Distribution System State Estimation Using an Artificial Neural Network Approach for Pseudo Measurement Modeling

This paper presents an alternative approach to pseudo measurement modeling in the context of distribution system state estimation (DSSE). In the proposed approach, pseudo measurements are generated from a few real measurements using artificial neural networks (ANNs) in conjunction with typical load...

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Veröffentlicht in:	IEEE transactions on power systems 2012-11, Vol.27 (4), p.1888-1896
Hauptverfasser:	Manitsas, E., Singh, R., Pal, B. C., Strbac, G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks distribution system state estimation Gaussian mixture model Load modeling Measurement uncertainty Power measurement pseudo measurement modeling Reactive power State estimation
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