Statistical analysis of empirical magnitude and phase response estimates with applications to power system identification

Author

Gurudatha, Pai K. ; Pierre, John W.

Author_Institution

Electr. & Comput. Eng., Univ. of Wyoming, Laramie, WY, USA

fYear

2011

fDate

4-6 Aug. 2011

Firstpage

1

Lastpage

7

Abstract

This paper discusses the analysis of power system probing data with a nonparametric system identification method called Empirical Transfer Function Estimate (ETFE). ETFE is the ratio of the Discrete Fourier Transforms (DFT) of the output and the input signals. Expressions for statistical moments of the magnitude and phase response estimates for ETFE are derived and estimated. A simple method for estimation of noise spectrum is also discussed. The paper discusses the application of these results to low level probing tests of the western North American power system (wNAPS). The results from simulation data and measured PMU data are reported.

Keywords

discrete Fourier transforms; power system identification; statistical analysis; DFT; discrete Fourier transforms; empirical magnitude; empirical transfer function estimate; noise spectrum; nonparametric system identification method; phase response estimates; power system identification; power system probing data; statistical analysis; western North American power system; Discrete Fourier transforms; Estimation; Monte Carlo methods; Noise; Power systems; Random variables; Transfer functions; Power system identification; frequency domain analysis; non parametric methods; phasor measurements; power system modeling; system identification;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2011

Conference_Location

Boston, MA

Print_ISBN

978-1-4577-0417-8

Electronic_ISBN

978-1-4577-0418-5

Type

conf

DOI

10.1109/NAPS.2011.6025121

Filename

6025121