Mode matching pursuit for estimating dominant modes in bulk power grid
Data(s) |
06/05/2014
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Resumo |
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. |
Identificador | |
Publicador |
The Institution of Engineering and Technology |
Relação |
DOI:10.1049/iet-gtd.2013.0730 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. |
Direitos |
© 2014 The Institution of Engineering and Technology |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #AC-DC power convertors #Power system measurement #Stochastic processes #Power grids #Oscillations #Power system stability #Power system parameter estimation #Iterative methods |
Tipo |
Journal Article |