Abstract
Low frequency oscillation is a threat to the stability of interconnected power system. Proper identification of the low frequency oscillation is crucial. In this work continuous wavelet transform (CWT) with complex morlet wavelet is used to extract modal information of the power system oscillations. The modal information of the measured signal such as frequency and damping is determined from the magnitude and phase plot of the complex valued wavelet coefficients. The proposed technique is applied to the measured signal of a two area power system to detect inter area mode of oscillation and results are compared with Eigenvalue analysis method.
| Original language | English |
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| Title of host publication | Proceedings of 2015 3rd International Conference on Advances in Electrical Engineering, ICAEE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 320-323 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781467396950 |
| DOIs | |
| State | Published - 7 Jul 2016 |
Publication series
| Name | Proceedings of 2015 3rd International Conference on Advances in Electrical Engineering, ICAEE 2015 |
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Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Wavelet transform
- complex morlet wavelet
- low frequency oscillation
ASJC Scopus subject areas
- Electrical and Electronic Engineering