Unit commitment optimization based on genetic algorithm and particle swarm optimization hybrid algorithm

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 37, Issue 9, 2009, Pages 25-29

  Zhang, Jiong ^a   Liu, Tian Qi ^a   Su, Peng ^a   Zhang, Xin ^b  

^a SICHUAN UNIVERSITY   (China)

^b Chengdu Power Supply Company   (China)

Author keywords

Genetic algorithm(GA); Load economic dispatch; Particle swarm optimization(PSO); Unit commitment

Indexed keywords

ENERGY CONSUMPTION; ENERGY-EFFICIENT SCHEDULING; GENERATION SCHEDULING; HYBRID ALGORITHMS; LOAD ECONOMIC DISPATCH; UNIT COMMITMENT; UNIT COMMITMENTS; UNIT SYSTEMS;

CIRCUIT THEORY; ELECTRIC LOAD FORECASTING; ENERGY EFFICIENCY; GENETIC ALGORITHMS; SCHEDULING ALGORITHMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67650236316     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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