DocumentCode
527
Title
Discussion on “A GA-API Solution for the Economic Dispatch of Generation in Power System Operation”
Author
Bhattacharjee, Kushal ; Bhattacharya, Avik ; Chattopadhyay, Pranab Kumar
Author_Institution
Dr. B.C. Roy Eng. Coll., Durgapur, India
Volume
28
Issue
1
fYear
2013
fDate
Feb. 2013
Firstpage
570
Lastpage
571
Abstract
The authors´ effort in presenting a hybrid heuristic method combining real coded genetic algorithm and special class of ant colony optimization for economic dispatch (ED) problems is commendable. The feasibility of the proposed method to solve ED is shown, by experimenting with four test systems considering 3, 6, 15, and 40 units with convex and nonconvex cost functions and also three benchmark functions.
Keywords
ant colony optimisation; concave programming; convex programming; genetic algorithms; heuristic programming; power generation dispatch; power generation economics; ED problems; GA-API solution; ant colony optimization; convex cost functions; generation economic dispatch problem; hybrid heuristic method; nonconvex cost functions; power system operation; real-coded genetic algorithm; Ant colony optimization; Cost function; Economics; Fuels; Generators; Genetic algorithms; Power systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2236479
Filename
6403904
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