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| Tiem,Wesley Thiago Egea; Unsihuay-Vila,Clodomiro. |
| Abstract The electrical sector is under constant evolution. One of the areas refers to the consumers that come to be generators, implementing distributed generation, interconnected to a smart grid. This article discusses the improvement of an algorithm, already presented in the literature, to make the best temporal allocation of loads, electric vehicle, storage and many sources of generation, aiming at the maximum financial performance, that is, the lowest value for the energy invoice The modeling consists of a Mixed Integer Linear Programming (MILP) algorithm, which considers each component of the system and weighs the maintenance and shelf life of storage devices, basically batteries, loads that can be reallocated and the concept of Vehicle-to-grid,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Microgrid; Microgeneration; Distributed generation; Wind energy; Solar energy; Load reallocation; Storage; Electric vehicle; Smart grid. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200215 |
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| Bareta,Maria Luiza E.; Sandim,Álvaro A.; Batista,Alexandre G.; Betini,Roberto C.; Pepplow,Luiz A.. |
| Abstract In a world where technology is even more essential, quality and reliability of electrical system are fundamental. In Brazil, country where most of the energy is produced thought power plants, the existing distribution network is overwhelmed and the needs for the consolidation of distributed generation is growing. Wind and Solar power generation from biomass and another renewable sources are one alternative to power plants, which requires large areas and massive investment. The renewable energy sources mentioned may be assembled in a way to generate reliable energy to properties far from the cities, such as rural zones, where often energy from power plants doesn’t gets to. Distributed generation allows quick development of Brazilian farming and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Microgrid; Renewable energy; Rural zones; Distributed generation; Energy potential. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200218 |
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