Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms

Solar Energy

Volumn 80, Issue 9, 2006, Pages 1072-1088

  Koutroulis, Eftichios ^a   Kolokotsa, Dionissia ^b   Potirakis, Antonis ^a   Kalaitzakis, Kostas ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE   (Greece)

Author keywords

Genetic algorithms; Photovoltaic power systems; Wind power generation

Indexed keywords

COMPUTER SIMULATION; COSTS; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; OPTIMIZATION; SOLAR ENERGY; WIND POWER;

COMPUTATIONAL SIMPLICITY; PHOTOVOLTAIC POWER SYSTEMS; POWER GENERATION SYSTEM; WIND POWER GENERATION;

ELECTRIC POWER GENERATION;

COMPUTER SIMULATION; COSTS; DYNAMIC PROGRAMMING; ELECTRIC POWER GENERATION; GENETIC ALGORITHMS; OPTIMIZATION; SOLAR ENERGY; WIND POWER;

COST-BENEFIT ANALYSIS; GENETIC ALGORITHM; PHOTOVOLTAIC SYSTEM; POWER GENERATION;

EID: 33746776198     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2005.11.002     Document Type: Article

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