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Non-stationary autoregressive model for on-line detection of inter-area oscillations in power systems

  • Denis Sidorov*
  • , Daniil Panasetsky
  • , Václav Šmídl
  • *Corresponding author for this work
  • Melent'ev Institute of Power Engineering Systems
  • Czech Academy of Sciences

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

Abstract

This paper addresses early on-line detection of inter-area electro-mechanical oscillations in power systems using dynamic data such as currents, voltages and angle differences measured across transmission lines in real time. The main objective is to give the transmission operator qualitative information regarding stability margins. In our approach, the observed signal is modeled with the non-stationary second order autoregressive model. Bayesian estimation of the system is based on the forgetting approach. The stability margins are obtained as posterior probabilities that the poles of the estimated system are unstable. The approach is demonstrated on real retrospective data recorded in a 500 kV power grid and voltage data obtained by numerical simulations.

Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010
PublisherIEEE Computer Society
ISBN (Print)9781424485109
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010 - Gothenburg, Sweden
Duration: 11 Oct 201013 Oct 2010

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe

Conference

Conference2010 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT Europe 2010
Country/TerritorySweden
CityGothenburg
Period11/10/1013/10/10

Keywords

  • Autoregressive processes
  • Kalman filtering
  • Power system stability
  • Probability

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