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首页> 外文期刊>Smart Grid, IEEE Transactions on >Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and $S$-Transform
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Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and $S$-Transform

机译：小波和$ S $变换的并网混合电力系统孤岛和电能质量扰动检测

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摘要

In this paper, comparative study between wavelet transform (WT) and $S$-transform (ST) based on extracted features for detection of islanding and power quality (PQ) disturbances in hybrid distributed generation (DG) system is presented. The hybrid system consists of DG resources like photovoltaic, fuel cell, and wind energy systems connected to grid. The negative sequence component of the voltage signal is used in islanding detection of these resources from the grid. Voltage signal extracted directly at the point of common coupling is considered for detection of PQ disturbances. Further, the effect of variation of grid impedances on islanding and PQ disturbances and effect of islanding on the coherency between the energy resources is also presented in this paper. The study for different scenarios of DG system is presented in the form of time-frequency analysis. The energy content and standard deviation of ST contour and WT signal is also reported in order to validate the graphical results. The results demonstrate the advantages of $S$ -transform over WT in detection of islanding and different disturbances under noise-free as well as noisy scenarios.
机译：本文提出了基于提取特征的小波变换（WT）与$ S $变换（ST）之间的对比研究，用于检测混合分布式发电（DG）系统中的孤岛和电能质量（PQ）干扰。混合系统由分布式能源组成，例如光伏，燃料电池和连接到电网的风能系统。电压信号的负序分量用于从电网孤岛检测这些资源。考虑在公共耦合点直接提取的电压信号用于检测PQ干扰。此外，本文还提出了电网阻抗变化对孤岛和PQ干扰的影响以及孤岛对能源之间的相干性的影响。以时频分析的形式提出了针对分布式发电系统不同场景的研究。还报告了ST轮廓和WT信号的能量含量和标准偏差，以验证图形结果。结果证明了$ S $变换优于WT的优势，可在无噪声以及嘈杂的情况下检测出孤岛和不同的干扰。

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