DocumentCode
1324349
Title
Discussion of “An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems”
Author
Selvakumar, A. Immanuel
Author_Institution
Dept. of Electr. & Electron. Eng., Karunya Univ., Coimbatore, India
Volume
25
Issue
4
fYear
2010
Firstpage
2009
Lastpage
2009
Abstract
Summary form only given. In this paper, the authors have mentioned that their constraint-handling technique improves the solution quality without sacrificing the computational effort for nonconvex economic dispatch problems. Nevertheless, there is no validation for this statement. For the Korean power system, the authors have used the result of the nonlinear programming approach to validate the proposed IPSOs. Test system 2 can also be solved by the mixed integer quadratic programming (MIQP) approach. Since mathematical programming (MP) approaches provide guaranteed convergence, they can be taken as the benchmark.
Keywords
integer programming; load dispatching; particle swarm optimisation; quadratic programming; constraint-handling technique; mixed integer quadratic programming; nonconvex economic dispatch problems; nonlinear programming; particle swarm optimization; Optimization; Particle swarm optimization; Power generation; Power system economics;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2010.2069870
Filename
5571031
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