State estimation of DC microgrids using manifold optimization and semidefinite programming

DC microgrids are becoming more common in modern systems, so computation methodologies such as the power flow, the optimal power flow, and the state estimation require being adapted to this new reality. This paper deals with the latter problem, which consists of reconstructing the state variables gi...

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Bibliographic Details

Published in:	Results in Engineering
Main Authors:	Oscar Danilo Montoya, Alejandro Garcés-Ruiz, Walter Gil-González
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Manifold optimization DC microgrids Nonlinear programming Semidefinite programming State estimation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2590123024014300