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

Autor:	Fengzhan Zhao, Tingting Zhao, Kaiyuan He, Dongli Jia, Keyan Liu
Rok vydání:	2017
Předmět:	Spectral radius business.industry Perturbation (astronomy) Pattern recognition Swell Signal classification Control theory Voltage sag Power quality Artificial intelligence Interrupt business Random matrix Mathematics
Zdroj:	Communications in Computer and Information Science ISBN: 9789811063879 ICPCSEE (2)
Popis:	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 the depth of voltage sag or swell. Examples show that the method has strong anti-noise ability.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc2c27e2ee2dfc5a45f06148224f0754 https://doi.org/10.1007/978-981-10-6388-6_30 Zobrazit plný text záznamu