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Application of a Hybrid Method for Power System Frequency Estimation with a 0.2-second Sampled Period

机译：混合方法在0.2秒采样周期的电力系统频率估计中的应用

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摘要

The signal processing technique is one of the principal tools for diagnosing power quality (PQ) issues in electrical power systems. The Discrete Fourier Transform (DFT) is a frequency analysis technique used to process power system signals and identify PQ problems. However, the DFT algorithm may lead to spectral leakage and picket-fence effect problems for asynchronously sampled signals that contain harmonic, inter-harmonic, and flicker components. To resolve this shortcoming, a hybrid method for frequency estimation based on a second-level DFT approach and a frequency-domain interpolation algorithm to obtain the accurate fundamental frequency of a power system is proposed in this paper. This method uses a second-level DFT to compute the cosine and sine parts for the fundamental frequency components of the acquired signals. Then, a frequency-domain interpolation approach is adopted to determine the amplitude ratio for the cosine and sine parts of the system’s fundamental frequency. A set of mixed signals with harmonic, inter-harmonic, and flicker components with the fundamental frequency deviation is used. The evaluation results demonstrate the superiority of the new method over other approaches for assessing asynchronously sampled signals contaminated with noise, harmonic, inter-harmonic, and flicker components.
机译：信号处理技术是诊断电力系统中电能质量（PQ）问题的主要工具之一。离散傅立叶变换（DFT）是一种频率分析技术，用于处理电力系统信号和识别PQ问题。但是，对于包含谐波，间谐波和闪烁分量的异步采样信号，DFT算法可能会导致频谱泄漏和纠偏效应问题。为了解决这一缺点，提出了一种基于二级DFT方法和频域插值算法的混合频率估计方法，以获取准确的电力系统基本频率。此方法使用第二级DFT计算所采集信号的基本频率分量的余弦和正弦部分。然后，采用频域插值方法来确定系统基本频率的余弦和正弦部分的振幅比。使用了一组具有谐波，间谐波和闪烁分量且具有基本频率偏差的混合信号。评估结果表明，该新方法优于其他方法来评估被噪声，谐波，间谐波和闪烁分量污染的异步采样信号。

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