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基于EMD和SSI的电力系统低频振荡模态参数识别方法

李天云 袁明哲 李军强 袁金腾 蔡国伟 钱康

电力系统保护与控制2011,Vol.39Issue(8):6-10,5.
电力系统保护与控制2011,Vol.39Issue(8):6-10,5.

基于EMD和SSI的电力系统低频振荡模态参数识别方法

Method of modal parameter identification of power system low frequency oscillation based on EMD and SSI

李天云 1袁明哲 1李军强 2袁金腾 2蔡国伟 1钱康2

作者信息

  • 1. 东北电力大学电气工程学院,吉林,吉林,132012
  • 2. 温州电力局,浙江,温州,325002
  • 折叠

摘要

Abstract

A new method for indentifying power system low-frequency oscillation modal parameters is proposed based on EMD and SSI towards mechanisms which caused the low frequency oscillation. This method can identify the modal parameters of low-frequency oscillation directly according to measured terminal data. When the system running in normal operation or small disturbance, using SSI can get theweakly damped patterns, frequency, damping and vibration mode directly: when the system running in fault state or abnormal operation, the measured data are filtered and smoothed by using EMD, the corresponding state matrix is identified by SSI, and the above modal parameters of low frequency oscillation are obtained by modal analysis. Both numerical simulations and example analysis indicate that using this method it runs fast and detects accurately. It provides a new idea and method to study low frequency oscillation problem in power systems.

关键词

低频振荡/经验模态分解/时空滤波/随机子空间/振型

Key words

low frequency oscillation/ EMD/ space-time filter/ SSI/ vibration model

分类

信息技术与安全科学

引用本文复制引用

李天云,袁明哲,李军强,袁金腾,蔡国伟,钱康..基于EMD和SSI的电力系统低频振荡模态参数识别方法[J].电力系统保护与控制,2011,39(8):6-10,5.

基金项目

国家自然科学基金项目(50777007) (50777007)

电力系统保护与控制

OA北大核心CSCDCSTPCD

1674-3415

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