State estimation in distribution smart grids using autoencoders

This work proposes an innovative method based on autoencoders to perform state estimation in distribution grids, which has as main advantage the fact of being independent of the network parameters and topology. The method was tested in a real low voltage grid (incorporating smart grid features), und...

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Bibliographic Details
Main Authors: Barbeiro, P. N. Pereira, Krstulovic, J., Teixeira, H., Pereira, J., Soares, F. J., Iria, J. P.
Format: Conference Proceeding
Language:English
Subjects:
Optimization
Smart grids
State estimation
Time measurement
Training
Voltage measurement
Citations: Items that cite this one
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Summary:This work proposes an innovative method based on autoencoders to perform state estimation in distribution grids, which has as main advantage the fact of being independent of the network parameters and topology. The method was tested in a real low voltage grid (incorporating smart grid features), under different scenarios of smart meter deployment. Simulations were performed in order to understand the necessary requirements for an accurate distribution grid state estimator and to evaluate the performance of a state estimator based on autoencoders.
DOI:10.1109/PEOCO.2014.6814454