Optimal power flow using evolutionary programming techniques

Author

El Metwally, M.M. ; El Emary, A.A. ; El Bendary, F.M. ; Mosaad, M.I.

Author_Institution

Electr. Power & Machines Dept. Fac. of Eng., Cairo Univ., Cairo

fYear

2008

fDate

12-15 March 2008

Firstpage

260

Lastpage

264

Abstract

This paper presents comparisons between different methods used to solve Optimal Power Flow (OPF) problem economic dispatch (ED) problem. These methods are Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithm from the heuristic methods. Comparisons between these heuristic methods and conventional methods like Interior Point method (IPM) are introduced. The objective function, which consists of the fuel (generation) cost is minimized. Numerical examples typical to each method are introduced. The solutions obtained are quite encouraging and useful in the economic dispatch environment.

Keywords

genetic algorithms; heuristic programming; load flow; particle swarm optimisation; power system economics; economic dispatch problem; fuel cost; genetic algorithms; heuristic methods; interior point method; optimal power flow problem; particle swarm optimization; Cost function; Environmental economics; Fuel economy; Genetic programming; Load flow; Power engineering and energy; Power generation; Power generation economics; Power system economics; Power system interconnection; Genetic Algorithms; Interior Point method; Optimal Power Flow and Particle Swarm Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Conference, 2008. MEPCON 2008. 12th International Middle-East

Conference_Location

Aswan

Print_ISBN

978-1-4244-1933-3

Electronic_ISBN

978-1-4244-1934-0

Type

conf

DOI

10.1109/MEPCON.2008.4562390

Filename

4562390