Iterative prony method based power system low frequency oscillation mode analysis and PSS design

Guoqiang Hu, Renmu He, Huachun Yang, Peng Wang, Rui Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

This paper presents an identification method based on the iterative Prony to identify transfer function and configure PSS parameters using residue way. The iterative Prony is a very useful method to acquire power system oscillation modes, by which the system eigenvalue, oscillation frequency, amplitude, damping and relative phase can be directly estimated using the response of given input signals. Considering the influence of input signal on output signal, the iterative Prony can acquire the transfer function of power system, then, according to the corresponding residues we conducted coordinated setting of power system stabilizer (PSS) by residue method. The simulation results for two testing system examples prove that this proposal method is effective in the power system oscillation mode analysis and parameters determination of PSS, can improve eigenvalues of system and can enhance system damping after PSSs whose parameters are optimized by above method are built into power system.

Original languageEnglish
Title of host publicationProceedings - 2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
Pages1-6
Number of pages6
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific - Dalian, China
Duration: 15 Aug 200518 Aug 2005

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2005

Conference

Conference2005 IEEE/PES Transmission and DistributionConference and Exhibition - Asia and Pacific
Country/TerritoryChina
CityDalian
Period15/08/0518/08/05

Keywords

  • Coordinated control
  • Iterative Prony analysis
  • Low frequency oscillation
  • Power system
  • Transfer function identification

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