Application of Recurrence Quantification Analysis to Power System Dynamic Studies

被引：30

作者：

Bhui, Pratyasa ^{[1
]}

Senroy, Nilanjan ^{[1
]}

机构：

[1] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2016年 / 31卷 / 01期

关键词：

Denoising; power system disturbance; event location; dynamic event; recurrence quantification analysis; RQA; EMPIRICAL MODE DECOMPOSITION; RANKING; TIME; IDENTIFICATION; LOCATION; PLOTS; NOISE;

D O I：

10.1109/TPWRS.2015.2407894

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recurrence quantification analysis (RQA) is a non-linear data analysis technique that can quantify the number and duration of a dynamical system of being in nearly the same area in phase space trajectory. This paper proposes three applications of RQA to analyse power system dynamics. These are denoising of PMU data, localization of power system events, and transient stability contingency ranking of power system. All three applications have been demonstrated using a multimachine test system.

引用

页码：581 / 591

页数：11

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