Title | Fast Frequency-Domain Decomposition for Ambient Oscillation Monitoring |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Hamed Khalilinia, Lu Zhang, Vaithianathan Venkatasubramanian |
Journal | IEEE Transactions on Power Delivery |
Pagination | 1 - 1 |
Date Published | 02/2015 |
ISSN | 0885-8977 |
Keywords | AA13-004, AARD, CERTS, RTGRM |
Abstract | This paper proposes a multidimensional ambient oscillation monitoring algorithm denoted Fast Frequency Domain Decomposition (FFDD). Based on a new theoretical result, the algorithm is offered as an improvement over previously proposed Frequency Domain Decomposition (FDD) in that FFDD does not require time-consuming Singular Value Decomposition (SVD) and it does not require cross spectrum estimates. FFDD is useful for fast real-time ambient modal estimation of large number of synchrophasor measurements. Algorithm is tested on an archived event data from a real power system. |
DOI | 10.1109/TPWRD.2015.2394403 |
Short Title | IEEE Trans. Power Delivery |