Self-Correction Strategies for Frequency Domain Ringdown Analysis

Author

Rezaei, Ebrahim ; Lu Zhang ; Venkatasubramanian, Vaithianathan

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA

fYear

2015

fDate

5-8 Jan. 2015

Firstpage

2690

Lastpage

2699

Abstract

This paper introduces a set of self-correction strategies for improved oscillation modal analysis of ring down responses from synchrophasors in frequency domain analysis. It is shown that the modal estimates of frequency, damping ratio and mode shape using the improved frequency domain algorithms of the paper match well with other time-domain algorithms while preserving their inherent advantages of superior noise performance and computational speed. The new algorithms of the paper are especially suited for simultaneous ring down oscillation analysis of large number of Phasor Measurement Unit (PMU) measurements efficiently.

Keywords

frequency estimation; frequency-domain analysis; modal analysis; phasor measurement; power engineering computing; power system dynamic stability; power system harmonics; signal processing; PMU measurements; PMU signals; computational speed; damping ratio; frequency domain algorithms; frequency domain ringdown analysis; frequency estimation; mode shape; noise performance; oscillation modal analysis; phasor measurement unit; power system dynamics; power system stability; ring down oscillation analysis; ring down responses; self-correction strategies; synchrophasors; time-domain algorithms; Algorithm design and analysis; Damping; Estimation; Frequency estimation; Frequency-domain analysis; Phasor measurement units; Shape; Power system stability; Prony methods; damping estimation; oscillations; power system dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences (HICSS), 2015 48th Hawaii International Conference on

Conference_Location

Kauai, HI

ISSN

1530-1605

Type

conf

DOI

10.1109/HICSS.2015.324

Filename

7070139