Environmental/Economic Power Dispatch Problem Using Particle Swarm Optimization
نویسندگان
چکیده
At the present time, the extensive use of fossil based fuels in power generation units requires the concern of the environmental pollution. The traditional economic power dispatch cannot meet the environmental safety requirements, since it focus only on minimizing the total fuel cost of the system. The multi-objective optimization in electric power systems treats economic and emission act as competing objectives, to reach an optimal solution some reasonable trade off among objectives are require. Therefore, in this paper, we investigated the environmental/economic power dispatch problem by employing a particle swarm optimization algorithm. The power dispatch is formulated into a bi-objective optimization problem, which is to minimize the fuel cost as well as pollutant emission simultaneously. Two objectives are merged in to a single objective by using the weighted sum method. Best cost and best emission solution are obtained for different loading conditions for the standard IEEE 118-bus, 14 generating units system.
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