An application of evolutionary computations to economic load dispatch with piecewise quadratic cost functions

Author

Park, J.H. ; Yang, S.O. ; Mun, K.J. ; Lee, H.S. ; Jung, J.W.

Author_Institution

Dept. of Electr. Eng., Pusan Nat. Univ., South Korea

fYear

1998

fDate

4-9 May 1998

Firstpage

289

Lastpage

294

Abstract

Presents evolutionary computations to solve the problems of economic load dispatch (ELD) with single quadratic cost functions and piecewise quadratic cost functions. Genetic algorithms (GAs), evolutionary programming (EP) and evolution strategies (ESs) are applied to the ELD problems. To improve these methods in nonlinear optimization problems, two hybrid optimization methods exploiting the advantages of each evolutionary computation are developed. Optimization methods combining GA with ES and EP with ES are tested in the ELD problem with piecewise quadratic cost functions. Case studies illustrate the superiority of the proposed methods to existing numerical methods

Keywords

economics; functions; genetic algorithms; load dispatching; power system analysis computing; case studies; economic load dispatch; evolution strategies; evolutionary computation; evolutionary programming; genetic algorithms; hybrid optimization methods; nonlinear optimization problems; piecewise quadratic cost functions; Biological cells; Computer applications; Cost function; Electronic switching systems; Evolutionary computation; Fuel economy; Genetic algorithms; Genetic programming; Optimization methods; Power generation economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699727

Filename

699727