基于燃料电池SAPF的稀疏LMS控制算法

Penthia Trilochan, M. Mrutyunjaya, P. Kumar, S. S. Kumar
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引用次数: 9

摘要

为了在配电系统中提供更好的电能质量服务,对自定义电源器件(CPD)拓扑结构进行了大量的修改和混合。由于电力系统的复杂性,选择合适的自适应控制算法也是研究人员面临的一个难题。本文将稀疏最小均方(SLMS)控制算法应用于基于三相质子交换膜燃料电池(PEMFC)的并联有源电力滤波器(SAPF)中,以缓解电能质量问题。特别地,成功地实现了源电流的谐波缓解、电压调节和系统的功率因数。该算法即使在故障条件下也能提供平衡且几乎无谐波的供电电流。生成参考源电流,然后提取富谐波负载电流的基基有功分量和无功分量的加权值。其目的是通过产生适当的开关信号来维持SAPF的直流链路电压。在MATLAB环境下进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sparse LMS control algorithm for Fuel Cell based SAPF
Nowadays, modification and hybridization of the Custom Power Device (CPD) topology are occurring massively to provide the better power quality service in the distribution system. The selection of a suitable adaptive control algorithm for such CPD is also a tough job for the researchers due to the complexity of the power system. In this paper, the Sparse Least Mean Square (SLMS)control algorithm is implemented in a three-phase Proton Exchange Membrane Fuel Cell (PEMFC) based Shunt Active Power Filter (SAPF) to mitigate the power quality problems. Particularly, harmonic mitigation of source current, voltage regulation and power factor of the system are attained successfully. The performance of this suggested SLMS algorithm affords a balanced and almost harmonic-free supply current even under fault conditions. The reference source currents are generated followed by extracting the weighted values of fundamental active and reactive components of harmonic rich load current. The intention is to maintain the DC-link voltage of the SAPF by generating appropriate switching signals. The simulation has been performed in the MATLAB environment.
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