Economic analysis and design of stand-alone wind/photovoltaic hybrid energy system using Genetic algorithm

2012 International Conference on Computing, Communication and Applications, ICCCA 2012

Volumn , Issue , 2012, Pages

  Gupta, R A ^a   Kumar, Rajesh ^a   Bansal, Ajay Kumar ^b  

^a MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b Poornima Group of Colleges   (India)

Author keywords

Genetic algorithm; optimization; Renewable energy; Solar energy; Wind energy

Indexed keywords

ALGORITHM OPERATION; ANALYSIS AND DESIGN; COST EFFECTIVE; DIESEL GENERATORS; GA ALGORITHM; HIGH RELIABILITY; HYBRID ENERGY SYSTEM; IMPROVED GENETIC ALGORITHMS; INITIAL COSTS; LOCAL MINIMUMS; MAINTENANCE COST; NON-LINEAR INTEGRAL; OBJECTIVE FUNCTIONS; OPTIMAL SIZING; OPTIMAL SOLUTIONS; PHOTOVOLTAIC PANELS; QUALITY OF LIFE; RAJASTHAN; REMOTE AREAS; REMOTE RURAL AREAS; RENEWABLE ENERGIES; SEARCHING ABILITY; STORAGE BATTERY; VARYING LOAD;

CLIMATE CHANGE; COMMUNICATION; ECONOMIC ANALYSIS; ELECTRIC BATTERIES; ELECTRIC POWER SUPPLIES TO APPARATUS; HYBRID SYSTEMS; OPERATING COSTS; OPTIMIZATION; PHOTOVOLTAIC EFFECTS; RURAL AREAS; SOLAR ENERGY; WIND POWER;

GENETIC ALGORITHMS;

EID: 84860610262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCCA.2012.6179189     Document Type: Conference Paper

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