A fast and accurate distance relaying scheme using an efficient radial basis function neural network

Electric Power Systems Research

Volumn 60, Issue 1, 2001, Pages 1-8

  Pradhan, A K ^a   Dash, P K ^a   Panda, G ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Extended Kalman filter (EKF); Harmonics; Neural network

Indexed keywords

COMPUTATIONAL METHODS; ELECTRIC FAULT CURRENTS; ELECTRIC LINES; ELECTRIC POTENTIAL; ELECTRIC POWER SYSTEMS; ELECTRIC RESISTANCE; HARMONIC ANALYSIS; KALMAN FILTERING; NEURAL NETWORKS; PERSONNEL TRAINING;

DISTANCE RELAYING SCHEME; EXTENDED KALMAN FILTER (EKF);

ELECTRIC RELAYS;

EID: 0035976455     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-7796(01)00150-X     Document Type: Article

References (9)

1. Neural network approach to fault classification for high speed protective relaying
2. Performance of an adaptive protection scheme for series compensated EHV transmission systems using neural networks
3. Artificial neural network approach to distance protection
4. Protection scheme for EHV transmission systems with thyristor controlled series compensation using radial basis function neural networks
5. Performance evaluation of a sequencial minimal radial basis function (RBF) neural network learning algorithm
6. Applying pattern recognition in distance relaying
7. Some improvements in the three-phase differential equation algorithm for fast transmission line protection
8. Nonlinear filtering methods of harmonic retrieval and model order selection in Gaussian and non-Gaussian noise