Thermal unit commitment strategy with solar and wind energy systems using genetic algorithm operated particle swarm optimization

PECon 2008 - 2008 IEEE 2nd International Power and Energy Conference

Volumn , Issue , 2008, Pages 866-871

  Senjyu, Tomonobu ^a   Chakraborty, Shantanu ^a   Saber, Ahmed Yousuf ^b   Toyama, Hirofumi ^a   Yona, Atsushi ^a   Funabashi, Toshihisa ^c  

^a UNIVERSITY OF THE RYUKYUS   (Japan)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

^c MEIDENSHA CORPORATION   (Japan)

Author keywords

Genetic algorithm; Particle swarm optimization; Renewable energy sources; Solar energy; Unit commitment; Wind energy

Indexed keywords

GENETIC ALGORITHMS; NATURAL RESOURCES; SOLAR ENERGY; SOLAR RADIATION; SOLAR SYSTEM; WIND POWER;

BINARY PARTICLE SWARM OPTIMIZATIONS; ELECTRICITY COSTS; GENETIC ALGORITHM OPERATORS; HIGH QUALITIES; NEW SOLUTIONS; PARTICLE SWARM OPTIMIZATION; POSITIVE EFFECTS; POTENTIAL SOLUTIONS; PRODUCTION COSTS; REFINEMENT PROCESS; RENEWABLE ENERGY SOURCES; SIMULATION RESULTS; SOLAR ENERGY SYSTEMS; THERMAL POWER SYSTEMS; THERMAL UNITS; UNIT COMMITMENT; UNIT COMMITMENT PROBLEMS; WIND ENERGY; WIND ENERGY SYSTEMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 63049138091     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PECON.2008.4762597     Document Type: Conference Paper

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