Resumo (PT):
The development of the microgrid (MG) concept endows distribution networks with increased reliability and resilience and offers an adequate management and control solution for massive deployment of microgeneration and electric vehicles (EVs). Within an MG, local generation can be exploited to launch a local restoration procedure following
a blackout. EVs are flexible resources that can also be actively
included in the restoration procedure, thus contributing to the improvement
of MG operating conditions. The feasibility of MG service restoration,
including the active participation of EVs, is demonstrated in this article through extensive numerical simulation and experimentation in a laboratorial setup.
Meeting reliability requirements in electric power distribution systems characterized by a high penetration of distributed energy resources, load variability, and mass deployment of plugged-in EVs is becoming a challenging task [1]. To ensure reliability, security, and quality of supply, innovative decentralized control architectures should be developed at the distribution level, aiming at higher system observability and controllability while assuring better control and management performances. The materialization of this scenario is in line with smart grid development, in which the MG plays a central
role
Abstract (EN):
The development of the microgrid (MG) concept endows distribution networks with increased reliability and resilience and offers an adequate management and control solution for massive deployment of microgeneration and electric vehicles (EVs). Within an MG, local generation can be exploited to launch a local restoration procedure following a blackout. EVs are flexible resources that can also be actively included in the restoration procedure, thus contributing to the improvement of MG operating conditions. The feasibility of MG service restoration, including the active participation of EVs, is demonstrated in this article through extensive numerical simulation and experimentation in a laboratorial setup. © 2007-2011 IEEE.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Nº de páginas:
16