Smart Technologies Applied in Microgrids of Renewable Energy Sources: A Systematic Review

被引：0

作者：

Borges, Toni Alex Reis ^{[1
,2
]}

Brito, Filipe Cardoso ^{[2
,3
]}

dos Santos, Rafael Guimaraes Oliveira ^{[2
,3
]}

Nascimento, Paulo de Tarso ^{[3
]}

da Silva, Celso Barreto ^{[2
,3
]}

Panizio, Roberta Mota ^{[4
,5
]}

Saba, Hugo ^{[2
,6
]}

Nascimento Filho, Aloisio Santos ^{[2
,3
]}

机构：

[1] Inst Fed Bahia, Dept Computacao, BR-44096486 Feira De Santana, Brazil

[2] Nucl Pesquisa Aplicada & Inovacao NPAI, BR-41741020 Salvador, Brazil

[3] Univ SENAI CIMATEC, Dept Stricto Sensu, BR-41650010 Salvador, Brazil

[4] Inst Politecn Portalegre IPP, Dept Tecnol, P-7300110 Portalegre, Portugal

[5] VALORIZA, Res Ctr Endogenous Resources Valorisat, P-7300110 Portalegre, Portugal

[6] Univ Estado Bahia UNEB, Dept Ciencias Exatas & Terra, BR-41180045 Salvador, Brazil

来源：

ENERGIES | 2025年 / 18卷 / 11期

关键词：

renewable energy; smart technologies; microgrids; artificial neural network; multi-agent system; ARTIFICIAL NEURAL-NETWORK; MANAGEMENT STRATEGY; ELECTRICITY LOAD; POWER QUALITY; HYBRID; OPTIMIZATION; PREDICTION; ANN; CONSUMPTION; GENERATION;

D O I：

10.3390/en18112676

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The production of electricity from renewable sources has become a global necessity due to concerns about reducing carbon dioxide (CO2) emissions into Earth's atmosphere. The use of microgrids has emerged as a potential scenario in this production process, especially with the application of smart technologies integrated into decision making. This article used the PRISMA method to identify the intelligent techniques employed in the context of microgrids from 2015 to 2023, totaling 156 articles. The results indicate progress in the use of artificial neural networks and multi-agent systems in environments of, respectively, predictability and management, and open space for discussions involving the incorporation of new techniques aimed for future implementations.

引用

页数：20

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