Bayesian fusion for maximum power output in hybrid wind-solar systems

Proceedings - 2012 3rd IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2012

Volumn , Issue , 2012, Pages 393-397

  Keyrouz, Fakheredine ^a   Hamad, Mustapha ^a   Georges, Semaan ^a  

^a NOTRE DAME UNIVERSITY   (Lebanon)

Author keywords

Bayesian fusion; computational intelligence; particle swarm optimization; photovoltaic system; Solar power generation; wind power generation

Indexed keywords

BAYESIAN FUSION; BAYESIAN INFORMATION; GLOBAL MAXIMUM; HIGHER EFFICIENCY; MAXIMUM POWER; MAXIMUM POWER OUTPUT; MAXIMUM POWER POINT; MAXIMUM POWER POINT TRACKING; OPTIMAL CURRENT; PARTIAL SHADING; PHOTOVOLTAIC SYSTEMS; PV MODULES; SOLAR IRRADIANCES; SWARM INTELLIGENCE; SYSTEM COSTS; SYSTEM OUTPUT; TRACKING ALGORITHM; WIND ENERGY SYSTEMS; WIND SPEED;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEM INTERCONNECTION; HYBRID SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); POWER ELECTRONICS; SOLAR POWER GENERATION; SOLAR RADIATION; WIND POWER;

WIND EFFECTS;

EID: 84866887384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PEDG.2012.6254032     Document Type: Conference Paper

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