Distributed adaptive fault section estimation system for large-scale power networks

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2, Issue , 2002, Pages 1350-1353

  Bi, Tianshu ^a   Ni, Yixin ^a   Wu, Felix F ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Companion fuzzy system; Distributed radial basis function neural networks; Fault section estimation; Large scale power networks

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ELECTRIC FAULT CURRENTS; ELECTRIC NETWORK TOPOLOGY; FUZZY SETS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

COMPANION FUZZY SYSTEMS (CFS);

ELECTRIC POWER TRANSMISSION NETWORKS;

EID: 0036085345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. On-line fault section estimation in power systems with radial basis function neural network
2. An efficient multi-way graph partitioning method for fault section estimation in large-scale power networks
3. Fast learning in networks of locally-tuned processing units
4. Universal approximation using radial-basis-function networks
5. Learning from hints in neural networks
6. Representing probabilistic rules with networks of Gaussian basis functions
7. Functional equivalence between radial basis function networks and fuzzy inference systems
8. Comments on 'functional equivalence between radial basis function networks and fuzzy inference systems