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  • 标题:Householder-based Prony Method for Identification of Low-frequency Oscillation in Power System
  • 本地全文:下载
  • 作者:Simin Zhang ; Guangye Liu ; Yaxin Li
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2019
  • 卷号:118
  • 页码:1-4
  • DOI:10.1051/e3sconf/201911802073
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
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