Economic Dispatch resolution using Adaptive Acceleration Coefficients based PSO considering generator constraints

The Economic Dispatch (ED) is one of the main concerns for the operation of power systems. Several methods have been applied to solve such problem. Unfortunately, the conventional methods are not suitable to deal with this optimization issue because of the practical operating constraints of generators. This paper present an improved Particle Swarm Optimization (PSO) method based on a variation of acceleration coefficients according to iteration number and adaptively with cognitive and social best positions of the swarm. The new approach is founded on Adaptive Acceleration Coefficients (AAC) based PSO and tested on two power systems contain 6 and 15 generating units. The algorithm is compared with other heuristic optimization techniques as demonstrating improved performance and effectiveness over them.