Transient stability assessment of a power system using PNN and LS-SVM methods

Journal of Applied Sciences

Volumn 7, Issue 21, 2007, Pages 3208-3216

  Abdul Wahab, Noor Izzri ^a   Mohamed, Azah ^a   Hussain, Aini ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Artificial neural network; Least squares support vector machines; Probabilistic neural network; Transient stability assessment

Indexed keywords

DEEP NEURAL NETWORKS; ELECTRIC POWER SYSTEM STABILITY; ELECTRIC POWER SYSTEMS; NETWORK LAYERS; NEURAL NETWORKS; STABILITY; SUPPORT VECTOR MACHINES; TIME DOMAIN ANALYSIS; TWO PHASE FLOW;

CLASSIFICATION RESULTS; ELECTRICAL POWER SYSTEM; LEAST SQUARES SUPPORT VECTOR MACHINES; MULTI LAYER PERCEPTRON NEURAL NETWORKS (MLPNN); PROBABILISTIC NEURAL NETWORKS; THREE PHASE FAULTS; TIME-DOMAIN SIMULATIONS; TRANSIENT STABILITY ASSESSMENT;

SYSTEM STABILITY;

EID: 36849041017     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2007.3208.3216     Document Type: Article

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