Neural-network-based adaptive UPFC for improving transient stability performance of power system

IEEE Transactions on Neural Networks

Volumn 17, Issue 2, 2006, Pages 461-470

  Mishra, Sukumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Controller; Neural network; Power system; Transient stability; Unified power flow controller (UPFC)

Indexed keywords

GENETIC ALGORITHMS; KALMAN FILTERING; SYSTEM STABILITY; THREE TERM CONTROL SYSTEMS; TRANSIENTS;

EXTENDED KALMAN FILTER (EKF); POWER SYSTEM STABILIZER (PSS); TRANSIENT STABILITY; UNIFIED POWER FLOW CONTROLLER (UPFC);

RADIAL BASIS FUNCTION NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; ELECTRIC POWER PLANT; EQUIPMENT; EQUIPMENT DESIGN; EVALUATION; FEEDBACK SYSTEM; INSTRUMENTATION; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); POWER PLANTS;

EID: 33644879423     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.871706     Document Type: Article

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