Comparison of two metaheuristics with mathematical programming methods for the solution of OPF

Author

Biskas, P.N. ; Ziogos, N.P. ; Tellidou, A. ; Zoumas, C.E. ; Bakirtzis, A.G. ; Petridis, V. ; Tsakoumis, A.

Author_Institution

Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki

fYear

2005

fDate

6-10 Nov. 2005

Abstract

This paper presents a comparison of different optimization methods developed for the solution of the nonlinear OPF problem with both continuous and discrete variables. Two mathematical programming methods are compared with two metaheuristics, a particle swarm optimization implementation and an enhanced genetic algorithm. Test results from the application of the methods to several IEEE systems are presented and compared. Useful conclusions are drawn concerning the execution times and the "optimum" costs provided by all four tested methods

Keywords

genetic algorithms; mathematical programming; particle swarm optimisation; power system analysis computing; IEEE system; continuous variable; discrete variable; enhanced genetic algorithm; mathematical programming; nonlinear optimal power flow problem; optimization method; optimum cost; particle swarm optimization; Admittance; Costs; Genetic algorithms; Genetic programming; Load flow; Mathematical programming; Optimization methods; Particle swarm optimization; Programming profession; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on

Conference_Location

Arlington, VA

Print_ISBN

1-59975-174-7

Type

conf

DOI

10.1109/ISAP.2005.1599316

Filename

1599316