Fault section estimation in power system using Hebb's rule and continuous genetic algorithm

International Journal of Electrical Power and Energy Systems

Volumn 33, Issue 3, 2011, Pages 457-465

  Bedekar, Prashant P ^a   Bhide, Sudhir R ^a   Kale, Vijay S ^a  

^a VISVESVARAYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural networks; Continuous genetic algorithm; Fault section estimation; Hebb's learning rule

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BINARY GENETIC ALGORITHM; CIRCUIT BREAKER; CONTINUOUS GENETIC ALGORITHM; CONTINUOUS GENETIC ALGORITHMS; ELECTRICAL POWER SYSTEM; FAULT SECTION ESTIMATION; FAULT SECTIONS; HEBB'S LEARNING RULE; HEBB'S RULE; LEARNING LAW; LEARNING RULES; LINEAR ALGEBRAIC EQUATION; MULTIPLE FAULTS; NEW APPROACHES; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; POWER SYSTEMS; SIMULATION RESULT;

ELECTRIC CIRCUIT BREAKERS; ESTIMATION; GENETIC ALGORITHMS; LEARNING ALGORITHMS; LINEAR EQUATIONS;

NEURAL NETWORKS;

EID: 79952005461     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2010.10.008     Document Type: Article

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