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Method for detecting in real time of disturbance voltage signals in the transmission and distribution networks of electric power

机译:实时检测电力输配电网中干扰电压信号的方法

摘要

Method for detecu00e7u00e0o, in real time, disturbance signals to teijsao in network transmission and distribution of electrical energy, comprises a uni method for the detection of disturbance voltage signals in the transmission and distribution networks of electric power is constituted of The following parties: (a) techniques of signal processing, based on the bandstop filter of 2 order.Implemented in the field of operator lie, applied for the extraction of transient component (1),Which is defined as the subtraction of the fundamental component of the voltage signal; (b) processing techniques of signals applied to the extraction of parameters based on higher order statistics of the transitory component; (2) the) grading techniques based on linear and network Neural MLP to, from the vector of parameters based on higher order statistics.To generate a numerical value to be analyzed for the purpose of detecu00e7u00e0o (3); (d) technique heaveside to inform from the outlet of the linear classifiers, applied when the window signal has length equal to 128 and 256, and those based on neural network MLP, designed for use when windows of S. Inais whose lengths are equal to the 32 and 64.If occurred or not in the window of the disturbance voltage signal portion (4) and, finally, use the procedure for detection of disturbances in the voltage signal to detect the second initial and final occurrence of the disorder (5).
机译:一种用于实时检测在电网传输和分配电能时对teijsao的干扰信号的方法,包括一种用于检测电能在输配电网络中干扰电压信号的方法,该方法包括以下几种:各方:(a)基于二阶带阻滤波器的信号处理技术。在算子谎言领域中应用,用于提取瞬态分量(1),其定义为减去基波基本分量电压信号(b)基于瞬时分量的高阶统计量的,用于提取参数的信号处理技术; (2)基于线性和网络神经网络MLP的分级技术,从基于高阶统计量的参数向量中进行分级。生成用于detec u00e7 u00e0o的待分析数值(3); (d)从线性分类器的出口通知的技术,当窗口信号的长度等于128和256时采用线性分类器,以及基于神经网络MLP的线性分类器,设计用于当长度为S. Inais的S. Inais时使用32和64。如果是否在干扰电压信号部分的窗口中发生(4),最后,使用检测电压信号中干扰的过程来检测第二次初始和最终发生的干扰(5) 。

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