Radial basis function network based power system stabilizers for multimachine power systems

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 2, Issue , 1997, Pages 622-626

  Abido, M A ^a   Abdel Magid, Y L ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

CONVENTIONAL POWER SYSTEM STABILIZERS; DAMPING CHARACTERISTICS; DIFFERENT OPERATING CONDITIONS; MULTI MACHINE POWER SYSTEM; POWER SYSTEM STABILIZER; POWER SYSTEM STABILIZER (PSS); RADIAL BASIS FUNCTION NETWORKS (RBFN); TIME-DOMAIN SIMULATIONS;

NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TIME DOMAIN ANALYSIS; COMPUTER SIMULATION; DAMPING; ELECTRIC POWER SYSTEMS; REAL TIME SYSTEMS; SYSTEM STABILITY;

STANDBY POWER SYSTEMS; FEEDFORWARD NEURAL NETWORKS;

POWER SYSTEM STABILIZERS (PSS); RADIAL BASIS FUNCTION NETWORK (RBFN);

EID: 0030687102     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.616093     Document Type: Conference Paper

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