Journal article
Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2010 |
| Pages: | 591-592 |
| ISSN: | 08858950 and 15580679 |
| Types: | Journal article |
| DOI: | 10.1109/TPWRS.2009.2037534 |
Adaptive velocity limits coordinated aggregation economic dispatch heuristic optimization techniques non-smooth cost functions particle swarm optimization
Chaos Cost function Optimization methods Particle swarm optimization Power generation Power generation economics Quadratic programming aggregation economic load dispatch improved coordinated aggregation-based particle swarm optimization algorithm load dispatching particle swarm optimisation power systems
