A new approach for global optimization in high dimension problems

Author

Jafari, S. ; Abdolmohammadi, H.R. ; Nazari, M.E. ; Shayanfar, H.A.

Author_Institution

Biomed. Eng. Dept., Amirkabir Univ. of Technol., Tehran

fYear

2008

fDate

20-24 July 2008

Firstpage

1

Lastpage

7

Abstract

In this paper, an improved genetic algorithm is proposed to solve the economic dispatch (ED) problem with valve point loading effects. The proposed algorithm reduces the dimension of the search space in a certain way such that it is less time consuming. The evolutionary algorithm is proved to be efficient in solving the economic dispatch problem. Furthermore, it provides a suitable framework for future extension to other optimization algorithms.

Keywords

genetic algorithms; load dispatching; economic dispatch; evolutionary algorithm; genetic algorithm; global optimization; search space dimension reduction; valve point loading effect; Cost function; Fuel economy; Genetic algorithms; Optimization methods; Piecewise linear approximation; Power generation; Power generation economics; Power system economics; Power system simulation; Valves; Economic Dispatch; Genetic Algorithm; Valve Point Effect;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE

Conference_Location

Pittsburgh, PA

ISSN

1932-5517

Print_ISBN

978-1-4244-1905-0

Electronic_ISBN

1932-5517

Type

conf

DOI

10.1109/PES.2008.4596830

Filename

4596830