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Adaptation of SVD and Prony method for precise computation of current components in networks with wind generation.

机译:SVD和Prony方法的改编,用于精确计算风力发电网络中的电流分量。

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摘要

Precise computation of current components is a key prerequisite for reliable assessment of power quality. Especially in networks with wind generation we may observe increased number of possible disturbing phenomena. This paper presents an approach to accurate computation of currents components with two similar parametric methods based on singular value decomposition (SVD) and Prony model. Those methods seem to be applicable for the detection of non integer multiples of the main frequency in decaying signals. Results of both methods have been compared and evaluated. with respect to traditional Fourier method.
机译:精确计算当前组件是可靠评估电源质量的关键前提。特别是在有风力发电的网络中,我们可能会观察到更多的可能的干扰现象。本文提出了一种基于奇异值分解(SVD)和Prony模型的,使用两种相似的参数方法来精确计算电流分量的方法。这些方法似乎适用于检测衰减信号中主频率的非整数倍。比较和评估了两种方法的结果。关于传统的傅立叶方法。

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