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

机译:利用下采样经验模式分解和Teager能量算子的微电网差动保护方案

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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:提出了一种基于频谱能量含量和电流信号相量偏差的微电网差动保护方案。基于噪声鲁棒下采样的经验模式分解(DEMD)技术用于获取电流和电压波形的固有模式函数(IMF)。 Teager能量运算符用于跟踪IMF的瞬时能量含量。电压和电流波形之间的皮尔逊相关系数被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情况。所提出的方案针对故障和无故障情况进行了广泛的验证,在并网和孤岛运行模式下,径向和环路拓扑的运行参数变化很大。发现该性能在可靠性,安全性和速度方面令人满意。仿真结果也表明了该方法对数据同步误差的抵抗力。由于DEMD算法的计算复杂度较低,并且使用简单的阈值进行分类,因此该方法可行且可胜任实时应用。

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