NDLI: Impact of close oscillation modes on the typical algorithms for the low frequency oscillation parameter identification of power systems

Content Provider	IEEE Xplore Digital Library
Author	Yan Qiao Ancheng Xue Zihua Huang Tianshu Bi Chengrong Li
Copyright Year	2014
Description	Author affiliation: State Key Lab. for Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China (Yan Qiao; Ancheng Xue)
Abstract	There are close oscillation modes exist in large-scale power systems. However, whether the low frequency oscillation (LFO) identification algorithms can distinguish the close frequencies or not is a problem needs to be solved urgently. This paper studies the frequency distinguish ability of Prony, Esprit and Matrix Pencil (MP) three typical identification algorithms based on measurements. Firstly, this paper proposes a criterion that can determine whether the algorithms can distinguish two close frequencies or not. And then, under no noise circumstance, simulates the analog signals and 2-Area system, obtains the frequency resolution of each algorithm. Furthermore, under noise circumstance, acquires the frequency resolution of each algorithm based on identifying analog signals and field measured data.
Starting Page	655
Ending Page	661
File Size	641198
Page Count	7
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise Oscillators Power systems Signal resolution Frequency measurement Simulation Damping power system close oscillation modes frequency resolution low frequency oscillation online parameter identification
Content Type	Text
Resource Type	Article

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