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
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2236479
