PMU-based estimation of dynamic state jacobian matrix and dynamic system state matrix in ambient conditions

Xiaozhe Wang, Janusz W. Bialek, Konstantin Turitsyn

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

In this paper, a hybrid measurement- and model-based method is proposed which can estimate the dynamic state Jacobian matrix and the dynamic system state matrix in near real time utilizing statistical properties extracted from PMU measurements. The proposed method can be used to detect and identify network topology changes that have not been reflected in an assumed network model. Additionally, an application of the estimated system state matrix in online dynamic stability monitoring is presented.

Original languageEnglish
Pages (from-to)681-690
Number of pages10
JournalIEEE Transactions on Power Systems
Volume33
Issue number1
DOIs
Publication statusPublished - Jan 2018

Keywords

  • Dynamic state Jacobian matrix
  • Dynamic system state matrix
  • Online dynamic stability monitoring
  • Phasor measurement units
  • Topological error identification

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