Industry 4.0 - Bibliometric Study for Microgrid Optimization

EasyChair Preprint 15815

Abstract

In recent years, microgrids (MGs) based on renewable energy sources have gained prominence due to their advantages over traditional power grids. The increasing investment in Distributed Energy Resources (DERs), driven by governmental and corporate awareness, requires the development of robust mathematical models to optimize the operation of these networks. This study conducts a bibliometric analysis to identify trends and advances in the application of optimization models to MGs, emphasizing tertiary control and optimal power flow (OPF), integrating the AMPL language to enhance algorithm performance.

Keyphrases: Bibliometric research, Microgrids, tertiary control

@booklet{EasyChair:15815,
  author    = {Christian Gianelli da Silva and Waner Wodson Aparecido Gonçalves Silva},
  title     = {Industry 4.0 - Bibliometric Study for Microgrid Optimization},
  howpublished = {EasyChair Preprint 15815},
  year      = {EasyChair, 2025}}