Research on Power Quality Disturbance Signal Classification Based on Random Matrix Theory

• 作者: Dongli Jia Fengzhan Zhao Kaiyuan He Keyan Liu Tingting Zhao
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Power quality DISTURBANCE RANDOM MATRIX THEORY Mean SPECTRAL RADIUS
• 年，卷（期）: 2017,（2）
• 页码范围: 86-88
• 页数: 3页
• 分类号: C5

摘要

In this paper, a method of power quality disturbance classification based on random matrix theory (RMT) is proposed. The method utilizes the power quality disturbance signal to construct a random matrix. By analyzing the mean spectral radius (MSR) variation of the random matrix, the type and time of occurrence of power quality disturbance are classified. In this paper, the random matrix theory is used to analyze the voltage sag, swell and interrupt perturbation signals to classify the occurrence time, duration of the disturbance signal and thedepth of voltage sag or swell. Examples show that the method has strong anti-noise ability.