Treffer: A solution to the optimal power flow using genetic algorithm

Title:
A solution to the optimal power flow using genetic algorithm
Authors:
OSMAN, M. S, ABO-SINNA, M. A, MOUSA, A. A
Source:
Applied mathematics and computation. 155(2):391-405
Publisher Information:
New York, NY: Elsevier, 2004.
Publication Year:
2004
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Computer science, Informatique, Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Analyse mathématique, Mathematical analysis, Calcul des variations et contrôle optimal, Calculus of variations and optimal control, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Méthodes numériques en programmation mathématique, optimisation et calcul variationnel, Numerical methods in mathematical programming, optimization and calculus of variations, Programmation mathématique numérique, Numerical methods in mathematical programming, Algorithme génétique, Genetic algorithm, Algoritmo genético, Ecoulement charge, Load flow, Flujo carga, Mathématiques appliquées, Applied mathematics, Matemáticas aplicadas, Programmation non linéaire, Non linear programming, Programación no lineal, Flux puissance optimal, Optimal power flow, Livraison économique, Economic dispatch
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
High technological Institute, 10th Ramadan city, Egypt
Department of Basic Engineering Science, Faculty Of Engineering, Moenoufia University, Shebin El-Kom, Egypt
ISSN:
0096-3003
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16020269
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.16020269
Database:
PASCAL Archive

Weitere Informationen

Optimal power flow (OPF) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units. It is therefore of great importance to solve this problem as quickly and accurately as possible. This paper presents the solution of the OPF using genetic algorithm technique. This paper proposes a new methodology for solving OPF. This methodology is divided into two parts. The first part employs the genetic algorithm (GA) to obtain a feasible solution subject to desired load convergence, while the other part employs GA to obtain the optimal solution. The main goal of this paper is to verify the viability of using genetic algorithm to solve the OPF problem simultaneously composed by the load flow and the economic dispatch problem. Six buses system are used to highlight the goodness of this solution technique.