Mode matching pursuit for estimating dominant modes in bulk power grid

Jiang, Tao, Jia, Hongjie, Zhao, Jinli, Ledwich, Gerard, Wang, Dan, Zhang, Jinan, & Qiu, Lulu (2014) Mode matching pursuit for estimating dominant modes in bulk power grid. IET Generation, Transmission & Distribution, 8(10), pp. 1677-1686.

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Abstract

This study presents a general approach to identify dominant oscillation modes in bulk power system by using wide-area measurement system. To automatically identify the dominant modes without artificial participation, spectral characteristic of power system oscillation mode is applied to distinguish electromechanical oscillation modes which are calculated by stochastic subspace method, and a proposed mode matching pursuit is adopted to discriminate the dominant modes from the trivial modes, then stepwise-refinement scheme is developed to remove outliers of the dominant modes and the highly accurate dominant modes of identification are obtained. The method is implemented on the dominant modes of China Southern Power Grid which is one of the largest AC/DC paralleling grids in the world. Simulation data and field-measurement data are used to demonstrate high accuracy and better robustness of the dominant modes identification approach.

Impact and interest:

5 citations in Scopus
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4 citations in Web of Science®

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ID Code: 71924
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: AC-DC power convertors, Power system measurement, Stochastic processes, Power grids, Oscillations, Power system stability, Power system parameter estimation, Iterative methods
DOI: 10.1049/iet-gtd.2013.0730
ISSN: 1751-8695
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: © 2014 The Institution of Engineering and Technology
Deposited On: 21 May 2014 23:18
Last Modified: 10 Nov 2014 23:14

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