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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >A Passive Islanding Detection Algorithm Based on Modal Current and Adaptive Boosting
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A Passive Islanding Detection Algorithm Based on Modal Current and Adaptive Boosting

机译：基于模态电流和自适应升压的无源岛检测算法

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摘要

An effective and timely detection of islanding is a task of paramount importance to nullify the potential threat to field personnel and equipment damage. A passive islanding detection method based on modal current and adaptive boosting is proposed in the present work. The three-phase currents of the target distributed generation unit are converted into modal signals reducing the dataset. These modal currents are subsequently decomposed into mono-frequency components by employing empirical mode decomposition tool. The authentic mono-frequency components identified using correlation are transformed with the help of Hilbert transform. Various features like entropy, skewness, power, kurtosis, signal-to-noise ratio, and total harmonic distortion are obtained from Hilbert transform. Subsequently, these features act as the input for the adaptive boosting technique to categorize islanding and non-islanding classes. The results obtained explicitly demonstrate that the proposed methodology is highly accurate with reduced non-detection zone.
机译：有效且及时地检测岛屿是最重要的一项重要性，以便使潜在的威胁造成对现场人员和设备损害的威胁。在本作工作中提出了一种基于模态电流和自适应升压的被动岛检测方法。目标分布生成单元的三相电流被转换为减少数据集的模态信号。随后通过采用经验模式分解工具随后将这些模态电流分解成单频分量。在Hilbert变换的帮助下，使用相关性识别的真实单频分量。从Hilbert变换中获得了熵，偏斜，功率，峰，信噪比和总谐波失真等各种功能。随后，这些特征作为分类岛屿和非岛类类别的自适应升压技术的输入。明确获得的结果表明，所提出的方法具有高精度的非检测区。

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