RUO Principal

Repositorio Institucional de la Universidad de Oviedo

Ver ítem 
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • Ver ítem
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • Ver ítem
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Listar

Todo RUOComunidades y ColeccionesPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issnPerfil de autorEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issn

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

AÑADIDO RECIENTEMENTE

Novedades
Repositorio
Cómo publicar
Recursos
FAQs

Bfs algorithm for voltage-constrained meshed dc traction networks with nonsmooth voltage-dependent loads and generators

Autor(es) y otros:
Arboleya Arboleya, PabloAutoridad Uniovi; Farag Eldemerdash, Bassam Mohamed AbouissaAutoridad Uniovi; González Morán, CristinaAutoridad Uniovi; El-Sayed Mahmoud Hassan, IslamAutoridad Uniovi
Palabra(s) clave:

Backward/forward sweep (BFS) algorithm

Distribution system modeling

Railway systems

Voltage dependent load modeling

Fecha de publicación:
2016
Editorial:

IEEE

Versión del editor:
http://dx.doi.org/10.1109/TPWRS.2015.2420574
Citación:
IEEE Transactions On Power Systems, 31(2), p. 1526-1536 (2016); doi:10.1109/TPWRS.2015.2420574
Descripción física:
p. 1526-1536
Resumen:

In this paper, a new procedure based on a backward/forward sweep (BFS) algorithm for solving power flows in weakly meshed dc traction networks is presented. The proposed technique is able to consider the trains as nonlinear and nonsmooth (nondifferentiable) voltage-dependent loads or generators. This feature permits the inclusion of the trains' overcurrent protection and the squeeze control. With the use of the mentioned controls, the conventional power flow problem becomes a voltage constrained power flow problem, and the interaction between the trains and the network can be accurately modeled. However, the train control induces a highly nonsmooth voltage-dependent load characteristic, causing convergence problems in most of the derivative-based algorithms. The proposed algorithm is faster, more robust, and more stable than the derivative-based ones. In addition, the authors present all of the formulation in a compact matrix-based form by means of the graph theory application and the node incidence matrix

In this paper, a new procedure based on a backward/forward sweep (BFS) algorithm for solving power flows in weakly meshed dc traction networks is presented. The proposed technique is able to consider the trains as nonlinear and nonsmooth (nondifferentiable) voltage-dependent loads or generators. This feature permits the inclusion of the trains' overcurrent protection and the squeeze control. With the use of the mentioned controls, the conventional power flow problem becomes a voltage constrained power flow problem, and the interaction between the trains and the network can be accurately modeled. However, the train control induces a highly nonsmooth voltage-dependent load characteristic, causing convergence problems in most of the derivative-based algorithms. The proposed algorithm is faster, more robust, and more stable than the derivative-based ones. In addition, the authors present all of the formulation in a compact matrix-based form by means of the graph theory application and the node incidence matrix

URI:
http://hdl.handle.net/10651/37853
ISSN:
0885-8950; 1558-0679
DOI:
10.1109/TPWRS.2015.2420574
Colecciones
  • Artículos [37546]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1090]
Ficheros en el ítem
Thumbnail
untranslated
Postprint (407.9Kb)
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadatos
Mostrar el registro completo del ítem
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
El contenido del Repositorio, a menos que se indique lo contrario, está protegido con una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commons Image