E3S Web of Conferences (Jan 2019)

Householder-based Prony Method for Identification of Low-frequency Oscillation in Power System

  • Zhang Simin,
  • Liu Guangye,
  • Li Yaxin,
  • Yao Jiangang

DOI
https://doi.org/10.1051/e3sconf/201911802073
Journal volume & issue
Vol. 118
p. 02073

Abstract

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In this paper, the Prony analysis tool with the software used in the actual operation has a large error. The improved Prony method is used to identify the low-frequency oscillation mode of the power system. The traditional Prony algorithm has the problem of insensitivity to parameter error estimation in low frequency oscillation, which affects the accuracy and accuracy of the least squares calculation. Therefore, this paper proposes a Prony method power system low frequency oscillation method using Householder transform to make the calculation more Accurate and proven to be more efficient and reliable.