Title :
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
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2012.2236478