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This paper evaluates existing methods to improve state estimation by incorporating substation measurement dependencies. Three main approaches are considered: a traditional weighted least squares scheme, an iterative algorithm using a 2-point estimate to approximate the covariance matrix, and a variant of the algorithm taking just the diagonal of the estimated covariance matrix. These schemes are tested...
This paper investigates how to perform online system identification employing synchrophasor data. Two approaches to identifying a reduced-order model are presented: a purely data-driven approach, and an approach that integrates online data-driven dynamic system identification with first-principle offline selective modal analysis. With prior knowledge of the frequency range interesting to power system...
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