Universiti Teknologi Malaysia Institutional Repository

Load flow method using genetic algorithm

Lok, C.W and Zin, A.A.M and Mustafa, M.W. and Lo, Kueiming Lun (2003) Load flow method using genetic algorithm. In: IPEC 2003-6th International Power Engineering Conference.

Full text not available from this repository.

Abstract

Genetic algorithms (GAs) are search methods based on the natural selection and natural genetics, while power flow studies, commonly known as load flow, form an important part of power system analysis. This paper presents the implemention of the simple genetic algorithm and constrained genetic algorithm to solve the load flow problem. It compares the performance of the simple genetic algorithm (SGA) and the constrained genetic algorithm (CGA) to solve the load flow problem. Numerical results on two test systems are presented.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Constraint satisfaction technique, genetic algorithm (GAs), load flow problem, mismatch
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7523
Deposited By: Maznira Sylvia Azra Mansor
Deposited On:07 Jan 2009 23:58
Last Modified:07 Jan 2009 23:58

Repository Staff Only: item control page