Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2603
Title: Robust state estimation using mixed integer programming
Authors: Irving, MR
Keywords: Mathematical programming; robustness; state estimation
Issue Date: 2008
Publisher: IEEE
Citation: IEEE Transactions on Power Systems. 23(3): 1519-1520
Abstract: This letter describes a robust state estimator based on the solution of a mixed integer program. A tolerance range is associated with each measurement and an estimate is chosen to maximize the number of estimated measurements that remain within tolerance (or equivalently minimize the number of measurements out of tolerance). Some small-scale examples are given which suggest that this approach is robust in the presence of gross errors, is not susceptible to leverage points, and can solve some pathological cases that have previously caused problems for robust estimation algorithms.
URI: http://bura.brunel.ac.uk/handle/2438/2603
DOI: http://dx.doi.org/10.1109/TPWRS.2008.926721
ISSN: 0885-8950
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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