SciELO - Scientific Electronic Library Online

 
vol.35 suppl.1Localización de fallas en sistemas de distribución de energía eléctrica considerando un modelo dinámico de cargaDistorsión armónica en redes públicas de baja tensión Comparación de la situación en Colombia y Alemania índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Ingeniería e Investigación

versión impresa ISSN 0120-5609

Resumen

RODRIGUEZ-GARCIA, L.F; PEREZ-LONDONO, S.M  y  MORA-FLOREZ, J.J. Load area aggregation considering integration of electric vehicles to the system. Ing. Investig. [online]. 2015, vol.35, suppl.1, pp.42-49. ISSN 0120-5609.  https://doi.org/10.15446/ing.investig.v35n1Sup.53652.

Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurement-based load modeling approach based on an evolutionary computational technique and a classical reduction method. This aggregate load area model is proposed to reduce areas that consider electric vehicle (EV) load models. The proposed method provides a static equivalent load model and an equivalent network that can be used to reduce the computational effort required by power system studies. In order to validate the application of the proposed methodology, a 30-bus power system considering several disturbances and levels of penetration of the electric vehicles was used. The results show that the equivalent network model allows the reproduction of different events with an acceptable accuracy when it is compared to the original system behavior.

Palabras clave : Reduction of power systems; measurement-based load modeling approach; electric vehicle; particle swarm optimization.

        · resumen en Español     · texto en Inglés     · Inglés ( pdf )