A Data-driven Robust Model for Day-ahead Operation Planning of Microgrids Considering Distributed Energy Resources and Demand Response

A Data-driven Robust Model for Day-ahead Operation Planning of Microgrids Considering Distributed Energy Resources and Demand Response

Abstract The optimization of microgrids present challenges such as managing distributed energy resources (DERs) and the high reliance on intermittent generation such as PV and wind turbines, which present an aleatory behavior. The most popular techniques to deal with the uncertainties are stochastic...

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Bibliographic Details
Main Authors: Mauro Obladen de Lara Filho, Rafael Silva Pinto, Cyntia Cristinne Corrêa Baia de Aquino, Clodomiro Unsihuay-Vila, Fabricio H. Tabarro
Format: Article
Language:English
Published: Instituto de Tecnologia do Paraná (Tecpar) 2022-11-01
Series:Brazilian Archives of Biology and Technology
Subjects:
Operation Planning
Microgrids
Data-Driven Robust Optimization
Demand Response
Distributed Energy Resources.
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132023000100605&tlng=en

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