%0 Journal Article
%J IEEE Transactions on Power Delivery
%D 2015
%T Fast Frequency-Domain Decomposition for Ambient Oscillation Monitoring
%A Khalilinia, Hamed
%A Zhang, Lu
%A Venkatasubramanian, Vaithianathan
%K AA13-004
%K AARD
%K CERTS
%K RTGRM
%X 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.
%B IEEE Transactions on Power Delivery
%P 1 - 1
%8 02/2015
%! IEEE Trans. Power Delivery
%R 10.1109/TPWRD.2015.2394403
%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2015
%T Fast SVD Computations for Synchrophasor Algorithms
%A Wu, Tianying
%A S. Arash Nezam Sarmadi
%A Venkatasubramanian, Vaithianathan
%A Pothen, Alex
%A Kalyanaraman, Ananth
%K AA13-004
%X Many singular value decomposition (SVD) problems in power system computations require only a few largest singular values of a large-scale matrix for the analysis. This letter introduces two fast SVD approaches recently developed in other domains to power systems for speeding up phasor measurement unit (PMU) based online applications. The first method is a randomized SVD algorithm that accelerates computation by introducing a low-rank approximation of a given matrix through randomness. The second method is the augmented Lanczos bidiagonalization, an iterative Krylov subspace technique that computes sequences of projections of a given matrix onto low-dimensional subspaces. Both approaches are illustrated on SVD evaluation within an ambient oscillation monitoring algorithm, namely stochastic subspace identification (SSI).
%B IEEE Transactions on Power Systems
%P 1 - 2
%8 03/2015
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2015.2412679