Treffer: A modified Primal―Dual Logarithmic-Barrier Method for solving the Optimal Power Flow problem with discrete and continuous control variables

Title:
A modified Primal―Dual Logarithmic-Barrier Method for solving the Optimal Power Flow problem with discrete and continuous control variables
Authors:
SOLER, Edilaine Martins, DE SOUSA, Vanusa Alves, DA COSTA, Geraldo R. M
Source:
European journal of operational research. 222(3):616-622
Publisher Information:
Amsterdam: Elsevier, 2012.
Publication Year:
2012
Physical Description:
print, 1/2 p
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Programmation mathématique, Mathematical programming, Electrotechnique. Electroenergetique, Electrical engineering. Electrical power engineering, Electroénergétique, Electrical power engineering, Réseaux et lignes électriques, Power networks and lines, Exploitation. Commande de charge. Fiabilité, Operation. Load control. Reliability, Changeur prise en charge, On load tap changer, Cambiador toma en carga, Contrôle continu, Continuous control, Control continuo, Echelle grande, Large scale, Escala grande, Flux puissance optimal, Optimal power flow, Flujo potencia óptimo, Fonction barrière, Barrier function, Funcíon barrera, Fonction logarithmique, Logarithmic function, Función logarítmica, Fonction objectif, Objective function, Función objetivo, Fonction pénalité, Penalty function, Función penalidad, Modélisation, Modeling, Modelización, Méthode point intérieur, Interior point method, Método punto interior, Méthode primale duale, Primal dual method, Método primal dual, Problème mixte, Mixed problem, Problema mixto, Programmation convexe, Convex programming, Programación convexa, Programmation discrète, Discrete programming, Programación discreta, Programmation mixte, Mixed programming, Programación mixta, Programmation non linéaire, Non linear programming, Programación no lineal, Réseau électrique, Electrical network, Red eléctrica, Système bus, Bus system, Sistema bus, Discrete variables, Interior point methods, Nonlinear programming, OR in energy, Optimal Power Flow
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Faculdade de Ciências, UNESP-Univ Estadual Paulista, Departamento de Matemática, Av. Engenheiro Luiz Edmundo Carrijo Coube, 14-01, 17033-360 Bauru, Brazil
Curso de Engenharia Elétrica, Centro de Ciências Exatas e da Tecnologia (CCET), Universidade Federal de São Carlos (UFSCar), Via Washington Luiz, Km 235, 13565-905 São Carlos, Brazil
LASEE. Departamento de Engenharia Elétrica, Universidade de São Paulo (USP), Escola de Engenharia de São Carlos (EESC), Av. Trabalhador Sãocarlense, No. 400, Centro, 13566-590 São Carlos, Brazil
ISSN:
0377-2217
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=26185239
Rights:
Copyright 2015 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:
Electrical engineering. Electroenergetics

Operational research. Management
Accession Number:
edscal.26185239
Database:
PASCAL Archive

Weitere Informationen

The aim of solving the Optimal Power Flow problem is to determine the optimal state of an electric power transmission system, that is, the voltage magnitude and phase angles and the tap ratios of the transformers that optimize the performance of a given system, while satisfying its physical and operating constraints. The Optimal Power Flow problem is modeled as a large-scale mixed-discrete nonlinear programming problem. This paper proposes a method for handling the discrete variables of the Optimal Power Flow problem. A penalty function is presented. Due to the inclusion of the penalty function into the objective function, a sequence of nonlinear programming problems with only continuous variables is obtained and the solutions of these problems converge to a solution of the mixed problem. The obtained nonlinear programming problems are solved by a Primal-Dual Logarithmic-Barrier Method. Numerical tests using the IEEE 14, 30, 118 and 300-Bus test systems indicate that the method is efficient.