Abstract
This paper applies the enhanced particle swarm optimization (EPSO) algorithm to solve the unit commitment problem, and compares the results obtained against previous work. EPSO can improve the search quality and also generate a better result through optimization, because ants produced randomly by the pheromone process are not necessary better. The proposed model uses combined carbon finance and spot market formulation, and help energy produces decide when these commitments could be beneficial.
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