STOCHASTIC MODELING FOR STATE ESTIMATION IN MIDDLE-VOLTAGE ELECTRIC GRIDS

Natallia Makarava, Sascha Eichstädt

Abstract

We present two stochastic modelling approaches to improve state estimation in low and medium-voltage grids. First, a dynamic model for a disturbance observer state estimation is proposed, which introduces a stochastic component into the disturbance dynamics. Second, an approach based on a stochastic electrical power generation model is considered. This model is based on PV data and incorporates information about the seasons and the type of the PV generation units.

Keywords

dynamic state estimation, Kalman filter, pseudo-measurements, nodal load estimation, nodal load observer

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IMEKO-WC-2015-TC21-405.pdf

DOI

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IMEKO TC

TC21 - Mathematical Tools for Measurements

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