Robust and Fast State Estimation for Poorly-Observable Low Voltage Distribution Networks Based on the Kalman Filter Algorithm

This paper presents a novel approach for the state estimation of poorly-observable low voltage distribution networks, characterized by intermittent and erroneous measurements. The developed state estimation algorithm is based on the Extended Kalman filter, where we have modified the execution of the...

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Main Authors: Mitja Antončič, Igor Papič, Boštjan Blažič
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-11-01
Colecção:Energies
Assuntos:
state estimation
low voltage
poor observability
kalman
forecast-aided state estimator
weighted least squares
low-voltage state estimation
Acesso em linha:https://www.mdpi.com/1996-1073/12/23/4457
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