Laurent, LisaBrouillon, Jean-SebastienFerrari-Trecate, Giancarlo2023-06-192023-06-192023-06-192023-01-0110.1109/GridEdge54130.2023.10102720https://infoscience.epfl.ch/handle/20.500.14299/198317WOS:000995195900017This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected only from common, unsychronised measuring devices (Smart Meters). First, we present a model of the grid, as well as the existing MLE based on voltage and current phasor measurements. Then, this problem formulation is adjusted for phase-less measurements using common assumptions. The effect of these assumptions is compared to the initial problem in various scenarios. Finally, numerical experiments on a popular IEEE benchmark network indicate promising results. Missing data can greatly disrupt estimation methods. Not measuring the voltage phase only adds 30% of error to the admittance matrix estimate in realistic conditions. Moreover, the sensitivity to measurement noise is similar with and without the phase.Computer Science, Interdisciplinary ApplicationsEngineering, Electrical & ElectronicComputer ScienceEngineeringtext::conference output::conference proceedings::conference paper