Enhanced Artificial Intelligence Algorithm for Optimal Unit Commitment Problem

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.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 3087-3092
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.3087
• Online since: January 2013
• Authors: Cong Hui Huang
• Keywords: Enhanced Artificial Intelligence Algorithm, Particle Swarm Optimization (PSO), Unit Commitment

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