Feature Extraction of Low Frequency Oscillation in Power System Using Hilbert-Huang Transform

被引：1

作者：

Munir, Buyung Sofiarto ^{[1
,3
]}

Trisetyarso, Agung ^{[1
]}

Reza, Muhamad ^{[2
,4
]}

Abbas, Bahtiar Saleh ^{[1
]}

机构：

[1] Bina Nusantara Univ, Dept Doctor Comp Sci, Jakarta, Indonesia

[2] Telkom Univ, Elect Engn Fac, Bandung, Indonesia

[3] PLN Res Inst, Jakarta, Indonesia

[4] Solvina Int AB, Gothenburg, Sweden

来源：

TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS | 2019年 / 8卷 / 01期

关键词：

Hilbert-Huang Transform; Phasor Measurement Unit; Power System Oscillation; Instantaneous Power; Stable Signal;

D O I：

10.18421/TEM81-02

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Power system oscillation is one of the phenomena that can cause problem in power system that can even lead to outage. Using data of phasor sifting in power system available through Phasor Measurement Unit (PMU) implementation, power system oscillations could be observed directly. However, to predict the condition of power system, the recorded phasor data need to be processed to obtain the quantitative measures. In this paper, important parameters are extracted by applying Hilbert Huang Transform (HHT) to phasor signal taken from PMU. The stable and oscillation condition are determined by the parameters that show the increasing power of each frequency over period of time. Validation is conducted by using simulation data that represents characteristic of PMU data.

引用

页码：12 / 17

页数：6

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