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Methodology for information extraction from oscillograms and its application for high-impedance faults analysis

机译:示波图信息提取方法及其在高阻抗故障分析中的应用

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摘要

Safety and quality of supply represent targets that power distribution companies always strive to meet. Among those occurrences that can have simultaneous deleterious effects on both these targets, High-Impedance Faults (HIFs) stand out since the magnitudes of the effects on the system are too small to activate the relevant system protection devices. In this context, the main aim of this article is to present a new mathematical method for analysis of power systems transient events. This technique was used in the pre-processing of signals to help locate and identify Single Line-to-Ground (SLG) faults. The orthogonal component decomposition technique was tested qualitatively with the help of a real fault oscillogram recorded at a power distribution substation. Computer simulations based on a real distribution feeder model were performed and the numerical results showed that decomposition by Orthogonal Components was able to extract information with more than 80% correlation with the fault occurrence, almost 70% for the location and showed great immunity to the fault resistance effect. (C) 2015 Elsevier Ltd. All rights reserved.
机译:供应的安全和质量是配电公司始终努力实现的目标。在可能同时对这两个目标产生有害影响的那些事件中,高阻抗故障(HIF)脱颖而出,因为对系统的影响程度太小,无法激活相关的系统保护设备。在这种情况下,本文的主要目的是提出一种用于分析电力系统暂态事件的新数学方法。此技术用于信号的预处理,以帮助定位和识别单线接地故障(SLG)。正交分量分解技术在配电变电站记录的实际故障波形图的帮助下进行了定性测试。进行了基于真实分布馈线模型的计算机仿真,数值结果表明,正交分量分解能够提取与故障发生率相关性超过80%,位置相关性接近70%的信息,并显示出对故障的极大抵抗力抵抗作用。 (C)2015 Elsevier Ltd.保留所有权利。

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