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Efficient signal processing technique for information extraction and its applications in power systems

机译：信息提取的高效信号处理技术及其在电力系统中的应用

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This paper describes a novel mathematical method for decomposing power system signals obtained from measurements and monitoring of power systems. The technique is characterized as a self-based decomposition since the own system signals generate the basis used in the analysis. The resulting decomposition is sensitive to the system operation and is strongly related to the system operating parameters and power consumption, even when signals are non-purely sinusoidal. Mathematical theory is carefully exposed and three potential applications in power systems are presented to prove the efficiency of the signal processing method: high-impedance fault detection in three-phase distribution systems, single-phase VAR and harmonic compensator and three-phase voltage filtering. The investigation demonstrates that the technique is an effective signal-processing tool for power system applications, such as signal filtering and nonlinear process detection. (C) 2016 Elsevier B.V. All rights reserved.
机译：本文介绍了一种新的数学方法，用于分解从电力系统的测量和监视获得的电力系统信号。该技术的特点是基于自身的分解，因为自身的系统信号会生成分析所使用的基础。即使信号不是正弦波，所产生的分解对系统操作也很敏感，并且与系统操作参数和功耗密切相关。仔细地阐述了数学理论，并提出了在电力系统中的三个潜在应用来证明信号处理方法的效率：三相配电系统中的高阻抗故障检测，单相VAR和谐波补偿器以及三相电压滤波。研究表明，该技术是电力系统应用中有效的信号处理工具，例如信号滤波和非线性过程检测。 （C）2016 Elsevier B.V.保留所有权利。

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