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Microgrid differential protection scheme using downsampling empirical mode decomposition and Teager energy operator

机译:微电网差动保护方案使用下采样的经验模式分解和茶叶能量运算符

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摘要

This paper proposes a differential protection scheme for microgrid based on spectral energy content and phasor deviation of the current signals. A noise robust downsample based empirical mode decomposition (DEMD) technique is employed for fetching intrinsic mode functions (IMFs) of current and voltage waveforms. Teager energy operator is applied for tracking the instantaneous energy content of the IMFs. Pearson correlation coefficient between voltage and current waveforms is used as an estimation for phasor deviation. Finally, a simple threshold is outlined for the identification of fault and no-fault conditions. The proposed scheme is extensively validated for fault and no-fault situations with wide variations in operating parameters for radial and loop topology in grid-connected and islanded modes of operation. The performance is found to be satisfactory in terms of dependability, security, and speed. Simulation results also show the immunity of the proposed method against data synchronization error. Because of the low computational complexity of the DEMD algorithm and the use of a simple threshold for classification, this method is feasible and competent for real-time applications.
机译:本文提出了一种基于光谱能量含量和电流信号的相量偏差的微电网的差分保护方案。基于噪声的基于噪声的经验模式分解(DEMD)技术用于获取电流和电压波形的内在模式功能(IMF)。茶叶能量操作员用于跟踪IMFS的瞬时能量含量。电压和电流波形之间的Pearson相关系数用作相量偏差的估计。最后,概述了一个简单的阈值,用于识别故障和无故障条件。拟议的方案广泛验证用于故障和无故障情况,在网格连接和岛状操作模式下的径向和循环拓扑中的操作参数具有广泛变化。在可靠性,安全性和速度方面,发现性能是令人满意的。仿真结果还显示了提出的方法对数据同步误差的免疫力。由于DEMD算法的低计算复杂性和使用简单的分类阈值,因此该方法是可行的,并且有能力的实时应用。

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