Development of constrained-genetic-algorithm load-flow method

Author

Wong, K.P. ; Li, A. ; Law, M.Y.

Author_Institution

Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia

Volume

144

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

91

Lastpage

99

Abstract

A genetic-algorithm load-flow algorithm is developed. Methods for satisfying the power balance requirement and the voltage magnitude constraint are then developed and incorporated into the genetic-algorithm method to form a constrained-genetic-algorithm load-flow algorithm for solving the load-flow problem. The robustness of the new load-flow algorithm is enhanced by the dynamic population method, the technique for accelerating the convergence of the optimisation process and the network node sequencing procedure described in the paper. The paper presents study results obtained by applying the new algorithm to study the practical Klos-Kerner 11-busbar system under light-load and heavy-load conditions

Keywords

convergence of numerical methods; genetic algorithms; load flow; power system analysis computing; Klos-Kerner 11-busbar power system; computer simulation; constrained-genetic-algorithm load-flow method; dynamic population method; load conditions; network node sequencing procedure; optimisation process convergence; power balance requirement; power systems; robustness; voltage magnitude constraint;

fLanguage

English

Journal_Title

Generation, Transmission and Distribution, IEE Proceedings-

Publisher

iet

ISSN

1350-2360

Type

jour

DOI

10.1049/ip-gtd:19970847

Filename

591191