Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes

Distributed Energy Resources (DERs) aggregation increases the sustainability of the Electric Vehicles (EVs) market. For example, Fast Charging Stations (FCSs) associated with distributed generation and storage systems in a microgrid infrastructure may be beneficial in increasing self-consumption and peak-shaving strategies and mitigating impacts on the grid. However, microgrid sizing planning is a complex challenge, mainly due to numerous factors related to EV market growth and user behavior. This work defines a methodology focusing on sizing planning and analysis of microgrids for FCSs based on quantitative indices formulated according to the Net Zero Energy Building (NZEB) concept, optimizing self-sufficiency and limiting impacts on the primary electrical grid. The methodology is applied to a real case study considering the growth of EVs in southern Brazil. The developed analyses demonstrate that the proposed microgrid meets the energy needs of the FCS and presents the best NZEB indexes within the considered study horizon. Additionally, representative profiles were characterized for different load and generation conditions, complementing the analyses. It was shown that the storage promotes a delay and reduction in the reverse peak power flow, further enhancing the NZEB indexes.

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Publication Details

Journal
Energies
Published
2024-12-23
DOI
https://doi.org/10.3390/en17246488
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes

Alzenira da Rosa Abaide, Caroline Beatriz Fucks Darui, Nelson Knak Neto, Leonardo Nogueira Fontoura da Silva et al.
Energies
Advanced Battery Technologies Research
article

Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes

Alzenira da Rosa Abaide, Caroline Beatriz Fucks Darui, Nelson Knak Neto, Leonardo Nogueira Fontoura da Silva, Laura Lisiane Callai dos Santos, Matheus S. da Cruz
article en

Abstract

Distributed Energy Resources (DERs) aggregation increases the sustainability of the Electric Vehicles (EVs) market. For example, Fast Charging Stations (FCSs) associated with distributed generation and storage systems in a microgrid infrastructure may be beneficial in increasing self-consumption and peak-shaving strategies and mitigating impacts on the grid. However, microgrid sizing planning is a complex challenge, mainly due to numerous factors related to EV market growth and user behavior. This work defines a methodology focusing on sizing planning and analysis of microgrids for FCSs based on quantitative indices formulated according to the Net Zero Energy Building (NZEB) concept, optimizing self-sufficiency and limiting impacts on the primary electrical grid. The methodology is applied to a real case study considering the growth of EVs in southern Brazil. The developed analyses demonstrate that the proposed microgrid meets the energy needs of the FCS and presents the best NZEB indexes within the considered study horizon. Additionally, representative profiles were characterized for different load and generation conditions, complementing the analyses. It was shown that the storage promotes a delay and reduction in the reverse peak power flow, further enhancing the NZEB indexes.

EnergiesVol. 17(24)
Universidade Federal de Santa Maria (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Agência Nacional de Energia Elétrica, Universidade Federal de Santa Maria
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Advanced Battery Technologies Research
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Planning and Analysis of Microgrids for Fast Charging Stations Considering Net Zero Energy Building Indexes — Alzenira da Rosa Abaide, Caroline Beatriz Fucks Darui, et al. · Energies (2024) | TGRS Research Map | TGRS