Training data optimization for ANNs using genetic algorithms to enhance MPPT efficiency of a stand-alone PV system

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 20, Issue 2, 2012, Pages 241-254

  Kulaksiz, Ahmet Afşin ^a   Akkaya, Ramazan ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Genetic algorithms; Photovoltaic systems; Space vector pulse width modulation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONTROL METHODS; DATA SETS; ENVIRONMENTAL CONDITIONS; EXPERIMENTAL MEASUREMENTS; GENERALIZATION ABILITY; INDUCTION MOTOR DRIVE; MAXIMUM POWER POINT; MAXIMUM POWER POINT TRACKING; PHOTOVOLTAIC MODULES; PHOTOVOLTAIC SYSTEMS; PV MODULES; PV SYSTEM; STAND-ALONE PV SYSTEMS; TRAINING DATA OPTIMIZATION; VARIABLE FREQUENCIES;

ELECTRIC DRIVES; GENETIC ALGORITHMS; INDUCTION MOTORS; NEURAL NETWORKS; OPTIMIZATION; PULSE MODULATION; PULSE WIDTH MODULATION; VECTOR SPACES; VOLTAGE CONTROL;

PHOTOVOLTAIC EFFECTS;

EID: 84857567989     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-1101-1051     Document Type: Conference Paper

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