The Economic Load Scheduling Based on Particle Swarm Optimization

Abstract

With the increasing cost of power generation, the economic load dispatching has been paid more and more attention. Considering the environmental temperature as the influencing factor of the economic dispatch of power plant load, it has a stronger adaptability to the working condition than the study that only considers the total load. In this paper, the application of particle swarm optimization in load economic scheduling was introduced. And combined with the actual operation data on two typical units, a comparative analysis was made on the load economic scheduling with and without environmental temperature. It was shown in the analysis results that the unit heat consumption rate decreases with the increase of total load and increases with the increase of temperature when the ambient temperature is taken into account or not. The unit heat consumption rate considering ambient temperature was always lower than that without ambient temperature. And as the temperature drops, the difference got bigger and bigger. The conclusion of the analysis has certain reference significance to the current load economic dispatching of power plants.