterial foraging optimization is proposed. Simulation result and calculate data are provided to prove that the pro-posed method is more effective and simple than traditional methods.
机译:随着传统资源变得罕见的,可再生能源迅速发展。网格连接的可再生能源是智能电网字段中最重要的问题之一。为了减少该网格中的谐波,已经开发了许多过滤技术。与传统的L滤波器相比,LCL滤波器在切换频率下降低谐波失真更有效。因此,重要的是选择LCL过滤器参数以实现良好的过滤效果。本文提出了一种通过细菌觅食优化的LCL过滤器的设计方法。提供了仿真结果和计算数据,以证明Pro-adosed方法比传统方法更有效和简单。

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