Monte Carlo simulation of community microgrid operation: Business prospects in the Brazilian regulatory framework

Microgrids offer an innovative solution to modern energy challenges, providing enhanced reliability and resilience to distribution systems while accommodating the growing presence of distributed energy resources (DER). However, realizing the potential benefits of microgrids requires a comprehensive assessment of their complex technical and economic aspects. This paper introduces a dedicated techno-economic evaluation model for community microgrids (CMGs) while considering a consumer-centric internal market. Uncertainties arising from load variations and intermittent generation are addressed via Monte Carlo simulation (MCS). The proposed internal market model aligns with the Brazilian regulatory framework and enables currently unavailable innovations, such as a community internal market; however, the model can be adapted to the context of any system. We demonstrate the capabilities of the methodology by presenting a case study involving a real microgrid, where economic benefits are shared among all consumers. This study, derived from a research and development (R&D) project, underscores its practical relevance in advancing cleaner and more sustainable energy systems. • Technical-economic evaluation model for community microgrids. • Uncertainty representation through the Monte Carlo simulation method. • A novel community market model enhancing microgrid economic viability. • Performance assessment of the proposed model using a real microgrid case. • Analysis of tariff changes as incentives for microgrid formation.

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Publication Details

Journal
Utilities Policy
Published
2024-11-21
DOI
https://doi.org/10.1016/j.jup.2024.101856
Citations
11
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
2.30
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article

Monte Carlo simulation of community microgrid operation: Business prospects in the Brazilian regulatory framework

Antonio R. Donadon, José F. C. Castro, Osvaldo R. Saavedra, Ronaldo A. Roncolatto et al.
11 citations
Utilities Policy
Smart Grid Energy Management
2.30
article

Monte Carlo simulation of community microgrid operation: Business prospects in the Brazilian regulatory framework

Antonio R. Donadon, José F. C. Castro, Osvaldo R. Saavedra, Ronaldo A. Roncolatto, Rafael G. Bento, Luiz C. P. Silva, Rafael K. Carneiro, Pedro Rosas, Vittoria E.M.S. Andrade, Francisco C. R. Coelho, Fernando A. Assis, Pilar Hernández, Silvangela L. Barcelos
article en
11 citations

Abstract

Microgrids offer an innovative solution to modern energy challenges, providing enhanced reliability and resilience to distribution systems while accommodating the growing presence of distributed energy resources (DER). However, realizing the potential benefits of microgrids requires a comprehensive assessment of their complex technical and economic aspects. This paper introduces a dedicated techno-economic evaluation model for community microgrids (CMGs) while considering a consumer-centric internal market. Uncertainties arising from load variations and intermittent generation are addressed via Monte Carlo simulation (MCS). The proposed internal market model aligns with the Brazilian regulatory framework and enables currently unavailable innovations, such as a community internal market; however, the model can be adapted to the context of any system. We demonstrate the capabilities of the methodology by presenting a case study involving a real microgrid, where economic benefits are shared among all consumers. This study, derived from a research and development (R&D) project, underscores its practical relevance in advancing cleaner and more sustainable energy systems. • Technical-economic evaluation model for community microgrids. • Uncertainty representation through the Monte Carlo simulation method. • A novel community market model enhancing microgrid economic viability. • Performance assessment of the proposed model using a real microgrid case. • Analysis of tariff changes as incentives for microgrid formation.

Utilities PolicyVol. 92
Federal University of São João del-Rei (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Federal de Pernambuco (BR), Agência Nacional de Energia Elétrica (BR), Hospital de Clínicas da Unicamp (BR), Ministry of Science, Technology and Innovation (BR), Universidade Federal do Maranhão (BR)
Partnerships for the goals
Openalex Percentile: Top 11%
Smart Grid Energy Management
2.30
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