Title :
Closure to Discussion on “Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO”
Author :
Vlachogiannis, John G. ; Lee, Kwang Y.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Denmark, Lyngby, Denmark
Abstract :
In this paper an improved coordinated aggregation-based particle swarm optimization algorithm is introduced for solving the optimal economic load dispatch problem in power systems. In the improved coordinated aggregation-based particle swarm optimization algorithm each particle in the swarm retains a memory of its best position ever encountered, and is attracted only by other particles with better achievements than its own with the exception of the particle with the best achievement, which moves randomly.The ICA-PSO algorithm is tested on a number of power systems, including the systems with 6, 13, 15, and 40 generating units.
Keywords :
aggregation; load dispatching; particle swarm optimisation; power systems; economic load dispatch; heuristic optimization techniques; improved coordinated aggregation-based particle swarm optimization algorithm; power systems; Chaos; Cost function; Optimization methods; Particle swarm optimization; Power generation; Power generation economics; Quadratic programming; Adaptive velocity limits; coordinated aggregation; economic dispatch; heuristic optimization techniques; non-smooth cost functions; particle swarm optimization;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2009.2037534
