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2012 | OriginalPaper | Chapter

Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization

Authors : Xueping Pan, Vaithianathan “Mani” Venkatasubramanian

Published in: Control and Optimization Methods for Electric Smart Grids

Publisher: Springer New York

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Abstract

¹Research in this article was carried out at Washington State University (WSU) while the author was a visiting scholar at WSU.

This article proposes an algorithm denoted Frequency-Domain Optimization (FDO) for real-time modal estimation of power system oscillatory modes based on multiple synchronized Phasor Measurement Units (PMUs). The proposed method combines Fast Fourier Transform (FFT) with least-square optimization to estimate the mode parameters of electromechanical oscillations in power systems. Multiple signals are analyzed simultaneously to improve the accuracy of estimation, and the mode shape can also be determined from analyzing these multiple signals. Results from simulated and measured ambient PMU data show that this FDO method is able to estimate the system modal parameters results effectively.

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Title: Multi-Dimensional Modal Analysis in Large Power Systems from Ambient Data Based on Frequency-Domain Optimization
Authors: Xueping Pan
Vaithianathan “Mani” Venkatasubramanian
Publisher: Springer New York
Book: Control and Optimization Methods for Electric Smart Grids
Print ISBN: 978-1-4614-1604-3

Electronic ISBN: 978-1-4614-1605-0

Copyright Year: 2012
DOI: https://doi.org/10.1007/978-1-4614-1605-0_8