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
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2010.2069870