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Comparison of the Performance of the Grid- Connected Photovoltaic System Installed In the Brazilian Cities: Blumenau - SC and Curitiba- PR BABT
Stedile,Rafael; Tonin,Fabianna Stumpf; Urbanetz Junior,Jair.
ABSTRACT This is a study that contemplates the analysis of the main characteristics of 8 grid connected photovoltaic systems (GCPVS), 3 of which are located in the city of Curitiba-PR and 5 located in the city of Blumenau-SC. Data were collected on irradiation in the horizontal plane, generated energy and rainfall, being the first two to calculate the merit indexes, such as Yield, Performance Ratio and Capacity Factor - of those on grid connected Photovoltaic systems.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Grid Connected Photovoltaic Systems; Merit Indices; Microgeneration.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200214
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Computational Model for Microgeneration Simulation, From Solar and Wind Renewable Sources, With Optimal Allocation of Loads, Electric Vehicle and Energy Storage, In a Residential Electrical Micro Network BABT
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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