Power Quality Problems, Signature Method for Voltage Dips and Swells Detection, Classification and Characterization

Lucien Duclos Ndoumbe, S. Eke, Charles Hubert Kom, A. Yeremou, Arnaud Nanfak, Gildas Martial Ngaleu
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引用次数: 1

Abstract

Received: 9 September 2020 Accepted: 13 May 2021 This paper is in the field of electric power quality monitoring and presents a new approach for the identification, classification and characterization of the nine voltage dips and swells in electricity networks. The proposed method is based on the study in the complex plane of the signatures of the different voltage dips and swells. In the study of these signatures, the elements taken into account are the root mean square (RMS) values of the phases, the existence or not of an additional phase shift of the voltages and their rotation sense. The informations obtained are synthesized in three variables, and used to the implementation of the method. The results found by the computer simulations carried out by the MATLAB/Simulink software show that the proposed approach uses few parameters, is easy to implement and understand, and makes it possible to efficiently detect, classify and characterize the nine voltage dips and swells.
电能质量问题,电压下降和膨胀检测的特征方法,分类和表征
本文属于电能质量监测领域,提出了一种新的方法来识别、分类和表征电网中的9种电压降和电压膨胀。本文提出的方法是基于对不同电压跌落和膨胀特征的复平面的研究。在这些特征的研究中,考虑的因素是相位的均方根(RMS)值,电压是否存在额外的相移及其旋转感。将得到的信息合成为三个变量,并用于该方法的实现。利用MATLAB/Simulink软件进行的计算机仿真结果表明,该方法使用的参数少,易于实现和理解,能够有效地检测、分类和表征9种电压起伏。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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