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基于MEEMD与MP的电网低频振荡模态识别
引用本文:张程,,刘佳静,蔡思静,林谷青,匡宇.基于MEEMD与MP的电网低频振荡模态识别[J].陕西电力,2022,0(4):89-95.
作者姓名:张程    刘佳静  蔡思静  林谷青  匡宇
作者单位:(1.福建工程学院电子电气与物理学院,福建福州 350118;2.智能电网仿真分析与综合控制福建省高校工程研究中心,福建福州 350118)
摘    要:针对目前电力系统低频振荡模态辨识的精确性和抗干扰性问题,提出了一种基于改进集合经验模态分解方法与矩阵束的电网低频振荡模态特征辨识新方法。首先利用改进集合经验模态分解方法将采集到的量测信号分解,从而获得若干个IMF分量序列及其残余量,再将剩余项去除后把其余本征模态函数进行重构,最后把重构信号通过矩阵束的分析来获知各个振荡模式信息。数值信号和EPRI-36节点系统的仿真验证了所提方法的有效性。

关 键 词:低频振荡  MEEMD  矩阵束  排列熵  模态识别

Low Frequency Oscillation Modal Identification of Power Grid Based on MEEMD and MP
ZHANG Cheng,,LIU Jiajing,CAI Sijing,LIN Guqing,KUANG Yu.Low Frequency Oscillation Modal Identification of Power Grid Based on MEEMD and MP[J].Shanxi Electric Power,2022,0(4):89-95.
Authors:ZHANG Cheng    LIU Jiajing  CAI Sijing  LIN Guqing  KUANG Yu
Affiliation:(1. School of Electronic Electrical Engineering and Physics,Fujian University of Technology, Fuzhou 350118,China;2. Fujian Provincial University Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid,Fujian University of Technology,Fuzhou 350118,China)
Abstract:In the light of the problems of accuracy and anti-interference of low-frequency oscillation mode identification in current power systems,a new method for low-frequency oscillation mode feature identification is proposed based on modified ensemble empirical mode decomposition method & matrix pencil. Firstly,the measurement signal with added noise components is decomposed into a series of intrinsic mode function(IMF) component sequences through MEEMD. The remaining items in the component sequence are removed and the remaining IMF components are reconstructed. Finally,the reconstructed signal is analyzed by MP method to extract the characteristic parameters of low-frequency oscillation frequency. Simulation results of numerical signal and EPRI-36 node system verify the effectiveness of the proposed method.
Keywords:low frequency oscillation  MEEMD  matrix pencil  permutation entropy  modal identification
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