Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"

Ioannis (John) Vlachogiannis; K. Y. Lee

doi:10.1109/TPWRS.2009.2037534

Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"

Ioannis (John) Vlachogiannis, K. Y. Lee

Research output: Contribution to journal › Journal article › Research › peer-review

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.

Original language	English
Journal	IEEE Transactions on Power Systems
Volume	25
Issue number	1
Pages (from-to)	591-592
ISSN	0885-8950
DOIs	https://doi.org/10.1109/TPWRS.2009.2037534
Publication status	Published - 2010

Keywords

particle swarm optimization
Adaptive velocity limits
non-smooth cost functions
economic dispatch
heuristic optimization techniques
coordinated aggregation

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10.1109/TPWRS.2009.2037534

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KW - Adaptive velocity limits

KW - non-smooth cost functions

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KW - heuristic optimization techniques

KW - coordinated aggregation

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Closure to Discussion on "Economic Load Dispatch-A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO"

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Keywords

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