Consulta: creatorFacets:"Fritzen,Paulo Cícero"
Registros recuperados: 3
Data/hora: 05/06/2024 16:19:52

A Computational Framework for Daily Power Flow Analysis Considering Photovoltaic Distributed Generation
Provedor de dados: 52
Autores: Gurski,Erico; Moraes,Fillipe Alexandre; Fritzen,Paulo Cícero; Benedito,Raphael Augusto de Souza.
Abstract In Brazil, the demand for the acquisition and installation of photovoltaic systems has grown exponentially and, with that, the importance of studies considering their effects on the distribution grids power flow also grows. Due to the intermittent nature of photovoltaic generation, it is important to approach the analysis in a discrete way, taking into account the changes in the power injections during the studied period. Thus, this article presents the daily analysis of the effects of photovoltaic generation on the distribution system through the computational implementation of a discretized power flow routine. The implemented routine can also analyze the effects of other distributed generations on distribution grids, whether those grids are...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Distributed Generation; Power Flow; Photovoltaic Systems.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000200207

Power Flow Analysis and Self-recovery of Electrical Energy Distribution Network Using Artificial Neural Networks
Provedor de dados: 52
Autores: Avelar,Fabio da Silva; Fritzen,Paulo Cícero; Furucho,Mariana Antônia Aguiar.
ABSTRACT A computational model for self-recovery of electricity distribution network was developed to simulate it, emulated by the IEEE 123 node model. The electrical system considered has automatic switches capable of identifying a momentary failure in the line and finding the best reconfiguration for its reclosing. An artificial neural network (ANN), backpropagation, was used to classify the type of failure and determine the best reconfiguration of the distribution network. Initially, five power failure scenarios were simulated in certain different parts of the power grid, and power flow analysis via OpenDSS was performed. Next, the most suitable switching was observed within the shortest time interval to restore the power supply. With the purpose of...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Distribution Networks; Optimization; Self-recovery of networks; Smart Grid.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200223

Generation of Electrical Energy Obtained Through a Continuous Current Generator Coupled to the Pedal of an Ergometric Bicycle
Provedor de dados: 52
Autores: Muller,Lilian Vaselquiu; Fritzen,Paulo Cícero; Maciel,Ednilson Soares.
ABSTRACT This study presents a system of conversion of mechanical energy produced by physical activity into electric energy obtained by a CC generator coupled to the pedal of an ergometric bicycle. It presents the converter that will be used to adjust the voltage and power coming from the system, as well as the details of the converter design, the simulation and the primary experimental results of the structure. The methodological procedures related to the development of the converter and data acquisition through simulation were carried out based on the bibliographic research. The study is documentary as equipment manuals were used.
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Renewable energy generation sources; Power generation; CC converter; Human effort; Direct current machine.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132018000200231