Quantum-inspired particle swarm optimization for power system operations considering wind power uncertainty and carbon tax in Australia

IEEE Transactions on Industrial Informatics

Volumn 8, Issue 4, 2012, Pages 880-888

  Yao, Fang ^a   Dong, Zhao Yang ^b   Meng, Ke ^b   Xu, Zhao ^c   Iu, Herbert Ho Ching ^a   Wong, Kit Po ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b UNIVERSITY OF NEWCASTLE   (Australia)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Carbon tax; economic load dispatch; particle swarm optimization; stochastic optimization; wind power

Indexed keywords

AUSTRALIA; BENCHMARK SYSTEM; CARBON TAXES; COMPUTATIONAL FRAMEWORK; CONVERGENCE SPEED; DISPATCH STRATEGY; ECONOMIC DISPATCH; ECONOMIC LOAD DISPATCH; METEOROLOGICAL STATION; POWER CURVES; POWER SYSTEM OPERATIONS; STOCHASTIC OPTIMIZATIONS; STOCHASTIC WINDS; THERMAL UNITS; WIND FARM; WIND SPEED DATA;

ELECTRIC UTILITIES; PARTICLE SWARM OPTIMIZATION (PSO); SCHEDULING; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WEIBULL DISTRIBUTION;

WIND POWER;

EID: 84867963240     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2210431     Document Type: Article

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