NDLI: Implementation and comparison of modified binary particle swarm optimization approaches to an interruptible load dispatch problem

Content Provider	IEEE Xplore Digital Library
Author	Ramos, J.N. Bugnosen, M. Reyes, E. Pedrasa, M.A.
Copyright Year	2012
Description	Author affiliation: Electrical and Electronics Engineering Institute, University of the Philippines - Diliman, Philippines (Ramos, J.N.; Bugnosen, M.; Reyes, E.; Pedrasa, M.A.)
Abstract	The nature of interruptible load programs- immediate, variable, and complex- set it apart from most dispatch type optimization problems. Not only does one have to minimize the total cost of interruption, but also has to generate a dispatch that follows time-based operational limits, and sometimes minimize the frequency of interruptions made. Previous studies have shown the promise of binary particle swarm optimization in obtaining a dispatch that operates within constraints. However, although much improvement has been demonstrated and tested on the binary particle swarm optimization method itself, some are not yet tested in solving an interruptible load dispatch problem. The study explored recent published improvements to the binary particle swarm optimization algorithm to see if making changes to the way particles update and communicate will help the swarm find more optimal solutions. The study found that using the canonical binary particle swarm still provides the most optimal results of those evaluated. The study also determined that the essential version of BPSO also holds great potential in obtaining optimum solutions while ensuring that particles update according to their trajectory.
Starting Page	1
Ending Page	6
File Size	284904
Page Count	6
File Format	PDF
ISBN	9781467348232
ISSN	21593450
e-ISBN	9781467348249
e-ISBN	9781467348225
DOI	10.1109/TENCON.2012.6412272
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-19
Publisher Place	Philippines
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Topology Particle swarm optimization Interrupters Schedules Trajectory Equations Mathematical model load dispatch particle swarm optimization interruptible loads load management optimization methods scheduling
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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