Robust Data Filtering for Estimating Electromechanical Modes of Oscillation via the Multichannel Prony Method

Marcos Netto, Lamine Mili

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

This paper develops a robust estimator of correlation as a data preprocessing stage to the Prony method that is able to suppress white impulsive noise. The method consists of the following steps. First, the bus voltage magnitudes and phase angles are combined to build a set of complex-valued measurements. Second, the outliers of the complex-valued data samples, which are induced by impulsive noise, are identified and suppressed using the iteratively reweighted phase-phase correlator; the latter is a robust estimator of correlation for complex-valued Gaussian processes, which has been extended here to handle outliers in both magnitude and phase angle of voltage phasor measurements. Finally, the classical Prony method is applied on the robustly estimated voltage phase angles. The good performance of the proposed method is demonstrated through simulations carried out on the two-area four-machine system, on the simplified WECC 179-bus system, as well as on real PMU data. Simulation results show that the method is very fast to compute and is compatible with real-time application requirements.

Original languageEnglish (US)
Pages (from-to)4134-4143
Number of pages10
JournalIEEE Transactions on Power Systems
Volume33
Issue number4
DOIs
StatePublished - Jul 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Keywords

  • Electromechanical modes
  • Prony method
  • modal analysis
  • phase-phase correlator
  • power system oscillations
  • robust data filtering
  • spectral analysis
  • stability analysis

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