Subsynchronous Oscillation Detection Based on Sample Entropy

被引：0

作者：

Zhu, Zhenshan ^{[1
]}

Liao, Qingfen ^{[1
]}

Liu, Dichen ^{[1
]}

Han, Xiangyu ^{[1
]}

机构：

[1] Wuhan Univ, Sch Elect Engn, Wuhan, Peoples R China

来源：

2014 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (IEEE PES APPEEC) | 2014年

关键词：

Detection; sample entropy; sub-synchronous oscillation; torque; LMS ADAPTIVE FILTER;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

A new method based on sample entropy algorithm that can perform real-time detection of sub-synchronous oscillation is proposed. The rotor torque signal is chose to be analyzed. The sample entropy of rotor torque during continuous period is calculated. Sub-synchronous oscillation detection is achieved by analyzing the variation of sample entropy. The method needs less data and has good anti-interference ability. The effectiveness of the proposed method is proven by the result of the IEEE first benchmark system model simulation.

引用

页数：4

共 14 条

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