Measurement-based hybrid approach for ringdown analysis of power systems

Theofilos A. Papadopoulos, Andreas I. Chrysochos, Eleftherios O. Kontis, Panagiotis N. Papadopoulos, Grigoris K. Papagiannis

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

System identification methods have been widely used for the study of low frequency electromechanical oscillations and the development of low order dynamic models. This paper introduces a hybrid frequency/time-domain approach to estimate the dominant modes contained in ringdown responses of power systems. Practical issues and solutions encountered in the application of the hybrid method are discussed. The performance of the proposed technique is evaluated by applying the Monte Carlo method to synthetic signals and simulated responses from a large-scale power system, as well as to measurements recorded in a microgrid laboratory test facility. Results in all cases proved to be very accurate, verifying the robustness of the proposed method.

LanguageEnglish
Pages4435-4446
Number of pages12
JournalIEEE Transactions on Power Systems
Volume31
Issue number6
Early online date19 Jan 2016
DOIs
Publication statusPublished - 30 Nov 2016

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Test facilities
Dynamic models
Identification (control systems)
Monte Carlo methods

Keywords

  • dynamic equivalencing
  • least-squares methods
  • mode estimation
  • ringdown analysis
  • system identification
  • system measurements

Cite this

Papadopoulos, Theofilos A. ; Chrysochos, Andreas I. ; Kontis, Eleftherios O. ; Papadopoulos, Panagiotis N. ; Papagiannis, Grigoris K. / Measurement-based hybrid approach for ringdown analysis of power systems. In: IEEE Transactions on Power Systems. 2016 ; Vol. 31, No. 6. pp. 4435-4446.
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Measurement-based hybrid approach for ringdown analysis of power systems. / Papadopoulos, Theofilos A.; Chrysochos, Andreas I.; Kontis, Eleftherios O.; Papadopoulos, Panagiotis N.; Papagiannis, Grigoris K.

In: IEEE Transactions on Power Systems, Vol. 31, No. 6, 30.11.2016, p. 4435-4446.

Research output: Contribution to journalArticle

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