Comparative performance study of genetic algorithm and particle swarm optimization applied on off-grid renewable hybrid energy system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7076 LNCS, Issue PART 1, 2011, Pages 151-158

  Tudu, Bhimsen ^a   Majumder, Sibsankar ^a   Mandal, Kamal K ^a   Chakraborty, Niladri ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Genetic Algorithm; Micro hydro plant; Off grid renewable energy system; Particle Swarm Optimization; Solar panels; Wind turbine

Indexed keywords

COMPARATIVE ANALYSIS; COMPARATIVE STUDIES; CPU UTILIZATION; ELECTROLYZERS; GENERATION COST; HYBRID ENERGY SYSTEM; HYDROGEN TANK; META-HEURISTIC TECHNIQUES; MICRO-HYDRO PLANT; NET PRESENT COST; NUMBER OF ITERATIONS; OFF-GRIDS; OPTIMAL SOLUTIONS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION TECHNIQUE; PERFORMANCE STUDY; QUALITY OF SOLUTION; RENEWABLE ENERGY SOURCE; SOLAR PANELS; UNIT SIZING;

COSTS; ELECTROLYTIC CELLS; GENETIC ALGORITHMS; HEURISTIC METHODS; HYBRID SYSTEMS; HYDROGEN; SOLAR CONCENTRATORS; SOLAR ENERGY; WIND TURBINES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84555196743     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-27172-4_19     Document Type: Conference Paper

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