Title :
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
fDate :
3/1/1997 12:00:00 AM
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;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19970847