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Towards a computationally feasible on-line voltage instability index

Journal Article · · IEEE Trans. Power Syst.; (United States)
DOI:https://doi.org/10.1109/59.192921· OSTI ID:6163561
The power system voltage collapse problem is a complex problem and has not been thoroughly understood. Several researchers have proposed characterizing a collapse using the singularity of the Jacobian of the network descriptor load-flow equations. Previously the authors proposed using the minimum singular value of the Jacobian as a security index for monitoring how closely a power system is operating to a voltage instability. However, a Singular Value Decomposition (SVD) computation is a interactive process with the number of arithmetic operations proportional to the cubic power of the matrix size. Thus, computing an SVD on traditional serial computers will become unacceptably slow as the system size grows large. In this paper, the authors discuss state-of-the-art SVD computation schemes using large arrays of parallel processors that improve a computation speed linearly and quadratically. They also show a comparison between the computation speed and the number of arithmetic units required for various parallel architecture schemes as well as for the traditional serial computer.
Research Organization:
Cornell Univ., School of Electrical Engineering, Ithaca, NY (US)
OSTI ID:
6163561
Journal Information:
IEEE Trans. Power Syst.; (United States), Journal Name: IEEE Trans. Power Syst.; (United States) Vol. 3:2; ISSN ITPSE
Country of Publication:
United States
Language:
English