Discussion on “A GA-API Solution for the Economic Dispatch of Generation in Power System Operation”

Author

Reddy, A.S. ; Vaisakh, K.

Author_Institution

Electr. & Electron. Eng. Dept., Sir C.R. Reddy Coll. of Eng., Eluru, India

Volume

28

Issue

1

fYear

2013

fDate

Feb. 2013

Firstpage

570

Lastpage

570

Abstract

The commentors feel the authors of the above-named article [ibid., vol. 27, no. 1, pp. 233-242, Feb. 2012] that presents 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. However, we would like to seek the authors´ clarification regarding four particular points.

Keywords

ant colony optimisation; concave programming; convex programming; heuristic programming; power generation economics; ED; GA-API solution; ant colony optimization; convex cost functions; generation economic dispatch; genetic algorithm; hybrid heuristic method; nonconvex cost functions; power system operation; Cost function; Economics; Educational institutions; Loading; Particle swarm optimization; Power systems; Valves;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2012.2236478

Filename

6403908