Title :
Towards an Auto-Associative Topology State Estimator
Author :
Krstulovic, Jakov ; Miranda, V. ; Simoes Costa, Antonio J. A. ; Pereira, J.
Author_Institution :
TEC (Technol. & Sci.), INESC, Porto, Portugal
Abstract :
This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.
Keywords :
circuit breakers; network topology; neural nets; power system management; IEEE benchmark network; analog electric variables; auto-associative topology; breaker status identification; neural networks; power system topology estimation; sensor signals; state estimator; Data models; Network topology; Optimization; Pollution measurement; State estimation; Topology; Training; Autoencoders; neural networks; power system topology; state estimation;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2236656
